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Genetic Parameters for Tunisian Holsteins Using a Test-Day Random Regression Model

机译:使用测试日随机回归模型的突尼斯荷斯坦牛遗传参数

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Genetic parameters of milk, fat, and protein yields were estimated in the first 3 lactations for registered Tunisian Holsteins. Data included 140,187; 97,404; and 62,221 test-day production records collected on 22,538; 15,257; and 9,722 first-, second-, and third-parity cows, respectively. Records were of cows calving from 1992 to 2004 in 96 herds. (Co)variance components were estimated by Bayesian methods and a 3-trait-3-lactation random regression model. Gibbs sampling was used to obtain posterior distributions. The model included herd × test date, age x season of calving × stage of lactation [classes of 25 days in milk (DIM)], production sector × stage of lactation (classes of 5 DIM) as fixed effects, and random regression coefficients for additive genetic, permanent environmental, and herd-year of calving effects, which were defined as modified constant, linear, and quadratic Legendre coefficients. Heritability estimates for 305-d milk, fat and protein yields were moderate (0.12 to 0.18) and in the same range of parameters estimated in management systems with low to medium production levels. Heritabilities of test-day milk and protein yields for selected DIM were higher in the middle than at the beginning or the end of lactation. Inversely, heritabilities of fat yield were high at the peripheries of lactation. Genetic correlations among 305-d yield traits ranged from 0.50 to 0.86. The largest genetic correlation was observed between the first and second lactation, potentially due to the limited expression of genetic potential of superior cows in later lactations. Results suggested a lack of adaptation under the local management and climatic conditions. Results should be useful to implement a BLUP evaluation for the Tunisian cow population; however, results also indicated that further research focused on data quality might be needed.
机译:在已注册的突尼斯荷斯坦奶牛的前3次哺乳中,估计了牛奶,脂肪和蛋白质产量的遗传参数。数据包括140,187; 97,404;收集了22,538个测试日的62,221个测试日生产记录; 15,257;分别是9,722头第一,第二和第三头母牛。从1992年到2004年,有96头牛犊产犊记录。 (协)方差成分通过贝叶斯方法和3特质3哺乳期随机回归模型进行估计。 Gibbs采样用于获得后验分布。该模型包括牛群×试验日期,年龄×产犊季节×泌乳阶段[牛奶中25天类别(DIM)],生产部门×哺乳阶段(5 DIM类)作为固定效应,以及随机回归系数加性遗传,永久环境和产犊年的产犊效应,定义为修正的常数,线性和二次勒让德系数。 305天牛奶,脂肪和蛋白质产量的遗传力估计值适中(0.12至0.18),并且在中低生产水平的管理系统中估计的参数范围相同。所选DIM的测试日牛奶和蛋白质产量的遗传力在中途高于泌乳开始或结束时。相反,在泌乳周期,脂肪产量的遗传力很高。 305 d产量性状之间的遗传相关性介于0.50至0.86之间。在第一次和第二次泌乳之间观察到最大的遗传相关性,这可能是由于上等母牛在以后的泌乳中遗传潜力的表达有限。结果表明,在当地管理和气候条件下缺乏适应性。结果应有助于对突尼斯奶牛种群进行BLUP评估;但是,结果也表明可能需要针对数据质量的进一步研究。

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