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作物全基因组选择育种技术研究进展

王欣 徐一亿 徐扬 徐辰武

生物技术通报2024,Vol.40Issue(3):1-13,13.
生物技术通报2024,Vol.40Issue(3):1-13,13.DOI:10.13560/j.cnki.biotech.bull.1985.2023-1079

作物全基因组选择育种技术研究进展

Research Progress in Genomic Selection Breeding Technology for Crops

王欣 1徐一亿 2徐扬 2徐辰武2

作者信息

  • 1. 扬州大学农学院,扬州 225009||扬州大学信息工程学院,扬州 225009
  • 2. 扬州大学农学院,扬州 225009
  • 折叠

摘要

Abstract

Genome selection(GS)breeding builds a genetic model based on the association between genotypes of molecular markers on the whole genome and phenotypes of the training population,and then estimates the breeding values or predicts the phenotypes of the candidate population with known genotypes,so as to achieve efficient and accurate selection of the population for breeding.Compared with the commonly used molecular marker-assisted selection breeding,GS breeding does not require marker significance testing,and is particularly suitable for quantitative traits controlled by minor polygenes.It can shorten breeding cycle and reduce breeding cost,and has become a cutting-edge technology in the field of animal and plant breeding.However,for quantitative traits such as crop yield that are greatly affected by environment,it is still bottleneck issue to improve the accuracy of genomic prediction.This article first analyzes the main factors that affect the efficacy of GS in crop breeding,and then elaborates on the research progress of GS technology in crop breeding from the aspects of models with non-additive effects,population construction schemes,multi-trait and multi-environment prediction,multi-omic prediction and the current status of breeding chip technology.Then the article points out the issues and development prospects of the research,and provides the strategies and ideas for further research on crop GS breeding technology.

关键词

作物/全基因组选择/全基因组预测模型/育种

Key words

crop/genomic selection/genomic prediction model/breeding

引用本文复制引用

王欣,徐一亿,徐扬,徐辰武..作物全基因组选择育种技术研究进展[J].生物技术通报,2024,40(3):1-13,13.

基金项目

国家重点研发计划项目(2022YFD1201804),江苏省种业振兴揭榜挂帅项目(JBGS[2021]009),江苏省重点研发计划项目(BE2022343) (2022YFD1201804)

生物技术通报

OA北大核心CSTPCD

1002-5464

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