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Impacts of Soil Management and Sustainable Plant Protection Strategies on Soil Biodiversity in a Sangiovese Vineyard

Author

Listed:
  • Sara Del Duca

    (Research Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), 50125 Florence, Italy)

  • Stefano Mocali

    (Research Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), 50125 Florence, Italy)

  • Francesco Vitali

    (Research Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), 50125 Florence, Italy)

  • Arturo Fabiani

    (Research Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), 50125 Florence, Italy)

  • Maria Alexandra Cucu

    (Research Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), 50125 Florence, Italy
    Institute for Sustainable Plant Protection (IPSP), National Research Council (CNR), 10135 Turin, Italy)

  • Giuseppe Valboa

    (Research Centre for Agriculture and Environment, Council for Agricultural Research and Economics (CREA-AA), 50125 Florence, Italy)

  • Giada d’Errico

    (Research Centre for Plant Protection and Certification, Council for Agricultural Research and Economics (CREA-DC), 50125 Florence, Italy)

  • Francesco Binazzi

    (Research Centre for Plant Protection and Certification, Council for Agricultural Research and Economics (CREA-DC), 50125 Florence, Italy)

  • Paolo Storchi

    (Research Centre for Viticulture and Enology, Council for Agricultural Research and Economics (CREA-VE), 52100 Arezzo, Italy)

  • Rita Perria

    (Research Centre for Viticulture and Enology, Council for Agricultural Research and Economics (CREA-VE), 52100 Arezzo, Italy)

  • Silvia Landi

    (Research Centre for Plant Protection and Certification, Council for Agricultural Research and Economics (CREA-DC), 50125 Florence, Italy)

Abstract

Vine growing is one of the most economically important sectors of Mediterranean agriculture, but its cultivation practices are highly detrimental to the environment and the associated biota. The application of both natural products inducing endogenous plant defense mechanisms and natural soil management systems represents a potential solution for the preservation and improvement of soil health and biodiversity. The Life Green Grapes project aimed at evaluating the effects of different natural and sustainable vine protection strategies and soil management on vineyard edaphic communities. Soil TOC, TN, C:N ratio, CaCO 3 content and pH were measured. Microbial communities (bacteria and fungi) were characterized through NGS, while nematodes and microarthropods were isolated and identified. Obtained data highlighted a relationshipbetween bacteria, fungi and nematodes with soil chemistry, and an effect of the different soil management on the single and total edaphic communities. Network analysis evidenced a positive effect of the application of sustainable soil managements on the relationships among the different investigated soil trophic levels, suggesting that more natural soil managements allow a better interaction between soil organisms. In conclusion, this work confirms the importance of the application of sustainable and natural soil management practices in agricultural ecosystems, with the aim of conserving and improving soil biodiversity.

Suggested Citation

  • Sara Del Duca & Stefano Mocali & Francesco Vitali & Arturo Fabiani & Maria Alexandra Cucu & Giuseppe Valboa & Giada d’Errico & Francesco Binazzi & Paolo Storchi & Rita Perria & Silvia Landi, 2024. "Impacts of Soil Management and Sustainable Plant Protection Strategies on Soil Biodiversity in a Sangiovese Vineyard," Land, MDPI, vol. 13(5), pages 1-20, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:599-:d:1386151
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    References listed on IDEAS

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    1. Cameron Wagg & Klaus Schlaeppi & Samiran Banerjee & Eiko E. Kuramae & Marcel G. A. Heijden, 2019. "Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. Zachary D Kurtz & Christian L Müller & Emily R Miraldi & Dan R Littman & Martin J Blaser & Richard A Bonneau, 2015. "Sparse and Compositionally Robust Inference of Microbial Ecological Networks," PLOS Computational Biology, Public Library of Science, vol. 11(5), pages 1-25, May.
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