Plant Health Institute of Montpellier

Among the interactions between the plant and its environment (microbial organisms or insects, whether pathogenic or beneficial), the research unit studies those that have an impact on plant health, growth and productivity. The unit is organized in 4 research departments:
  • Plant-pathogen interactions (ITEM)
  • Plant-vector-pathogen interactions (VIROM)
  • Towards an understanding of the phytobiome (PHYTOBIOM)
  • Understanding epidemics in the field (PRISM)
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11 to 20 of 77 Results
Dec 8, 2023 - LMI PathoBios
Nignan, Saïbou; Barro, Mariam; Tollenaere, Charlotte, 2023, "Wild plants coverage at the borders of six rice fields in western Burkina Faso (2017)", https://doi.org/10.23708/1IPJAU, DataSuds, V1
During a project focused on rice microbial biodiversity (root microbiome and pathogens), we performed a pluriannual and multi-site survey (see https://doi.org/10.23708/8FDWIE). Because microbial species may be shared between rice and surrounding wild plants, we chose to perform a...
Plain Text - 1.9 KB - MD5: 5644f6219e18ad1902eae5ff68dbafcd
Documentation
Dataset citation and description
Tab-Separated Values - 4.7 KB - MD5: b1e93fb404e60b704b724280cca15b1a
Data
The dataset corresponds to a list of wild plant species identified in the borders of six rice fields (from three geographical zones in western Burkina Faso) during a survey performed in 2017.
MS Excel Spreadsheet - 9.4 KB - MD5: 6049d9135961dd7184c529d85ea41ed6
Data
The dataset corresponds to a list of wild plant species identified in the borders of six rice fields (from three geographical zones in western Burkina Faso) during a survey performed in 2017.
Jun 29, 2023 - LMI PathoBios
Klonowska, Agnieszka; Sondo, Moussa; Wonni, Issa; Moulin, Lionel; Barro, Mariam; Tollenaere, Charlotte; Rimbault, Isabelle, 2023, "Collection of rice-root associated bacteria sampled in Burkina Faso, 2017-2019", https://doi.org/10.23708/ANBYIH, DataSuds, V1, UNF:6:MBkWpVWqmPLZEzgWkk1bww== [fileUNF]
In Burkina Faso, studies have been initiated on the diversity of rice rhizosphere and root microbiomes using metabarcoding (Barro et al., 2022) and culturable bacteria (Sondo et al., 2023) approaches to analyse the effects of rice production systems (irrigated cropping areas vs r...
Tabular Data - 1.3 MB - 30 Variables, 1013 Observations - UNF:6:8c6k9qLm161y3wkp00DBcQ==
DataGeospatial
Supplementary table 1: results obtained for 1013 isolates (CSV format)
Plain Text - 2.8 KB - MD5: 9bbe51374fb82aac0a934bb07ee832cf
Documentation
Dataset citation and description
Tabular Data - 1.3 MB - 30 Variables, 1013 Observations - UNF:6:8c6k9qLm161y3wkp00DBcQ==
DataGeospatial
Supplementary table 1: results obtained for 1013 isolates (Excel format)
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...
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