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Determination of Sitotroga cerealella infestation in wheat seeds by radiographic and multispectral images
Agronomy Journal ( IF 2.0 ) Pub Date : 2020-06-11 , DOI: 10.1002/agj2.20327
Fabiano França‐Silva 1 , Carlos Henrique Queiroz Rego 1 , Francisco Guilhien Gomes‐Junior 1 , Vivian Aparecida Brancaglioni 2 , Welinton Yoshio Hirai 2 , Daniele Brandstetter Rodrigues 3 , Andreia da Silva Almeida 3 , Andrea Bicca Noguez Martins 3 , Lilian Vanussa Madruga de Tunes 3
Affiliation  

Radiographic and multispectral image analysis have potential to be efficient, objective methods for assessing seed quality and internal insect infestation. The aim of this study was to verify the efficiency of radiographic and multispectral analysis in detecting signs and damage caused by Angoumois grain moth [Sitotroga cerealella (Olivier)] and its different developmental stages in wheat (Triticum aestivum L.) seeds. The experiment was conducted in a completely randomized design with six replications of 50 seeds. The samples were subjected to laboratory‐induced infestation and after 5 and 10 d, radiographic and multispectral analysis were conducted. Afterwards, the seeds were immersed in water for 24 h and then sectioned with a cutting blade. The number of seeds with signs of eggs or oviposition, larvae, pupae, adult insects and insect galleries was quantified. The generalized linear models (GLM) methodology was used and the Tukey test (p < .05) was used to compare the means. In general, the radiographic (with or without contrast) and multispectral methods are viable tools to evaluate insect‐infested and uninfested wheat seeds. Multispectral analysis was efficient only in identifying eggs on the seed surface and does not detect the presence of larvae and pupae inside the seeds.

中文翻译:

射线照相和多光谱图像测定小麦种子中的谷物嗜麦芽肿病

射线照相和多光谱图像分析有可能成为评估种子质量和内部昆虫侵害的有效,客观的方法。本研究的目的是验证放射线和多光谱分析的效率在检测由Angoumois晶粒蛾[体征和损坏Sitotroga cerealella(奥利弗)]和在它的小麦不同发育阶段(小麦L.)种子。实验是在完全随机的设计中进行的,每50粒种子重复六次。对样品进行实验室诱导的侵扰,并在5和10 d后进行放射照相和多光谱分析。之后,将种子浸入水中24小时,然后用切割刀片切片。量化有卵或卵生,幼虫,p,成虫和昆虫画廊的种子的数量。使用广义线性模型(GLM)方法,并使用Tukey检验(p <.05)用于比较均值。通常,射线照相(有或没有对比)和多光谱方法是评估昆虫感染和未感染小麦种子的可行工具。多光谱分析仅能有效识别种子表面的卵,而不能检测出种子内部存在幼虫和p。
更新日期:2020-06-11
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