Multivariate of Physicochemical Properties of Daily Milk throughout Milking Seasons on Syrian Buffaloes (Bubalus Bubalis).

Buffalo milk is essential for both human health and manufacturing processes, making it important to improve its productivity and quality.This study applies multivariate analysis to evaluate variations in daily milk yield and its constituents across different milking seasons.The results show that milking seasons significantly affect daily milk and its constituents.Milk, fat, and non-fat solids on test day have the highest variances.Covariances between errors match those of daily milk and its constituents.The highest covariances are between daily milk and non-fat solids, followed by fat, lactose, and protein masses.Most correlations are strong and positive, but there are notable negative correlations between daily milk and fat.Milk density and fat-to-protein ratio have strong negative correlations with fat and protein masses, respectively.Wilks' Lambda, Pillai's trace, Hotelling-Lawley Trace, and Roy's Root indicate significant group variances in multivariate traits related to dependent variables.This study concludes that Syrian Buffalo milk undergoes notable seasonal variations in its physicochemical properties, highlighting the importance of seasonal factors in enhancing daily milk and its quality.Buffalo breeders can improve productivity and benefit the dairy industry by collaborating with nutritionists and selecting animals for milk quality.