Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions

Journal article

Open access

Peer reviewed

Xianran Li, Tingting Guo, Guihua Bai, Zhiwu Zhang, Deven See, Juliet Marshall, Kimberly A. Garland-Campbell and Jianming Yu

Molecular plant, Vol.15(2), pp.203-206

02/07/2022

PMID: 34999020

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https://doi.org/10.1016/j.molp.2022.01.001View

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Title: Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions
Creators: Xianran Li - Quality Research
Tingting Guo - Iowa State University
Guihua Bai - Agricultural Research Service
Zhiwu Zhang - Washington State University
Deven See - Quality Research
Juliet Marshall - University of Idaho
Kimberly A. Garland-Campbell - Agricultural Research Service
Jianming Yu - Iowa State University
Publication Details: Molecular plant, Vol.15(2), pp.203-206
Publisher: Elsevier Inc
Identifiers: 996652146701851
Academic Unit: Idaho Falls Research and Extension Center; Plant Sciences
Language: English
Resource Type: Journal article