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Hyperspectral reflectance sensing to assess the growth and photosynthetic properties of wheat cultivars exposed to different irrigation rates in an irrigated arid region

机译:高光谱反射感测可评估干旱地区不同灌溉速率下小麦品种的生长和光合特性

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摘要

Simultaneous indirect assessment of multiple and diverse plant parameters in an exact and expeditious manner is becoming imperative in irrigated arid regions, with a view toward creating drought-tolerant genotypes or for the management of precision irrigation. This study aimed to evaluate whether spectral reflectance indices (SRIs) in three parts of the electromagnetic spectrum ((visible-infrared (VIS), near-infrared (NIR)), and shortwave-infrared (SWIR)) could be used to track changes in morphophysiological parameters of wheat cultivars exposed to 1.00, 0.75, and 0.50 of the estimated evapotranspiration (ETc). Significant differences were found in the parameters of growth and photosynthetic efficiency, and canopy spectral reflectance among the three cultivars subjected to different irrigation rates. All parameters were highly and significantly correlated with each other particularly under the 0.50 ETc treatment. The VIS/VIS- and NIR/VIS-based indices were sufficient and suitable for assessing the growth and photosynthetic properties of wheat cultivars similar to those indices based on NIR/NIR, SWIR/NIR, or SWIR/SWIR. Almost all tested SRIs proved to assess growth and photosynthetic parameters, including transpiration rate, more efficiently when regressions were analyzed for each water irrigation rate individually. This study, the type of which has rarely been conducted in irrigated arid regions, indicates that spectral reflectance data can be used as a rapid and non-destructive alternative method for assessment of the growth and photosynthetic efficiency of wheat under a range of water irrigation rates.
机译:为了建立耐旱基因型或进行精确灌溉管理,在干旱的干旱地区,以精确,快速的方式同时间接评估多种植物参数已成为当务之急。这项研究旨在评估电磁频谱的三个部分((可见红外(VIS),近红外(NIR))和短波红外(SWIR))中的光谱反射率指数(SRI)是否可以用于跟踪变化暴露于估计蒸散量(ETc)的1.00、0.75和0.50的小麦品种的形态生理参数的变化。在不同灌溉速率下,三个品种的生长和光合效率参数以及冠层光谱反射率之间存在显着差异。所有参数之间都高度且显着相关,尤其是在0.50 ETc处理下。与基于NIR / NIR,SWIR / NIR或SWIR / SWIR的指标相似,基于VIS / VIS和NIR / VIS的指标已足够并适合评估小麦品种的生长和光合特性。当分别针对每种水灌溉速率进行回归分析时,几乎所有测试的SRI都证明可以更有效地评估生长和光合参数,包括蒸腾速率。这项研究很少在干旱干旱地区进行,该研究表明光谱反射率数据可以用作一种快速,无损的替代方法,用于评估在一定水灌溉速率下小麦的生长和光合效率。 。

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