Esteemed Professor Matthew Reynolds, Head of Wheat Physiology at CIMMYT, will deliver a pivotal plenary at the International Wheat Congress, centering on enhancing abiotic stress tolerance in wheat through the integration of complex traits by combining cutting-edge artificial intelligence with genetic diversity. This significant session promises to contribute valuable insights towards addressing the pressing global challenge of food security.
Pioneering Research to Future-Proof Wheat
Crop yield depends on a myriad of traits that interact across various dimensions such as growth stage, plant architecture, and growing environment. Until now, the complexity of these interactions has impeded precision breeding for traits like abiotic stress tolerance, input use efficiency, and yield potential. However, recent advancements in AI, remote sensing, and gene sequencing are making more deterministic breeding feasible.
In his presentation, Professor Reynolds will introduce a series of wiring diagrams representing trait interactions over time for wheat. These diagrams, based on empirical data and crop models, will serve as a framework for AI-assisted simulations to explore different breeding strategies. This innovative approach enables the genetic control of complex traits, allowing for more resilient wheat varieties that can withstand environmental stresses.