1. VIEW GRAPHS BY PRS RAO (To be edited by Dr Raji Reddy’s Group)

2. CLIMATE RISK- SEMI ARID VILLAGE AT MEHABUBNAGAR CROP (Specific) - RAINFED MAIZE, RAINFED Bt.COTTON LIVESTOCK (Specific) -SHEEP RISK MGT AT –FAMILY LEVEL – LIVELIHOOD PERSPECTIVE –COMMUNITY LEVEL –GOVERNMENT AND BANK VARIABILITY OF RISK –AT FARM SCALE – IN TIME AND SPACE LIVELIHOOD OPTIONS –COMBINATION OF ENTERPRISES

3. CROP YIELD SCENERIO at study village CROPNORMA L YIELD kg/ha GOOD YEILD kg/ha YEARSPOOR YEILD kg/ha YEARSBEST YEILD kg/ha MaizeRed 3,750 Black- 5,000 Red 5,000 Black- 7,500 2000,19 98, 2007 Red 1,250 Black- 2,500 2001,20 02, 2003, 1997 15,000 (Black) Bt. Cotton 17502500200750020083000

4. Decision onClimate & other information (minimum) Lead time Add ition al cost Additional benefit (correct choice ) Penalty (Wrong choice ) Choice of crop- maize or cotton? Seasonal total. Long dry spell timing Before sowing Non e 30-60% higher yield Lose benefit Best sowing window in – June 1 wk to Aug 1 wk Distribution of wet/dry spells, Crop simulation runs Before sowing Non e 20-80 % higher yield Lose benefit / can not sow the crop Moisture stress management for the crop Dry spell at silk formation stage (60-70 das) 7-10 days ahead Irrig ation 30-60% higher yield Cost Aphids management Wet spells in Vegetative growth, silk formation 7-10 days ahead Plan t prot ectio n 10-30% higher yield Cost

5. Decision onClimate & other information (minimum) Lead time Additio nal cost Additiona l benefit (correct choice ) Penalty (Wrong choice ) Timing and number of top dressing Wet spells in Vegetative growth, silk formation 2-3 weeks ahead None10-30% higher yield Inefficient use, loss of benefit Management of water logging, Downy mildew and wilt in Black soils Long wet spells in Vegetative growth, silk formation 4-7 days ahead Drainag e, Plant protecti on, micro nutrient s 20-40% higher yield Cost / Loss of benefit

6. Decision onClimate & other information (minimum) Lead time Addition al cost Additional benefit (for correct choice ) Penalty (for Wrong choice ) Best sowing window in – May 4 th wk to June 4 th wk Distribution of wet/dry spells, Crop simulation runs Befor e sowin g None20-80 % higher yield Lose benefit / can not sow the crop Moisture stress management for the crop Dry spell at boll formation stage (90-120 das) 7-10 days ahead Irrigation30-60% higher yield Cost / loss of benefit Thrips management Dry spells at Veg. & boll form stage 7-10 days ahead Plant protectio n 10-40% higher yield Cost / loss of benefit Mealy bug management Not clear7-10 days ahead Plant protectio n 10-40% higher yield Cost / loss of benefit Cotton

7. Decision onClimate & other information (minimum) Lead time Addition al cost Additional benefit (for correct choice ) Penalty (for Wrong choice ) Aphids management Wet spells in Vegetative growth, boll formation 7-10 days ahead Plant protectio n 10-40% higher yield Cost/ Loose benefit Timing and number of top dressing Wet spells in Vegetative growth, boll formation 2-3 weeks ahead None10-30% higher yield Inefficient use, loss of benefit Management of water logging, and wilt in Black soils Long wet spells in Vegetative growth, boll formation 4-7 days ahead Drainage, Plant protection, micro nutrients 20-40% higher yield Cost / Loose benefit Cotton

8. CROP -TOTAL CLIMATE RISK COMPONENT From end to end- Land preparation, crop sowing –TO Harvest and post harvest operations Consider both –Direct impact- by moisture stress, water logging and on Crop physiology –Indirect impact – by triggering rapid increase of pests, diseases and vector populations that are already endemic. In any particular year a partiuclar combination of such ‘adverse events’ would occur It is possible to construct simple models for such climate impact by using –Existing literature –Expert knowledge of farmers, field researchers

9. NOTE All further slides refer to Rainfed groundnut at Anantpur These are illustrative of methodology similar questions (to the ones mentioned here) were asked by farmers in the study village.

10. Simple model for Rainfed Groundnut At Anantpur- an example

11. Climate – Direct impact

12. Climate- indirect impact

13. TOTAL CLIMATE RISK FOR GROUNDNUT CROP

14. Validation of Model Prediction and Field data

15. Crop model Validation with observed yield

16. Cost of Cultivation Anantpur District average groundnut yield- (1975- 1995) - Avg rain-47 cm

17. Optimal sowing window Frequently asked question No additional cost, but very high benefit for correct choice but, high penalty for wrong choice Need long term daily rainfall, crop simulation model, soil data, crop management data Simple model on pest and diseases would be desirable (Indirect impact of climate )

18. Recent shift in cropping patterns- Lack of experience of optimal sowing windows

19. PUNTGRO- Year wise yield at different sowing dates

21. Low chance of crop failure? – sow late

22. Best chances of High yields? – sow late

23. High chance of Moisture stress at Pod filling (60-85 days after sowing)

24. Low chance of Moisture stress at Pod filling (60-85 days after sowing)

25. Chance of leaf miner incidence v/s sowing date

26. Chance of Late leaf spot v/s sowing date

27. Community level Livelihood options at 3 villages of Anantpur

29. 6 villages in Anantpur region Located in 3 separate Mandals, distributed in an area of about 4000 sq km Data from Marginal and small farmers, Vulnerable sections to climate risk Sample of 20-40% of the total families in the community Family wise data collection from 2005 to 2008

30. Family wise Annual income distribution- 6 villages

31. Family wise Cattle population in 6 villages.

32. Family wise sheep and Goat income- 6 villages

33. How much credit?

34. Reasons for first debt ? – crop (during bad year), bore wells, sheep are the big reasons

35. Govt. programs as a safety net

36. CPRs as the safety net

37. Highest number of animals not with the largest of farms

38. Mid size farms have the largest credit

39. Debt trap (3 rd Default) - Reasons

40. To be included still RISK MGT AT –For SHEEP

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