Assessment of genetic heterogeneity in structured plant populations using multivariate whole-genome regression models

Keyphrases

• A-genome 25%
• Animal Breeding 25%
• Best Linear Unbiased Prediction 25%
• Breeding Population 50%
• Diversity Panel 25%
• Genetic Distance 25%
• Genetic Heterogeneity 100%
• Genomic Best Linear Unbiased Prediction (GBLUP) 75%
• Genomic Correlation 25%
• Half-sib 25%
• Maize(Zea mays L.) 25%
• Marker Effects 50%
• Multibreed 25%
• Multigroup Data 25%
• Multivariate Methods 75%
• Multivariate Model 25%
• Oryza Sativa 25%
• Plant Breeding 100%
• Plant Population 100%
• Population Stratification 25%
• Population Structure 75%
• Potential Confounders 25%
• Prediction Accuracy 25%
• Predictive Power 25%
• Regression Model 100%
• Rice 25%
• Stratified Approach 25%
• Triticum Aestivum 25%
• Wheat Triticum Aestivum 25%
• Whole-genome Regression 100%
• Within-group 25%

Biochemistry, Genetics and Molecular Biology

• Breeding 33%
• Genetic Distance 33%
• Genetic Heterogeneity 100%
• Genomics 33%
• Oryza 33%
• Population Structure 100%
• Zea 33%