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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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| Publicado no: | Theor Appl Genet |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8081675/ https://ncbi.nlm.nih.gov/pubmed/33630103 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00122-021-03779-1 |
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