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玉米穗粗一般配合力多位点全基因组关联分析和基因组预测

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穗粗是一个重要的穗部性状,一般配合力(GCA)是杂交育种中衡量亲本组配能力的一个重要指标.以NCII遗传交配设计组配的537个F1杂交组合为材料,利用7种多位点全基因组关联分析方法(MGWAS)对河南新乡、周口和综合环境穗粗GCA开展定位分析,并研究MGWAS方法挖掘的显著关联位点作为固定效应对穗粗GCA预测准确性的影响,为穗粗GCA关键位点的基因组选择(GS)育种利用提供指导.结果表明,共检测到18个穗粗GCA显著关联SNP(P<8.52E-07),其中6个位点利用2~5种MGWAS方法同时检测到,3个位点在2个环境中均检测到.5种GS随机效应模型对3个环境穗粗GCA预测准确性均较低,为0.32-0.44.3个环境中,显著位点作为固定效应加入预测模型中均能有效地提高穗粗GCA基因组预测能力,可将预测精度提高到 0.38~0.64.
Multi-Locus Genome-Wide Association Study and Genomic Prediction for General Combining Ability of Maize Ear Diameter
Ear diameter is an important trait for ear in maize,and general combining ability(GCA)is an important index to evaluate parental mating ability in hybrid breeding.A total of 537 F1 hybrid combinations derived from NCII genetic mating design were used as materials.Seven multi-locus genome-wide association study(MGWAS)methods were used to conduct mapping analysis of ear diameter GCA in Xinxiang,Zhoukou,and combined environment,and the effects of different significant loci from MGWAS methods as fixed effects on the prediction accuracy of ear diameter GCA were studied,which will provide a guidance for the breeding utilization of genomic selection(GS)for key loci of ear diameter GCA.The results showed that a total of 18 significant SNPs(P<8.52E-07)were detected for the GCA effect of ear diameter,of which six loci were simultaneously detected using two to five MGWAS methods and three of them were detected in two environments.Five GS random effect models were used in the three environments,and the prediction accuracy of ear diameter GCA ranged from 0.32 to 0.44.The genomic prediction ability of GCA of ear diameter could be effectively enhanced in all three environments by adding significant loci as fixed effects into the prediction model,increasing the prediction accuracy to 0.38-0.64.

MaizeEar diameterGeneral combining abilityMulti-locus genome-wide association studyGenomic selectionFixed effect model

马娟、黄璐、宇婷、郭国俊、朱卫红、刘京宝

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河南省农业科学院粮食作物研究所,450002,河南郑州

玉米 穗粗 一般配合力 多位点全基因组关联分析 基因组选择 固定效应模型

河南省科技攻关项目河南省农业科学院优秀青年

2221021100432020YQ04

2024

作物杂志
中国作物学会 中国农科院作物科学研究所

作物杂志

CSTPCD北大核心
影响因子:0.821
ISSN:1001-7283
年,卷(期):2024.(1)
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