Causas de variação da produção de leite em um rebanho da raça Holandesa em São Carlos, SP

Barbosa, Pedro; Cruz, G. M. da; Costa, J. N. da; Rodrigues, A. de A.

doi:10.1590/s1516-35981999000500010

Cited by 3 publications

(7 citation statements)

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“…This result may be linked to the greater occurrence of diseases such as mastitis and lymphadenitis in the rainy season due to the higher humidity and temperature, which favors pathogens. Barbosa et al (1999), working with AMY, also found higher results for milk production of goats that delivered kids in the dry season. Since the highest milk production occurs close to the kidding time and goats are more sensitive during the lactation peaks, it is believed that the reasons for the difference in milk production are the same.…”

Section: Resultsmentioning

confidence: 94%

“…Many factors that may influence milk production were described by Barbosa et al (1999), and KY, KS, age of the cow at kidding, GG, length of the lactation period, and the bull are the most factors studied. Other factors such as calf sex, origin of the reproducer, variety of hair, and cause of the end of lactation are the least studied factors.…”

Section: Resultsmentioning

confidence: 99%

“…There are many studies in the literature regarding the choice of fixed effects to include in models evaluating accumulated milk yield (AMY), as described in the reports of Barbosa et al (1999), Soares Filho et al (2001, Pereira et al (2008b), and Brito et al (2009). Nevertheless, studies evaluating test day milk yield (TDMY) or milk constituents on test day are rare.…”

Section: Introductionmentioning

confidence: 99%

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Factors that influence the test day milk yield and composition

Silva

Brito²,

Torres³

et al. 2013

Genet. Mol. Res.

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ABSTRACT. The objective of this research was to study the factors that influence the test day milk yield (TDMY) and percentages of protein, fat, lactose, and total dry extract obtained on test day. We evaluated 110,732 weekly milk production records from 1496 goats and 19,271 monthly milk constituent records from 1245 Alpine and Saanen goats, which were collected from 1997 to 2010 in the goat sector at Universidade Federal de Viçosa. To ensure greater record reliability, only lactation data with kidding order between 1 to 6, type of kidding data including 0 to 3 kids, milk control years after 1997, and genetic groupings other than types 7 or 9 were considered, due to the relative lack of information recorded for some classes of these factors. Data in which the reported milk days were less than 7 or greater than 315 were also eliminated. Goats aged greater than 300 days at calving and those aged less than 6 years at control were considered in this study. Milk production was higher in the dry season in comparison to the rainy season. Genetic grouping did not influence all traits in both breedings. The TDMY tended to increase along with increasing age of the goats at kidding, while the opposite trend was observed relative to Factors that influence the test day milk yield and composition kidding order. Factors that significantly influenced all of the studied traits varied, and the factors that significantly influenced each trait were altered between the relationship of Alpine and Saanen breeds. Thus, the analysis of factors that influence traits to be evaluated in the herd under study is critical for defining the best evaluation model.

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Section: Resultsmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors that influence the test day milk yield and composition

Silva

Brito²,

Torres³

et al. 2013

Genet. Mol. Res.

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“…É amplamente reconhecido que a ordem de lactação, ou idade da vaca, afeta a produção de leite. Vários autores, incluindo Almeida et al (1997), Balieiro et al (1997), Barbosa et al (1996Barbosa et al ( , 1997, Costa et al (1982), Gabriel et al (1998), Lopes et al (1996), Matos et al (1996), Miller et al (1967), Mota et al (1996), Pires (1984), Ribas et al (1996a,b), Van Vleck & Henderson (1961), dentre outros, mostraram que a idade da vaca, ou a ordem de lactação, influencia significativamente as produções mensais e/ou totais de leite.…”

Section: Ordem De Lactaçãounclassified

“…No Brasil, a época do parto, ou estação de parição, tem sido relatada por muitos como um fator que influencia a produção de leite de vacas da raça Holandesa, ou mestiças (Almeida et al, 1997;Barbosa et al, 1996Barbosa et al, , 1997Balieiro et al, 1997;Costa et al, 1982;Gabriel et al, 1998;Gasparino, 1996;Matos et al, 1996;Mota et al, 1996;Queiroz et al, 1987;Ribas et al, 1996b), todavia, alguns autores não encontraram diferenças significativas (Lopes et al, 1996;Mcnanus et al, 1997;Neiva et al, 1992;Pires, 1984 (2000), Freitas et al (1997), Gasparino (1996), Matos et al (1996), Ribas et al (1996b), Teixeira et al (1997). Entretanto, nenhum desses relatou efeito não significativo de rebanho.…”

Section: éPoca Do Partounclassified

Contagem de células somáticas e produção de leite em vacas holandesas confinadas

Coldebella¹,

Machado²,

Demétrio³

et al.

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FAPESP), o auxílio financeiro. À Escola Superior de Agricultura "Luiz de Queiroz" (ESALQ), que desde de seus primórdios foi inovadora e incentivadora das pesquisas voltadas para ag ropecuária brasileira, por acolher e formar mais um de seus alunos. Ao professor Paulo Fernando Machado, a orientação e a dedicação sempre presentes, os conselhos de amigo que foi, e por nunca duvidar da minha capacidade como profissional. À professora Clarice Garcia Borges Demétrio, a coorientação, a amizade e a presteza na sua colaboração neste trabalho. Ao professor Paulo Justiniano Ribeiro Júnior, suas sugestões criativas e a sincera amizade que sempre esteve presente. Ao professor Gabriel Adrian S arriés, o incentivo no início desta caminhada. Aos professores Wilson Roberto Soares Mattos, Décio Barbin e João Walter Dürr, a participação no exame de qualificação e as sugestões para melhoria deste trabalho. Aos professores e funcionários do Departame nto de Produção Animal, por tornarem possível a minha estada nesse curso. v Aos professores e funcionários do Departamento de Ciências Exatas, por fazerem parte da minha formação de mestrado, e por trazerem informações inestimáveis para o meu doutoramento. Aos funcionários da Clínica do Leite, o trabalho árduo que dedicam a essa instituição, e principalmente, a amizade e o companheirismo. À Fazenda Colorado, em especial ao proprietário Lair Antonio de Souza e aos médicos veterinários Antônio Carlos Sobreira e Sergio Soriano, e demais funcionários, que permitiram e viabilizaram a execução deste trabalho na fazenda. À Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Centro Nacional de Pesquisa de Suínos e Aves (CNPSA). Aos meus colegas de pós-graduação, em especial ao Carlos, à Paula, à Karyne e ao Laerte , a amizade e o companheirismo. À família Alves, por me acolher desde o início da caminhada na pós-graduação e por sempre se fazer presente. À minha família, fonte de alegria e de força para continuar a caminhar e a crescer sempre. À minha amada esposa, Auria, que não mediu esforços para que eu chegasse até aqui, contemplando mais um importante dia na minha vida. Enfim, a todos e a tudo, que de alguma forma colaboraram com este trabalho, o meu muito obrigado!!! SUMÁRIO Página RESUMO.

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Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle

Cardona-Cifuentes

Herrera

et al. 2021

Semina: Ciênc. Agrár.

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The use of molecular markers to identify desirable genes in animal production is known as marker-assisted selection. The traditional genetic evaluation model uses the BLUP methodology; when genetic markers are included in the evaluation model, the methodology is known as M-BLUP. In contrast, random regression models (RRM), unlike the models based on production at 305 days, consider factors that change for each animal from one test to another. The objective of this study was to compare variance components, genetic parameters and breeding values for milk production, protein percentage and somatic cell score in Colombian Holstein cattle using BLUP, M-BLUP and RRM. For the estimation of genetic parameters and values, 2003 lactations corresponding to 1417 cows in 55 herds were used, and effects of the order of delivery, herd, and contemporary group were included. The three traits presented greater heritability under the MBLUP model: 0.44 for protein percentage, 0.27 for milk production and 0.28 for somatic cell score. This was because the genetic variance was greater when M-BLUP was used, which allowed a greater accuracy of the breeding value estimation in the three traits. Therefore, the model that includes information on molecular markers is more suitable for genetic evaluation in Colombian Holstein cattle.

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Causas de variação da produção de leite em um rebanho da raça Holandesa em São Carlos, SP

Cited by 3 publications

References 0 publications

Factors that influence the test day milk yield and composition

Factors that influence the test day milk yield and composition

Contagem de células somáticas e produção de leite em vacas holandesas confinadas

Comparison of random regression models, traditional animal model and with the inclusion of molecular markers in the estimation of genetic parameters in Colombian Holstein cattle

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