Syntactic structure and modal interpretation: the case of basque "behar"

391 p.This dissertation is an investigation of the syntactic structure and modal interpretation of clauses involving the denominal necessity predicate behar `need¿ and an infinitival complement. On the one hand, it analyses the syntactic status of non-finite complements of denominal behar by examining their interaction with syntactic phenomena sensitive to different structural and locality conditions, and concludes that the infinitival complements of behar can correspond to different underlying structures. The largest type of infinitive is a non-restructuring infinitive that projects a full clausal architecture (i.e. a CP), and the smallest one is a reduced restructuring infinitive that projects up to vP. There is evidence for intermediate types projecting up to the inflectional domain (IP/TP). On the other hand, the dissertation examines the thematic and scope properties of the subjects in each of the different structural types and the modal interpretation that they can give rise to. On the basis of this analysis it is argued that modal interpretation is not constrained by any single factor (the presence of restructuring, the referential status of the subject and its relative scope vis-à-vis the modal predicate, among other frequently mentioned ones), but depends on the cumulative effect of several factors working together. The dissertation also shows the necessity of adopting a more fine-grained view of root modality, one that allows a simpler mapping of syntactic structures into modal meanings

Guía de técnicas de restauración de suelos degradados en viticultura

Guidelines for soil functionality restoration in degraded areas of vineyard (spanish language

Protocols for soil functionality assessment in vineyards

The purpose of this guideline is to describe the methods used during ReSolVe project for soil functionality assessment, so they can be implemented in similar studies. A brief introduction first underlines what are the main functions of soil and why maintaining an optimal soil functionality is particularly of major interest in viticulture. Then the different protocols selected for ReSolVe project and this guideline are presented according to the following classification: - Part I: assessment of soil physical and chemical features; - Part II: assessment of soil biological features (ecosystem service provision and providers); - Part III: assessment of rhizosphere biological features; - Part IV: assessment of grapevine quantitative and qualitative indicators reflecting soil functionality. In each part, global objectives of the monitoring are explained (what is it used for, in which cases…) and the parameters to evaluate are listed with their corresponding methodological sheet. In these sheets, instructions and information are given about: - Materials needed to perform the sampling and the measurement - Sampling procedure - Analysis procedure - Possible interpretations and conclusions that can be drawn (value and meaning of the results, indication of reference values when existing, potential limit of the protocol) - Bibliographic references related to the method described - Additional helpful information where appropriate (ex: template of sampling sheet

Protocol for soil functionality assessment in vineyards

Protocols used by Resolve partners during the project, to assess soil functionality on degraded aeras and evaluate soil restoration after applying recovering practices

ReSolVe project – Restoring optimal Soil functionality in degraded areas within organic Vineyards

In both conventional and organic European vineyards, it is quite common to have areas characterized by problems in vine health, grape production and quality. These problems are very often related to sub-optimal soil functionality, caused by an improper land preparation before vine plantation and/or management. Different causes for soil malfunctioning can include: poor organic matter content and plant nutrient availability (both major and trace elements); imbalance of some element ratios (Ca/Mg, K/Mg, P/Fe, and Fe/Mn); pH; water deficiency; soil compaction and/or scarce oxygenation. Fertility related problems can often be compensated in conventional settings with externally introduced fertilizers that are not permitted in organic vineyards. ReSolVe is a transnational and multidisciplinary research project aimed at testing the effects of selected agronomic strategies for restoring optimal soil functionality in degraded areas within organic vineyard. The term "degraded areas within vineyard" means areas showing reduced vine growth, disease resistance, grape yield and quality. These areas may have lost their soil functionality because of either an improper land preparation, or an excessive loss of soil organic matter and nutrients, erosion and/or compaction. The project, financed by Core-Organic plus program of the ERA-NET plus action (2015-2018), aims at identifying the main causes of the soil functionality loss and testing different organic recovering methods. The different restoring strategies will implement: i) compost, ii) green manure with winter legumes, iii) dry mulching with cover crops. The strategies will be tested according to their efficiency to improve: i) plant and roots growth and well-being; ii) grape yield and quality; iii) quality of soil ecosystem services and their stability over the years; iv) better express of the “terroir effect”, that is, the linkage of wine quality to the environmental characteristics of the cultivation site. The project involves 8 research groups in 6 different EU countries (Italy, France, Spain, Sweden, Slovenia, and Turkey), with experts from several disciplines, including soil science, ecology, microbiology, grapevine physiology, viticulture, and biometry. The experimental vineyards are situated in Italy (Chianti hills and Maremma plain, Tuscany), France (Bordeaux and Languedoc), Spain (La Rioja) and Slovenia (Primorska) for winegrape, and in Turkey (Adana and Mersin) for table grape. The restoration techniques and the monitoring methodologies developed and tested during the ReSolVe project will be described in specific final guidelines. The restoration techniques will be accessible for all the European farmers and will be low cost and environmental-friendly. A protocol of analyses and measurements between the all partners will allow an effective and comparable monitoring of vineyard ecosystemic functioning in European countries

Protocol for soil functionality assessment in vineyards

Protocols used by Resolve partners during the project, to assess soil functionality on degraded aeras and evaluate soil restoration after applying recovering practices

Estimation of grape quality in vineyards using a new viticultural index

Crop yield, total leaf area, canopy surface area and other vineyard parameters were determined on different 'Tempranillo' and 'Grenache' (Vitis vinifera L.) vineyards situated in Rioja appellation (Spain). All parameters were determined during three years. Grape vineyard assessment was performed by Vitur scoresheet, proposed by TARDAGUILA and MARTINEZ DE TODA (2005). The main chemical composition parameters of grape pulp and skin were also determined. The correlations between the viticultural variables and the chemical composition variables of the grapes were also analysed. The parameter that displayed the best correlation with grape phenolic composition was the CSA/Y/ShL parameter, referred to as the Toda Index. This index could be used to estimate the phenolic composition of grapes. It also presented the best correlations with grape quality, estimated using the Vitur score-sheet. These results suggest that, for winegrape vineyard assessment, Vitur score-sheet (necessarily subjective) may be replaced with the new Toda index (faster and objective). The main advantage of this new parameter is that it is easy to determine and is completely objective, unlike visual estimation which offers a high degree of subjectivity.

Unbiased Scientific Approaches to the Study of Terroir Are Needed!

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Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

The aim of this research was to implement a methodology through the generation of a supervised classifier based on the Mahalanobis distance to characterize the grapevine canopy and assess leaf area and yield using RGB images. The method automatically processes sets of images, and calculates the areas (number of pixels) corresponding to seven different classes (Grapes, Wood, Background, and four classes of Leaf, of increasing leaf age). Each one is initialized by the user, who selects a set of representative pixels for every class in order to induce the clustering around them. The proposed methodology was evaluated with 70 grapevine (V. vinifera L. cv. Tempranillo) images, acquired in a commercial vineyard located in La Rioja (Spain), after several defoliation and de-fruiting events on 10 vines, with a conventional RGB camera and no artificial illumination. The segmentation results showed a performance of 92% for leaves and 98% for clusters, and allowed to assess the grapevine’s leaf area and yield with R2 values of 0.81 (p < 0.001) and 0.73 (p = 0.002), respectively. This methodology, which operates with a simple image acquisition setup and guarantees the right number and kind of pixel classes, has shown to be suitable and robust enough to provide valuable information for vineyard management