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基于叶片描述符的葡萄藤叶面积计算模型

Leaf Area Calculation Models for Vines Based on Foliar Descriptors.

作者信息

Sala Florin, Dobrei Alin, Herbei Mihai Valentin

机构信息

Department-Soil Sciences, Compartment of Soil Science and Plant Nutrition, Banat University of Agricultural Sciences and Veterinary Medicine "King Michael I of Romania", 300645 Timisoara, Romania.

Department-Horticulture, Compartment of Viticulture, Banat University of Agricultural Sciences and Veterinary Medicine "King Michael I of Romania", 300645 Timisoara, Romania.

出版信息

Plants (Basel). 2021 Nov 13;10(11):2453. doi: 10.3390/plants10112453.

Abstract

In the case of foliar area studies on vines, with a large number of determinations, a simple, fast, sufficiently accurate and low-cost method is very useful. The typology of leaves on the vine is complex, characterized by several descriptive parameters: median rib; secondary venations of the first and second order; angles between the median rib and the secondary venations; sinuses; length and width of the leaf. The present study aimed to evaluate models for calculating the leaf area based on descriptive parameters and KA (KA as the surface constant used to calculate the leaf area) for six vine cultivars, 'Cabernet Sauvignon' (CS), 'Muscat Iantarnîi' (MI), 'Muscat Ottonel' (MO), 'Chasselas' (Ch), 'Victoria' (Vi) and 'Muscat Hamburg' (MH). The determined KA surface constants had subunit values (0.91 to 0.97), except for the cultivars 'Muscat Iantarnîi' and 'Muscat Ottonel' where the surface constant KA (in relation to the second-order secondary venations) had supraunitary values (1.07 and 1.08, respectively). The determination of the leaf area was possible under different conditions of statistical accuracy (R = 0.477, = 0.0119, up to R = 0.988, < 0.001) in relation to the variety and parametric descriptors considered. The models obtained from the regression analysis facilitated a more reliable prediction of the leaf area based on the elements on the left side of the leaf, in relation to the median rib, compared to those on the right. The accuracy of the results was checked on the basis of minimum error (ME) and confirmed by parameters R, and RMSE.

摘要

在对葡萄藤进行叶面积研究时,若要进行大量测定,一种简单、快速、足够准确且成本低廉的方法非常有用。葡萄藤上叶子的类型复杂,具有多个描述参数:中脉;一级和二级侧脉;中脉与侧脉之间的夹角;叶缺刻;叶片的长度和宽度。本研究旨在评估基于六个葡萄品种“赤霞珠”(CS)、“伊昂塔尔尼麝香葡萄”(MI)、“奥托内尔麝香葡萄”(MO)、“沙斯拉”(Ch)、“维多利亚”(Vi)和“汉堡麝香葡萄”(MH)的描述参数以及KA(用于计算叶面积的表面常数)来计算叶面积的模型。所测定的KA表面常数具有亚单位值(0.91至0.97),但“伊昂塔尔尼麝香葡萄”和“奥托内尔麝香葡萄”品种除外,其表面常数KA(相对于二级侧脉)具有超单位值(分别为1.07和1.08)。根据所考虑的品种和参数描述符,在不同的统计精度条件下(R = 0.477, = 0.0119,最高至R = 0.988, < 0.001)都能够测定叶面积。与基于叶片右侧元素相比,从回归分析获得的模型有助于基于叶片左侧相对于中脉的元素更可靠地预测叶面积。结果的准确性根据最小误差(ME)进行检验,并通过参数R、 和RMSE得到证实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d97/8619606/84579cc04d24/plants-10-02453-g001.jpg

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