Genes, Volume 14, Issue 4
2023 April - 179 articles
Cover Story: As the global population soars, plant breeders turn to advanced tech like Omics and AI to accelerate crop improvement. This review explores how big data and ML revolutionize plant breeding, providing efficient tools for developing superior varieties. By generating vast amounts of complex data using Omics, breeders employ ML to analyze and manipulate key traits to improve crop performance. We delve into the functions of commonly used ML algorithms, showcasing their role in optimizing the breeding process. Challenges of integrating diverse datasets are addressed with common data integration ML-based strategies. Future prospects of ML in breeding are highlighted, paving the way for innovative approaches to tackle climate change-related agricultural challenges. Overall, AI and big data have profound impacts on breeding, accelerating variety development and enhancing global food security. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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