Automated Counting of Meloidogyne javanica Galls in Vegetable Roots

Vinícius Hicaro Frederico Abe,Frederico Oldenburg Peres,Alan Salvany Felinto,Angélica Miamoto,Cláudia Regina Dias-Arieira

doi:10.1590/0100-5405/193307

Vinícius Hicaro Frederico Abe, Frederico Oldenburg Peres + Show 3 more

Open Access

https://doi.org/10.1590/0100-5405/193307

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Abstract

ABSTRACT Root-knot nematodes, genus Meloidogyne spp., are among the most destructive parasites of cultivated plants. The characteristic symptom of this disease is gall formation in the root system. Genetic resistance is one of the most efficient and economic methods of minimal environmental impact to control this endoparasite, and gall index has been used to select resistant varieties. However, this method is based on visual assessment of galls and is therefore a time-consuming and error-prone technique. Thus, this study aims to develop an automated computational method for Meloidogyne javanica gall counting. The proposed method was composed of five steps: visual counting of galls, image acquisition by a scanner, optimization of parameters based on the image group and image counting. Lettuce root showed the best results, with 1% mean relative error, while tomato root had the worst result, showing 32% mean relative error. The mean relative error for all tested roots was 13%.

Highlights

Root-knot nematodes, genus Meloidogyne spp., are among the most destructive parasites of cultivated plants
Different Meloidogyne species have their number of galls and nematode eggs annually evaluated in the search for new control methods
Gall counting is generally expressed as total number of galls or gall index

Summary

Introduction

Root-knot nematodes, genus Meloidogyne spp., are among the most destructive parasites of cultivated plants. Genetic resistance is one of the most efficient and economic methods of minimal environmental impact to control this endoparasite, and gall index has been used to select resistant varieties. This method is based on visual assessment of galls and is a time-consuming and error-prone technique. Gall counting consists in observing the roots through magnifying glasses or the naked eye and directly quantifying the existing galls. This is a time-consuming method subject to error, which varies depending on the observer’s experience. Lu et al [15] adopted fluorescent imaging technology which increased the counting efficiency

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