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Agriculture
Special Issues
Disease Management of Vegetables
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Disease Management of Vegetables

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

Deadline for manuscript submissions: closed (20 May 2021) | Viewed by 22231

Special Issue Editors

Prof. Sarah J. Pethybridge

E-Mail Website
Guest Editor
School of Integrative Plant Science, Plant Pathology & Plant-Microbe Biology Section, Cornell AgriTech at the New York State Agricultural Experiment Station, Cornell University, 630 West North Street, Geneva, NY 14456, USA
Interests: agronomy; chemical control; disease detection; digital agriculture; disease forecasting; epidemiology; fungal diseases; population biology
Dr. Frank Hay

E-Mail Website
Guest Editor
School of Integrative Plant Science, Plant Pathology & Plant-Microbe Biology Section, Cornell AgriTech at the New York State Agricultural Experiment Station, Cornell University, 630 West North Street, Geneva, NY 14456, USA
Interests: alliums; biocontrol; disease management; integrated pest management; nematodes; soilborne diseases

Special Issue Information

Dear Colleagues,

The United Nations Department of Economic and Social Affairs has projected that 68% of the world’s population will be urbanized by 2050, compared to 55% in 2018, which highlights an urgent requirement for housing and healthy food. Vegetable production is affected by a broad range of plant diseases responsible for losses in yield and/or quality which directly affect profits and food security at household, national, and global levels. Vegetable farmers seek to increase the flexibility of their crop rotation and maximize profitability through improved disease control and crop judicious use of agrichemicals. The imperative to decrease crop loss in primary production is therefore urgent. In this Special Issue, we highlight recent advances in “Disease Management in Vegetables”. We welcome research delivering new science outcomes that translate directly to practical applications for farmers. This could include, but is not limited to, research into disease forecasting, integrated disease management, and cultural and chemical control. The research will be focused on ultimate goals of reducing crop loss and environmental impact, to improve economic, environmental, and resiliency indicators through enhanced disease management in vegetables.

Prof. Sarah J. Pethybridge
Dr. Frank Hay
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.

Keywords

  • agroecosystems
  • agronomy
  • biocontrol
  • covered cropping
  • digital agriculture
  • disease forecasting and risk
  • epidemiology
  • integrated disease management
  • plant pathology
  • vegetables

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Published Papers (3 papers)

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Research

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15 pages, 4261 KiB  
Article
Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module
by Shengyi Zhao, Yun Peng, Jizhan Liu and Shuo Wu
Agriculture 2021, 11(7), 651; https://doi.org/10.3390/agriculture11070651 - 11 Jul 2021
Cited by 115 | Viewed by 9800
Abstract
Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which [...] Read more.
Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which can better adapt to the diagnosis of a variety of tomato leaf diseases. The network structure mainly includes residual blocks and attention extraction modules. The model can accurately extract complex features of various diseases. Extensive comparative experiment results show that the proposed model achieves the average identification accuracy of 96.81% on the tomato leaf diseases dataset. It proves that the model has significant advantages in terms of network complexity and real-time performance compared with other models. Moreover, through the model comparison experiment on the grape leaf diseases public dataset, the proposed model also achieves better results, and the average identification accuracy of 99.24%. It is certified that add the attention module can more accurately extract the complex features of a variety of diseases and has fewer parameters. The proposed model provides a high-performance solution for crop diagnosis under the real agricultural environment. Full article
(This article belongs to the Special Issue Disease Management of Vegetables)
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14 pages, 1553 KiB  
Article
Bacillus velezensis WZ-37, a New Broad-Spectrum Biocontrol Strain, Promotes the Growth of Tomato Seedlings
by Xiuling Chen, Haifeng Huang, Shumei Zhang, Yao Zhang, Jingbin Jiang, Youwen Qiu, Jiayin Liu and Aoxue Wang
Agriculture 2021, 11(7), 581; https://doi.org/10.3390/agriculture11070581 - 24 Jun 2021
Cited by 15 | Viewed by 4140
Abstract
A biological control agent is arguably an ideal alternative to chemical fungicide for the prevention and control of gray mold disease. During this process, a biological control produces low levels of pollution, generates few residues that pose no risk to the environment, and [...] Read more.
A biological control agent is arguably an ideal alternative to chemical fungicide for the prevention and control of gray mold disease. During this process, a biological control produces low levels of pollution, generates few residues that pose no risk to the environment, and pathogens cannot gain resistance to it easily. A new antifungal strain isolated from plant rhizosphere exhibited high antifungal activity against the phytopathogens Botrytis cinerea, Fusarium oxysporum f. sp. cucumerinum, F. moniliforme, Sclerotinia sclerotiorum, Colletotrichum orbiculare, Alternaria nees, F. equiseti, and F. oxysporum f. sp. lycopersici. It was identified as Bacillus velezensis WZ-37 by morphological and physiological indices and comparisons of 16S rRNA and gyrB genes. WZ-37 can significantly inhibit the mycelia growth of B. cinerea by 96.97%. It can reduce a tomato fruit’s decay rate after 21 days of storage by 33.33% (13.34% less for the control) without significantly affecting its firmness and soluble solids. Plant height, stem diameter, and the fresh and dry weight of tomato seedlings were significantly increased when their seeds were soaked in a WZ-37 suspension (106 cfu/mL) for 3 h and grown for 21 days in soil. WZ-37 has broad-spectrum biocontrol and can prolong a tomato’s storage period and enhance its seedlings’ growth, making it a promising candidate strain for broad-spectrum biocontrol applications in agriculture. Full article
(This article belongs to the Special Issue Disease Management of Vegetables)
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Review

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19 pages, 540 KiB  
Review
Review on Control Methods against Plant Parasitic Nematodes Applied in Southern Member States (C Zone) of the European Union
by Nicola Sasanelli, Alena Konrat, Varvara Migunova, Ion Toderas, Elena Iurcu-Straistaru, Stefan Rusu, Alexei Bivol, Cristina Andoni and Pasqua Veronico
Agriculture 2021, 11(7), 602; https://doi.org/10.3390/agriculture11070602 - 28 Jun 2021
Cited by 49 | Viewed by 7492
Abstract
The European legislative on the use of different control strategies against plant-parasitic nematodes, with particular reference to pesticides, is constantly evolving, sometimes causing confusion in the sector operators. This article highlights the nematode control management allowed in the C Zone of the European [...] Read more.
The European legislative on the use of different control strategies against plant-parasitic nematodes, with particular reference to pesticides, is constantly evolving, sometimes causing confusion in the sector operators. This article highlights the nematode control management allowed in the C Zone of the European Union, which includes the use of chemical nematicides (both fumigant and non-fumigant), agronomic control strategies (crop rotations, biofumigation, cover crops, soil amendments), the physical method of soil solarization, the application of biopesticides (fungi, bacteria and their derivatives) and plant-derived formulations. The authors analyze the use of these strategies and substances in organic agriculture as well as in Integrated Pest Management (IPM) programs. Full article
(This article belongs to the Special Issue Disease Management of Vegetables)
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