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提高玉米杂交品种的跨种群基因组预测

Guangning Yu^1,2, Furong Li^1,2, Xin Wang^1,2

¹Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou 225009, China.

Plants (Basel, Switzerland)

|November 9, 2024

概括

基因组选择 (GS) 通过预测特征来改善作物育种. 使用人口结构的新策略提高了玉米的跨人口预测准确性,提高了育种效率.

科学领域:

植物育种和遗传学
基因组学就是基因组学.
定量遗传学是一种定量遗传学.

背景情况:

基因组选择 (GS) 使用全基因组标记物来预测表型并增强作物育种中的遗传收益.
实际的GS应用往往面临着跨基因不相似的人口预测的挑战.
开发有效的跨人口预测策略对于更广泛的GS实施至关重要.

研究的目的:

评估培训人口优化对玉米跨人口预测准确性的影响.
开发和评估一种基于人口结构的全人口基因组预测 (PSAPGP) 战略.

主要方法:

使用GBLUP和BayesB模型,利用大量的玉米培训种群 (5820个杂交种) 预测较小的繁殖种群 (523个杂交种).
优化培训人群规模和遗传关系,以评估预测准确性.
通过将人口结构 (Q-矩阵) 作为GS模型中的固定效应,通过PCA,集群和Q-矩阵分析进行评估来实现PSAPGP.

主要成果:

预测准确度在优化训练人群大小的情况下有所改善,尽管最佳大小因特征而异.
该PSAPGP策略,特别是使用Q矩阵,显著提高了跨人口预测性能.
使用PSAPGP策略观察到耳朵重量,耳朵粒重量和植物高度的预测准确度有8-11%的改善.

结论:

优化培训人群规模和遗传关系可以提高跨人群预测准确度.
拟议的PSAPGP战略提供了一个有前途的方法,可以在多种不同人群中准确地进行基因组预测.
这一策略有可能降低表型化成本,加快玉米杂交育种计划.

关键词:

在整个人口中跨越人口.基因组预测基因组预测玉米杂交品种玉米杂交品种人口结构人口结构.

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