在澳大利亚的豆育种计划中,针对目标特征的基因组选择
Alem Gebremedhin1, Yongjun Li1, Arun S K Shunmugam2
1Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
Frontiers in plant science
|January 18, 2024
概括
基因组选择 (GS) 通过早期准确预测理想的特征,加速了的繁殖. 这种方法增强了遗传收益,导致更高产量和更好的抗压力,更快地开发出更好的豆品种.
科学领域:
- 植物育种 植物育种
- 遗传学 遗传学 是一个
- 农业科学 农业科学
背景情况:
- 基因组选择 (GS) 利用标记物-表型关联来预测繁殖值.
- 高通量基因型定制使得GS在植物育种中的实施成为可能,包括豆类等小作物.
- GS减少了生成间隔,增加了每单位时间的遗传收益.
研究的目的:
- 为了评估GS在豆育种计划中的有效性.
- 为了比较GS的预测准确性与传统的BLUP-based选择.
- 评估GS在中加速遗传增益的潜力.
主要方法:
- 基因组预测模型是使用64,781个全基因组SNP和贝叶斯方法开发的.
- 基因组估计育种值 (GEBVs) 计算了2081种豆育种系.
- 前期交叉验证用于评估包括产量,抗病能力和种子质量在内的特征的预测准确性.
主要成果:
- 预测GEBV的准确性 (0.34-0.83) 比BLUP的EBV (0.22-0.54) 高.
- 早期世代的GS引领的亲子选择在后一代的BLUP中产生了比BLUP更大的遗传收益.
- 针对目标特征的狭义遗传率在0.24到0.66.6之间.
结论:
- 在豆育种中实施GS显著提高了遗传收益的速度.
- GS促进了高产的更快发展,提高了承受压力和种子质量.
- 在小作物中,GS是加速品种发展的强大工具.
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