Genomic Selection Accuracy for Grain Quality Traits in Biparental Wheat Populations
Genomic Selection Accuracy for Grain Quality Traits in Biparental Wheat Populations
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DOI：
10.2135/cropsci2011.05.0253
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发表时间：
2011-11-01
期刊：
影响因子：
2.3
通讯作者：
Sorrells, Mark E.
中科院分区：
文献类型：
--
作者：
Heffner, Elliot L.;Jannink, Jean-Luc;Sorrells, Mark E.
基因组选择是利用全基因组分子标记数据捕捉大小效应数量性状基因座并预测选择候选基因的遗传值的一种很有前途的植物和动物育种工具。基因组选择比传统的分子标记辅助选择(MAS)对数量性状具有更高的预测精度。本研究比较了两个双亲软质冬小麦(Triticum aestivum L.)9个不同籽粒品质性状的表型预测精度和基于标记的预测精度。人口。我们使用交叉验证方法，通过多年训练和验证预测精度来评估模型训练种群大小、训练种群复制和标记密度的效果。结果表明，对于所研究的所有性状，GS的预测精度显著高于MAS，并且GS的预测精度在低标记密度(128-256)时达到平台期。对于96、48和24个训练群体，GS准确率与表型选择准确率的平均比值分别为0.66、0.54和0.42。这些结果进一步证明，在利用全年育苗和廉价、高通量的基因分型技术进行植物育种时，GS可以产生比表型选择和常规MAS更大的单位时间和成本的遗传增益。
Genomic selection (GS) is a promising tool for plant and animal breeding that uses genome-wide molecular marker data to capture small and large effect quantitative trait loci and predict the genetic value of selection candidates. Genomic selection has been shown previously to have higher prediction accuracies than conventional marker-assisted selection (MAS) for quantitative traits. In this study, we compared phenotypic and marker-based prediction accuracy of genetic value for nine different grain quality traits within two biparental soft winter wheat (Triticum aestivum L.) populations. We used a cross-validation approach that trained and validated prediction accuracy across years to evaluate effects of model training population size, training population replication, and marker density. Results showed that prediction accuracy was significantly greater using GS versus MAS for all traits studied and that accuracy for GS reached a plateau at low marker densities (128-256). The average ratio of GS accuracy to phenotypic selection accuracy was 0.66, 0.54, and 0.42 for training population sizes of 96, 48, and 24, respectively. These results provide further empirical evidence that GS could produce greater genetic gain per unit time and cost than both phenotypic selection and conventional MAS in plant breeding with use of year-round nurseries and inexpensive, high-throughput genotyping technology.