Statistical Advances in Molecular Plant Breeding
A special issue of Agronomy (ISSN 2073-4395).
Deadline for manuscript submissions: 30 November 2025 | Viewed by 30
Special Issue Editors
2. Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Nicosia 2417, Cyprus
Interests: applied statistics; biostatistics; machine learning; generalized linear models
Special Issues, Collections and Topics in MDPI journals
Interests: genetic resources; omics; breeding yield; tree breeding; novel methods in breeding
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to highlight cutting-edge statistical methodologies and their applications in the field of molecular plant breeding. As plant breeding increasingly incorporates molecular data, advanced statistical tools are essential for making sense of the vast and complex datasets generated through techniques such as genomics, transcriptomics, and phenomics. We welcome submissions that demonstrate novel statistical methods, related (but not limited) to genome-wide association studies (GWAS), genomic selection, machine learning algorithms, causal discovery, and high-dimensional data analysis. Papers that explore innovative approaches for integrating multi-omics data, modeling genotype–environment interactions, and improving the accuracy and efficiency of breeding programs are of particular interest. Additionally, contributions that focus on the practical application of these statistical advances in real-world breeding scenarios are highly encouraged. This Special Issue seeks to bring together statisticians, plant breeders, and molecular biologists to foster interdisciplinary collaboration and to promote advancements that will drive the next generation of plant breeding technologies. We invite both original research articles and comprehensive reviews that provide insights into recent developments and future directions in this rapidly evolving field.
Dr. Theodoros Moysiadis
Dr. Ioannis Ganopoulos
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
- statistical modeling
- statistical tools
- molecular plant breeding
- high-dimensional data
- multi-omics data integration
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Related Special Issue
- Statistical Advances and Modeling in Agriculture in Agronomy (2 articles)
