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智能育种:从高通量表型到基因组选择的整合与应用

王创新 李建琪 张颖 韩栋 房静 赵恩光 黄华 达玲玲 张继

植物学报2026,Vol.61Issue(4):625-641,17.
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植物学报2026,Vol.61Issue(4):625-641,17.DOI:10.11983/CBB25155

智能育种:从高通量表型到基因组选择的整合与应用

Smart Breeding:Integration and Application from High-throughput Phenotyping to Genome Selection

王创新 1李建琪 2张颖 2韩栋 2房静 2赵恩光 2黄华 1达玲玲 2张继1

作者信息

  • 1. 西北师范大学生命科学学院,兰州 730070||西北师范大学新农村发展研究院,兰州 730070
  • 2. 西北师范大学生命科学学院,兰州 730070
  • 折叠

摘要

Abstract

With global warming and population growth accelerating,crop breeding must advance towards greater preci-sion,efficiency and sustainability.Riding the wave of rapid AI development,AI-driven smart breeding has emerged as the cutting edge of plant breeding.Leveraging technologies such as high-throughput phenotyping through machine learning and deep learning,genome-wide association studies for genomic selection,and multiomics big data analysis,it integrates and edits genetic information while linking phenotypes with genomes.This approach promises revolutionary changes in agricultural breeding,enhancing crop productivity,improving quality,and refining traits.Looking ahead,precision agri-culture and personalised breeding represent key developmental trajectories.Strategies focusing on environmental adaptability and climate change mitigation will aid in addressing ecological challenges.The cutting-edge technologies of smart breeding,significantly enhancing breeding efficiency and precision,will shape the future direction and progress of plant breeding.

关键词

智能育种/高通量表型/机器学习/基因组选择/大数据分析

Key words

smart breeding/high-throughput phenotyping/machine learning/genome-wide selection/big data analysis

引用本文复制引用

王创新,李建琪,张颖,韩栋,房静,赵恩光,黄华,达玲玲,张继..智能育种:从高通量表型到基因组选择的整合与应用[J].植物学报,2026,61(4):625-641,17.

基金项目

甘肃省科技创新人才计划(No.25RCKA018) (No.25RCKA018)

植物学报

1674-3466

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