2021
DOI: 10.5433/1679-0359.2021v42n5p2717
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Genetic divergence based on leaf vegetative and anatomical traits of Coffea canephora clones

Abstract: 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, ro… Show more

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Cited by 2 publications
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“…Overall, Coffea arabica proved to be a species with good adaptability regarding the environment in which it is grown, modifying anatomical structures of the leaves and physiological characteristics, resulting in mechanisms of adaptation to the Cerrado environment. There are evidences that environmental factors, such as radiation levels, water availability and temperature might cause anatomical, morphological and physiological modifications, therefore characterization of the genotypes is an important tool on the identification of the most adapted ones (Araújo et al, 2021;Baliza et al, 2012;Oliveira et al, 2018;Queiroz-Voltan et al, 2014;Zulfiqar et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Overall, Coffea arabica proved to be a species with good adaptability regarding the environment in which it is grown, modifying anatomical structures of the leaves and physiological characteristics, resulting in mechanisms of adaptation to the Cerrado environment. There are evidences that environmental factors, such as radiation levels, water availability and temperature might cause anatomical, morphological and physiological modifications, therefore characterization of the genotypes is an important tool on the identification of the most adapted ones (Araújo et al, 2021;Baliza et al, 2012;Oliveira et al, 2018;Queiroz-Voltan et al, 2014;Zulfiqar et al, 2020).…”
Section: Discussionmentioning
confidence: 99%