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Mostrando ítems 1-10 de 26
Article
Genomic prediction enhanced sparse testing for multi-environment trials
(Genetics Society of America, 2020)
Article
Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm
(Genetics Society of America, 2020)
Article
A multivariate Poisson deep learning model for genomic prediction of count data
(Genetics Society of America, 2020)
Article
Maximum a posteriori Threshold Genomic Prediction model for ordinal traits
(Genetics Society of America, 2020)
Article
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
(Genetics Society of America, 2021)
Article
Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny
(Genetics Society of America, 2020)
Article
A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding
(Genetics Society of America, 2019)
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this ...
Article
Multi-environment genomic prediction of plant traits using deep learners with dense architecture
(Genetics Society of America, 2018)
Article
Bayesian multitrait kernel methods improve multienvironment genome-based prediction
(Oxford University Press, 2022)
Article
A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction
(Genetics Society of America, 2017)
When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait ...