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3,071 to 3,080 of 9,179 Results
Mar 24, 2023 - LMI PathoBios
Billard, Estelle; Thomas, Emilie; Perez, Manon; Boyer, Pascaline; Tollenaere, Charlotte, 2023, "Pathogenic diversity of rice yellow mottle virus isolates from western Burkina Faso (2015-2021): phenotypic evaluation data", https://doi.org/10.23708/MDQIUE, DataSuds, V1, UNF:6:s6z/ab1uEzE8BGyoZ906Dw== [fileUNF]
The rice yellow mottle virus (RYMV) constitutes a major threat to the actual development of rice cultivation in Africa. As climate change and agricultural intensification increase the risk of epidemics, there is an urgent need to understand the spatio-temporal dynamics of RYMV at...
Tabular Data - 1.6 KB - 2 Variables, 18 Observations - UNF:6:HJ9b5k2w16J5ne7PzDaBhA==
Documentation
Phenotypic evaluation of 4 RYMV isolates on 5 rice cultivars: data dictionary.
Tabular Data - 90.0 KB - 19 Variables, 1125 Observations - UNF:6:HEgYv4Lt8b+jR6FvJu8iwg==
Data
Phenotypic evaluation of 4 RYMV isolates on 5 rice cultivars. Notation of symptoms (symptom severity scale), intra-plant viral load (number of RYMV copies) and plant height measurements.
Tabular Data - 1.7 KB - 2 Variables, 19 Observations - UNF:6:+TzkOVPeIdsgY1RVAf+koQ==
Documentation
Phenotypic evaluation of 13 RYMV isolates on one susceptible rice cultivar: data dictionary.
Tabular Data - 60.3 KB - 20 Variables, 560 Observations - UNF:6:gBF2FdWDRDNua8FVXfgyRA==
Data
Phenotypic evaluation of 13 RYMV isolates on one susceptible rice cultivar. Notation of symptoms (symptom severity scale), intra-plant viral load (number of RYMV copies) and plant height measurements.
Adobe PDF - 516.6 KB - MD5: 239896b27d9093ce38464e206d4b0901
Documentation
Main documentation in English (4 pages, including figures, photos and references) "Methodology for phenotypic evaluation of RYMV isolates under controlled conditions"
Mar 23, 2023 - LMI PathoBios
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]
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...
Tabular Data - 2.4 KB - 2 Variables, 16 Observations - UNF:6:IImh9MretzuHiTJt01JxqA==
Documentation
Data dictionary of the file Data_RYMV_BF_Fields_Dataset.tab
Tabular Data - 14.8 KB - 17 Variables, 203 Observations - UNF:6:oku1ggfNdVaSH8uTq3GZ4w==
Data
Field data
Adobe PDF - 588.0 KB - MD5: f804f7cd36b95cb15def95ad0596c811
Documentation
Dataset detailed documentation (9 pages, French and English): "General methodology and study sites", "Studied rice fields", "Symptom observation and sampling", ...
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