Literature DB >> 25240721

Multi-trait linear reaction norm model to describe the pattern of phenotypic expression of some economic traits in beef cattle across a range of environments.

Mário Luiz Santana1, Joanir Pereira Eler, Annaiza Braga Bignardi, Alberto Menéndez-Buxadera, Fernando Flores Cardoso, José Bento Sterman Ferraz.   

Abstract

The multi-trait reaction norm (MTRN) model was extended to beef cattle reared under tropical conditions with the following objectives: to compare multi-trait (MT) and MTRN models regarding the genetic parameters obtained; and to characterize G × E, the pattern of phenotypic expression, and the environmental sensitivity of animals for postweaning weight gain (PWG), scrotal circumference (SC), and annual average productivity of the cow (PRODAM). There was divergence in the estimates between the MT and MTRN models when the posterior probability intervals of additive genetic variances and heritability coefficients of PWG and PRODAM were analyzed. The MTRN model indicated an increase in heritability for PWG and PRODAM with improvement of the environmental conditions. For SC, heritability was practically the same, irrespective of the environmental conditions. The genetic correlations between the traits studied were low but varied over environments by the MTRN model. Considering genetic correlations obtained by the MTRN model for the same trait, lower estimates were obtained between extreme favorable and unfavorable environments. This finding suggest re-ranking of breeding values in different environments mainly for PWG and PRODAM. Thus, G × E is more important for PWG and PRODAM than for SC and should be included in the genetic evaluation of these traits. The traits PWG and PRODAM can be considered plastic traits, whereas SC is poorly plastic. The genetic trends in individual animal slopes indicate that the population is moving towards greater plasticity. This could be a matter of concern for breeders since greater plasticity seems to limit heritability and, consequently, the responses to selection.

Entities:  

Mesh:

Year:  2014        PMID: 25240721     DOI: 10.1007/s13353-014-0242-9

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  13 in total

1.  Additive genetic relationships between heifer pregnancy and scrotal circumference in Nellore cattle.

Authors:  J P Eler; J A V Silva; J L Evans; J B S Ferraz; F Dias; B L Golden
Journal:  J Anim Sci       Date:  2004-09       Impact factor: 3.159

2.  Linear reaction norm models for genetic merit prediction of Angus cattle under genotype by environment interaction.

Authors:  F F Cardoso; R J Tempelman
Journal:  J Anim Sci       Date:  2012-01-13       Impact factor: 3.159

3.  Genetic correlations between milk production and health and fertility depending on herd environment.

Authors:  J J Windig; M P L Calus; B Beerda; R F Veerkamp
Journal:  J Dairy Sci       Date:  2006-05       Impact factor: 4.034

4.  Evolution of phenotypic plasticity: where are we going now?

Authors:  Massimo Pigliucci
Journal:  Trends Ecol Evol       Date:  2005-06-13       Impact factor: 17.712

5.  Developmental instability is genetically correlated with phenotypic plasticity, constraining heritability, and fitness.

Authors:  Stephen J Tonsor; Tarek W Elnaccash; Samuel M Scheiner
Journal:  Evolution       Date:  2013-07-03       Impact factor: 3.694

6.  Genotype × environment interaction for long-yearling weight in Canchim cattle quantified by reaction norm analysis.

Authors:  M Mattar; L O C Silva; M M Alencar; F F Cardoso
Journal:  J Anim Sci       Date:  2011-03-18       Impact factor: 3.159

7.  Simultaneous estimation of genotype by environment interaction accounting for discrete and continuous environmental descriptors in Irish dairy cattle.

Authors:  J J Windig; H A Mulder; D I Bohthe-Wilhelmus; R F Veerkamp
Journal:  J Dairy Sci       Date:  2011-06       Impact factor: 4.034

8.  Genetic analysis of average annual productivity of Nellore breeding cows (COWPROD).

Authors:  J P Eler; J B S Ferraz; J C C Balieiro; E C Mattos
Journal:  Genet Mol Res       Date:  2008-03-11

9.  Genotype by environment interaction for 450-day weight of Nelore cattle analyzed by reaction norm models.

Authors:  Newton T Pégolo; Henrique N Oliveira; Lúcia G Albuquerque; Luiz Antonio F Bezerra; Raysildo B Lôbo
Journal:  Genet Mol Biol       Date:  2009-06-01       Impact factor: 1.771

10.  Response to mass selection when the genotype by environment interaction is modelled as a linear reaction norm.

Authors:  Rebecka Kolmodin; Piter Bijma
Journal:  Genet Sel Evol       Date:  2004 Jul-Aug       Impact factor: 4.297

View more
  4 in total

1.  Random regression of Hereford percentage intramuscular fat on geographical coordinates.

Authors:  Jose S Delgadillo Liberona; John M Langdon; Andy D Herring; Harvey D Blackburn; Scott E Speidel; Stacy Sanders; David G Riley
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

2.  Evaluation of the sensitivity of pulmonary arterial pressure to elevation using a reaction norm model in Angus Cattle.

Authors:  Scott E Speidel; Milton G Thomas; Timothy N Holt; R Mark Enns
Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

3.  Weak genotype x environment interaction suggests that measuring scrotal circumference at 12 and 18 mo of age is helpful to select precocious Brahman cattle.

Authors:  Bárbara M Nascimento; Roberto Carvalheiro; Rodrigo de A Teixeira; Laila T Dias; Marina R S Fortes
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

4.  Different selection practices affect the environmental sensitivity of beef cattle.

Authors:  Anielly de Paula Freitas; Mário Luiz Santana Júnior; Flavio Schramm Schenkel; Maria Eugênia Zerlotti Mercadante; Joslaine Noely Dos Santos Goncalves Cyrillo; Claudia Cristina Paro de Paz
Journal:  PLoS One       Date:  2021-04-02       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.