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http://dx.doi.org/10.5423/PPJ.OA.05.2018.0081

Morphometric Characterisation of Root-Knot Nematode Populations from Three Regions in Ghana  

Nyaku, Seloame Tatu (Department of Crop Science, College of Basic and Applied Sciences, University of Ghana)
Lutuf, Hanif (Department of Crop Science, College of Basic and Applied Sciences, University of Ghana)
Cornelius, Eric (Department of Crop Science, College of Basic and Applied Sciences, University of Ghana)
Publication Information
The Plant Pathology Journal / v.34, no.6, 2018 , pp. 544-554 More about this Journal
Abstract
Tomato (Solanum lycopersicum) production in Ghana is limited by the root-knot nematode (Meloidogyne incognita, and yield losses over 70% have been experienced in farmer fields. Major management strategies of the root-knot nematode (RKN), such as rotation and nematicide application, and crop rotation are either little efficient and harmful to environments, with high control cost, respectively. Therefore, this study aims to examine morphometric variations of RKN populations in Ghana, using principal component analysis (PCA), of which the information can be utilized for the development of tomato cultivars resistant to RKN. Ninety (90) second-stage juveniles (J2) and 16 adult males of M. incognita were morphometrically characterized. Six and five morphometric variables were measured for adult males and second-stage juveniles (J2) respectively. Morphological measurements showed differences among the adult males and second-stage juveniles (J2). A plot of PC1 and PC2 for M. incognita male populations showed clustering into three main groups. Populations from Asuosu and Afrancho (Group I) were more closely related compared to populations from Tuobodom and Vea (Group II). There was however a single nematode from Afrancho (AF4) that fell into Group III. Biplots for male populations indicate, body length, DEGO, greatest body width, and gubernaculum length serving as variables distinguishing Group 1 and Group 2 populations. These same groupings from the PCA were reflected in the dendogram generated using Agglomerative Hierarchical Clustering (AHC). This study provides the first report on morphometric characterisation of M. incognita male and juvenile populations in Ghana showing significant morphological variation.
Keywords
Agglomerative Hierarchical Clustering (AHC); ghana; Meloidogyne incognita; morphometrics; principal component analysis;
Citations & Related Records
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