Synergistic Empowerment of "BT + IT + AI" for Maize Breeding and Heterosis Utilization

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Key Points

The study aims to evaluate the integration of biotechnology, information technology, and artificial intelligence in enhancing maize breeding efficiency and heterosis utilization.
Systematic review of recent advances in maize breeding technologies over the past five years
Analysis of key functional genes related to yield, stress resistance, and quality traits
Development of innovative breeding tools like GEAR and AutoGP for precise decision-making in breeding
Significant acceleration in the identification and functional analysis of key agronomic traits using integrated technologies
Improved predictive accuracy and data-driven decision-making in maize breeding shown through AI algorithms
Identification of new pathways for precise heterosis design in maize based on collaborative technological frameworks.

Explores maize breeding advancements using BT, IT, and AI, suggesting significant improvements.

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Wu et al. (2026) studied this question.

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