Machine Learning for Genetic Data Analysis and Precision Crop Breeding
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 15 July 2026 | Viewed by 16
Special Issue Editors
Interests: machine learning algorithms; genomic data; precision breeding; genomic selection
Interests: machine learning algorithms; genomic data; precision breeding; genomic selection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid development of machine learning (ML) has opened new perspectives in the analysis of genetic data and its application to crop breeding. Recent advances in high-throughput genotyping, phenotyping, and environmental data collection have generated vast datasets that require intelligent computational methods to unlock their full potential. Machine learning offers powerful tools to revolutionize the way researchers handle large-scale genomic, phenotypic, and environmental datasets, enabling the identification of complex trait–gene associations, the prediction of crop performance under variable conditions, and the design of improved breeding strategies
This Special Issue aims to collect cutting-edge research and comprehensive reviews that explore novel machine learning methodologies, genomic prediction models, multi-omics integration, image-based phenotyping, and other ML-driven approaches for genetic data analysis and precision breeding. We warmly invite researchers and scholars to contribute by submitting their original research articles or reviews in this dynamic and interdisciplinary field.
Dr. Maldonado Carlos
Dr. Freddy Mora-Poblete
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. Agronomy 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
- machine learning algorithms
- genomic data
- precision breeding
- genomic selection
- deep learning
- multi-omics integration
- crop improvement
- genomic, phenomic, and environmental data integration
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