Literature DB >> 32551340

Assessment of new low input vine systems: Dataset on environmental, soil, biodiversity, growth, yield, disease incidence, juice and wine quality, cost and social data.

Marie Thiollet-Scholtus1, Alix Muller1, Céline Abidon2, Julie Grignion3, Olivier Keichinger1, Rémi Koller4, Aude Langenfeld5, Grégory Lemarquis6, Lionel Ley6, Chantal Rabolin-Meinrad7, Najat Nassr5.   

Abstract

This article describes the environmental, agronomical, economical and social indicators characterization of eleven new low input vine systems to explore their multicriteria performances. These data also describe the reproducibility of all the indicators over six harvest years (2013-2018) over eleven selected winegrower plots. The environmental characterizations are total treatment frequency index, fungicide treatment frequency index, I-Phy indicator from Indigo® method, copper rate, soil compaction, bacterial activity in soil, bacterial molecular biomass, potential nitrogen mineralization rate, amont of avalaible nitrogen in soil at veraison, total specific floristic richness, and relative pollination value. The agronomical characterizations are vine phenology, vine vigour, plot yield, powdery mildew intensity on bunches at harvest, grey rot intensity on bunches at harvest, juice sugar rate (total soluble solids) and juice total acidity rate (titrable acidity) at harvest, wine characteristics after microvinification. The economical characterizations are brut semi-margin at the plot and at the farm scale. The sociological characterizations are human capital, penibility, hardouness work and pesticide risk.
© 2020 The Author(s).

Entities:  

Keywords:  Agronomy; Economic; Multicriteria evaluation; Organic agriculture; Social; Sustainable agriculture; Vine; Wine quality

Year:  2020        PMID: 32551340      PMCID: PMC7289754          DOI: 10.1016/j.dib.2020.105663

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


  4 in total

1.  EUROPOEM, a predictive occupational exposure database for registration purposes of pesticides.

Authors:  J J van Hemmen
Journal:  Appl Occup Environ Hyg       Date:  2001-02

2.  Quantitative analysis of small-subunit rRNA genes in mixed microbial populations via 5'-nuclease assays.

Authors:  M T Suzuki; L T Taylor; E F DeLong
Journal:  Appl Environ Microbiol       Date:  2000-11       Impact factor: 4.792

3.  Developing climatic scenarios for pesticide fate modelling in Europe.

Authors:  S Blenkinsop; H J Fowler; I G Dubus; B T Nolan; J M Hollis
Journal:  Environ Pollut       Date:  2007-11-28       Impact factor: 8.071

4.  An indicator of pesticide environmental impact based on a fuzzy expert system.

Authors:  H M van der Werf; C Zimmer
Journal:  Chemosphere       Date:  1998-04       Impact factor: 7.086

  4 in total

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