Blar i Brage NMBU på forfatter "Montesinos-Lopez, Abelardo"
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A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Montesinos-Lopez, Osval A.; Montesinos-Lopez, Abelardo; Crossa, Jose; Cuevas, Jaime; Montesinos-Lopez, Jose C.; Zitlalli, Salas Gutierrez; Lillemo, Morten; Philomin, Juliana; Singh, Ravi P. (Peer reviewed; Journal article, 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, ... -
Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding
Montesinos-Lopez, Osval A.; Gonzales, Henry Nicole; Montesinos-Lopez, Abelardo; Daza-Torres, Maria; Lillemo, Morten; Montesinos-Lopez, Jose Cricelio; Crossa, Jose (Peer reviewed; Journal article, 2022) -
Partial Least Squares Enhances Genomic Prediction of New Environments
Montesinos-Lopez, Osval A.; Montesinos-Lopez, Abelardo; Kismiantini, Kismiantini; Roman-Gallardo, Armando; Gardner, Keith; Lillemo, Morten; Fritsche-Neto, Roberto; Crossa, Jose (Peer reviewed; Journal article, 2022) -
An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-based Prediction
Montesinos-Lopez, Osval A.; Montesinos-Lopez, Abelardo; Luna-Vazquez, Francisco Javier; Toledo, Fernando H.; Perez-Rodriguez, Paulino; Lillemo, Morten; Crossa, Jose (Peer reviewed; Journal article, 2019)Evidence that genomic selection (GS) is a technology that is revolutionizing plant breeding continues to grow. However, it is very well documented that its success strongly depends on statistical models, which are used by ...