PARAMETER ESTIMATION OF FACTORS AFFECTING MILK YIELD IN A MULTIPLE COLLINEARITY BY BAYESIAN REGRESSION METHODS


Yağanoğlu A. M.

IV. International Congress on Domestic Animal Breeding, Genetics and Husbandry-2020, Samsun, Türkiye, 12 - 14 Ağustos 2020, ss.99-101

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Samsun
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.99-101
  • Atatürk Üniversitesi Adresli: Evet

Özet

Regression analysis determines the relationship model between dependent and independent variables. In this study, the body weight, milking time, milk yield and environmental factors obtained from 61 dairy cattle were used for internal and external temperatures. In this study, Bayes Regression method was used to estimate milk yield parameters in case of multiple connections. According to the results, it was seen that Bayes method can be applied successfully in the field of animal husbandry. It is thought that the use of this study for dairy cattle in other agricultural areas will be useful for better evaluation of the data obtained.