Your browser doesn't support javascript.
loading
Factor Analysis of Genetic Parameters for Body Conformation Traits in Dual-Purpose Simmental Cattle.
Xu, Lei; Luo, Hanpeng; Zhang, Xiaoxue; Lu, Haibo; Zhang, Menghua; Ge, Jianjun; Zhang, Tao; Yan, Mengjie; Tan, Xueting; Huang, Xixia; Wang, Yachun.
Afiliação
  • Xu L; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Luo H; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
  • Zhang X; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Lu H; Beijing SUNLON Biological Seed Industry Innovation Technology Limited Company, Beijing 101206, China.
  • Zhang M; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Ge J; Xinjiang Hutubi Farm, Changji 831200, China.
  • Zhang T; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Yan M; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Tan X; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Huang X; College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China.
  • Wang Y; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Animals (Basel) ; 12(18)2022 Sep 15.
Article em En | MEDLINE | ID: mdl-36139293
ABSTRACT
In this study, we estimated the genetic parameters for 6 composite traits and 27 body conformation traits of 1016 dual-purpose Simmental cattle reared in northwestern China from 2010 to 2019 using a linear animal mixed model. To integrate these traits, a variety of methods were used as follows (1) genetic parameters estimates for composite and individual body conformation traits based on the pedigree relationship matrix (A) and combined genomic-pedigree relationship matrix (H); (2) factor analysis to explore the relationships among body conformation traits; and (3) genetic parameters of factor scores estimated using A and H, and the correlations of EBVs of the factor scores and EBVs of the composite traits. Heritability estimates of the composite traits using A and H were low to medium (0.07-0.47). The 24 common latent factors explained 96.13% of the total variance. Among factors with eigenvalues ≥ 1, F1 was mainly related to body frame, muscularity, and rump; F2 was related to feet and legs; F3, F4, F5, and F6 were related to teat placement, teat size, udder size, and udder conformation; and F7 was related to body frame. Single-trait analysis of factor scores yielded heritability estimates that were low to moderate (0.008-0.43 based on A and 0.04-0.43 based on H). Spearman and Pearson correlations, derived from the best linear unbiased prediction analysis of composite traits and factor scores, showed a similar pattern. Thus, incorporating factor analysis into the morphological evaluation to simplify the assessment of body conformation traits may improve the genetics of dual-purpose Simmental cattle.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Animals (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Animals (Basel) Ano de publicação: 2022 Tipo de documento: Article