Contribution of crop models to adaptation in wheat

Research output: Contribution to journalReviewResearchpeer-review

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Contribution of crop models to adaptation in wheat. / Chenu, Karine; Porter, John Roy; Martre, Pierre; Basso, Bruno; Chapman, Scott Cameron; Ewert, Frank; Bindi, Marco; Asseng, Senthold.

In: Trends in Plant Science, Vol. 22, No. 6, 2017, p. 472-490.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Chenu, K, Porter, JR, Martre, P, Basso, B, Chapman, SC, Ewert, F, Bindi, M & Asseng, S 2017, 'Contribution of crop models to adaptation in wheat', Trends in Plant Science, vol. 22, no. 6, pp. 472-490. https://doi.org/10.1016/j.tplants.2017.02.003

APA

Chenu, K., Porter, J. R., Martre, P., Basso, B., Chapman, S. C., Ewert, F., Bindi, M., & Asseng, S. (2017). Contribution of crop models to adaptation in wheat. Trends in Plant Science, 22(6), 472-490. https://doi.org/10.1016/j.tplants.2017.02.003

Vancouver

Chenu K, Porter JR, Martre P, Basso B, Chapman SC, Ewert F et al. Contribution of crop models to adaptation in wheat. Trends in Plant Science. 2017;22(6):472-490. https://doi.org/10.1016/j.tplants.2017.02.003

Author

Chenu, Karine ; Porter, John Roy ; Martre, Pierre ; Basso, Bruno ; Chapman, Scott Cameron ; Ewert, Frank ; Bindi, Marco ; Asseng, Senthold. / Contribution of crop models to adaptation in wheat. In: Trends in Plant Science. 2017 ; Vol. 22, No. 6. pp. 472-490.

Bibtex

@article{26d0033ed41e49ecac55c47a8c3c5326,
title = "Contribution of crop models to adaptation in wheat",
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.",
keywords = "Journal Article, Review",
author = "Karine Chenu and Porter, {John Roy} and Pierre Martre and Bruno Basso and Chapman, {Scott Cameron} and Frank Ewert and Marco Bindi and Senthold Asseng",
note = "Copyright {\textcopyright} 2017 Elsevier Ltd. All rights reserved.",
year = "2017",
doi = "10.1016/j.tplants.2017.02.003",
language = "English",
volume = "22",
pages = "472--490",
journal = "Trends in Plant Science",
issn = "1360-1385",
publisher = "Elsevier Ltd. * Trends Journals",
number = "6",

}

RIS

TY - JOUR

T1 - Contribution of crop models to adaptation in wheat

AU - Chenu, Karine

AU - Porter, John Roy

AU - Martre, Pierre

AU - Basso, Bruno

AU - Chapman, Scott Cameron

AU - Ewert, Frank

AU - Bindi, Marco

AU - Asseng, Senthold

N1 - Copyright © 2017 Elsevier Ltd. All rights reserved.

PY - 2017

Y1 - 2017

N2 - 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.

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.

KW - Journal Article

KW - Review

U2 - 10.1016/j.tplants.2017.02.003

DO - 10.1016/j.tplants.2017.02.003

M3 - Review

C2 - 28389147

VL - 22

SP - 472

EP - 490

JO - Trends in Plant Science

JF - Trends in Plant Science

SN - 1360-1385

IS - 6

ER -

ID: 180762588