Waste milk consumption in dairy calves: Effects on innate immunity and inflammatory profile.

Waste milk (WM) is commonly used in calf feeding to reduce rearing costs; however, its effects on the innate immune response remain unexplored. Therefore, this study aimed to evaluate the effects of WM on the innate immune response and inflammatory profile of pre-weaned dairy calves. Thirty male Holstein calves were assigned to receive pasteurized waste milk (PWM), saleable milk (SM), and WM (n = 10 in each group).

Effects of dam metabolic profile and seasonality (Spring vs. Winter) on their offspring' metabolism, health, and immunity: maternal factors in dairy calves' analytes.

Maternal status during the transition period can significantly impact the health and performance of Holstein dairy calves, with lasting effects on various variables. However, the relationship between maternal late gestation metabolic status, seasonality, and their impact on offspring remains unclear. This study aimed to assess the influence of maternal variables at calving on the performance, metabolism, and immunity of 28 dairy calves during their first month of life.

Hematologic profiles and development of innate immune function in healthy Holstein calves during the pre-weaning period.

Background: The development and state of innate immune cell function during the first 90 days of life in dairy calves have not been fully described.

Objective: This transversal study attempted to examine the changes that occur in circulating blood cells and the innate immune response in healthy calves from birth to 89 days of age.

Methods: Healthy Holstein calves represent three windows of development, G1 from 1 to 7 days old (n = 26), G2 from 30 to 40 days old (n = 28), and G3 from 60 to 89 days old (n = 36) were sampled once each from a single herd.

Somatic cell count in buffalo milk using fuzzy clustering and image processing techniques.

This research communication presents an automatic method for the counting of somatic cells in buffalo milk, which includes the application of a fuzzy clustering method and image processing techniques (somatic cell count with fuzzy clustering and image processing|, SCCFCI). Somatic cell count (SCC) in milk is the main biomarker for assessing milk quality and it is traditionally performed by exhaustive methods consisting of the visual observation of cells in milk smears through a microscope, which generates uncertainties associated with human interpretation. Unlike other similar works, the proposed method applies the Fuzzy C-Means (FCM) method as a preprocessing step in order to separate the images (objects) of the cells into clusters according to the color intensity.