This study aimed to determine the effect of milk fatty acid composition, breed, and pregnancy status on total milk fat in dairy cows. The study was conducted with a total of 400 milk samples collected form healthy Holstein and Simmental cows. Milk samples were collected for total milk fat and fatty acid analysis. To investigate the effects of milk fatty acids, breed and pregnancy status on total milk fat, multiple linear regression analysis was performed. As a result of the analysis, breed, pregnancy status, C11:0, C14:0, C18:0, C18:1 ω9 and C18:3 ω6 were found to be statistically significant (p<0.05), while the C18:3 ω3 was nearly significant (p=0.069). Also, Holstein cows, C11:0 and C18:0 were found to have a positive effect, while pregnant cows, C14:0, C18:1 ω9, C18:3 ω3, and C18:3 ω6 had a negative effect. The multiple explanatory coefficient of the regression model (R2) was 0.238. In the light of all these findings, it was thought that milk fat could be increased with different breeding protocols. Moreover, it is suggested that the regression model can be improved further by adding different variables in future studies.
Scientific Research Project Fund of HATAY MUSTAFA KEMAL ÜNİVERSİTESİ
21.GAP.004
We would like to thank Saray Agriculture and Livestock Inc. for their kindly help.
Bu çalışma, süt ineklerinde süt yağ asitleri, ırk ve gebelik durumunun toplam süt yağına etkisini incelemeyi amaçlamıştır. Çalışma sağlıklı Holştayn ve Simental ineklerden toplanan toplam 400 adet süt örneği ile yürütülmüştür. Süt örnekleri, toplam süt yağı ve yağ asidi analizi için toplanmıştır. Süt yağ asitlerinin, ırkın ve gebelik durumunun toplam süt yağı üzerindeki etkilerini araştırmak için çoklu doğrusal regresyon analizi yapıldı. Analiz sonucunda ırk, gebelik durumu, C11:0, C14:0, C18:0, C18:1 ω9 ve C18:3 ω6 istatistiksel olarak anlamlı bulunurken (p<0,05), C18:3 ω3 neredeyse anlamlıydı (p=0,069). Ayrıca, Holştayn inekler C11:0 ve C18:0 pozitif bir etkiye sahip bulunmuşken, gebe inekler, C14:0, C18:1 ω9, C18:3 ω3 ve C18:3 ω6 negatif bir etkiye sahipti. Regresyon modelinin çoklu açıklayıcılık katsayısı (R2) 0,238'dir. Tüm bu bulgular ışığında farklı yetiştiricilik protokolleri ile süt yağının artırılabileceği düşünülmüştür. Ayrıca ileriki çalışmalarda farklı değişkenler eklenerek regresyon modelinin daha da geliştirilebileceği önerilmektedir.
21.GAP.004
Primary Language | English |
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Subjects | Veterinary Surgery, Animal Science, Genetics and Biostatistics |
Journal Section | RESEARCH ARTICLE |
Authors | |
Project Number | 21.GAP.004 |
Early Pub Date | June 14, 2023 |
Publication Date | June 15, 2023 |
Submission Date | November 18, 2022 |
Acceptance Date | March 28, 2023 |
Published in Issue | Year 2023 Volume: 94 Issue: 2 |
Veteriner Hekimler Derneği Dergisi (Journal of Turkish Veterinary Medical Society) is an open access publication, and the journal’s publication model is based on Budapest Access Initiative (BOAI) declaration. All published content is licensed under a Creative Commons CC BY-NC 4.0 license, available online and free of charge. Authors retain the copyright of their published work in Veteriner Hekimler Derneği Dergisi (Journal of Turkish Veterinary Medical Society).
Veteriner Hekimler Derneği / Turkish Veterinary Medical Society