...
首页> 外文期刊>The Indian Journal of Animal Sciences >Estimation of genetic parameters of milk and fat yields using different animal models in Iranian Holstein dairy cattle
【24h】

Estimation of genetic parameters of milk and fat yields using different animal models in Iranian Holstein dairy cattle

机译:不同动物模型在伊朗霍尔斯坦奶牛中不同动物模型估计牛奶和脂肪产量的遗传参数

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Milk and fat yield records of the first 4 lactations from 58 herds of Holstein cows recorded from 1999 to 2015 were analyzed. Genetic parameters were estimated by using univariate, repeatability and multivariate animal models. The fixed effects of herd-year-season as contemporary group and age at calving as covariate were fitted in the model of analyses. Heritability estimates under univariate model for lactations 1 to 4 were 0.28, 0.20, 0.19 and 0.13 for milk yield and for fat yield were 0.15, 0.12, 0.12 and 0.05, respectively. The repeatability and heritability values under the repeatability model for milk and fat yield were 0.48 and 0.24, and 0.38 and 0.17, respectively. Estimated heritabilities using a bivariate model for lactations 1 to 4 were 0.29, 0.20, 0.20 and 0.15 for milk yield and 0.12, 0.11, 0.13 and 0.05 for fat yield, respectively. Heritability estimates for lactations 1 to 4 by multivariate model were 0.30, 0.23, 0.22 and 0.19 for milk yield, and 0.17, 0.16, 0.17 and 0.12 for fat yield, respectively. Genetic, phenotypic and environmental correlations of milk yield were 0.91, 0.50 and 0.36 for first and second lactation; and 0.87, 0.45 and 0.31 for first and third lactation; and 0.79, 0.39 and 0.26 for first and fourth lactation; and 0.97, 0.53 and 0.41 for second and third lactation; and 0.91, 0.50 and 0.39 for second and fourth lactation; and 0.96, 0.56 and 0.46 for third and fourth lactation, respectively. These parameters for fat yield were 0.87, 0.35, 0.25 and 0.91, 0.29, 0116 and 0.83, 0.26, 0.17 and 0.96, 0.45, 0.35 and 0.90, 0.40, 0.32 and 0.98, 0.47, 0.38, respectively. Results from this study confirm that multivariate analysis is recommended for estimating the genetic parameter of milk and fat yield, because it considers the effects of selection bias of the first lactation.
机译:分析了1999年至2015年从1999年至2015年录制的58群Holstein奶牛的前4次哺乳期的牛奶和脂肪产量记录。通过使用单变量,重复性和多变量动物模型来估算遗传参数。在分析模型中,将群赛季作为当代组和年龄在犊牛队的固定效果。乳液产率为0.28,0.20,0.19和0.13,脂肪产量分别为0.15,0.12,0.12和0.05,单位为0.28,0.20,0.19和0.13分别为0.28,0.20,0.19和0.13。牛奶重复模型下的可重复性和可迁移性值分别为0.48和0.24和0.38和0.17。对于乳液1至4的双变量模型的估计遗传学率为0.29,0.20,0.20和0.15,分别为脂肪产率0.12,0.11,0.13和0.05。多元模型的泌尿动力学1至4的可遗传性估计为0.30,0.23,0.22和0.19,脂肪产率分别为0.17,0.16,0.17和0.12。牛奶率的遗传,表型和环境相关性为第一和第二哺乳期的0.91,0.50和0.36;第三和第三哺乳期为0.87,0.45和0.31;第四和第四次哺乳期为0.79,0.39和0.26;和第三哺乳期为0.97,0.53和0.41;第二和第四哺乳期为0.91,0.50和0.39;分别为0.96,0.56和0.46,分别为第三和第四哺乳期。这些用于脂肪产率的参数分别为0.87,0.35,0.25和0.91,0.29,0116和0.96,0.45,0.115和0.90,0.45,0.35和0.90,0.47,0.32和0.98,0.47,0.38。本研究结果证实,建议多变量分析估算牛奶和脂肪产量的遗传参数,因为它考虑了第一次哺乳期的选择偏差的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号