Djedović Radica, Vukasinovic Natascha, Stanojević Dragan, Bogdanović Vladan, Ismael Hasan, Janković Dobrila, Gligović Nikolija, Brka Muhamed, Štrbac Ljuba
Institute of Animal Science, Faculty of Agriculture, University of Belgrade, 11080 Belgrade, Serbia.
Zoetis Veterinary Medicine Research and Development (VMRD), Kalamazoo, MI 49001, USA.
Animals (Basel). 2023 Feb 2;13(3):534. doi: 10.3390/ani13030534.
In this study, the authors focused on the evaluation of the genetic parameters of longevity, milk yield traits, and type traits in dairy cattle populations in the Republic of Serbia. The total dataset used consisted of production records and pedigree data for 32,512 Holstein cows that calved from 1981 to 2015. The animal model was applied to determine the variance and covariance components and genetic parameters of the analyzed traits by applying the restricted maximum likelihood (REML) approach and using the programs VCE6 and PEST. The heritability of longevity traits was estimated using the Survival Kit V6.0 software package. Variance and covariance were estimated for five production traits: milk yield (MY), fat yield (FY), protein yield (PY), milk fat content (MC), and protein content (PC), and three longevity traits: length of productive life (LPL), lifetime milk yield (LMY), and the number of lactations achieved (NL) as well as for 18 standard type traits. Heritabilities for the milk, fat, and protein yield traits were 0.20 (MY), 0.15 (FY), and 0.19 (PY), respectively. The estimated coefficients of heritability for the longevity traits were higher when using the Weibull proportional hazards model compared to the traditional linear methods and ranged from 0.08 for NL to 0.10 for LPL. Heritability values for the type traits varied from a low of 0.10 (RLSsv-rear legs set-side view) to medium values of 0.32 (ST-stature). Genetic correlations were found between MY and the following longevity traits: LPL, LMY, and NL with values of -0.18, -0.11, and -0.09, respectively. Genetic correlations were found between MY and a number of linear type traits and varied from 0.02 (between MY and RUH-rear udder height) to 0.28 (between MY and FUA-fore udder attachment). Genetic correlations between the 18 investigated type traits ranged from -0.33 between TL (top line) and RTP (rear teats position) to 0.71 between AN (angularity) and RUH (rear udder height). Genetic correlations between most linear type traits and longevity traits (LPL, LMY, and NL) were generally negative and very low. The highest positive genetic correlation was found between UD and LPL (r = 0.38).
在本研究中,作者着重评估了塞尔维亚共和国奶牛群体中长寿、产奶量性状和体型性状的遗传参数。所使用的总数据集包括1981年至2015年产犊的32,512头荷斯坦奶牛的生产记录和系谱数据。通过应用限制最大似然法(REML)并使用VCE6和PEST程序,采用动物模型来确定分析性状的方差和协方差分量以及遗传参数。使用Survival Kit V6.0软件包估计长寿性状的遗传力。对五个生产性状估计了方差和协方差:产奶量(MY)、乳脂产量(FY)、蛋白质产量(PY)、乳脂率(MC)和蛋白质率(PC),以及三个长寿性状:生产寿命长度(LPL)、终生产奶量(LMY)和产犊次数(NL),还包括18个标准体型性状。产奶量、乳脂产量和蛋白质产量性状的遗传力分别为0.20(MY)、0.15(FY)和0.19(PY)。与传统线性方法相比,使用威布尔比例风险模型时,长寿性状的遗传力估计系数更高,范围从NL的0.08到LPL的0.10。体型性状的遗传力值从低至0.10(RLSsv - 后腿侧视)到中等值0.32(ST - 体高)不等。发现MY与以下长寿性状之间存在遗传相关性:LPL,LMY和NL,其值分别为 - 0.18、 - 0.11和 - 0.09。发现MY与许多线性体型性状之间存在遗传相关性,范围从0.02(MY与RUH - 后乳房高度之间)到0.28(MY与FUA - 前乳房附着之间)。在所研究的18个体型性状之间的遗传相关性范围从TL(背线)和RTP(后乳头位置)之间的 - 0.33到AN(棱角性)和RUH(后乳房高度)之间的0.71。大多数线性体型性状与长寿性状(LPL、LMY和NL)之间的遗传相关性通常为负且非常低。UD和LPL之间发现最高的正遗传相关性(r = 0.38)。