Innovations in Assessing G×E×M Interactions: Advancing Agronomy and Modeling Strategies for Sustainable Crop Production

Dear Colleagues,

The Food and Agriculture Organization (FAO) of the United Nations has stressed the need to enhance crop productivity and quality using sustainable and integrative scientific approaches. Climate change and Genotype (G)-by-Environment and (E)-by-Management (M) interactions all challenge our efforts to achieve improvement in crop productivity and climate resilience. Understanding the complex relationship of G×E×M to foster sustainable crop production, improved soil health and environmental resilience is a critical challenge in modern agriculture.

This Special Issue on “Innovations in Assessing G×E×M Interactions: Advancing Agronomy and Modeling Strategies for Sustainable Crop Production” seeks to unravel the interplay of G×E×M interactions, mainly focusing on advancements in agronomic innovations and modeling techniques, including advanced artificial intelligence (AI) approaches. This Special Issue aims to bridge the gap between theory and practical applications by exploring the adaptability of distinct crop types to a range of environments, investigating the dynamics of climate change on crop responses, and optimizing crop production practices for sustainability. By delving into cutting-edge research on innovative agronomic approaches, predictive modeling tactics and precision techniques, this Special Issue endeavors to equip researchers, farmers, policymakers, and other stakeholders with valuable insights to navigate and tackle G×E×M interactions effectively, ultimately paving the way towards climate-resilient and sustainable crop production systems.

We invite you to submit original research articles and reviews focusing on innovative agronomic approaches; best management practices; crop, soil and climate models; techniques for coupling experimental studies with modeling; computational approaches such as machine learning and deep learning; AI-assisted tools; and innovative statistical methods to capture the recent advancements in tackling G×E×M interactions for sustainability.

Invitations are open but not limited to the following topics:

• Investigating the relationships between Genotype (G), Environment (E) and management (M) in crop production.
• Process-based crop modeling techniques and decision support systems (DSS).
• Data-driven machine learning techniques and AI models.
• Physics-guided machine learning in agro-ecosystems.
• Advanced quantification of SOC and GHG emissions for climate-smart agricultural practices.
• Innovative agronomic and best management strategies.
• Remote sensing, image processing and GIS.
• Climate variability and climate-smart agriculture adaptation options for climate resilience.
• Precision agriculture techniques for crop management, including seeding, irrigation and fertilization.
• Mixed and intercropping systems: selective management and harvesting.
• Soil–plant–water interactions.
• Nutrient dynamics, availability, leaching and contamination.
• Soil–water and nutrient balance: soil health.
• Variable rate technology, site-specific irrigation and nutrient management.
• Genotypic diversity and adaptability: innovative approaches for varietal performance evaluation.

Dr. Tajamul Hussain
Dr. Ruijun Qin
Dr. Johnny Li
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.

• climate-smart agriculture
• agronomy
• G×E×M interactions
• nutrient utilization and losses
• modeling strategies
• precision agriculture
• machine learning
• resource optimization
• decision support
• environmental resilience