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Diversity of leaf stomatal traits among Coffea canephora Pierre ex A. Froehner genotypes

2021Artigo científico Acesso aberto
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dc.contributor.authorDubberstein, Danielly
dc.contributor.authorOliveira, Marcos Goes
dc.contributor.authorAoyama, Elisa Mitsuko
dc.contributor.authorGuilhen, José Henrique
dc.contributor.authorFerreira, Adésio
dc.contributor.authorMarques, Isabel
dc.contributor.authorRamalho, José C.
dc.contributor.authorPartelli, Fábio Luiz
dc.date.accessioned2021-07-05T10:47:24Z
dc.date.available2021-07-05T10:47:24Z
dc.date.issued2021
dc.description.abstractLeaf 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 environmentspt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDubberstein, D.; Oliveira, M.G.; Aoyama, E.M.; Guilhen, J.H.; Ferreira, A.; Marques, I.; Ramalho, J.C.; Partelli, F.L. Diversity of Leaf Stomatal Traits among Coffea canephora Pierre ex A. Froehner Genotypes. Agronomy 2021, 11, 1126pt_PT
dc.identifier.doihttps://doi.org/10.3390/ agronomy11061126pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/21591
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationForest Research Centre
dc.relationGeoBioSciences GeoTechnologies and GeoEngineering
dc.subjectbiodiversitypt_PT
dc.subjectbiometricspt_PT
dc.subjectclusteringpt_PT
dc.subjectmultivariate analysispt_PT
dc.subjectstomatapt_PT
dc.subjectvariabilitypt_PT
dc.titleDiversity of leaf stomatal traits among Coffea canephora Pierre ex A. Froehner genotypespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleForest Research Centre
oaire.awardTitleGeoBioSciences GeoTechnologies and GeoEngineering
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04035%2F2020/PT
oaire.citation.titleAgronomypt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameRamalho
person.givenNameJosé
person.identifier1111962
person.identifier.ciencia-id2C14-07F8-4EFE
person.identifier.orcid0000-0002-7639-7214
person.identifier.ridG-2427-2014
person.identifier.scopus-author-id57196449038
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2cedc58c-62ef-4973-a443-ebc72ae2ac4d
relation.isAuthorOfPublication.latestForDiscovery2cedc58c-62ef-4973-a443-ebc72ae2ac4d
relation.isProjectOfPublication56bd0ae9-f8da-4344-b9a2-f633d4f68b89
relation.isProjectOfPublicationcd06019f-dc9a-4801-b945-b9619154b262
relation.isProjectOfPublication.latestForDiscovery56bd0ae9-f8da-4344-b9a2-f633d4f68b89

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