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Journal Article 2015

Autor: Watson, J. Challinor, Andrew J. Fricker TE Ferro CAT

Understanding the relationship between climate and crop productivity is a key component of projections of future food production, and hence assessments of food security. Climate models and crop yield datasets have errors, but the effects of these errors on regional scale crop models is not well c...

Enlace original: https://cgspace.cgiar.org/handle/10568/76592

Investigación en Agricultura
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Watson, J. ,  Challinor, Andrew J. ,  Fricker TE ,  Ferro CAT ,  [Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model] ,  Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model
Journal Article 2013

Autor: Hawkins E Ho CK Osborne, Tom M. Fricker TE Ferro CAT Challinor, Andrew J.

Improved crop yield forecasts could enable more effective adaptation to climate variability and change. Here, we explore how to combine historical observations of crop yields and weather with climate model simulations to produce crop yield projections for decision relevant timescales. Firstly, th...

Enlace original: https://cgspace.cgiar.org/handle/10568/52087

Investigación en Agricultura
Enlace permanente
Hawkins E ,  Ho CK ,  Osborne, Tom M. ,  Fricker TE ,  Ferro CAT ,  Challinor, Andrew J. ,  [Increasing influence of heat stress on French maize yields from the 1960s to the 2030s] ,  Increasing influence of heat stress on French maize yields from the 1960s to the 2030s

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