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LNR GRANGEWASSE ……….1.......... ARC GRAIN CROPS
RESULTS FOR THE 2017/2018 SEASON MAIZE CULTIVAR
EVALUATION
By Zira Mavunganidze, Dirk Bruwer, Deon Du Toit, Theodora Mathobisa and Thinus Prinsloo
(ARC-Grain Crops, Potchefstroom)
LNR GRANGEWASSE ……….2.......... ARC GRAIN CROPS
Maize (Zea mays L.) is the most important grain
crop in South Africa and is produced throughout the
country under different environments. Successful
maize production depends on various factors;
among these is the correct choice of cultivar.
Cultivar selection is one of the critical decisions that
a producer must make each season. Getting maize
variety choice wrong for any particular region can
be costly regarding missed opportunity to produce
the maximum yield from the crop.
The Agricultural Research Council Grain Crops (ARC-
GC) with financial support from the Maize Trust
offers an independent evaluation of cultivars, from
different seed companies, in an attempt to assist
producers to make the right choices regarding
cultivars. Trials were established in five agro-
ecological regions namely Water Tables (Region 1),
West (Region 2), Temperate Eastern Region (Region
3), Cold Eastern Region (Region 4) and KwaZulu-
Natal (Region 5) in collaboration with seed
companies. All the trials were laid out in complete
randomised designs and replicated three times.
Seventy-one medium and long seasonal cultivars
were planted in the western and eastern regions of
the production regions. In the water table region,
33 cultivars were planted, in the western region 40
cultivars, in the temperate eastern region 49
cultivars, the cold eastern region 45 cultivars and 43
cultivars in the KwaZulu-Natal region. Twenty-four
cultivars consisting of short and ultra-short
seasonal growers were planted under irrigation in
the western and eastern production areas.
This report includes data on old and new varieties
added in the 2017/2018 season, allowing
comparison to those already established in the
market. It enables farmers to make variety choice
with consideration to location so that the potential
of the crop can be maximised while also minimising
any environmental impact. Data presented in tables
shows the performance of different cultivars during
the 2017/2018 season. However, cultivar
recommendation cannot be made with one season
data. Multi-season data, which can enable one to
shortlist suitable varieties for any particular farm,
can be obtained from ARC in multi-season data
reports.
Tables 1, 3, 5, 7, 9, 11 and 13 illustrate results of
statistical yield data obtained from various growth
conditions, which give a good indication of the
potential of each cultivar. The results provided in
this report are for sites with =/< 20% coefficient of
variation (CV).
The yield probabilities and agronomic traits are
shown in Tables 2, 4, 6, 8, 10, 12 and 14. The yield
probability of a cultivar is the chance to get an
above average yield compared to the average of all
tested cultivars at a particular yield potential. For
instance, if the yield probability of a cultivar, at a
particular yield potential equals 70%, the chance to
get a yield above the mean of all cultivars is seven
out of ten with a three out of ten chance of
obtaining a yield below the mean.
RESULTATE VIR DIE
2017/2018 SEISOEN
MIELIES KULTIVAR
EVALUERING
Deur Zira Mavunganidze, Dirk Bruwer, Deon Du
Toit, Theodora Mathobisa en Thinus Prinsloo
(LNR-GG)
Mielies (Zea mays (L.)) is die mees belangrikste
graangewas in Suid Afrika en word geproduseer oor
die hele land onder verskillende
omgewingstoestande. Suksesvolle mielieproduksie
hang af van verskillende faktore en een hiervan is
die korrekte seleksie van ‘n kultivar. Kultivar
seleksie is een van die kritiese keuses wat ‘n
produsent moet maak elke seisoen. Om ‘n
verkeerde besluit te maak met kultivarkeuse vir ‘n
spesifieke streek kan baie duur wees vanweë
verlore kanse om die maksimum opbrengs van die
gewas te produseer.
Die Landbounavorsingsraad Graan Gewasse (GG)
bied ‘n onafhanklike evaluasie diens van kultivars
van verskillende saadmaatskappye aan alle
belanghebbendes om te verseker dat produsente
die regte keuse maak met kultivars. Proewe was
gedoen in vyf agro-ekologiese streke naamlik,
LNR GRANGEWASSE ……….3.......... ARC GRAIN CROPS
Watertafels (Streek 1), Weste (Streek 2), Gematigde
ooste (Streek 3), Koue ooste (Streek 4) en KwaZulu
Nata (Streek 5). Alle proewe is uiteengelê as geheel
gerandomiseerd met drie herhalings. Een en
sewentig medium en lang seisoenale kultivars is
geplant in die westelike en oostelike produksie
areas. In die watertafel streek is 33 kultivars
geplant, in die westelike streek 40 kultivars, in die
gematigde oostelike streek 49 kultivars, in die koue
oostelike streek 45 kultivars en 43 kultivars in die
KwaZulu-Natal streek. Vier en Twintig kultivars
bestaande uit kort en ultra-kort seisoenale groeiers
is onder besproeiing geplant in beide die westelike
en oostelike gebiede
Die verslag sluit in resultate van die nuwe kultivars
wat bygevoeg is in die 2017/2018 seisoen wat
vergelyking tussen nuwe en reeds bestaande
kultivars in die mark bewerkstellig. Dit gee
produsente die keuse van geskikte kuItivars met
inagneming van lokaliteit sodat die potensiaal van
die gewas gemaksimaliseer word maar ook om die
impak van omgewingstoestande te minimaliseer.
Resultate in tabelle dui aan die prestasie van
verskillende kultivars gedurende die 2017/2018
seisoen. Goeie kultivarkeuses kan nie gedoen word
met ‘n enkel seisoen se resultate nie. Multi-
seisoenale resultate kan ‘n produsent in staat stel
om ‘n kortlys op te stel van geskikte kultivars end it
kan verkry word van die LNR in multi-seisoenale
verslae.
Tabelle 1, 3, 5, 7, 9, 11 en 13 illustreer resultate van
statistiese opbrengsdata wat verkry is van verskeie
groeikondisiesresultate wat ‘n goeie aanduiding
gee van die potensiaal van elke kultivar. Die
resultate in die verslag is vir lokaliteiete met
koeffisient van variasie (KV) =/< 20%.
Die opbrengsmoontlikheid en agronomiese
eienskappe word weergegee in Tabelle 2, 4, 6, 8, 10,
12 en 14. Die opbrengsmoontlikheid van ‘n kultivar
is die kans om ‘n opbrengs bo die gemiddeld van
alle getoetste kultivars te behaal by ‘n spesifieke
opbrengspotensiaal. Byvoorbeeld, as die
opbrengsmoontlikheid van ‘n kultivar by ‘n
spesifieke opbrengspotensiaal gelyk is aan 70%
beteken dit dat die kultivar ‘n sewe uit tien kans het
om ‘n opbrengs hoër as die gemiddeld van al die
ander kultivars te behaal en ‘n drie uit tien kans om
‘n laer opbrengs te behaal.
LNR GRANGEWASSE ……….4.......... ARC GRAIN CROPS
Tabel 1: Mielie-opbrengs (t/ha) vir die 2017/2018-seisoen op watertafelgronde (Streek 1)
Table 1: Maize yield (t/ha) for the 2017/2018 season: (Watertable - Region 1)
(1)= LNR; (2)= Pannar; (3)= Monsanto; (4)= Pioneer; (5)= Agricol; (6)= Linkseed
LNR GRANGEWASSE ……….5.......... ARC GRAIN CROPS
Tabel 2: Opbrengswaarskynlikheid (%) bo y=x lyn en opsomming van alle agronomiese eienskappevir
2017/2018-seisoen (Watertafels – Streek 1)
Table 2: Probability (%) above y = x line and summary of all agronomic characteristics for the 2017/2018
season: (Watertable - Region 1)
LNR GRANGEWASSE ……….6.......... ARC GRAIN CROPS
Tabel 3: Mielie-opbrengs (t/ha) vir die weste in 2017/2018-seisoen (Wesstreek 2)
Table 3: Maize yield (t/ha) for the west in 2017/2018 season: (Western Region 2)
(1)= LNR; (2)= Pannar; (3)= Monsanto , (4)= Pioneer; (5)= Agricol; (6)= Linkseed; (7)= Klein karoo
LNR GRANGEWASSE ……….7.......... ARC GRAIN CROPS
Tabel 4: Opbrengswaarskynlikheid (%) bo y=x lyn en opsomming van alle agronomiese eienskappe vir
2017/2018-seisoen (Wesstreek 2)
Table 4: Probability (%) above y = x line and summary of all agronomic characteristics for the 2017/2018
season (Western region 2)
LNR GRANGEWASSE ……….8.......... ARC GRAIN CROPS
Tabel 5: Mielie-opbrengs (t/ha) vir die 2017/2018-seisoen vir die gematigde oosstreek (Streek 3)
Table 5: Maize yield (t/ha) for the 2017/2018 season for the temperate east region (Region 3)
(1)= LNR; (2)= Pannar; (3)= Monsanto , (4)= Pioneer; (5)=Agricol; (6)=Linkseed; (7)-Klein karoo; (8)=Seedco
LNR GRANGEWASSE ……….9.......... ARC GRAIN CROPS
Tabel 6: Opbrengswaarskynlikheid (%) bo y=x lyn en opsomming van alle agronomiese eienskappe vir
2017/2018 seisoen (Gematigde ooste streek 3)
Table 6: Probability (%) above y = x line and summary of all agronomic characteristics for the 2017/2018
season (Temperate region 3)
LNR GRANGEWASSE ……….10.......... ARC GRAIN CROPS
Tabel 7: Mielie-opbrengs (t/ha) vir die 2017/2018-seisoen vir die koue oosstreek (Streek 4)
Table 7: Maize yield (t/ha) for the 2017/2018 season for the cold east region (Region 4)
(1)= LNR; (2)= Pannar; (3)= Monsanto; (4)= Pioneer; (5)= Agricol; (6)= Linkseed; (7)= Klein karoo; (8)= Seedco; (9)= DAEA
LNR GRANGEWASSE ……….11.......... ARC GRAIN CROPS
Tabel 8: Opbrengswaarskynlikheid (%) bo y=x lyn en opsomming van alle agronomiese eienskappe vir 2017/2018 seisoen (Koue oosstreek 4) Table 8: Probability (%) above y = x line and summary of all agronomic characteristics for the 2017/2018 season (Cold East region 4)
LNR GRANGEWASSE ……….12.......... ARC GRAIN CROPS
Tabel 9: Mielie-opbrengs (t/ha) vir die 2017/2018-seisoen: KZN (Streek 5) Table 9: Maize yield (t/ha) for the 2017/2018 season: KZN (Region 5)
(1)= LNR; (2)= Pannar; (3)= Monsanto , (4)= Pioneer; (5)= Agricol; (6)= Linkseed; (7)= Klein karoo; (8)= Seedco; (9)= DAEA
LNR GRANGEWASSE ……….13.......... ARC GRAIN CROPS
Tabel 10: Opbrengswaarskynlikheid (%) bo y=x lyn en opsomming van alle agronomiese eienskappevir 2017/2018-seisoen: (KZN Streek 5) Table 10: Probability (%) above y = x line and summary of all agronomic characteristics for the 2017/2018 season (KZN region 5)
LNR GRANGEWASSE ……….14.......... ARC GRAIN CROPS
Tabel 11: Mielie-opbrengs (t/ha) vir die 2017/2018-seisoen: Kort groeiers
Table 11: Maize yield (t/ha) for the 2017/2018 season: Short growers
(1)= LNR; (2)= Pannar; (3)= Monsanto , (4)= Pioneer; (5)= Agricol; (6)= Linkseed; (7)= Klein karoo
LNR GRANGEWASSE ……….15.......... ARC GRAIN CROPS
Tabel 12: Opbrengswaarskynlikheid (%) bo y=x lyn en opsomming van alle agronomiese eienskappe vir 2017/2018-seisoen: Kortgroeiers Table 12: Probability (%) above y = x line and summary of all agronomic characteristics for the 2017/2018: Short growers
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