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Translating High-Throughput Phenotyping into Genetic Gain

Inability to efficiently implement high-throughput field phenotyping is increasingly perceived as a key component that limits genetic gain in breeding programs. Field phenotyping must be integrated into a wider context than just choosing the correct selection traits, deployment tools, evaluation pla...

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Autores principales: Araus, José Luis, Kefauver, Shawn C., Zaman-Allah, Mainassara, Olsen, Mike S., Cairns, Jill E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931794/
https://www.ncbi.nlm.nih.gov/pubmed/29555431
http://dx.doi.org/10.1016/j.tplants.2018.02.001
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author Araus, José Luis
Kefauver, Shawn C.
Zaman-Allah, Mainassara
Olsen, Mike S.
Cairns, Jill E.
author_facet Araus, José Luis
Kefauver, Shawn C.
Zaman-Allah, Mainassara
Olsen, Mike S.
Cairns, Jill E.
author_sort Araus, José Luis
collection PubMed
description Inability to efficiently implement high-throughput field phenotyping is increasingly perceived as a key component that limits genetic gain in breeding programs. Field phenotyping must be integrated into a wider context than just choosing the correct selection traits, deployment tools, evaluation platforms, or basic data-management methods. Phenotyping means more than conducting such activities in a resource-efficient manner; it also requires appropriate trial management and spatial variability handling, definition of key constraining conditions prevalent in the target population of environments, and the development of more comprehensive data management, including crop modeling. This review will provide a wide perspective on how field phenotyping is best implemented. It will also outline how to bridge the gap between breeders and ‘phenotypers’ in an effective manner.
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spelling pubmed-59317942018-05-03 Translating High-Throughput Phenotyping into Genetic Gain Araus, José Luis Kefauver, Shawn C. Zaman-Allah, Mainassara Olsen, Mike S. Cairns, Jill E. Trends Plant Sci Article Inability to efficiently implement high-throughput field phenotyping is increasingly perceived as a key component that limits genetic gain in breeding programs. Field phenotyping must be integrated into a wider context than just choosing the correct selection traits, deployment tools, evaluation platforms, or basic data-management methods. Phenotyping means more than conducting such activities in a resource-efficient manner; it also requires appropriate trial management and spatial variability handling, definition of key constraining conditions prevalent in the target population of environments, and the development of more comprehensive data management, including crop modeling. This review will provide a wide perspective on how field phenotyping is best implemented. It will also outline how to bridge the gap between breeders and ‘phenotypers’ in an effective manner. Elsevier Science, Ltd 2018-05 /pmc/articles/PMC5931794/ /pubmed/29555431 http://dx.doi.org/10.1016/j.tplants.2018.02.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Araus, José Luis
Kefauver, Shawn C.
Zaman-Allah, Mainassara
Olsen, Mike S.
Cairns, Jill E.
Translating High-Throughput Phenotyping into Genetic Gain
title Translating High-Throughput Phenotyping into Genetic Gain
title_full Translating High-Throughput Phenotyping into Genetic Gain
title_fullStr Translating High-Throughput Phenotyping into Genetic Gain
title_full_unstemmed Translating High-Throughput Phenotyping into Genetic Gain
title_short Translating High-Throughput Phenotyping into Genetic Gain
title_sort translating high-throughput phenotyping into genetic gain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931794/
https://www.ncbi.nlm.nih.gov/pubmed/29555431
http://dx.doi.org/10.1016/j.tplants.2018.02.001
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