Use of climate information for farm-level decision making: rainfed groundnut in southern India

Abstract The production of rainfed crops in semi-arid tropics exhibits large variation in response to the variation in seasonal rainfall. There are several farm-level decisions such as the choice of cropping pattern, whether to invest in fertilizers, pesticides etc., the choice of the period for planting, plant population density etc. for which the appropriate choice (associated with maximum production or minimum risk) depends upon the nature of the rainfall variability or the prediction for a specific year. In this paper, we have addressed the problem of identifying the appropriate strategies for cultivation of rainfed groundnut in the Anantapur region in a semi-arid part of the Indian peninsula. The approach developed involves participatory research with active collaboration with farmers, so that the problems with perceived need are addressed with the modern tools and data sets available. Given the large spatial variation of climate and soil, the appropriate strategies are necessarily location specific. With the approach adopted, it is possible to tap the detailed location specific knowledge of the complex rainfed ecosystem and gain an insight into the variety of options of land use and management practices available to each category of stakeholders. We believe such a participatory approach is essential for identifying strategies that have a favourable cost–benefit ratio over the region considered and hence are associated with a high chance of acceptance by the stakeholders.

[1]  S. Gadgil,et al.  Modelling impact of climate variability on rainfed groundnut , 1999 .

[2]  Y. P. Abrol,et al.  Climate variability and agriculture , 1996 .

[3]  James W. Jones,et al.  Modeling growth and yield of groundnut , 1992 .

[4]  K. Achaya Indian Food: A Historical Companion , 1994 .

[5]  Joe T. Ritchie,et al.  A User-Orientated Model of the Soil Water Balance in Wheat , 1985 .

[6]  James Hansen,et al.  Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges , 2002 .

[7]  J. H. Williams,et al.  Agroclimatic aspects in planning for improved productivity of Alfisols , 1987 .

[8]  Modelling,et al.  Wheat Growth and Modelling , 1985, NATO ASI Science.

[9]  S. Gadgil,et al.  Tailoring strategies to rainfall variability - the choice of the sowing window. , 2000 .

[10]  Farming strategies for a variable climate - A challenge , 2000 .

[11]  K. Boote,et al.  Evaluation of the groundnut model PNUTGRO for crop response to plant population and row spacing , 1994 .

[12]  Evaluation of the groundnut model PNUTGRO for crop response to water availability, sowing dates, and seasons , 1994 .

[13]  M. Sivakumar,et al.  Effect of Water Deficit at Different Growth Phases of Peanut. II. Response to Drought During Preflowering Phase , 1988 .

[14]  Y. P. Abrol,et al.  On growth and fluctuation of Indian foodgrain production , 1999 .

[15]  K. Boote Growth Stages of Peanut (Arachis hypogaea L.)1 , 1982 .

[16]  J. H. Williams,et al.  Effect of Water Deficit at Different Growth Phases of Peanut. I. Yield Responses , 1985 .