来自小麦育种多环境试验的基因组预测
Guillermo García-Barrios1, Leonardo Crespo-Herrera2, Serafín Cruz-Izquierdo1
1Postgrado en Recursos Genéticos y Productividad-Genética, Colegio de Postgraduados, Texcoco 56264, Estado de México, Mexico.
Genes
|April 27, 2024
概括
结合添加剂和表观效应的基因组预测模型改善了小麦系繁殖价值的预测. FA + G 模型有效地捕捉了表观效应,在各种环境中提高了准确性.
科学领域:
- 农业科学 农业科学
- 遗传学 是一个遗传学.
- 植物育种 植物育种
背景情况:
- 基因组预测通常侧重于附加遗传效应.
- 非添加剂效应,如表观症,也会影响小麦的经济特征.
- 准确预测育种值对于作物改进至关重要.
研究的目的:
- 实施和比较包含基因型-环境 (G×E) 和基因型-基因型 (GG) 相互作用的基因预测模型.
- 评估模型在不同环境目标群体 (TPE) 中预测小麦系表型的性能.
- 评估添加和表观效应对预测准确性的影响.
主要方法:
- 测试了基于四个因素分析 (FA) 的模型:FA,FA + G,FA + GG和FA + G + GG.
- 模型包含了基因组和/或表观关系矩阵.
- 交叉验证在南亚的三个TPE中被采用.
主要成果:
- FA + G 和 FA + G + GG 模型表现出优越且可比的性能.
- FA + G 模型在捕捉表皮性效应方面表现出有效性.
- 根据交叉验证策略和TPE内线条的先前观察,预测准确度有所不同.
结论:
- 整合基因组和表观信息可以提高小麦的基因组预测准确性.
- FA+G模型提供了一种强大的方法来捕捉相关的遗传相互作用.
- 战略数据收集和模型选择对于优化不同环境中的基因组预测至关重要.
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