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: | por |
Título da fonte: | Agro@mbiente on-line |
Texto Completo: | https://revista.ufrr.br/agroambiente/article/view/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 Components. Phenotypic Correlations. Genetic Improvement.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.UFRR2020-04-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/602210.18227/1982-8470ragro.v14i0.6022AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 14 (2020)REVISTA AGRO@MBIENTE ON-LINE; Vol. 14 (2020)REVISTA AGRO@MBIENTE ON-LINE; v. 14 (2020)1982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/6022/2863Copyright (c) 2020 REVISTA AGRO@MBIENTE ON-LINEinfo:eu-repo/semantics/openAccessCabral Maia, Maria Clideanade Araújo, Lúcio Borgesdos Santos Dias, Carlos Tadeude Oliveira, Luís CláudioLopes Vasconcelos, Lucio Flavoda Costa Lima, Paulo Sarmanho2020-12-16T13:47:07Zoai:oai.revista.ufrr.br:article/6022Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2020-12-16T13:47:07Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)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) Cabral Maia, Maria Clideana Principal Components. Phenotypic Correlations. Genetic Improvement. |
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 |
Cabral Maia, Maria Clideana |
author_facet |
Cabral Maia, Maria Clideana de Araújo, Lúcio Borges dos Santos Dias, Carlos Tadeu de Oliveira, Luís Cláudio Lopes Vasconcelos, Lucio Flavo da Costa Lima, Paulo Sarmanho |
author_role |
author |
author2 |
de Araújo, Lúcio Borges dos Santos Dias, Carlos Tadeu de Oliveira, Luís Cláudio Lopes Vasconcelos, Lucio Flavo da Costa Lima, Paulo Sarmanho |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Cabral Maia, Maria Clideana de Araújo, Lúcio Borges dos Santos Dias, Carlos Tadeu de Oliveira, Luís Cláudio Lopes Vasconcelos, Lucio Flavo da Costa Lima, Paulo Sarmanho |
dc.subject.por.fl_str_mv |
Principal Components. Phenotypic Correlations. Genetic Improvement. |
topic |
Principal Components. Phenotypic Correlations. Genetic Improvement. |
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 |
2020-04-14 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revista.ufrr.br/agroambiente/article/view/6022 10.18227/1982-8470ragro.v14i0.6022 |
url |
https://revista.ufrr.br/agroambiente/article/view/6022 |
identifier_str_mv |
10.18227/1982-8470ragro.v14i0.6022 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revista.ufrr.br/agroambiente/article/view/6022/2863 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 REVISTA AGRO@MBIENTE ON-LINE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 REVISTA AGRO@MBIENTE ON-LINE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRR |
publisher.none.fl_str_mv |
UFRR |
dc.source.none.fl_str_mv |
AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 14 (2020) REVISTA AGRO@MBIENTE ON-LINE; Vol. 14 (2020) REVISTA AGRO@MBIENTE ON-LINE; v. 14 (2020) 1982-8470 reponame:Agro@mbiente on-line instname:Universidade Federal de Roraima (UFRR) instacron:UFRR |
instname_str |
Universidade Federal de Roraima (UFRR) |
instacron_str |
UFRR |
institution |
UFRR |
reponame_str |
Agro@mbiente on-line |
collection |
Agro@mbiente on-line |
repository.name.fl_str_mv |
Agro@mbiente on-line - Universidade Federal de Roraima (UFRR) |
repository.mail.fl_str_mv |
||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br |
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1799770041540935680 |