近红外光谱法用于时间分类麻瓜基因型的近红外光谱法
Massaine Bandeira E Sousa1, Cinara Fernanda Garcia Morales1, Edwige Gaby Nkouaya Mbanjo2
1Núcleo de Recursos Genéticos e Desenvolvimento de Variedades, Embrapa Mandioca e Fruticultura, Cruz das Almas, BA, Brazil.
Frontiers in plant science
|July 29, 2024
概括
近红外光谱学 (NIRS) 根据时间有效地分类麻的基因型,帮助育种者. 这种高通量方法提高了计划中可取特性选择效率.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 频谱学是一种光谱学.
背景情况:
- 菜的时间是品质和育种选择的关键.
- 近红外光谱学 (NIRS) 提供了快速表型化潜力.
研究的目的:
- 根据时间来评估NIRS用于分类麻豆基因型.
- 使用不同的NIRS设备和算法来比较分类准确度.
主要方法:
- 在三个季节中评估了888种麻豆基因型,测量了时间 (15-40分钟).
- 使用两个NIRS设备 (QualitySpec® Trek和NIRFlex N-500) 收集的光谱数据.
- 使用K-最近邻居 (KNN) 和部分最小平方 (PLS) 模型与二进制和多类变量进行分类的基因型.
主要成果:
- 对二进制时间变量实现了高分类准确度 (0.72-0.99).
- 多类分类准确度在各种仪器和模型中是一致的 (~0.63).
- 在大多数时间类别中,KNN模型的准确性略高.
结论:
- NIRS是一个有前途的高吞吐量工具,可以根据时间对麻的基因型进行分类.
- 二元分类被证明更有效和准确,特别是在选择时间 ≤ 30 分钟的基因型时.
- 这项研究表明,NIRS有潜力加速麻养殖,以改善特征.
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