Improving Wheat Yield Prediction Using Secondary Traits and High-Density Phenotyping Under Heat-Stressed Environments.

canopy temperature grain yield prediction heat-stress high-throughput phenotyping normalized difference vegetation index wheat

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2021
Historique:
received: 25 11 2020
accepted: 19 08 2021
entrez: 14 10 2021
pubmed: 15 10 2021
medline: 15 10 2021
Statut: epublish

Résumé

A primary selection target for wheat (

Identifiants

pubmed: 34646280
doi: 10.3389/fpls.2021.633651
pmc: PMC8502926
doi:

Banques de données

Dryad
['10.5061/dryad.vdncjsxrz']

Types de publication

Journal Article

Langues

eng

Pagination

633651

Informations de copyright

Copyright © 2021 Rahman, Crain, Haghighattalab, Singh and Poland.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Mohammad Mokhlesur Rahman (MM)

Department of Plant Pathology, Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States.

Jared Crain (J)

Department of Plant Pathology, Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States.

Atena Haghighattalab (A)

Stakman-Borlaug Center for Sustainable Plant Health, University of Minnesota, St Paul, MN, United States.

Ravi P Singh (RP)

International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico.

Jesse Poland (J)

Department of Plant Pathology, Wheat Genetics Resource Center, Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States.

Classifications MeSH