通过在草中进行预测性育种,加速对垂的定量耐药性的遗传收益
Mitchell J Feldmann1, Dominique D A Pincot1, Mishi V Vachev1
1Department of Plant Sciences, University of California Davis, Davis, California, USA.
The plant genome
|November 14, 2023
概括
开发能够抵抗Verticillium wilt (VW) 的草品种至关重要. 基因组选择在预测耐药性方面表现有前途,为可持续的草生产提供了有效的育种策略.
科学领域:
- 植物病理学 植物病理学
- 遗传学 是一个遗传学.
- 农业科学 农业科学
背景情况:
- (VW) 是一种主要疾病,影响全球草 (Fragaria *ananassa *) 产量.
- 现有的草生殖质对Verticillium dahliae具有有限的抵抗力,阻碍了繁殖的进展.
- 60年来,对VW耐药性的微不足道的遗传收益凸显了对先进育种方法的需求.
研究的目的:
- 评估基因组选择的可行性,以提高草对Verticillium枯的定量抵抗力.
- 为基因组预测模型开发和表型化一个多样化的培训人群.
- 为了评估基因组预测对Verticillium枯耐药性的准确性.
主要方法:
- 现型化了草杂交的培训群体 (*n* = 1,000) 具有不同的抵抗水平.
- 与现有的精英和异国混杂种群 (*n* = 1,000) 结合的数据.
- 利用基因组预测模型来估计Verticillium枯耐药性的繁殖值.
主要成果:
- 获得了0.47-0.48.8的基因组预测准确度.
- 预测模型解释了70%-75%的耐药性添加基因变异.
- 为有效的基因组选择证明了足够的准确性.
结论:
- 基因组选择是一种可行的工具,可以在草育种计划中增强Verticillium枯耐药性.
- 训练人群的常规更新将保持和提高预测准确性.
- 这种方法通过提高抗病能力来支持可持续的草生产.
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