Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices.
Sign Up to like & getrecommendations! Published in 2021 at "Heredity"
DOI: 10.1038/s41437-021-00474-1
Abstract: Genomic prediction models are often calibrated using multi-generation data. Over time, as data accumulates, training data sets become increasingly heterogeneous. Differences in allele frequency and linkage disequilibrium patterns between the training and prediction genotypes may… read more here.
Keywords: sparse selection; genomic prediction; multi generation; non parametric ... See more keywords