An integrated approach to maintaining cereal productivity under climate change

Wheat, rice, maize, pearl millet, and sorghum provide over half of the world's food calories. To maintain global food security, with the added challenge of climate change, there is an increasing need to exploit existing genetic variability and develop cultivars with superior genetic yield poten...

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Veröffentlicht in:Global food security 2016-03, Vol.8, p.9-18
Hauptverfasser: Reynolds, Matthew P., Quilligan, Emma, Aggarwal, Pramod K., Bansal, Kailash C., Cavalieri, Anthony J., Chapman, Scott C., Chapotin, Saharah M., Datta, Swapan K., Duveiller, Etienne, Gill, Kulvinder S., Jagadish, Krishna S.V., Joshi, Arun K., Koehler, Ann-Kristin, Kosina, Petr, Krishnan, Srivalli, Lafitte, Renee, Mahala, Rajendra S., Muthurajan, Raveendran, Paterson, Andrew H., Prasanna, Boddupalli M., Rakshit, Sujay, Rosegrant, Mark W., Sharma, Indu, Singh, Ravi P., Sivasankar, Shoba, Vadez, Vincent, Valluru, Ravi, Vara Prasad, P.V., Yadav, Om Prakash
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Sprache:eng
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Zusammenfassung:Wheat, rice, maize, pearl millet, and sorghum provide over half of the world's food calories. To maintain global food security, with the added challenge of climate change, there is an increasing need to exploit existing genetic variability and develop cultivars with superior genetic yield potential and stress adaptation. The opportunity to share knowledge between crops and identify priority traits for future research can be exploited to increase breeding impacts and assist in identifying the genetic loci that control adaptation. A more internationally coordinated approach to crop phenotyping and modeling, combined with effective sharing of knowledge, facilities, and data, will boost the cost effectiveness and facilitate genetic gains of all staple crops, with likely spill over to more neglected crops. •Wheat, rice, maize, pearl millet, and sorghum share several stress adaptive traits.•Comparative biology can help identify robust traits for crop improvement.•Collaborative phenotyping platforms increase efficiency and capacity for research.•Crop simulation modeling enables data sharing and predicting stress adaptation.•Effective data sharing can amplify research outputs.
ISSN:2211-9124
2211-9124
DOI:10.1016/j.gfs.2016.02.002