安都的分级标准 DUS数量特征通过多重比较
Yunxia Chu1,2, Li Ren1,2, Shan Deng1,2
1Institute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Plants (Basel, Switzerland)
|July 14, 2023
概括
确定植物品种测试的准确分类标准至关重要. 多重比较方法提供了一种更简单,更准确的方法,用于在明显性,统一性和稳定性 (DUS) 评估中设定这些标准.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 园艺园艺 园艺园艺
背景情况:
- 准确的分级标准对于分辨率,均性和稳定性 (DUS) 测试至关重要.
- 由于环境影响 (年份,地点),DUS测试指南要求调整分级标准.
- 提高DUS评估准确性取决于建立强大的分级标准.
研究的目的:
- 分析anthurium品种中定量特征的变化和分布模式.
- 为了比较三种建立DUS等级标准的方法:两个标准偏差,两个LSD0.05和多重比较.
- 确定确定DUS分级标准的最准确和最有效的方法.
主要方法:
- 对251种安都的9个定量特征进行了分析.
- 应用两种标准偏差方法来确定等级间隔.
- 应用两种LSD0.05方法来确定年级间隔.
- 应用多重比较方法来确定年级间隔.
主要成果:
- 品种内部的变化系数在6.96%至10.11%之间.
- 大多数定量特征不遵循正常分布,除了骨厚度和骨大小.
- 多重比较方法的分级间隔大约是其他两种方法的1.25倍.
结论:
- 多重比较方法为建立分级标准提供了一个更简单的过程.
- 通过多重比较方法建立的分级标准显示了更高的准确性和更低的错误率.
- 建议使用多重比较方法来确定定量特征的DUS测试指南.
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