在LSU 110年的米培育:实现遗传收益和未来的优化
Allison Vieira da Silva1,2, Adam Famoso2, Steve Linscombe2
1Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo (USP), Piracicaba, São Paulo, Brazil.
概括
先进的育种工具,如基因组选择和高通量表型化,在米育种计划中显著提高了遗传收益. 战略性资源配置对于平衡成本效益和实现未来粮食安全至关重要.
科学领域:
- 植物育种 植物育种
- 农业科学 农业科学
- 遗传学 遗传学是一种遗传学.
背景情况:
- 公共育种计划对于粮食安全至关重要.
- 优化育种策略对于可持续性至关重要.
- 米育种计划中的历史遗传收益需要评估.
研究的目的:
- 在LSU大米育种计划中估计有110年的遗传收益.
- 评估基因组选择 (GS) 和高通量表型 (HTP) 对未来遗传收益的影响,使用模拟.
- 评估资源分配策略,以最大限度地提高遗传收益和变异性.
主要方法:
- 从LSU大米计划中分析历史育种数据.
- 随机模拟来建模GS和HTP的影响.
- 差异组件分析以确定父,交叉和后代尺寸的影响.
主要成果:
- 平均遗传收益为每一代4.55公斤/公,超过110年.
- 从1994年到2018年,基因收益加速,谷物产量每年增加56.54公斤/公.
- 模拟预测每年4.68%的反应选择与集成的GS和HTP.
- 后代的大小 (36%) 对总变异的影响最大,其次是交叉 (23%) 和父母 (3.4%).
结论:
- 整合GS和HTP显著提高了育种效率,减少了周期时间和成本.
- 战略性资源配置,特别是优化后代规模,是最大限度地提高遗传收益和保持变异性的关键.
- 先进的育种工具和优化的策略对于公共育种计划的成功和未来的粮食安全至关重要.
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