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Research Project: Genetic Improvement of Wheat and Barley for Environmental Resilience, Disease Resistance, and End-use Quality

Location: Wheat Health, Genetics, and Quality Research

Title: Chapter one - the role of artificial intelligence in crop improvement

item NEGUS, KARLENE - Iowa State University
item Li, Xianran
item WELCH, STEPHEN - Kansas State University
item YU, JIANMING - Iowa State University

Submitted to: Advances in Agronomy
Publication Type: Book / Chapter
Publication Acceptance Date: 1/10/2024
Publication Date: 1/10/2024
Citation: Negus, K., Li, X., Welch, S., Yu, J. 2024. The Role of Artificial Intelligence in Crop Improvement. Advances in Agronomy. 184,2024:1-66.

Interpretive Summary: .

Technical Abstract: Producing food at a rate that meets the demand of growing populations has been and will continue to be a vital issue as the world population grows. Challenges to be faced in the coming years include not only increasing yields but also doing so despite decreases in quantity and quality of agricultural land and resources while tolerating diverse and changing environmental conditions worldwide. In the transition away from traditional crop breeding systems that required labor intensive phenotyping to drive selection in repetitious breeding cycles, plant breeding has taken advantage of growing sources of -omic data including genomic, phenomic, and enviromic data, among others. In this emerging era of high throughput technologies, terabytes of data can be generated every growing season. Modern crop improvement now has the advantage and challenge of accessing largemulti-omic data sets to inform breeding and management decisions. Novel, efficient, and effective analytical methods will be needed to continue bridging the gap between observed genotypes and observed phenotypes. Artificial intelligence (AI) has the potential to provide diverse solutions to these ends.