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Article
Genomic prediction with genotype by environment interaction analysis for kernel zinc concentration in tropical maize germplasm
(Genetics Society of America, 2020)
Article
Genomic prediction enhanced sparse testing for multi-environment trials
(Genetics Society of America, 2020)
Article
Maximum a posteriori Threshold Genomic Prediction model for ordinal traits
(Genetics Society of America, 2020)
Article
A multivariate Poisson deep learning model for genomic prediction of count data
(Genetics Society of America, 2020)
Article
A zero altered Poisson random forest model for genomic-enabled prediction
(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 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 ...
Article
Increased prediction accuracy in wheat breeding trials using a marker x environment interaction Genomic Selection model
(Genetics Society of America, 2015)
Genomic selection (GS) models use genome-wide genetic information to predict genetic values of candidates of selection. Originally, these models were developed without considering genotype · environment interaction( G·E). ...
Article
A genomic selection index applied to simulated and real data
(Genetics Society of America, 2015)
A genomic selection index (GSI) is a linear combination of genomic estimated breeding values that uses genomic markers to predict the net genetic merit and select parents from a nonphenotyped testing population. Some authors ...
Article
Genomic prediction in maize breeding populations with genotyping-by sequencing
(Genetics Society of America, 2013)
Genotyping-by-sequencing (GBS) technologies have proven capacity for delivering large numbers of marker genotypes with potentially less ascertainment bias than standard single nucleotide polymorphism (SNP) arrays. Therefore, ...