Special Issue "Feature Papers in Crop Protection, Diseases, Pest and Weeds"

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Protection, Diseases, Pest and Weeds".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 778

Special Issue Editors

Department of Chemical Sciences, University of Naples Federico II, Complesso Universitario Monte S. Angelo Via Cintia 4, I-80126 Naples, Italy
Interests: secondary metabolites in plant-pathogen interaction; natural substances with biological activity; chromatographic techniques; spectroscopic methods
Special Issues, Collections and Topics in MDPI journals
Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Via Federico Delpino 1, I-80137 Naples, Italy
Interests: plant protection; biocontrol; bioactive secondary metabolites; biopesticides; biostimulants; Trichoderma spp.; disease resistance; biofertilizers; host plant resistance; pest management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The section of the Agriculture journal “Crop Protection, Diseases, Pests, and Weeds” has always strived toward the publication high-quality of published papers. I would like to thank everyone who has contributed to the results achieved to date.

The constant challenges faced by the agricultural sector regarding climate change, and the evolution of pesticide resistance, as well as the need to reduce the use of the latter, encourage us to continue along this path. As part of integrated pest management (pathogens, animal pests and weeds), particular attention has been paid to studies exploring innovative strategies of control in the context of sustainable agriculture. 

This Special Issue aims to collect the most advanced studies in the field of crop protection, pest management, identification of pathogens, biological control, development of safe pesticides with novel mechanisms of action, studies of plant–microbe interactions, and more.

In this respect, in this Special Issue, multi-, inter- and transdisciplinary original papers and reviews will be collected. Contributions to this Special Issue are only accepted from the editorial board and scientists invited by the editorial board.

Dr. Anna Andolfi
Dr. Francesco Vinale
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • integrated pest management
  • biological control
  • sustainable agriculture
  • environmental impact
  • climatic change and emerging diseases
  • eco-friendly pest control
  • plant–microbe interactions

Published Papers (1 paper)

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13 pages, 1300 KiB  
Influence of Temperature and Wetness on Taphrina deformans Ascospore and Blastospore Germination: Disease Forecasting and Validation
Agriculture 2023, 13(10), 1974; https://doi.org/10.3390/agriculture13101974 - 11 Oct 2023
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Peach leaf curl is a fungal disease caused by Taphrina deformans, and it can severely affect the health and productivity of peach and nectarine trees (Prunus persica) if left unmanaged. This study was carried out to investigate the temperature and [...] Read more.
Peach leaf curl is a fungal disease caused by Taphrina deformans, and it can severely affect the health and productivity of peach and nectarine trees (Prunus persica) if left unmanaged. This study was carried out to investigate the temperature and wetness conditions that affect the germination of blastospores and ascospores of local isolates of the fungus T. deformans. The results showed that the rate of both ascospore and blastospore germination was reduced as the temperature increased from 0 to 20 °C. A decrease in temperature from the range of 25 °C to 30 °C caused a reduction in the germination of conidia for both ascospores and blastospores. Ascospore and blastospore germination were totally inhibited at −3 and 35 °C. Under constant temperatures of 20 °C, the percentage of both ascospore and blastospore germination of T. deformans gradually increased as the wetness period increased from 9 to 15 h. However, there was no further increase in germination observed beyond the 15 h wetness period. Additionally, this study aimed to validate the predictive models of T. deformans, developed based on the favorable temperatures and leaf wetness durations, under the specific field conditions of Naoussa, Greece. The results indicate that while both the ascosporic and blastosporic models were capable of correctly predicting infection periods, there were differences in their predictions of infection risk. The ascosporic model predicted lower risk infection, which aligned well with the observed symptoms of the disease. In contrast, the blastosporic model predicted higher risk infection, but this did not match the actual intensity of the symptoms. Finally, this study also provided insights into the potential benefits of using predictive models to guide fungicide applications, potentially leading to more targeted and efficient disease management strategies for commercial peach orchards. Full article
(This article belongs to the Special Issue Feature Papers in Crop Protection, Diseases, Pest and Weeds)
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