Liu Wenna, Lu Qingwei, Tang Sen, Pu Xue, Wang Yaqian, Wu Cuiling, Hu Xiangrong, Hong Wei, Fu Xuefeng
College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, China.
Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China.
Front Vet Sci. 2024 May 16;11:1349790. doi: 10.3389/fvets.2024.1349790. eCollection 2024.
As the economic level of individuals rises, so too does the demand for mutton. Enhancing the breeds of mutton sheep not only boosts production efficiency and economic benefits but also fosters the sustainable growth of the mutton sheep breeding industry. Thus, this study examines the early growth and reproductive traits of Tianmu Sainuo sheep, analyzing the genetic interactions among these traits to furnish a theoretical foundation for refining breeding strategies and expediting the genetic advancement of this breed. The investigation compiled 29,966 data entries, involving 111 sires for birth weight (BWT) and 113 for other metrics. The data encompassed 10,415 BWT records from 1,633 dams, 12,753 weaning weight (WWT) records from 1,570 dams, 12,793 average daily gain (ADG) records from 1,597 dams, and 13,594 litter size (LS) records from 1,499 dams. Utilizing the GLM procedure in SAS 9.2 software, the study analyzed the non-genetic influences on lamb BWT, WWT, ADG, and LS. Concurrently, DMU software estimated the variance components across various animal models for each trait. Employing the Akaike Information Criterion (AIC) and likelihood ratio test (LRT), six models were tested, incorporating or excluding maternal inheritance and environmental impacts, to identify the optimal model for deriving genetic parameters. The findings reveal that birth year (BY), birth quarter (BQ), birth type (BT), age of mother (AM), and birth sex (BS) exerted significant impacts on BWT, WWT, and ADG ( < 0.01). Additionally, BQ and AM significantly influenced LS ( < 0.01). The most accurate genetic evaluation model determined the heritability of BWT, WWT, ADG, and LS to be 0.0695, 0.0849, 0.0777, and 0.1252, respectively.
随着个人经济水平的提高,对羊肉的需求也在增加。改良肉羊品种不仅能提高生产效率和经济效益,还能促进肉羊养殖业的可持续发展。因此,本研究考察了天目萨诺羊的早期生长和繁殖性状,分析了这些性状之间的遗传相互作用,为优化育种策略和加快该品种的遗传进展提供理论基础。该调查收集了29966条数据记录,涉及出生体重(BWT)的111只父本和其他指标的113只父本。数据包括来自1633只母羊的10415条BWT记录、来自1570只母羊的12753条断奶体重(WWT)记录、来自1597只母羊的12793条平均日增重(ADG)记录以及来自1499只母羊的13594条产仔数(LS)记录。利用SAS 9.2软件中的GLM程序,该研究分析了对羔羊BWT、WWT、ADG和LS的非遗传影响。同时,DMU软件估计了每个性状在各种动物模型中的方差成分。采用赤池信息准则(AIC)和似然比检验(LRT),对包含或排除母体遗传和环境影响的六个模型进行了测试,以确定用于推导遗传参数的最佳模型。研究结果表明,出生年份(BY)、出生季度(BQ)、出生类型(BT)、母亲年龄(AM)和出生性别(BS)对BWT、WWT和ADG有显著影响(<0.01)。此外,BQ和AM对LS有显著影响(<0.