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Modelos de cultivos: integración de sistemas desde lo molecular hasta lo global para la productividad y

Ximin Piao¹, Megan L Matthews¹

¹Department of Civil and Environmental Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, United States; DOE Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois Urbana-Champaign, United States; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, United States.

Current opinion in biotechnology

|January 21, 2026

Abstract:

Mathematical models that simulate crop growth in response to environmental conditions and management practices are essential tools for exploring agriculture-based strategies to address food security and environmental sustainability challenges. Early applications of crop models focused on supporting farmers in making management decisions. Applications have since expanded to estimating future impacts on local and global food production from changing climates. Emerging applications of crop models aim to leverage how these models integrate plant processes across biological scales to identify engineering or breeding strategies that account for environmentally-responsive dynamics at field scales and for exploring solutions to improve sustainability. In this review, we highlight recent studies across these four broad application areas and highlight potential future directions for the crop modeling field.

Palabras clave:

modelado de cultivos seguridad alimentaria sostenibilidad agrícola gestión agrícola cambio climático mejoramiento de cultivos agricultura de precisión modelado de sistemas productividad agrícola resiliencia climática

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