Automated Author ProfileMazourek, Michael
Cornell UniversityInstitute of Plant Genetics, Polish Academy of Sciences
Mazourek, Michael
Cornell UniversityInstitute of Plant Genetics, Polish Academy of Sciences
Current S-Index
2.2
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
2.2
Average Dataset Index per dataset
Total Datasets
1
Total datasets for this author
Average FAIR Score
76.9%
Average FAIR Score per dataset
Total Citations
1
Total citations to the author's datasets
Total Mentions
0
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
- Successful management of insect crop pests requires an understanding of the cues and spatial scales at which they function to affect rates of attack of preferred and non-preferred host plants. A long-standing conceptual framework in insect-plant ecology posits that there is hierarchical structure spanning host location, acceptance, and attack that could be exploited for integrated pest management. 2. We investigated how plant- and insect-derived chemical cues affect successive decisions of host choice in aggregating insects, and tested predictions in the Cucurbita pepo - Acalymma vittatum system. Acalymma vittatum is an aggregating specialist beetle pest that strongly prefers zucchini (C. p. pepo) to summer squash (C. p. ovifera), two independent domesticates of C. pepo. We hypothesized that subspecies-specific plant traits, especially volatile cues, interact with the male-produced aggregation pheromone to amplify beetle preference for C. p. pepo. 3. Differential beetle attack of C. pepo subspecies in the field is not determined by plant traits that affect host finding or differential aggregation due to pheromones: across two years, beetles had strong density-dependent attraction to both subspecies when male beetles were feeding, and no interactions between plant volatiles and the male-produced pheromone were detected. In absence of male pheromone emission, beetles were equally unattracted to plants with or without beetle feeding. 4. In contrast, plant traits that mediate insect acceptance appear to underlie differences in preference. At a local scale, beetles did not accept and emigrated from C. p. ovifera compared to C. p. pepo. Distinct volatile emissions were observed between subspecies, but further work is needed to identify if these volatiles promote emigration. 5. Synthesis and applications: By dissecting pest preference during successive host choice decisions, we isolated a trait with implications for pest management. Beetles on cucurbits can be managed by employing cultivars with differential susceptibility (e.g. trap cropping), and the mechanistic knowledge presented here informs best practices and limitations for on-farm applications. More broadly, pest management in diversified cropping systems can be enhanced through understanding how plant preference gradients affect herbivore movement and behavior, and plant breeders can target traits to reduce herbivory in such systems.
Authors
- Brzozowski, Lauren ;
- Gardner, Jeffrey ;
- Hoffmann, Michael ;
- Kessler, André ;
- Agrawal, Anurag ;
- Mazourek, Michael
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.69p8cz8zgMay 2020