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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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Detalles Bibliográficos
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
Descripción
Sumario: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.