Regularized selection indices for breeding value prediction using hyper-spectral image data

High-throughput phenotyping (HTP) technologies can produce data on thousands of phenotypes per unit being monitored. These data can be used to breed for economically and environmentally relevant traits (e.g., drought tolerance); however, incorporating high-dimensional phenotypes in genetic analyses...

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Detalles Bibliográficos
Autores principales: Lopez-Cruz, Marco, Olson, Eric, Rovere, Gabriel, Crossa, Jose, Dreisigacker, Susanne, Mondal, Suchismita, Singh, Ravi, Campos, Gustavo de los
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235263/
https://www.ncbi.nlm.nih.gov/pubmed/32424224
http://dx.doi.org/10.1038/s41598-020-65011-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235263/
https://www.ncbi.nlm.nih.gov/pubmed/32424224
http://dx.doi.org/10.1038/s41598-020-65011-2

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