在甜 (Ipomoea batatas L.) 的多变量数据集中的基于意识形态的基因型选择
Zakaria Alam1, Sanjida Akter2, Md Anwar Hossain Khan1
1Tuber Crops Research Centre, Bangladesh Agricultural Research Institute, Gazipur 1701, Bangladesh.
Data in brief
|July 1, 2024
概括
选择优秀的甜基因型需要分析产量和营养特征. 像BARI Mistialu-12和H9.7.12这样的有希望的品种显示出基于多特征分析的基因改进潜力.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 遗传学 遗传学 是一个
背景情况:
- 甜 (Ipomoea batatas) 是全球重要的粮食作物.
- 优化甜基因型需要评估多种产量和质量特征.
- 了解特征相关性对于有效的育种计划至关重要.
研究的目的:
- 为了确定高产和营养丰富的甜基因型.
- 分析产量和质量特征之间的相关性.
- 通过使用多变量分析,在两个生长季节评估基因型表现.
主要方法:
- 评估了可销售的根产量,β-胡卜素和维生素C含量.
- 使用了皮尔森相关系数和主要组件分析 (PCA).
- 多特征基因型-观型距离指数 (MGIDI) 用于基因型选择.
主要成果:
- Moz1.15的产量最高 (46.46/公),H5.ej.10的β-胡卜素含量最高 (48.94毫克/100克),Moz1.9的维生素C含量最高 (23.89毫克/100克).
- 在特征中发现了显著的相关性 (0.210.84);PCA确定了四个基因型集群.
- MGIDI分析显示了潜在的遗传收益 (1.86%75.4%),并确定了BARI Mistialu-12和H9.7.12作为有希望的.
结论:
- MGIDI指数有效地帮助选择优秀的甜基因型.
- 巴里Mistialu-12和H9.7.12在不同季节表现一致.
- 进一步的研究可以利用这些发现来加强甜的育种计划.
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