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Agronomie
Article
Data sources: UnpayWall
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Hal
Article . 1999
Data sources: Hal
Agronomie
Article . 1999 . Peer-reviewed
Data sources: Crossref
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A graphic reconstruction method of an average vine leaf

Authors: Martinez, María-Carmen; Grenan, Serge;

A graphic reconstruction method of an average vine leaf

Abstract

[FR] Méthode de reconstruction graphique d'une feuille de vigne. La description des cépages a fait l'objet d'études depuis les temps très anciens. La définition des paramètres permettant de caractériser au mieux les variétés s'est affinée au fil des années. Cependant malgré la multitude des travaux réalisés aucune méthode ne permet de visualiser rapidement et de façon claire la morphologie foliaire d'un cépage. Aussi nous proposons une méthode de reconstitution d'une feuille moyenne à partir de mesures effectuées sur un échantillon représentatif de la variété. Sur les feuilles divisées en secteurs, on réalise des mesures sur les paramètres fondamentaux de longueurs et d'angles mais aussi des notations sur les caractères qualitatifs: nombre et forme des dents, morphologie des sinus, et disposition des nervures. À l'aide de ces informations on établit une méthode qui permet de reconstituer pas à pas la feuille moyenne. Cette méthode présente, évidemment, quelques imperfections mais elle constitue un outil facile à réaliser et à utiliser par l'expérimentateur qui souhaite confronter ses résultats statistiques avec une réprésentation synthétique la plus fidèle possible. Nous avons prouvé la validité de notre proposition avec la réprésentation graphique de la feuille moyenne de huit cépages, quelques uns d'entre eux très connus au niveau mondial comme Cabernet-Sauvignon, Alicante Bouschet, Jerez, Muscat à petits grains et Chasselas Cioutat, et d'autres originaires du nord-ouest de l'Espagne et du nord du Portugal comme Albariño, Godello et Loureira. De plus les données recueillies pourraient servir de base pour une informatisation de la méthode. (© Inra/Elsevier, Paris.)

[EN] The description of vine varieties has been under consideration for many years. A parameter description enabling the best variety characterisation has been improved over the years. However, even though some results have been achieved, no method enables a rapid and clear visualisation of the leaf morphology of any vine variety. Here, we present an average leaf reconstitution method from measures carried out on a sample representative of the variety. On leaves divided into sectors, we measured the fundamental parameter of the angles and length as well as notations on the qualitative character. These measures are: tooth number and shape, sinus morphology and vein arrangement. Using this information, we established a method which allows step by step average leaf reconstitution. Of course, this method could be improved; nevertheless, it is a tool easy to obtain and to use by experimenters wishing to compare their statistical results with an accurate synthetic representation. The validity of our proposal is proven with the graphic representation of the average leaf of eight very well-known worldwide varieties, such as Cabernet-Sauvignon, Alicante Bouschet, Jerez, Muscat à petits grains and Chasselas Cioutat, and other very important varieties in the north-west of Spain and north of Portugal, such as the Albariño, Godello and Loureira varieties. In addition, data collected using this means could be the basis of computerisation of the method. © Inra/Elsevier.

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Keywords

[SDV.SA] Life Sciences [q-bio]/Agricultural sciences, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, Reconstruction graphique, Ampélométrie, Feuille moyenne, Average leaf, Ampelometry, Vitis, Graphic reconstruction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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