Root-knot nematodes cause forking and stubbing of the growing carrot root tip, decreasing market value and reducing yield by up to 45%. Since crop damage by these nematodes depends on their initial population densities at planting, preplant detection of potentially low nematode numbers is critical for predicting future yield loss. The aim of this study was to overcome some of the drawbacks of the labor- and time-intensive process of root-knot nematode identification and quantification by developing and field testing a real-time PCR (qPCR) assay. Primers were designed targeting the root-knot nematode species complex, which includes as well as the closely related and . The qPCR assay successfully detected each species and showed little amplification for nontarget nematode groups except for the sister group , which is not known to occur in California. Predicted nematode densities related well with microscopic counts of nematodes from prepared solutions, as well as from solutions extracted from field soil. In a greenhouse experiment, the qPCR assay distinguished between low, medium, and high levels of infection and qPCR predicted densities at planting were negatively related in linear models with final carrot fresh weight, length, and diameter. These results suggest that qPCR assays could be a valuable diagnostic tool to predict nematode infections and prevent crop losses.[Formula: see text] Copyright © 2023 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1094/PDIS-10-22-2431-RE | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!