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使用判别分析将火鸡分为低精液产量或高精液产量类别。

Classification of turkeys as low or high volume semen producers using discriminant analysis.

作者信息

Smith E J, Savage T F

机构信息

Department of Animal Sciences, Oregon State University, Corvallis 97331-3402.

出版信息

Poult Sci. 1992 Sep;71(9):1413-6. doi: 10.3382/ps.0711413.

DOI:10.3382/ps.0711413
PMID:1409223
Abstract

Medium White turkeys in Generation 10 of divergent selection for semen ejaculate volume (SEV) were classified into lines that produce either low or high volumes of semen using a multivariate statistical technique, discriminant analysis. The discriminant function was based on records of hen fertility, embryonic mortality in the early and late incubation periods, and the incidence of pipped eggs. A hit ratio, the proportion of birds correctly categorized as low or high, of .60 was obtained. The discriminant function was subsequently used to classify birds in Generation 12. A misclassification rate of .28 and .48 was obtained for birds in the low and high lines, respectively. It was concluded that the relatively low rates of misclassification indicate a potential method for identifying male and female turkeys as belonging to low or high SEV lines, based on fertility and incubation records.

摘要

在对精液射精量(SEV)进行差异选择的第10代中型白羽火鸡中,使用多变量统计技术判别分析,将其分为精液产量低或高的品系。判别函数基于母鸡受精率、孵化前期和后期的胚胎死亡率以及啄壳蛋的发生率记录。得到的命中率,即正确分类为低或高的鸟类比例为0.60。随后,该判别函数用于对第12代的鸟类进行分类。低产和高产品系的鸟类错误分类率分别为0.28和0.48。得出的结论是,相对较低的错误分类率表明,基于受精率和孵化记录,有一种潜在方法可用于识别属于低或高SEV品系的雄性和雌性火鸡。

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