Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones

Detalhes bibliográficos
Autor(a) principal: Araújo, Larissa Fatarelli Bento de
Data de Publicação: 2021
Outros Autores: Espindula, Marcelo Curitiba, Rocha, Rodrigo Barros, Torres, Josemar Dávila, Campanharo, Marcela, Pego, Wesley Franco Oliveira, Rosa, Samuel Elias de Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41989
Resumo: Knowledge of the expression of traits associated with drought tolerance is important to mitigate impacts on coffee production in a climate change scenario. This study aimed to understand the genetic divergence between Coffea canephora genotypes grown in the Western Amazon based on leaf vegetative and anatomical traits. For this, fifteen high-performance genotypes were evaluated in a randomized block design with five replications of one plant per plot to analyze three leaf vegetative traits (leaf area index, root volume, and total dry mass) and five leaf anatomical traits (polar and equatorial diameter, density and number of stomata, and stomatal area). The data were interpreted using analysis of variance and the Scott-Knott mean cluster test (p bigger, smaller 0.05). The Tocher optimization method and principal component analysis with reference points were used to quantify the genetic divergence. Tocher clustering separated the fifteen clones into five groups, and the scatter in the plane into three groups. Stomatal density was the trait that most contributed to the dissimilarity between genotypes with the potential to be used in future studies for the selection of water deficit-tolerant genotypes. The BRS 3213 genotype showed the greatest genetic dissimilarity and composed a group isolated from the other genotypes in terms of anatomical characteristics. Hybrids 12 and 15 have leaf anatomical traits with higher drought tolerance potential.
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spelling Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clonesDivergência genética com base em características vegetativas e anatômicas foliares de clones de Coffea canephoraToleranceLeaf anatomyStomatal densityDrought resistance.TolerânciaDéficit hídricoAnatomia foliarDensidade de estômatos.Knowledge of the expression of traits associated with drought tolerance is important to mitigate impacts on coffee production in a climate change scenario. This study aimed to understand the genetic divergence between Coffea canephora genotypes grown in the Western Amazon based on leaf vegetative and anatomical traits. For this, fifteen high-performance genotypes were evaluated in a randomized block design with five replications of one plant per plot to analyze three leaf vegetative traits (leaf area index, root volume, and total dry mass) and five leaf anatomical traits (polar and equatorial diameter, density and number of stomata, and stomatal area). The data were interpreted using analysis of variance and the Scott-Knott mean cluster test (p bigger, smaller 0.05). The Tocher optimization method and principal component analysis with reference points were used to quantify the genetic divergence. Tocher clustering separated the fifteen clones into five groups, and the scatter in the plane into three groups. Stomatal density was the trait that most contributed to the dissimilarity between genotypes with the potential to be used in future studies for the selection of water deficit-tolerant genotypes. The BRS 3213 genotype showed the greatest genetic dissimilarity and composed a group isolated from the other genotypes in terms of anatomical characteristics. Hybrids 12 and 15 have leaf anatomical traits with higher drought tolerance potential.O conhecimento da expressão de características associadas a tolerância a seca é importante para mitigar os impactos na produção cafeeira em um cenário de mudanças climáticas. Objetivou-se com o presente trabalho entender a divergência de natureza genética entre genótipos de Coffea canephora cultivados na Amazônia Ocidental, com base em características vegetativas e anatômicas foliares. Para isso, quinze genótipos foram avaliados em delineamento de blocos casualizados com cinco repetições de uma planta por parcela, para análise de três características vegetativas (área foliar, volume de raiz, massa seca total) e cinco características anatômicas foliares (diâmetro polar e equatorial; densidade e número de estômatos e área estomática). Os dados foram interpretados utilizando análise de variância e o teste de Scott-Knott (p maior, menor 0,05). Para quantificar a divergência genética foi interpretado o agrupamento estimado pelo método de otimização de Tocher e a dispersão no plano obtida utilizando a técnica de componentes principais. O agrupamento de Tocher separou os 15 clones em cinco grupos, e a dispersão no plano em três grupos. A densidade estomática foi a característica que mais contribuiu para a dissimilaridade entre os genótipos com potencial para ser utilizada em estudos futuros de seleção de genótipos tolerantes ao déficit hídrico. O genótipo BRS 3213 apresentou maior dissimilaridade genética, constituindo um grupo isolado dos demais genótipos quanto as características anatômicas. Os Híbridos 12 e 15 apresentam características anatômicas foliares com maior potencial de tolerância a seca.UEL2021-07-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de CampoPesquisa Empírica de Campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4198910.5433/1679-0359.2021v42n5p2717Semina: Ciências Agrárias; Vol. 42 No. 5 (2021); 2717-2734Semina: Ciências Agrárias; v. 42 n. 5 (2021); 2717-27341679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41989/29966Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessAraújo, Larissa Fatarelli Bento deEspindula, Marcelo CuritibaRocha, Rodrigo BarrosTorres, Josemar DávilaCampanharo, MarcelaPego, Wesley Franco OliveiraRosa, Samuel Elias de Souza2022-09-30T12:59:54Zoai:ojs.pkp.sfu.ca:article/41989Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-09-30T12:59:54Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
Divergência genética com base em características vegetativas e anatômicas foliares de clones de Coffea canephora
title Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
spellingShingle Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
Araújo, Larissa Fatarelli Bento de
Tolerance
Leaf anatomy
Stomatal density
Drought resistance.
Tolerância
Déficit hídrico
Anatomia foliar
Densidade de estômatos.
title_short Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
title_full Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
title_fullStr Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
title_full_unstemmed Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
title_sort Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones
author Araújo, Larissa Fatarelli Bento de
author_facet Araújo, Larissa Fatarelli Bento de
Espindula, Marcelo Curitiba
Rocha, Rodrigo Barros
Torres, Josemar Dávila
Campanharo, Marcela
Pego, Wesley Franco Oliveira
Rosa, Samuel Elias de Souza
author_role author
author2 Espindula, Marcelo Curitiba
Rocha, Rodrigo Barros
Torres, Josemar Dávila
Campanharo, Marcela
Pego, Wesley Franco Oliveira
Rosa, Samuel Elias de Souza
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Araújo, Larissa Fatarelli Bento de
Espindula, Marcelo Curitiba
Rocha, Rodrigo Barros
Torres, Josemar Dávila
Campanharo, Marcela
Pego, Wesley Franco Oliveira
Rosa, Samuel Elias de Souza
dc.subject.por.fl_str_mv Tolerance
Leaf anatomy
Stomatal density
Drought resistance.
Tolerância
Déficit hídrico
Anatomia foliar
Densidade de estômatos.
topic Tolerance
Leaf anatomy
Stomatal density
Drought resistance.
Tolerância
Déficit hídrico
Anatomia foliar
Densidade de estômatos.
description Knowledge of the expression of traits associated with drought tolerance is important to mitigate impacts on coffee production in a climate change scenario. This study aimed to understand the genetic divergence between Coffea canephora genotypes grown in the Western Amazon based on leaf vegetative and anatomical traits. For this, fifteen high-performance genotypes were evaluated in a randomized block design with five replications of one plant per plot to analyze three leaf vegetative traits (leaf area index, root volume, and total dry mass) and five leaf anatomical traits (polar and equatorial diameter, density and number of stomata, and stomatal area). The data were interpreted using analysis of variance and the Scott-Knott mean cluster test (p bigger, smaller 0.05). The Tocher optimization method and principal component analysis with reference points were used to quantify the genetic divergence. Tocher clustering separated the fifteen clones into five groups, and the scatter in the plane into three groups. Stomatal density was the trait that most contributed to the dissimilarity between genotypes with the potential to be used in future studies for the selection of water deficit-tolerant genotypes. The BRS 3213 genotype showed the greatest genetic dissimilarity and composed a group isolated from the other genotypes in terms of anatomical characteristics. Hybrids 12 and 15 have leaf anatomical traits with higher drought tolerance potential.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Empírica de Campo
Pesquisa Empírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41989
10.5433/1679-0359.2021v42n5p2717
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41989
identifier_str_mv 10.5433/1679-0359.2021v42n5p2717
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41989/29966
dc.rights.driver.fl_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 42 No. 5 (2021); 2717-2734
Semina: Ciências Agrárias; v. 42 n. 5 (2021); 2717-2734
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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