Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding

Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding

Genomic-enabled prediction is becoming increasingly important in animal and plant breeding and is also receiving attention in human genetics. Deriving accurate predictions of complex traits requires implementing whole-genome regression (WGR) models where phenotypes are regressed on thousands of markers concurrently. Methods exist that allow implementing these large-p with small-n regressions, a...

Random Regression in Animal Breeding

Genome Wide Association Studies, Next Generation Sequencing and Their Application in Animal Breeding and Genetics: A Review

Recently genetic studies have been revolutionized by next generation sequencing (NGS) technology, and it is expected that the use of this technology will largely eliminate defects in the methods of association studies. The NGS technology is becoming the premier tool in genetics. However, at the moment the use of this method is limited especially in the livestock due to high cost and computation...

Breeding and Genetics: Whole Genome Selection

The purpose of this study was to use the genomic relationship matrix (G) as an indicator of genotyping or other analysis problems in a single-step genomic evaluation procedure. Data was obtained from Cobb-Vantress and consisted of body weights for 183,784 broiler chickens over 3 generations with pedigrees on 186,222 animals. Of these animals 3,284 were genotyped for 57,636 SNP. Loci with no var...

Genomic breeding value prediction: methods and procedures.

Animal breeding faces one of the most significant changes of the past decades - the implementation of genomic selection. Genomic selection uses dense marker maps to predict the breeding value of animals with reported accuracies that are up to 0.31 higher than those of pedigree indexes, without the need to phenotype the animals themselves, or close relatives thereof. The basic principle is that ...