在大米幼苗的自然寒冷压力下,叶子光谱特性和快速甲光的时间变化
Árpád Székely1, Tímea Szalóki1, Mihály Jancsó1
1Research Centre for Irrigation and Water Management, Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Anna-Liget Str. 35, H-5540 Szarvas, Hungary.
Plants (Basel, Switzerland)
|July 14, 2023
概括
手持光谱仪的高光谱数据可以识别耐寒的水品种. 特定的光谱指数和波长在寒冷压力下有效区分大米基因型,有助于作物监测.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 植物生理学 植物生理学
背景情况:
- 超光谱遥感对于作物管理,产量预测和压力检测至关重要.
- 手持式光谱仪为在现场条件下获取高光谱数据提供了一种可行的方法.
研究的目的:
- 为了验证手持光谱仪数据,在自然寒冷压力下使用素a光测量.
- 评估16种不同寒冷容忍度的水品种的表现.
- 确定特定的波长和光谱指数,以区分耐寒的米品种.
主要方法:
- 实地实验是在两个季节进行的,使用16种大米品种在不同的温度下进行实验.
- 谱仪数据与叶绿素a光测量和白化植物进行了比较.
- 分析了24个光谱指数和11个快速素-a光参数.
- 引入并评估了新开发的指数 (AAR和RAR).
主要成果:
- 低温显著影响了大米植物中的特定波长.
- 吸收,反射和透射的光谱差异有效地区分了耐受和敏感的米品种.
- 识别耐受品种的关键波长是吸收 (548-553 nm,667-670 nm,687-688 nm,800-950 nm),反射 (>700 nm) 和透射 (400-1100 nm).
结论:
- 手持的超光谱数据,特别是吸收率,反射率和透射率,对于评估大米的寒冷应激耐受性是有效的.
- 频谱特征,包括形状,峰值和转移距离,为基因型歧视提供了宝贵的信息.
- 该研究确定了特定的光谱区域和指数,用于监测大米的耐寒性,以支持精准农业.
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