The compost-bedded pack barn (CBPB) system has been increasingly adopted by dairy farms due to its ability to enhance animal comfort and milk production. This study evaluated the associations among bedding characteristics, milk quality and composition, and subclinical mastitis (SCM) occurrence in dairy herds housed in CBPB systems. Over a period of six months, data related to milk quality and udder health and bedding sampling were collected from eight dairy farms. Monthly measurements of the bedding temperature and wind speed inside the CBPB were taken, while temperature and relative humidity data inside the CBPB were recorded using a datalogger. Bedding samples were subjected to analysis of moisture, pH, microbiological count, and carbon/nitrogen ratio. Data on milk composition (fat, protein, milk urea nitrogen, and total solids) and quality (somatic cell count and standard plate count) of bulk tank milk were obtained from DHIA results. Canonical correlation analyses were used to evaluate the association between the analyzed group variables, and linear regression models were used to identify associations between bedding characteristics and SCM occurrence in the studied herds. The bedding characteristics that most influenced milk composition and quality were moisture, temperature at 30 cm depth (T30), and bedding pH. Environmental variables played an important role in bedding composting, as they were closely related to the surface temperature and pH. Overall, 62.71% of the variation in milk quality and composition could be explained by the bedding variables, and 77.50% of the variation in the bedding variables was associated with environmental variables. Median SCM prevalence and incidence were 28.6 and 13.8%, respectively. An increase of 1 °C for T30 resulted in a 0.6% reduction in the prevalence of SCM. Additionally, the bedding surface temperature at 22.3 °C resulted in the highest incidence of SCM (~18.1%). Our results demonstrate the importance of controlling microclimatic conditions in the CBPB to optimize the bedding composting process and milk quality.

This study aimed to verify the relationship between parameters of physicochemical composition, microbiological quality, and volume of milk delivered to a dairy in the northern region of Rio Grande do Sul, Brazil, at four different times in 2020. For this purpose, the parameters volume, protein, fat, lactose, total solids, somatic cell count (SCC), and standard plate count (SPC) were evaluated. The data were collected in January, April, July, and October from 1634 dairy farms located in the northern region of Rio Grande do Sul. The data were evaluated using Pearson’s correlation, while the means were compared using Tukey’s test, both at a 5% significance. Milk fat and protein contents were higher during fall (4.02 and 3.35%) and winter (3.90 and 3.36%, respectively), contributing to a higher concentration of solids. The microbiological quality of milk, especially SCC, is compromised during the warmer months due to the thermal stress suffered by the animals, challenging their immune system and increasing their susceptibility to diseases. The highest milk SPC in the winter (247.12 CFU/mL) refers to the transfer of contamination from the teat to the tank due to the inefficiency of pre-milking procedures. Therefore, the microbiological quality of milk was variable between the studied periods, and fat and protein contents suffered reductions during the summer, reflecting lower remuneration for quality given the high SCC in the same season.

The objective of this work was to evaluate the effect of nine years on seasonality, quality, composition, production and the trade price per liter of milk, on a dairy farm in the north of the state of Rio Grande do Sul. Data on fat, protein, lactose, total solids, defatted dry extract, and somatic cell count (SSC), total bacterial count (TBC), monthly sold milk production, average production per animal and trade price per liter of milk. For statistical analysis, analysis of variance was used considering the effect of the seasons (summer, autumn, winter and spring) and years, however, for Pearson's correlation, the objective was to observe the correlation between the value of the liter of commercialized milk in relation to the milk centesimal composition, microbiological quality and volume of traded milk. Winter and spring were characterized as the seasons with the highest volume of milk sold, the highest lactose levels, the lowest SSC and TBC levels. In relation to the price of the liter of traded milk, the seasons with the highest prices paid were autumn and winter, followed by summer and spring. In addition, this experiment showed that the main components responsible for formulating the price sold per liter of milk were SSC, protein TBC, lactose and volume sold. Thus, the seasons and the different years interfered in the composition, quality, production and price of a liter of milk.

This study evaluated the influence of milk production, number of lactations, and days in milk (DIM) on the quality and composition of milk from dairy cows housed in a compost barn (CB) system. The study was carried out using a six-year database, counting 31,268 observations from 2,037 cows of European breeds. Multiparous cows showed higher fat and protein production. Lactose showed high levels for primiparous and the initial stage of lactation (4.65%) and was negatively influenced by somatic cell count (SCC). Milk urea nitrogen was higher (14.01%) from 106 to 205 days in milk, and the other components were higher at >305 days. Therefore, the solids content was higher in the first and second lactations due to the high contents of lactose, fat, and milk protein, but lactose was reduced over lactations. In contrast, high DIM increased SCC and concentrated solids due to lower milk production. The effect of milk production, stage, and lactation order on the composition and milk quality of herds housed in CB showed the same pattern as in other production systems.