Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1139353
Title: Discrimination of varietal groups and hybrids of coffea canephora species using multivariate analysis.
Authors: OLIVEIRA, G. F.
MIRANDA, T. L. R.
NASCIMENTO, A. C. C.
NASCIMENTO, M.
CAIXETA, E. T.
SILVA, L. de F.
ALKIMIM, E. R.
SILVA, F. L. da
Affiliation: GABRIELA FRANÇA OLIVEIRA, UFV; TAIANA LOPES RANGEL MIRANDA, UFV; ANA CAROLINA CAMPANA NASCIMENTO, UFV; MOYSÉS NASCIMENTO, UFV; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; LETÍCIA DE FARIA SILVA, UFV; EMILLY RUAS ALKIMIM, UFTM; FELIPE LOPES DA SILVA, UFV.
Date Issued: 2021
Citation: Revista Brasileira de Biometria, v. 39, n. 1, p. 194-201, 2021.
Description: Coffee growing is one of the most important agricultural activities in the world market. Among the commercially relevant species, there is Coffea canephora,which can be divided into the varietal groups Conilon and Robusta. These varietal groups have complementary agronomic interests. Because of this, hybrids are obtained through the crosses between these groups. Given the difficulty in differentiating between two varietal groups genotypes in the field, the correct discrimination is essential for the definition of crosses in breeding programs. In this context, the objective was to apply a discriminant analysis (DA) to define functions to differentiate between varietal groups and hybrids of canephora, as well as to identify the most relevant phenotypic traits in these functions. Data from 165 genotypes from the Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural e do Centro Agronómico Tropical de Investigación y Enseñanza were used for which different plant traits were measured. The quadratic DA applied was the one with the best performance for genotype discrimination, with an average apparent error rate of 0.0333. Cercosporiose incidence, rust incidence and vegetative vigor were the most important traits in the varietal groups' discrimination.
Thesagro: Café Robusta
NAL Thesaurus: Discriminant analysis
Coffea
Multivariate analysis
DOI: https://doi.org/10.28951/rbb.v39i1.525
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (SAPC)

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