使用无人机表型和动态表型分析对反应特征的剖析,以探索小麦中的N反应和相关遗传位置
Guohui Ding1, Liyan Shen1, Jie Dai1
1College of Agriculture, Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China.
Plant phenomics (Washington, D.C.)
|December 27, 2023
概括
提高小麦中 (N) 使用效率对于可持续农业至关重要. 这项研究使用无人机表型化来分析小麦.
科学领域:
- 农业科学 农业科学
- 植物科学 植物科学
- 遗传学 是一个遗传学.
背景情况:
- 农业中低效的利用导致环境问题和健康问题.
- 在作物系统中优化的应用对于可持续性至关重要.
- 小麦生产需要高效的使用,以尽量减少负面影响.
研究的目的:
- 测量小麦的表型变化,以应对不同的处理.
- 开发动态表型分析,以评估反应能力.
- 为了确定基因组件底层的小麦的反应性.
主要方法:
- 基于无人机的空中表型化和AirMeasurer平台被用于收集基于图片的形态,光谱和纹理数据.
- 动态表型分析和曲线拟合被用来建立特征概况曲线.
- 基于反应表型和SNP数据,开发了机器学习模型进行品种分类.
主要成果:
- 量化了六个与反应相关的特征,并计算了动态表型.
- 产生了效率综合得分 (NECS),将品种分为四个反应组.
- 一个机器学习模型在使用表型数据对反应率进行分类时取得了很高的准确性.
结论:
- 这项研究表明,使用先进的表型化技术,反应研究取得了进展.
- 这些发现对改善小麦育种和生产中的可持续性有影响.
- 了解反应的遗传成分可以帮助开发更高效的小麦品种.
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