Comportamento em sala de ordenha e níveis séricos dos hormônios cortisol, T3 e T4 de ovelhas da raça Bergamácia sob três diferentes sistemas de produção

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Detecção microbiológica e molecular de Staphylococcus aureus em amostras de leite bovino obidas de tanques de expansão-correlação com a presença de resíduos de antibióticos

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fluxo lácteo em búfalas (Bubalus bubalis): aspectos ambientais e genéticos

Pós-graduação em Zootecnia - FCAV

Caracterização do leite e do queijo de ovelhas da raça bergamácia suplementadas com óleo ou farelo de linhaça (Linum usitassimum L.)

Pós-graduação em Zootecnia - FMVZ

Genetic Parameters for Milk Yield and Lactation Length of Crossbred Buffaloes from Brazil by Bayesian Inference

The objective of the study was to estimate heritability and repeatability for milk yield (MY) and lactation length (LL) in buffaloes using Bayesian inference. The Brazilian genetic improvement program of buffalo provided the data that included 628 females, from four herds, born between 1980 and 2003. In order to obtain the estimates of variance, univariate analyses were performed with the Gibbs sampler, using the MTGSAM software. The model for MY and LL included direct genetic additive and permanent environment as random effects, and contemporary groups, milking frequency and calving number as fixed effects. The convergence diagnosis was performed with the Geweke method using an algorithm implemented in R software through the package Bayesian Output Analysis. Average for milk yield and lactation length was 1,546.1 +/- 483.8 kg and 252.3 +/- 42.5 days, respectively. The heritability coefficients were 0.31 (mode), 0.35 (mean) and 0.34 (median) for MY and 0.11 (mode), 0.10 (mean) and 0.10 (median) for LL. The repeatability coefficient (mode) were 0.50 and 0.15 for MY and LL, respectively. Milk yield is the only trait with clear potential for genetic improvement by direct genetic selection. The repeatability for MY indicates that selection based on the first lactation could contribute for an improvement in this trait.

Genetic Parameter Estimates for Milk Yield and Lactation Length in Buffalo

The objective of this study was to estimate genetic parameters for milk yield at 244 days and lactation length in graded buffalo cows at the El Cangre Cattle Genetic Enterprise. Data were gathered from 2575 lactations, 1377 buffalo cows, 37 milking units and between 2002-2009 calving years. It was employed the Restricted Maximum Likelihood method (REML) for estimating (co) variance components with multi trait model. Average of milk yield at 244 days and lactation length were 864 kg and 240 days, respectively. Heritability was 0.15 for milk yield and 0.13 for lactation length. Genetic correlation between these traits was 0.63. It was concluded that it is necessary to intensify selection and to increase control of the information of the genetic herds to obtain high precision in the estimates and therefore, obtain bigger genetic progress in of this species in our country.

Genetic Parameters for Productive and Reproductive Traits for Milk Buffalo in Brazil

Knowing the genetic parameters of productive and reproductive traits in milking buffaloes is essential for planning and implementing of a program genetic selection. In Brazil, this information is still scarce. The objective of this study was to verify the existence of genetic variability in milk yield of buffaloes and their constituents, and reproductive traits for the possibility of application of the selection. A total of 9,318 lactations records from 3,061 cows were used to estimate heritabilities for milk yield (MY), fat percentage (%F), protein percentage (%P), length of lactation (LL), age of first calving (AFC) and calving interval (CI) and the genetic correlations among traits MY, %F and %P. The (co) variance components were estimated using multiple-trait analysis by Bayesian inference method, applying an animal model, through Gibbs sampling. The model included the fixed effects of contemporary groups (herd-year and calving season), number of milking (2 levels), and age of cow at calving as (co) variable (quadratic and linear effect). The additive genetic, permanent environmental, and residual effects were included as random effects in the model. Estimated heritability values for MY, % F, % P, LL, AFC and CI were 0.24, 0.34, 0.40, 0.09, 0.16 and 0.05, respectively. The genetic correlation estimates among MY and % F, MY and % P and % F and % P were -0.29, -0.18 and 0.25, respectively. The production of milk and its constituents showed enough genetic variation to respond to a selection program. Negative estimates of genetic correlations between milk production and its components suggest that selection entails a reduction in the other.

Multiple-trait genomic evaluation for milk yield and milk quality traits using genomic and phenotypic data in buffalo in Brazil

The use of markers distributed all long the genome may increase the accuracy of the predicted additive genetic value of young animals that are candidates to be selected as reproducers. In commercial herds, due to the cost of genotyping, only some animals are genotyped and procedures, divided in two or three steps, are done in order to include these genomic data in genetic evaluation. However, genomic evaluation may be calculated using one unified step that combines phenotypic data, pedigree and genomics. The aim of the study was to compare a multiple-trait model using only pedigree information with another using pedigree and genomic data. In this study, 9,318 lactations from 3061 buffaloes were used, 384 buffaloes were genotyped using a Illumina bovine chip (Illumina Infinium (R) bovineHD BeadChip). Seven traits were analyzed milk yield (MY), fat yield (FY), protein yield (PY), lactose yield (LY), fat percentage (F%), protein percentage (P%) and somatic cell score (SCSt). Two analyses were done: one using phenotypic and pedigree information (matrix A) and in the other using a matrix based in pedigree and genomic information (one step, matrix H). The (co) variance components were estimated using multiple-trait analysis by Bayesian inference method, applying an animal model, through Gibbs sampling. The model included the fixed effects of contemporary groups (herd-year-calving season), number of milking (2 levels), and age of buffalo at calving as (co) variable (quadratic and linear effect). The additive genetic, permanent environmental, and residual effects were included as random effects in the model. The heritability estimates using matrix A were 0.25, 0.22, 0.26, 0.17, 0.37, 0.42 and 0.26 and using matrix H were 0.25, 0.24, 0.26, 0.18, 0.38, 0.46 and 0.26 for MY, FY, PY, LY, % F, % P and SCCt, respectively. The estimates of the additive genetic effect for the traits were similar in both analyses, but the accuracy were bigger using matrix H (superior to 15% for traits studied). The heritability estimates were moderated indicating genetic gain under selection. The use of genomic information in the analyses increases the accuracy. It permits a better estimation of the additive genetic value of the animals.

Temperamento de búfalas em lactação e suas relações com o uso do espaço e a produção e qualidade do leite

Pós-graduação em Zootecnia - FCAV

Random regression models using different functions to model milk flow in dairy cows

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Monitoramento da Qualidade do leite: Procedimentos Diagnósticos

Means for milk, not otherwise specified, the product from complete and uninterrupted milking , in a hygienic, healthy cows, well fed and rested. The milk of other animals must be called according to origin of species. One of the main characteristics that defined the milk is the set of their sensory characteristics, and the main flavor. The control of milk quality in Brazil has been an important factor for the consolidation of the entire production chain, passing necessarily by the dairy industry. The production of milk with good quality guarantees, of course, food safety for consumers. The measures to obtain milk begin on the property, in carrying out correct procedures for milking, storage and transportation of the product also in the dairy. Later, in the laboratory evaluation of physicochemical properties, research fraud, and microbiological examinations. Finally, measures of health education are need for producers to become aware of the economic benefits by obtaining a better quality milk. The objective of this review is to emphasize the importance of using diagnostic procedures methods for the control of mastitis and consequently obtain better Milk quality

Práticas higiênico-sanitárias na ordenha de vacas e percepção de risco de produtores rurais no Estado de São Paulo

Pós-graduação em Ciência Animal - FMVA

Estudo fenotípico e genotípico da produção de biofilme por Staphylococcus aureus isolados de leite bubalino e ambiente de ordenha

Pós-graduação em Microbiologia Agropecuária - FCAV

Aspectos socioeconômicos, indicadores de qualidade do leite e pesquisa de linhagens toxigênicas de Staphylococcus em propriedades de agricultura familiar de Botucatu, SP

Pós-graduação em Medicina Veterinária - FMVZ

Research of Klebsiella pneumoniae in dairy herds

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)