A trait‐based model ensemble approach to design rice plant types for future climate-Reference-Cited by-同舟云学术

A trait‐based model ensemble approach to design rice plant types for future climate

Published:2022-01-30 Issue:8 Volume:28 Page:2689-2710
ISSN:1354-1013
Container-title:Global Change Biology
language:en
Short-container-title:Global Change Biology

Author:

Paleari Livia¹^ORCID,Li Tao²,Yang Yubin³,Wilson Lloyd T.³,Hasegawa Toshihiro⁴^ORCID,Boote Kenneth J.⁵^ORCID,Buis Samuel⁶,Hoogenboom Gerrit⁵,Gao Yujing⁵,Movedi Ermes¹,Ruget Françoise⁶,Singh Upendra⁷,Stöckle Claudio O.⁸,Tang Liang⁹,Wallach Daniel⁵¹⁰,Zhu Yan⁹^ORCID,Confalonieri Roberto¹

Affiliation:

1. University of Milan ESP, Cassandra Lab Milan Italy

2. DNDC Applications Research and Training Durham New Hampshire USA

3. Texas A&M AgriLife Research Center Beaumont Texas USA

4. Institute for Agro‐Environmental Sciences National Agriculture and Food Research Organization Tsukuba Japan

5. Department of Agricultural and Biological Engineering University of Florida Gainesville Florida USA

6. INRAE UMR1114 EMMAH Avignon France

7. International Fertilizer Development Center (IFDC) Muscle Shoals Alabama USA

8. Biological Systems Engineering Washington State University Pullman Washington USA

9. MARA Key Laboratory for Crop System Analysis and Decision Making/Jiangsu Key Laboratory for Information Agriculture Nanjing Agricultural University Nanjing PR China

10. National Institute of Agricultural Research (INRA) UMR 1248 Agroecology, Innovations & Territories (AGIR) Castanet‐Tolosan France

Funder

Environmental Restoration and Conservation Agency

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16087

Reference86 articles.

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3. Uncertainty in simulating wheat yields under climate change

4. Determination of critical nitrogen dilution curve based on leaf area index in rice

5. Incorporating realistic trait physiology into crop growth models to support genetic improvement

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