226 resultados para Milking parlors
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Pós-graduação em Zootecnia - FCAV
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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O estudo é uma ação de pesquisa do projeto "Sustentabilidade da pecuária leiteira da agricultura familiar da Amazônia Oriental", desenvolvido pela Embrapa Amazônia Oriental e propôs determinar os principais problemas da nutrição mineral nos sistemas de produção leiteira de pequenas e médias propriedades na microrregião de Castanhal (MrC) e no município de Uruará (MuU), Estado do Pará. Como objetivos específicos visou definir as características da suplementação mineral efetuada nas propriedades, bem como analisar o conteúdo mineral das pastagens formadas de Brachiaria brizantha cv. Marandu. Para isso, foram utilizados dois estudos sendo que no primeiro foram definidas as características da suplementação mineral nos sistemas de produção leiteira de ambos os locais estudados através de um questionário/entrevista. Dos dados obtidos pelo questionário/entrevista foram extraídas 22 variáveis consideradas importantes que foram classificadas em quatro grupos principais. Utilizou-se a estatística descritiva aplicando-se o teste de Qui-quadrado ao nível de 5% de probabilidade para determinação das diferenças testadas. No segundo estudo foram colhidas amostras de Brachiaria brizantha cv. Marandu em duas propriedades da MrC e quatro do MuU. As amostras de forragem foram colhidas em dois períodos distintos do ano, final do período seco (novembro/1998) e final do período chuvoso (junho/1999) para determinação de cálcio (Ca), fósforo (P), magnésio (Mg), sódio (Na), potássio (K), cobre (Cu), zinco (Zn), ferro (Fe), manganês (Mn) e cobalto (Co). O delineamento experimental utilizado para a amostragem da forragem foi inteiramente casualisado considerando os dois locais estudados (MrC e MuU) como sendo dois fatores e os dois períodos do ano (chuvoso e seco) foram considerados como sub-parcelas. A análise de variância foi realizada pelo método de mínimos quadrados e o teste F foi utilizado ao nível de 5% para testar os efeitos. O teste de Tukey foi utilizado para comparação das médias. Na microrregião de Castanhal, a Brachiaria brizantha cv. Marandu não atendeu as necessidades de P, Na, Cu e Zn sugeridas para bovinos de corte, categoria vacas em lactação e demonstra a necessidade de suplementação mineral via cocho. Apesar da atividade leiteira ser mais antiga nessa microrregião, os criadores não conseguem distinguir as necessidades diferenciadas de requerimento dentro das categorias de produção animal. Esse desconhecimento deve ser considerado como um importante fator de restrição de produtividade. Particularmente nessa microrregião, a baixa concentração de P na forragem durante o período chuvoso parece agravar o problema da deficiência mineral por se tratar de um período de maior disponibilidade protéicoenergético da forragem, fazendo com que o animal requeira maiores quantidades do elemento fósforo na dieta. No município de Uruará, a Brachiaria brizantha cv. Marandu não atendeu as necessidades de P, Na e Cu, sugeridas pelo NRC (1986) para bovinos de corte, categoria vacas em lactação e demonstra também a necessidade de suplementação mineral via cocho. Nesse município, observou-se um baixo consumo de mistura mineral e as condições dos cochos eram precárias. A localização do cocho dentro do curral e o acesso somente durante o período de ordenha inibiu o consumo de mistura minera!. A freqüência elevada de relatos de apetite depravado, atraso no cio, fratura espontânea, diminuição do apetite e emagrecimento dos animais, são sintomas sugestivos de deficiência clínica de P e Cu sintetizam a baixa qualidade da nutrição dos animais neste local.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Zootecnia - FCAV
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Pós-graduação em Zootecnia - FMVZ
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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.
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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.
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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.
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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.
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Pós-graduação em Zootecnia - FCAV
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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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
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Pós-graduação em Ciência Animal - FMVA