2013
DOI: 10.1007/s11099-013-0062-x
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Leaf area estimation in muskmelon by allometry

Abstract: This study developed a method for estimating the leaf area (LA) of muskmelon by using allometry. The best linear measure was evaluated first, testing both a leaf length and width (W). Leaf samples were collected from plants grown in containers of different sizes, leaves of four cultivars, at different develpoment stages, and of different leaf sizes. Two constants of a power equation were determined for relating allometrically a linear leaf measure and LA, in a greenhouse crop. W proved to be a better fit than … Show more

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Cited by 11 publications
(9 citation statements)
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“…elongating L concurrently progressed with widening W. This concurrent two-dimensional growth retains leaves at a relatively fixed shape (Misle et al, 2013). In case of our studied chili pepper, the leaf shape is lanceolate regardless of their sizes.…”
Section: Selection For the Most Reliable La Estimation Modelmentioning
confidence: 70%
“…elongating L concurrently progressed with widening W. This concurrent two-dimensional growth retains leaves at a relatively fixed shape (Misle et al, 2013). In case of our studied chili pepper, the leaf shape is lanceolate regardless of their sizes.…”
Section: Selection For the Most Reliable La Estimation Modelmentioning
confidence: 70%
“…Many abiotic factors, such as temperature, moisture, light, and soil properties have the potential to affect allometric relationships among plant traits ( Misle et al, 2013 ; Jorquera-Fontena et al, 2017 ). In this study, leaf area correlated positively (leaf length, width, and perimeter) or negatively (leaf length:width ratio) with other leaf morphological traits, and the slopes of all these relationships were significantly different from |1.00|.…”
Section: Discussionmentioning
confidence: 99%
“…There are several published studies of nondestructive estimations of LA involving measurements of leaf dimensions as independent variables, but using different regression models, including power (Kandiannan et al, 2002;Antunes et al, 2008;Pompelli et al, 2012;Wang and Zhang, 2012;Misle et al, 2013) and second-order polynomial models (Mazzini et al, 2010). In our study, we adopted the use of linear regression models because they are simpler and provide good estimates for a great number of plant species with different leaf areas and leaf shapes when compared with non-linear regression models (Cristofori et al, 2007;Mazzini et al, 2010;Rouphael et al, 2010;Wang and Zhang, 2012;Souza and Habermann, 2014).…”
Section: Discussionmentioning
confidence: 99%