Early selection in a population of the mangaba (Hancornia speciosa Gomes).

Detalhes bibliográficos
Autor(a) principal: MAIA, M. C. C.
Data de Publicação: 2020
Outros Autores: ARAUJO, L. B. de, DIAS, C. T. dos S., OLIVEIRA, L. C. de, VASCONCELOS, L. F. L., LIMA, P. S. da C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121858
http://dx.doi.org/10.18227/1982-8470ragro.v14i0.6022
Resumo: The mangaba is a fruit tree with great potential for the northeast of Brazil. Due to the scarcity of improved cultivars, and as it is a species that is still in the process of domestication, exploitation has been based on rational and sustainable extractivism by farmer-gatherers. The aim of this study was to analyse the correlations between technological variables of the mangaba, and to carry out an early selection of the genotypes that make up the base population of the mangaba improvement program of Embrapa Meio-Norte. The variables fruit weight, pulp weight and percentage pulp show significant correlation with fruit length and fruit diameter, allowing indirect selection for the first set of variables by means of the latter, which are easily measured. Genotypes 4, 13, 16, 21, 25, 32, 35 and 49 show a positive association with fruit weight, fruit length, fruit diameter, pulp weight and percentage weight, and are therefore candidates for selection. Principal component 1 is associated with fruit weight, fruit length, fruit diameter, skin weight, number of seeds per fruit, seed weight, TTA and pulp weight. These variables can be selected with greater mathematical certainty, since this component concentrates more information regarding variability and is therefore more important.
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spelling Early selection in a population of the mangaba (Hancornia speciosa Gomes).Principal componentesMangabaPhenotypic correlationGenetic improvementPrincipal component analysisThe mangaba is a fruit tree with great potential for the northeast of Brazil. Due to the scarcity of improved cultivars, and as it is a species that is still in the process of domestication, exploitation has been based on rational and sustainable extractivism by farmer-gatherers. The aim of this study was to analyse the correlations between technological variables of the mangaba, and to carry out an early selection of the genotypes that make up the base population of the mangaba improvement program of Embrapa Meio-Norte. The variables fruit weight, pulp weight and percentage pulp show significant correlation with fruit length and fruit diameter, allowing indirect selection for the first set of variables by means of the latter, which are easily measured. Genotypes 4, 13, 16, 21, 25, 32, 35 and 49 show a positive association with fruit weight, fruit length, fruit diameter, pulp weight and percentage weight, and are therefore candidates for selection. Principal component 1 is associated with fruit weight, fruit length, fruit diameter, skin weight, number of seeds per fruit, seed weight, TTA and pulp weight. These variables can be selected with greater mathematical certainty, since this component concentrates more information regarding variability and is therefore more important.MARIA CLIDEANA CABRAL MAIA, CNPAT; Lúcio Borges de Araújo, Matemático/Estatístico, Doutor, Universidade Federal de Uberlândia/UFU, Departamento de Ciências Exatas; Carlos Tadeu dos Santos Dias, Eng. Agrônomo, Doutor, Universidade Federal do Ceará /UFC Departamento de Ciências do Solo; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; LUCIO FLAVO LOPES VASCONCELOS, CPAMN; PAULO SARMANHO DA COSTA LIMA, CPAMN.MAIA, M. C. C.ARAUJO, L. B. deDIAS, C. T. dos S.OLIVEIRA, L. C. deVASCONCELOS, L. F. L.LIMA, P. S. da C.2020-04-28T04:39:38Z2020-04-28T04:39:38Z2020-04-272020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Agro@mbiente On-line, v. 14, 2020.1982-8470http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121858http://dx.doi.org/10.18227/1982-8470ragro.v14i0.6022enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-04-28T04:39:44Zoai:www.alice.cnptia.embrapa.br:doc/1121858Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-04-28T04:39:44falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-04-28T04:39:44Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Early selection in a population of the mangaba (Hancornia speciosa Gomes).
title Early selection in a population of the mangaba (Hancornia speciosa Gomes).
spellingShingle Early selection in a population of the mangaba (Hancornia speciosa Gomes).
MAIA, M. C. C.
Principal componentes
Mangaba
Phenotypic correlation
Genetic improvement
Principal component analysis
title_short Early selection in a population of the mangaba (Hancornia speciosa Gomes).
title_full Early selection in a population of the mangaba (Hancornia speciosa Gomes).
title_fullStr Early selection in a population of the mangaba (Hancornia speciosa Gomes).
title_full_unstemmed Early selection in a population of the mangaba (Hancornia speciosa Gomes).
title_sort Early selection in a population of the mangaba (Hancornia speciosa Gomes).
author MAIA, M. C. C.
author_facet MAIA, M. C. C.
ARAUJO, L. B. de
DIAS, C. T. dos S.
OLIVEIRA, L. C. de
VASCONCELOS, L. F. L.
LIMA, P. S. da C.
author_role author
author2 ARAUJO, L. B. de
DIAS, C. T. dos S.
OLIVEIRA, L. C. de
VASCONCELOS, L. F. L.
LIMA, P. S. da C.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv MARIA CLIDEANA CABRAL MAIA, CNPAT; Lúcio Borges de Araújo, Matemático/Estatístico, Doutor, Universidade Federal de Uberlândia/UFU, Departamento de Ciências Exatas; Carlos Tadeu dos Santos Dias, Eng. Agrônomo, Doutor, Universidade Federal do Ceará /UFC Departamento de Ciências do Solo; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; LUCIO FLAVO LOPES VASCONCELOS, CPAMN; PAULO SARMANHO DA COSTA LIMA, CPAMN.
dc.contributor.author.fl_str_mv MAIA, M. C. C.
ARAUJO, L. B. de
DIAS, C. T. dos S.
OLIVEIRA, L. C. de
VASCONCELOS, L. F. L.
LIMA, P. S. da C.
dc.subject.por.fl_str_mv Principal componentes
Mangaba
Phenotypic correlation
Genetic improvement
Principal component analysis
topic Principal componentes
Mangaba
Phenotypic correlation
Genetic improvement
Principal component analysis
description The mangaba is a fruit tree with great potential for the northeast of Brazil. Due to the scarcity of improved cultivars, and as it is a species that is still in the process of domestication, exploitation has been based on rational and sustainable extractivism by farmer-gatherers. The aim of this study was to analyse the correlations between technological variables of the mangaba, and to carry out an early selection of the genotypes that make up the base population of the mangaba improvement program of Embrapa Meio-Norte. The variables fruit weight, pulp weight and percentage pulp show significant correlation with fruit length and fruit diameter, allowing indirect selection for the first set of variables by means of the latter, which are easily measured. Genotypes 4, 13, 16, 21, 25, 32, 35 and 49 show a positive association with fruit weight, fruit length, fruit diameter, pulp weight and percentage weight, and are therefore candidates for selection. Principal component 1 is associated with fruit weight, fruit length, fruit diameter, skin weight, number of seeds per fruit, seed weight, TTA and pulp weight. These variables can be selected with greater mathematical certainty, since this component concentrates more information regarding variability and is therefore more important.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-28T04:39:38Z
2020-04-28T04:39:38Z
2020-04-27
2020
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Agro@mbiente On-line, v. 14, 2020.
1982-8470
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121858
http://dx.doi.org/10.18227/1982-8470ragro.v14i0.6022
identifier_str_mv Revista Agro@mbiente On-line, v. 14, 2020.
1982-8470
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121858
http://dx.doi.org/10.18227/1982-8470ragro.v14i0.6022
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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