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Critical Reviews in Plant Sciences
Article . 2023 . Peer-reviewed
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https://dx.doi.org/10.60692/ak...
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New Tools for the Management of Fungal Pathogens in Extensive Cropping Systems for Friendly Environments

أدوات جديدة لإدارة مسببات الأمراض الفطرية في أنظمة المحاصيل الواسعة للبيئات الصديقة
Authors: María Cecilia Pérez-Pizá; Francisco Sautua; Agnieszka Szparaga; Andrea Bohatá; Sławomir Kocira; Marcelo Carmona;

New Tools for the Management of Fungal Pathogens in Extensive Cropping Systems for Friendly Environments

Abstract

Crop production plays a critical role in global food security, with key commodities such as corn, wheat, soybean, and rice ranking among the most widely cultivated crops. These major crops are predominantly grown within extensive cropping systems. However, these systems are threatened by fungal diseases, which may cause substantial yield reductions. The most widely adopted strategy to manage fungal pathogens in extensively grown crops worldwide is chemical control. Nevertheless, this strategy has multiple drawbacks and potential hazards, including pathogen resistance, environmental contamination, and negative effects on human health and other organisms. As a logical result, over the last decades, conventional agricultural systems have been questioned and a transition toward more sustainable production methods has emerged. The new productive paradigm emphasizes the adoption of eco-friendly approaches to disease management, with biofungicides and biostimulants among the new tools gaining popularity. However, establishing a regulatory framework for these tools in different countries has proven challenging due to the lack of global harmonization. The primary objective of this review is to gather dispersed information on new tools and technologies (either available in the market or being studied) applicable to extensively grown crops generated by the latest scientific advances. Additionally, the review seeks to contribute to clarifying the categorization of these new tools (biostimulants, biofungicides, plant defense inducers, and technologies such as gene editing, RNAi, nanotechnology, and physical treatment) to enhance their understanding and to critically assess their potentials, challenges, and future perspectives. Furthermore, the review aims to identify tools successfully implemented in horticulture or other intensive production systems but not yet practically applied in extensively grown crops, to pave the way for future advances and potential adaptations of these tools to suit extensive agricultural practices. Finally, this review presents a practical disease management model that incorporates new tools to address a key disease in wheat.

Keywords

Mechanisms of Plant Immune Response, Artificial intelligence, Cropping, Plant Science, Agricultural and Biological Sciences, Risk analysis (engineering), Business, Biology, Ecology, Physics, Sustainable agriculture, Life Sciences, Agriculture, Food security, Acoustics, Crop Management, Computer science, Plant-Parasitic Nematodes in Molecular Plant Pathology, Plant Biostimulants in Agriculture and Horticulture, Emerging technologies, Sustainability, Harmonization, FOS: Biological sciences, Biotechnology

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Top 10%
Green