首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Geographical origin identification of Spodoptera litura (Lepidoptera: Noctuidae) based on trace element profiles using tobacco as intermedium planted on soils from five different regions
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Geographical origin identification of Spodoptera litura (Lepidoptera: Noctuidae) based on trace element profiles using tobacco as intermedium planted on soils from five different regions

机译:基于痕量元素谱的Spodoptera Litura(Lepidoptera:Noctuidae)的地理原产地鉴定使用烟草作为媒体种植在五种不同地区的土壤上

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摘要

Spodoptera litura (S. aura) (Lepidoptera: Noctuidae), a worldwide agricultural pest which can feed on > 389 species of industrial crops, has been becoming the most important pest in tropical and subtropical countries. The purpose of this study was to establish an effective strategy to identify the geographical origins of such species and adopt appropriate responses for eradication campaigns. The concentrations of seven trace elements (Al, Ca, Mn, Fe, Zn, Cr, Sr) in 25 samples reared from five different regions' soils in China were determined using inductively coupled plasma optical emission spectrometry. The results showed significant differences among soil samples and S. litura samples collected from diverse regions in terms of the contents of all elements, respectively. In addition, four elements (Ca, Fe, Zn and Sr) showed significantly correlations (P < 0.05) between S. litura and soils. Multivariate analysis techniques including principal component analysis and canonical discriminant analysis were utilized to discriminate S. litura samples according to geographical origins using concentrations of trace elements as variables. The recognition accuracy and prediction accuracy were both reach to 100.0% through cross validation of the results. Therefore, identification pattern on the basis of trace elements in the bodies of S. litura was feasible for the determination of geographical origins of individuals and the applications of this technique could be potentially available to design pest management programs and contribute for resolving invasive insect issues in pest breakout areas in the future.
机译:Spodoptera Litura(S. aura)(鳞翅目)(鳞翅目:Noctuidae),全球农业害虫可以饲养> 389种工业作物,一直成为热带和亚热带国家最重要的害虫。本研究的目的是建立有效的策略,以确定这些物种的地理起源,并采取适当的根除活动响应。使用电感耦合等离子体光发射光谱法测定从中国五个不同地区土壤中饲养的25个样品中七种痕量元素(Al,Ca,Mn,Fe,Zn,Cr,Sr)的浓度。结果表明,在所有元素的内容中,土壤样品和S. Litura样品中的土壤样品和S. Litura样品的显着差异。此外,四种元素(CA,Fe,Zn和Sr)显示出司令部和土壤之间的显着相关性(P <0.05)。包括主要成分分析和规范判别分析的多变量分析技术用于根据使用痕量元素作为变量的地理起源来区分S. Litura样品。通过对结果的交叉验证,识别准确度和预测精度均达到100.0%。因此,基于S. Litura体内的微量元素的鉴定模式是可行的,用于确定个体的地理起源,这种技术的应用可能是设计害虫管理计划,并有助于解决侵入性昆虫问题未来的害虫突破区。

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