评价和预测精英群体中的干线的表现,通过异国情调的背交叉结协会绘制人口图谱
Daniel Crozier1, Noah D Winans1, Leo Hoffmann1,2
1Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USA.
Plants (Basel, Switzerland)
|April 9, 2024
概括
逆向交叉嵌套关联映射 (BC-NAM) 有效地将有价值的遗传多样性引入精英植物系. 基因组预测有效地选这些多样化的线条以获得卓越的混合性能,优化育种计划.
科学领域:
- 植物遗传学和育种.
- 在作物改良中的基因组预测.
- 农业学和作物绩效评价作物的评价.
背景情况:
- 遗传多样性对于植物育种中持续的遗传收益至关重要,但必须与农学性能保持平衡.
- 背交叉嵌套协会映射 (BC-NAM) 种群,使用精英的经常性父母,促进多样性从不适应的加入入侵.
- 保持精英表现,同时引入新的多样性是养殖者面临的关键挑战.
研究的目的:
- 为了评估从18个BC1-NAM家族中衍生出的 Sorghum 系列的杂交性能.
- 评估基因组预测在表型评估之前选BC1-NAM线对混合性能的潜力.
- 为大型BC1-NAM群体优化基因组预测模型.
主要方法:
- 开发和评估来自18个BC1-NAM家族的 Sorghum 系列.
- 混合性能试验比较BC1衍生线与精英复发父 (R.Tx436) 的BC1衍生线.
- 基因组预测模型的应用和准确性评估,用于谷物产量,植物高度和日至中期.
主要成果:
- 许多BC1衍生种系与精英经常性父系相比,表现出优越的杂交性能.
- 基因组预测显示,对谷物产量和日至中期解剖的准确性是可以接受的,但对于植物高度来说,准确性低于预期.
- 基因组预测的准确性稳定在每家2-5行,这表明大种群的效率;像谷物产量这样的复杂特征需要更大的训练集.
结论:
- BC1-NAM种群有效地侵入有益的多样性,同时保持或改善的农业性能.
- 基因组预测是一种可行和有效的工具,用于预先选BC1-NAM线路以获得理想的混合性能.
- 优化的基因组预测模型可以减少在大型育种计划中对广泛的表型评估的需求.
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