1. FOCUS OF AGROMETEOROLOGICAL RESEARCH IN ANGRAU Dr. D. Raji Reddy Principal Scientist (Agrometeorology) Agrometeorology Cell, Agricultural Research Institute Acharya N G Ranga Agricultural University, Rajendranagar, Hyderabad - 30

3. AGRO CLIMATIC ZONES OF THE STATE

4. Region Southwest monsoon Northeast monsoon Total (mm) mm% % North Telangana82582113111004 South Telangana5807512717774 South Coastal A.P.4825137839948 North Coastal A.P.70264269241104 Rayalaseema3945722932702 Andhra Pradesh6216721623923 Seasonal rainfall distribution in different regions of Andhra Pradesh (1960 to 2007)

5. Annual rainfall (mm) trend in Andhra Pradesh Trend line Mean Rainfall

6. Dependable rainfall (mm) in different regions of Andhra Pradesh

7. Rainfall (mm) departure of Telangana region during last decade (1998-07) over the mean of three decades (1968-97) -17 -48 -73 -63 -146 -117 -63 -180 -200 -180 -160 -140 -120 -100 -80 -60 -40 -20 0 20 40 ADBNZBKRMWGLKMMMDKNLGMHBHYD Rainfall departure (mm) District s

9. Relationship between September rainfall and grain yield of Maize in Medak district 0 500 1000 1500 2000 2500 3000 3500 4000 198919901991 1992 19931994199519961997199819992000 2001 2002 Year Yield (kg/ha) 0 50 100 150 200 250 Rainfall (mm) RainfallYield

10. Correlation coefficients between the rainfall predicted by different models and observed ECHAMCOLACCMNCEPGSCF June-0.204-0.488-0.297-0.0630.029 July0.0390.1680.121-0.019-0.087 Aug0.4460.345-0.1960.132-0.049 Sept0.2810.2730.2150.1220.127 Oct0.1820.2320.0060.0840.366 Jun-Jul-0.359-0.0630.030-0.030-0.017 Jul-Aug0.4940.435-0.0700.127-0.002 Aug-Sept0.5890.4660.1520.2440.159 Jun-Jul-Aug0.4250.351-0.0600.1230.015 Jul-Aug-Sept0.6050.5280.1910.2030.148 Jun-Jul-Aug-Sept0.5690.4700.2360.1880.163 Whole Year0.5520.363-0.0300.1790.127

11. Maize: Comparison of the grain yield of maize cv. Proagro simulated by the model with the hindcast and observed weather data.

13. Relationship between WRSI and pod yield of groundnut 0 500 1000 1500 2000 2500 80859095100 Water Requirement Satisfaction Index Pod yield (kg/ha) Y=-6400+83 X (R 2 =0.84)

15. 406.7 605.0 318.2 557.5 296.5 580.0 208.1 562.5 0 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 Water (mm) June 16thJune 26thJuly 7thJuly 18th Irrigation water (mm) Effective rainfall (mm) 4.97 t ha -1 4.88 t ha -1 4.82 t ha -1 4.11 t ha -1 Relationship between total water received and grain yield of Aerobic rice in different dates of sowing

16. Comparative grain yield (t/ha) of MTU-1010 simulated by CERES rice and WOFOST under different dates of planting at RARS, Jagtial

17. Yield (Kg / ha)

19. Simulated grain yield (t/ha) of rice under different climate change scenarios

20. Changes in temperature( 0 C) and CO 2 at different level Simulated grain yield (kgha -1 )% Change from Normal 450 ppmEarlyTimelyLateEarlyTimelyLate 1413647175207-12 -9 Normal469553605727000 53906302623015189 600 ppmEarlyTimelyLateEarlyTimelyLate 1457251855606-12-113 Normal516958265449000 586665126463131219 Combined effect of changes in temperature and CO2 levels on grain yield of Rabi jowar

22. Heat wave - 2003 Case study in Andhra Pradesh

23. 40-42 42-44 44-46 46-48 > 48 27-05-2003 28-05-2003 29-05-2003 30-05-2003 31-05-2003 Maximum temperature distribution during severe heat wave conditions of 2003 in A.P.

24. Heat Wave (2003) - Damage to Mango Orchard Custard Apple is tolerant to High temperatures

29. Regression model for mango leaf webber (Orthaga euadrusalis) and mango hopper (Amritodus atkinsoni) Pest Regression equation R 2 Mango leaf webber Y = 4.45 – 1.714 X 1 + 0.418 X 2 0.76 Y = Number of leaf webs/tree X 1 = Mean minimum temperature ( o C) recorded during the preceding week of observation X 2 = Mean forenoon relative humidity (%)recorded during the preceding week of observation Mango hopper Y = 31.690 – 1.025 X 1 + 0.1096 X 2 0.84 Y = Number of hoppers on trunk in thirty square centimeter area X 1 =Mean maximum temperature ( o C) recorded during the preceding week of observation. X 2 = Mean relative humidity afternoon (%) recorded during the preceding week of observation

30. Weather based agro-advisories WEATHER BASED AGRO-ADVISORIES Website agromet.ap.nic.in

31. Chief Sec. Farmer AAS bulletin dissemination Print & Electronic media AAS Bulletin Agril.Minister Agril.Sec. C & DA JDAs AOs Univ. officers Agromet website AEOs Agrometeorological Advisory* Services in ANGRAU AAS Unit Districts Agromet – Cell Ranga Reddy, Medak Rajendranagar Mahabubnagar&Nalgonda RARS, Jagtial Karimnagar, Warangal, Khammam, Adilabad & Nizamabad RARS, Anakapalle Visakhapatnam, Vizianagaram and Srikakulam RARS, Chintapalli High altitude &Tribal areas RARS, Lam Guntur, Krishna, Prakasam, East & West Godavari RARS, Tirupati Chittoor, S.P.S. Nellore and Kadapa A.R.S, Anantapur Anantapur and Kurnool *Issued on every Tuesday and Friday valid for next 4 days