Article ID Journal Published Year Pages File Type
6373269 Crop Protection 2016 7 Pages PDF
Abstract

•A image analysis method to detect and quantify H. avenae white females was developed.•The method correctly identified more than 96% of the females in samples from different soils.•The method could be applied both to assess level of cyst nematode infestation in crop fields and tolerance in breeding lines.

Heterodera avenae and other cyst-producing nematode species are traditionally counted manually by visual inspection, a laborious and time consuming process. A method to detect and count cereal cyst nematodes based on image analysis techniques and statistical identification was designed and tested on H. avenae white females. Nematodes at the white female stage and free of soil particles were isolated from a contaminated wheat field. Known quantities of white females were mixed with different pre-treated background soil samples from non infested fields. Pre-treatment consisted of typical sieving and centrifugation procedures for white female extraction. Image analysis techniques were then used to detect, count and characterize white females in the mixtures. Over 96% of the H. avenae white females and substrate particles were correctly identified showing that a clear distinction can be drawn between the two groups. The results confirmed the validity of the proposed method to identify and count H. avenae females in backgrounds of different origins. This study establishes the basis for the design of a standardized method that is easily incorporated into a stand-alone system to facilitate the detection and quantification of nematode inoculum. This method can be applied to evaluate infestation level in crop fields and also to detect resistance/tolerance in breeding lines.

Related Topics
Life Sciences Agricultural and Biological Sciences Agronomy and Crop Science
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