Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes

ABSTRACT: Genetic variability is the basis for coffee genetic breeding. This study evaluated the potential of leaf anatomy and morpho-agronomic traits in studies of genetic variability in C. canephoracultivars. Ten genotypes were distributed in randomized block designs with three replicates. Significant differences among genotypes were detected by F-test (P < 0.05) for 13 of 15 evaluated traits. These results evidenced the heterogeneity of the studied cultivars, which is essential in composition of genetic basis in breeding programs. The Scott-Knott test detected variability among genotypes, grouped into up to four mean groups. Leaf anatomy traits presented the largest variations. Five out of seven leaf anatomy traits presented heritability higher than 80%, with emphasis on stomatal density (95.69%) and stomatal pore length (92.72%). Positive correlations were observed among morpho-agronomic and anatomic traits. Cluster analysis used the Mahalanobis general distance (D2) as a measure of genetic dissimilarity and divided the genotypes into two distinct groups. The inclusion of leaf anatomic traits to characterize C. canephoragenotypes may assist plant breeders with better genetic discrimination and with greater security in plant selection when composing cultivars.

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Main Authors: Silva,Larícia Olária Emerick, Schmidt,Raquel, Almeida,Rafael Nunes de, Feitoza,Rodrigo Barbosa Braga, Cunha,Maura da, Partelli,Fábio Luiz
Format: Digital revista
Language:English
Published: Universidade Federal de Santa Maria 2023
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782023000700401
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spelling oai:scielo:S0103-847820230007004012022-11-25Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypesSilva,Larícia Olária EmerickSchmidt,RaquelAlmeida,Rafael Nunes deFeitoza,Rodrigo Barbosa BragaCunha,Maura daPartelli,Fábio Luiz Conilon coffee Electron Microscopy Leaf Microscopy Plant breeding ABSTRACT: Genetic variability is the basis for coffee genetic breeding. This study evaluated the potential of leaf anatomy and morpho-agronomic traits in studies of genetic variability in C. canephoracultivars. Ten genotypes were distributed in randomized block designs with three replicates. Significant differences among genotypes were detected by F-test (P < 0.05) for 13 of 15 evaluated traits. These results evidenced the heterogeneity of the studied cultivars, which is essential in composition of genetic basis in breeding programs. The Scott-Knott test detected variability among genotypes, grouped into up to four mean groups. Leaf anatomy traits presented the largest variations. Five out of seven leaf anatomy traits presented heritability higher than 80%, with emphasis on stomatal density (95.69%) and stomatal pore length (92.72%). Positive correlations were observed among morpho-agronomic and anatomic traits. Cluster analysis used the Mahalanobis general distance (D2) as a measure of genetic dissimilarity and divided the genotypes into two distinct groups. The inclusion of leaf anatomic traits to characterize C. canephoragenotypes may assist plant breeders with better genetic discrimination and with greater security in plant selection when composing cultivars.info:eu-repo/semantics/openAccessUniversidade Federal de Santa MariaCiência Rural v.53 n.7 20232023-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782023000700401en10.1590/0103-8478cr20220005
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Silva,Larícia Olária Emerick
Schmidt,Raquel
Almeida,Rafael Nunes de
Feitoza,Rodrigo Barbosa Braga
Cunha,Maura da
Partelli,Fábio Luiz
spellingShingle Silva,Larícia Olária Emerick
Schmidt,Raquel
Almeida,Rafael Nunes de
Feitoza,Rodrigo Barbosa Braga
Cunha,Maura da
Partelli,Fábio Luiz
Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes
author_facet Silva,Larícia Olária Emerick
Schmidt,Raquel
Almeida,Rafael Nunes de
Feitoza,Rodrigo Barbosa Braga
Cunha,Maura da
Partelli,Fábio Luiz
author_sort Silva,Larícia Olária Emerick
title Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes
title_short Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes
title_full Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes
title_fullStr Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes
title_full_unstemmed Morpho-agronomic and leaf anatomical traits in Coffeacanephora genotypes
title_sort morpho-agronomic and leaf anatomical traits in coffeacanephora genotypes
description ABSTRACT: Genetic variability is the basis for coffee genetic breeding. This study evaluated the potential of leaf anatomy and morpho-agronomic traits in studies of genetic variability in C. canephoracultivars. Ten genotypes were distributed in randomized block designs with three replicates. Significant differences among genotypes were detected by F-test (P < 0.05) for 13 of 15 evaluated traits. These results evidenced the heterogeneity of the studied cultivars, which is essential in composition of genetic basis in breeding programs. The Scott-Knott test detected variability among genotypes, grouped into up to four mean groups. Leaf anatomy traits presented the largest variations. Five out of seven leaf anatomy traits presented heritability higher than 80%, with emphasis on stomatal density (95.69%) and stomatal pore length (92.72%). Positive correlations were observed among morpho-agronomic and anatomic traits. Cluster analysis used the Mahalanobis general distance (D2) as a measure of genetic dissimilarity and divided the genotypes into two distinct groups. The inclusion of leaf anatomic traits to characterize C. canephoragenotypes may assist plant breeders with better genetic discrimination and with greater security in plant selection when composing cultivars.
publisher Universidade Federal de Santa Maria
publishDate 2023
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782023000700401
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