农业生物智能设计育种

打开文本图片集

中图分类号：S-1 文献标志码：A 文章编号：1008-0864（2025）12-0001-13

Abstract：Global food securityfaces multiplechallenges including climate change，resource constraintsand growing demand. Traditional breeding methods，limited by long cycles，low efciencyand high resource consumption，are increasingly inadequatetomeetmodemnagriculturalrequirements.Intellgentbio-breeding，whichdeeply integratesbiotechnology（BT）， informationtechnology（IT）andatificial intellgence（AI），utilizesbigdata，intelligencealgorithms，andsmartquipment to shiftthebreedingparadigm from experience-based selection todata-drivendesign.Theadvances were mainlyanalyzed in multi-modaldataintegration，agriculturalbio-largemodels，AI-nabledgeneediting，syntheticbiotechnologyandinteligent breedingdecisionsystems，withanalysisof theirapplications incrop breeding.Itoutlined threedevelopmenttrends： platformization，model-driven appoaches andautonomy.These insights should provide valuable guidance for establishing a self-reliant and competitive intelligent breeding technology system for the future.

keywords：intelligent bio-breeding；artificial intelligence；breeding paradigm；technology tren

随着农业生物大数据的爆发式增长和新一代人工智能的迅猛发展，人工智能驱动下的基因编辑、合成生物学等生物技术（biotechnology，BT）正加速向智能化、工程化方向演进。（剩余23086字）