evaluation of sex pheromone and sticky colour traps … · subhash havnur, s. m. hiremath, raju...
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EVALUATION OF SEX PHEROMONE AND STICKY COLOUR TRAPS FOR MONITORING OF SHOOT AND FRUIT BORER
(Leucinodes orbonalis Gueene.) IN BRINJAL
ARAVINDA M.
DEPARTMENT OF AGRICULTURAL ENTOMOLOGY COLLEGE OF AGRICULTURE, VIJAYAPUR
UNIVERSITY OF AGRICULTURAL SCIENCES, DHARWAD - 580 005
JUNE, 2015
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EVALUATION OF SEX PHEROMONE AND STICKY COLOUR TRAPS FOR MONITORING OF SHOOT AND FRUIT BORER
(Leucinodes orbonalis Gueene.) IN BRINJAL
Thesis submitted to the University of Agricultural Sciences, Dharwad
in partial fulfillment of the requirements for the Degree of
Master of Science (Agriculture)
In
Agricultural Entomology
By
ARAVINDA M.
DEPARTMENT OF AGRICULTURAL ENTOMOLOGY COLLEGE OF AGRICULTURE, VIJAYAPUR
UNIVERSITY OF AGRICULTURAL SCIENCES, DHARWAD - 580 005
JUNE, 2015
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DEPARTMENT OF AGRICULTURAL ENTOMOLOGY COLLEGE OF AGRICULTURE, VIJAYAPAUR
UNIVERSITY OF AGRICULTURAL SCIENCES, DHARWAD
CERTIFICATE
This is to certify that the thesis entitled “EVALUATION OF SEX
PHEROMONE AND STICKY COLOUR TRAPS FOR MONITORING OF SHOOT
AND FRUIT BORER (Leucinodes orbonalis Gueene.) IN BRINJAL” submitted by Mr.
ARAVINDA M., for the degree of MASTER OF SCIENCE (AGRICULTURE) in
AGRICULTURAL ENTOMOLOGY to the University of Agricultural Sciences,
Dharwad, is a record of research work done by him during the period of his study in
this university, under my guidance and supervision and the thesis has not previously
formed the basis of the award of any degree, diploma, associateship, fellowship or
other similar titles.
VIJAYAPUR (S. S. UDIKERI)
JUNE, 2015 CHAIRMAN
Approved by:
Chairman:
(S. S. UDIKERI)
Members: 1.
(S. S. KARABHANTANAL)
2.
(S. B. PATIL)
3.
(A. N. BAGALI)
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ACKNOWLEDGEMENT
It is a matter of pleasure to glance back and recall the path one traverses
during the days of hard work and pre-perseverance. It is still great at this juncture to
recall all the faces and spirit in the form of teachers, friends, near and dear ones. I
would consider this work nothing more than incomplete without attending to the task
of acknowledging the overwhelming help I received during this endeavor of mine.
It is very difficult to express one’s feelings in words but formality demands to
do so the extent possible I consider myself very much fortunate and it is indeed true
that I have had a chance to work under the noble guidance of Dr. S. S. UDIKERI,
Principal Scientist (Cotton Entomology), ARS Hebballi farm, UAS Dharwad and
Chairperson of my advisory committee. I wish to express my deep sense of
gratitude and heartfelt thanks for his inspiring guidance, meritorious support,
sustained interest in planning and execution of research, meticulous and critical
evaluation of the manuscript, personal interest, genuine counseling, continuous and
unitary words of encouragement.
The moral zeal and constant assurance at every count bestowed by
members of my advisory committee Dr. S. S. Karabhantanal, Assistant Professor
(Entomology),
Dr. S. B. Patil, Professor and Head (Agricultural Extension) and Dr. A. N. Bagali,
Associate Professor (Horticulture), College of Agriculture, Vijayapur, their timely
suggestions from the beginning of this investigation, valuable counsel and keen
interest have helped me to shape this manuscript in the present form.
I avail this opportunity to express my sincere gratitude to field staffs, college
farm, Vijayapur. All the teaching and non technical staff, College of Agriculture,
Vijayapur particularly Dr. S. B. Jagginavar, Professor and Head (Entomology), is
highly regarded for their encouragement during the course of study.
I sincerely acknowledge the blessings by my parents Smt. Renuka, and Sri.
Maruthi H. Mallarer, support given by my sisters Jayashree, Gnaneshwari,
Rajeshwari, Navina kumari, Vidyashree and my brother in laws, B. N. Navalagund,
Subhash Havnur, S. M. Hiremath, Raju Jamakhandi, Yellesh Bhati for their
boundless love, needy inspiration, without whose affection I would not have come
up to this level.
The co-operation of my farmers Channappa Kokatnur, Mallappa Ganiger and
Ravi V. Agasar is highly regarded for sparing their farm to conduct experiment. My
diction do not seem to be rich enough to translate gratitude’s into words, the timely
help extended by my all colleagues, my farmers, seniors and all my juniors.
VIJAYAPUR JUNE, 2015 (ARAVINDA M.)
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CONTENTS
Sl. No. Chapter Particulars
CERTIFICATE
ACKNOWLEDGEMENT
LIST OF TABLES
LIST OF FIGURES
LIST OF PLATES
LIST OF APPENDIX
1. INTRODUCTION
2. REVIEW OF LITERATURE
2.1 Importance of pest and yield loss
2.2 Use of pheromone for monitoring
2.3 Different types of traps and their efficacy
2.4 Use of colour traps
3. MATERIAL AND METHODS
3.1 Evaluation of different types of pheromone trap models for monitoring L. orbonalis
3.2 Evaluation of different types of colour sticky traps for monitoring of L. orbonalis
4. EXPERIMENTAL RESULTS
4.1 Evaluation of different types of pheromone trap models for monitoring of L. orbonalis
4.2 Evaluation of different types of colour sticky traps for monitoring of L. orbonalis
5. DISCUSSION
5.1 Evaluation of different types of pheromone trap models for monitoring L. orbonalis
5.2 Evaluation of different types of colour sticky traps for monitoring of L. orbonalis
6. SUMMARY AND CONCLUSIONS
REFERENCES
APPENDIX
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LIST OF TABLES
Table
No. Title
1. Evaluation of different sex pheromone trap models for L. orbonalis
monitoring in brinjal crop.
2. Influence of moth trapping through different trap models on shoot damage
(%) due to L. orbonalis monitoring in brinjal crop.
3. Influence of moth trapping through different trap models on fruit damage
(%) due to L. orbonalis monitoring in brinjal crop.
4. Influence of moth trapping through different trap models on yield (kg plot-
1) due to L. orbonalis monitoring in brinjal crop.
5. Influence of moth trapping through different trap models on yield (q ha-1)
due to L. orbonalis monitoring in brinjal crop.
6.
Influence of different types of pheromone trap models on shoot damage,
fruit damage and total yield.
7. Correlation between shoot infestation and fruit infestation and yield with
moth catches.
8. Total moth catches in different trapping devices.
9. Evaluation of different types of color sticky trap for L. orbonalis monitoring
in brinjal crop.
10. Performance of different types of color sticky traps on shoot damage (%)
due to L. orbonalis monitoring in brinjal crop.
11. Performance of different types of color sticky traps on fruit damage (%)
due to L. orbonalis monitoring in brinjal crop.
12. Performance of different types of color sticky traps on yield (kg plot-1) due
to L. orbonalis monitoring in brinjal crop.
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LIST OF FIGURES
Figure No.
Title
1 Evaluation of different sex pheromone trap models for L. orbonalis monitoring in brinjal crop
2 Impact of different trap modules on moth capture
3 Influence of moth trapping through different trap models on shoot damage (%) due to L. orbonalis monitoring in brinjal crop
4 Influence of moth trapping through different trap models on fruit damage (%) due to L. orbonalis monitoring in brinjal crop
5 Influence of moth trapping through different trap models on yield (q ha-1) due to L. orbonalis monitoring in brinjal crop
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LIST OF PLATES
Plate No.
Title
1. Preparation of Bottle trap and Can trap in the field.
2. Different pheromone trap modules used for trapping experiment.
3. Efficacy of different trap modules in moth capture.
4. Sticky traps of different colors used for monitoring experiment.
5. Field view of moth trapping experiment.
6. Shoot damage by Leucinodes orbonalis in brinjal plants.
7. Brinjal fruit damage and larva of Leucinodes orbonalis.
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LIST OF APPENDICES
Appendix No.
Title
I Meteorological data of Regional Agricultural Research Station, Vijayapur (Karnataka: India), 2014.
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1. INTRODUCTION
Brinjal fruit (unripe) is primarily consumed as cooked vegetable in various ways
and dried plants are used as fuel in rural areas. Brinjal fruits are widely used in
various culinary preparations viz., sliced bhaji, stuffed curry, bertha, chutney,
vangibath, pickles etc. It is often considered as a Mediterranean or mid-Eastern
vegetable. Brinjal assumes special significance among vegetables in the hot wet
season when other vegetables are in short supply. Practically the only vegetable
available at an affordable price for everyone is brinjal. So, it is known as poor man’s
crop.
Brinjal or egg plant occupies a world area of 1.867 mha with a production of
49.79 mt with the productivity of 26.7 t ha-1. In India the area under brinjal cultivation
was estimated to be 0.72 mha with total production of 13.56 mt and the productivity of
19.1 t ha-1. In Karnataka, it is grown in an area of 0.0158 mha with a total production
of 0.4025 m t and the productivity is 25.4 t ha-1 (Anon., 2014b). Brinjal (Solanum
melongena L.) crop is native to India and is grown throughout the country and
throughout the year (Choudhury, 1970). It is one of the widely used solanaceous
vegetable by people and is being cultivated in India for the last 4,000 years. Brinjal is
an important vegetable in South and South-East Asia (Bangladesh, India, Nepal and
Srilanka), where it is one of the three most important vegetable species. This region
accounts for almost 50 per cent of world's area under brinjal cultivation.
In India, there are approximately 2500 varieties of brinjal of various shapes
extending from oval or egg-shaped to long or club shaped. Colours of fruits range
from white, yellow, green and purple to nearly black. Brinjal occupies an important
position in every day diet due to its high nutritive value. Contrary to the common
belief, it is quite high in nutritive value being rich in vitamins like A, B and C and
minerals like calcium, magnesium, phosphorus and fatty acids. It is low in calories
and fats, contains mostly water, some protein, fibre and carbohydrates. It is a good
source of minerals and vitamins and is rich in total water soluble sugars, free
reducing sugars, amide proteins among other nutrients. It has been reported that on
an average, the oblong-fruited egg plant cultivars are rich in total soluble sugars,
whereas, the long-fruited cultivars contain a higher content of free reducing sugars,
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anthocyanin, phenols, glycoalkaloids (such as solasodine), dry matter and amide
proteins (Bajaj et al., 1979).
Though the quantity is very high per unit area (upto 42 t ha-1, Alam et. al.,
2003), but the quality of brinjal is not to the acceptable level. There are several
factors responsible for poor quality of brinjal fruits, among them insect pests are of
major one’s. Though, brinjal is a summer crop, it is being grown throughout the year
under irrigated condition. Hence, it is attacked by number of insect pests right from
nursery stage till harvesting (Regupathy et al., 1997). Among the insect pests
infesting brinjal, Leucinodes orbonalis Gueene is considered the main constraint as it
damages the crop throughout the year. It is known to damage shoot and fruit of
brinjal in all stages of its growth. The yield loss due to the pest is to the extent of 70-
92 per cent (Eswara Reddy and Srinivasa, 2004). As many as 70 insect pests have
been reported on brinjal. Among the major pests infesting brinjal the most important
and destructive one is brinjal shoot and fruit borer (BSFB), (Leucinodes orbonalis
Gueene: Pyralidae: Lepidoptera). In the early stage of the crop, larva bores into the
shoots resulting in drooping, withering and drying of the affected shoots. During the
reproductive stage, tiny shiny larva bores into the flower buds and fruits. The bored
hole is invariably plugged with excreta. The yield loss could be as high as 70 per cent
(Dhandapani et al., 2003) and may go up to 90 per cent in India (Kalloo, 1988).
Eggplant (Solanum melongena Linnaeus) is one of the most economically
important vegetable of tropics having hot-wet climate. The key pest, eggplant fruit
and shoot borer found to be most destructive and ranked first among threats
especially in South Asia, hence has become hot issue for research in this region. It
inflicts sizeable damage up to 80 per cent in terms of fruit and content of vitamin-C
(Ram Prasad Mainali, 2014).
According to Peswani and Ratanlal (1964) the loss due to the infestation of this
pest was estimated to be 20.70 per cent on entire fruit weight basis and 9.70 per cent
only on the basis of damaged portion. The total loss due to fruit borer attack has been
estimated to be 50 to 75 per cent (Leela David, 1966), while Krishnaiah (1980)
reported a crop loss of 54 to 66 per cent due to L. orbonalis from Bangalore. It is also
reported that, there will be reduction in vitamin C content to the extent of 68 per cent
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in the infested fruits (Hami, 1955). Damage to the fruits, particularly in September, is
very severe and the whole crop can be destroyed. L. orbonalis is active throughout
the year at places having moderate climate but its activity is adversely affected by
severe cold (Atwal, 1976).
The losses caused by brinjal pests vary from season to season depending
upon environmental factors as reported by Gangawar and Sachen (1981) and Thanki
and Patel (1988). Among the meteorological parameters, temperature is the most
crucial abiotic factor influencing the life span of any organism. However, temperature,
rainfall, relative humidity and wind speed are the chief weather parameters that
largely influence the activity of a given species of insect. The interaction between
pest activity, biotic and abiotic factors helps in deriving at predictive models that aids
in forecast of pest incidence.
Sex pheromones are important component of Integrated Pest Management
(IPM) programs mainly used to monitor as well as mass-trap the male insects. The
IPM strategy based on sex pheromone for managing the L. orbonalis has reduced
pesticide usage and enhanced the activities of natural enemies in Indo-Gangetic
plains of South Asia (Srinivasan, 2012). Thus, this technology can be expanded as
IPM technology may be beneficial in holistic manner (Mathur et al., 2012).
Many reports are available on the influence of trap colour on the captures of
lepidopteran moths. Such traps vary widely in their spectral reflectance. The influence
of trap colour on the capture of some noctuid pests in sex pheromone baited traps
has been well studied (Mc Laughlin et al. 1975, Mitchell et al. 1989). However, the
importance of the visual stimuli provided by traps in these two studies of night-flying
moths contrasted sharply. Further moths of L. orbonalis are photophobic hence they
are not attracted to light during night. This is one of the reasons for unsatisfactory
control of the pest under field situations.
Pheromone traps offer one of the best sampling tools for flying adult insects. It
has been reported to be very useful for determining seasonal activity of pest species
by several workers (Tamhankar et al., 1989; Singh et al., 2000 and Patil et al., 1992).
The order of effectiveness was emamectin benzoate 5 SG @ 0.0025 % (89.56 %) >
flubendiamide 480 SG @ 0.01 % (83.70 %) > rynaxypyr 20 SC @ 0.006 % (81.04 %)
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> lufenuron 5 EC @ 0.005 % (74.62 %) > novaluron 10 EC @ 0.01 % (69.03 %) >
indoxacarb 15.5 SC @ 0.007 % (67.46 %) based on per cent reduction in shoot
damage and emamectin benzoate (75.06 %) > flubendiamide (63.02 %) > rynaxypyr
(61.55 %) > lufenuron (49.93 %) > novaluron (47.69 %) > indoxacarb (45.34 %) >
thiodicarb (41.08 %) based on per cent reduction in fruit damage (Shah et al., 2012).
In many cases, the insecticides did not provide satisfactory control of the target pest.
Such phenomenon is apprehended to the development of insecticide resistance in
the insect which leads to their misuse and threatening environmental safety.
Therefore, there is a need to look for better and environmentally safer methods of
control. In order to reduce the pesticide load in the environment, to reduce the cost of
production and to be abreast with sustainability, certain behavioural notifications
could be harnessed. Such an endeavour is the use of sex pheromones (Mazumder
and Khalequzzaman, 2010).
In view of this, attempts have been made to carry out investigation on the field
studies on brinjal shoot and fruit borer (BSFB) with the following objectives.
1. Evaluation of different types of pheromone trap models for monitoring Leucinodes
orbonalis.
2. Evaluation of different types of colour sticky traps for monitoring of Leucinodes
orbonalis.
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2. REVIEW OF LITERATURE
The literature pertaining to efficacy of different pheromone trap and colour
sticky trap models for monitoring of Leucinodes orbonalis Gueene and similar pests
has been reviewed and presented here under.
2.1 Importance of pest and yield loss
Eggplant (Solanum melongena Linnaeus) is one of the most economically
important vegetable of tropics having hot-wet climate. The key pest, brinjal fruit and
shoot borer, Leucinodes orbonalis Gueene found to be most destructive and first
ranked threat especially in South Asia, hence become hot issue for research in this
region. It inflicts sizeable damage up to 80 per cent in terms of fruit and content of
vitamin-C (Ram Prasad Mainali, 2014).
Brinjal crop is attacked by a large number of insect pests due to cultivation
throughout the year, out of which brinjal shoot and fruit borer (Leucinodes orbonalis
Gueene, Pyralidae: Lepidoptera) is the most serious (Sardana et al., 2004). Almost
all the groups of insecticides having novel target site of action have been tested
against this insect to produce blemish-free marketable fruits, but the pest has
become resistant to insecticides in recent years (Kabir et al., 1996).
Brinjal shoot and fruit borer (BSFB) (Leucinodes orbonalis Gueene) is a major
insect pest of brinjal in Asia, which causes serious damage especially during the
fruiting stage. The per cent fruit infestation caused by the pest reached up to 90.86%
(Rahman, 1997). Various insects cause enormous losses to this vegetable
throughout the season in Bangladesh as well as in Indian sub- continent (Alam,
1969 and Dhankar, 1988), among them brinjal shoot and fruit borer (BSFB),
Leucinodes orbonalis is the most serious and destructive one. Due to the attack of
this pest, considerable damage occurs each year affecting the quality and yield of
the crop. The larvae of this pest cause 12-16 per cent damage to shoots and 20-60
per cent to fruits (Alam, 1970; Maureal et al., 1982).
The pest is very active during the rainy and summer season and often causes
more than 90 per cent damage (Kalloo, 1988). The yield loss has been estimated up
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to 86 per cent (Ali et al., 1980) in Bangladesh and up to 95 per cent (Naresh et al.,
1986) in India.
2.2 Use of pheromone for monitoring
2.2.1 Pheromones
As early as 1837, Siebold and Von recognized that the odours emitted by
female insects, probably were attractants for males of the same species and that the
odours secreted by male insects were aphrodisiac that incited females to mate.
Fabre (1904) verified that caged female of great peacock moth; Saturnia pyri
(Linnaeus) could attract large number of male moths. He accepted that insects could
detect the odours of other insects, but he could not believe that such odours could
operate over long distances.
Karlson and Butenandt (1959) and Karlson and Luscher (1959) proposed the
name “Pheromones”. The first insect sex pheromone was isolated and identified by
Butenandt et al. (1959) from the females of silkworm, Bombyx mori (Linnaeus).
These investigators, without the benefits of chemical instrumentation, isolated and
identified a single compound trans-10, cis-12, hexaadecadien-1-ol by fractionating
the complex mixture from an extract of the secretory gland.
During the early days of pheromone chemistry, it was believed that every
insect had a single component in its chemical communication system. The earlier
discovery of a multi component pheromone system was by Silverstein et al. (1966).
In their field tests the bark beetle, Ips paraconfuses Lanier responded only to a
mixture of three terpene alcohols which were components of their aggregation
pheromone. Incidentally, it was the first pheromone ever to be isolated and identified
from coleopteran after the identification of the two components of the sex
pheromone of the southern armyworm, Spodoptera eridania Cramer (Jacobson et
al., 1970).
Pheromones can be mainly used in three ways in pest management
programmes, viz., for surveying or monitoring the pest population so that chemical
control measures can be undertaken at the appropriate time, mass trapping of male
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insects and lastly for disrupting the mating between two sexes in pest species
(Minks, 1977).
It is considered that sex pheromones in insects contain mixtures of several
compounds, of which the primary component attracts the insects upwind from a
distance, and the secondary components in combination with the primary
component stimulate other aspects of mating behavior (Picardi, 1979).
Zhu et al. (1987) reported that the main component of female sex pheromone
of L. orbonalis was identified as (E)-11-hexadecenyl acetate. It was synthesized in
the laboratory and tested in the field, where more males were captured in traps
baited with 300-500 µg of the compound than 6 live females when used for adults
capture.
Cork et al. (2001) reported that blends containing between 1 and 10% E11-16:
OH caught more male L. orbonalis than E11-16: Ac alone. At 1,000 µg dose, on
white rubber septa, addition of 1% E11-16: OH to E11-16: Ac was found to be more
attractive to male L. orbonalis than either 0.1 or 10% E11-16:OH. Trap catch was
found to be positively correlated with pheromone release rate, with the highest dose
tested, 3000 µg, on white rubber septa catching more male moths than lower doses.
Studies under farmers' field conditions revealed that Leucinlure™, produced
using indigenously synthesized pheromone concentrates, trapped significantly more
number of adults when used with PCI's portable water traps as compared to funnel
and delta traps (Bhanu et al., 2007).
Srinivasan (2008) reported that use of BFSB sex pheromone traps based on
(E)-11-hexadecenyl acetate and (E)-11-hexadecen-1-ol to continuously trap the
adult males significantly reduced the pest damage on eggplant in South Asia.
2.2.2 Monitoring pest populations using pheromones.
Monitoring of pest population with pheromones has long been recognized as
one of the major benefits of sex pheromone research. Pheromone baited traps can
be effectively used in estimating the population of a pest, so that chemicals can be
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applied at the most appropriate time for controlling pests (Minks and De Long, 1975;
Vakenti and Kadsen, 1976; Toscano et al., 1974).
The potato tuber moth (PTM), Phthorimaea operculella (Zeller), is one of the
most damaging pests of potatoes in field and storage and is generally of greatest
importance in warmer climates. Results on monitoring using pheromone are
reported. Highest captures were obtained by using a 9:1 or 1:1.5 ratio of PTM 1:2.
The attractiveness of 9:1 ratio appears to drop after 90 days of field use. The 1:1.5
ratio remained attractive for 90 days and beyond. In monitoring studies, tuber
damage of clone DTO 33 was related to trap catches (Raman, 1988).
2.3 Different types of traps and their efficacy
Andagopal et al. (2011) studied the efficacy of different types of sex
pheromone traps was evaluated for trapping of male moths Leucinodes orbonalis
Gueene (Pyralidae: Lepidoptera) in the Saurashtra region of Gujarat. Results
showed that there was significant difference in trapping efficiency. Wota-T trap
developed by Pest Control India (PCI) (Pvt.) Ltd., Mumbai, caught significantly
higher number of male moths (21.49 mean male moths/3 nights/trap). Among the
various trapping materials tried, water mixed with kerosene was found better. The
per cent intensity of damage and bore holes on fruits was less in plots where
pheromone traps were installed.
Cork et al. (2009) reported that, Delta and wing traps baited with synthetic
female sex pheromone of Leucinodes orbonalis Gueene were found to catch and
retain ten times more moths than either Spodoptera or uni-trap designs. Locally-
produced water and funnel traps were as effective as delta traps, although ‘windows’
cut in the side panels of delta traps significantly increased trap catch from 0.4 to 2.3
moths per trap per night.
Rajneesh, (2006) evaluated the different types of pheromone trap viz., sleeve
trap, water trap, delta trap and bottle trap for their efficiency in trapping the potato
shoot borer moths Leucinodes orbonalis. The number of moths caught in different
types of traps at 1st week after installation of trap showed that the water trap was
found to be highly significant in catching the more number of moths. The next best
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treatments were sleeve trap and delta trap. The least number of moths were caught
in bottle trap. The similar trend was observed in 2nd 3rd, 4th and 5th week after
installation of traps. It was found that water trap was highly significant over the other
treatments. The sleeve trap, delta trap and bottle trap were found on par with each
other at 5th week after installation. The average mean values shows that water trap
is highly efficient in catching the potato shoot borer moth L. orbonalis compared to
other traps.
Delta and wing traps baited with synthetic female sex pheromone of L.
orbonalis were found to catch and retain ten times more moths than either
Spodoptera litura or uni-trap designs. Locally produced water and funnel traps were
as effective as delta traps, although ‘windows’ cut in the side panels of delta traps
significantly increased trap catch from 0.4 to 2.3 moths per trap per night. Wing traps
placed at crop height caught significantly more moths than traps placed 0.5 m above
or below the canopy (Cork et al., 2003).
Locally produced clear plastic water trap (RCM x 14 cm basal and 21 cm
height) was effective for use in large scale mass trapping trails to control the brinjal
fruit and shoot borer, L. orbonalis. Changing the shape (Square and triangles) and
number (2 and 4) of entry holes in the water trap had no significant effect on trap
catch. Significantly more male moths were caught in trails treated with water
containing powdered detergent than liquid detergent (Cork et al., 2005a).
Cork et al. (2005b) reported that the pheromone blends containing between 1
and 10 per cent of female pheromone gland extract E-11-16: OH caught more male
moths of L. orbonalis than E 11-16: Ac alone. At the 1000 g dose, on white rubber
septa, addition of 1 per cent E11-16: OH to E11-16: Ac was found to be more
attractive to male
L. orbonalis than either 0.1 to 10 per cent E 11-16: OH. Trap catch was founds to be
positively correlated with pheromone release rate, with the highest dose tested,
3000 ıg on white rubber septa catching more male moths than lower doses.
Dickerson and Hoffmann (1977) used a pan of water containing detergent,
with a dispenser of the synthetic pheromone (looplure) of Trochoplusia ni (Hubner)
suspended above from a hanger, placed on top of fence posts surrounding pastures
and soybean fields in Missouri. A single one caught five times as many males of T.
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ni as did an ultra violet light trap without pheromone. Use of double pan trap, of
which the lower pan contained a perfumed detergent (Chiffon) in water and was
separated from the pheromone baited upper pan by cylindrical wire mesh support ,
doubled the catches of T. ni and also attracted large number of Pseudoplusia
includes (Walker), Heliothis zea (Boddie) and Spodoptera frugiperda (Smith).
Thal (1978) reported that a pan of water baited with rubber septa impregnated
with pheromone mixture resulted in the largest catches of the potato tuber moth,
Phthorimaea operculella (Zeller). Voerman and Rothschild (1978) found that males
of P. operculella are attracted by a mixture of trans-4, Cis-7- tridecadienyl acetate
and trans-4, Cis-7, Cis-10-tridecatrienyl acetate. The largest catches were obtained
from water pan traps baited with rubber sleeve stoppers containing both components
in ratios varying between 1:9 and 9:1.
Field studies carried out by Nesbitt et al. (1979) using synthetic (z)-11-
hexadecenal (I) and (z)-11-hexadecenyl-1-ol (II) as bait in water traps revealed that
compound (I) was highly attractive to males of Chilo partellus (Swinhoe).
Sara Savoldelli (2004) used different kinds of pheromone traps for the
monitoring of Plodia interpunctella. Three kinds of sticky trap (wing trap, delta trap,
strip trap) and a funnel trap have been tested. The wing trap has been tested in
three different ways: with only adhesive base, with only adhesive top and with both
base and top glued. Results revealed that, funnel trap captured the lowest
percentage of males. Among the adhesive traps, the highest percentage of captures
was with wing and delta traps, the lowest with the strip trap and a higher number of
adults were captured at the lowest part of the sticky surface. The wing traps with
adhesive base and top and with only adhesive top have captured a similar
percentage of males as the wing with adhesive base. The adhesive base captured
less males than the top.
Balasubramanian and Karuppuchamy (1980) used iron trays of 30 х 22 х 5 cm
fixed in cotton field 15-20 cm above the crop level and the trays were filled with
water and a small quantity of teepol was added to prevent the escape of pink
bollworm, Pectinophora gossypiella (Saunders). Red rubber sleeve stoppers treated
with 1000 µg of gossyplure 60% ZZ-isomer in 1:1 mixture of ZZ and SE- isomer
were used as baits. The mean male population caught per trap was 132 in 60% ZZ
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new bait, 123 in 70% ZZ new bait, 5 in 60% ZZ old bait and 3 in water traps. These
were more effective than sticky traps.
David et al. (1981) reported that water traps baited with synthetic pheromone
of Chilo sacchariphagus indicus (Kapur) (Z) -13 Octdecenyl acetate and alcohol (Z) -
13 Octadecen-1-ol (3:1) caught a maximum of 39 males in a single day 33 days after
setting trap. Even on the 99th day, 10 males were trapped indicating the
effectiveness and persistence of the material. Bourdouxhe (1982) studied
effectiveness of tunshall water trap and INRA and montendison sticky traps. The
results showed that the first was the most efficient in capturing Helicoverpa armigera
Hubner and monitoring its populations. In addition, the pheromone remained active
for three months in the water trap and only one month in sticky traps.
Field studies were conducted to evaluate the influence of trap design, trapping
location, type of pheromone dispenser and trap colour on the capture of Palpita
unionalis (Hubner) males in olive groves. Among the trap types used, the Funnel
was significantly more attractive than Delta, Pherocon 1C, and Pherocon II traps.
Among the four coloured traps tested, white traps were the most effective. However,
a significant difference in trap catches was found between white and brown traps.
Traps baited with red rubber septa captured more males than those baited with the
white one (Christos et al., 2004).
Megahed et al. (1982) reported that phercon trap recorded regular catches of
male moths of P. gossypiella than plastic trap; the phercon trap usually caught more
males than did yellow green or red traps of the same type. Saxena et al. (1982)
reported that regular catches of male potato tuber moth, Phthorimaea operculella
Zeller in pheromone baited water traps protected potatoes from tuber moth
infestation to the extent of 88 to 100 per cent and 80 to 99 per cent.
Oloumi-Sadeghi and Esmail (1983) monitored the population of peach twig
borer, Anarsia lineatella Zeller by means of water or sticky traps both baited with
synthetic pheromone compound Anamone. Water traps caught more moths but
catches in both types of traps demonstrated similar flight trends. Cheng et al. (1985)
found that water traps baited with a blend of the pheromone components captured
as many males of beet army worm, Spodoptera exigua (Hubner) as sticky traps did.
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In order to maintain a high efficacy of capture, it was found that the width of the trap
entrance should not exceed 1 cm.
Dhandapani (1985) reported that a water pan trap 7 cm in diameter baited
with a synthetic pheromone caught significantly more males of Spodoptera litura
(Fabricius) than the sticky trap. Neumark and Teich (1993) developed a device for
maintaining a constant water level in polystyrene cup traps baited with hexalure (Cis-
7-hexadeccen-1-ol acetate) for capturing adult males of P. gossypiella in cotton
fields. Water trap was the best suited for mass trapping and it was the most efficient
and also the most practical both in terms of maintenance and also availability at the
village level (Cork et al., 2005b).
Relative trap efficiency of ICRISAT standard trap and sleeve trap for trapping
males of Spodoptera litura and Helicoverpa armigera using synthetic sex
pheromones and their rhythm of male attraction has been assessed. ICRISAT
standard traps have been found to be more efficient by 1.2 times over sleeve traps
in mass trapping of both S. litura and H. armigera. The standard blend trapped
significantly more number of H. armigera than the other blends and moth catches
decreased with the increase in the minor component of sex pheromone (Lalita
kumara and Reddy, 1992).
Branco et al. (2004) studied the effects of trap design on the capture of male
Matsucoccus feytaudi in maritime pine forests of Portugal, France and Italy, and
Matsucoccus josephi in Aleppo pine stands of Israel. Results revealed that, catches
of M. feytaudi males were not affected by trap design, whereas Matsucoccus
feytaudi males were caught in significantly greater numbers in delta traps. Large
delta traps caught significantly more males of both species.
Four traps were evaluated are box, currently used for monitoring pickleworm
moth populations; the Heliothis; the Pherocon (sticky); and the unitrap (bucket). The
bucket (can) trap consistently captured and retained more male pickleworm moths
than the other traps tested. Trap efficiency was determined for the bucket trap and a
modified (Fluon-coated outer cone) bucket trap. Efficiencies for the bucket and
modified bucket traps were not significantly different. The bucket trap caught 20.3 ±
1.2% (x¯ ± SEM) of males orienting toward the trap, 29.3 ± 1.7% of males touching
the trap and 41.0 ± 3.3% of males landing on the caged females used as the
pheromone source (Valles et al., 1991).
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2.4 Use of colour traps
The horse chestnut leaf miner, Cameraria ohridella Deschka & Dimic
(Lepidoptera: Gracillariidae), an invasive pest that has spread all over the Europe
over the last 25 years. Studies were conducted in Warsaw and Falenty near Warsaw
to know efficacy of different traps in monitoring this pest. No trap colour preference
by male moths was found in tests of white, blue and green barrier traps. Barrier traps
had the largest sticky area (32 dm2) in comparison to PL-2 (5.625 dm2) and delta PL-
1 (3.4 dm2) traps, thus they caught the highest total number of males. However PL-2
traps were the most effective (268-381 moths/dm2). The results suggest that to make
traps with the C. ohridella pheromone be more effective they should be located on a
stem below a tree crown or in its lower part for the first C. ohridella generation, and
in crowns for the second and later insect generations, they should be placed in some
distance (Lidia et al., 2009).
Prasannakumar et al. (2009) conducted field trials to test the efficacy of
pheromone traps against five lepidopterous pests of vegetables during kharif and
rabi, 2007. The red traps were the most effective in trapping male moths of
Helicoverpa armigera (Hub.) (11.89 ± 7.99 moths/trap/week), Earias insulana
(Boisd.) (4.39 ± 2.27 moths/trap/week) and diamondback moth (DBM), Plutella
xylostella (Linn.) (13.23 ± 11.10 moths/trap/ week). The red (19.68 ± 12.49
moths/trap/week) and pink (18.76 ± 11.60 moths/trap/week) traps were found to be
on par in trapping the male moths of brinjal shoot and fruit borer (BSFB), Leucinodes
orbonalis Guen. Yellow pheromone traps attracted maximum moths of Spodoptera
litura Fab. (22.01 ± 14.61 moths/ trap/ week). However, differences in numbers of
moths trapped were statistically non-significant. Laboratory evaluation of lures
placed in red, pink and yellow traps showed that lures in red traps were the most
attractive to the male moths of the five pest species. The study concludes that
beside other factors, trap colour also plays an important role in attracting moths of
these five lepidopterous pest species.
Nine different colours of sticky traps were examined for their attractiveness of
adult spotted Lentiform leafminer, Phyllonorcter blancardella (F) (Lepidoptera:
Gracillariidae). Traps were 9.5-by 17-cm rectangles, and hung horizontally within the
canopy of commercial apple trees at a height of approximately 1.8 m. Among nine
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different colour sticky traps, only three showed significant differences between trap
colours. From this study it was concluded that adult P. blollcardella were not actively
attracted to the traps and that no one colour of trap would be preferable to any other
colour for the purpose of trapping P. blallcardella in orchards (Bruce, 1992).
Clayton et al. (2009) evaluated delta-style traps painted with different colours
(orange, red, yellow, green, blue, and white) for capture of oblique banded leafroller,
Chorisfoneura rosaceana (Harris), and oriental fruit moth, Grapholita molesta
(Busck). Capture of oblique banded leafroller and oriental fruit moth was not
significantly affected by trap colour. There were no differences in capture of pest
species in Pennsylvania between coloured, plastic LepTrap® traps and standard
unpainted white delta-style traps. Given the observed differences, they recommend
using yellow, red, or orange delta traps for monitoring of obliquebanded leafroller
and oriental fruit moth apple production areas in the eastern United States.
Coloured Moericke water pan traps were used to determine the effect of
colour on the preference behavior of butterflies (Lepidoptera: Hesperioidea,
Papilionoidea) over the period 2001 to 2003 in grassland habitats in Eastern
Slovakia. A total of 912 individuals belonging to 53 species and 7 families of
butterflies were trapped. The colour of the traps that caught the most butterflies was
white, followed by blue, violet, yellow and finally the least were caught by red
coloured traps. Ordination analysis showed that some butterfly families and species
were more likely to be caught by traps of a specific colour. The effect of colour on
the catches did not differ significantly among the sites. The butterflies were more
likely to be caught by traps of a certain colour even though the other features of the
traps were the same (Kocikova et al., 2012).
Field studies were conducted to evaluate the influence of coloured pan water
traps on the capture of the tomato leafminer, Tuta absoluta males in open field
tomatoes in two sites (Saheline and Chott-Mariem) in the Centre-East of Tunisia.
Three experiments were setup using coloured traps (white, yellow, orange, red and
green) in a randomized block design with four replicates under low and high
population levels. Results revealed that, in all experiments, that there is no
significant difference in male capture according to trap colour (Mohamed Braham,
2014).
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2.4.1 Colour and other constituents
The relative performance of a clear delta trap baited with individual or
combination sex pheromone and kairomone lures for codling moth, Cydia
pomonella L. was evaluated against three vertical clear pane and coloured delta
traps in field trials within apple, Malus domestica (Borkhausen). The clear caught
significantly more females than the orange delta trap with pear ester alone, pear
ester plus (E,E)-8,10-dodecadien-l-ol (codlemone) (PE-PH), or a combination of PE-
PH and acetic acid. Male moth capture was similar in both clear and coloured delta
traps with all codlemone lures tested. Seasonal moth catches of female moths were
higher in clear than either white (second flight, 2008) or orange (first and second
flights, 2009) traps baited with PE-PH. Total moth catch was significantly higher in
clear than white traps in 2008 and did not differ between clear and orange traps in
2009. Clear traps baited with acetic acid but not with pear ester, PE-PH, or when
unbaited caught significantly more nontarget moths than coloured traps (Alan, 2009).
Field experiments were conducted to determine the attractive action of
different colours (red, yellow, green, and blue) to tomato leaf miner Tuta absoluta
moths and to assess the influence of trap colour on their capture moths in sex
pheromone baited traps. The results demonstrate that T. absoluta moths can
distinguish between colours, where the red sticky traps with 39.7 per cent
reflectance at 612.1 nm dominant wavelength caught the greatest number of moths,
recording 46.89 per cent of the total moths captured, while the yellow sticky traps
caught the fewest number of moths recording only 13.99 %. Delta and water pan
traps of red colour baited with commercial sex pheromone captured 1.58 and 1.52
times, respectively more male T. absoluta moths than such traps of yellow colour
baited with the same sex pheromone. Hence the red colour can be used to enhance
the effectiveness of sex pheromone traps for capturing male T. absoluta moths
(Taha et al., 2012).
Mahmoud et al. (2014) evaluated the effects of trap colour, trap direction and
trap position on the tomato moth, Tuta absoluta (Meyrick) captures. Each trap was
baited with a pheromone capsule type Q lure-TUA®. White pheromone traps caught
more moths than yellow, blue, green and red traps. Significant differences between
mean catches by white trap and other coloured traps were observed.
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The relative performance of a clear delta trap baited with individual or
combination sex pheromone and kairomone lures for codling moth, Cydia
pomonella L. was evaluated against three vertical clear pane and coloured delta
traps in field trials within apple, Malus domestica (Borkhausen). The clear delta trap
caught significantly more moths of each sex than an orange delta trap when baited
with ethyl (E, Z)-2, 4-decadienoate (pear ester) and acetic acid (PE+AA) and
performed similarly to oil-coated pane traps. The clear caught significantly more
females than the orange delta trap with pear ester alone, pear ester plus (E, E)-8,
10-dodecadien-l-ol (codlemone) (PE-PH), or a combination of PE-PH and acetic
acid. Male moth capture was similar in both clear and coloured delta traps with all
codlemone lures tested. Seasonal moth catches of female moths were higher in
clear than either white (second flight, 2008) or orange (first and second flights, 2009)
traps baited with PE-PH. Total moth catch was significantly higher in clear than white
traps in 2008 and did not differ between clear and orange traps in 2009. Clear traps
baited with acetic acid but not with pear ester, PE-PH, or when unbaited caught
significantly more nontarget moths than coloured traps. These studies suggest that
the use of clear traps with their higher captures of female codling moths could
improve both monitoring programs and the development of lure and kill strategies
(Alan, 2010).
Lopez (1998) reported that all-green and all-white Unitraps baited with Trace
lures were significantly less effective than those with a green cover, yellow top, and
white bottom (multicoloured). Multicoloured unitraps captured significantly greater
numbers of males compared to Multipher 1, 2, or 3 traps and commercially
fabricated wire cone or commercially available traps. There was no significant
difference between captures in the wire cone and Scentry traps.
Boyd and Maya (2013) conducted field experiments to evaluate several
pheromone-baited trap characteristics, including pheromone lure substrate, trap
type, trap colour, lure longevity, trap height, and field position. The type of substrate
that pheromone was released from and lure age did not affect trap capture of male
Coleophora deauratella. Moth capture in nonsaturating green Unitraps was
significantly higher than diamond or wing traps when inspected at 2-wk intervals.
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Multi-coloured Unitraps caught significantly more male C. deauratella than Diamond,
and Wing traps when inspected at weekly intervals.
The effect of bucket trap colour on grape root borer (GRB), Vitacea
polistiformis Harris, captures was evaluated in 2005 and 2006. Traps were deployed
in a commercial vineyard consisting of muscadine (Vitis rotundifolia Michx) grapes in
North-Central Florida. Five treatments (green, yellow, green top, yellow top, and
multicolour) and four replicates were evaluated. All traps were baited with GRB
female sex pheromone. Trap colour had a significant effect on the number of GRB
males captured. In 2005, green and yellow traps caught more GRB males than other
trap colours (Craig and Oscar. 2008).
Males of the currant clearwing moth (Synanthedon tipuliformis) preferred
yellow and green pheromone-baited traps. Electrophysiological and behavioural
experiments were conducted to determine whether this phenomenon was caused by
the ability of currant clearwing moths to discriminate colours and their preference for
some of them. In field experiments with traps of equal contrast against the
background but different in colour, light-yellow traps were significantly more
attractive, providing evidence, that S. tipuliformis moths possess colour vision and
use it while reacting to the female sex pheromone. Although it was proved that
currant clearwing moths are able to perceive the UV-colour, the addition of the UV-
colour did not affect attractiveness of traps (Vidmantas and Vincas, 2012).
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3. MATERIAL AND METHODS
Field investigations were carried out on brinjal shoot and fruit borer,
Leucinodes orbonalis Gueene during kharif 2014 and at Jumanal and Hittanalli
villages under irrigated condition which is situated in the Northen dry zone (Zone-III)
of Karnataka between 160 2 latitude and 760 42 longitude with an altitude of 593.8
meters above the mean sea level. The annual average rainfall was 736 mm with a
mean maximum temperature of more than 30ºC throughout the year except during
December. The relative humidity was uniformly higher during rainy months from
June to December and uniformly lower during pre-summer and summer months
from January to May. The meteorological data for the year 2014-15 are presented in
Appendix-I. The details of the materials and methods used and the methodology
adopted during the course of investigation are described hereunder.
3.1 Evaluation of different types of pheromone trap models for monitoring L.
orbonalis
The evaluation of different types of pheromone traps using lucinlure (Hexa
decinyl acetate) was conducted in farmer’s field at Hittanalli village (Vijayapur
Taluka; Vijayapur District) using five different types of pheromone traps with four
replications. The brinjal variety Mahyco super-10 was transplanted with spacing 60
cm x 60 cm over 1 acre area. Crop was grown as per the recommended package of
practice except for plant protection (Anon, 2014c). Soon after transplanting, different
types of traps viz., commercial models of water trap, sleeve trap and delta trap and
locally prepared bottle traps and can traps were fixed in field at 10m X 10m distance
between traps. The lure was changed only once 15 days after installation. The
observation was recorded on number of moths caught in each trap after first week of
installation at five days interval. The moths were disposed off after every
observation.
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Plate 1: Preparation of Bottle trap and Can trap in the field
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Treatment details for evaluation of different types of pheromone trap models for
monitoring L. orbonalis
Treatment Trap Models
T1 WOTA-T (Water) traps. Commercial model
T2 Sleeve traps. Commercial model
T3 Delta traps. Commercial model
T4 Bottle traps. Locally prepared model
T5 Can traps. Locally prepared model
T6 Control No traps
3.1.1 Observations
3.1.1.1 Shoot infestation
For shoot and fruit borer, plants from ten feet radius from the point of installed
traps were selected from each field and observed for shoot damage. The extent of
damage was expressed in percentage. The per cent shoot infestation was recorded
by counting the number of infested shoots and total number of shoots by using the
formula given below.
Number of infested shoots Per cent shoot infestation = x 100 Total number of shoots
3.1.1.2 Fruit infestation
Similarly, the per cent fruit infestation was recorded by counting the number of
infested fruits and total number of fruits by using the formula mentioned below.
Number of infested fruit Per cent fruit infestation = x 100
Total number of fruit
3.1.1.3 Fruit yield
The brinjal fruit yield was recorded as per plot basis from each treatment in
every picking. All together there were 30 pickings. The yield has been presented as
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kg per plot and quintal per hector. Only marketable yield was taken into
consideration for an impact analysis.
3.1.2 Water or Wota-T™ trap
It is a water trap designed by M/s Pest Control (India) Ltd, Bengaluru for mass
trapping pests of crops such as sugarcane borers, brinjal shoot and fruit borer,
diamondback moth etc. Wota-T™ is easy to assemble on a single pole. The trap
consists of a green colour plastic bowl (25×10cm diameter); adapter, basin to hold
water mixed with oil or detergent and a lure holder with a canopy. The pheromone
septa were suspended from the lure holder from the centre of the basin in such a
way that it is 2-3 cm above the surface of water. About three fourth of the container
is filled with water and oil on the spread to hold caught moths by the pheromones.
moths attracted to the trap are killed when they fall into the water containing castor
oil (Plate 2).
3.1.3 Delta trap
It is a water trap designed by M/s Pest Control (India) Ltd, Bengaluru,
consisting of triangular yellow colour thin sheets with sticky substance on one side.
The pheromone septa were placed inside the triangular sheets. The base of inner
side of triangular sheet is provided with gelatinous gum to hold the attracted moths
inside (Plate 2).
3.1.4 Sleeve trap
Commercially available sleeve traps consisting of a long plastic sleeve, in
which cotton soaked in chemical solution was placed in plastic sleeve and the
pheromone septa were suspended from the lure holder at the centre of the top cover
lid.
3.1.5 Can traps
Can traps were locally prepared with the help of yellow colour oil cans of
having 5 litre capacity. An 8 cm2 window cut was given at all four sides of the can for
entry of moths. The pheromone septa were suspended with the help of thin iron wire
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Plate 2: Different pheromone trap modules used for trapping experiment.
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(thread) from the top of the can and about three fourth of the container below
window cut is filled with water and castor oil on the spread to hold caught moths by
the pheromone (Plate 2).
3.1.6 Bottle traps
Bottle traps were locally prepared with the help of two litre mineral water
bottles. A 4.0 cm diameter cut hole was given at four sides of the bottle for entry of
moths. The pheromone septa were suspended from the thin iron wire (thread) from
the top lid of the bottle and about three fourth of the container below circular hole cut
is filled with water and castor oil was spread over water to hold caught moths by the
pheromone (Plate 2).
3.1.7 Pheromone Sample
The composition of the pheromone components of L. orbonalis is (E)-11-
hexadecenyl acetate (E11-16: Ac) and (E)-11-hexadecen-1-ol (E11-16: OH). The
pheromone impregnated in the white plastic septa was used in these studies were
manufactured and marketed in the name of Lucin-lure® and supplied by M/s Pest
Control (India) Ltd., Division Biocontrol Research Laboratories, Bengaluru-561 203.
3.2 Evaluation of different types of colour sticky traps for monitoring of L.
orbonalis
The evaluation of different coloured sticky traps for monitoring of L. orbonalis,
a field experiment was conducted in farmer’s field at Jumnal village (Vijayapur
Taluka; Vijayapur District) using seven different types of coloured sticky traps with
three replications. The brinjal variety Mahyco super-10 was transplanted with
spacing 60 x 60 cm. Recommended package of practice was followed except plant
protection practices to raise the crop (Anon., 2014c). Different traps which are made
up of thin iron sheet (1.5’ x 1.0’ size) and are wrapped by different colour (Violet,
Indigo, Blue, Green, Yellow, Orange, Red) fluorescent stick sheets. These sheets
were smeared with colourless grease on both sides (for sticking of moths). The traps
were installed (in 1.0 acre area at 10 x 10 m distance between traps) just above the
crop canopy (30-50 cm). The traps were installed soon after transplanting and
observation was recorded on number of moths caught in each trap after first week of
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Plate 3: Efficacy of different traps in moth capture
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Plate 4: Sticky traps of different colours used for monitoring experiment
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installation at five days interval. As in case of previous objective the observations
were recorded shoot and fruit damage as well as yield parameters.
3.2.1 Details of the treatments for evaluation different types colour sticky traps for
monitoring of L. orbonalis
Treatments Details
T1 Violet coloured traps.
T2 Indigo coloured traps.
T3 Blue coloured traps.
T4 Green coloured traps.
T5 Yellow coloured traps.
T6 Orange coloured traps.
T7 Red coloured traps.
T8 Control; (no traps).
The observed data in both experiments were subjected to necessary
transformations before analysis. The statistical analysis was done using software
Microsoft excel and M-stat (DMRT).
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Plate 5: Field view of moth trapping experiment.
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4. EXPERIMENTAL RESULTS
Results on the investigation carried out for evaluation of different types of
pheromone trap models and colour sticky traps for monitoring of brinjal shoot and fruit
borer L. orbonalis have been presented here under.
4.1 Evaluation of different types of pheromone trap models for monitoring of L.
orbonalis
4.1.1 Moth catch
The different types of pheromone trap viz., water trap, sleeve trap, delta trap,
locally prepared bottle trap and can traps were evaluated for their efficiency in trapping
the brinjal shoot and fruit borer moths and results obtained are presented in Table 1.
The adult male moth trapping exercise through different types of trapping device
using a common lure and these changed at similar intervals revealed varied
effectiveness. From the data it was evident that the pest was active throughout
cropping period, hence the moth catches have been seen accordingly. There is a
significant difference among traps for their efficacy at all observations except 105 to
120 and 135 to 150 days after installation of trap. However during this period also the
moth catches have been noticed, but, there was no significant variation.
The observations on the number of moths caught in different types of traps at 5
days after installation of trap showed that highly significant number of moths trapped in
water trap (6.50 moth/ trap) which was on par with locally prepared can trap (5.50
moths/trap) and bottle trap with 2.75 moths/trap. The least number of moths were
caught in delta trap with 2.00 moths/trap and sleeve trap with 1.25 moths/trap. The
similar trend was observed in 15, 20, 25, 30, 35, 50, 55, 60, 70, 75, 85, 100, 130, days
after installation of traps.
At 10 days observation, highest moth catches were found in water trap (6.25
moths/trap) which was differed significantly from can trap (4.00 moths/trap), both
sleeve trap and the bottle trap caught 1.50 moths/trap. Least effective was delta trap.
The similar trend was observed in 40, 65 and 125 days after installation of traps.
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Table 1. Evaluation of different sex pheromone trap models for L. orbonalis monitoring in brinjal crop
Treatment
Number of moths caught/trap (in five days)
5
DAIT
10
DAIT
15 DAIT
20 DAIT
25 DAIT
30 DAIT
35 DAIT
40
DAIT
45
DAIT
50 DAIT
55 DAIT
60 DAIT
65 DAIT
70 DAIT
75 DAIT
T1
Water trap
6.50
(2.74)a
6.25
(2.69)a
4.00
(2.23)a
8.00
(2.99)a
3.50
(2.12)a
3.00
(2.00)a
1.75
(1.64)a
3.50
(2.12)a
3.25
(2.06)a
2.50
(1.85)a
2.75
(1.93)a
2.25
(1.80)a
2.25
(1.79)a
2.25
(1.80)a
2.50
(1.85)a
T2
Sleeve trap
2.00
(1.72)b
1.50
(1.57)c
1.00
(1.41)b
2.00
(1.73)c
1.00
(1.41)c
1.75
(1.65)b
0.75
(1.31)bc
0.75
(1.31)b
1.75
(1.64)b
1.25
(1.46)ab
0.75
(1.31)b
1.25
(1.49)b
1.50
(1.57)b
1.00
(1.41)b
1.00
(1.41)c
T3
Delta trap
1.25
(1.49)c
1.00
(1.41)c
1.00
(1.41)b
1.75
(1.65)c
1.00
(1.41)c
1.50
(1.57)b
0.00
(1.00)c
0.50
(1.21)b
1.25
(1.49)b
0.50
(1.21)b
0.50
(1.21)b
1.00
(1.39)b
1.00
(1.41)b
0.75
(1.31)b
0.75
(1.31)c
T4
Bottle trap
2.15
(1.93)ab
1.50
(1.57)c
1.25
(1.49)ab
2.25
(1.80)c
2.00
(1.73)b
1.75
(1.65)b
1.25
(1.49)ab
0.75
(1.31)b
1.25
(1.49)b
0.25
(1.10)b
1.00
(1.41)b
1.50
(1.57)ab
1.00
(1.41)b
1.50
(1.57)ab
1.25
(1.49)bc
T5
Can trap
5.50
(2.54)a
4.00
(2.22)b
3.75
(2.18)a
3.75
(2.17)b
2.25
(1.79)b
2.25
(1.80)b
0.50
(1.21)c
1.00
(1.39)b
2.00
(1.72)b
1.50
(1.57)ab
1.25
(1.49)b
1.75
(1.65)ab
1.25
(1.49)ab
2.00
(1.72)a
2.25
(1.79)ab
CD @ 5% 0.22 0.22 0.12 0.20 0.16 0.14 0.23 0.26 0.23 0.35 0.19 0.19 0.15 0.21 0.24
SE.m ± 0.04 0.04 0.03 0.04 0.02 0.04 0.07 0.06 0.02 0.08 0.04 0.02 0.03 0.06 0.06
DAIT- Days After Installation of Traps; Figures in parentheses √x+1 transformed values
Contd…
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Treatment
Number of moths caught/trap (in five days)
80
DAIT
85 DAIT
90 DAIT
95 DAIT
100 DAIT
105 DAIT
110 DAIT
115
DAIT
120 DAIT
125 DAIT
130 DAIT
135 DAIT
140 DAIT
145 DAIT
150 DAIT
Mean
T1
Water trap
2.00
(1.73)a
5.00
(2.45)a
3.00
(2.00)a
3.00
(2.00)a
4.75
(2.40)a
0.75
(1.31)a
0.00
(1.31)a
0.00
(1.31)a
1.50
(1.54)a
2.75
(1.93)a
6.00
(2.64)a
2.50
(2.50)a
2.00
(2.50)a
2.50
(1.82)a
2.50
(1.82)a
3.08
(2.03)a
T2
Sleeve trap
1.00
(1.41)c
1.50
(1.57)b
0.75
(1.31)b
1.00
(1.41)c
1.00
(1.41)cd
0.25
(1.10)a
0.00
(1.10)a
0.00
(1.10)a
0.25
(1.10)a
0.75
(1.29)b
0.75
(1.31)cd
0.50
(0.50)a
0.75
(0.50)a
0.50
(1.18)a
0.50
(1.18)a
0.96
(1.33)c
T3
Delta trap
1.00
(1.41)c
0.50
(1.22)c
0.75
(1.31)b
0.75
(1.31)c
0.50
(1.21)d
0.25
(1.10)a
0.00
(1.10)a
0.00
(1.10)a
0.00
(1.00)a
0.50
(1.21)b
0.50
(1.21)d
0.50
(0.50)a
1.50
(0.50)a
0.50
(1.21)a
0.50
(1.21)a
0.72
(1.24)c
T4
Bottle trap
1.00
(1.41)c
1.00
(1.41)bc
1.25
(1.49)b
0.75
(1.31)c
1.25
(1.49)c
0.00
(1.00)a
0.00
(1.00)a
0.00
(1.00)a
0.00
(1.00)a
0.75
(1.31)b
1.50
(1.57)c
0.50
(0.50)a
1.50
(0.50)a
0.50
(1.21)a
0.50
(1.21)a
1.06
(1.35)ab
T5
Can trap
1.50
(1.57)b
4.50
(2.34)a
2.75
(1.93)a
2.25
(1.80)b
2.00
(1.73)b
0.75
(1.31)a
0.00
(1.31)a
0.00
(1.31)a
1.25
(1.36)a
1.25
(1.49)b
2.50
(1.87)b
1.75
(1.75)a
1.75
(1.75)a
1.75
(1.64)a
1.75
(1.64)a
2.03
(1.72)ab
CD @ 5% 0.09 0.17 0.18 0.17 0.15 NS NS NS
NS 0.24 0.23 NS NS NS NS
0.29
SE.m ± 0.02 0.05 0.05 0.04 0.03 0.11 0.12 0.12 0.80 0.06 0.06 0.68 0.66 0.67 0.67 0.06
DAIT- Days After Installation of Traps; Figures in parentheses √x+1 transformed values
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At 90 days after installation of trap, highest moth catches were found in water
trap with 3.00 moths/trap which was on par with can trap (2.75 moths/trap) and bottle
trap (1.25 moths/trap) and least effective was sleeve trap and delta trap with 1.00, 0.75
moths/trap, respectively.
At 45 and 95 days after installation of trap, highest moth catches were found in
water trap with 3.25 and 3.00 moths/trap respectively. It was followed by can trap
(2.00, 2.25 moths/trap) and sleeve trap (1.75, 1.00 moths/trap). Least number of moth
catches were recorded in both delta trap and bottle trap 1.25, 0.75 moths respectively.
Highest moth catches were found in water trap 2.50/trap followed by can trap
(1.75/trap), at 80 days after installation of trap and all other traps were not effective.
It was found that water trap was highly significant over the other treatments and
recorded 3.08/trap moth catches on an average at five days interval. The can trap
(2.03/trap) and bottle trap (1.06/trap) were found on par with each other followed by
sleeve trap (0.96/trap) and delta trap (0.72/trap).
The seasonal mean values have revealed that water trap is highly efficient in
catching the brinjal shoot and fruit borer moth L. orbonalis compared to other traps
followed by can trap.
4.1.2 Shoot damage (%)
The different types of traps were evaluated for their efficiency in reducing the per
cent shoot damage by brinjal shoot and fruit borer. Results obtained are presented in
Table 2.
The moth trapping have rendered an influence over the pest incidence and
resulted in reducing the shoot damage. From Table 2, it was evident that the shoot
damage (%) observed among the treatments was corresponding to the trapping
efficacy. In general significantly higher damage was noticed in control plots where traps
were not installed. The data on shoot damage (%) was non-significant at 25, 45, 50
and 85 days after installation of trap was negligible. For rest of the observations, there
was significant difference was noticed among the trap treatments and also as against
control.
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Table 2. Influence of moth trapping through different trap models on shoot damage (%) due to L. orbonalis monitoring in brinjal crop
Treatment
Shoot damage (%) as influenced by moth trapping.
5
DAIT
10
DAIT
15
DAIT
20
DAIT
25
DAIT
30
DAIT
35
DAIT
40
DAIT
45
DAIT
50
DAIT
55
DAIT
60
DAIT
65
DAIT
70
DAIT
75
DAIT
T1
Water trap
1.38
(6.71)a
2.75
(9.51)a
4.39
12.02a
5.54
(13.61)a
6.94
(6.71)a
7.62
15.98)a
7.36
(15.69)a
7.15
(23.32)a
9.33
(17.77)a
8.35
(16.61)a
8.90
(17.28)a
7.76
(16.06)a
6.80
(14.97)a
7.76
(16.06)a
3.06
(10.05)a
T2
Sleeve trap
5.14
(13.08)b
8.22
(16.62)b
6.89
(15.19)bc
7.26
(15.55)ab
9.53
(14.24)a
9.65
(18.06)ab
9.71
(18.14)bc
9.65
(25.97)bc
10.58
(18.97)a
10.15
(18.52)a
9.73
(18.13)ab
9.01
(17.42)a
9.61
(18.01)ab
9.86
(18.29)ab
9.33
(17.77)b
T3
Delta trap
7.47
(14.24)c
11.57
(19.88)c
7.80
(16.19)c
7.96
(16.31)b
10.40
(13.08)a
11.63
(19.91)b
10.80
(19.17)c
11.01
(25.20)c
10.70
(19.07)a
10.36
(18.76)a
11.57
(19.88)b
11.57
(19.88)b
11.60
(19.76)b
11.57
(19.88)b
9.47
(17.82)a
T4
Bottle trap
1.97
(7.09)a
7.76
(16.06)b
5.19
(13.08)c
7.08
(15.37)ab
9.18
(17.90)a
9.07
(17.43)b
9.07
(17.43)abc
8.64
(24.64)ab
10.81
(19.16)a
10.49
(18.87)a
9.23
(17.67)a
8.88
(17.32)a
9.13
(17.57)ab
8.85
(17.28)a
8.30
(16.70)b
T5
Can trap
1.72
(6.81)a
4.12
(11.52)a
4.32
(11.76)a
5.60
(13.67)a
7.97
(16.81)a
8.52
(16.97)a
8.19
(16.63)ab
8.31
(24.06)ab
10.11
(18.51)a
9.40
(17.79)a
8.22
(16.62)a
8.22
(16.62)a
7.60
(15.91)a
8.22
(16.62)a
8.01
(16.36)b
T6
Control
7.26
(15.55)c
9.65
(18.06)c
7.36
(15.69)c
7.76
(16.06)b
10.49
(18.87)a
11.57
(19.88)b
10.70
(19.07)c
10.36
(18.76)c
10.80
(19.17)a
10.40
(19.08)a
11.01
(25.20)b
11.60
(19.76)b
11.63
(19.91)b
11.01
(25.20)b
9.73
(18.13)b
CD @ 5% 2.12 2.03 2.04 1.46 NS 1.55 1.38 1.07 NS NS 1.46 1.56 2.14 1.52 1.89
SE.m ± 0.45 0.48 0.37 0.32 2.13 0.37 0.34 0.39 0.09 0.15 0.46 0.28 0.41 0.39 0.44
DAIT- Days After Installation of Traps; Figures in parentheses are arc sine transformed values.
Contd…
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33
Treatment
Shoot damage (%) as influenced by moth trapping.
80
DAIT
85
DAIT
90
DAIT
95
DAIT
100 DAIT
105 DAIT
110 DAIT
115 DAIT
120 DAIT
125 DAIT
130 DAIT
135 DAIT
140 DAIT
145 DAIT
150 DAIT
Mean
T1
Water trap
7.51
(15.74)a
0.09
(0.87)a
1.62
(7.11)a
5.35
(13.35)a
5.03
(12.94)a
3.76
(11.16)a
3.26
(10.35)a
3.61
(10.88)a
4.41
(12.08)a
5.43
(13.45)a
5.58
(13.59)a
6.51
(14.78)a
6.94
(15.21)a
7.51
(15.82)a
2.81
(9.51)a
5.48 (12.97)
a
T2
Sleeve trap
9.82
(18.22)ab
0.59
(3.09)a
6.40
(14.63)b
9.92
(18.32)b
7.95
(16.36)b
8.22
(16.62)b
4.13
(11.67)ab
8.09
(16.50)b
6.47
(14.73)b
6.86
(15.15)ab
7.54
(15.90)bc
7.97
(16.36)ab
9.24
(17.69)b
9.33
(17.77)ab
9.33
(17.77)b
8.24
(15.44)b
T3
Delta trap
11.07
(19.42)a
0.37
(2.38)a
6.42
(14.67)b
9.33
(17.77)b
8.13
(16.53)b
8.39
(16.80)b
6.68
(14.96)b
8.47
(16.89)a
6.68
(14.97)b
7.71
(16.09)b
7.90
(16.30)c
9.33
(17.76)b
9.25
(17.70)b
11.32
(19.64)b
11.57
(19.88)c
9.16
(17.38)b
T4
Bottle trap
8.91
(17.36)ab
0.30
(2.19)a
1.76
(7.08)b
8.22
(16.62)b
7.07
(15.33)b
7.48
(15.79)b
3.85
(11.26)a
4.13
(11.68)ab
5.57
(13.64)ab
5.82
(13.96)ab
6.46
(14.71)abc
7.26
(15.56)a
9.04
(17.49)b
8.99
(17.40)a
8.22
(16.62)b
7.22
(15.01)ab
T5
Can trap
8.22
(16.62)a
0.19
(1.26)a
7.46
(15.82)b
7.76
(16.06)b
5.11
(13.06)a
4.23
(11.84)a
3.46
(10.68)b
4.13
(11.68)ab
5.21
(13.14)a
5.61
(13.63)a
5.87
(13.97)ab
6.80
(15.08)b
8.13
(16.53)ab
8.22
(16.62)a
7.76
(16.06)b
6.56
(14.29)ab
T6
Control
11.63
(19.91)b
0.69
(3.19)a
6.47
(14.73)b
9.53
(14.24)b
8.22
(16.62)b
8.39
(16.80)b
5.60
(13.67)b
9.04
(17.49)b
6.42
(14.67)b
7.97
(16.36)b
7.95
(16.36)c
8.91
(17.36)b
9.92
(18.32)b
11.07
(19.42)ab
11.60
(19.76)c
9.24
(16.32)b
CD @ 5% 1.78 3.08 1.77 1.85 1.49 1.58 1.16 1.55 0.96 1.28 1.39 1.31 1.17 1.67 1.93 1.65
SE.m ± 0.56 NS 0.40 0.58 0.46 0.47 0.31 0.41 0.29 0.39 0.24 0.39 0.30 0.41 0.43 0.42
DAIT- Days After Installation of Traps; Figures in parentheses are arc sine transformed values.
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34
The observations on the shoot damage (%) at 5 days after installation of trap
showed (table 2) that the lowest shoot damage (1.38%) was found in water trap
treatment and was on par with can trap (1.72%). The next lowest shoot damage
(1.97%) was observed in bottle trap installed plot followed by sleeve trap (5.14%) and
delta trap (7.47 %) treatments. Significantly higher shoot damage (7.26 %) was
recorded in control plot. The similar trend was observed in 10, 15, 20, 30, 35, 40, 55,
70, 75, 90, 95, 100, 110, 120, 135, 145 days after installation of traps.
The observations on the shoot damage per cent at 60 days after installation of
trap showed that significantly lowest shoot damage (7.76 %) was found in water trap
but was on par with can trap (8.22 %). The next lowest shoot damage (8.88 %) was
observed in bottle trap followed by sleeve trap (9.01 %) and delta trap (11.57 %)
treatments. The similar trend was observed in 65, 80, 125, 130, 140 and 150 days after
installation of trap.
At 105 days after installation of trap, the lowest per cent of shoot damage (3.76)
was found in water trap and was on par with can trap (4.23 %). The significantly lowest
per cent shoot damage was noticed in control and delta trap as they recorded 8.39 per
cent shoot damage and were on par with sleeve trap (8.22 %) and bottle trap (7.48 %).
At 115 days after installation of trap, the lowest shoot damage (3.61 %) was
found in water trap followed by can trap and bottle trap treatments. The next lowest
percent of shoot damage (8.09) was observed in sleeve trap followed by delta trap. In
control plot, 9.04 per cent shoot damage was recorded.
The seasonal lowest shoot damage was recorded in water trap (5.48 %)
followed by can trap (6.56 %). 7.22, 8.24, 9.16 per cent damage were recorded in
bottle trap, sleeve trap and delta trap, respectively. Highest per cent shoot damage
was recorded in control (9.24 %).
4.1.3 Fruit damage (%)
Different types of traps had their efficacy in terms of reduced fruit damage (%) by
brinjal shoot and fruit borer and also results of the investigation are presented in Table
3.
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35
Table 3. Influence of moth trapping through different trap models on fruit damage (%) due to L. orbonalis monitoring in brinjal crop.
Treatment
Fruit damage (%) as influenced by moth trapping.
Pickings
1st
2nd
3rd
4th
5th
6th
7th
8th
9th
10th
11th
12th
13th
14th
15th
T1
Water trap
2.81
(9.51)a
23.32
(28.75)a
15.95
(23.38)a
12.42
(20.63)a
8.13
(16.33)a
10.21
(18.18)a
15.40
(23.03)a
8.58
(16.97)a
10.65
(19.04)a
9.73
(18.17)a
17.35
(24.49)a
12.46
(20.36)a
12.53
(20.72)a
9.83
(18.26)a
12.21
(20.45)a
T2
Sleeve trap
9.33
(17.77)b
28.48
(32.20)ab
18.27
(25.25)a
31.03
(33.69)b
12.16
(20.36)bc
22.33
(28.09)b
18.78
(25.60)ab
17.54
(24.71)b
19.02
(25.71)bc
16.85
(24.16)b
33.77
(35.51)c
38.58
(38.39)c
21.83
(27.67)b
18.31
(25.16)c
18.17
(25.09)ab
T3
Delta trap
11.57
(19.88)c
32.16
(34.53)b
30.91
(33.65)b
32.23
(34.50)b
14.12
(22.03)c
21.50
(26.91)ab
19.50
(26.20)b
19.55
(26.22)b
23.49
(28.96)c
17.23
(24.26)b
35.42
(36.49)c
39.33
(38.80)c
23.93
(29.22)b
20.71
(27.06)bc
21.18
(27.17)b
T4
Bottle trap
8.22
(16.62)b
26.77
(31.15)ab
17.03
(24.36)a
23.80
(29.19)ab
11.02
(19.38)abc
13.80
(21.64)ab
19.75
(26.38)b
16.84
(24.18)b
15.05
(22.80)ab
13.08
(21.19)ab
28.82
(32.33)bc
27.78
(31.66)b
22.03
(27.85)b
15.35
(22.93)b
18.00
(25.07)ab
T5
Can trap
7.76
(16.06)b
24.18
(29.39)a
15.99
(23.41)a
18.70
(24.86)a
10.34
(18.67)ab
11.74
(19.96)ab
15.27
(22.95)a
15.58
(22.98)b
13.40
(21.36)a
12.73
(20.81)ab
22.22
(28.04)ab
15.22
(22.65)a
14.50
(22.38)a
14.73
(22.51)b
15.25
(22.95)ab
T6
Control
12.46
(20.36)c
33.11
(35.12)b
30.49
(33.46)b
33.51
(35.20)b
15.05
(22.80)c
22.03
(27.85)ab
19.59
(26.27)b
19.54
(26.22)b
23.93
(29.22)c
18.27
(25.25)b
38.58
(38.39)c
30.91
(33.65)b
23.32
(28.75)b
21.50
(26.91)c
23.32
(28.75)b
CD @ 5% 1.93 2.77 2.41 4.58 2.56 4.41 1.79 2.99 2.79 2.80 3.35 4.50 3.11 2.85 3.18
SE.m ± 0.61 0.81 0.11 1.53 0.79 1.02 0.39 0.99 0.93 0.75 1.53 0.99 1.02 0.88 0.95
Figures in parentheses are arc sine transformed values.
Contd…
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36
Treatment Fruit damage (%) as influenced by moth trapping.
Pickings
16th
17th
18th
19th
20th
21st
22nd
23rd
24th
25th
26th
27th
28th
29th
30th
Mean
T1
Water trap
17.66
(24.78)a
12.44
(20.64)a
21.46
(27.58)a
20.77
(27.10)a
21.45
(27.39)a
18.98
(25.83)a
20.25
(26.74)a
16.33
(23.72)a
19.37
(26.11)a
22.50
(28.30)a
19.20
(25.95)a
16.50
(23.95)a
10.46
(18.81)a
17.52
(24.60)a
14.36
(22.16)a
15.03 (22.40)
a
T2
Sleeve trap
28.33
(32.02)b
26.21
(30.79)b
30.49
(33.46)b
26.58
(30.90)b
33.51
(35.20)bc
24.32
(29.51)b
23.50
(28.99)bc
25.46
(30.10)b
25.50
(30.21)b
25.25
(30.08)ab
28.75
(32.41)b
17.55
(24.70)a
18.99
(25.75)b
24.21
(29.45)b
17.81
(24.90)ab
23.36
(28.59)b
T3
Delta trap
28.64
(32.28)b
27.11
(31.05)b
33.11
(35.12)b
26.46
(30.94)b
40.65
(39.58)c
24.05
(29.35)b
24.75
(29.83)c
30.44
(33.42)b
27.91
(31.88)b
31.15
(33.88)b
28.21
(32.04)b
25.25
(30.11)b
19.59
(26.27)b
24.44
(29.59)b
22.00
(27.95)b
25.89
(30.31)b
T4
Bottle trap
22.38
(28.07)ab
23.35
(28.68)b
29.71
(32.98)b
22.00
(27.96)ab
25.92
(30.55)ab
23.78
(29.17)b
22.00
(27.97)ab
24.77
(29.80)b
20.77
(27.10)a
23.90
(29.20)a
22.44
(28.22)ab
17.25
(24.53)a
15.96
(23.45)b
21.85
(27.84)ab
15.79
(23.05)b
20.31
(24.89)ab
T5
Can trap
18.89
(25.71)a
19.39
(26.12)ab
28.25
(31.97)b
21.43
(27.57)ab
22.97
(28.61)a
23.69
(29.11)b
21.75
(27.78)ab
22.26
(28.08)ab
20.09
(26.61)a
22.88
(28.53)a
20.75
(26.78)a
16.91
(24.28)a
14.57
(22.29)ab
18.57
(25.48)a
14.86
(22.56)a
17.83
(24.68)ab
T6
Control
28.21
(32.04)b
28.75
(32.41)b
33.12
(35.13)b
27.91
(31.88)b
39.33
(38.80)c
24.77
(29.80)b
28.75
(32.41)c
29.73
(32.98)b
28.34
(32.02)b
30.49
(33.46)b
28.82
(32.33)b
27.11
(31.05)b
18.89
(25.71)b
24.32
(29.51)b
23.35
(28.68)c
26.25
(30.88)c
CD @ 5% 3.58 4.50 3.44 2.30 4.55 1.69 1.08 3.41 2.49 2.38 3.21 1.73 3.03 2.74 2.77 2.90
SE.m ± 0.91 1.10 1.05 0.89 1.05 0.41 0.22 1.00 0.45 0.32 0.99 0.31 1.01 0.91 0.92 0.53
Figures in parentheses are arc sine transformed values.
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37
The moth trapping have rendered an influence over the pest populations and
resulted in reducing the fruit damage. From table 3, it was evident that the variation in
the fruit damage (%) observed among the treatments was corresponding to the
trapping efficacy. In general significantly higher damage was noticed in control plots,
where traps were not installed.
The observations on the per cent fruit damage at first picking showed the lowest
fruit damage (2.81 %) in water trap followed by can trap (7.76 %). The next lowest fruit
damage was observed in bottle trap (8.22 %) followed by sleeve trap (9.33 %) and
delta trap (11.57 %). 12.46 per cent fruit damage was recorded in control. The similar
trend was observed in 2nd, 3rd, 4th, 5th, 7th, 9th, 10th, 11th, 14th, 15th, 16th, 17th, 19th, 22nd,
25th, 27th and 30th pickings.
Fruit damage at 6th picking was significantly lowest in water trap (10.21 %) and
was on par with can trap (11.74 %). The next lowest fruit damage was observed in
bottle trap (13.80 %) followed by delta trap (21.50 %) and sleeve trap (22.33 %)
treatments and these treatments not differ significantly from control plot (22.03 %).
The observation on 8th picking showed the lowest fruit damage of 8.58 per cent
in water trap treatment followed by can trap (15.58 %). The next lowest fruit damage of
16.84 per cent was observed in bottle trap followed by sleeve trap (17.54 %) and
control (19.54 %). The similar trend was observed in 12th 20th 23rd 28th and 29th
pickings.
The fruit damage at 13th picking showed that, significantly lowest fruit damage
was found in water trap (12.53 %) and was on par with can trap (14.50 %). The next
lowest fruit damage of 21.83 per cent was observed in sleeve trap followed by bottle
trap (22.03 %) and control (23.32 %) and in delta trap (23.93 %).
The observation on 18th picking, showed the lowest fruit damage (21.46 %) was
recorded in water trap treatment followed by can trap (28.25 %). The next best
treatment was bottle trap, sleeve trap and delta trap as they recorded 29.71, 30.49 and
33.11 per cent, respectively. The similar trend was observed in 21st 24th and 26th
pickings.
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38
The average lowest fruit damage was recorded in water trap treatment (15.03 %)
followed by can trap (17.83 %). Fruit damage recorded in control (26.25 %) was
significantly highest among treatments.
4.1.4 Yield (kg plot-1)
Yield in kg plot-1 were recorded at regular intervals from different treatments and
are presented in table 4.
The observations on the fruit yield at first picking showed that the highest fruit
yield of 4.25 kg plot-1 in water trap treatment followed by can trap (2.56 kg plot-1). The
next highest fruit yield of 2.38 kg plot-1 was observed in bottle trap followed by delta
trap treatment (1.81 kg plot-1). In control treatment the yield was significantly lowest i.e.
1.79 kg plot-1. The similar trend was observed in 2nd, 4th, 6th, 9th, 10th, 11th, 12th, 13th,
14th, 16th, 17th, 18th, 19th, 21th, 23rd, 24th, 25th, 27th and 29th pickings.
The fruit yield at 3rd picking showed that the significantly highest fruit yield of 4.75
kg plot-1 was found in water trap and was on par with can trap (3.75 kg plot-1). The next
highest fruit yield 3.60 kg was observed in bottle trap followed by sleeve trap (3.55 kg
plot-1), control (3.38 kg plot-1) and delta trap (3.35 kg plot-1). None of the treatments
showed their efficacy over control, except water trap and can trap. The similar trend
was observed in 5th 8th 15th 20th 22nd 26th and 30th pickings.
The observation on 28th picking showed the highest fruit yield of 5.25 kg plot-1
was found in water trap and was on par with can trap (4.38 kg plot-1) and bottle trap
(4.06 kg plot-1). In control lowest yield of 2.25 kg plot-1 was recorded.
The total highest fruit yield per plot was significantly highest in water trap 489 kg
followed by can trap (416 kg plot-1). 364 kg, 319 kg, 278 kg fruit yield per plot were
recorded in bottle trap, sleeve trap and delta trap, respectively, and these treatments
did not show any superiority over control plot (271 kg plot-1).
Considering all pickings, the total yield in terms of kg plot-1 was significantly
highest in water trap treatment (489 kg plot-1) followed by can trap (416 kg plot-1). The
other traps not proved superior over control (271 kg plot-1) where trapping was not
exercised.
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39
Table 4. Influence of moth trapping through different trap models on yield (kg plot-1) due to L. orbonalis monitoring in brinjal crop.
Treatment
Yield (kg plot-1
)
Pickings
1st
2nd
3rd
4th
5th
6th
7th
8th
9th
10th
11th
12th
13th
14th
15th
T1
Water trap 4.25
a 3.25
a 4.75
a 2.23
a 6.30
a 5.85
a 4.91
a 3.22
a 4.01
a 4.27
a 5.25
a 3.23
a 4.42
a 1.72
a 4.83
a
T2
Sleeve trap 1.75
b 1.69
bc 3.55
b 1.49
bc 4.55
b 4.33
ab 4.58
c 1.41
c 1.35
bc 2.86
b 4.32
ba 2.55
ab 4.16
b 1.46
bc 2.93
bc
T3
Delta trap 1.81
b 1.75
b 3.35
b 1.33
c 4.45
b 3.70
b 4.61
c 1.25
c 1.13
c 1.46
c 3.80
c 2.23
b 4.14
b 1.41
c 2.13
c
T4
Bottle trap 2.38
b 1.56
bc 3.60
b 1.49
bc 5.20
ab 4.48
ab 4.65
bc 1.82
bc 2.15
b 3.18
ab 4.36
ba 2.97
a 4.27
ab 1.51
bc 3.81
ab
T5
Can trap 2.56
b 2.50
b 3.75
b 1.89
ab 6.10
a 4.50
ab 4.83
ab 2.40
ab 3.16
a 3.93
ab 4.65
ab 3.11
a 4.34
a 1.65
ab 4.08
ab
T6 Control
1.79b 1.67
b 3.38
b 1.41
c 4.54
b 3.60
b 4.32
c 1.81
c 1.12
c 1.45
c 3.70
c 2.16
b 4.10
b 1.27
c 2.23
c
CD @ 5% 0.60 1.60 0.65 0.40 1.05 0.90 0.16 0.52 0.62 0.75 0.45 0.51 0.12 0.14 0.90
SE.m ± 0.17 0.41 0.11 0.09 0.21 0.25 0.03 0.13 0.19 0.18 0.09 0.10 0.01 0.01 0.16
Contd…
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40
Treatments
Yield (kg plot-1
) Pickings
16th
17th
18th
19th
20th
21st
22nd
23rd
24th
25th
26th
27th
28th
29th
30th
Total
T1 Water trap
2.77a
3.49
a
3.34
a
3.08
a
1.79
a
3.26
a
3.58
a
3.89
a
3.22
a
3.92
a
4.01
a
5.19
a
5.25
a
6.31
a
6.75
a
489
a
T2 Sleeve trap
1.27c
2.72
cd
2.56
b
2.28
bc
1.33
b
2.73
ab
2.67
bc
2.90
c
1.41
c
2.75
b
1.35
bc
2.63
cd
3.00
bc
3.50
cd
3.75
cd
319
b
T3 Delta trap
1.05c
2.39d
1.96
c
2.16
c
1.14
c
2.27
b
2.31
c
2.63
c
1.25
c
2.44
b
1.13
c
1.94
d
2.25
c
2.94
d
3.00
d
278
b
T4 Bottle trap
1.56bc
2.98bc
2.69b
2.51
b
1.48
b
2.86
a
3.06
ab
3.05
bc
1.82
bc
2.88
b
2.15
b
3.41
bc
4.06
ab
4.56
bc
4.50
bc
364
ab
T5 Can trap
2.05b
3.24
ab
3.07
ab
2.95
a
1.67
a
3.12
a
3.19
ab
3.42
ab
2.40
ab
3.15
b
3.16
a
4.10
ab
4.38
ab
5.50
ab
5.25
b
416
ab
T6 Control
1.04c
2.29
d
1.94
c
2.23
c
1.25
c
2.26
b
2.39
c
2.27
c
1.05
c
2.16
b
1.15
c
1.23
d
2.25
c
2.50
d
3.24
d 271
b
CD @ 5% 0.43
0.27
0. 41
0.23
0.13
0.34
0.45
0.31
0.52
0.56
0.62
0.96
1.01
1.10
0.86
70.28
SE.m ± 0.13 0.07 0.09 0.05 0.02 0.09 0.13 0.09 0.10 0.14 0.17 0.28 0.27 0.29 0.24 21.05
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41
4.1.5 Yield (q ha-1)
Yield in q ha-1 were recorded at regular intervals from different treatments and
are presented in Table 5.
The observations on the fruit yield at first picking showed that the highest fruit
yield of 42.5 q ha-1 in water trap treatment followed by can trap (25.6 q ha-1). The next
highest fruit yield of 23.8 q ha-1 was observed in bottle trap followed by delta trap
treatment (18.1 q ha-1). In control treatment the yield was significantly lowest i.e. 17.9 q
ha-1. The similar trend was observed in 2nd, 4th, 6th, 9th, 10th, 11th, 12th, 13th, 14th, 16th,
17th, 18th, 19th, 21th, 23rd, 24th, 25th, 27th and 29th pickings.
The fruit yield at 3rd picking showed that the significantly highest fruit yield of 47.5
q ha-1 was found in water trap and was on par with can trap (37.5 q ha-1). The next
highest fruit yield 36.0 q was observed in bottle trap followed by sleeve trap (35.5 q
ha-1), control (33.8 q ha-1) and delta trap (33.5 q ha-1). None of the treatments showed
their efficacy over control, except water trap and can trap. The similar trend was
observed in 5th 8th 15th 20th 22nd 26th and 30th pickings.
The observation on 28th picking showed the highest fruit yield of 52.5 q ha-1 was
found in water trap and was on par with can trap (43.8 q ha-1) and bottle trap (40.6 q
ha-1). In control lowest yield of 22.5 q ha-1 was recorded.
The total highest fruit yield per plot was significantly highest in water trap 489.0 q
followed by can trap (416.0 q ha-1). 364.0 q, 319.0 q, 278.0 q fruit yield per hector were
recorded in bottle trap, sleeve trap and delta trap, respectively, and these treatments
did not show any superiority over control plot (271.0 q ha-1).
Considering all pickings, the total yield in terms of q ha-1 was significantly
highest in water trap treatment (489.0 q ha-1) followed by can trap (416.0 q ha-1). The
other traps not proved superior over control (271.0 q ha-1) where trapping was not
exercised.
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42
Table 5. Influence of moth trapping through different trap models on yield (q ha-1) due to L. orbonalis monitoring in brinjal crop.
Treatments
Yield (q ha-1
)
Pickings
1st
2nd
3rd
4th
5th
6th
7th
8th
9th
10th
11th
12th
13th
14th
15th
T1
Water trap 42.5
a 32.5
a 47.5
a 22.3
a 63.0
a 58.5
a 49.1
a 32.2
a 40.1
a 42.7
a 52.5
a 32.3
a 44.2
a 17.2
a 48.3
a
T2
Sleeve trap 18.1
b 17.5
b 33.5
b 14.9
c 44.5
b 43.3
ab 45.8
c 14.1
c 13.5
bc 28.6
b 43.2
ab 22.3
ab 41.6
b 14.6
bc 29.3
c
T3
Delta trap 17.5
b 16.9
b 35.5
b 13.3
bc 45.5
b 37.0
b 46.1
c 12.5
c 11.3
c 14.6
c 38.0
c 25.5
b 41.4
b 14.1
c 21.3
bc
T4
Bottle trap 23.8
b 15.6
bc 36.0
b 14.9
bc 52.0
ab 44.8
ab 46.5
bc 18.2
bc 21.5
b 31.8
ab 43.6
ab 29.7
a 42.7
ab 15.1
bc 38.1
ab
T5
Can trap 25.6
b 25.0
b 37.5
b 18.9
ab 61.0
a 45.0
ab 48.3
ab 24.0
ab 31.6
a 39.3
ab 46.5
a 31.1
a 43.4
a 16.5
ab 40.8
ab
T6 Control
17.4b 16.7
b 33.8
b 13.1
c 45.6
b 36.0
b 43.2
c 18.1
c 11.2
c 14.5
c 37.0
c 21.6
b 40.0
b 12.7
c 22.3
c
CD @ 5% 6.0 16.0 6.50 4.00 10.50 9.00 1.60 5.20 6.20 7.50 4.50 5.10 1.20 1.40 9.00
SE.m ± 1.82 4.49 1.81 1.05 3.15 2.25 0.32 1.68 2.01 2.49 1.44 1.70 0.38 0.41 2.81
Contd…
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43
Treatments
Yield (q ha-1) Pickings
16th
17th
18th
19th
20th
21st
22nd
23rd
24th
25th
26th
27th
28th
29th
30th
Total
T1
Water trap 27.7ac 34.9a 33.4a 30.8a 17.9a 32.6a 35.8a 38.9a 32.2a 39.2a 40.1a 51.9a 52.5a 63.1a 67.5a 489.0a
T2
Sleeve trap 12.7c 27.2cd 25.6b 22.8bc 13.3b 27.3ab 26.7bc 29.0c 14.1c 27.5b 13.5bc 26.3cd 30.0bc 35.0cd 37.5cd 319.0b
T3
Delta trap 10.5bc 23.9d 19.6c 21.6c 11.4c 22.7b 23.1c 26.3c 12.5c 24.4b 11.3c 19.4d 22.5c 29.4d 30.0d 278.0b
T4
Bottle trap 15.6b 29.8bc 26.9b 25.1b 14.8b 28.6a 30.6ab 30.5bc 18.2bc 28.8b 21.5b 34.1bc 40.6ab 45.6bc 45.0bc 364.0b
T5
Can trap 20.5b 32.4ab 30.7ab 29.5a 16.7a 31.2a 31.9ab 34.2ab 24.0ab 31.5b 31.6a 41.0ab 43.8ab 55.0ab 52.5b 416.0b
T6 Control
10.4c 22.9d 19.4c 22.3c 12.5c 22.6b 23.9c 22.7c 10.5c 21.6b 11.5c 12.3d 22.5c 25.0d 32.4d 271.0b
CD @ 5% 4.30 2.70 4.10 2.30 1.30 3.40 4.50 3.10 5.20 5.60 6.20 9.60 10.1 11.0 8.60 702.8
SE.m ± 1.31 0.80 1.17 0.57 0.23 1.03 1.30 0.98 1.63 1.67 2.01 3.10 3.07 3.27 2.67 221.29
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4.1.6 Influence of different types of pheromone trap models on over all mean of
shoot damage, fruit damage and total yield.
Significantly lowest seasonal mean shoot damage (5.48 %) and fruit damage
(15.03 %) were recorded in water trap treatment. The next lowest shoot damage (6.56
%) and fruit damage (17.83 %) were recorded in can trap which are on par with sleeve
trap, bottle trap, delta trap and in control. Correspondingly, the significant highest total
yield both in kg plot-1 and q ha-1 were recorded in water trap followed by can trap which
are on par with sleeve trap, bottle trap, delta trap and in control (Table 6).
4.1.7 Correlation between shoot infestation, fruit infestation and yield with moth
catches
The shoot infestation showed significantly negative correlation with moth catch (r
= -0.992**). The fruit infestation showed significantly negative correlation with moth
catch (r = -0.943*). The yield (kg plot-1) showed that significantly positive correlation
with moth catch (r = 0.901*) (Table 7).
4.1.8 Total moth catches in different trapping devices.
There were totally 941 moths caught trapped from all types of trap designs. Among
those, 365 were caught in water traps, 245 were caught in locally prepared can traps.
129 were caught in bottle trap. 105 were caught in sleeve traps and 97 were caught in
delta traps (Table 8).
4.2 Evaluation of different types of colour sticky traps for monitoring of L. orbonalis
During the investigation none of the moths were attracted to colour sticky traps.
However there was stray attraction of moths, in which a negligible population (0.33
moths/trap) were caught in violet trap at 15, 40 days after installation of traps (DAIT),
similarly in red trap at 10 DAIT, in orange trap at 30 DAIT, in green trap at 40 DAIT,
0.67 moths were caught in yellow trap at 40 DAIT. On an average, violet trap caught
0.02 moths, yellow and green trap caught 0.06 moths and orange and red trap caught
0.01 moths (Table 9).
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45
Table 6. Influence of different types of pheromone trap models on shoot damage, fruit damage and total yield.
Treatment Mean shoot damage (%)
Mean fruit damage (%)
Total yield
(kg plot-1)
Total yield
(q ha-1)
Water trap 5.48
(12.97)a
15.03
(22.40)a 489a 489.0a
Sleeve trap 8.24
(15.44)b
23.36
(28.59)b 319b 319.0b
Delta trap 9.16
(17.38)b
25.89
(30.31)b 278b 278.0b
Bottle trap 7.22a
(15.01)b
20.31
(24.89)ab 364ab 364.0b
Can trap 6.56
(14.29)ab
17.83
(24.68)ab 416ab 416.0b
Control 9.24
(16.32)b
26.25
(30.88)b 271b 271.0b
CD @ 5% 1.65 2.90 70.28 702.8
SE.m ± 0.42 0.53 21.05 221.29
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46
Table 7: Correlation between shoot infestation and fruit infestation and yield with moth catches.
Parameters Moth Shoot damage Fruit damage Yield(kg plot-1)
Moth 1 -0.992** -0.943* 0.901*
Shoot damage - 1 0.920* -0.862*
Fruit damage - - 1 -0.862*
Yield
(kg plot-1) - - - 1
**. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).
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47
Table 8: Total moth catches in different trapping devices.
SI No. Traps Total moths caught
1 Water trap 365
2 Sleeve trap 105
3 Delta trap 97
4 Bottle trap 129
5 Can trap 245
Total- 941 moths.
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48
Table 9. Evaluation of different types of color sticky trap for L. orbonalis monitoring in brinjal crop
Treatment
Number of moths caught/trap (five days)
5
DAIT
10
DAIT
15
DAIT
20
DAIT
25
DAIT
30
DAIT
35
DAIT
40
DAIT
45
DAIT
50
DAIT
55
DAIT
60
DAIT
65
DAIT
70
DAIT
T1- Voilet 0.00
(1.00)
0.00
(1.00)
0.33
(1.14)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.33
(1.14)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T2- Indigo 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T3- Blue 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T4- Green 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
1.33
(1.41)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.33
(1.14)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T5- Yellow 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
1.00
(1.33)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.67
(1.24)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T6- Orange 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.33
(1.14)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T7-Red 0.00
(1.00)
0.33
(1.14)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
CD @ 5% NS NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 0.76 0.78 0.14 0.87 0.14 0.83 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76
DAIT- Days After Installation of Traps; Figures within the Parentheses are √x+1 transformed values
Contd…
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49
Treatment
Number of moths caught/trap (five days)
75
DAIT
80
DAIT
85
DAIT
90
DAIT
95
DAIT
100 DAIT
105 DAIT
110 DAIT
115 DAIT
120 DAIT
125 DAIT
130 DAIT
135 DAIT
140 DAIT
Mean
T1- Voilet 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.02
(1.01)
T2- Indigo 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T3- Blue 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
T4- Green 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.06
(1.02)
T5- Yellow 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.06
(1.02)
T6- Orange 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.01
(1.01)
T7-Red 0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.00
(1.00)
0.01
(0.92)
CD @ 5% NS NS NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.76 0.91
DAIT- Days After Installation of Traps; Figures within the Parentheses are √x+1 transformed values
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50
Plate 6 Shoot damage by Leaucinodes orbonalis in brinjal plants.
Plate 7 Brinjal fruit damage and larva of Leucinodes orbonalis
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51
The shoot damage ranged from 6.72 (75 DAIT) to 35.42 per cent. The highest
shoot infestation (35.42 %) was observed during 15 days after installation of trap, while
the lowest (6.72 %) shoot damage was observed during 75 days after installation of
traps. The data was non-significant among the treatments (Table 10).
The fruit damage ranged from 5.73 to 54.41 per cent. The highest fruit
infestation (54.41 %) was observed during 12th picking, while the lowest (5.73 %) fruit
damage was observed during 5th picking. Similar as shoot damage (%), the data was
non-significant among the treatments (Table 11).
The fruit yield (kg plot-1) ranged from 0.75 to 6.0 kg. The highest yield (6.0 kg)
was observed during 4th picking, while the lowest (0.75 kg) fruit yield was observed
during 9th picking. The data was non-significant among the treatments (Table 12).
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Table 10. Performance of different types of color sticky traps on shoot damage (%) due to L. orbonalis monitoring in brinjal crop
Treatment Shoot damage (%)
5 DAIT
10 DAIT
15 DAIT
20 DAIT
25 DAIT
30 DAIT
35 DAIT
40 DAIT
45 DAIT
50 DAIT
55 DAIT
60 DAIT
65 DAIT
70 DAIT
T1- Voilet 10.63
(18.23) 21.39
(27.17) 24.31
(28.86) 17.42
(24.45) 10.61
(18.52) 18.25
(25.27) 9.70
(18.12) 13.41
(21.19) 16.20
(23.72) 13.03
(21.15) 13.23
(21.27) 10.86
(19.05) 13.05
(21.17) 11.98
(20.14)
T2- Indigo 17.75
(24.74) 17.38
(23.83) 29.89
(33.00) 20.56
(26.84) 11.84
(19.25) 12.96
(20.80) 9.66
(18.11) 15.25
(22.68) 14.25
(22.08) 14.26
(22.17) 16.38
(23.81) 14.42
(22.30) 13.98
(21.90) 15.80
(23.42)
T3- Blue 20.09
(26.50) 25.85
(29.70) 31.18
(33.84) 13.52
(20.90) 8.84
(17.11) 8.75
(16.98) 12.98
(20.76) 15.44
(22.95) 13.72
(21.69) 13.56
(21.59) 20.89
(27.11) 11.89
(20.11) 14.11
(22.06) 13.71
(21.10)
T4- Green 19.85
(26.35) 24.47
(28.65) 18.78
(25.38) 8.27
(16.32) 14.45
(22.34) 11.46
(19.75) 11.44
(19.76) 13.27
(21.11) 13.65
(21.66) 15.33
(23.03) 14.32
(22.11) 13.29
(21.37) 13.36
(21.43) 16.05
(23.43)
T5- Yellow 26.10
(30.42) 23.58
(28.41) 21.80
(27.68) 19.29
(25.94) 15.01
(22.36) 13.17
(21.05) 12.08
(20.24) 11.70
(20.00) 14.05
(21.94) 15.65
(23.15) 15.16
(22.91) 14.99
(22.74) 26.54
(30.13) 9.21
(17.47)
T6- Orange 25.56
(30.04) 24.44
(29.47) 35.43
(36.49) 23.91
(29.08) 15.59
(22.76) 18.78
(25.03) 10.99
(19.35) 13.54
(21.50) 14.82
(22.63) 16.05
(23.58) 13.99
(21.92) 11.19
(19.46) 10.85
(19.01) 10.89
(19.06)
T7-Red 17.71
(23.65) 19.07
(23.30) 29.35
(32.45) 14.77
(22.55) 13.79
(21.61) 15.02
(22.72) 12.10
(20.19) 14.76
(22.57) 13.10
(21.22) 15.66
(23.10) 11.92
(19.82) 7.08
(14.61) 14.57
(21.63) 11.78
(19.74)
T8-Control 23.58
(28.41) 13.52
(20.90) 17.75
(24.74) 19.07
(23.30) 12.98
(20.76) 13.27
(21.11) 14.26
(22.17) 14.42
(22.30) 13.52
(20.90) 25.85
(29.70) 20.09
(26.50) 14.11
(22.06) 31.18
(33.84) 21.39
(27.17)
CD @ 5% NS NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 20.08 21.78 24.06 18.35 16.05 16.77 14.99 16.74 16.94 17.28 17.44 15.36 17.56 15.98
DAIT- Days After Installation of Traps; Figures in parentheses are arc sine transformed values.
Contd…
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Treatment
Shoot damage (%)
75
DAIT
80
DAIT
85
DAIT
90
DAIT
95
DAIT
100 DAIT
105 DAIT
110 DAIT
115
DAIT
120 DAIT
125 DAIT
130 DAIT
135 DAIT
140 DAIT
Mean
T1- Voilet 11.42
(19.70)
13.25
(21.24)
12.01
(20.23)
14.18
(22.07)
11.46
(19.77)
12.78
(20.94)
17.59
(24.59)
12.47
(20.64)
12.06
(20.29)
7.88
(16.14)
8.39
(16.45)
11.71
(19.99)
12.09
(20.23)
10.47
(18.80)
13.28
(21.05)
T2- Indigo 13.34
(21.09)
9.54
(17.86)
10.60
(18.99)
10.35
(18.56)
10.23
(18.57)
15.94
(23.50)
11.69
(19.79)
21.77
(27.55)
14.20
(22.13)
9.33
(17.62)
12.04
(19.70)
6.90
(15.18)
12.15
(20.39)
14.15
(22.07)
14.16
(21.71)
T3- Blue 10.89
(19.22)
12.13
(20.35)
12.16
(20.33)
10.08
(18.39)
12.67
(20.84)
14.78
(22.49)
10.73
(18.91)
16.32
(23.29)
21.25
(27.21)
7.29
(15.64)
13.13
(20.96)
9.44
(17.80)
12.54
(20.30)
17.02
(24.09)
14.46
(21.87)
T4- Green 6.72
(14.94)
13.02
(20.95)
11.92
(20.15)
13.27
(21.34)
10.11
(18.54)
18.97
(25.81)
18.02
(24.65)
12.31
(20.36)
13.94
(21.92)
15.95
(22.06)
7.35
(15.73)
13.39
(21.21)
19.59
(26.15)
15.90
(23.21)
14.23
(21.78)
T5- Yellow 12.07
(20.17)
13.56
(21.55)
11.84
(20.02)
16.03
(22.93)
8.35
(16.66)
14.65
(22.39)
15.44
(23.12)
11.22
(19.39)
15.69
(22.87)
15.05
(22.14)
12.35
(20.08)
12.67
(20.48)
15.37
(22.61)
19.79
(23.97)
15.44
(22.60)
T6- Orange 11.05
(19.40)
11.58
(19.89)
19.07
(25.13)
12.09
(20.19)
15.60
(22.86)
13.34
(21.32)
17.37
(24.07)
12.24
(20.46)
13.02
(21.03)
10.61
(18.83)
12.68
(20.67)
8.12
(16.51)
23.56
(28.95)
12.81
(20.79)
15.68
(22.84)
T7-Red 10.11
(18.24)
12.13
(20.26)
15.70
(22.84)
15.47
(23.13)
11.75
(20.00)
14.78
(22.49)
10.96
(19.28)
14.20
(22.11)
13.80
(21.80)
17.18
(23.75)
6.80
(15.07)
11.29
(19.40)
11.22
(19.54)
12.67
(20.72)
13.88
(21.35)
T8-Control 11.84
(20.02)
10.23
(18.57)
21.77
(27.55)
21.77
(27.55)
13.13
(20.96)
10.35
(18.56)
9.44
(17.80)
19.59
(26.15)
12.16
(20.33)
10.35
(18.56)
12.04
(19.70)
11.84
(20.02)
13.27
(21.34)
12.13
(20.35)
15.89
(22.90)
CD @ 5% NS NS NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 14.62 15.59 16.37 16.17 15.08 17.41 17.11 16.97 17.29 15.41 14.32 14.40 17.43 17.36 16.96
DAIT- Days After Installation of Traps; Figures in parentheses are arc sine transformed
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Table 11. Performance of different types of color sticky traps on fruit damage (%) due to L. orbonalis monitoring in brinjal crop
Treatment
Fruit damage (%)
1st
picking
2nd picking
3rd picking
4th picking
5th picking
6th picking
7th picking
8th picking
9th picking
10th picking
11th picking
12th picking
13th picking
T1- Voilet 35.73
(36.61)
30.36
(33.33)
25.41
(30.15)
22.46
(28.24)
30.06
(33.22)
25.91
(30.42)
28.31
(31.84)
25.68
(29.95)
28.28
(31.99)
27.30
(31.15)
26.23
(30.80)
38.81
(38.52)
25.91
(30.42)
T2- Indigo 49.55
(44.74)
23.01
(28.40)
31.48
(33.96)
26.11
(30.54)
25.99
(30.62)
42.06
(40.42)
32.67
(34.56)
29.01
(32.58)
23.35
(28.83)
19.61
(26.28)
48.06
(43.90)
33.24
(35.02)
42.06
(40.42)
T3- Blue 36.31
(37.04)
23.11
(28.24)
29.16
(32.67)
26.91
(30.24)
17.77
(24.55)
45.07
(42.13)
32.89
(34.94)
30.26
(33.34)
32.08
(34.46)
19.39
(26.05)
29.72
(32.99)
43.16
(41.04)
45.07
(42.13)
T4- Green 36.50
(37.00)
35.42
(36.24)
21.81
(27.75)
28.28
(32.12)
31.72
(32.61)
47.59
(43.62)
48.68
(44.24)
35.49
(36.57)
33.13
(35.12)
19.77
(26.13)
37.43
(37.67)
54.41
(47.54)
47.59
(43.62)
T5- Yellow 43.12
(41.03)
30.77
(33.68)
22.18
(28.02)
36.57
(37.18)
19.96
(21.40)
37.20
(37.55)
20.24
(26.24)
33.52
(35.09)
27.43
(31.48)
22.52
(28.24)
38.93
(38.55)
46.96
(43.25)
37.20
(37.55)
T6- Orange 25.74
(30.31)
32.96
(34.96)
25.86
(30.03)
38.33
(37.93)
5.73
(13.33)
28.00
(31.79)
38.62
(38.42)
30.66
(33.56)
23.07
(28.32)
22.69
(28.29)
29.27
(32.74)
43.11
(41.03)
28.00
(31.79)
T7-Red 36.57
(37.18)
42.81
(40.86)
24.84
(29.46)
29.91
(33.06)
15.26
(18.97)
17.46
(24.55)
20.65
(26.70)
32.42
(34.20)
41.59
(40.14)
27.92
(31.73)
30.14
(33.25)
22.95
(28.51)
17.46
(24.55)
T8-Control 28.28
(32.12)
45.07
(42.13)
35.49
(36.57)
33.13
(35.12)
19.61
(26.28)
29.16
(32.67)
19.39
(26.05)
29.72
(32.99)
33.24
(35.02)
26.91
(30.24)
29.16
(32.67)
45.07
(42.13)
37.43
(37.67)
CD @ 5% NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 28.93 25.98 23.40 25.48 20.69 27.45 26.09 25.99 25.26 21.79 27.39 30.13 27.45
Figures in parentheses are arc sine transformed values.
Contd…
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Treatment
Fruit damage (%) 14th
picking 15th picking
16th picking
17th picking
18 th picking
19 th picking
20 th picking
21st picking
22nd picking
23rd picking
24th picking
25th picking
26 th picking
Mean
T1- Voilet 25.00
(29.85)
26.10
(30.61)
22.21
(36.61)
26.21
(30.68)
24.55
(29.55)
23.55
(28.83)
23.55
(28.83)
28.21
(31.94)
22.21
(27.78)
29.21
(32.55)
26.26
(30.44)
31.21
(33.73)
21.55
(27.22)
27.89
(32.69)
T2- Indigo 30.13
(33.16)
31.48
(33.96)
27.40
(44.74)
32.40
(34.51)
30.40
(33.31)
33.47
(35.12)
29.73
(32.89)
32.40
(34.51)
33.40
(35.10)
33.47
(35.12)
36.73
(37.02)
29.47
(32.75)
23.47
(28.59)
32.94
(36.29)
T3- Blue 24.10
(29.18)
35.79
(36.66)
33.62
(37.04)
29.57
(32.92)
29.16
(32.67)
29.57
(32.92)
34.13
(35.70)
30.13
(33.29)
24.46
(29.18)
33.46
(35.31)
30.57
(33.53)
37.79
(37.81)
29.13
(32.65)
32.38
(35.50)
T4- Green 21.81
(27.75)
17.84
(24.93)
21.81
(37.00)
23.03
(28.58)
19.84
(26.42)
23.03
(28.58)
22.51
(28.19)
23.51
(28.82)
20.17
(26.66)
25.09
(30.03)
21.81
(27.75)
24.09
(29.37)
16.78
(22.72)
30.56
(34.48)
T5- Yellow 19.57
(26.22)
30.72
(33.10)
30.98
(41.03)
22.65
(28.37)
21.39
(27.50)
22.65
(28.37)
23.05
(28.58)
23.99
(29.21)
23.05
(28.58)
22.18
(28.02)
22.65
(28.37)
22.99
(28.56)
25.98
(30.62)
29.37
(33.55)
T6- Orange
25.07
(29.36)
25.63
(29.87)
26.93
(30.31)
26.49
(30.53)
26.96
(30.78)
25.86
(30.03)
27.96
(31.43)
32.30
(34.05)
28.30
(31.64)
24.63
(29.15)
29.15
(32.45)
24.93
(29.49)
23.63
(28.37)
29.09
(33.07)
T7-Red 24.84
(29.46)
24.34
(29.02)
26.23
(37.18)
25.34
(29.89)
24.45
(29.22)
20.56
(26.59)
26.45
(30.44)
28.12
(31.42)
26.12
(30.24)
24.84
(29.46)
26.12
(30.24)
25.01
(29.61)
27.56
(31.10)
27.46
(32.20)
T8-ontrol 21.81
(37.00)
34.13
(35.70)
23.51
(28.82)
20.17
(26.66)
31.48
(33.96)
33.47
(35.12)
30.57
(33.53)
22.18
(28.02)
29.15
(32.45)
31.21
(33.73)
30.40
(33.31)
35.79
(36.66)
26.21
(30.68)
31.04
(34.96)
CD @ 5% NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 22.68 24.23 28.93 23.75 23.10 23.24 23.88 24.70 23.21 24.26 24.32 24.45 22.50 26.31
Figures in parentheses are arc sine transformed values.
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56
Table 12. Performance of different types of color sticky traps on yield (kg plot-1) due to L. orbonalis monitoring in brinjal crop
Treatments Yield (kg plot-1)
1st picking
2nd picking
3rd picking
4th picking
5th picking
6th picking
7th picking
8th picking
9th picking
10th picking
11th picking
12th picking
13th picking
T1- Voilet
2.17 2.00 4.33 2.17 1.67 1.67 1.83 2.17 3.33 2.00 1.50 2.83 1.67
T2- Indigo 1.67 1.33 3.33 2.33 1.50
0.50
1.00
2.33
2.00
1.83
0.83
3.33
2.33
T3- Blue 2.00 3.17 2.00 1.17 1.17
1.67
1.67
1.33
0.75
1.00
2.83
1.17
1.67
T4- Green 1.83 3.50 3.00 2.83 0.83
2.33
2.50
3.00
2.33
2.67
2.83
1.83
0.50
T5- Yellow 5.17 4.00 3.67 6.00
2.50
2.00
2.67
5.67
2.00
2.17
3.83
5.17
2.00
T6- Orange 3.17 1.17 2.33 1.67 0.83
3.00
2.67
1.50
1.50
1.00
1.00
2.50
3.00
T7-Red 1.50 0.83
1.17 2.17 0.83
1.83
2.17
2.00
1.50
2.17
0.83
2.17
1.83
T8-Control 3.50 1.83 1.33 1.67 1.50
2.83
2.33
3.33
2.00
3.17
5.16
2.17
4.00
CD @ 5%
NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 4.19 4.19 5.38 4.43 2.32
3.40
3.57
4.28
3.49
3.39
3.41
4.41 3.40
Contd...
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57
Treatment
Yield (kg plot-1)
14th picking
15th picking
16th picking
17th picking
18th picking
19th picking
20th picking
21st picking
22nd picking
23rd picking
24th picking
25th picking
26th picking
Total
T1- Voilet
3.50 2.17 4.67 2.50 2.00 2.00 1.83 1.67 3.00 3.00 1.50 3.17 2.00 188
T2- Indigo 1.33 1.17 3.33 2.33 2.17 1.33 1.67 2.50 1.50 2.50 1.33 3.33 2.00 153
T3- Blue 2.00 3.50 2.00 1.50 1.17 1.33 2.33 2.33 1.17 1.00 2.83 1.17 1.67 138
T4- Green 1.83 3.50 3.67 2.17 0.83 2.00 1.50 2.00 2.83 2.33 2.83 1.50 1.17 175
T5- Yellow 4.50 3.67 4.00 4.00 1.50 2.00 2.67 5.67 2.17 2.50 3.83 4.50 2.00 270
T6- Orange 2.83 0.83 2.00 1.67 1.17 3.00 3.00 1.50 1.33 1.33 1.33 2.50 2.67 151
T7-Red 1.50 1.17 1.50 3.17 1.17 1.83 2.50 2.67 1.50 1.83 0.83 2.83 1.83 136
T8-Control 2.10 2.16 2.66 2.21 1.25 1.72 1.89 2.14 1.77 1.87 1.78 2.27 1.66 181
CD @ 5%
NS NS NS NS NS NS NS NS NS NS NS NS NS NS
SE.m ± 4.06 4.18 5.13 4.26 2.42 3.33 3.66 4.14 3.41 3.61 3.43 4.38 3.21 297.2
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5. DISCUSSION
With the increasing realization of the importance of sustainable agriculture, the
concept of IPM is gaining a strong foothold with the chemicals being pushed to the
background. In the recent past, entomologists and farmers have identified IPM
methods that are ecologically non-disrupting and stable. Insect sex pheromones have
been recognized as one of the important components for imparting sustainability to
agricultural ecosystems through improved IPM practices (Jayaraj et al., 1995).
In India, L. orbonalis and many other major lepidopteran insect sex
pheromones are widely recommended in a variety of cropping systems. The insect
sex pheromones were considered efficient in the eighties and the effectiveness of the
pheromone trap catches depend on trap designs and colour.
Hence, the present investigation was aimed at evaluation of trap type and colour
sticky trap for understanding the effect on trap catches of BSFB, L. orbonalis.
The results of the present investigation on evaluation of sex pheromone and
sticky colour traps for monitoring of shoot and fruit borer (Leucinodes orbonalis
Gueene.) in brinjal are discussed in this chapter.
5.1 Evaluation of different types of pheromone trap models for monitoring L.
orbonalis
5.1.1 Moth catch efficacy.
The different types of pheromone traps viz., sleeve trap, water trap, delta trap,
can trap and bottle trap were evaluated for their efficiency in trapping the adult male
moths of brinjal shoot and fruit borer.
Installation of pheromone traps for brinjal fruit and shoot borer has revealed
influence of trapping device. Thus the number of moths trapped varied significantly
among treatments. Since the lure source and changing frequency was kept uniform,
difference if any among traps in terms of moths caught is exclusively the impact of
trapping device structure. Preference of moths to certain types of traps is a function
of the behaviour of that species (Alam et al., 2003).
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The brinjal shoot and fruit borer moth catches started at five days after
installation of trap (25th July) and attained peak 32 moths in water trap (Table 1), 15
moths in can trap, 9 moths in bottle trap, 8 moths in sleeve trap, 7 moths in delta trap
at 20 days after installation of trap (10th August). Minimum moth catches was
observed in water trap (7 moths), can trap (2 moths), bottle trap (5 moths), sleeve
trap (3 moths) and no moth trapped in delta trap at 35 days after installation of trap
(25th August).
The other trap with considerable effective was locally made can trap with 2.03
mean moths/trap catches followed by bottle trap with 1.06 mean moths/trap.
During the investigation, water trap was found to be excellent in trapping the
moths compared to other traps (Fig. 1). This may be due to the open space in water
trap where the moths come and hit the sides of the trap and fall into the water
containing insecticides. In case of water trap, the chance of escape of moth was very
less unlike other traps. The present findings are in line with the reports of Rajneesh
(2006) and Andagopal et al. (2011) who found the water traps as the best among the
different traps that they used for L. orbonalis moth catch.
The windows provided on side walls of can trap and bottle trap increased the
trapping efficiency, however, the results were next best to water trap. In case of can
and bottle traps, the chance of escape of moth is very less compared to the delta trap
(without window cut). The present finding is in accordance with Cork et al. (2005a),
who reported that the locally produced water and funnel traps were as effective as
water traps, although, windows cut in the side panels of delta trap significantly
increased trap catch from 0.4 to 0.23 moths per trap per night.
The trap design that would attract more numbers of insects will vary from one
location to the other.
There was no significant difference between traps at 105, 110, 115, 120, 135,
140, 145 and at 150th days after installation of trap (table 1) due to the fluctuation in
adult moth activity. The present findings are in conformity with Anju shukla and Khatri
(2010). They reported that the adult population of brinjal shoot and fruit borer
fluctuated to a great extent not only from year to year but also in different months.
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Adult population increased considerably in October and November and decreased in
subsequent weeks in December. Similarly, Ghosh and Senapati (2009) reported that
the pest was less active during winter particularly in December–January.
There were totally 941 moths trapped from all types of traps. Among those,
38.79 % moths (365) were caught in water traps, 26.04 % moths (245) were caught
in locally prepared can traps, 13.71 % moths (129) were caught in bottle trap, 11.16
% moths (105) were caught in sleeve traps and 10.31 % moths (97) were caught in
delta traps (Fig. 5).
5.1.2 % Shoot damage
During the investigation, the shoot damage ranged from 1.38 to 11.63 per cent.
The highest shoot infestation (11.63 %) was observed during 80 days after
installation of trap (41st MSW, October first week), while the lowest (1.38 %) shoot
damage was observed during 5 days after installation of trap (30th MSW, July fourth
week). On an average lowest shoot damage was recorded in water trap followed by
can trap over control. These results are in agreement with Ghananand et al. (2009)
who observed that the damage of brinjal shoot and fruit borer on shoots was started
during 34th SW and reached its peak during 43th SW (33 % shoot damage) during first
year and 40th SW (31.6 % shoot damage) during second year.
The lowest shoot and fruit damage was found in water trap over control. The
can trap was next in the row (Fig. 2). This was due to more number of moths trapped
in water trap and can trap which checks the egg laying activity in the respective
treatments along with de-topping of infested shoots and application of chemicals
(Coragen). The present findings are in conformity with Chakraborthi (2001) who
reported that, the integrated approach including pheromones in the management of
brinjal shoot and fruit borer was found highly effective showing minimum shoot and
fruit infestation. Anonymous, 2013a, reported that trapping of adult moths should be
combined with removal and destruction of infested fruits and shoots (preferably by
deep burial 2m. below soil surface or burning) once every week, destruction of
infested shoots and fruits kills BFSB larvae and prevents their pupation and further
development into adults (and subsequent increase in adult population) and reduces
the shoot and fruit infestation. Alam et al. (2003) also stated that removal of damaged
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shoots and trapping of adult male moths in pheromone traps resulted in a significant
reduction in further development into adults (and subsequent increase in adult
population) and reduces the shoot and fruit infestation. The fruit damage by BFSB
was significantly reduced in pheromone-treated and sanitation plots than in check
fields.
5.1.3 Fruit damage and Yield
During the investigation, the fruit damage ranged from 2.81 to 39.33 per cent.
The highest fruit infestation (39.33 %) was observed during 20th picking, while the
lowest (2.81 %) fruit damage was observed during 1st picking. Lowest fruit damage
was recorded in water trap followed by can trap over control (Fig. 3).
The yield (kg plot-1) ranged from 1.27 to 6.75 kg. The highest yield (6.75 kg)
was observed during 30th picking, while the lowest (1.27 kg) yield was observed
during 14th picking. On an average highest yield was recorded in water trap followed
by can trap over control (Fig 4). The yield (q ha-1) ranged from 12.7 to 67.5 q. The
highest yield (67.5 q) was observed during 30th picking, while the lowest (12.7 q) yield
was observed during 14th picking. The higher yield obtained in water trap and was
due to reduced pest incidence. The present findings are in agreement with
Chakraborthi (2001) who reported that the integrated approach including phermones
in the management of brinjal shoot and fruit borer was found highly effective showing
minimum shoot and fruit infestation and recorded higher yield (29.4 t/ha) nearly the
potential yield (3.0 t/ha).
Rahman et al. (2009) reported that spraying of chemical at 2 days interval,
mechanical control and using pheromone trap performed the best in all respects
ensuring the lowest shoot (6.27%) and fruit (3.19 %) infestation, the highest reduction
of shoot (79.65%) and fruit (89.03%) infestation compared to control. As a result, the
maximum fruit yield (32.71 tons/ha) was produced in T1, which contributed the
highest yield of healthy fruits (30.42 t ha-1). The sex pheromone confused the male
adult for mating and thus preventing fertilized egg production vis-à-vis reduces larval
and adult population build–up. These treatments significantly reduced the BSFB
population and its infestation level, which ultimately increased the yield of brinjal.
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Alam et al. (2003), who reported that, the marketable fruit yield was greater in
pheromone-treated plots than in check plots. Use of sanitation may have contributed
to the reduction in pest damage in pheromone-installed plots. However the
experiment was done in the open field in a predominantly eggplant growing region,
where migration of pest adults from elsewhere into experimental areas could not be
prevented. As a result, as observed elsewhere with barrier net studies, contribution of
sanitation-only treatment in reducing pest damage was expected to be minimal.
The correlation matrix between shoot damage, fruit damage, yield (kg ha-1) and
moth catches showed that the shoot damage was found to be significantly negatively
correlated with moth catches (r = -0.992**). Fruit damage was found to be significantly
negatively correlated with moth catches (r = -0.943*). The yield (kg plot-1) showed that
significantly positive correlation with moth catch (r = 0.901*). This was due to more
number of moths caught in traps which reduced the egg laying activity on shoots and
fruits ultimately reducing the shoot and fruit infestation leading to less damage and
more yield. The present findings are in conformity with the findings of Alam et al.
(2003) who reported that the fruit damage by BFSB was significantly reduced in
pheromone-treated and sanitation plots than in check fields.
5.2 Evaluation of different types of colour sticky traps for monitoring of L.
orbonalis
None of the colour sticky traps found to attract L. orbonalis moths at any given
time of the study despite due care was taken for installation and maintenance. Thus
the present study reveals no significance of colour traps with respect to Leucinodes
orbonalis in brinjal. The present findings are in conformity with the findings of Lidia et
al., (2009) who reported that the research was conducted on horse chestnut leaf
miner, Cameraria ohridella Deschka & Dimic (Lepidoptera: Gracillariidae), an invasive
pest, to know efficacy of different traps in monitoring this pest. No trap colour
preference by male moths was found in tests of white, blue and green barrier traps.
Bruce (1992) who reported that the among nine different colours of sticky traps
examined for their attractiveness of adult spotted Lentiform leafminer, Phyllonorcter
blancardella (F) (Lepidoptera: Gracillariidae) were not actively attracted to the traps
and that no one colour of trap would be preferable to any other colour for the purpose
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of trapping P. blallcardella in orchards among nine different colours. The effect of
colour on the catches did not differ significantly (Kocikova et al., 2012). There is no
significant difference in male capture of the tomato leafminer, Tuta absoluta
according to trap colour (Mohamed Braham, 2014). Astray attraction was because of
moths attraction were change from month to month, season to season and year to
year.
Despite that shoot and fruit damage was less with better yield due to better
pest management practices taken up during the study period.
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6. SUMMARY AND CONCLUSIONS
Investigations on evaluation of sex pheromone and sticky colour traps
for monitoring of shoot and fruit borer (Leucinodes orbonalis Gueene.) in
brinjal were carried out during 2013-14 at Jumanal and Hittanalli villages
(Vijayapur Tq and District) under irrigated condition and the results are
summarized here under.
Installation of pheromone traps for brinjal fruit and shoot borer has
revealed influence of trapping device. Thus the number of moths trapped
varied significantly among treatments. Since the lure source and changing
frequency was kept uniform difference if any among traps in turns of moths
caught is exclusively the impact of trapping device structure. Preference of
moths to certain types of traps is a function of the behavior of that species.
Among the different pheromone traps evaluated for monitoring of
BSFB, water trap proved significantly superior over sleeve trap, delta trap, can
trap and bottle trap in recording more number of moths caught and less shoot
and fruit damage per cent with higher yield. It was found that water trap is
highly efficient in catching the brinjal shoot borer moth L. orbonalis compared
to other traps. However it was on par with can trap in most of trap catches,
shoot damage, fruit damage and yield.
During the investigation, water trap found excellent in trapping the
moths compared to other traps. The water trap was found effective compare
to other trap may be due to the open space in water trap where the moths
come and hit the sides of the trap and fall into the water containing
insecticides. In case of water trap, the chance of escape of moth was very
less unlike other traps.
The correlation matrix between shoot damage, fruit damage, yield (kg
ha-1) and moth catches showed that the shoot damage was found to be
significantly negatively correlated with moth catches (r= -0.992**). Fruit
damage was found to be significantly negatively correlated with moth catches
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(r= -0.943*). The yield (kg plot-1) showed that significantly positive correlation
with moth catch (r = 0.901*).
Among the seven different sticky colour traps viz., Violet, Indigo, Blue,
Green, Yellow, Orange and Red evaluated for monitoring of BSFB, no one of
the colour traps caught BSFB moths except some stray attraction and there is
no significant difference between shoot damage percent, fruit damage percent
and yield. It was found that no one colour had significant influence in catching
the brinjal shoot borer moth L. orbonalis for monitoring purpose. Thus the
present study reveals no significance of colour traps with respect to
Leucinodes orbonalis in brinjal.
Future line of work
1. Optimization of water traps for the mass trapping of L. orbonalis.
2. Water trap height standardization for the mass trapping of L. orbonalis.
3. Optimization of locally prepared traps for the mass trapping of L.
orbonalis.
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82
Appendix I: Meterological data of Regional Agricultural Research Station, Vijayapur (Karnataka: India), 2014.
Month Rainfall
(mm)
Temperature(0C) Relative Humidity (%)
Maximum Minimum Maximum Minimum
January 0.0 29.7 15.2 79 37
February 6.4 31.7 16.1 66 33
March 27.4 34.5 20.1 61 29
April 27.0 38.0 22.7 56 24
May 68.6 37.6 22.9 75 31
June 54.4 35.0 22.7 81 43
July 151.6 30.1 21.6 88 64
August 245.7 30.2 21.3 89 63
September 59.4 30.7 21.1 88 56
October 65.3 31.9 19.6 84 48
November 15.0 30.4 15.6 85 42
December 16.0 29.0 13.0 83 41
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EVALUATION OF SEX PHEROMONE AND STICKY COLOUR TRAPS FOR MONITORING OF SHOOT AND FRUIT BORER (Leucinodes orbonalis Gueene.)
IN BRINJAL
ARAVINDA M. 2015 Dr. S. S. UDIKERI Major Advisor
ABSTRACT
Studies on evaluation of sex pheromone and sticky colour traps for
monitoring of shoot and fruit borer (Leucinodes orbonalis Gueene.) BSFB in brinjal
were carried out during 2013-14 at Jumanal and Hittanalli villages (Vijayapur Tq
and District) under irrigated condition with Mahyco super 10 variety.
Among the different pheromone traps evaluated for monitoring of BSFB,
water trap proved to be most effective by attracting significantly higher number of
moths throughout the season. The mean number of moths caught was 3.08 / trap
leading to lowest shoot (5.48 %) and fruit (15.03 %) damage. The fruit yield in the
plots having water trap (489 kg plot1) was also significantly higher amongst
treatments. Can trap appeared to be next best treatment among other models
used. Sleeve trap, delta trap and bottle trap models were ineffective as monitoring
tool.
Seven different sticky colour traps viz., Violet, Indigo, Blue, Green, Yellow,
Orange and Red were evaluated for monitoring of BSFB. The moth attraction was
nil to any traps except some stray attractions. There was no significant difference
noticed in shoot damage, fruit damage and yield among these treatments. Thus
the present study reveals no significance of colour traps with respect to
Leucinodes orbonalis in brinjal.