Area of research
Genetics · Plant Science
Research interest
Research interests include Genetic and phenotypic traits in livestock, Genetic Mapping and Diversity in Plants and Animals, Genetics and Plant Breeding, and Milk Quality and Mastitis in Dairy Cows.
Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle
Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction
Pathway-based genome-wide association analysis of milk coagulation properties, curd firmness, cheese yield, and curd nutrient recovery in dairy cattle
Priors in Whole-Genome Regression: The Bayesian Alphabet Returns
Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster
Genome-enabled prediction of genetic values using radial basis function neural networks
A Comprehensive Genetic Approach for Improving Prediction of Skin Cancer Risk in Humans
Accuracy of Genome-Enabled Prediction in a Dairy Cattle Population using Different Cross-Validation Layouts
Collaborative Research: Kinetics of Defect Phases Emerging from Nanoscale Interfaces
MRI: Development of an ultrafast, ultrasensitive, and high resolution direct electron detector for next-generation electron back-scattered diffraction of metallic and beam-sensitiv
EAGER: Controlling Microstructure for Strong and Damage Tolerant Nanocrystalline Metals
CAREER: Mechanics of Ultra-Strength Nanomaterials: Revealing Deformation Mechanisms
Materials World Network: Collaborative Research: Quantifying the Role of Impurities that Control Stress-Driven Grain Growth in Nanocrystalline Metals
Bayesian methods for structural equation models in quantitative genetics with applications to the study of mammary gland disease
Quantitative Genetic Analysis of Longitudinal Data Using Robust Bayesian Methods