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Simple and accurate allometric model for leaf area estimation in Vitis vinifera L. genotypes

机译:简单准确的叶面积估算模型

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摘要

The aim of the present experiment was to evaluate the currently used allometric models for Vitis vinifera L., as well as to develop a simple and accurate model using linear measurements leaf length (L) and leaf width (W), for estimating the individual leaf area (LA) of nine grapevine genotypes. For model construction, a total of 1,630 leaves coming from eight genotypes in 2010 was sampled during different leaf developmental stages and encompassed the full spectrum of leaf sizes. The model with single measurement of L could be considered an interesting option because it requires measurement of only one variable, but at the expense of accuracy. To find a model to estimate individual LA accurately for grapevine plants of all genotypes, both measurements of L and W should be involved. The proposed linear model LA = -0.465 + 0.914 (L x W) was adopted for its accuracy: the highest coefficient of determination (> 0.98), the smallest mean square error, the smallest prediction sum of squares, and the reasonably close prediction sum of squares value to error sum of squares. To validate the LW model, an independent data set of 200 leaves coming from another genotype in 2011 was used. Correlation coefficients showed that there was a highly reliable relationships between predicted leaf area and the observed leaf area, giving an overestimation of 0.8 in the prediction.
机译:本试验的目的是评估目前使用的葡萄异速生长模型,并使用线性测量[叶长(L)和叶宽(W)]开发一个简单而准确的模型,以估计9种葡萄基因型的单个叶面积(LA)。在模型构建方面,2010年共对来自8种基因型的1,630片叶子进行了不同叶片发育阶段的采样,涵盖了叶子大小的全谱。单次测量 L 的模型可以被认为是一个有趣的选择,因为它只需要测量一个变量,但以牺牲准确性为代价。为了找到一个模型来准确估计所有基因型葡萄树植株的单个LA,应该涉及L和W的测量。采用所提出的线性模型[LA = -0.465 + 0.914 (L x W)],其精度为:决定系数最高(> 0.98)、最小的均方误差、最小的预测平方和以及合理接近的预测平方和值与误差平方和。为了验证LW模型,使用了2011年来自另一种基因型的200片叶子的独立数据集。相关系数表明,预测叶面积与实测叶面积之间存在高度可靠的关系,预测值高估了0.8%。

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