Literature DB >> 23962210

Genomic selection: Status in different species and challenges for breeding.

K F Stock1, R Reents.   

Abstract

Technical advances and development in the market for genomic tools have facilitated access to whole-genome data across species. Building-up on the acquired knowledge of the genome sequences, large-scale genotyping has been optimized for broad use, so genotype information can be routinely used to predict genetic merit. Genomic selection (GS) refers to the use of aggregates of estimated marker effects as predictors which allow improved individual differentiation at young age. Realizable benefits of GS are influenced by several factors and vary in quantity and quality between species. General characteristics and challenges of GS in implementation and routine application are described, followed by an overview over the current status of its use, prospects and challenges in important animal species. Genetic gain for a particular trait can be enhanced by shortening of the generation interval, increased selection accuracy and increased selection intensity, with species- and breed-specific relevance of the determinants. Reliable predictions based on genetic marker effects require assembly of a reference for linking of phenotype and genotype data to allow estimation and regular re-estimation. Experiences from dairy breeding have shown that international collaboration can set the course for fast and successful implementation of innovative selection tools, so genomics may significantly impact the structures of future breeding and breeding programmes. Traits of great and increasing importance, which were difficult to improve in the conventional systems, could be emphasized, if continuous availability of high-quality phenotype data can be assured. Equally elaborate strategies for genotyping and phenotyping will allow tailored approaches to balance efficient animal production, sustainability, animal health and welfare in future.
© 2013 Blackwell Verlag GmbH.

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Year:  2013        PMID: 23962210     DOI: 10.1111/rda.12201

Source DB:  PubMed          Journal:  Reprod Domest Anim        ISSN: 0936-6768            Impact factor:   2.005


  8 in total

1.  Single-step genomic evaluation of Russian dairy cattle using internal and external information.

Authors:  Andrei A Kudinov; Esa A Mäntysaari; Timo J Pitkänen; Ekaterina I Saksa; Gert P Aamand; Pekka Uimari; Ismo Strandén
Journal:  J Anim Breed Genet       Date:  2021-11-28       Impact factor: 3.271

2.  The effect of rare alleles on estimated genomic relationships from whole genome sequence data.

Authors:  Sonia E Eynard; Jack J Windig; Grégoire Leroy; Rianne van Binsbergen; Mario P L Calus
Journal:  BMC Genet       Date:  2015-03-12       Impact factor: 2.797

3.  De Novo Assembly of the Donkey White Blood Cell Transcriptome and a Comparative Analysis of Phenotype-Associated Genes between Donkeys and Horses.

Authors:  Feng-Yun Xie; Yu-Long Feng; Hong-Hui Wang; Yun-Feng Ma; Yang Yang; Yin-Chao Wang; Wei Shen; Qing-Jie Pan; Shen Yin; Yu-Jiang Sun; Jun-Yu Ma
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

4.  Improving accuracy of genomic prediction by genetic architecture based priors in a Bayesian model.

Authors:  Ning Gao; Jiaqi Li; Jinlong He; Guang Xiao; Yuanyu Luo; Hao Zhang; Zanmou Chen; Zhe Zhang
Journal:  BMC Genet       Date:  2015-10-14       Impact factor: 2.797

5.  Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs.

Authors:  Sonia E Eynard; Pascal Croiseau; Denis Laloë; Sebastien Fritz; Mario P L Calus; Gwendal Restoux
Journal:  G3 (Bethesda)       Date:  2018-01-04       Impact factor: 3.154

Review 6.  Toward Genome-Based Selection in Asian Seabass: What Can We Learn From Other Food Fishes and Farm Animals?

Authors:  László Orbán; Xueyan Shen; Norman Phua; László Varga
Journal:  Front Genet       Date:  2021-04-21       Impact factor: 4.599

7.  Genetic polymorphisms of PKLR gene and their associations with milk production traits in Chinese Holstein cows.

Authors:  Aixia Du; Fengru Zhao; Yanan Liu; Lingna Xu; Kewei Chen; Dongxiao Sun; Bo Han
Journal:  Front Genet       Date:  2022-09-02       Impact factor: 4.772

8.  Recent development of allele frequencies and exclusion probabilities of microsatellites used for parentage control in the German Holstein Friesian cattle population.

Authors:  Bertram Brenig; Ekkehard Schütz
Journal:  BMC Genet       Date:  2016-01-08       Impact factor: 2.797

  8 in total

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