Yellow mottle disease epidemiology: RYMV specific detection in field-collected leaves from western Burkina Faso (2015-2019)

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Yellow mottle disease epidemiology: RYMV specific detection in field-collected leaves from western Burkina Faso (2015-2019)
Barro, Mariam; Sérémé, Drissa; Bangratz, Martine; Kassankogno, Itolou Abalo; Wonni, Issa; Poulicard, Nils; Tollenaere, Charlotte, 2023, "Yellow mottle disease epidemiology: RYMV specific detection in field-collected leaves from western Burkina Faso (2015-2019)", https://doi.org/10.23708/GZCM1O, DataSuds, V1, UNF:6:QdAkQ0xLZwp669pBgerjJg== [fileUNF]
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Description

This project aims at a better understanding of yellow mottle disease epidemiology, both at the regional level, by comparing irrigated areas to rainfed lowland rice, and at the within-field level.

The study area is located in western Burkina Faso, in a 100x100kms region within the three provinces Houet, Kénédougou and Comoé, in the sudanian bioclimatic area.
Major study sites correspond to three geographical zones (Bama, Banzon and Karfiguela), each of these zones presenting both an irrigated area and neighboring rainfed lowland. Irrigated areas and rainfed lowland were chosen as “neighboring” to assume similar climatic conditions. We followed up these six sites from 2016 to 2019. Prior to that, an initial survey was performed in 2015 in two areas, all irrigated: Banzon and Karfiguela.

Collected rice leaves were tested for the specific serological detection of Rice Yellow Mottle Virus (RYMV) by specific DAS-ELISA. This dataset provides information about each analyzed sample (Data_RYMV_BF_Samples_Dataset.tab), and prevalence (=incidence) data in each studied field (Data_RYMV_BF_Fields_Dataset.tab).

(2023-02-08)
Subject Agricultural Sciences; Medicine, Health and Life Sciences
Keyword Rice yellow mottle disease, Sobemovirus, Molecular epidemiology, Plant virology, Crop virus
Related Publication Mariam Barro, Abalo Itolou Kassankogno, Issa Wonni, Drissa Sérémé, Irénée Somda, Hilaire Kouka Kaboré, Gilles Béna, Christophe Brugidou, Didier Tharreau, and Charlotte Tollenaere (2021) « Spatiotemporal Survey of Multiple Rice Diseases in Irrigated Areas Compared to Rainfed Lowlands in the Western Burkina Faso », Plant Disease. Scientific Societies, 105:12, 3889-3899. doi: 10.1094/pdis-03-21-0579-re
Notes Project "EVolution of CO-infecting PAthogens in Rice – EVCOPAR" https://anr.fr/Project-ANR-20-CE35-0004

Data type: Survey data
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Data_RYMV_BF_Fields_DataDictionary.tab
Data_RYMV_BF/Tabular Data - 2.4 KB
Published Mar 23, 2023
4 Downloads
2 Variables, 16 Observations UNF:6:IImh9MretzuHiTJt01JxqA==
Data dictionary of the file Data_RYMV_BF_Fields_Dataset.tab
Documentation
Data_RYMV_BF_Fields_Dataset.tab
Data_RYMV_BF/Tabular Data - 14.8 KB
Published Mar 23, 2023
4 Downloads
17 Variables, 203 Observations UNF:6:oku1ggfNdVaSH8uTq3GZ4w==
Field data
Data
Data_RYMV_BF_Methodology.pdf
Data_RYMV_BF_Methodology.pdf
Data_RYMV_BF/Adobe PDF - 588.0 KB
Published Mar 23, 2023
8 Downloads
MD5: f804f7cd36b95cb15def95ad0596c811
Dataset detailed documentation (9 pages, French and English): "General methodology and study sites", "Studied rice fields", "Symptom observation and sampling", ...
Documentation
Data_RYMV_BF_Samples_DataDictionary.tab
Data_RYMV_BF/Tabular Data - 1.0 KB
Published Mar 23, 2023
4 Downloads
2 Variables, 8 Observations UNF:6:stpYxexnk/bMEzGYlfUiBQ==
Data dictionary of the file Data_RYMV_BF_Samples_Dataset.tab
Documentation
Data_RYMV_BF_Samples_Dataset.tab
Data_RYMV_BF/Tabular Data - 77.3 KB
Published Mar 23, 2023
4 Downloads
9 Variables, 1317 Observations UNF:6:sPlXi/4dgpiIJ4xOW7/omQ==
Sample data
Data
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