Resumo O objetivo desse estudo foi verificar a relação entre parâmetros da composição físico-química, qualidade microbiológica e volume de leite entregue a um laticínio na região Norte do Rio Grande do Sul, no ano de 2020, em quatro diferentes épocas do ano. Para isso, foram avaliados os parâmetros volume, proteína, gordura, lactose, sólidos totais, contagem de células somáticas (CCS) e contagem padrão em placas (CPP). Os dados foram coletados nos meses de janeiro, abril, julho e outubro, em 1634 propriedades leiteiras localizadas na região Norte do Rio Grande do Sul. Os dados foram avaliados por meio da correlação de Pearson e as médias foram comparadas pelo teste de Tukey, ambos a 5% de significância. Os teores de gordura e proteína do leite foram maiores durante o outono (4,02 e 3,35%) e o inverno (3,90 e 3,36%, respectivamente), contribuindo para a maior concentração de sólidos no mesmo período. A qualidade microbiológica do leite, principalmente a CCS, é comprometida durante os meses mais quentes, em virtude do estresse térmico sofrido pelos animais, desafiando o sistema imune e aumentando a susceptibilidade a enfermidades. A maior CPP do leite no período de inverno (247,12 UFC/mL) remete à transferência de sujidades do teto para o tanque, em virtude da ineficiência dos procedimentos pré-ordenha. Portanto, a qualidade microbiológica do leite foi variável entre os períodos estudados, sendo que os teores de gordura e proteína sofreram reduções durante o verão, refletindo em menores remunerações por qualidade, visto a alta CCS na mesma estação.

Abstract 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.

ABSTRACT This study aimed to characterize 24 representative sheep production farms from five mesoregions in the state of Paraná, Southern Brazil, so that economic and productive improvement strategies could be proposed. The representative farms for each region were defined at meetings with sheep farmers and technicians via the rapid appraisal methodology and represent 65% of the state’s flock. The information of each representative farm was collected between March 2015 and February 2016. Principal component analysis was used to verify the relationships among the different variables that characterized the farms. These characteristics were: number of ewes (V1), total cost per kilogram of revenue-generating product (V2), feeding costs (V3), labor costs (V4), facility and equipment depreciation costs (V5), and gross margin in the production cycle (V6). Cluster analysis was performed, resulting in three distinct groups: one including eight, another seven, and the third, nine farms. The results aided in classifying the farms into groups with similar characteristics, such as production scale, reproductive efficiency, technical and managerial control, appreciation of cooperatives, and availability of continuous technical assistance. The production scale, reproductive and productive efficiency, adoption of technologies, and cooperative organizational structure can be emphasized as positive performance benchmarks and were the most important aspects to achieve positive economic results.