利用基因组预测来提高甜玉米育种计划中的杂交性能
Marco Antônio Peixoto1,2, Kristen A Leach2, Diego Jarquin3
1Laboratório de Biometria, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Frontiers in plant science
|May 10, 2024
概括
基因组选择准确地预测了甜玉米杂交的性能,提高了育种效率. 建议使用GBLUP模型,因为它在预测精英品种的混合交叉中具有卓越的准确性.
科学领域:
- 植物育种 植物育种
- 定量遗传学 是一种定量遗传学.
- 基因组学就是基因组学.
背景情况:
- 甜玉米的育种依赖于为商业杂交品种开发精英的同系品种.
- 基因组选择 (GS) 提供了混合性能的形预测,潜在地增强了育种计划.
研究的目的:
- 评估基因组选择在甜玉米中用于混合预测的有效性.
- 为了比较不同的基因组预测模型和交叉验证方案.
主要方法:
- 在两年内,在六个环境中评估了506种混合物.
- 评估了20种植物,耳朵和味道特征.
- 通过使用三种交叉验证方案,比较GBLUP和RKHS模型,在单个和多个特征框架中使用添加式和添加式+主导性内核.
主要成果:
- 基因组预测模型展示了良好的特征预测准确度.
- 在所有测试的方案中,GBLUP的表现始终优于RKHS.
- 在一些模型中,增材加优势内核显示出比增材内核的边际改进.
- 内部跨年和跨站点模型在CV0方案中表现更好,而不是CV00.
结论:
- 基因组选择,特别是使用GBLUP模型,是甜玉米杂交预测的可靠工具.
- 实施GS可以优化测试交叉阶段,识别高级测试的优质杂交物并增加遗传收益.
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