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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science, Ltd
2018
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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. |
format | Online Article Text |
id | pubmed-5931794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier Science, Ltd |
record_format | MEDLINE/PubMed |
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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