Information about genetic parameters is essential for selection decisions and genetic evaluation. These estimates are population specific; however, there are few studies with dairy cattle populations reared under tropical and sub-tropical conditions. Thus, the aim was to obtain estimates of heritability and genetic correlations for milk yield and quality traits using pedigree and genomic information from a Holstein population maintained in a tropical environment. Phenotypic records (n = 36 457) of 4203 cows as well as the genotypes for 57 368 single nucleotide polymorphisms from 755 of these cows were used. Covariance components were estimated using the restricted maximum likelihood method under a mixed animal model, considering a pedigree-based relationship matrix or a combined pedigree-genomic matrix. High heritabilities (around 0.30) were estimated for lactose and protein content in milk whereas moderate values (between 0.19 and 0.26) were obtained for percentages of fat, saturated fatty acids and palmitic acid in milk. Genetic correlations ranging from -0.38 to -0.13 were determined between milk yield and composition traits. The smaller estimates compared to other similar studies can be due to poor environmental conditions, which may reduce genetic variability. These results highlight the importance in using genetic parameters estimated in the population under evaluation for selection decisions.

The objectives of this study were to estimate the prevalence and incidence of subclinical mastitis (SM) in a large population of Brazilian dairy herds and to describe how these indices changed over time. A data set comprising individual cow somatic cell counts (SCC) from 18,316 test days (TD) of 1,809 herds that participated in a Dairy Herd Improvement Association (DHIA) program between January 2011 and May 2015 was available for analysis. Only tests that had ≥10 lactating cows and that were performed at 30 ± 10-d intervals were used for analysis. The final data set included 8,285 TD from 517 herds located in 5 regions of the country. Prevalence (%) of SM was defined as the number of cows with SCC ≥200,000 cells/mL divided by the total number of tested cows on a given TD. The incidence of SM was defined as the number of cows whose SCC increased from <200,000 to ≥200,000 cells/mL over 2 consecutive TD divided by the sum of each cow's days at risk during this interval, expressed as new cases per cow month at risk. Prevalence and incidence of SM were compared among years, regions, herd size categories, and frequency of DHIA testing during the study period. The overall mean prevalence and incidence of SM including all tests performed during the study period was 46.4% and 0.17 new cases per cow month at risk, respectively. The prevalence of SM varied little from 2011 to 2015, and an increasing trend was observed over the years. Prevalence was lower in herds that performed ≥60 DHIA tests during the study period than in those that performed fewer tests and was not different among regions or herd size categories. Incidence of SM varied little over the years and was not different among the regions studied. Prevalence and incidence of SM in the 517 herds studied were high and did not improve over the years. These trends were observed across all herd size categories and regions studied. Producers who had more DHIA tests performed per herd during the study period had lower prevalence of SM. Results of this study highlight the need to establish large-scale milk quality programs in Brazil.

RESUMO -A relação entre contagem de células somáticas do leite (CCS) e produção de leite é objeto de estudo de inúmeras pesquisas em diversos países, porém, no Brasil a literatura a esse respeito é escassa. Desse modo, o objetivo do presente trabalho é verificar se as perdas na produção de leite devidas ao aumento da CCS são proporcionais à produção, ou absolutas, independendo desta, e a partir de que valor de CCS elas começam a ser evidentes. Para o estudo foram utilizadas 13.725 observações, colhidas mensalmente de seis rebanhos, no período de janeiro de 2001 a junho de 2002. O modelo de análise, para curva de lactação, foi baseado na função gama incompleta, considerando os efeitos de ordem de lactação, rebanho e época do parto. A CCS foi incluída nesse modelo de duas formas: como fator multiplicativo (representando perdas relativas) e como fator aditivo (representando perdas absolutas). A escolha do melhor modelo foi baseada no critério de informação de Schwarz (BIC). Concluiu-se que as perdas são absolutas, evidentes a partir de 17.000 células/mL e, para cada aumento de uma unidade na escala do logaritmo natural a partir desse valor, estimam-se perdas de 238 e 868 mL/ dia para primíparas e multíparas, respectivamente.Palavras-chave: CCS, mastite subclínica, mastite bovina, produção de leite Somatic Cells Count and Milk Yield in Confined Holstein CowsABSTRACT -The relationship between milk somatic cells count (SCC) and milk yield has been the aim of countless researches in several countries; however, in Brazil, the literature related to this subject is scarce. Therefore, the objective of this study is to verify if the losses in milk yield due to SCC increase are proportional to the yield, or absolute (independent of it) and starting from which SCC, the losses become evident. For this study, 13.725 observations were used, collected monthly from 6 different herds, from January/2001 up to June/2002. The analysis model, for lactation curve, was based upon the incomplete gama function, considering the effects of lactation order, herd and calving season. The SCC entered in that model in two ways: as multiplicative factor (representing relative losses) and as addictive factor (representing absolute losses). The best model was chosen based on the information criteria of Schwarz (BIC). It is concluded that the losses are absolute, becoming evident from 17.000 cells/mL, and they are 238 and 868 mL/day for each increase of one unit in the natural logarithm scale, starting from that SCC, respectively, for primiparous and multiparous.Key Words: SCC, subclinical mastitis, bovine mastitis, milk yield R. Bras. Zootec., v.33, n.3, p.623-634 IntroduçãoNo Brasil, a produção de leite, como os outros segmentos da atual sociedade, é uma atividade cada vez mais competitiva. Portanto, é importante quantificar e qualificar os fatores que podem influenciá-la, buscando ganhos efetivos na quantidade e qualidade do leite produzido, na tentativa de suprir a demanda nacional.O fator que mais contribui para as perdas econô-micas da cadeia ...

Foram analisadas produções acumuladas de leite até 305 dias (P305) e contagens de células somáticas (CCS) pertencentes a lactações de vacas Holandesas, cujas ordens de parto variaram de 1 a 5. A CCS foi transformada para escore de célula somática (ECS) e analisada como variável dependente e independente. Verificou-se, no primeiro caso, a influência de rebanho, do ano, do mês e da ordem do parto sobre o ECS na lactação, enquanto, no segundo caso, avaliou-se o efeito do ECS sobre a produção de leite. Foram observados efeitos significativos do ano, do mês e da ordem do parto sobre o ECS. O estudo do efeito do ECS sobre a produção de leite demonstrou a ocorrência de perdas significativas na P305, conseqüência relação linear e negativa entre essas duas variáveis. O ECS afetou de maneira diferente a P305 para cada ordem de parto estudada, tendo maior influência sobre as P305 após o terceiro parto. Embora a mastite clínica acarrete, aparentemente, maiores perdas econômicas, a prevenção e o controle da mastite subclínica devem merecer especial atenção dos produtores de leite, pois sua ocorrência pode não ser tão evidente como a da mastite clínica, mas sua prevalência é muito maior, ocasionando perdas significativas na eficiência econômica dos rebanhos leiteiros.

A total of 635 raw milk samples from 45 dairy farms, from three regions of São Paulo state - Brazil, were evaluated during 15 months for aflatoxin M1 (AFM1). AFM1 was determined by high performance liquid chromatograph with fluorescence detection. AFM1 was detected (>0.003 µg kg(-1)) in 72.9%, 56.3% and 27.5% of the samples from Bauru, Araçatuba and Vale do Paraíba regions, respectively. The mean AFM1 contamination considering all the samples was 0.021 µg kg(-1). Furthermore, the concentration of AFM1 was quite different among Bauru (0.038 µg kg(-1)), Araçatuba (0.017 µg kg(-1)) and Vale do Paraíba (<0.01 µg kg(-1)) regions. Only three samples (0.5%) had higher contamination than the tolerated limit in Brazil (0.50 µg kg(-1)) and 64 samples (10.1%) had a higher contamination than the maximum limit as set by the European Union (0.050 µg kg(-1)). The estimated AFM1 daily intake was 0.358 and 0.120 ng kg(-1) body weight per day for children and adults, respectively.

RESUMOAvaliou-se o efeito da variação da qualidade do leite mediante acompanhamento de amostras provenientes de tanques refrigeradores. As 2.970 amostras foram obtidas de outubro/2005 a setembro/2006. Foram realizadas análises de composição, contagem de células somáticas (CCS) e contagem bacteriana total. As condições climáticas foram avaliadas pela temperatura e umidade do ar coletadas em estações meteorológicas distribuídas em todo o estado de São Paulo. No outono, ocorreram os maiores valores para gordura e proteína do leite, 3,65 e 3,21%, respectivamente. Para contagem de células somáticas, foi observado aumento no verão e contagem bacteriana na época da primavera. Foi identificada a influência da época do ano sobre o preço do leite pago dentro de um programa, com valor de bonificação máxima de 7,9% para o outono. Um dos mais importantes itens relacionados com a penalização foi a CCS, a qual pode interferir na qualidade dos produtos finais por meio de alteração da proporção de caseína/proteínas do soro. O efeito da CCS e o da época do ano devem ser considerados na formulação das tabelas de programas de pagamento.

The aim of this study was to evaluate the application of the methodology of Fourier Transform Infrared spectroscopy (FT‐IR) to the identification of adulterated raw milk. A reference spectrum with 800 representative samples of the study area was built. Through the analysis of principal components, equations with a distinct number of factors were developed. For the validation test, 100 adulterated samples were used at three different concentrations of sodium bicarbonate, sodium citrate and non‐acid cheese whey. Results indicate that the FT‐IR can be used for the identification of adulterated milk with 0,05% and 0,075% of sodium bicarbonate and citrated respectively.

Adulteration of milk is a common practice that concerns regulatory agencies, industry, and the population. Despite the growing need for checking adulteration, the current methods employed generally have low performance and are highly dependent on manual labor. This study aims to calibrate and validate a compact equipment (MilkoScan FT1) that adopts a Fourier transform infrared spectroscopy methodology to monitor adulteration in raw milk. Almost 2500 milk samples were used for reference spectrum construction and 1650 samples were used to validate the identification of the following five most commonly used adulterants (at three different concentrations each): (1) cornstarch, (2) sodium bicarbonate, (3) sodium citrate, (4) formaldehyde, and (5) saccharose, plus the additions of two levels of water or whey. To define the calibration with the best performance in milk adulteration identification, 12 calibrations involving 8, 10, 12, 14, 16, or 18 factors, with one or two outlier eliminations, were developed. The results of sensitivity and specificity analyses, as well as Kruskal-Wallis and Dunn multiple comparison tests, revealed that the calibration that best identified the adulterants was the one involving 14 factors, with a single elimination of outliers, exhibiting for all adulterants simultaneously, 84% sensitivity and 100% specificity. The calibration showed excellent sensitivity to cornstarch (>98%), sodium bicarbonate (100%), sodium citrate (99%), and formaldehyde (>84%), indicating that this calibration has good capacity for adulteration detection. Thus, this methodology is a viable option for the dairy industry to identify adulteration of raw milk.