Linear modeling analysis using for determining the factors affecting 305-day milk yield
Yükleniyor...
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Universidade Federal de Minas Gerais
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution 3.0 United States
Attribution 3.0 United States
Özet
The purpose of this study was to model the factors affecting the 305-day milk yield of dairy cows by using Automatic Linear Modeling Technique (ALM). The data set of this study consisted of eight different cow breeds grown in eight province of Turkey. Results of ALM showed that the accuracy of the model was 64.2 % means that 64.2% of the variation in the 305-day milk yield could be explained by the constructed model. Created model was consisted of four factors namely the Breed, Lactation Length, Parity, and Province. Therefore, those selected factors were more efficient than the others in predicting the 305-day milk yield
Açıklama
Anahtar Kelimeler
305-day milk yield, Automatic linear modeling, Prediction, Dairy cows
Kaynak
Arquivo Brasileiro de Medicina Veterinaria e Zootecnia
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
73
Sayı
4
Künye
Genç, S.& Mendeş, M. (2021). Linear modeling analysis using for determining the factors affecting 305-day milk yield. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia, 73(4), 949–954. https://doi.org/10.1590/1678-4162-12346
