Author:
GODDARD MICHAEL E.,HAYES BEN J.,MEUWISSEN THEO H. E.
Abstract
SummaryMost traits of economic importance in livestock are either quantitative or complex. Despite considerable efforts, there has been only limited success in identifying the polymorphisms that cause variation in these traits. Nevertheless, selection based on estimated breeding values (BVs), calculated from data on phenotypic performance and pedigree has been very successful. Genomic tools, such as single nucleotide polymorphism (SNP) chips, have led to a new method of selection called ‘genomic selection’ in which dense SNP genotypes covering the genome are used to predict the BV. In this review we consider the statistical methodology for estimating BVs from SNP data, factors affecting the accuracy, the long-term response to genomic selection and the design of breeding programmes including the management of inbreeding.
Subject
Genetics,General Medicine
Reference57 articles.
1. Bayesian LASSO for Quantitative Trait Loci Mapping
2. Common SNPs explain a large proportion of the heritability for human height
3. Prediction of individual genetic risk to disease from genome-wide association studies
4. Wiggans G. , Cooper T. , VanRaden P. & Silva M. (2010). Increased reliability of genetic evaluations for dairy cattle in the United States from use of genomic information. In Proceedings of the Ninth World Congress in Genetics Applied to Livestock Production, Electronic communication 476.
5. Genetic Change in Milk Yield Estimated from Simultaneous Genetic Evaluation of Bulls and Cows
Cited by
88 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献