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Consideration of hyperspectral data in intraspecific variation (spectrotaxonomy) in Prosopis juliflora (Sw.) DC, Saudi Arabia
Open Geosciences ( IF 2 ) Pub Date : 2021-01-01 , DOI: 10.1515/geo-2020-0231
Amal Y. Aldhebiani 1 , Mohamed Elhag 2, 3, 4 , Amjaad A. Alshehri 1
Affiliation  

Classification is the science that arranges organisms in groups according to their similarities and differences. In plant science, there are many aspects of classifications. For instance, there is morphological, anatomical, palynological, molecular, and chemical classification. All these types consume time, effort, and money. In this research, new technology is tested to identify the differences between plants. Spectroradiometer will help in classifying Prosopis juliflora (Sw.) DC in Bahrah region in Saudi Arabia. Spectroradiometer technology is applied to a sample of 40 taxa of P. juliflora in two different seasons. Within each sample site, measurements were taken at a high sun angle from 10:00 am to 2:00 pm. Results showed that spectroradiometer indicated the existence of significant differences among P. juliflora taxa. Correspondingly, the spectroradiometer engenders the spectral responses of the targeted species in the region between 400 and 2,500 nm wavelength. The spectral behavior of P. juliflora in four seasons was demonstrated as season dependent. The variance-based principal component analysis divided the investigated samples into two groups, either positively correlated or negatively correlated according to the seasonal data collection. Sample number 5 in the quantile’s slicing analysis maintained a stable behavior when it was exposed to 100% wavelength. P. juliflora behavior was stabilized in the infrared (IR) samples (4,5), the shortwave IR (SWIR) (3,4,5), and thermal IT (TIR) (3,4,5,6) at the quantile range of >75. While in the quantile range <25, we found the stability behavior in the IR samples (2,8,10), the SWIR (2,7,8,10), and in TIR (2,7,8,10). Therefore, this approved that the spectroradiometer is useful as the first classification process. More studies are needed to support this finding, such as chemical and molecular investigations.

中文翻译:

考虑沙特Prosopis juliflora(Sw。)DC种内变异(光谱分类学)中的高光谱数据

分类是一门根据生物的异同将生物按组排列的科学。在植物科学中,分类有很多方面。例如,存在形态,解剖,孢粉,分子和化学分类。所有这些类型都浪费时间,精力和金钱。在这项研究中,测试了新技术以识别植物之间的差异。分光光度计将有助于对沙特阿拉伯Bahrah地区的Prosopis juliflora(Sw。)DC进行分类。分光光度计技术被应用于两个不同季节的40个紫杉类群的样品中。在每个样本位置内,从上午10:00到下午2:00在高太阳角下进行测量。结果表明,分光光度计表明在胡桃李类群中存在显着差异。相应地,分光光度计在波长为400至2500 nm之间的区域内引起目标物质的光谱响应。证明了四个季节的胡桃李的光谱行为与季节有关。基于方差的主成分分析将调查的样本分为两组,根据季节性数据收集,它们可以是正相关或负相关。分位数切片分析中的5号样品在暴露于100%波长时保持稳定的行为。在红外(IR)样品(4,5),短波IR(SWIR)(3,4,5)和热IT(TIR)(3,4,5,6)中,黄花假单胞菌的行为稳定了。分位数范围> 75。当分位数范围小于25时,我们在IR样本(2,8,10),SWIR(2,7,8,10)和TIR(2,7,8,10)中发现了稳定性行为。所以,这证明了分光辐射计可以用作第一个分类过程。需要更多的研究来支持这一发现,例如化学和分子研究。
更新日期:2021-01-01
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