Early selection in a population of the mangaba (Hancornia speciosa Gomes).
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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 |
format |
article |
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 |
eu_rights_str_mv |
openAccess |
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) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503492178542592 |