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Climate Applications and Agriculture: CGIAR Efforts, Capacities and Partner Opportunities

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Abstract

Climate variability creates risk in rainfed farming. Risk in turn discourages investment by farmers, governments and development agencies. For instance, in dry regions recurrent droughts debilitate and destabilize poor, agricultural-based societies, and contribute to land degradation by reducing vegetative cover and water supplies. Drought triggers the exploitation of diminishing resources in order to survive (Cooper 2004). Climate change caused by global warming is likely to increase the frequency of climatic extremes in the future and result in changes in cropping practices and patterns over time and space.

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References

  • Anonymous (2004) Kenya country report — benchmark characterization. Kenya Agricultural Research Institute (KARI)/Desert Margins Program (DMP), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 12404, Niamey, Niger, pp 50–51

    Google Scholar 

  • Bantilan MCS, Parthasarathy D (1998) Efficiency and sustainability gains from adoption of short-duration pigeonpea in nonlegume-based cropping systems. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Andhra Pradesh, India (Impact Series 5)

    Google Scholar 

  • Bänziger M, Mugo S, Edmeades GO (2000) Breeding for drought tolerance in tropical maize — conventional approaches and challenges to molecular approaches. In: Ribaut JM, Poland D (eds) Molecular approaches for the genetic improvement of cereals for stable production in water-limited environments. International Maize and Wheat Improvement Center (CIMMYT), El Batan, Mexico (A Strategic Planning Workshop, 21–25 June 1999, CIMMYT, El Batan, Mexico D.F., pp 69–72)

    Google Scholar 

  • Bationo A, Lompo F, Koala S (1998) Research on nutrient flows and balances in West Africa: state-of-the-art. Agr Ecosyst Environ 71:19–35

    Article  Google Scholar 

  • Breman H (1992) Desertification control, the West African case: prevention is better than cure. Biotropica 24:328–334

    Article  Google Scholar 

  • Ceccarelli S, Grando S, Baum M, Udupa SM (2004) Breeding for drought resistance in a changing climate. In: Rao SC, Ryan J (eds) Challenges and strategies for dryland agriculture. American Society of Agronomy and Crop Science Society of America Madison, Wisconsin, USA (CSSA Spec. Publ. 32., Article 11)

    Google Scholar 

  • CIP (International Potato Centre) (2001) The heat is on. CIP Annual Report 2001. International Potato Center (CIP), Lima, Peru (http://www.cipotato.org/market/ARs/Ar2001/08insects.htm)

    Google Scholar 

  • Cooper PJM (2004) Coping with climatic variability and adapting to climate change: rural water management in dryland areas. IDRC, Ottawa, Canada (Discussion Paper)

    Google Scholar 

  • Hansen JW, Indeje M (2004) Linking dynamic seasonal climate forecasts with crop simulation for maize yield prediction in semi-arid Kenya. Agr Forest Meteorol 125:143–157

    Article  Google Scholar 

  • Harris RL, Robinson S (2001) Economy-wide effects of El Niño/Southern Oscillation (ENSO) in Mexico and the role of improved forecasting and technological change. International Food Policy Research Institute, Washington DC, USA (TMD Discussion Paper 83)

    Google Scholar 

  • Indeje M, Semazzi FHM, Ogallo LJ (2000) ENSO signals in East African rainfall and their prediction potentials. Int J Climatol 20:19–46

    Article  Google Scholar 

  • Jones PG, Thornton PK (2003) The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global Environ Chang 13:51–59

    Article  Google Scholar 

  • Matthew RB, Bachelet D, van Laar HH (1995) Modeling the impact of climate change on rice production in Asia. IRRI/CAB International, Wallingford, UK

    Google Scholar 

  • Ndikumana J, Kamidi R, Desta S, Marambii R, Abdi AI, Shori R (2002) Assessment of possible USAID/OFDA-led activities for increasing resilience of pastoral communities in the Greater Horn of Africa. International Livestock Research Institute, Addis Ababa and Animal Agriculture Research Network, ASARECA

    Google Scholar 

  • PANTLEG (1999) Success stories of rural ICTs in a developing country: report of the PANAsia Telecenter Learning and Evaluation Group’s mission to India, involving visits to the foundation of occupational development and the M. S. Swaminathan Research Foundation, November 1999. International Development Research Centre, Ottawa, Canada

    Google Scholar 

  • Parry ML (2002) Turning up the heat: how will agriculture weather global climate change? International Food Policy Research Institute, Washington, DC, USA (Sustainable Food Security for All by 2020: Proceedings of an International Conference, 4–6 September 2001, Bonn, Germany, pp 117–123)

    Google Scholar 

  • Rosegrant MW, Cai X, Cline SA (2002) World water and food to 2025: dealing with scarcity. International Food Policy Research Institute, Washington, DC, USA

    Google Scholar 

  • Rosema A (1993) Using METEOSAT for operational evapotranspiration and biomass monitoring in the Sahel region. Int J Rem Sens Environ 45:1–25

    Article  Google Scholar 

  • Shapiro BI, Sanders JH, Reddy KC (1993) Using meteorological information to devise adaptive technology recommendations in the Niamey region of Niger. Agr Syst 42(1/2):153–171

    Article  Google Scholar 

  • Sivakumar MVK (1988) Predicting rainy season potential from the onset of the rains in southern Sahelian and Sudanian climatic zones of West Africa. Agr Forest Meteorol 42:295–305

    Article  Google Scholar 

  • Skees J, Hazell P, Miranda M (1999) New approaches to crop yield insurance in developing countries. International Food Policy Research Institute, Washington, DC, USA (Discussion Paper 55, available at http://www.ifpri.org/divs/eptd/dp/papers/eptdp55.pdf)

    Google Scholar 

  • Slegers MFW, Stroosnijder L, Zougmore RB (2004) Exploring drought perceptions of farmers and natural resource management institutions. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India (Desertification, Drought, Poverty and Agriculture (DDPA) research report)

    Google Scholar 

  • Virmani SM, Shurpali NJ (1999) Climate prediction for sustainable production of rainfed groundnuts in SAT: crop establishment risks in groundnut production in Anantapur region. International Crops Research Institute for the Semi-Arid Tropics, Patancheru, A.P. 502 324, India (Technical Manual 4)

    Google Scholar 

  • Virmani SM, Sivakumar MVK, Reddy SJ (1982) Rainfall probability estimates for selected locations of semi-arid India, 2nd edn. International Crops Research Institute for the Semi-Arid Tropics Patancheru, A.P. 502 324, India (Research Bulletin 1)

    Google Scholar 

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Shapiro, B.I. et al. (2007). Climate Applications and Agriculture: CGIAR Efforts, Capacities and Partner Opportunities. In: Sivakumar, M.V.K., Hansen, J. (eds) Climate Prediction and Agriculture. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44650-7_7

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