1. Artificial intelligence in plant breeding.
- Author
-
Farooq, Muhammad Amjad, Gao, Shang, Hassan, Muhammad Adeel, Huang, Zhangping, Rasheed, Awais, Hearne, Sarah, Prasanna, Boddupalli, Li, Xinhai, and Li, Huihui
- Subjects
- *
MOLECULAR biology , *SUSTAINABLE agriculture , *PATTERN recognition systems , *PLANT breeding , *ARTIFICIAL intelligence - Abstract
Rapid advances in genomics, phenomics, and molecular biology are accelerating crop breeding into the era of artificial intelligence (AI). Addressing the formidable challenge of managing the 'data deluge' is crucial for transitioning from disparate datasets to an integrated data infrastructure in AI-enabled plant breeding. Although AI has revolutionized various aspects of crop breeding, such as phenomics, variant calling models, gene discovery, genomic selection, and gene editing, there is a pressing need to synergize these components into an integrated breeding technology for future crop development. Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data analysis and pattern recognition, and is revolutionizing numerous scientific domains including plant breeding. We explore the wider potential of AI tools in various facets of breeding, including data collection, unlocking genetic diversity within genebanks, and bridging the genotype–phenotype gap to facilitate crop breeding. This will enable the development of crop cultivars tailored to the projected future environments. Moreover, AI tools also hold promise for refining crop traits by improving the precision of gene-editing systems and predicting the potential effects of gene variants on plant phenotypes. Leveraging AI-enabled precision breeding can augment the efficiency of breeding programs and holds promise for optimizing cropping systems at the grassroots level. This entails identifying optimal inter-cropping and crop-rotation models to enhance agricultural sustainability and productivity in the field. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF