| Yazarlar |
Doç. Dr. Serdar GENÇ
Kırşehir Ahi Evran Üniversitesi, Türkiye |
Mehmet Mendeş
Çanakkale Onsekiz Mart Üniversitesi, Türkiye |
| Özet |
| The purpose of this study was to determine the factors affecting the 305-day milk yield of dairycattle by using Regression Tree Analysis (RTA). The data set of this study consisted of 8 differentcattle breeds grown in Turkey. Breed (B), Province (P), Lactation Length (LL), Service Period (SP),Dry Period (DP), Parity (PR), Calving Year (CY), Calving Age (CA) and Calving Month (CM)were used to predict the 305-day milk yield. Results of RTM showed that the usage of this methodmight be appropriate for determining the important factors that would be able to affect the 305-daymilk yield (R2=71.3%). It was seen that the most important factors affecting the 305-day milk yieldwere the Breed, Lactation Length, Province, and Parity. Therefore, those selected factors were moreefficient than the others in predicting the 305-day milk yield. RTA results also indicated that thelowest milk yield was estimated for Jersey, Jersey Crossbred, and Yerli Kara. Among the highest305-day milk yield cows, the milk yield estimates of the cows in the second, third, fourth, fifth, andthe sixth parities were found significantly higher than that of the cows in the first and seventhparities. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayımlanan tam makale |
| Dergi Adı | Turkish Journal of Agriculture - Food Science and Technology |
| Dergi ISSN | 2148-127X |
| Dergi Tarandığı Indeksler | TR DİZİN |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2021 |
| Cilt No | 9 |
| Sayı | 6 |
| Sayfalar | 1154 / 1158 |
| Doi Numarası | 10.24925/turjaf.v9i6.1154-1158.4384 |
| Makale Linki | http://dx.doi.org/10.24925/turjaf.v9i6.1154-1158.4384 |
| Atıf Sayıları | |
| TRDizin | 1 |
