Communications in Plant Sciences, vol 6, issues 3-4, p.35-37, 2016
Full title: Predicting red cypress vine leaf area by a linear equation
Authors: Elise Antero Alves and Leonardo Bianco de Carvalho
Abstract: We aimed to determine a linear equation to predict the leaf area of Ipomoea quamoclit L. (red cypress vine), an important weed infesting perennial crops in Brazil and worldwide, as a function of leaf blade length and width. Leaves with no injuries were collect in several ecosystems. We electronically measured leaf blade maximum length through principal nervure (LBL), leaf blade maximum width perpendicular to principal nervure (LBW), and leaf blade area (LA), and then we calculated the product of LBL and LBW. A linear regression analysis performed to test the relation of LA and LBLxLBW. In addition, the Shapiro-Wilk test performed to test normality of regression residuals. The leaf area of red cypress vine could be calculated as a function of the product of leaf blade length and leaf blade width, by using the equation LA=11.987+3.6439*LBLxLBW.
Keywords: Ipomoea quamoclit, Leaf area, Non-linear estimation, Plant growth, Biometry.