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Leaf area constant model in optimizing foliar area measurement in plants: A case study in apple tree

机译:优化植物叶面积的叶面积常数模型:以苹果树为例

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Non-destructive methods of determining plant leaf area are useful instruments in physiological, ecological and agronomic research. Determining individual leaf area (ILA) in plants based on leaf size parameters - length (L) and width (W) - suppose the use of an area constant (K-A) as a factor of correction in increasing calculus precision. These studies suggest a model for the high accuracy calculus of the area constant (K-A) and of leaf area in plants based on leaf size on five apple tree cultivars. Measuring leaf area was done in parallel with for each leaf through measured leaf area (MLA) and scanned leaf area (SLA) in 1,500 leaves. Area constant (K-A) was calculated and validated through the comparison of measured leaf area (MLA) and scanned leaf area (SLA) under minimum error (ME) and minimum value RMSE conditions. Based on research, was obtained a Leaf Area Constant Model (LAC Model) to calculate K-A whose optimum value facilitated the accurate prediction of leaf area based on Land Win the five apple tree cultivars we studied (R-2 = 0.987 to R-2 = 0.995). The suggested LAC Model was used with high precision to calculate K-A in apple tree making possible its extension to other plant species also. (C) 2015 Elsevier B.V. All rights reserved.
机译:确定植物叶面积的非破坏性方法是在生理,生态和农学研究中有用的工具。基于叶大小参数-长度(L)和宽度(W)确定植物中的单个叶面积(ILA)-假设使用面积常数(K-A)作为提高微积分精度的校正因子。这些研究提出了一个基于五个苹果树品种的叶片尺寸的高精度计算面积常数(K-A)和植物叶片面积的模型。通过在1,500片叶子中通过测量的叶面积(MLA)和扫描的叶面积(SLA)平行于每片叶子进行叶面积测量。通过比较最小误差(ME)和最小值RMSE条件下的测叶面积(MLA)和扫描叶面积(SLA)来计算和验证面积常数(K-A)。在研究的基础上,获得了一个叶面积常数模型(LAC模型)来计算KA,其最优值有助于基于Land Win进行我们研究的五个苹果树品种(R-2 = 0.987至R-2 = 0.995)。所建议的LAC模型可用于高精度计算苹果树中的K-A,从而也可能将其扩展到其他植物物种。 (C)2015 Elsevier B.V.保留所有权利。

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