Now showing items 1-10 of 44
Importancia da biometria no melhoramento
Multi-trait, multi-environment genomic prediction of durum wheat with genomic best linear unbiased predictor and deep learning methods
Although durum wheat (Triticum turgidum var. durum Desf.) is a minor cereal crop representing just 5-7% of the world's total wheat crop, it is a staple food in Mediterranean countries, where it is used to produce pasta, ...
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, ...
Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny
(Genetics Society of America, 2020)
A review of deep learning applications for genomic selection
(BioMed Central, 2021)
Application of multi-trait Bayesian decision theory for parental genomic selection
(Genetics Society of America, 2021)
Positive interactions of major-effect QTLs with genetic background that enhances rice yield under drought
(Nature Publishing Group, 2018)