Thrips and natural enemies through text data mining and visualization
Thrips can cause considerable economic damage. In order to reduce the use of agrochemicals research has also focused on different natural enemies. We used bibliometric mapping and visualization to understand the structure of this field. Articles from Web of Science as well as software Vosviewer were...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Czech Academy of Agricultural Sciences
2021-03-01
|
| Series: | Plant Protection Science |
| Subjects: | |
| Online Access: | https://pps.agriculturejournals.cz/artkey/pps-202101-0006_thrips-and-natural-enemies-through-text-data-mining-and-visualization.php |
| _version_ | 1828007739071135744 |
|---|---|
| author | Karmen Stopar Stanislav Trdan Tomaž Bartol |
| author_facet | Karmen Stopar Stanislav Trdan Tomaž Bartol |
| author_sort | Karmen Stopar |
| collection | DOAJ |
| description | Thrips can cause considerable economic damage. In order to reduce the use of agrochemicals research has also focused on different natural enemies. We used bibliometric mapping and visualization to understand the structure of this field. Articles from Web of Science as well as software Vosviewer were used. Analysis of co-occurrence of terms shows the principal research areas: transmission of viruses, chemical or biological control and new species. A third of articles refer to biological control. Visualizations reveal three major groups of beneficials: entomopathogens, parasitoids, and predators. Recently, attention has shifted mainly to predatory mites as biocontrol agents. Our analysis aims to make such information visually more explanatory with better overview of research directions. |
| first_indexed | 2024-04-10T08:14:26Z |
| format | Article |
| id | doaj.art-b68200816317499bb2ce5dc6bdf9de89 |
| institution | Directory Open Access Journal |
| issn | 1212-2580 1805-9341 |
| language | English |
| last_indexed | 2024-04-10T08:14:26Z |
| publishDate | 2021-03-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Plant Protection Science |
| spelling | doaj.art-b68200816317499bb2ce5dc6bdf9de892023-02-23T03:44:35ZengCzech Academy of Agricultural SciencesPlant Protection Science1212-25801805-93412021-03-01571475810.17221/34/2020-PPSpps-202101-0006Thrips and natural enemies through text data mining and visualizationKarmen StoparStanislav Trdan0Tomaž Bartol1Department of Agronomy, Biotechnical Faculty, University of Ljubljana, Ljubljana, SloveniaDepartment of Agronomy, Biotechnical Faculty, University of Ljubljana, Ljubljana, SloveniaThrips can cause considerable economic damage. In order to reduce the use of agrochemicals research has also focused on different natural enemies. We used bibliometric mapping and visualization to understand the structure of this field. Articles from Web of Science as well as software Vosviewer were used. Analysis of co-occurrence of terms shows the principal research areas: transmission of viruses, chemical or biological control and new species. A third of articles refer to biological control. Visualizations reveal three major groups of beneficials: entomopathogens, parasitoids, and predators. Recently, attention has shifted mainly to predatory mites as biocontrol agents. Our analysis aims to make such information visually more explanatory with better overview of research directions.https://pps.agriculturejournals.cz/artkey/pps-202101-0006_thrips-and-natural-enemies-through-text-data-mining-and-visualization.phppeststhysanopterabiocontrol agentsbeneficial organismsmappingbibliometrics |
| spellingShingle | Karmen Stopar Stanislav Trdan Tomaž Bartol Thrips and natural enemies through text data mining and visualization Plant Protection Science pests thysanoptera biocontrol agents beneficial organisms mapping bibliometrics |
| title | Thrips and natural enemies through text data mining and visualization |
| title_full | Thrips and natural enemies through text data mining and visualization |
| title_fullStr | Thrips and natural enemies through text data mining and visualization |
| title_full_unstemmed | Thrips and natural enemies through text data mining and visualization |
| title_short | Thrips and natural enemies through text data mining and visualization |
| title_sort | thrips and natural enemies through text data mining and visualization |
| topic | pests thysanoptera biocontrol agents beneficial organisms mapping bibliometrics |
| url | https://pps.agriculturejournals.cz/artkey/pps-202101-0006_thrips-and-natural-enemies-through-text-data-mining-and-visualization.php |
| work_keys_str_mv | AT karmenstopar thripsandnaturalenemiesthroughtextdataminingandvisualization AT stanislavtrdan thripsandnaturalenemiesthroughtextdataminingandvisualization AT tomazbartol thripsandnaturalenemiesthroughtextdataminingandvisualization |