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Agricultural commodity production in a changing climate scenario is undergoing sustainability challenges due to degradation of soil fertility, water and biodiversity resources. In Africa, yields for important cereals (e.g., maize) have stagnated at 1 t ha−1 due to land degradation, low fertilizer...


Carsan, S.Stroebel ADawson, I.Kindt, RoelandMowo JGJamnadass, Ramni H.[Can agroforestry enhance the resilience of agricultural commodity production systems?]Can agroforestry enhance the resilience of agricultural commodity production systems?

Productivity enhancement has traditionally been the main focus of agricultural research to alleviate poverty and enhance food security of poor farmers in the developing world. Recently, the harmful impact of climate change, economic volatility, and other external shocks on poor farmers has led to...


Walker BSayer, Jeffrey A.Andrew NLCampbell, Bruce M.[Should enhanced resilience be an objective of natural resource management research in developing countries?]Should enhanced resilience be an objective of natural resource management research in developing countries?

Given the accumulating evidence of climate change in sub-Saharan Africa, there is an urgent need to develop more climate resilient maize systems. Adaptation strategies to climate change in maize systems in sub-Saharan Africa are likely to include improved germplasm with tolerance to drought and h...


Cairns, Jill E.Hellin, J.Sonder, KaiAraus, J.L.MacRobert JFThierfelder, ChristianPrasanna, Boddupalli[Adapting maize production to climate change in sub-Saharan Africa]Adapting maize production to climate change in sub-Saharan Africa

Feeding a growing global population in a changing climate presents a significant challenge to society. The projected yields of crops under a range of agricultural and climatic scenarios are needed to assess food security prospects. Previous meta-analyses have summarized climate change impacts and...


Challinor, Andrew J.Watson, J.Lobell, David B.Howden SMSmith, D.R.Chhetri, Netra[A meta-analysis of crop yield under climate change and adaptation]A meta-analysis of crop yield under climate change and adaptation

Statistically downscaled forecasts of October–December (OND) rainfall are evaluated over East Africa from two general circulation model (GCM) seasonal prediction systems. The method uses canonical correlation analysis to relate variability in predicted large-scale rainfall (characterizing, e.g., ...


Kipkogei, OMwanthi, AMMwesigwa, JBAtheru, ZKKWanzala, MAArtan, G[Improved seasonal prediction of rainfall over East Africa for application in agriculture: Statistical downscaling of CFSv2 and GFDL-FLOR]Improved seasonal prediction of rainfall over East Africa for application in agriculture: Statistical downscaling of CFSv2 and GFDL-FLOR

The monitoring and prediction of climate-induced variations in crop yields, production and export prices in major food-producing regions have become important to enable national governments in import-dependent countries to ensure supplies of affordable food for consumers. Although the El Niño/Sou...


Iizumi TLuo JChallinor, Andrew J.Sakurai GYokozawa MSakuma HBrown, M.E.Yamagata T[Impacts of El Niño Southern Oscillation on the global yields of major crops]Impacts of El Niño Southern Oscillation on the global yields of major crops

Temperature is one of the most prominent environmental factors that determine plant growth, devel- opment, and yield. Cool and moist conditions are most favorable for wheat. Wheat is likely to be highly vulnerable to further warming because currently the temperature is already close to or above o...


Li SWheeler, TimChallinor, Andrew J.Erda, LinYinlong XHui J[Simulating the impacts of global warming on wheat in China using a large area crop model]Simulating the impacts of global warming on wheat in China using a large area crop model

As climate changes, temperatures will play an increasing role in determining crop yield. Both climate model error and lack of constrained physiological thresholds limit the predictability of yield. We used a perturbed-parameter climate model ensemble with two methods of bias-correction as input t...


Köhler, Ann-KristinChallinor, Andrew J.Hawkins EAsseng, Senthold[Influences of increasing temperature on Indian wheat: quantifying limits to predictability]Influences of increasing temperature on Indian wheat: quantifying limits to predictability

Este documento se encuentra enmarcado en el proyecto LivestockPlus, que busca apoyar, desde distintas líneas investigativas, la planificación de diferentes acciones en el sector ganadero latinoamericano para reducir las emisiones de gases de efecto invernadero que éste genera, con un enfoque en...


CGIAR Research Program on Climate Change, Agriculture and Food SecurityGumucio, TatianaMora Benard, María AlejandraTwyman, JenniferHernández Ceballos, María Camila[Género en la ganadería: Consideraciones iniciales para la incorporación de una perspectiva de género en la investigación de la ganadería en Colombia y Costa Rica]Género en la ganadería: Consideraciones iniciales para la incorporación de una perspectiva de género en la investigación de la ganadería en Colombia y Costa Rica

Los escenarios socioeconómicos se enfocan específicamente en analizar y luego mejorar las condiciones institucionales, que permiten o restringen la adaptación e implementación de medidas de mitigación por parte de CCAFS y sus socios. Por lo tanto, los escenarios ofrecen una actividad altamente co...


CGIAR Research Program on Climate Change, Agriculture and Food Security[Informe del taller para la construcción de escenarios socioeconómicos para los países de américa central]Informe del taller para la construcción de escenarios socioeconómicos para los países de américa central

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