GENETIC PARAMETER ESTIMATES FOR PRODUCTION AND REPRODUCTION TRAITS IN DAIRY BUFFALOES
GENETIC PARAMETER ESTIMATES FOR PRODUCTION AND REPRODUCTION TRAITS IN DAIRY BUFFALOES
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DOI：
10.1590/1983-21252016v29n125rc
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发表时间：
2016-03-01
期刊：
影响因子：
0.9
通讯作者：
TONHATI, HUMBERTO
中科院分区：
文献类型：
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作者：
BARROS, CAMILA DA COSTA;ASPILCUETA-BORQUIS, RÚSBEL RAUL;TONHATI, HUMBERTO
本研究的目的是确定奶牛产奶量、牛奶成分和繁殖性状的遗传变异。来自 3,061 头奶牛的总共 9,318 条泌乳记录被用来估计产奶量 (MY)、脂肪百分比 (% F)、蛋白质百分比 (% P)、泌乳长度 (LL)、产犊间隔 (CI) 和首次产犊年龄 (AFC) 的遗传力，以及这些性状之间的遗传和表型相关性。使用 GIBBS2F90 程序通过多性状动物模型中的贝叶斯推理来估计协方差分量。当代群体和挤奶次数（1 或 2）作为固定效应，母猪产犊时的年龄（线性和二次效应）作为协变量，加性遗传、永久环境和残留效应作为随机效应。 MY、% F、% P、LL、CI 和 AFC 的遗传力估计值（+/- 标准差）分别为 0.24 +/- 0.02、0.34 +/- 0.05、0.40 +/- 0.05、0.09 +/- 0.01、0.05 +/- 0.01 和 0.16 +/- 0.04。 MY 与 % F、% P、LL、CI 和 AFC 之间的遗传相关性分别为 -0.29、-0.18、0.66、0.08 和 0.24。牛奶产量和牛奶成分显示出足够的遗传变异，可以通过选择获得遗传收益。 MY 和牛奶成分之间的遗传相关性是负的，因此是不可取的，因为增加 MY 的努力可能会降低牛奶质量。繁殖性状几乎没有遗传影响，这表明管理的改进足以获得更好的性能。
The objective of this study was to determine the genetic variation in milk production, milk components, and reproductive traits in dairy buffaloes. A total of 9,318 lactation records from 3,061 cows were used to estimate the heritability of milk yield (MY), fat percentage (% F), protein percentage (% P), lactation length (LL), calving interval (CI), and age at first calving (AFC), as well as genetic and phenotypic correlations between these traits. Covariance components were estimated by Bayesian inference in a multitrait animal model using the GIBBS2F90 program. Contemporary groups and number of milkings (1 or 2) were included as fixed effects, age of dam at calving (linear and quadratic effects) as a covariate, and additive genetic, permanent environmental, and residual effects as random effects. The heritability estimates (+/- standard deviation) were 0.24 +/- 0.02, 0.34 +/- 0.05, 0.40 +/- 0.05, 0.09 +/- 0.01, 0.05 +/- 0.01, and 0.16 +/- 0.04 for MY, % F, % P, LL, CI, and AFC, respectively. The genetic correlations between MY and % F, % P, LL, CI, and AFC were -0.29, -0.18, 0.66, 0.08, and 0.24, respectively. Milk production and milk components showed sufficient genetic variation to obtain genetic gains through selection. The genetic correlations between MY and milk components were negative, and thus, undesirable because efforts to increase MY may decrease milk quality. Reproductive traits had little genetic influence, indicating that improvement of management would be sufficient to obtain better performance.