Translating high-throughput phenotyping into genetic gain

dc.creatorAraus, J.L.
dc.creatorKefauver, S.C.
dc.creatorZaman-Allah, M.
dc.creatorOlsen, M.
dc.creatorCairns, J.E.
dc.date2018-05-23T17:11:32Z
dc.date2018-05-23T17:11:32Z
dc.date2018
dc.date.accessioned2023-07-17T20:02:37Z
dc.date.available2023-07-17T20:02:37Z
dc.identifierhttps://hdl.handle.net/10883/19471
dc.identifier10.1016/j.tplants.2018.02.001
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7511363
dc.descriptionInability 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.
dc.description451-466
dc.formatPDF
dc.languageEnglish
dc.publisherElsevier
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dc.rightsOpen Access
dc.source5
dc.source23
dc.sourceTrends in Plant Science
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectField Phenotyping
dc.subjectHigh Throughput
dc.subjectGENETIC GAIN
dc.subjectFIELD EXPERIMENTATION
dc.subjectREMOTE SENSING
dc.titleTranslating high-throughput phenotyping into genetic gain
dc.typeArticle
dc.coverageAmsterdam, Netherlands


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