Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material

KEY MESSAGE: Hyperspectral data is a promising complement to genomic data to predict biomass under scenarios of low genetic relatedness. Sufficient environmental connectivity between data used for model training and validation is required. ABSTRACT: The demand for sustainable sources of biomass is i...

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Detalles Bibliográficos
Autores principales: Galán, Rodrigo José, Bernal-Vasquez, Angela-Maria, Jebsen, Christian, Piepho, Hans-Peter, Thorwarth, Patrick, Steffan, Philipp, Gordillo, Andres, Miedaner, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081675/
https://www.ncbi.nlm.nih.gov/pubmed/33630103
http://dx.doi.org/10.1007/s00122-021-03779-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081675/
https://www.ncbi.nlm.nih.gov/pubmed/33630103
http://dx.doi.org/10.1007/s00122-021-03779-1

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