ASReml-based estimation of early genetic parameters in hybrid mutton sheep populations

Autor: Haifeng Wang, Shanning Jin, Zhenfei Xu, Jinxia Zhang, Xuejiao An, Rui Zhang, Yanyan Hao, Lina Zhu, Yinchun Wang, Junni Jin, Zhiguang Geng, Chenglan Li, Jianye Li, Yaojing Yue
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Animal Biotechnology, Vol 35, Iss 1 (2024)
Druh dokumentu: article
ISSN: 10495398
1532-2378
1049-5398
DOI: 10.1080/10495398.2024.2383261
Popis: The aim of this study was to analyze the effects of non-genetic factors on the estimation of genetic parameters of early growth traits in hybrid mutton sheep using ASReml software, in order to provide theoretical basis for screening the optimal hybriding combinations and accelerating the breeding process of new breeds of specialized housed-feeding mutton sheep. We selected the wellgrown hybrid Southhu (Southdown × Hu sheep) and Dorhu (Dorset × Hu sheep) sheep as the research objects, constructed weight correction formulae for SH and DH sheep at 60 and 180 days; and used ASReml software to investigate the effects of non-genetic factors on the estimation of genetic parameters of early growth traits in hybrid sheep. The results showed that the birth month and birth type were found significant for all traits (p
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