基因架构和基因组预测的产量,冬季损伤,和消化能力的特征在蒂莫西 (Phleum pratense L.) 使用基因型测序数据
N Vargas Jurado1, H Kärkkäinen2, D Fischer2
1Natural Resources Institute Finland, Luke, 31600, Jokioinen, Finland. napoleon.vargas@luke.fi.
概括
基因组预测准确地估计了蒂莫西草的育种价值,提高了芬兰农业育种效率. 这种方法提高了诸如产量和消化能力等特征的遗传收益,即使基因型质量不同.
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.
- 农业科学 农业科学
背景情况:
- 蒂莫西 (Phleum pratense L.) 对芬兰农业至关重要.
- 基因组预测提供了高效的育种材料开发.
- 了解特征关系可以促进遗传收益.
研究的目的:
- 估计产量,冬季损伤和消化能力的方差成分.
- 评估蒂莫西草的基因组预测的准确性.
主要方法:
- 基因组残留最大可能性的变异组件.
- 基因组最佳线性无偏预测 (GBLUP) 对于繁殖值.
- 单个和多个特征模型具有不同的标记器过.
主要成果:
- 遗传概率估计的差异很大 (0.13-0.86).
- 在特征之间发现了显著的遗传相关性 (-0.72到0.59).
- 预测能力在0.18到0.62之间;基因型定型质量影响最小.
结论:
- 基因组预测对于改善芬兰的蒂莫西草是有效的.
- GBLUP提供了中度准确的繁殖值.
- 这项研究验证了基因组预测的实用性,尽管基因型变异.
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