A framework for genomics-informed ecophysiological modeling in plants.

Wang, Diane R; Guadagno, Carmela R; Mao, Xiaowei; Mackay, D Scott; Pleban, Jonathan R; Baker, Robert L; Weinig, Cynthia; Jannink, Jean-Luc; Ewers, Brent E

Wang, Diane R; Guadagno, Carmela R; Mao, Xiaowei; Mackay, D Scott; Pleban, Jonathan R; Baker, Robert L; Weinig, Cynthia; Jannink, Jean-Luc; Ewers, Brent E.

Afiliação

Wang DR; Geography Department, University at Buffalo, Buffalo, NY, USA.
Guadagno CR; Botany Department, University of Wyoming, Laramie, WY, USA.
Mao X; Plant Breeding and Genetics Section, Cornell University, Ithaca, NY, USA.
Mackay DS; Geography Department, University at Buffalo, Buffalo, NY, USA.
Pleban JR; Geography Department, University at Buffalo, Buffalo, NY, USA.
Baker RL; Biology Department, Miami University, Oxford, OH, USA.
Weinig C; Botany Department, University of Wyoming, Laramie, WY, USA.
Jannink JL; Plant Breeding and Genetics Section, Cornell University, Ithaca, NY, USA.
Ewers BE; USDA-ARS, Ithaca, NY, USA.

J Exp Bot ; 70(9): 2561-2574, 2019 04 29.

Article em En | MEDLINE | ID: mdl-30825375

Assuntos

Genômica/métodos; Plantas/genética; Ecossistema; Genótipo; Modelos Genéticos; Estresse Fisiológico/genética; Estresse Fisiológico/fisiologia

Palavras-chave

Abiotic stress; G×E; development; genomic prediction; growth; process-based models

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Genômica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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