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)
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 77 Results
Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Mar 11, 2025 - LMI PathoBios
Guigma, Abdoul Kader; Saengram, Phonsiri; Bangratz, Martine; Kassankogno, Itolou Abalo; Tollenaere, Charlotte; Billard, Estelle, 2025, "Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)", https://doi.org/10.23708/QB8BOO, DataSuds, V1, UNF:6:8ljQXziWNW5W0EiHZ9s4Cg== [fileUNF]
Co-occurrence of multiple diseases and co-infection of individual plants by various pathogens have potential epidemiological and evolutionary implications. However detailed epidemiolocal assessment involving multiple diseases remain rare, especially considering pathogens from dif...
Data_Coinfection_RYMV_Xo_BF_Methodology_v5.pdf
Data_Coinfection_RYMV_Xo_BF_Methodology_v5.pdf
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Adobe PDF - 781.5 KB - MD5: 95c7d911e228571136e3c9714ec219fe
Documentation
List_EVCOPAR_field_data_dictionary.tab
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Tabular Data - 822 B - 2 Variables, 9 Observations - UNF:6:L84yCWlkRv7HHl0bdwFInQ==
Documentation
List_EVCOPAR_field_dataset.tab
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Tabular Data - 1.5 KB - 10 Variables, 26 Observations - UNF:6:OTC2TskyC2R/wV7kFG+Sng==
Data
List_EVCOPAR_quadrat_data_dictionary.tab
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Tabular Data - 736 B - 2 Variables, 8 Observations - UNF:6:HUOjDVDbE51q1hCiPx/pVw==
Documentation
List_EVCOPAR_quadrat_dataset.tab
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Tabular Data - 33.3 KB - 9 Variables, 720 Observations - UNF:6:75yR8ostkW8JH4T5fFN93A==
Data
List_EVCOPAR_samples_data_dictionary.tab
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Tabular Data - 997 B - 2 Variables, 10 Observations - UNF:6:2xSCXhCrXhRhzAApfDZoYg==
Documentation
List_EVCOPAR_samples_dataset.tab
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Tabular Data - 108.5 KB - 11 Variables, 1666 Observations - UNF:6:LZSaeoeEqahgk8uFlzsQMw==
Data
ReadMe.txt
Mar 11, 2025 - Symptom evaluation, sampling, and molecular detection for two rice diseases (rice yellow mottle and Bacterial leaf streak) in western Burkina Faso (2021-2022)
Plain Text - 1.4 KB - MD5: e8e5b8a669950ba5109bb08bd1c3adf3
Documentation
Dataset citation, description and terms of use
Supplementary information for: The rice ILI2 locus is a bidirectional target of the African Xanthomonas oryzae pv. oryzae major Transcription Activator-Like Effector TalC but does not contribute to disease susceptibility
Supplementary information for: The rice ILI2 locus is a bidirectional target of the African Xanthomonas oryzae pv. oryzae major Transcription Activator-Like Effector TalC but does not contribute to disease susceptibility
Nov 26, 2024
Doucouré, Hinda; Auguy, Florence; Blanvillain-Baufumé, Servane; Fabre, Sandrine; Gabriel, Marc; Thomas, Emilie; Dambreville, Fleur; Sciallano, Coline; Szurek, Boris; Koita, Ousmane; Verdier, Valérie; Cunnac, Sebastien, 2022, "Supplementary information for: The rice ILI2 locus is a bidirectional target of the African Xanthomonas oryzae pv. oryzae major Transcription Activator-Like Effector TalC but does not contribute to disease susceptibility", https://doi.org/10.23708/XBTRUV, DataSuds, V2, UNF:6:jdkGW/8VhWIPR5jUnVyxTw== [fileUNF]
This dataset contains additional supporting information related to the discovery of an alternative transcriptional target locus of the Xanthomonas oryzae pv. oryzae (Xoo) TalC effector in the rice genome as described in a manuscript submitted for publication. Xoo strains that cau...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.