disease epidemic and severity of rice blast, rice brown spot and rice narrow brown spot in lower...

Disease Epidemic and Severity of Rice Blast,

Rice Brown Spot and Rice Narrow Brown Spot

in Lower Yom Basin Off-season Rice

Using Geo-Informatics

Objectives

-Show the case how to use geo-informatic and space technology to support the research of rice disease epidemic and severity in the Lower Yom Basin

Study Area

Lower Yom Basin

-Covered 2 districts of Phitsanulok province

-Covered 3 districts of Phichit province

-2,000 Sq.Km

Method1. Satellite use LANDSAT 5Supported by GISTDA 6 date beginning from December 2008 - May 2009

2. Paddy field surveyRice diseases diagnosis and grading disease severity of 3 diseases symptoms - Seedling stage 1 – 30 days- Tillering stage 31-51 days- Flowering Stage 51-80 days- Maturing Stage more than 81 days

3. Recorded the coordinate of sampling plots

4. Confirmed the diseases causing agents under compond microscope in laboratory

Rice blast symptom

Caused of Biporalis oryzae

and Curvularia lunata)

Rice brown spot symptom

(Biporalis oryzae)

Rice Narrow Brown Spot caused of

Cercospora

oryzae

-The difference growth stages of rice had been used for paddy field area classification.

- Multispectral from the LANDSAT in 7 periods

Start from November 2008 until May 2009

The raw data from the LANDSAT had been adjusted the intensity of band 3 and band 4 with linear equations. For provide the valuable information on the intensity between 0 - 255.

Multispectral from the

LANDSAT in 7 periods

Lower Yom Basin9th

December 2008

10th January 2009

26th January 2009

11st February 2009

27th February 2009

16th April 2009

18th May 2009

multispectral data from LANDSAT in each date had been using for create

DVI = (B4-B3) (B4+B3)

DVI on Lower Yom Basin

9th December 2008

DVI on Lower Yom Basin

10th January 2009

DVI on Lower Yom Basin

26th January 2009

DVI on Lower Yom Basin

11th February 2009

DVI on Lower Yom Basin

27th February 2009

DVI on Lower Yom Basin

16th April 2009

DVI on Lower Yom Basin

16th May 2009

Step 1 : Classified data from DVI in Multi Date (3 dates) Supervised classification into 5 classes

Class 1 = Bared soil Class 2 = Seedling Stage

Class 3 = Tillering Stage Class 4 =Maturing Stage

Class 5 = Haversting Stage

Step 2 : Intersect paddy field frame which derived from Land Development Department

Step 3 : Calculation paddy field area in each growth stageSeedling

Stage

Tillering Stage

January 2009

Maturing Stage or

Flowering Stage

February 2009

Harvesting Stage

March 2009

Preparation Stage

April 2009

Seedling Stage

May 2009

0

10

20

30

40

50

60

Dec2551 Jan2552 Feb2552 Mar2552 Apr2552 May2552

Baresoil

seeding

tillering

maturing

harvesting

Percentage of area under off-season rice growth stages .

Days after planting

%DVI

% DVI = -0.0222X2 + 2.5325X - 15.178 ; R2 = 0.809 Tillerin

g Stage

57 days

1) Equation for Calculate

Age of Rice on Seedling Stage and Tillering Stage

= 57 – (3138.002 –( %DVI*45.0451)) ½

2) Equation for Calculate Age of Rice on Maturing Stage and Harvesting Stage

= 57 + (3138.002 –( %DVI*45.0451)) ½

Equation for Calculation Growth Stage of Rice

- Off season rice data had been collected from December 2008 until May 2009.

- Linear Correlation (r) between Planting Date and Age of Rice Planting Date (on 1st November until 31st May is the timing to begin palnting off season) Age of rice (beginning from sowing day or planting day until harvesting day)

Dbl = Rice Blast DiseaseDs = Rice Brown Spot

Dst = Rice Narrow Brown Spot or Streak

Dbl = -.027PlantD + 0.044Age + 7.40 ; R2= .150, F= 44.536 Sig.= 0.000

(t= -5.467) (t=-5.467) (t=9.432)

Equation for calculated plant disease severity

Ds = .039PlantD + .068Age - 1.075 ; R2= .101, F= 28.384 Sig.= 0.000 (t= 6.930) (t= 5.781) (t= -1.182)

Dst = .024PlantD + .039Age - 1.938 ; R2= .382, F= 156.343 Sig.= 0.000 (t= 16.580) (t= 13.005) (t= -8.384)

DVIStage R

Stage R

DBL Dec09

showed ≤ 10% = 66.99%

December 2008

showed ≤ 15% = 33.02%

Rice Blast Disease Severity

January 2009

showed ≤ 10% = 93.69%

Rice Blast Disease Severity

showed ≤ 15% = 31.91%

February 2009

showed ≤ 10% = 46.78%

Rice Blast Disease Severityshowed ≤ 5% = 26.70%

Rice Blast Disease Severity

showed ≤ 15% = 47.85%

showed ≤ 10% = 20.24%

March 2009

showed ≤ 5% = 20.24%

April 2009

showed ≤ 15% = 15.88%

showed ≤ 10% = 34.93%

showed ≤ 5% = 49.18%

Rice Blast Disease Severity

May 2009

showed ≤ 15% = 3.84%

showed ≤ 10% = 13.89%

showed ≤ 5% = 82.27%

Rice Blast Disease Severity

February 2009

showed ≤ 10% = 14.66%

showed ≤ 5% = 82.54%

Rice Brown Spot Disease

Severityshowed no symptom = 2.80%

March 2009

showed ≤ 10% = 70.96%

showed ≤ 5% = 29.04%

Rice Brown Spot Disease

Severity

April 2009

showed ≤ 10% = 95.54%

showed no symptom = 6.46%

Rice Brown Spot Disease

Severity

May 2009

Rice Brown Spot Disease

Severity

showed ≤ 10% = 96.31%

showed no symptom = 3.69%

Rice Narrow Brown Spot

Disease Severity

showed ≤ 5% = 58.16%

February 2009

showed no symptom =41.81%

March 2009

showed no symptom = 14.84%showed ≤ 5% = 85.66%

Rice Narrow Brown Spot

Disease Severity

showed ≤ 5% = 100%

April 2009

Rice Narrow Brown Spot

Disease Severity

Rice Narrow Brown Spot Severity showed ≤ 5% = 100%

May 2009

Conclusion

Rice blast disease severity was decreased from January to May. Off-season rice growing area showed moderately disease severity in 33.02 of planting area. But showed low disease severity in 82.27% of planting area.

- Rice brown spot symptom was not found on December and January. But rice brown spot disease was increasing in infection area on February until May, in the low level of disease severity.

- Rice narrow brown spot symptom was not found on December and January. But rice narrow brown spot disease was increasing in infection area on February until May, in the low level of disease severity

Acknowledgement

- GISTDA for research financial and satellite data support.

- Assist. Prof. Vicharn Amarakul for GIS analysis