Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes

Detalhes bibliográficos
Autor(a) principal: Dubberstein, Danielly
Data de Publicação: 2021
Outros Autores: Oliveira, Marcos Góes, Aoyama, Elisa Mitsuko, Guilhen, José Henrique, Ferreira, Adésio, Marques, Isabel, Ramalho, José C., Partelli, Fábio Luiz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/163819
Resumo: This research was funded by the Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES, grant number 84320893), Conselho Nacional de Desenvolvimento Científico e Tec-nológico (CNPq, grant numbers 420789/2016-2 and 304687/2017-0), and Coordenação de Aper-feiçoamento de Pessoal de Nível Superior (CAPES, Finance Code 001). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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spelling Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypesBiodiversityBiometricsClusteringMultivariate analysisStomataVariabilityAgronomy and Crop ScienceThis research was funded by the Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES, grant number 84320893), Conselho Nacional de Desenvolvimento Científico e Tec-nológico (CNPq, grant numbers 420789/2016-2 and 304687/2017-0), and Coordenação de Aper-feiçoamento de Pessoal de Nível Superior (CAPES, Finance Code 001). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Leaf morpho-anatomical characteristics directly reflect photosynthetic performance and the ability to adapt to different environmental conditions. The study of biometric traits is essential for the selection of promising plant materials for breeding purposes. To identify new varieties of coffee plants with desirable traits for genetic improvement programs, this study investigated the variability of leaf morpho-anatomical traits in 43 genotypes of Coffea canephora (as the species under study is hypostomatous). Seven leaf characteristics were used: epidermal cell density (ECD), stomatal length (SL), stomatal width (SW), stomatal density (SD), stomatal size (SS), stomatal index (SI), and stomatal length/width. Morphological traits (plant height, internodal distance, and leaf area) and grain production were also assessed. The data analyzed multivariate analysis of variance grouped by the unweighted pair group the arithmetic mean hierarchical method, and data were also subjected to a Pearson linear correlation and principal component analyses (PCAs). The results showed wide morphological variability reflecting six morphological groups, which is relevant for the genetic divergence analysis and for breeding purposes, as the results have the potential to identify superior genotypes. Within the groups, genotypes were mainly separated by the number of epidermal cells and the number and size of the stomata, reflecting a high genetic heterogeneity within genotypes. Positive and negative correlations were found, with levels of significance ranging from weak to strong among the analyzed traits. The highest correlation levels were found for SL × SS, SW × SS, and SI × SD. In addition, the PCA indicated that plant height, distance between nodes, and leaf area were positively correlated and associated. The greater the number and width of stomata, the higher the rate of gas exchange. Both characteristics are favorable for the development and production of coffee plants, explaining the positive correlation observed in this study. These results emphasize the usefulness of trait evaluations for the identification and breeding of genotypes to compose new C. canephora cultivars suitable for changing environments.GeoBioTec - Geobiociências, Geoengenharias e GeotecnologiasRUNDubberstein, DaniellyOliveira, Marcos GóesAoyama, Elisa MitsukoGuilhen, José HenriqueFerreira, AdésioMarques, IsabelRamalho, José C.Partelli, Fábio Luiz2024-02-20T00:07:00Z2021-06-012021-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/163819eng2073-4395PURE: 83667181https://doi.org/10.3390/agronomy11061126info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:49:06Zoai:run.unl.pt:10362/163819Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:52.926465Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
title Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
spellingShingle Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
Dubberstein, Danielly
Biodiversity
Biometrics
Clustering
Multivariate analysis
Stomata
Variability
Agronomy and Crop Science
title_short Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
title_full Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
title_fullStr Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
title_full_unstemmed Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
title_sort Diversity of leaf stomatal traits among coffea canephora pierre ex A. Froehner genotypes
author Dubberstein, Danielly
author_facet Dubberstein, Danielly
Oliveira, Marcos Góes
Aoyama, Elisa Mitsuko
Guilhen, José Henrique
Ferreira, Adésio
Marques, Isabel
Ramalho, José C.
Partelli, Fábio Luiz
author_role author
author2 Oliveira, Marcos Góes
Aoyama, Elisa Mitsuko
Guilhen, José Henrique
Ferreira, Adésio
Marques, Isabel
Ramalho, José C.
Partelli, Fábio Luiz
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv GeoBioTec - Geobiociências, Geoengenharias e Geotecnologias
RUN
dc.contributor.author.fl_str_mv Dubberstein, Danielly
Oliveira, Marcos Góes
Aoyama, Elisa Mitsuko
Guilhen, José Henrique
Ferreira, Adésio
Marques, Isabel
Ramalho, José C.
Partelli, Fábio Luiz
dc.subject.por.fl_str_mv Biodiversity
Biometrics
Clustering
Multivariate analysis
Stomata
Variability
Agronomy and Crop Science
topic Biodiversity
Biometrics
Clustering
Multivariate analysis
Stomata
Variability
Agronomy and Crop Science
description This research was funded by the Fundação de Amparo à Pesquisa e Inovação do Espírito Santo (FAPES, grant number 84320893), Conselho Nacional de Desenvolvimento Científico e Tec-nológico (CNPq, grant numbers 420789/2016-2 and 304687/2017-0), and Coordenação de Aper-feiçoamento de Pessoal de Nível Superior (CAPES, Finance Code 001). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01
2021-06-01T00:00:00Z
2024-02-20T00:07:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/163819
url http://hdl.handle.net/10362/163819
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2073-4395
PURE: 83667181
https://doi.org/10.3390/agronomy11061126
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eu_rights_str_mv openAccess
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