Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado

Abstract: The objective of this work was to quantify the genetic variability of 213 conilon coffee accessions of the Robusta Tropical cultivar, based on chemical characteristics related to the quality of green coffee beans, as well as to identify promising accessions for the breeding program of irri...

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Main Authors: Felipe Augusto Alves Brige, Sonia Maria Costa Celestino, Renato Fernando Amabile, Marcelo Fagioli, Francisco Marcos dos Santos Delvico, Ana Paula Leite Montalvão, Pedro Ivo Aquino Leite Sala
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2019-09-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102804&tlng=en
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author Felipe Augusto Alves Brige
Sonia Maria Costa Celestino
Renato Fernando Amabile
Marcelo Fagioli
Francisco Marcos dos Santos Delvico
Ana Paula Leite Montalvão
Pedro Ivo Aquino Leite Sala
author_facet Felipe Augusto Alves Brige
Sonia Maria Costa Celestino
Renato Fernando Amabile
Marcelo Fagioli
Francisco Marcos dos Santos Delvico
Ana Paula Leite Montalvão
Pedro Ivo Aquino Leite Sala
author_sort Felipe Augusto Alves Brige
collection DOAJ
description Abstract: The objective of this work was to quantify the genetic variability of 213 conilon coffee accessions of the Robusta Tropical cultivar, based on chemical characteristics related to the quality of green coffee beans, as well as to identify promising accessions for the breeding program of irrigated conilon coffee in the Brazilian Cerrado. The chemical characteristics evaluated were: protein and caffeine contents, total soluble solids and total lipids, ether extract, pH, and total titratable acidity. The data were subjected to the principal component analysis and cluster analysis based on the similarities observed within the first two principal components using the minimum variance method (Wards) and, as a measure of similarity, the Euclidean distance. The three main components explained 72.64% of the total variation of the data. All characteristics, except pH, were correlated with the first three components. It was possible to separate the genotypes in three clusters, according to the similarities observed in the behavior of the variables. The evaluated accessions present genetic variability regarding the assessed quality characteristics of green coffee beans, and CPAC 160 and CPAC 32 are the most promising for the breeding program of conilon coffee for cultivation under irrigation in the Cerrado.
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spelling doaj.art-580b7cb726044fd8a78073884331d8532022-12-21T21:29:02ZengEmbrapa Informação TecnológicaPesquisa Agropecuária Brasileira1678-39212019-09-015410.1590/s1678-3921.pab2019.v54.00358Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the CerradoFelipe Augusto Alves Brigehttps://orcid.org/0000-0002-5064-2090Sonia Maria Costa Celestinohttps://orcid.org/0000-0001-9980-1649Renato Fernando Amabilehttps://orcid.org/0000-0002-6943-5817Marcelo Fagiolihttps://orcid.org/0000-0002-4924-5004Francisco Marcos dos Santos Delvicohttps://orcid.org/0000-0002-8837-0676Ana Paula Leite Montalvãohttps://orcid.org/0000-0002-5583-2272Pedro Ivo Aquino Leite Salahttps://orcid.org/0000-0002-0039-9838Abstract: The objective of this work was to quantify the genetic variability of 213 conilon coffee accessions of the Robusta Tropical cultivar, based on chemical characteristics related to the quality of green coffee beans, as well as to identify promising accessions for the breeding program of irrigated conilon coffee in the Brazilian Cerrado. The chemical characteristics evaluated were: protein and caffeine contents, total soluble solids and total lipids, ether extract, pH, and total titratable acidity. The data were subjected to the principal component analysis and cluster analysis based on the similarities observed within the first two principal components using the minimum variance method (Wards) and, as a measure of similarity, the Euclidean distance. The three main components explained 72.64% of the total variation of the data. All characteristics, except pH, were correlated with the first three components. It was possible to separate the genotypes in three clusters, according to the similarities observed in the behavior of the variables. The evaluated accessions present genetic variability regarding the assessed quality characteristics of green coffee beans, and CPAC 160 and CPAC 32 are the most promising for the breeding program of conilon coffee for cultivation under irrigation in the Cerrado.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102804&tlng=enCoffea canephorachemical compositiongenetic diversitymultivariate analysis
spellingShingle Felipe Augusto Alves Brige
Sonia Maria Costa Celestino
Renato Fernando Amabile
Marcelo Fagioli
Francisco Marcos dos Santos Delvico
Ana Paula Leite Montalvão
Pedro Ivo Aquino Leite Sala
Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado
Pesquisa Agropecuária Brasileira
Coffea canephora
chemical composition
genetic diversity
multivariate analysis
title Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado
title_full Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado
title_fullStr Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado
title_full_unstemmed Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado
title_short Genetic variability in conilon coffee related to grain attributes in an irrigated crop in the Cerrado
title_sort genetic variability in conilon coffee related to grain attributes in an irrigated crop in the cerrado
topic Coffea canephora
chemical composition
genetic diversity
multivariate analysis
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102804&tlng=en
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