Genetic Diversity Assessment and Phenotypic Characterization of Crops
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Genetics, Genomics and Breeding".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 245
Special Issue Editors
Interests: nutritional quality; wheatgrass; in vitro digestion; phenotypic diversity; genetic diversity
Interests: genetics; plant breeding; molecular biology; biotechnology; plant phenotyping; cereal and oil crops
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Genetic diversity assessment involves studying the genetic variations present within a crop species, which can help to understand their potential for adaptation and resilience and identify unique traits that may be beneficial for breeding purposes. Phenotypic characterization, on the other hand, focuses on observing and measuring the physical traits of crops such as yield, disease resistance, nutritional content, etc., providing valuable information on their performance in different environments. By combining genetic diversity assessment with phenotypic characterization, researchers can better understand the relationship between genotypes and phenotypes, leading to the development of improved crop varieties. This integrated approach allows for the selection of crops with desirable traits, such as high yield, disease resistance, and nutritional quality, contributing to sustainable agriculture and food security. Both genetic diversity assessment and phenotypic characterization are crucial areas of research in crop improvement efforts, and ongoing studies in these fields aim to address the challenges of sustainable agriculture, food security, and climate change.
Topics of interest for this Special Issue include, but are not limited to, the following:
- Investigating the role of genetic diversity in crop adaptation to changing environments;
- Utilizing advanced technologies such as genomics and bioinformatics for more accurate and efficient assessment;
- Evaluating the performance of crops under different environmental conditions;
- Assessing the nutritional quality and health benefits of crop varieties;
- Studying the interactions between genotypes and phenotypes;
- Exploring the potential of precision agriculture techniques for phenotypic data collection;
- Integrating phenotypic data with genomic information for a more comprehensive understanding of crop traits.
Prof. Dr. Andrijana Rebekić
Dr. Ankica Kondić-Špika
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
- genetic diversity
- genomic analysis
- phenotypic diversity
- high-throughput phenotyping
- crop improvement
- crop adaptation
- crop resilience
- nutritional quality
- big data analysis
- bioinformatics
