Machine Learning Approach for Prescriptive Plant Breeding

We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with a machine learning (ML) approach to provide plant breeders the tools to do both in-season seed yield (SY) prediction and prescriptive cultivar development for targeted agro-management practices (e.g., row spa...

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Detalles Bibliográficos
Autores principales: Parmley, Kyle A., Higgins, Race H., Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868245/
https://www.ncbi.nlm.nih.gov/pubmed/31748577
http://dx.doi.org/10.1038/s41598-019-53451-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868245/
https://www.ncbi.nlm.nih.gov/pubmed/31748577
http://dx.doi.org/10.1038/s41598-019-53451-4

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