基于时间序列多光谱成像的绿化工厂季节性变化的基因剖析
Taeko Koji1, Hiroyoshi Iwata2, Motoyuki Ishimori2
1The United Graduate School of Agricultural Sciences, Tottori University, 4-101 Koyamacho Minami, Tottori 680-8553, Japan.
Plants (Basel, Switzerland)
|October 28, 2023
概括
这项研究引入了一种多谱成像方法,可以全年跟踪装饰植物的外观. 它揭示了植物覆盖和生物质指数如何随季节变化,有助于为屋顶绿地选择植物.
科学领域:
- 园艺园艺 园艺园艺
- 植物生理学 植物生理学
- 遥感 遥感 遥感 遥感
背景情况:
- 对于屋顶绿化中的装饰植物来说,全年保持美学吸引力至关重要.
- 目前用于评估季节性植物外观,包括颜色和生长的方法尚未成熟.
研究的目的:
- 开发和应用多谱成像技术,以评估装饰植物外观的季节性变化.
- 确定与这些季节性生长变化相关的定量特征位置 (QTL).
主要方法:
- 从2019年3月到2020年4月的16个时间点对Phedimus takesimensis (常青和冬眠的父母和F1杂交物) 的多谱成像.
- 计算15个植被指数和植物覆盖面积,并进行定量特征位置 (QTL) 分析.
主要成果:
- 植物覆盖和生物质相关的植被指数在春夏生长期间达到峰值.
- 在冬季休眠期间,与安托素相关的植被指数升高.
- 主要成分分析 (PCA) 与观察到的颜色和生长活动相关的光谱反射变化.
- 确定了7个QTL,与显著的季节性生长变化有关.
结论:
- 多光谱成像提供了一种可靠的方法来监测植物在整个年度周期 (生长,衰老,休眠) 的形态变化.
- 这种时间监测方法提高了对装饰应用的植物外观的理解,特别是在屋顶绿化中.
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