Literature DB >> 24974900

Genomic additive and dominance variance of milk performance traits.

D Wittenburg1, N Melzer, N Reinsch.   

Abstract

Milk performance traits are likely influenced by both additive and non-additive (e.g. dominance) genetic effects. Genetic variation can be partitioned using genomic information. The objective of this study was to estimate genetic variance components of production and milk component traits (e.g. acetone, fatty acids), which are particularly important for milk processing or which can provide information on the health status of cows. A genomic relationship approach was applied to phenotypic and genetic information of 1295 Holstein cows for estimating additive genetic and dominance variance components. Most of the 17 investigated traits were mainly affected by additive genetic effects, but protein content and casein content also showed a significant contribution of dominance. The ratio of dominance to additive variance was estimated as 0.64 for protein content and 0.56 for casein content. This ratio was highest for SCS (1.36) although dominance was not significant. Dominance effects were negligible in other moderately heritable milk traits.
© 2014 Blackwell Verlag GmbH.

Entities:  

Keywords:  Genetic variance; Holstein cow; genomic relationship; single nucleotide polymorphisms

Mesh:

Substances:

Year:  2014        PMID: 24974900     DOI: 10.1111/jbg.12103

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  4 in total

1.  Genomic prediction of crossbred performance based on purebred Landrace and Yorkshire data using a dominance model.

Authors:  Hadi Esfandyari; Piter Bijma; Mark Henryon; Ole Fredslund Christensen; Anders Christian Sørensen
Journal:  Genet Sel Evol       Date:  2016-06-08       Impact factor: 4.297

2.  Dissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle.

Authors:  Jicai Jiang; Botong Shen; Jeffrey R O'Connell; Paul M VanRaden; John B Cole; Li Ma
Journal:  BMC Genomics       Date:  2017-05-30       Impact factor: 3.969

3.  The contribution of dominance to phenotype prediction in a pine breeding and simulated population.

Authors:  J E de Almeida Filho; J F R Guimarães; F F E Silva; M D V de Resende; P Muñoz; M Kirst; M F R Resende
Journal:  Heredity (Edinb)       Date:  2016-04-27       Impact factor: 3.821

4.  Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits.

Authors:  Hassan Aliloo; Jennie E Pryce; Oscar González-Recio; Benjamin G Cocks; Ben J Hayes
Journal:  Genet Sel Evol       Date:  2016-02-01       Impact factor: 4.297

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.