Special Issue "Novel Approaches for Crop Disease Control"

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 June 2023 | Viewed by 1244

Special Issue Editors

Department of Biotechnology, Bharathiar University, Coimbatore 641046, India
Interests: crop protection; plant disease diagnosis; genetic engineering; genome editing; plant molecular biology
Amity Institute of Nanotechnology, Amity University, Noida 201301, Uttar Pradesh, India
Interests: plant molecular biology; host-pathogen interaction; agricultural nanotechnology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global food security is one of the greatest challenges faced by current humanity. In the era of diminishing resources, sustainable approaches for the intensification and protection of world agriculture are needed.  In addition to changing abiotic scenarios, studies have estimated that 20–40% loss in world food production is due to pests and diseases. Hence, improved crop protection from diseases is one of the most important strategies to increase global food production. Currently, crop disease management includes coordinated approaches, ranging from cultural practices, growing resistant varieties, chemical, and biological control methods. Farmers are adopting integrated disease management by using novel and alternate approaches. However, still there is a need for more and more research on our dependence on chemical control. The research in this direction will fulfill the societal need for durable sustainable means of managing plant diseases that would be less fungicide-dependent, ecologically safe, and socially acceptable.

New control strategies that could be integrated into current disease management can be evolved through a better understanding of the growth and behavior of plant pathogens. It can also include the identification of resistance genes from non-host crops and integrating them into popular varieties. Recently developed gene editing tools also can be part of multifaceted approaches to reducing the losses to plant pathogens. Additionally, the applications of nanotechnology in the agricultural sector have attracted considerable attention in detection and protection against plant pathogens. In this Special Issue, we will have the latest research and review articles on these and other novel methods of crop disease control.

Dr. M. Arun
Dr. Ramesh Namdeo Pudake
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 2000 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

  • plant disease
  • management of plant pathogen
  • biopesticides
  • integrated disease management
  • nano agrochemicals
  • gene editing
  • non-host resistance
  • plant pathogen ecology

Published Papers (1 paper)

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Research

Article
Candidate miRNAs from Oryza sativa for Silencing the Rice Tungro Viruses
Agriculture 2023, 13(3), 651; https://doi.org/10.3390/agriculture13030651 - 10 Mar 2023
Viewed by 898
Abstract
Rice tungro disease (RTD), caused by Rice tungro bacilliform virus (RTBV) and Rice tungro spherical virus (RTSV) is one of the most prominent viral diseases in Asian countries. This virus disease problem seems to have been accentuated in those countries by causing a [...] Read more.
Rice tungro disease (RTD), caused by Rice tungro bacilliform virus (RTBV) and Rice tungro spherical virus (RTSV) is one of the most prominent viral diseases in Asian countries. This virus disease problem seems to have been accentuated in those countries by causing a series of outbreaks over the years after being first reported in International Rice Research Institute (IRRI), Philippines, in 1963. One of the effective ways to combat viruses is through RNA silencing. microRNA is an important player in the RNA silencing mechanism. Genome sequences analysis shows RTBV-SP isolate (8 Kb) is composed of four open reading frames (ORF 1, ORF 2, ORF 3, and ORF 4), meanwhile, RTSV-SP (12 Kb) consists of one open reading frame encoded by seven different polyproteins (P1, CP1, CP2, CP3, NTP, Pro, and Rep). Therefore, this study investigated possible rice-encoded miRNAs targeted on RTBV and RTSV using in silico analysis. Five bioinformatics tools were employed using five different prediction algorithms: miRanda, RNA22, RNAhybrid, Tapirhybrid, and psRNATarget. The results revealed each RTBV and RTSV can be silenced by three potentially best candidate rice-encoded miRNA. For RTBV, osa-miR5510 (accession no. MIMAT0022143), osa-miR3980a-3p (accession no. MIMAT0019676), and osa-miR3980b-3p (accession no. MIMAT0019678) are being predicted by all five algorithms. Meanwhile, for RTSV, three miRNAs predicted are osa-miR414 (accession no. MIMAT0001330), osa-miR5505 (accession no. MIMAT00221138) and osa-miR167a-3p (accession no. MIMAT0006780). The predicted data provide useful material for developing RTBV and RTSV-resistant rice varieties. Full article
(This article belongs to the Special Issue Novel Approaches for Crop Disease Control)
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