Literature DB >> 31912573

Estimation of additive and non-additive genetic effects for fertility and reproduction traits in North American Holstein cattle using genomic information.

Kristen Alves1, Luiz F Brito1,2, Christine F Baes1, Mehdi Sargolzaei1, John Andrew B Robinson1, Flavio S Schenkel1.   

Abstract

Non-additive genetic effects are usually ignored in animal breeding programs due to data structure (e.g., incomplete pedigree), computational limitations and over-parameterization of the models. However, non-additive genetic effects may play an important role in the expression of complex traits in livestock species, such as fertility and reproduction traits. In this study, components of genetic variance for additive and non-additive genetic effects were estimated for a variety of fertility and reproduction traits in Holstein cattle using pedigree and genomic relationship matrices. Four linear models were used: (a) an additive genetic model; (b) a model including both additive and epistatic (additive by additive) genetic effects; (c) a model including both additive and dominance effects; and (d) a full model including additive, epistatic and dominance genetic effects. Nine fertility and reproduction traits were analysed, and models were run separately for heifers (N = 5,825) and cows (N = 6,090). For some traits, a larger proportion of phenotypic variance was explained by non-additive genetic effects compared with additive effects, indicating that epistasis, dominance or a combination thereof is of great importance. Epistatic genetic effects contributed more to the total phenotypic variance than dominance genetic effects. Although these models varied considerably in the partitioning of the components of genetic variance, the models including a non-additive genetic effect did not show a clear advantage over the additive model based on the Akaike information criterion. The partitioning of variance components resulted in a re-ranking of cows based solely on the cows' additive genetic effects between models, indicating that adjusting for non-additive genetic effects could affect selection decisions made in dairy cattle breeding programs. These results suggest that non-additive genetic effects play an important role in some fertility and reproduction traits in Holstein cattle.
© 2020 Blackwell Verlag GmbH.

Entities:  

Keywords:  breeding value; dominance; epistasis; heritability; non-additivity

Mesh:

Year:  2020        PMID: 31912573     DOI: 10.1111/jbg.12466

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


  5 in total

1.  Genomic dissection of repeatability considering additive and nonadditive genetic effects for semen production traits in beef and dairy bulls.

Authors:  Rintaro Nagai; Masashi Kinukawa; Toshio Watanabe; Atsushi Ogino; Kazuhito Kurogi; Kazunori Adachi; Masahiro Satoh; Yoshinobu Uemoto
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

2.  Genomic Prediction of Additive and Dominant Effects on Wool and Blood Traits in Alpine Merino Sheep.

Authors:  Shaohua Zhu; Hongchang Zhao; Mei Han; Chao Yuan; Tingting Guo; Jianbin Liu; Yaojing Yue; Guoyan Qiao; Tianxiang Wang; Fanwen Li; Shuangbao Gun; Bohui Yang
Journal:  Front Vet Sci       Date:  2020-11-11

3.  Robust modeling of additive and nonadditive variation with intuitive inclusion of expert knowledge.

Authors:  Ingeborg Gullikstad Hem; Maria Lie Selle; Gregor Gorjanc; Geir-Arne Fuglstad; Andrea Riebler
Journal:  Genetics       Date:  2021-03-31       Impact factor: 4.562

4.  Inbreeding depression across the genome of Dutch Holstein Friesian dairy cattle.

Authors:  Harmen P Doekes; Piter Bijma; Roel F Veerkamp; Gerben de Jong; Yvonne C J Wientjes; Jack J Windig
Journal:  Genet Sel Evol       Date:  2020-10-28       Impact factor: 4.297

5.  Genetic incompatibility of the reproductive partners: an evolutionary perspective on infertility.

Authors:  Jukka Kekäläinen
Journal:  Hum Reprod       Date:  2021-11-18       Impact factor: 6.918

  5 in total

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