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CAB eBooks

Ebooks on agriculture and the applied life sciences from CAB International

CABI Book Chapter

Climate change and crop production.

Book cover for Climate change and crop production.


This book comprehensively addresses the impact of climate change on crop productivity and approaches to adapt to both biotic and abiotic stresses as well as approaches to reduce greenhouse gases. The predictions of climate change and its impact on crop productivity, adaptation to biotic and abiotic stresses through crop breeding, sustainable and resource-conserving technologies for adaptation to a...


Chapter 7 (Page no: 115)

Multi-location testing as a tool to identify plant response to global climate change.

Plant breeding, using the combined potential of conventional, molecular and genetically modified technologies, will provide cultivars with greatly enhanced nutrient and water-use efficiency, enhanced tolerance to heat and drought, resistance to diseases and appropriate end-use and nutritional quality, and, possibly most important, increased ability to cope with the increasing extremes in temperature and precipitation occurring at one location over years. Modern crop cultivars developed by seed companies, international crop research centres and national breeding programmes often exhibit very wide geographical adaptation, as well as broad adaptation to the range of environmental and management conditions that occur within and between a target population of environments, or megaenvironments. To identify such cultivars, multi-location testing done by the International Maize and Wheat Improvement Center (CIMMYT) and the International Rice Research Institute (IRRI) remains the most efficient system. International evaluation networks based on exchange of and free access to germplasm and multi-location testing are therefore a cornerstone in the strategies and efforts to develop wheat, rice and maize germplasm that is adapted to the increasingly variable growing conditions encountered due to global climate change. Information from such trials must be combined with information from managed stress trials. Wide performance adaptation is essential to respond to global climate change, to the vagaries of spatial heterogeneity within farmers' fields and their production input management efficacies, and from unpredictable temporal climatic seasonal variability.

Other chapters from this book

Chapter: 1 (Page no: 1) Adapting crops to climate change: a summary. Author(s): Reynolds, M. P. Ortiz, R.
Chapter: 2 (Page no: 9) Scenarios of climate change within the context of agriculture. Author(s): Jarvis, A. Ramirez, J. Anderson, B. Leibing, C. Aggarwal, P.
Chapter: 3 (Page no: 38) Economic impacts of climate change on agriculture to 2030. Author(s): Lobell, D. Burke, M.
Chapter: 4 (Page no: 50) Preventing potential disease and pest epidemics under a changing climate. Author(s): Legrève, A. Duveiller, E.
Chapter: 5 (Page no: 71) Breeding for adaptation to heat and drought stress. Author(s): Reynolds, M. P. Hays, D. Chapman, S.
Chapter: 6 (Page no: 92) Breeding crops for tolerance to salinity, waterlogging and inundation. Author(s): Mullan, D. J. Barrett-Lennard, E. G.
Chapter: 8 (Page no: 139) Genetic approaches to reduce greenhouse gas emissions: increasing carbon capture and decreasing environmental impact. Author(s): Parry, M. A. J. Hawkesford, M. J.
Chapter: 9 (Page no: 151) Greenhouse gas mitigation in the main cereal systems: rice, wheat and maize. Author(s): Ortiz-Monasterio, I. Wassmann, R. Govaerts, B. Hosen, Y. Katayanagi, N. Verhulst, N.
Chapter: 10 (Page no: 177) How conservation agriculture can contribute to buffering climate change. Author(s): Hobbs, P. R. Govaerts, B.
Chapter: 11 (Page no: 200) Management of resident soil microbial community structure and function to suppress soilborne disease development. Author(s): Mazzola, M.
Chapter: 12 (Page no: 219) Biotechnology in agriculture. Author(s): Whitford, R. Gilbert, M. Langridge, P.
Chapter: 13 (Page no: 245) GIS and crop simulation modelling applications in climate change research. Author(s): Hodson, D. White, J.
Chapter: 14 (Page no: 263) Statistical models for studying and understanding genotype × environment interaction in an era of climate change and increased genetic information. Author(s): Crossa, J. Burgueño, J. Vargas, M.

Chapter details

  • Author Affiliation
  • International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, 06600 Mexico, D.F., Mexico.
  • Year of Publication
  • 2010
  • ISBN
  • 9781845936334
  • Record Number
  • 20103205645