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Article
Deep learning methods improve genomic prediction of wheat breeding
(Frontiers Media S.A., 2024)
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The use of unbalanced historical data for genomic selection in an international wheat breeding program
(Elsevier, 2013)
Genomic selection (GS) offers breeders the possibility of using historic data and unbalanced breeding trials to form training populations for predicting the performance of new lines. However, when using datasets that are ...
Article
Additive genetic variance and covariance between relatives in synthetic wheat crosses with variable parental ploidy levels
(Oxford University Press, 2021)
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Application of multi-trait Bayesian decision theory for parental genomic selection
(Genetics Society of America, 2021)
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Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs
(Crop Science Society of America (CSSA), 2020)
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