Genetic diversity among soursop genotypes based on fruit production

Detalhes bibliográficos
Autor(a) principal: Sánchez, Carlos Felipe Barrera
Data de Publicação: 2017
Outros Autores: Lopes, Bruno Ermelindo, Teodoro, Paulo Eduardo, Garcia, Andrea Del Pilar, Peixoto, Leonardo de Azevedo, Silva, Lidiane Aparecida, Bhering, Leonardo Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bioscience journal (Online)
Texto Completo: https://seer.ufu.br/index.php/biosciencejournal/article/view/37421
Resumo: This study aimed to estimate the genetic diversity among soursop genotypes in terms of fruit yield evaluated in different crop years. Sixteen measurements for fruit yield in 71 soursop genotypes were carried out from 2000 to 2016. Based on ANOVA it was verified the existence of genetic variability among genotypes in the different measurements (harvests). The genotypes were clustered according to their respective fruit yield averages in the 16 years as well as from their means obtained in each measurement year by the Scott-Knott test (p<0.05). To study genetic diversity among genotypes, three methodologies were compared: Tocher hierarchical optimization, UPGMA method and principal components. Five groups were formed for all clustering methods used. It was identified that crossings between genotypes 124 and 145 with genotypes 59 and 170 are potential to generate population with large genetic variability and high fruit yield average. New researches should be developed aiming to exploit the genetic variability among soursop genotypes based on the results found in this study.
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spelling Genetic diversity among soursop genotypes based on fruit production Diversidade genética entre genótipos de graviola baseada na produtividade de frutos Annona muricataclusteringplant breedingbiometry.Agricultural SciencesThis study aimed to estimate the genetic diversity among soursop genotypes in terms of fruit yield evaluated in different crop years. Sixteen measurements for fruit yield in 71 soursop genotypes were carried out from 2000 to 2016. Based on ANOVA it was verified the existence of genetic variability among genotypes in the different measurements (harvests). The genotypes were clustered according to their respective fruit yield averages in the 16 years as well as from their means obtained in each measurement year by the Scott-Knott test (p<0.05). To study genetic diversity among genotypes, three methodologies were compared: Tocher hierarchical optimization, UPGMA method and principal components. Five groups were formed for all clustering methods used. It was identified that crossings between genotypes 124 and 145 with genotypes 59 and 170 are potential to generate population with large genetic variability and high fruit yield average. New researches should be developed aiming to exploit the genetic variability among soursop genotypes based on the results found in this study.O objetivo deste estudo foi estimar a diversidade genética entre genótipos de graviola em termos de produção de frutos avaliados em diferentes safras. Foram realizadas 16 medições de rendimento de frutos em 71 genótipos de graviola no período de 2000 a 2016. Com base na ANOVA, verificou-se a existência de variabilidade genética entre genótipos nas diferentes medidas (colheitas). Os genótipos foram agrupados de acordo com suas respectivas médias de rendimento de frutos nos 16 anos, bem como suas médias obtidas em cada ano de medição pelo agrupamento de médias de Scott-Knott. Para estudar a diversidade genética entre genótipos, foram aplicados a otimização hierárquica Tocher, método UPGMA e componentes principais. Cinco grupos foram formados para todos os métodos de agrupamento utilizados. Foi identificado que os cruzamentos entre os genótipos 124 e 145 com os genótipos 59 e 170 são promissores para gerarpopulação com grande variabilidade genética e alta média de produtividade de frutos. Novas pesquisas devem ser desenvolvidas com o objetivo de explorar a variabilidade genética entre os genótipos de graviola, com base nos resultados encontrados neste estudo.EDUFU2017-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3742110.14393/BJ-v34n1a2018-37421Bioscience Journal ; Vol. 34 No. 1 (2018): Jan./Feb.; 122-128Bioscience Journal ; v. 34 n. 1 (2018): Jan./Feb.; 122-1281981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/37421/21457Brazil; ContemporaryCopyright (c) 2017 Carlos Felipe Barrera Sánchez, Bruno Ermelindo Lopes, Paulo Eduardo Teodoro, Andrea Del Pilar Garcia, Leonardo de Azevedo Peixoto, Lidiane Aparecida Silva, Leonardo Lopes Bheringhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSánchez, Carlos Felipe BarreraLopes, Bruno ErmelindoTeodoro, Paulo EduardoGarcia, Andrea Del PilarPeixoto, Leonardo de AzevedoSilva, Lidiane AparecidaBhering, Leonardo Lopes2022-02-11T01:48:25Zoai:ojs.www.seer.ufu.br:article/37421Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-11T01:48:25Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv Genetic diversity among soursop genotypes based on fruit production
Diversidade genética entre genótipos de graviola baseada na produtividade de frutos
title Genetic diversity among soursop genotypes based on fruit production
spellingShingle Genetic diversity among soursop genotypes based on fruit production
Sánchez, Carlos Felipe Barrera
Annona muricata
clustering
plant breeding
biometry.
Agricultural Sciences
title_short Genetic diversity among soursop genotypes based on fruit production
title_full Genetic diversity among soursop genotypes based on fruit production
title_fullStr Genetic diversity among soursop genotypes based on fruit production
title_full_unstemmed Genetic diversity among soursop genotypes based on fruit production
title_sort Genetic diversity among soursop genotypes based on fruit production
author Sánchez, Carlos Felipe Barrera
author_facet Sánchez, Carlos Felipe Barrera
Lopes, Bruno Ermelindo
Teodoro, Paulo Eduardo
Garcia, Andrea Del Pilar
Peixoto, Leonardo de Azevedo
Silva, Lidiane Aparecida
Bhering, Leonardo Lopes
author_role author
author2 Lopes, Bruno Ermelindo
Teodoro, Paulo Eduardo
Garcia, Andrea Del Pilar
Peixoto, Leonardo de Azevedo
Silva, Lidiane Aparecida
Bhering, Leonardo Lopes
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sánchez, Carlos Felipe Barrera
Lopes, Bruno Ermelindo
Teodoro, Paulo Eduardo
Garcia, Andrea Del Pilar
Peixoto, Leonardo de Azevedo
Silva, Lidiane Aparecida
Bhering, Leonardo Lopes
dc.subject.por.fl_str_mv Annona muricata
clustering
plant breeding
biometry.
Agricultural Sciences
topic Annona muricata
clustering
plant breeding
biometry.
Agricultural Sciences
description This study aimed to estimate the genetic diversity among soursop genotypes in terms of fruit yield evaluated in different crop years. Sixteen measurements for fruit yield in 71 soursop genotypes were carried out from 2000 to 2016. Based on ANOVA it was verified the existence of genetic variability among genotypes in the different measurements (harvests). The genotypes were clustered according to their respective fruit yield averages in the 16 years as well as from their means obtained in each measurement year by the Scott-Knott test (p<0.05). To study genetic diversity among genotypes, three methodologies were compared: Tocher hierarchical optimization, UPGMA method and principal components. Five groups were formed for all clustering methods used. It was identified that crossings between genotypes 124 and 145 with genotypes 59 and 170 are potential to generate population with large genetic variability and high fruit yield average. New researches should be developed aiming to exploit the genetic variability among soursop genotypes based on the results found in this study.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-20
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://seer.ufu.br/index.php/biosciencejournal/article/view/37421
10.14393/BJ-v34n1a2018-37421
url https://seer.ufu.br/index.php/biosciencejournal/article/view/37421
identifier_str_mv 10.14393/BJ-v34n1a2018-37421
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/biosciencejournal/article/view/37421/21457
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
dc.publisher.none.fl_str_mv EDUFU
publisher.none.fl_str_mv EDUFU
dc.source.none.fl_str_mv Bioscience Journal ; Vol. 34 No. 1 (2018): Jan./Feb.; 122-128
Bioscience Journal ; v. 34 n. 1 (2018): Jan./Feb.; 122-128
1981-3163
reponame:Bioscience journal (Online)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Bioscience journal (Online)
collection Bioscience journal (Online)
repository.name.fl_str_mv Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv biosciencej@ufu.br||
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