| 注册
首页|期刊导航|华南农业大学学报|AI赋能杂粮智慧育种:现状、前沿与展望

AI赋能杂粮智慧育种:现状、前沿与展望

李旭凯 李亚军 唐娇艳 孔照胜

华南农业大学学报2026,Vol.47Issue(5):769-778,10.
✕
华南农业大学学报2026,Vol.47Issue(5):769-778,10.DOI:10.7671/j.issn.1001-411X.202605014

AI赋能杂粮智慧育种:现状、前沿与展望

AI-driven smart breeding of coarse grain crops:Current status,frontiers and perspectives

李旭凯 1李亚军 1唐娇艳 1孔照胜1

作者信息

  • 1. 山西农业大学 山西省后稷实验室,山西 太原 030031
  • 折叠

摘要

Abstract

Global food security is confronted with mounting pressures arising from continuous population growth,intensifying climate change,and increasing agro-ecological vulnerability.Coarse grain crops,characterized by strong tolerance to drought and poor soil conditions,serve as strategic reserve crops with high nutritional value in the development of diversified food systems.Nevertheless,insufficient research investment and underdeveloped breeding infrastructure have led to the long-term marginalization of many coarse-grain crop resources.Smart breeding,through the integration of biotechnology and artificial intelligence(AI),opens new pathways for breaking through the bottlenecks in coarse grain crops breeding.This review systematically outlined the evolution of smart breeding technologies and discussed the applications of biological big data and AI in the digitization of coarse-grain crop germplasm resources,high-throughput phenomics,genotype-phenotype association analysis,and intelligent decision-making systems.We synthesized representative smart breeding cases in oats,foxtail millet,buckwheat,quinoa,and other coarse grain crops,explored pathways for the industrialization of coarse-grain breeding,and identified persistent challenges—specifically,the shortfall in fundamental research,institutional frictions in the breeding innovation system,and structural constraints in human resources and funding mechanisms and proposed corresponding countermeasures.Finally,we provided an outlook on frontier directions including de novo domestication,genomic design breeding,and digital twins breeding.

关键词

杂粮/智慧育种/人工智能/表型组学/种质资源/生物大数据

Key words

Coarse-grain crops/Smart breeding/Artificial intelligence(AI)/Phenomics/Germplasm resource/Biological big data

分类

农业科技

引用本文复制引用

李旭凯,李亚军,唐娇艳,孔照胜..AI赋能杂粮智慧育种:现状、前沿与展望[J].华南农业大学学报,2026,47(5):769-778,10.

基金项目

山西省基础研究计划面上项目(202303021221097) (202303021221097)

山西省2024年度"三晋英才"计划科技创新青年拔尖人才项目(SJYC2024255) (SJYC2024255)

华南农业大学学报

1001-411X

访问量0
|
下载量0
段落导航相关论文