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French low-input winegrowing demonstration farms: A dataset of their operations traceability and sustainability performances. | LitMetric

French low-input winegrowing demonstration farms: A dataset of their operations traceability and sustainability performances.

Data Brief

SAVE, INRAE, Bordeaux Sciences Agro, ISVV, F-33140, 71 rue Edouard Bourleaux, 33140 Villenave d'Ornon, France.

Published: June 2024

AI Article Synopsis

  • This article analyzes traceability and performance data from 343 wine farms participating in the DEPHY network, aimed at developing low-pesticide farming practices.
  • Data was collected annually from 2017 to 2020 by extensionists who helped farmers track their operations and reduce pesticide use.
  • The findings, including farming practices and performance metrics, are valuable for researchers and policymakers seeking to understand and promote sustainable winegrowing techniques.

Article Abstract

This article presents data on farming operations traceability and associated performances, for winegrowing systems with low phytosanitary inputs. 343 farms were sampled from the DEPHY network: a governmental initiative to produce references on phytosanitary-efficient cropping systems under real conditions of production. Data were collected every campaign between 2017 and 2020, by multiple extensionists who provide support to the voluntarily enlisted growers, in exchange for traceability of their practices and their commitment to reducing pesticide use. The dataset includes raw data of farming operations (date, machinery, inputs, products and doses, etc.), and performance indicators computed at farm level (Treatment Frequency Index, workload, expenses, greenhouse gas emissions, etc.). This information could be useful to researchers, policymakers and agricultural consultants. It provides leads to understand how winegrowers manage to successfully reduce their pesticide consumption, as well as assessing the triggers and entailments of such transitions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11058091PMC
http://dx.doi.org/10.1016/j.dib.2024.110415DOI Listing

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