2019
DOI: 10.4238/gmr18486
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Research Article Equations for estimation of the foliar area of Coffea canephora genotypes

Abstract: Knowledge of the leaf characteristics of the coffee tree, such as leaf dimensions, is of great importance for management of this crop, since it directly impacts on plant development. We evaluated the genetic diversity of 43 Coffea canephora genotypes and developed and compared mathematical models for estimating the leaf area of distinct genotypes using linear characteristics. Leaves from 2½ year old trees were collected from the upper middle third of the plant and the length of the central vein and maximum wid… Show more

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Cited by 4 publications
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“…Among these morphological traits, plant height, plagiotropic branch length, number of nodes, and vegetative vigor are considered to be strongly related to the crop yield (Carvalho et al, 2010;Teixeira et al, 2012;Assis et al, 2014;Pereira et al, 2016). Additionally, leaf characteristics should be considered in the breeding processes (Dubberstein et al, 2019;Martins et al, 2019a), as they are important in for plant growth and development assessments, including physiological parameters, such as transpiration and net assimilation rates (Fascella et al, 2013;Schmidt et al, 2014). Such assessments may provide early information related to posterior crop performance (Brinate et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Among these morphological traits, plant height, plagiotropic branch length, number of nodes, and vegetative vigor are considered to be strongly related to the crop yield (Carvalho et al, 2010;Teixeira et al, 2012;Assis et al, 2014;Pereira et al, 2016). Additionally, leaf characteristics should be considered in the breeding processes (Dubberstein et al, 2019;Martins et al, 2019a), as they are important in for plant growth and development assessments, including physiological parameters, such as transpiration and net assimilation rates (Fascella et al, 2013;Schmidt et al, 2014). Such assessments may provide early information related to posterior crop performance (Brinate et al, 2015).…”
Section: Introductionmentioning
confidence: 99%