Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data
© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com.
Détails bibliographiques
| Publié dans: | Journal of experimental botany. - 1985. - 74(2023), 17 vom: 13. Sept., Seite 5307-5326
|
| Auteur principal: |
Adak, Alper
(Auteur) |
| Autres auteurs: |
Kang, Myeongjong,
Anderson, Steven L,
Murray, Seth C,
Jarquin, Diego,
Wong, Raymond K W,
Katzfuß, Matthias |
| Format: | Article en ligne
|
| Langue: | English |
| Publié: |
2023
|
| Accès à la collection: | Journal of experimental botany
|
| Sujets: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, Non-U.S. Gov't
Genomic prediction
high-throughput genotyping
high-throughput phenotyping
phenomic prediction
plant breeding (corn)
time-dependent association |