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Mostrando ítems 1-10 de 21
Article
Article
Article
A review of deep learning applications for genomic selection
(BioMed Central, 2021)
Article
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
(Genetics Society of America, 2021)
Article
Article
A guide for kernel generalized regression methods for genomic-enabled prediction
(Springer Nature, 2021)
Article
Article
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
(Genetics Society of America, 2019)
In this paper we propose a Bayesian multi-output regressor stacking (BMORS) model that is a generalization of the multi-trait regressor stacking method. The proposed BMORS model consists of two stages: in the first stage, ...
Article
Deep kernel for genomic and near infrared predictions in multi-environment breeding trials
(Genetics Society of America, 2019)
Kernel methods are flexible and easy to interpret and have been successfully used in genomic-enabled prediction of various plant species. Kernel methods used in genomic prediction comprise the linear genomic best linear ...
Article
A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model
(Springer Nature, 2019)
Today, breeders perform genomic-assisted breeding to improve more than one trait. However, frequently there are several traits under study at one time, and the implementation of current genomic multiple-trait and ...