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The aim is to explore advancements in breeding methods using AI and data integration technologies for wheat.

April 10, 2026Plant CommunicationsOpen Access

Beyond the Data: Artificial Intelligence, Knowledge Graphs, and the Next Revolution in Wheat Breeding

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This review shows how AI and knowledge graphs improve wheat breeding outcomes, suggesting new strategies for food security.

The aim is to explore advancements in breeding methods using AI and data integration technologies for wheat.
Review of current literature on wheat breeding innovations.
Assessment of high-throughput genotyping and multidimensional phenotyping techniques.
Evaluation of AI and machine learning applications in genomic selection and decision-making.
Highlights the importance of large-scale datasets for wheat breeding.
Identifies knowledge graphs as key tools for data integration.
Demonstrates AI's role in predictive modeling and refining breeding strategies.

Xie et al. (2026) studied this question.

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