Molecular Diagnosis and Control of Plant Diseases
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 (25 January 2024) | Viewed by 13576
Special Issue Editors
Interests: plant pathology; disease diagnosis; pathogen characterization
Special Issues, Collections and Topics in MDPI journals
Interests: plant virus; diagnostic; recombinase polymerase amplification; multiplex RT-qPCR; RPA-LFT; viral genomics; CRISPR-RPA; cucurbits; vegetable; plant bacteria; molecular characterization; plant viral expression vector; plant bodies
Special Issue Information
Dear Colleagues,
Plant pathogens cause significant losses by infecting the crops during the production stage and after harvest. The accurate and early diagnosis of plant disease is vital in managing the disease. In the changing climatic situations, numerous new pathogens and host reports are being made from across the globe. The diverse pathogens such as fungi, fungus-like organisms, bacteria, viruses, nematodes, viroids, phytoplasmas, insects, and weeds are being distributed continuously due to globalization and other anthropogenic activities. Disease diagnosis on the basis of symptoms may not be efficient to suppress these diseases as pathogens might become established well before the plant responds to the pathogen attack. Plant diseases can be coped with successfully if control procedures are introduced at an early stage of epidemic development. Recent advances in molecular biology, biotechnology, and information technology are being applied to the development of rapid, specific, and sensitive tools for the detection of phytopathogens. The scientific community is constantly making efforts to diagnose diseases in a timely manner using fast, accurate, and economical methods. This Special Issue invites authors to submit manuscripts on the development and use of immunological and nucleic acid hybridization-based methods, image sensors and artificial intelligence for pathogen detection in crop systems.
Dr. Swarnalatha Moparthi
Dr. Abdul Kader Jailani Amirudeen
Guest Editors
Manuscript Submission Information
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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
- plant pathogens
- management
- diagnostic
- field-based detection
- plant bacteria
- plant fungal
- plant viruses
- advanced molecular detection
- isothermal
- insects
- high-throughput sequencing
- CRISPR-based diagnosis phytoplasma
- serological detection
- viroids
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