Location: Wheat Health, Genetics, and Quality Research
Title: Chapter one - the role of artificial intelligence in crop improvementAuthor
NEGUS, KARLENE - Iowa State University | |
Li, Xianran | |
WELCH, STEPHEN - Kansas State University | |
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. https://doi.org/10.1016/bs.agron.2023.11.001. DOI: https://doi.org/10.1016/bs.agron.2023.11.001 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. |