Revolutionizing Crop Breeding: Next-Generation Artificial Intelligence and Big Data-Driven Intelligent Design

作者：Ying Zhang, Guanmin Huang, Yanxin Zhao, Xianju Lu, Yanru Wang, Chuanyu Wang, Xinyu Guo, Chunjiang Zhao · 发表于：Engineering · 年份：2024 · DOI：10.1016/j.eng.2024.11.034 · 被引用次数：39 · 研究领域：Smart Agriculture and AI、Genetic Mapping and Diversity in Plants and Animals

The security of the seed industry is crucial for ensuring national food security. Currently, developed countries in Europe and America, along with international seed industry giants, have entered the Breeding 4.0 era. This era integrates biotechnology, artificial intelligence (AI), and big data information technology. In contrast, China is still in a transition period between stages 2.0 and 3.0, which primarily relies on conventional selection and molecular breeding. In the context of increasingly complex international situations, accurately identifying core issues in China’s seed industry innovation and seizing the frontier of international seed technology are strategically important. These efforts are essential for ensuring food security and revitalizing the seed industry. This paper systematically analyzes the characteristics of crop breeding data from artificial selection to intelligent design breeding. It explores the applications and development trends of AI and big data in modern crop breeding from several key perspectives. These include high-throughput phenotype acquisition and analysis, multiomics big data database and management system construction, AI-based multiomics integrated analysis, and the development of intelligent breeding software tools based on biological big data and AI technology. Based on an in-depth analysis of the current status and challenges of China’s seed industry technology development, we propose strategic goals and key tasks for China’s new g...