Genetic parameter estimations for persistence of milk yield with different function definition in dairy cattle
TURKISH JOURNAL OF VETERINARY & ANIMAL SCIENCES, cilt.28, sa.1, ss.225-231, 2004 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 28 Sayı: 1
- Basım Tarihi: 2004
- Dergi Adı: TURKISH JOURNAL OF VETERINARY & ANIMAL SCIENCES
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.225-231
- Anahtar Kelimeler: test-day model, covariance function, random regression, COVARIANCE FUNCTIONS, GROWTH, LACTATION, MODEL, FAT
- Ankara Üniversitesi Adresli: Hayır
Özet
A data set containing 2-year test day milk yield records was used. Random regression model solutions established with a covariance function (CF) approach was used. Persistence and lactation curve explanation performances of polynomial, Wilmink and Ali-Schaeffer curve definitions were compared for CF. When comparisons were made for R-2 values, polynomial (0.9835) definition headed the list, followed by the Ali-Schaeffer curve (0.9534), and Wilmink curve (0.6023) definitions. Among the persistence predictions in respect of lactation orders, the Ali-Schaeffer curve provided predictions with the minimum variance, followed by the Wilmink and polynomial curve approaches. All of the curve definitions were in accord with the literature.