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Estimative of Black Pepper leaf area with basis on the leaf blade linear dimension

机译:基于叶片线性尺寸的黑胡椒叶面积估计

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This research was aimed at establishing regression equations to estimate black pepper (Piper nigrum) leaf area based on linear leaf measures. Different black pepper varieties where growth on the field, four different size leaves were collected per plant with a total of 52 leaves to establish the regression equation and 28 to validate the equation for each variety (Bragantina, La?ará, Guajarina e Cingapura). Leaf midrib length (LML), maximum leaf broad width (MLBW) and leaf area (LA) were measured. Pearson's linear correlation coefficients were determined between observed and predicted measures with the observed LA, besides estimating the linear regression equation for each variety. The equations best-fitted to estimate LA based on circumscript rectangle were: 1) LA = 2.2689 + 0.6900 x LML x MLBW; 2) LA = 1.6402 + 0.6816 x LML x MLBW; 3) LA = 1.4942 + 0.6215 x LML x MLBW and 4) LA = 0.7467 + 0.6735 x LML x MLBW, for Bragantina, La?ará, Guajarina and Cingapura varieties respectively. For all equations predicted values had high correlation coefficient with observed values thus showing that these equations must be variety specific and that they are appropriate for black pepper leaf area estimative.
机译:这项研究旨在建立回归方程,以基于线性叶片测量来估计黑胡椒(Piper nigrum)的叶片面积。在田间生长的不同黑胡椒品种中,每株植物收集了四片不同大小的叶片,总共有52片叶片以建立回归方程,并为每种品种(Bragantina,La?ará,Guajarina e Cingapura)验证28种方程。测量了叶片中脉长度(LML),最大叶片宽(MLBW)和叶片面积(LA)。除了估计每个品种的线性回归方程外,还通过观察到的LA确定皮尔逊线性相关系数。最适合根据外接矩形估算LA的方程为:1)LA = 2.2689 + 0.6900 x LML x MLBW; 2)LA = 1.6402 + 0.6816 x LML x MLBW; 3)对于Bragantina,La?ará,Guajarina和Cingapura品种,LA = 1.4942 + 0.6215 x LML x MLBW和4)LA = 0.7467 + 0.6735 x LML x MLBW。对于所有方程,预测值与观测值具有较高的相关系数,因此表明这些方程必须特定于品种,并且适用于黑胡椒叶面积估计。

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