Associations between Somatic Cell Count and Milk Fatty Acid and Amino Acid Profile in Alpine and Saanen Goat Breeds
Evaldas Šlyžius,
Lina Anskienė,
Giedrius Palubinskas,
Vida Juozaitienė,
Birutė Šlyžienė,
Renalda Juodžentytė,
Lina Laučienė
Affiliations
Evaldas Šlyžius
Department of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilžes 18, LT-47181 Kaunas, Lithuania
Lina Anskienė
Department of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilžes 18, LT-47181 Kaunas, Lithuania
Giedrius Palubinskas
Department of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilžes 18, LT-47181 Kaunas, Lithuania
Vida Juozaitienė
Department of Biology, Faculty of Natural Sciences, Vytautas Magnus University, K. Donelaicio 58, LT-44248 Kaunas, Lithuania
Birutė Šlyžienė
Department of Animal Breeding, Faculty of Animal Science, Lithuanian University of Health Sciences, Tilžes 18, LT-47181 Kaunas, Lithuania
Renalda Juodžentytė
Consulting and Study Centre for Postgraduate Studies in Veterinary Sciences, Lithuanian University of Health Sciences, Tilžes 18, LT-47181 Kaunas, Lithuania
Lina Laučienė
Department of Food Safety and Quality, Faculty of Veterinary Medicine, Lithuanian University of Health Sciences, Tilžes 18, LT-47181 Kaunas, Lithuania
The main goal of this study was to evaluate the relation of different SCC levels in goat milk with goat milk yield, milk composition, FA, and AA profiles. Whereas the investigated herd was composed of Alpine and Saanen goats, the influence of breed on milk parameters and milk yield was also assessed. The research was carried out in 2022 at a Lithuanian dairy goat farm with 135 goats (Saanen = 66 and Alpine = 69) without evidence of clinical mastitis. The current research revealed a relationship between SCC with goat milk yield and composition. Goats with a high SCC had significantly lower milk yield (p p p p p p p p p p > 0.05). The research revealed a statistically significant relationship between SCC, AA, and FA, suggesting that these traits may be used as a biomarker in the goat selection process.
