Modelling individual leaf area of cress and radish using leaf dimensions and weight

Q4 Biochemistry, Genetics and Molecular Biology Journal of Applied Horticulture Pub Date : 2019-04-15 DOI:10.37855/jah.2019.v21i01.04
M. H. Aminifard, H. Bayat, Mehdi Khayyat
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Abstract

Leaf area information is required in various horticultural and physiological studies. Leaf area measurements require easy, quick and possibly non-destructive methods. The objective of this study was to establish equations to estimate leaf area (LA) using length (L), width (W), fresh weight (FW) and dry weight (DW), length×width (L×W), length + width (L+W), width/length (W/L), length2 (L2) and width2 (W2) of cress (Lepidium sativum L.) leaves as a leafy vegetable and radish (Raphanus sativus L.) as a root vegetable. A soilcultured experiment was carried out in 2010 under greenhouse conditions to study relationship between leaf dimension and weight with LA of these two vegetable plants. Observed LA was obtained by an automatic measuring device and leaf dimensions were measured by a ruler. Regression analyses of LA versus L, W, FW, DW, L×W, L+W, W/L, L2 and W2 led several models that could be used for estimating the area of individual cress and radish leaves. A linear model employing FW as an independent variables [LA=0.295 (Fresh W.)+ 1.430] resulted in the most accurate estimate (R2 = 0.912, RMSE = 1.52) of cress LA. For radish, a linear model using W as an independent variable [LA=22.50 (W) + 7.46] showed the most accuracy (R2 = 0.874, RMSE = 11.26) estimating LA. Validation of the regression models showed that the correlation between measured and simulated values using these equations were quite acceptable (R2 = 0.922, 0.876).
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利用叶片尺寸和重量模拟水芹和萝卜的个体叶面积
在各种园艺和生理学研究中都需要叶面积信息。叶面积测量需要简单、快速且可能无损的方法。本研究的目的是建立以水芹(Lepidium sativum L.)叶为叶菜和萝卜(Raphanus sativus L.)为根菜的长度(L)、宽度(W)、鲜重(FW)和干重(DW)、长度×宽度(L×W)、长度+宽度(L+W)、宽度/长度(W/L)、长度2(L2)和宽度2(W2)估算叶面积(LA)的方程。2010年在温室条件下进行了一项土培试验,研究了这两种蔬菜的叶片尺寸和重量与LA的关系。通过自动测量装置获得观察到的LA,并通过尺子测量叶片尺寸。LA与L、W、FW、DW、L×W、L+W、W/L、L2和W2的回归分析得出了几个可用于估计单个水芹和萝卜叶面积的模型。以FW为自变量[LA=0.295(Fresh W.)+1.430]的线性模型对水芹LA的估计最准确(R2=0.912,RMSE=1.52)。对于萝卜,以W为自变量[LA=22.50(W)+7.46]的线性模型估计LA的准确度最高(R2=0.874,RMSE=12.26)。回归模型的验证表明,使用这些方程的测量值和模拟值之间的相关性是可以接受的(R2=0.922,0.876)。
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来源期刊
Journal of Applied Horticulture
Journal of Applied Horticulture Agricultural and Biological Sciences-Horticulture
CiteScore
0.90
自引率
0.00%
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0
期刊介绍: The Journal of Applied Horticulture (JAH) is an official publication of the Society for the Advancement of Horticulture, founded in 1999. JAH is a triannual publication, publishes papers of original work (or results), & rapid communications and reviews on all aspects of Horticultural Science which can contribute to fundamental and applied research on horticultural plants and their related products. The essential contents of manuscripts must not have been published in other refereed publications. Submission of a manuscript to the Journal implies no concurrent submission elsewhere.
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