Innovative Approaches for Agri-Diagnostics Support Varietal Development and Crop Management
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 (31 December 2020) | Viewed by 3439
Special Issue Editors
Interests: high throughput tools; phenotyping; phenomics; plant Breeding; agri-diagnostics; QTL and association studies; crop monitoring
Interests: diagnostics; plant disease; virology; sequencing; PCR; LAMP
Special Issue Information
Dear Colleagues,
Timely and accurate identification and forecasting can lead to early control of diseases, thereby avoiding devastating losses of crops. Traditional farming systems assume that parameters in crops are homogeneous, resulting in practices such as blanket spraying, which does not consider the existing disease management situation. This is influenced through visual identification, mainly when the disease is identified after development of symptoms. Recent advancements in precision tools in agriculture help recognise the spatial and temporal variability within management systems. By combining monitoring and decision support systems (DSS), they allow specific varietal use and management of crops. Similarly, these sensing tools and accompanied modelling approaches are also helping in high throughput phenotyping for generating varieties for disease resistance. Thus, close attention to agri-diagnostics can aid in decision making for management strategies from multiple angles. Disease identification and new breeding tools which help in linking genetics and breeding varieties can aid in alterations to crop varieties grown on the farm; a resistant variety to an ever-present disease and this combined approach will understandably minimise outbreaks. In this Special Issue, we aim to bring together different disciplines focused on precision disease management and the contrasting ends of the high throughput phenotyping pipeline for understanding genetic disease control. The contributions should cover the following aspects of the disease assessment and sensing pipeline and their influence on breeding methodologies and varietal development:
- Agri-diagnosis techniques for early diagnosis and detection of disease
- Disease monitoring systems and disease phenotyping systems
- Tools and techniques for disease phenotyping and monitoring at canopy, field, farm, and regional scales
- Molecular and high throughput imaging tools and approaches for disease quantification
- Linking high throughput disease phenotyping with genetics and genotyping for disease resistant crop production
- Precision support systems to help farmers make better decisions concerning crop disease management
- Crop modelling approaches linked with disease evaluation, future warnings, and decision support systems.
Dr. Ankush Prashar
Prof. Neil Boonham
Dr. Lindsey Jane Compton
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
- Agri-diagnostics
- High throughput phenotyping
- Genomics
- Precision Agriculture
- Disease monitoring
- Linkage analysis
- Phenomics
- Imaging tools and resources
- Decision support systems
- Molecular tools
