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6 results for “cabbage looper”
Critical PO2 as a diagnostic biomarker for the effects of low-oxygen modified and controlled atmospheres on phytosanitary irradiation treatments in the Cabbage Looper Trichoplusia ni (Hübner)
<p>BACKGROUND: Phytosanitary irradiation is a sustainable alternative to chemical fumigants for disinfesting fresh commodities from insect pests. However, irradiating insects in modified atmospheres with very low oxygen (<1 kPa O2) has repeatedly been shown to increase radioprotective response. Thus, there is a concern that modified atmosphere packaging could reduce the efficacy of phytosanitary irradiation. One hurdle slowing the widespread application of phytosanitary irradiation is a lack of knowledge about how moderate levels of hypoxia relevant to modified atmosphere packaging of most fresh commodities (3-10 kPa O2) may affect phytosanitary irradiation treatments. Therefore, we hypothesize that critical PO2 (Pcrit), the level of oxygen at which an insect's metabolism becomes impaired, can be used as a diagnostic biomarker to predict the induction of a radioprotective response. RESULTS: Using the cabbage looper Trichoplusia ni (Hübner), we show that there is a substantial increase in radiation resistance when larvae are irradiated in atmospheres more hypoxic than their Pcrit (3.3 kPa O2). These data are consistent with our hypothesis that Pcrit could be used as a diagnostic biomarker for what levels of hypoxia may induce radioprotective effects that could impact phytosanitary irradiation treatments. CONCLUSION: We propose that the relationship between Pcrit and radioprotective effects could allow us to build a framework for predicting the effects of low-oxygen atmospheres on the efficacy of phytosanitary irradiation. However, more widespread studies across pest species are still needed to test the generality of this idea.</p>
Data from: Compatibility of the fungus Beauveria bassiana and Trichoplusia ni SNPV against the cabbage looper Trichoplusia ni : crop plant matters
<p>BACKGROUND: Microbial insecticides are an important weapon in insect pest management, but their use is still relatively limited. One approach for increasing their efficacy and use could be to combine different pathogens to increase pest mortality. However, little is known about whether increasing pathogen diversity will improve pest management. Here, we investigated the compatibility of two pathogens for the management of the cabbage looper, <em>Trichoplusia ni</em>; T. ni nucleopolyhedrovirus (TniSNPV) and the entomopathogenic fungus <em>Beauveria bassiana </em>on two crops, tomato and broccoli. The pathogens were applied to individual plants using ultra low volume sprays, alone or in combination, either synchronously or asynchronously. Healthy 3rd instar <em>T. ni</em> larvae were introduced to the plants before application and collected by destructive sampling 24h after the last pathogen application.</p> <p>RESULTS: Combined applications did not result in an increase in larval mortality compared to TniSNPV alone, although mortality was generally high. <em>Beauveria bassiana</em> was considerably less effective on broccoli compared to tomato. In both the combined treatments, virus-induced mortality was approximately 50% lower when applied together with the fungus, while fungus-induced mortality was not affected by the virus, even when the virus was introduced 24h before the fungus.</p> <p>CONCLUSION: While our results suggest that applying this combination of entomopathogens would not be beneficial for pest management, this study illustrates the need to consider the target crop as an important driver of the efficacy of both single and mixed pathogen applications in the field.</p>
Data from: Compatibility of the fungus Beauveria bassiana and Trichoplusia ni SNPV against the cabbage looper Trichoplusia ni : crop plant matters
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Critical PO2 as a diagnostic biomarker for the effects of low-oxygen modified and controlled atmospheres on phytosanitary irradiation treatments in the Cabbage Looper Trichoplusia ni (Hübner)
Open the record for dataset details and reuse information.
Neural network for forecasting egg abundance of the cabbage looper on three cole crops
<p>Neural network for predicting eggs of <em>Trichoplusia ni</em> in plants of brassica varieties using weather data (mean temperature, rainfall, and relative humidity from 15 prior), host plant (broccoli, cabbage, and cauliflower), and days after transplanting as input variables.</p>
Host plant driven transcriptome plasticity in the salivary glands of the cabbage looper (Trichoplusia ni)
GEO Series GSE101549. Trichoplusia ni. 9 samples. Type: Expression profiling by high throughput sequencing.
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