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Translating high-throughput phenotyping into genetic gain

Author: Araus, J.L.
Author: Kefauver, S.C.
Author: Zaman-Allah, M.
Author: Olsen, M.
Author: Cairns, J.E.
Year: 2018
URI: https://hdl.handle.net/10883/19471
Abstract: 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: PDF
Language: English
Publisher: Elsevier
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Amsterdam, Netherlands
Pages: 451-466
Issue: 5
Volume: 23
DOI: 10.1016/j.tplants.2018.02.001
Keywords: Field Phenotyping
Keywords: High Throughput
Agrovoc: GENETIC GAIN
Agrovoc: FIELD EXPERIMENTATION
Agrovoc: REMOTE SENSING
Journal: Trends in Plant Science


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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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