Diversity among genotypes of conilon coffee selected in Espírito Santo State.

The use of multivariate techniques for factor analysis is an efficient alternative for coffee breeding programs. This study aimed to evaluate the genetic diversity of 60 genotypes of conilon coffee based on agronomic performance in the northern state of Espírito Santo and to estimate the relative co...

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Detalhes bibliográficos
Autores: RODRIGUES, W. N., TOMAZ, M. A., FERRAO, M. A. G., FERRÃO, R. G., FONSECA, A. F. A. da
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2015
País:Brasil
Recursos:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
Repositório:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Idioma:inglês
OAI Identifier:oai:www.alice.cnptia.embrapa.br:doc/1040795
Acesso em linha:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1040795
Access Level:Acceso aberto
Palavra-chave:Coffea Canephora
Breeding
Biometry
Clones
Descrição
Resumo:The use of multivariate techniques for factor analysis is an efficient alternative for coffee breeding programs. This study aimed to evaluate the genetic diversity of 60 genotypes of conilon coffee based on agronomic performance in the northern state of Espírito Santo and to estimate the relative contribution of different agronomic characteristics towards the diversity of the species. The data were collected in an experiment conducted on the Experimental Farm of Bananal do Norte (Instituto Capixaba de Pesquisa, Assistência Técnica e Extenção Rural ? INCAPER) in the southern state of Espírito Santo, and 12 agronomic characteristics were evaluated over four sequential harvests (4 years). Significant differences between the genotypes were observed for all of the characteristics, indicating the possibility of exploiting the high genetic variability to classify the genotypes into different groups based on their similarities. Of the agronomic characteristics, the duration of the ripening cycle was the variable that contributed the most to the variability among the 60 genotypes, with a relative contribution of 70.02%.