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The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops
Bemisia tabaci is one of the main pests of vegetable crops in the tropics, including in Indonesia. The vertical distribution pattern of B. tabaci on investigated vegetable plants can be used to establish a sample observation unit in monitoring activities of pest control management. This data showed...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452587/ https://www.ncbi.nlm.nih.gov/pubmed/32904323 http://dx.doi.org/10.1016/j.dib.2020.106157 |
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author | Sudarjat Seftira, Zesy Djaya, Luciana |
author_facet | Sudarjat Seftira, Zesy Djaya, Luciana |
author_sort | Sudarjat |
collection | PubMed |
description | Bemisia tabaci is one of the main pests of vegetable crops in the tropics, including in Indonesia. The vertical distribution pattern of B. tabaci on investigated vegetable plants can be used to establish a sample observation unit in monitoring activities of pest control management. This data showed the vertical distribution pattern of B. tabaci on vegetable plants gathered from two different locations, namely from the high land of Ciwidey District, Bandung City (string bean, kidney bean, and tomato) and the low land of Sliyeg District, Indramayu City (eggplant, towel gourd, cucumber, and long beans). The data of B. tabaci nymph population were then analyzed to determine vertical distribution patterns. |
format | Online Article Text |
id | pubmed-7452587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74525872020-09-03 The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops Sudarjat Seftira, Zesy Djaya, Luciana Data Brief Agricultural and Biological Science Bemisia tabaci is one of the main pests of vegetable crops in the tropics, including in Indonesia. The vertical distribution pattern of B. tabaci on investigated vegetable plants can be used to establish a sample observation unit in monitoring activities of pest control management. This data showed the vertical distribution pattern of B. tabaci on vegetable plants gathered from two different locations, namely from the high land of Ciwidey District, Bandung City (string bean, kidney bean, and tomato) and the low land of Sliyeg District, Indramayu City (eggplant, towel gourd, cucumber, and long beans). The data of B. tabaci nymph population were then analyzed to determine vertical distribution patterns. Elsevier 2020-08-08 /pmc/articles/PMC7452587/ /pubmed/32904323 http://dx.doi.org/10.1016/j.dib.2020.106157 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Sudarjat Seftira, Zesy Djaya, Luciana The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops |
title | The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops |
title_full | The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops |
title_fullStr | The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops |
title_full_unstemmed | The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops |
title_short | The data set on vertical distribution pattern of Bemisia tabaci genn. (Homoptera: Aleyrodidae) in several vegetable crops |
title_sort | data set on vertical distribution pattern of bemisia tabaci genn. (homoptera: aleyrodidae) in several vegetable crops |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452587/ https://www.ncbi.nlm.nih.gov/pubmed/32904323 http://dx.doi.org/10.1016/j.dib.2020.106157 |
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