Leaf Area Calculation Models for Vines Based on Foliar Descriptors
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 a...
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MDPI AG
2021-11-01
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Online Access: | https://www.mdpi.com/2223-7747/10/11/2453 |
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author | Florin Sala Alin Dobrei Mihai Valentin Herbei |
author_facet | Florin Sala Alin Dobrei Mihai Valentin Herbei |
author_sort | Florin Sala |
collection | DOAJ |
description | 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<sub>2</sub> (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<sup>2</sup> = 0.477, <i>p</i> = 0.0119, up to R<sup>2</sup> = 0.988, <i>p</i> < 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<sup>2</sup>, <i>p</i> and RMSE. |
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language | English |
last_indexed | 2024-03-10T05:07:47Z |
publishDate | 2021-11-01 |
publisher | MDPI AG |
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series | Plants |
spelling | doaj.art-69025e90cc0f4287ae3503e4ce32f4872023-11-23T01:06:02ZengMDPI AGPlants2223-77472021-11-011011245310.3390/plants10112453Leaf Area Calculation Models for Vines Based on Foliar DescriptorsFlorin Sala0Alin Dobrei1Mihai Valentin Herbei2Department–Soil Sciences, Compartment of Soil Science and Plant Nutrition, Banat University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania”, 300645 Timisoara, RomaniaDepartment–Horticulture, Compartment of Viticulture, Banat University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania”, 300645 Timisoara, RomaniaDepartment–Sustainable Development and Environmental Engineering, Compartment Remote Sensing and GIS, Banat University of Agricultural Sciences and Veterinary Medicine “King Michael I of Romania”, 300645 Timisoara, RomaniaIn 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<sub>2</sub> (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<sup>2</sup> = 0.477, <i>p</i> = 0.0119, up to R<sup>2</sup> = 0.988, <i>p</i> < 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<sup>2</sup>, <i>p</i> and RMSE.https://www.mdpi.com/2223-7747/10/11/2453foliar descriptorsleaf areamodelsvine leaves |
spellingShingle | Florin Sala Alin Dobrei Mihai Valentin Herbei Leaf Area Calculation Models for Vines Based on Foliar Descriptors Plants foliar descriptors leaf area models vine leaves |
title | Leaf Area Calculation Models for Vines Based on Foliar Descriptors |
title_full | Leaf Area Calculation Models for Vines Based on Foliar Descriptors |
title_fullStr | Leaf Area Calculation Models for Vines Based on Foliar Descriptors |
title_full_unstemmed | Leaf Area Calculation Models for Vines Based on Foliar Descriptors |
title_short | Leaf Area Calculation Models for Vines Based on Foliar Descriptors |
title_sort | leaf area calculation models for vines based on foliar descriptors |
topic | foliar descriptors leaf area models vine leaves |
url | https://www.mdpi.com/2223-7747/10/11/2453 |
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