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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
A multivariate Poisson deep learning model for genomic prediction of count data
(Genetics Society of America, 2020)
Article
Origin specific genomic selection: a simple process to optimize the favorable contribution of parents to progeny
(Genetics Society of America, 2020)
Article
Bayesian multitrait kernel methods improve multienvironment genome-based prediction
(Oxford University Press, 2022)
Article
A zero altered Poisson random forest model for genomic-enabled prediction
(Genetics Society of America, 2021)
Article
Maximum a posteriori Threshold Genomic Prediction model for ordinal traits
(Genetics Society of America, 2020)
Genome-wide association study and QTL mapping reveal genomic loci associated with Fusarium ear rot resistance in tropical maize germplasm
(Genetics Society of America, 2016)
Fusarium ear rot (FER) incited by Fusarium verticillioides is a major disease of maize that reduces grain quality globally. Host resistance is the most suitable strategy for managing the disease. We report the results of ...
Article
An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction
(Genetics Society of America, 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 ...
Article
New deep learning genomic-based prediction model for multiple traits with binary, ordinal, and continuous phenotypes
(Genetics Society of America, 2019)
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between ...