Abstract
Global climate change and increasingly complex agricultural environments have made enhancing crop resilience and productivity a core challenge in modern agriculture. Integrating genomic data with environmental data offers an innovative solution for crop breeding. Through big data platforms, researchers can combine crop genomic information with ecological data, such as soil, moisture, and climate, to analyze crops’ stress responses at the genetic level. This data-driven approach provides new pathways for breeding drought-tolerant, salt-resistant, and high-yield crop varieties and optimizes crop management strategies, advancing precision agriculture. This paper explores the key technologies and models for integrating genomic and environmental data, discusses relevant breeding practices, and envisions the future direction of intelligent breeding and crop management. This big data-based approach is a crucial reference for sustainable agricultural development and addressing global environmental challenges.
