Open AccessBiometrical Models for Predicting Future Performance in Plant Breeding.
Author(s) -
Mónica Balzarini
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_disstheses.7178
Subject(s) - best linear unbiased prediction , selection (genetic algorithm) , statistics , predictive modelling , mixed model , cross validation , random effects model , breeding program , mathematics , biology , computer science , machine learning , cultivar , medicine , agronomy , meta analysis