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Usability of the Factor Analysis Scores in Multiple Linear Regression Analyses for the Prediction of Daily Milk Yield in Norduz Goats

عنوان مقاله: Usability of the Factor Analysis Scores in Multiple Linear Regression Analyses for the Prediction of Daily Milk Yield in Norduz Goats
شناسه ملی مقاله: JR_JASTMO-19-7_006
منتشر شده در در سال 1396
مشخصات نویسندگان مقاله:

I. Daskiran - Minestry of Food Agriculture Livestok of Turkey, Genetic Directorate Agricultural Research and Policies, Ankara, Turkey.
S. Keskin - Department of Biostatistics, Faculty of Medicine, Yuzuncu Yil University, Van, Turkey.
M. Bingol - Department of Animal Science, Faculty of Agriculture, Yuzuncu Yil University, Van, Turkey.

خلاصه مقاله:
The aim of this study was to determine the relationship between daily milk yield and udder traits using multiple regression analyses in order to predict daily milk yield in Norduz goats. ۱۰ udder traits including upper udder height, bottom udder height, udder depth, udder width, udder circumference, left teat length, right teat length, left teat circumference, right teat circumference and teat angle. The data was collected from ۲۷ Norduz goats raised in pastoral conditions in the Norduz region of Van province South Eastern Turkey. Factor analysis was employed to simplify the complex relationships between udder traits. After the udder traits were exposed to factor analysis, four factors with Eigen values greater than ۱ were selected as explanatory (independent) variables and used for multiple linear regression analysis. First factor was named teat factor, second and third factors were named udder factors while the fourth was udder bottom height. The ۲nd and ۳rd factors, which were significant, were then used to fit the regression model. The study found that two udder factors had significant statistical effect on daily milk yield and these factors together had accounted for ۷۸.۶ % of the variation in daily milk yield. The findings of this study showed that both multivariate and univariate approaches can be used to determine the relationship between milk yield and udder traits. In addition, these statistical approaches may also be useful to eliminate multicollinearity problems among large number of variables. In conclusion, the study proved that both univariate and multivariate methods can be applied successfully to predict daily milk yield using udder traits in goats.

کلمات کلیدی:
Determination coefficient, Eigen value, Goats, Milk yield, Udder traits

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1826195/