Genotype-by-environment interactions for feed efficiency traits in Nellore cattle based on bi-trait reaction norm models

被引:4
|
作者
Neto, Joao B. Silva [1 ]
Mota, Lucio F. M. [1 ]
Amorim, Sabrina T. [2 ]
Peripolli, Elisa [3 ]
Brito, Luiz F. [4 ]
Magnabosco, Claudio U. [5 ]
Baldi, Fernando [1 ]
机构
[1] Sao Paulo State Univ UNESP, Sch Agr & Veterinarian Sci FCAV, Dept Anim Sci, BR-14884900 Jaboticabal, SP, Brazil
[2] Virginia Polytech Inst & State Univ, Sch Anim Sci, Blacksburg, VA 24061 USA
[3] Univ Sao Paulo, Sch Vet Med & Anim Sci, BR-13635900 Pirassununga, SP, Brazil
[4] Purdue Univ, Dept Anim Sci, W Lafayette, IN 47907 USA
[5] Embrapa Rice & Beans, GO 462,km12, BR-75375000 Santo Antonio De Goias, GO, Brazil
基金
巴西圣保罗研究基金会;
关键词
PHENOTYPIC PLASTICITY; SCROTAL CIRCUMFERENCE; GENETIC-PARAMETERS; WEIGHT-GAIN; SELECTION; GROWTH; SCORE;
D O I
10.1186/s12711-023-00867-2
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
BackgroundSelecting animals for feed efficiency directly impacts the profitability of the beef cattle industry, which contributes to minimizing the environmental footprint of beef production. Genetic and environmental factors influence animal feed efficiency, leading to phenotypic variability when exposed to different environmental conditions (i.e., temperature and nutritional level). Thus, our aim was to assess potential genotype-by-environment (G x E) interactions for dry matter intake (DMI) and residual feed intake (RFI) in Nellore cattle (Bos taurus indicus) based on bi-trait reaction norm models (RN) and evaluate the genetic association between RFI and DMI across different environmental gradient (EG) levels. For this, we used phenotypic information on 12,958 animals (young bulls and heifers) for DMI and RFI recorded during 158 feed efficiency trials.ResultsThe heritability estimates for DMI and RFI across EG ranged from 0.26 to 0.54 and from 0.07 to 0.41, respectively. The average genetic correlations (+/- standard deviation) across EG for DMI and RFI were 0.83 +/- 0.19 and 0.81 +/- 0.21, respectively, with the lowest genetic correlation estimates observed between extreme EG levels (low vs. high) i.e. 0.22 for RFI and 0.26 for DMI, indicating the presence of G x E interactions. The genetic correlation between RFI and DMI across EG levels decreased as the EG became more favorable and ranged from 0.79 (lowest EG) to 0.52 (highest EG). Based on the estimated breeding values from extreme EG levels (low vs. high), we observed a moderate Spearman correlation of 0.61 (RFI) and 0.55 (DMI) and a selection coincidence of 53.3% and 40.0% for RFI and DMI, respectively.ConclusionsOur results show evidence of G x E interactions on feed efficiency traits in Nellore cattle, especially in feeding trials with an average daily gain (ADG) that is far from the expected of 1 kg/day, thus increasing reranking of animals.
引用
收藏
页数:12
相关论文
共 25 条
  • [1] Genomic reaction norm models exploiting genotype x environment interaction on sexual precocity indicator traits in Nellore cattle
    Mota, L. F. M.
    Fernandes, G. A., Jr.
    Herrera, A. C.
    Scalez, D. C. B.
    Espigolan, R.
    Magalhaes, A. F. B.
    Carvalheiro, R.
    Baldi, F.
    Albuquerque, L. G.
    ANIMAL GENETICS, 2020, 51 (02) : 210 - 223
  • [2] Genotype x environment interaction for weaning weight in Nellore cattle using reaction norm analysis
    Ribeiro, S.
    Eler, J. P.
    Pedrosa, V. B.
    Rosa, G. J. M.
    Ferraz, J. B. S.
    Balieiro, J. C. C.
    LIVESTOCK SCIENCE, 2015, 176 : 40 - 46
  • [3] Heteroscedastic Reaction Norm Models Improve the Assessment of Genotype by Environment Interaction for Growth, Reproductive, and Visual Score Traits in Nellore Cattle
    Filho, Ivan Carvalho
    Silva, Delvan A.
    Teixeira, Caio S.
    Silva, Thales L.
    Mota, Lucio F. M.
    Albuquerque, Lucia G.
    Carvalheiro, Roberto
    ANIMALS, 2022, 12 (19):
  • [4] Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model
    Zhang, Zhe
    Kargo, Morten
    Liu, Aoxing
    Thomasen, Jorn Rind
    Pao, Yuchun
    Su, Guosheng
    HEREDITY, 2019, 123 (02) : 202 - 214
  • [5] Genotype by environment interaction for yearling weight in Nellore cattle applying reaction norms models
    Ribeiro, S.
    Eler, J. P.
    Pedrosa, V. B.
    Rosa, G. J. M.
    Ferraz, J. B. S.
    Balieiro, J. C. C.
    ANIMAL PRODUCTION SCIENCE, 2018, 58 (11) : 1996 - 2002
  • [6] Reaction norms for the study of genotype-environment interaction for growth and indicator traits of sexual precocity in Nellore cattle
    Lemos, M. V. A.
    Chiaia, H. L. J.
    Berton, M. P.
    Feitosa, F. L. B.
    Aboujaoude, C.
    Venturini, G. C.
    Oliveira, H. N.
    Albuquerque, L. G.
    Baldi, F.
    GENETICS AND MOLECULAR RESEARCH, 2015, 14 (02) : 7151 - 7162
  • [7] Multiple trait breeding programs with genotype-by-environment interactions based on reaction norms, with application to genetic improvement of disease resilience
    Dekkers, Jack C. M.
    GENETICS SELECTION EVOLUTION, 2021, 53 (01)
  • [8] Genotype-by-environment interaction in Holstein heifer fertility traits using single-step genomic reaction norm models
    Shi, Rui
    Brito, Luiz Fernando
    Liu, Aoxing
    Luo, Hanpeng
    Chen, Ziwei
    Liu, Lin
    Guo, Gang
    Mulder, Herman
    Ducro, Bart
    van der Linden, Aart
    Wang, Yachun
    BMC GENOMICS, 2021, 22 (01)
  • [9] Genotype x environment interaction via models of reaction norms for growth traits in Nelore cattle
    Ambrosini, Diego Pagung
    Mendes Malhado, Carlos Henrique
    Martins Filho, Raimundo
    Souza Carneiro, Paulo Luiz
    PESQUISA AGROPECUARIA BRASILEIRA, 2016, 51 (02) : 177 - 186
  • [10] Genotype by environment interactions for body weight in Mediterranean buffaloes using reaction norm models
    Rodrigues, Fernando B.
    Malhado, Carlos H. M.
    Carneiro, Paulo L. S.
    Ambrosini, Diego P.
    Rezende, Marcos P. G.
    Bozzi, Riccardo
    Song, Jiuzhou
    REVISTA COLOMBIANA DE CIENCIAS PECUARIAS, 2021, 34 (03) : 166 - 176