简单配对:R包用于预测和优化使用基因组选择的繁殖交叉
Marco Antônio Peixoto1,2, Rodrigo Rampazo Amadeu3,4, Leonardo Lopes Bhering1
1Laboratório de Biometria, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
The plant genome
|November 27, 2024
概括
一个新的R包,SimpleMating,优化繁殖交叉来最大限度地提高遗传收益并保持多样性. 这种计算工具有助于植物育种者设计交叉,以实现长期的遗传改进和强壮的种群.
科学领域:
- 植物育种 植物育种
- 计算生物学是一种计算生物学.
- 定量遗传学 是一个量子遗传学.
背景情况:
- 父母和交叉选择对于成功的育种计划至关重要.
- 设计最大限度地提高遗传收益的交叉,同时保持人口多样性,对于长期的育种应用是必不可少的.
研究的目的:
- 介绍SimpleMating,一个新的,灵活的,开源的R包用于繁殖程序中的计算性伴侣分配.
- 为预测和优化跨多种繁殖系统和设计的繁殖交叉提供一个工具.
主要方法:
- 简单配对估计交叉性能使用标准,如中期父母价值和总遗传价值.
- 一个优化算法最大限度地提高了目标标准,同时最大限度地减少了下一代的近亲繁殖.
- 用户可以指定交叉号码,父限制和最大相关性,以生成灵活的交配计划.
主要成果:
- 简单配对生成基于单个或多个特征标准的配对计划.
- 在模拟玉米育种计划中的测试表明了大量的遗传收益 (高达比传统基因组选择多22%).
- 该工具还显示,与传统方法相比,随着时间的推移,遗传多样性的损失减少了.
结论:
- 简单配对是培育计划中数据驱动决策的一个有价值的工具.
- 该方案有效地提高了植物育种应用中的遗传收益,并保持了植物育种应用中的遗传多样性.
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