Interdisciplinary strategies to enable data-driven plant breeding in a changing climate

• DOI: 10.1016/j.oneear.2021.02.005
• Publication Date: 2021-03-20T12:14:33Z
• Authors: Aaron Kusmec; Zihao Zheng; Sotirios Archonto...; Baskar Ganapathys...; Guiping Hu; Lizhi Wang; Jianming Yu; Patrick S. Schnable
• Keywords: 2. Zero hunger; 0303 health sciences; 03 medical and health sciences; Sustainability; Food Security; 13. Climate action; Agriculture; Plant Breeding and Genetics; 15. Life on land; 630

This perspective lays out a framework to enable the breeding of crops that can meet worldwide demand under challenges global climate change. Past work in various fields has produced multiple prediction methods contribute different plant objectives. Our proposed focuses on integration these into decision-support tools quantify effects objectives decisions made throughout pipeline. We discuss complementarities among with an emphasis utilize operations research and systems approaches help breeders rapidly optimally design new cultivars extant time, cost, environmental constraints. In illustrating this potential, we demonstrate interconnectedness probabilistic nature highlight opportunities refine combine knowledge across disciplines. Such more efficiently breed for future environments, including so-called minor crops, leading overall increase resiliency food production systems.