基因组推断交叉选择方法用于在循环选择育种计划中的多特征改进
Sikiru Adeniyi Atanda1, Nonoy Bandillo2
1Agricultural Data Analytics Unit, North Dakota State University, Fargo, ND, 58105-6050, USA. sikiru.atanda@ndsu.edu.
Plant methods
|September 1, 2024
概括
基因组选择可以减少遗传变异,但新的索引选择方法平衡了遗传收益和变异. 这种方法优化了交叉,以提高后代的表现,并在育种计划中保持基因多样性.
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.
- 基因组选择 基因组选择
背景情况:
- 基因组选择提供了快速的遗传改进,但风险是长期增加的遗传变异减少.
- 为了实现可持续的育种计划,平衡短期遗传收益与长期遗传变异至关重要.
研究的目的:
- 在基因组推断交叉选择 (GCS) 框架内开发一个综合索引选择方法.
- 为了最大限度地提高跨多个特征的遗传收益,同时保持附加的遗传变异.
主要方法:
- 在40年内利用了一个随机模拟的反复繁殖计划.
- 评估了不同的GCS方法,包括后端平均差异,有用性标准等.
- 评估了父母,交叉和后代数量对遗传收益的影响.
主要成果:
- 与其他方法相比,后端平均差异方法始终增强了遗传收益.
- 确定了最大限度地提高后代表现并保持遗传变异的最佳交叉.
- 提供了优化父母,交叉和后代数量的战略,以获得最大的短期和长期收益.
结论:
- 在GCS中集成的索引选择有效地平衡了遗传收益和变异.
- 后平均差异是一种优越的方法,用于增强在育种计划中的遗传收益.
- 优化育种计划参数是最大化短期和长期遗传收益的关键.
关键词:
繁殖周期的繁殖周期遗传漂移是一种遗传漂移.遗传上的收益 遗传上的收益基因组估计的繁殖价值.基因组预测 基因组预测最优的平分体值是什么?定量性质的核酸特征 核酸选择指数的选择指数.随机模拟 随机模拟 随机模拟实用性标准的使用性标准.更多相关视频
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