Contribution of crop models to adaptation in wheat

Karine Chenu; John Roy Porter; Pierre Martre; Bruno Basso; Scott Cameron Chapman; Frank Ewert; Marco Bindi; Senthold Asseng

doi:10.1016/j.tplants.2017.02.003

Contribution of crop models to adaptation in wheat

Karine Chenu, John Roy Porter, Pierre Martre, Bruno Basso, Scott Cameron Chapman, Frank Ewert, Marco Bindi, Senthold Asseng

Section for Crop Sciences

73 Citations (Scopus)

Abstract

With world population growing quickly, agriculture needs to produce more with fewer inputs while being environmentally friendly. In a context of changing environments, crop models are useful tools to simulate crop yields. Wheat (Triticum spp.) crop models have been evolving since the 1960s to translate processes related to crop growth and development into mathematical equations. These have been used over decades for agronomic purposes, and have more recently incorporated advances in the modeling of environmental footprints, biotic constraints, trait and gene effects, climate change impact, and the upscaling of global change impacts. This review outlines the potential and limitations of modern wheat crop models in assisting agronomists, breeders, and policymakers to address the current and future challenges facing agriculture.

Original language	English
Journal	Trends in Plant Science
Volume	22
Issue number	6
Pages (from-to)	472-490
Number of pages	19
ISSN	1360-1385
DOIs	https://doi.org/10.1016/j.tplants.2017.02.003
Publication status	Published - Jun 2017

Keywords

Journal Article
Review

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.tplants.2017.02.003

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AU - Porter, John Roy

AU - Martre, Pierre

AU - Basso, Bruno

AU - Chapman, Scott Cameron

AU - Ewert, Frank

AU - Bindi, Marco

AU - Asseng, Senthold

PY - 2017/6

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AB - With world population growing quickly, agriculture needs to produce more with fewer inputs while being environmentally friendly. In a context of changing environments, crop models are useful tools to simulate crop yields. Wheat (Triticum spp.) crop models have been evolving since the 1960s to translate processes related to crop growth and development into mathematical equations. These have been used over decades for agronomic purposes, and have more recently incorporated advances in the modeling of environmental footprints, biotic constraints, trait and gene effects, climate change impact, and the upscaling of global change impacts. This review outlines the potential and limitations of modern wheat crop models in assisting agronomists, breeders, and policymakers to address the current and future challenges facing agriculture.

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JO - Trends in Plant Science

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Contribution of crop models to adaptation in wheat

Abstract

Keywords

UN SDGs

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