Genotype × Environment Interactions in Legume and Fiber Crop Breeding
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 82
Special Issue Editor
Interests: plant breeding; genotype × environment interaction; alfalfa; cotton; corn; wheat; lentil; faba beans; chickpeas
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Historically, the "genotype-to-market gap" has hindered the translation of high-potential genetic gains into stable, commercially viable cultivars. As global agriculture faces the dual pressure of increasing productivity while adapting to volatile climatic conditions, the primary bottleneck remains as the complexity of interpreting performance across diverse environments. Traditional breeding has evolved into a data-driven science where understanding the nuances of these interactions is critical for commercial success.
This Special Issue aims to highlight the multidisciplinary strategies and rigorous statistical analysis required to move elite germplasm from research plots to the commercial market. We focus on bridging the gap between discovery and industrial utility, ensuring that new cultivars are not only genetically superior but also agronomically robust and economically viable for stakeholders throughout the value chain.
Innovation in this field currently centers on optimizing genotype × environment × genotype/management interactions through advanced stability analysis and multivariate statistical models. Cutting-edge research integrates high-throughput phenotyping within commercial pipelines to decode complex traits and improve post-harvest quality, ensuring yield consistency in the face of abiotic stress.
We invite original research articles, comprehensive reviews and case studies addressing the critical intersection of plant breeding, agronomy and advanced statistical modeling. This Special Issue particularly encourages submissions focusing on fiber crops—such as cotton, flax, hemp and kenaf (addressing fiber quality and yield)— legumes, including alfalfa, faba beans, lentils and chickpeas, and others. We seek contributions that utilize rigorous statistical analysis to emphasize yield stability, seed scalability and industrial processing traits, with a focus on bridging the gap between experimental breeding and commercial scalability.
Dr. Dimitrios Baxevanos
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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 semimonthly 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
- commercial cultivar development
- fiber crop breeding
- genotype × environment (G×E) interaction
- genotype × management (G×M) interaction
- legume breeding
- multivariate statistical models
- plant breeding
- stability analysis
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