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      Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

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          Abstract

          ABSTRACT This research aimed to determine an equation to estimate the leaf area of Erythroxylum simonis using the length and width of leaf blades. Two hundred leaf blades of this species were collected in Mata do Pau-Ferro, a State Park located in Areia, PB, Brazil. Regression analyses were used to determine the estimation equations. The linear, linear without intercept, quadratic, cubic, power and exponential statistical models were used. The criteria used for model selection were based on an examination of the coefficient of determination, the Akaike information criterion and standard error of the estimate. All the equations presented can be used to estimate the leaf area of E. simonis. From a practical point of view, the linear regression equation without intercept involving the product between length and width is recommended, using the equation Y=0.6426*LW, which corresponds to 64.26% of the product between length and width, with a coefficient of determination of 0.9936.

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          A leaf area model to simulate cultivar-specific expansion and senescence of maize leaves

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            A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.)

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              Methods for leaf area measurement of large and small leaf samples

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                floram
                Floresta e Ambiente
                Floresta Ambient.
                Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro (Seropédica, RJ, Brazil )
                1415-0980
                2179-8087
                June 2018
                : 25
                : 2
                : e20170108
                Affiliations
                [01] Areia PB orgnameUniversidade Federal da Paraiba Brasil
                Article
                S2179-80872018000200125
                10.1590/2179-8087.010817
                747c4938-be5c-47ee-a43d-580435b960dc

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 15 June 2017
                : 11 August 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 39, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                biometry,non-destructive method,Erythroxylaceae
                biometry, non-destructive method, Erythroxylaceae

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