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

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 May 2021

Galán Rodrigo José, Bernal-Vasquez Angela-Maria, Jebsen Christian, Piepho Hans-Peter, Thorwarth Patrick, Steffan Philipp, Gordillo Andres, Miedaner Thomas

Abstract excerpt

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. The demand for sustainable sources of biomass is increasing worldwide. The early prediction of biomass via indirect selection of dry matter yield (DMY) based on hyperspectral...

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Biomass
Gene-Environment Interaction
Genome, Plant
Genomics
Plant Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Quantitative Trait Loci

Selection, Genetic

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PMID: 33630103
DOI: 10.1007/s00122-021-03779-1
PMCID: PMC8081675

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