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Differentiating stress induced by greenbugs and Russian wheat aphids in wheat using remote sensing

机译:遥感区分绿虫和俄罗斯小麦蚜虫诱导的小麦胁迫

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Outbreaks of greenbug and Russian wheat aphid appear in the Great Plains almost every year and have had significant impacts on wheat yields. Early detection of aphid infestation is a critical part of integrated pest management (IPM) for wheat production. A study was done to determine the feasibility of using remote sensing techniques to detect stress in wheat caused by aphid infestation. The purpose of this greenhouse study was to characterize and differentiate stress in wheat due to infestation by greenbugs and Russian Wheat aphids using a hand-held Cropscan radiometer. Reflectance data and derived vegetation. indices from the 16 bands of the radiometer were analyzed using SAS PROC MIXED statistical analysis procedure. Results show that it is possible to detect the stress caused by the two aphid species and to discriminate between the two aphid-induced stresses in wheat using remote sensing. Ratio-based vegetation indices (based on 800/450 nm and 950/450 nm) were found useful in differentiating the two stresses in wheat. However, more canopy-level-studies are needed to identify bands and indices that might have potential to differentiate the two stresses on wheat under field conditions.
机译:大平原地区几乎每年都会爆发绿虫和俄罗斯小麦蚜虫,并且对小麦单产产生了重大影响。蚜虫侵害的早期发现是小麦生产中有害生物综合治理(IPM)的关键部分。进行了一项研究,以确定使用遥感技术检测由蚜虫侵染引起的小麦胁迫的可行性。这项温室研究的目的是使用手持式Cropscan辐射计来表征和区分由于绿虫和俄罗斯小麦蚜虫侵染而引起的小麦胁迫。反射率数据和导出的植被。使用SAS PROC MIXED统计分析程序分析了辐射计16个波段的指数。结果表明,可以利用遥感技术检测两种蚜虫引起的胁迫,并区分两种蚜虫诱导的胁迫。发现基于比率的植被指数(基于800/450 nm和950/450 nm)有助于区分小麦的两种胁迫。但是,需要更多的冠层水平研究来确定在田间条件下可能有区别小麦的两种压力的波段和指数。

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