selected publications
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article
- Phantom Epistasis in Genomic Selection: On the Predictive Ability of Epistatic Models.. G3-GENES GENOMES GENETICS. 10:3137-3145. 2020
- Regularized selection indices for breeding value prediction using hyper-spectral image data.. Scientific Reports. 10:8195. 2020
- Genetic image-processing using regularized selection indices. bioRxiv. 625251. 2020
- Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture.. Plant Methods. 14:46-46. 2018
- Use of Hyperspectral Image Data Outperforms Vegetation Indices in Prediction of Maize Yield. Crop Science. 57:2517-2524. 2017
- Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments. PLANT GENOME. 10:1-15. 2017
- Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids. Theoretical and Applied Genetics. 130:1431-1440. 2017
- Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data. Plant Methods. 13:4-4. 2017
- Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models. G3-GENES GENOMES GENETICS. 7:41-53. 2017
- Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models. PLANT GENOME. 9:1-20. 2016
- Extending the Marker × Environment Interaction Model for Genomic‐Enabled Prediction and Genome‐Wide Association Analysis in Durum Wheat. Crop Science. 56:2193-2209. 2016
- A Pedigree‐Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment Trials. Crop Science. 55:1143-1151. 2015
- Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model.. G3-GENES GENOMES GENETICS. 5:569-582. 2015
- Threshold models for genome-enabled prediction of ordinal categorical traits in plant breeding.. G3-GENES GENOMES GENETICS. 5:291-300. 2015
- A reaction norm model for genomic selection using high-dimensional genomic and environmental data. Theoretical and Applied Genetics. 127:595-607. 2014
- Genomic Prediction in Maize Breeding Populations with Genotyping-by-Sequencing. G3-GENES GENOMES GENETICS. 3:1903-1926. 2013
- Genome-enabled prediction using the BLR (Bayesian Linear Regression) R-package. Methods of Molecular Biology. 1019:299-320. 2013
- Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs. Crop Science. 52:654-663. 2012
- Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers. Crop Science. 52:707-719. 2012
- Genomic selection and prediction in plant breeding. Journal of Crop Improvement. 25:239-261. 2011
- Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers. Genetics. 186:713-724. 2010
- Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R. PLANT GENOME. 3:106-116. 2010
- Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genetics Research. 92:295-308. 2010
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review
- Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. Trends in Plant Science. 961-975. 2017