将空间和遗传竞争纳入与R包基因组合的育种管道.
Saulo F S Chaves1,2, Filipe M Ferreira3, Getulio C Ferreira4
1Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Heredity
|January 17, 2025
概括
遗传竞争可能会扭曲育种结果. 新的R包,gencomp,简化了直接 (DGE) 和间接遗传影响 (IGE) 的建模,以提高植物和树木育种选择的准确性.
科学领域:
- 定量遗传学 是一个量子遗传学.
- 植物育种 植物育种
- 林业林业 林业 林业 林业
背景情况:
- 遗传竞争可能会影响基因型排名和遗传收益准确度.
- 在育种模型中分离直接 (DGE) 和间接遗传影响 (IGE) 是复杂的,经常被忽视.
研究的目的:
- 介绍gencomp,一个简化 (空间) 遗传竞争建模的R包.
- 促进DGE和IGE在育种计划中的分离.
- 改善作物和树木育种的决策.
主要方法:
- 开发了gencomp R包,用于构建遗传竞争矩阵.
- 实施差异组件方法来适应 (空间) 遗传竞争模型.
- 包括用于提取变异组件,遗传性和遗传价值的功能.
主要成果:
- 用模拟的树和真实的土豆数据集证明了 gencomp 的实用性.
- 展示了遗传竞争对变异成分,遗传性和选择的影响.
- 突出了gencomp在评估树木育种中克隆混合物的价值方面的能力.
结论:
- gencomp为实施先进的遗传竞争模型提供了一个用户友好的工具.
- 该套件通过考虑间接的遗传影响,有助于更准确的遗传评估.
- 在繁殖计划中,gencomp可以提高选择精度和遗传收益.
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