Literature DB >> 29385480

Genotype × prenatal and post-weaning nutritional environment interaction in a composite beef cattle breed using reaction norms and a multi-trait model.

El Hamidi Hay1, Andy Roberts1.   

Abstract

Environmental effects have been shown to influence several economically important traits in beef cattle. In this study, genotype × nutritional environment interaction has been evaluated in a composite beef cattle breed (50% Red Angus, 25% Charolais, 25% Tarentaise). Four nutritional environments (marginal-restricted [MARG-RES], marginal-control [MARG-CTRL], adequate-restricted [ADEQ-RES], and adequate-control [ADEQ-CTRL]) were created based on two levels of winter supplement provided to dams grazing winter range during gestation (MARG and ADEQ) and two levels of input to offspring during post-weaning development (RES and CTRL). Genetic parameters of average daily gain (ADG) during the 140-d post-wean trial, yearling weight (YW), and ultrasound measurement of fat depth (FAT) at the 12th rib and intramuscular fat percentage (IMF) of 3,020 individuals in the four environments were estimated. The heritabilities estimated using a single trait mixed linear model were: ADG: 0.21, 0.23, 0.19 and 0.21; YW: 0.27, 0.33, 0.20 and 0.26; FAT: 0.30, 0.29, 0.29, 0.55; IMF: 0.45, 0.51, 0.33, 0.53 for MARG-RES, ADEQ-RES, MARG-CTRL and ADEQ-CTRL, respectively. The extent of genotype × environment interaction was modeled using two separate methods: reaction norms and multi-trait models. The genetic correlations were estimated using a multi-trait model for ADG, YW, FAT and IMF. Growth traits (ADG, YW) and FAT showed correlations less than 0.80 across the four different environments indicating genotype by environment interaction. For example, genetic correlation for ADG between MARG-CTRL and MARG-RES was 0.65 and 0.73 between ADEQ-RES and MARG-RES. In this example, the former genetic correlation corresponds to differences in post-weaning nutritional environment, and the later represents a nutritional difference imposed on dams (i.e., prenatal environment), potentially mediated via fetal programming. The reaction norm model results were in concordance with the multi-trait model, genotype by environment interaction had a higher effect on traits with a lower heritability.

Entities:  

Mesh:

Year:  2018        PMID: 29385480      PMCID: PMC6140986          DOI: 10.1093/jas/skx057

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  24 in total

1.  Genotype x environment interaction for protein yield in Dutch dairy cattle as quantified by different models.

Authors:  M P L Calus; A F Groen; G de Jong
Journal:  J Dairy Sci       Date:  2002-11       Impact factor: 4.034

2.  Genotype x environment interaction for milk production of daughters of Australian dairy sires from test-day records.

Authors:  B J Hayes; M Carrick; P Bowman; M E Goddard
Journal:  J Dairy Sci       Date:  2003-11       Impact factor: 4.034

3.  Genetic parameters for carcass traits and their live animal indicators in Simmental cattle.

Authors:  D H Crews; E J Pollak; R L Weaber; R L Quaas; R J Lipsey
Journal:  J Anim Sci       Date:  2003-06       Impact factor: 3.159

4.  Effects of genotype x environment interaction on genetic gain in breeding programs.

Authors:  H A Mulder; P Bijma
Journal:  J Anim Sci       Date:  2005-01       Impact factor: 3.159

5.  Phenotypic and genetic parameters for different measures of feed efficiency in different breeds of Irish performance-tested beef bulls.

Authors:  J J Crowley; M McGee; D A Kenny; D H Crews; R D Evans; D P Berry
Journal:  J Anim Sci       Date:  2009-12-04       Impact factor: 3.159

6.  Genetic parameter estimates for carcass and yearling ultrasound measurements in Brangus cattle.

Authors:  D W Moser; J K Bertrand; I Misztal; L A Kriese; L L Benyshek
Journal:  J Anim Sci       Date:  1998-10       Impact factor: 3.159

7.  Effects of sex and age on genotype x environment interaction for beef cattle body weight studied using reaction norm models.

Authors:  N T Pegolo; L G Albuquerque; R B Lôbo; H N de Oliveira
Journal:  J Anim Sci       Date:  2011-07-01       Impact factor: 3.159

8.  Reaction norms for the study of genotype-environment interaction for growth and indicator traits of sexual precocity in Nellore cattle.

Authors:  M V A Lemos; H L J Chiaia; M P Berton; F L B Feitosa; C Aboujaoude; G C Venturini; H N Oliveira; L G Albuquerque; F Baldi
Journal:  Genet Mol Res       Date:  2015-06-29

9.  TRIENNIAL REPRODUCTION SYMPOSIUM: Beef heifer development and lifetime productivity in rangeland-based production systems.

Authors:  A J Roberts; R N Funston; E E Grings; M K Petersen
Journal:  J Anim Sci       Date:  2016-07       Impact factor: 3.159

10.  Genetic analysis of heat stress effects on yield traits, udder health, and fatty acids of Walloon Holstein cows.

Authors:  H Hammami; J Vandenplas; M-L Vanrobays; B Rekik; C Bastin; N Gengler
Journal:  J Dairy Sci       Date:  2015-05-07       Impact factor: 4.034

View more
  2 in total

1.  The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs.

Authors:  Hailiang Song; Qin Zhang; Xiangdong Ding
Journal:  J Anim Sci Biotechnol       Date:  2020-08-19

2.  Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goals.

Authors:  Henrique Alberto Mulim; Luiz F Brito; Luís Fernando Batista Pinto; José Bento Sterman Ferraz; Lais Grigoletto; Marcio Ribeiro Silva; Victor Breno Pedrosa
Journal:  BMC Genomics       Date:  2022-03-16       Impact factor: 3.969

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.