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Mostrando ítems 1-10 de 11
Article
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
(Genetics Society of America, 2023)
Article
Genomic-enabled prediction with classification algorithms
(Springer Nature, 2014)
Pearson’s correlation coefficient (ρ) is the most commonly reported metric of the success of prediction in genomic selection (GS). However, in real breeding ρ may not be very useful for assessing the quality of the regression ...
Article
Article
Article
Response to early generation genomic selection for yield in wheat
(Frontiers, 2022)
Article
Genome-enabled prediction using probabilistic neural network classifiers
(BioMed Central, 2016)
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Article
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
Application of multi-trait Bayesian decision theory for parental genomic selection
(Genetics Society of America, 2021)
Article
Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data
(John Wiley & Sons Inc., 2022)