Estimation of genetic parameters for test day records of milk performance traits in German Improved Fawn

被引:0
|
作者
Bömkes, D [1 ]
Hamann, H [1 ]
Distl, O [1 ]
机构
[1] Tierarztlichen Hsch Hannover, Inst Tierzucht & Vererbungsforsch, D-30559 Hannover, Germany
来源
关键词
goats; milk performance traits; genetic paraineters;
D O I
暂无
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The objectives of this study were to estimate genetic parameters for milk performance traits of German Improved Fawn by using univariate und multivariate annual models. The analysis was based on 27,778 test day records of 1,848 German Improved Fawn with 3,574 lactation records distributed over 229 flocks in Lower Saxony, Saxony and Baden-Wuerttemberg. Milk records were sampled between 1988 and 2002. The animals in Our analysis were the progeny of 455 sires and 1.148 does. Heritabilities estimated with a multivariate test day model with fixed regression were h(2) = 0.19, 0.16 and 0.15 for milk, fat and protein yield. For fat and protein content and Somatic Cell Score (SCS) heritabilities were h(2) - 0, 17, 0.14 and 0.16, respectively. The additive genetic correlations between milk yield and fat as well as protein yield of German Improved Fawn were very high and positive (r(g) = 0.84 and r(g) = 0.77). Milk yield and milk contents were genetically negative correlated with r(g) = -0.28 for fat and r(g) = -0.22 for protein content. A moderate additive genetic correlation (r(g) = 0.48) between fat and protein content was estimated. There were no considerable additive genetic correlations between fat yield and protein content as well as between fat content and protein yield (r(g) = 0.05 and r(g) = 0.09). Additive genetic correlations between milk, fat or protein yield and SCS were high and negative, whereas additive genetic correlations between fat or protein content and SCS were low and positive. The genetic parameters estimated form field test records allow to achieve genetic progress in milk performance traits of German Improved Fawn.
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页码:193 / 202
页数:10
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