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Advisor(s)
Abstract(s)
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
Description
Keywords
biodiversity biometrics clustering multivariate analysis stomata variability
Pedagogical Context
Citation
Dubberstein, 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, 1126
Publisher
MDPI
