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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: EFSA BIOHAZ Panel; Koutsoumanis, Konstantinos; Allende, Ana; Alvarez-Ordonez, Avelino; +23 Authors

    The European Food Safety Authority (EFSA) asked the Panel on Biological Hazards (BIOHAZ) to deliver a scientific Opinion on the maintenance of the list of qualified presumption of safety (QPS) biological agents. The QPS approach was developed by the EFSA Scientific Committee to provide a harmonised generic pre-evaluation to support safety risk assessments of biological agents intentionally introduced into the food and feed chain, in support of the concerned scientific Panels and Units in the frame of market authorisations. The taxonomic identity, body of knowledge, the safety concerns in relation to pathogenicity and virulence, and the safety for the environment of those microbiological agents are assessed. Safety concerns identified for a respective taxonomic unit (TU) are, where possible and reasonable in number, reflected as ‘qualifications’ that are assessed at the strain level by the EFSA’s scientific Panels. The “list of microorganisms with QPS status” first established in 2007, has been revised and updated annually until 2014 via QPS Opinions; since 2014 the updates are carried out and published every 3 years. If new information is retrieved from extended literature searches (ELS) that would change the QPS status of a TU or its qualifications, this is also published in the Panel Statement covering the previous 6-months period. The ELS protocol can be found at https://zenodo.org/doi/10.5281/zenodo.3607188 and the Search strategies are available at: https://doi.org/10.5281/zenodo.3607192. The QPS Panel Statement also includes the evaluation of microbiological agents notified to EFSA within the 6-month period for an assessment for feed additives, food enzymes, food additives and flavourings, and novel foods or plant protection products for a possible QPS status. The new QPS status recommendations are incorporated into the 2022 updated “list of microorganisms with QPS status” is available in this upload. The list of “Microbiological agents as notified to EFSA” from 2007, in the context of technical dossiers to EFSA Units, for intentional use in feed and/or food or as sources of food and feed additives, enzymes and plant protection products (PPPs) for safety assessment can be found at https://doi.org/10.5281/zenodo.3607183. Useful links on EFSA QPS EFSA topic on QPS: https://www.efsa.europa.eu/en/topics/topic/qualified-presumption-safety-qps Link to the virtual issue on QPS on Wiley Online Library: https://efsa.onlinelibrary.wiley.com/doi/toc/10.1002/(ISSN)1831-4732.QPS Versions history: Versions 1 and 2 were substituted by version 3 – all are associated with the QPS Panel statement EFSA 7: suitability of taxonomic units notified to EFSA until September 2017: https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/j.efsa.2018.5131 Version 4 is associated with the QPS Panel statement EFSA 8: suitability of taxonomic units notified to EFSA until March 2018: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2018.5315 Versions 5 and 6 were substituted by version 7 – all are associated with the QPS Panel statement EFSA 9: suitability of taxonomic units notified to EFSA until September 2018: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2019.5555 Version 8 is associated with the QPS Panel statement EFSA 10: suitability of taxonomic units notified to EFSA until March 2019: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2019.5753 Version 9 is associated with the QPS Panel statement EFSA 11: suitability of taxonomic units notified to EFSA until September 2019: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2020.5965 and with the Scientific Opinion on the update of the list of QPS-recommended biological agents intentionally added to food or feed as notified to EFSA (2017-2019): https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2020.5966 Version 10: updates version 9 following the update of the qualification of Bacillus velezensis as: ‘absence of toxigenic potential and absence of aminoglycoside production ability’ - applied in the QPS Statement part 11 (ON-5965) and in the 2019 Scientific Opinion (ON-5966). Version 11: updates version 10 following the addition of the Bacillus circulans ‘for production purposes only’ - applied in the QPS Statement part 13 (ON-6377) and in the 2019 Scientific Opinion (ON-5966). Version 12 updates version 11 following the addition of the Bacillus paralicheniformis with the qualifications 'absence of toxigenic activity’ and ‘absence of genetic information to synthesize bacitracin'; and adding Schizochytrium limacinum, which is a synomym for Aurantiochytrium limacinum, - applied in the QPS Statement part 14 (ON-6689) and in the 2019 Scientific Opinion (ON-5966). Version 13 updates version 12 following the addition of Haematococcus lacustris synonym Haematococcus pluvialis, recommended for QPS status with the qualification ‘for production purposes only’. Some other changes related to taxonomy and qualifications are described in the QPS Statement part 15 (ON-7045). Version 14, update of version 13, is related to QPS Statement part 16 (ON-7408). Version 15 is related to QPS Statement part 17 (ON-7746). Version 16 is related to QPS Statement part 18 (ON-8092). Version 17 is related to QPS Statement part 19 (ON-8517). Version 18 is also related to QPS Statement part 19 (ON-8517) with a small correction. Note: As of January 2022 the updated list is provided only as excel file format. EU; XLSX; biohaz@efsa.europa.eu

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2023
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      ZENODO
      Dataset . 2023
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
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    Authors: EFSA;

    This document describes the data model for reporting data on analytical test results and related metadata to EFSA. The data model described here will be used for the first time in EFSA's Avian Influenza data collection for samples collected in 2023. For all the relevant data elements, definitions and information on data types and reporting constraints are provided. The elements controlled by EFSA catalogues terminology are indicated and all the admissible values are presented for each data element. Additionally, the business rules associated with the quality checks are listed, in order to facilitate the data preparation appropriately. Finally, some general definitions are provided to help you inspect the data model more efficiently. You can browse through the different tabs to explore the data model and the business rules, as well as all the related data element values from the different catalogues. For an easier navigation between the data model and the catalogue tabs, you can click on the name of the catalogue you want to review, located in the central tab of the data model, and you will be transferred directly to the respective tab. You can also click on the 'Back to data model' button to go back and forth on several tabs

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    ZENODO
    Model . 2023
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Model . 2023
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Pisciotta Tosini, G;

    The agri-food system is called upon to face the challenge of sustainability without further delay. The 2030 Agenda for Sustainable Development (first) and the Farm to Fork Strategy (later) have reaffirmed the need for rapidly achieving more sustainable production models, also in the agri-food sector. The pursuit of this goal requires to clarify first of all the parameters on which the assessment of the greater or lesser sustainability of the agri-food system should be based. Faced with the advent of the so-called digital revolution, the question arises whether digitalisation can in any way represent a valid ally to the agri-food system in the pursuit of sustainability.

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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archivio istituziona...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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    Authors: Preteroti, Antonio;
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archivio Istituziona...arrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
  • Authors: Paula Marti; Nuno Grosso; David Petit; Claudia Sisti; +26 Authors

    Climate change is impacting Mediterranean viticulture with reduced water availability, rising temperatures, and extreme weather events, affecting grape quality and yields. Despite challenges, preserving viticulture is vital for the region's heritage and sustainable development. Adaptation strategies must be systemic, considering long-term climate trends, resource availability, and broader agricultural and economic factors. Collective action and foresight are essential for a comprehensive and effective adaptation plan to ensure the resilience of Mediterranean winegrowing. The TELLURIS project aims to develop local to regional adaptation plans in eight Mediterranean regions of five of the biggest wine producing European countries, focusing on transformative systemic adaptations and nature-based solutions to combat climate change impacts on viticulture. The process of crafting the adaptation strategy will be guided by multi-stakeholder participation and informed by evidence from remote sensing, in-situ observations, and soil analyses collected from nine extensive demonstration sites, where some of the selected nature-based and smart farming climate adaptation methods will be tested. In conjunction with these pathways, TELLURIS will establish a network of viticulture regions within the scope of the Mission Adaptation to Climate Change. This network will leverage the disseminated findings from the project to craft their unique adaptation strategies and introduce transformative changes to the European wine sector. The future roadmap for this transformation will be guided by an upscaling methodology that will be developed during the project to generate suitability maps for regions with similar adaptation potential as the TELLURIS regions. It will also be supported by the establishment of climate adaptation support tools and services built upon the tested solutions, complete with clearly defined business models.

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    CNR ExploRA
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    Authors: Stefanini, Federico M.;

    Plant pathogens pose a persistent threat to grape production, causing significant economic losses if disease management strategies are not carefully planned and implemented. Simulation models are one approach to address this challenge because they provide short-term and field-scale disease prediction by incorporating the biological mechanisms of the disease process and the different phenological stages of the vines. In this study, we developed a Bayesian model to predict the probability of Plasmopara viticola infection in grapevines, considering various disease management approaches. To aid decision-making, we introduced a multi-attribute utility function that incorporated a sustainability index for each strategy. The data used in this study were derived from trials conducted during the production years 2018-2020, involving the application of five disease management strategies: conventional Integrated Pest Management (IPM), conventional organic, IPM with substantial fungicide reduction combined with host-defense inducing biostimulants, organic management with biostimulants, and the use of biostimulants only.

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    Dataverse UNIMI
    Dataset . 2023
    Data sources: Dataverse UNIMI
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      Dataverse UNIMI
      Dataset . 2023
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    Authors: Zola, C.;
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    Authors: Giovanola, B.;
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    Authors: Lazzeretti, L.; Oliva, S.; Innocenti, N.; Capone, F.;
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    Authors: El-Hokayem, Léonard; De Vita, Pantaleone; Usman, Muhammad; Link, Andreas; +1 Authors

    Groundwater dependent vegetation (GDV) is essential for maintaining ecosystem functions and services, providing critical habitat and sustaining human livelihoods. A novel multicriteria framework helps to identify areas where potential groundwater dependent vegetation (pGDV) occurs in the Mediterranean biome. Globally-available datasets targeting 1) groundwater vegetation interaction; 2) soil water holding capacity; 3) topographical landscape wetness potential; 4) land use land cover and 5) hydraulic conductivity of rocks are combined in a weighted, easy-to-use index, composed of eleven thematic layers. Input layers for the index calculation are available in the data collection: 1) pre-processed (rasterised and clipped to the Mediterranean) and 2) harmonised and reclassified. All input data was extracted globally. Either, directly from the respective studies or through the data catalogue in the Google Earth Engine. All datasets were acquired and processed in 2022 and 2023. Time series data for potential inflow dependency and Normalized Difference Vegetation Index (NDVI) were extracted for the period 2003-2021. Finally, the mean value was calculated over this period. All other data sets, however, mark a fixed point in time. Ground truth vegetation data was used to calculate layer weightings with a Random Forest. 10 m * 10 m vegetation plots were collected in July and August 2021 and 2022 in southern Italy (Campania region) inside the 'Cilento, Vallo di Diano and Alburni National Park'. 236 vegetation plots are available, containing general information on the vegetation (habitat, species number, stratification), mean indicator values, plant life forms, leaf anatomy as well as a calculated ecohydrological potential for the presence of GDV. The potential was calculated based on the coverage of phreatophyte species and the moisture value of non-phreatophyte species. The final pGDV maps including different weightings of the eleven thematic layers are compiled at a resolution of 500 m in WGS1984 (EPSG 4326). Finally, five pGDV classes (very low to very high potential) were derived and the share of high pGDV was calculated for level 8 HydroBASINS in the Mediterranean. Results support prioritisation of areas for essential regional high-resolution identification of GDV, to ensure sustainable groundwater management and in turn protect GDV as local biodiversity hotspots.

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    PANGAEA
    Dataset . 2023
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2023
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: EFSA BIOHAZ Panel; Koutsoumanis, Konstantinos; Allende, Ana; Alvarez-Ordonez, Avelino; +23 Authors

    The European Food Safety Authority (EFSA) asked the Panel on Biological Hazards (BIOHAZ) to deliver a scientific Opinion on the maintenance of the list of qualified presumption of safety (QPS) biological agents. The QPS approach was developed by the EFSA Scientific Committee to provide a harmonised generic pre-evaluation to support safety risk assessments of biological agents intentionally introduced into the food and feed chain, in support of the concerned scientific Panels and Units in the frame of market authorisations. The taxonomic identity, body of knowledge, the safety concerns in relation to pathogenicity and virulence, and the safety for the environment of those microbiological agents are assessed. Safety concerns identified for a respective taxonomic unit (TU) are, where possible and reasonable in number, reflected as ‘qualifications’ that are assessed at the strain level by the EFSA’s scientific Panels. The “list of microorganisms with QPS status” first established in 2007, has been revised and updated annually until 2014 via QPS Opinions; since 2014 the updates are carried out and published every 3 years. If new information is retrieved from extended literature searches (ELS) that would change the QPS status of a TU or its qualifications, this is also published in the Panel Statement covering the previous 6-months period. The ELS protocol can be found at https://zenodo.org/doi/10.5281/zenodo.3607188 and the Search strategies are available at: https://doi.org/10.5281/zenodo.3607192. The QPS Panel Statement also includes the evaluation of microbiological agents notified to EFSA within the 6-month period for an assessment for feed additives, food enzymes, food additives and flavourings, and novel foods or plant protection products for a possible QPS status. The new QPS status recommendations are incorporated into the 2022 updated “list of microorganisms with QPS status” is available in this upload. The list of “Microbiological agents as notified to EFSA” from 2007, in the context of technical dossiers to EFSA Units, for intentional use in feed and/or food or as sources of food and feed additives, enzymes and plant protection products (PPPs) for safety assessment can be found at https://doi.org/10.5281/zenodo.3607183. Useful links on EFSA QPS EFSA topic on QPS: https://www.efsa.europa.eu/en/topics/topic/qualified-presumption-safety-qps Link to the virtual issue on QPS on Wiley Online Library: https://efsa.onlinelibrary.wiley.com/doi/toc/10.1002/(ISSN)1831-4732.QPS Versions history: Versions 1 and 2 were substituted by version 3 – all are associated with the QPS Panel statement EFSA 7: suitability of taxonomic units notified to EFSA until September 2017: https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/j.efsa.2018.5131 Version 4 is associated with the QPS Panel statement EFSA 8: suitability of taxonomic units notified to EFSA until March 2018: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2018.5315 Versions 5 and 6 were substituted by version 7 – all are associated with the QPS Panel statement EFSA 9: suitability of taxonomic units notified to EFSA until September 2018: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2019.5555 Version 8 is associated with the QPS Panel statement EFSA 10: suitability of taxonomic units notified to EFSA until March 2019: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2019.5753 Version 9 is associated with the QPS Panel statement EFSA 11: suitability of taxonomic units notified to EFSA until September 2019: https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2020.5965 and with the Scientific Opinion on the update of the list of QPS-recommended biological agents intentionally added to food or feed as notified to EFSA (2017-2019): https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2020.5966 Version 10: updates version 9 following the update of the qualification of Bacillus velezensis as: ‘absence of toxigenic potential and absence of aminoglycoside production ability’ - applied in the QPS Statement part 11 (ON-5965) and in the 2019 Scientific Opinion (ON-5966). Version 11: updates version 10 following the addition of the Bacillus circulans ‘for production purposes only’ - applied in the QPS Statement part 13 (ON-6377) and in the 2019 Scientific Opinion (ON-5966). Version 12 updates version 11 following the addition of the Bacillus paralicheniformis with the qualifications 'absence of toxigenic activity’ and ‘absence of genetic information to synthesize bacitracin'; and adding Schizochytrium limacinum, which is a synomym for Aurantiochytrium limacinum, - applied in the QPS Statement part 14 (ON-6689) and in the 2019 Scientific Opinion (ON-5966). Version 13 updates version 12 following the addition of Haematococcus lacustris synonym Haematococcus pluvialis, recommended for QPS status with the qualification ‘for production purposes only’. Some other changes related to taxonomy and qualifications are described in the QPS Statement part 15 (ON-7045). Version 14, update of version 13, is related to QPS Statement part 16 (ON-7408). Version 15 is related to QPS Statement part 17 (ON-7746). Version 16 is related to QPS Statement part 18 (ON-8092). Version 17 is related to QPS Statement part 19 (ON-8517). Version 18 is also related to QPS Statement part 19 (ON-8517) with a small correction. Note: As of January 2022 the updated list is provided only as excel file format. EU; XLSX; biohaz@efsa.europa.eu

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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    Data sources: Datacite
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      ZENODO
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      ZENODO
      Dataset . 2023
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      ZENODO
      Dataset . 2023
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: EFSA;

    This document describes the data model for reporting data on analytical test results and related metadata to EFSA. The data model described here will be used for the first time in EFSA's Avian Influenza data collection for samples collected in 2023. For all the relevant data elements, definitions and information on data types and reporting constraints are provided. The elements controlled by EFSA catalogues terminology are indicated and all the admissible values are presented for each data element. Additionally, the business rules associated with the quality checks are listed, in order to facilitate the data preparation appropriately. Finally, some general definitions are provided to help you inspect the data model more efficiently. You can browse through the different tabs to explore the data model and the business rules, as well as all the related data element values from the different catalogues. For an easier navigation between the data model and the catalogue tabs, you can click on the name of the catalogue you want to review, located in the central tab of the data model, and you will be transferred directly to the respective tab. You can also click on the 'Back to data model' button to go back and forth on several tabs

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    ZENODO
    Model . 2023
    License: CC BY
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      ZENODO
      Model . 2023
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Pisciotta Tosini, G;

    The agri-food system is called upon to face the challenge of sustainability without further delay. The 2030 Agenda for Sustainable Development (first) and the Farm to Fork Strategy (later) have reaffirmed the need for rapidly achieving more sustainable production models, also in the agri-food sector. The pursuit of this goal requires to clarify first of all the parameters on which the assessment of the greater or lesser sustainability of the agri-food system should be based. Faced with the advent of the so-called digital revolution, the question arises whether digitalisation can in any way represent a valid ally to the agri-food system in the pursuit of sustainability.

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    Authors: Preteroti, Antonio;
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  • Authors: Paula Marti; Nuno Grosso; David Petit; Claudia Sisti; +26 Authors

    Climate change is impacting Mediterranean viticulture with reduced water availability, rising temperatures, and extreme weather events, affecting grape quality and yields. Despite challenges, preserving viticulture is vital for the region's heritage and sustainable development. Adaptation strategies must be systemic, considering long-term climate trends, resource availability, and broader agricultural and economic factors. Collective action and foresight are essential for a comprehensive and effective adaptation plan to ensure the resilience of Mediterranean winegrowing. The TELLURIS project aims to develop local to regional adaptation plans in eight Mediterranean regions of five of the biggest wine producing European countries, focusing on transformative systemic adaptations and nature-based solutions to combat climate change impacts on viticulture. The process of crafting the adaptation strategy will be guided by multi-stakeholder participation and informed by evidence from remote sensing, in-situ observations, and soil analyses collected from nine extensive demonstration sites, where some of the selected nature-based and smart farming climate adaptation methods will be tested. In conjunction with these pathways, TELLURIS will establish a network of viticulture regions within the scope of the Mission Adaptation to Climate Change. This network will leverage the disseminated findings from the project to craft their unique adaptation strategies and introduce transformative changes to the European wine sector. The future roadmap for this transformation will be guided by an upscaling methodology that will be developed during the project to generate suitability maps for regions with similar adaptation potential as the TELLURIS regions. It will also be supported by the establishment of climate adaptation support tools and services built upon the tested solutions, complete with clearly defined business models.

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    Authors: Stefanini, Federico M.;

    Plant pathogens pose a persistent threat to grape production, causing significant economic losses if disease management strategies are not carefully planned and implemented. Simulation models are one approach to address this challenge because they provide short-term and field-scale disease prediction by incorporating the biological mechanisms of the disease process and the different phenological stages of the vines. In this study, we developed a Bayesian model to predict the probability of Plasmopara viticola infection in grapevines, considering various disease management approaches. To aid decision-making, we introduced a multi-attribute utility function that incorporated a sustainability index for each strategy. The data used in this study were derived from trials conducted during the production years 2018-2020, involving the application of five disease management strategies: conventional Integrated Pest Management (IPM), conventional organic, IPM with substantial fungicide reduction combined with host-defense inducing biostimulants, organic management with biostimulants, and the use of biostimulants only.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Dataverse UNIMIarrow_drop_down
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    Dataverse UNIMI
    Dataset . 2023
    Data sources: Dataverse UNIMI
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