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Mostrando ítems 1-10 de 17
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
lme4GS: an R-Package for Genomic Selection
(Frontiers, 2021)
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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)
Article
Genomic prediction in CIMMYT maize and wheat breeding programs
(Springer Nature, 2014)
Genomic selection (GS) has been implemented in animal and plant species, and is regarded as a useful tool for accelerating genetic gains. Varying levels of genomic prediction accuracy have been obtained in plants, depending ...
Article
Application of multi-trait Bayesian decision theory for parental genomic selection
(Genetics Society of America, 2021)
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A review of deep learning applications for genomic selection
(BioMed Central, 2021)