A qRT-PCR method to evaluate viability of potato cyst nematode (<i>Globodera</i> spp.)
Bibliographic record
Abstract
Potato cyst nematodes (PCN) – <i>Globodera rostochiensis</i> and <i>G. pallida</i> – cause significant yield losses on potato worldwide. One of the main challenges to PCN management is the ability of PCN to remain dormant in the soil for several decades. For that reason, many countries have strict quarantine regulations for PCN. These regulations, although expensive and restrictive for growers, are necessary to prevent further spread of PCN but should be lifted when no more viable cysts are found. Here, we report a promising qRT-PCR method for the quantification of viable eggs and propose that this method be included in routine testing. The method was successful for quantifying <i>G. ellingtonae, G. rostochiensis</i> and <i>G. pallida</i> and was found to be very sensitive with the systematic detection of a single larva. Intron-flanking probes were used to eliminate the possibility of false positives due to genomic DNA, and an internal control was added to detect failure in PCR due to inhibitors. No amplification occurred during the testing of eggs that had previously received heat treatments or fumigation with methyl bromide. This qRT-PCR assay was used to evaluate the viability of field populations of <i>G. rostochiensis</i> 10 years after the establishment of a quarantine area in Saint-Amable, Quebec, Canada. The number of viable eggs after a decade of regulation was found to be very low and confirmed the effectiveness of the measures put in place. Egg viability was also monitored in microplots following five continuous years of planting resistant potatoes, and no signs of resistance-breaking genotypes were observed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".