Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 2
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Genetic Improvement of Livestock for Organic Farming Systems Organic Eprints
Boelling, D.; Groen, A.F.; Sørensen, P.; Madsen, P.; Jensen, J..
Organic farming which experienced a constant rise over the last two decades is a system based on sustainability and on a concept tending towards functional integrity. Legislation as well as the wish to produce separately from conventional farming raise the question whether organic farming should be conducted completely apart from conventional farming or not. This paper discusses the aspects that affect animal breeding under these circumstances, e.g., maintaining genetic diversity by using local breeds and possible G×E interactions which might occur when breeds adapted to conventional farming systems are used in organic farming. Ways of modelling G×E are presented, moreover examples of G×E in dairy cattle, swine, and poultry are given. Trends in selection...
Tipo: Journal paper Palavras-chave: Breeding and genetics.
Ano: 2003 URL: http://orgprints.org/1343/1/livestock_Boelling.pdf
Imagem não selecionada

Imprime registro no formato completo
Bayesian analysis of the linear reaction norm model with unknown covariate Organic Eprints
Su, G.; Madsen, P.; Lund, M.S.; Sørensen, D.; Korsgaard, I.R.; Jensen, J..
The reaction norm model is becoming a popular approach for the analysis of G x E interactions. In a classical reaction norm model, the expression of a genotype in different environments is described as a linear function (a reaction norm) of an environmental gradient or value. A common environmental value is defined as the mean performance of all genotypes in the environment, which is typically unknown. One approximation is to estimate the mean phenotypic performance in each environment, and then treat these estimates as known covariates in the model. However, a more satisfactory alternative is to infer environmental values simultaneously with the other parameters of the model. This study describes a method and its Bayesian MCMC implementation that makes...
Tipo: Journal paper Palavras-chave: Breeding and genetics.
Ano: 2006 URL: http://orgprints.org/6045/1/6045.pdf
Registros recuperados: 2
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional