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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619606/ https://www.ncbi.nlm.nih.gov/pubmed/34834818 http://dx.doi.org/10.3390/plants10112453 |
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author | Sala, Florin Dobrei, Alin Herbei, Mihai Valentin |
author_facet | Sala, Florin Dobrei, Alin Herbei, Mihai Valentin |
author_sort | Sala, Florin |
collection | PubMed |
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(2) (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(2) = 0.477, p = 0.0119, up to R(2) = 0.988, p < 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(2), p and RMSE. |
format | Online Article Text |
id | pubmed-8619606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86196062021-11-27 Leaf Area Calculation Models for Vines Based on Foliar Descriptors Sala, Florin Dobrei, Alin Herbei, Mihai Valentin Plants (Basel) Article 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(2) (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(2) = 0.477, p = 0.0119, up to R(2) = 0.988, p < 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(2), p and RMSE. MDPI 2021-11-13 /pmc/articles/PMC8619606/ /pubmed/34834818 http://dx.doi.org/10.3390/plants10112453 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sala, Florin Dobrei, Alin Herbei, Mihai Valentin Leaf Area Calculation Models for Vines Based on Foliar Descriptors |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619606/ https://www.ncbi.nlm.nih.gov/pubmed/34834818 http://dx.doi.org/10.3390/plants10112453 |
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