Data on the Genetic Diversity Study of the African Olive (Canarium schweinfurthii, Burseraceae) in Africa for Climate Change Adaptation

Version 1.0
Data on the Genetic Diversity Study of the African Olive (Canarium schweinfurthii, Burseraceae) in Africa for Climate Change Adaptation
Adji, Beda-Innocent; Chakocha Ngandjui, Armel Franklin; Guibien Cléophas Zerbo; Marie Louise Avana Tientcheu; Hardy, Olivier; Mariac, Cédric; Duminil, Jérôme, 2024, "Data on the Genetic Diversity Study of the African Olive (Canarium schweinfurthii, Burseraceae) in Africa for Climate Change Adaptation", https://doi.org/10.23708/GWRGBC, DataSuds, V1, UNF:6:j8ybPdLmWqOvh7eHYFEd2A== [fileUNF]
Learn about Data Citation Standards.
Dataset Metrics
18 Downloads
Description

In Africa, the decline of numerous tree species due to rapid population growth, deforestation, and climate change is a major concern. Several native multi-purpose agroforestry species are at risk of losing genetic diversity, which may lead to their extinction. This is the case for Canarium schweinfurthii of the Burseraceae family, one of the most overexploited species for its multiple uses in West and Central Africa.

It is essential to develop sustainable conservation strategies for this species, focusing particularly on the sustainable management of its genetic resources. The aim of the study is to contribute to the conservation and sustainable management of Canarium schweinfurthii.

Data were collected from trees in various phytogeographical zones in Africa to document and map the spatial distribution of its genetic diversity for sustainable management.

These data include information on:

  1. the geographic coordinates, dendrometry, ethnobotany, and type of plant material (leaf or cambium) collected from tree individuals for the extraction of genetic material (DNA);
  2. the genetic sequences (base arrangement and orientation) of microsatellite markers developed through QDD software from a sample named "CS19";
  3. the genetic sequences of microsatellite markers developed through QDD software from a sample named "CS45";
  4. the genetic sequences of 13 polymorphic microsatellite markers selected and used for the study of genetic structure;
  5. the amplification data of these markers on 98 selected individuals.

Below you will find documents and links to external repository content:

  1. Script PERL;
  2. PERL script for pairing;

Applications for access and research permits (ABS Agreement of the Nagoya Protocol) have been submitted to the Nagoya focal points of the countries concerned by the authors from the various countries and are in the process of being obtained.

(2024-06-25)
Subject Agricultural Sciences
Keyword Canarium schweinfurthii Engl., Burseraceae, African Olive, Tropical Fruit Tree, Genetic Diversity, Microsatellite Markers, Non-Timber Forest Product
Related Publication Beda Innocent ADJI, Marie Honorine Sène, Armel Franklin Chakocha et al. (2024) Microsatellite Markers Establishment for African Elemi (Canarium schweinfurthii Engl., Burseraceae), a Africa Prominent Wild Fruit-Bearing Forest Tree. PREPRINT (Version 1) available at Research Square doi: 10.21203/rs.3.rs-5328401/v1
Notes Data Type: Experimental data
License/Data Use Agreement

Custom Dataset Terms

Table
Tree
Filter by
1 to 6 of 6 Files
RainForStory_project_1.tab
RainForStory/Tabular Data - 149.9 KB
Published Sep 27, 2024
6 Downloads
16 Variables, 743 Observations UNF:6:K1riTjZfZ2JVAxPfqWcO3g==
Base de donnée (localité-coordonnées GPS-enquête ethno-dendrométrie-matériel végétal) pour étude de la diversité génétique de Canarium en Afrique and Data dictionary
DataDocumentation
RainForStory_project_2
RainForStory/MS Excel Spreadsheet - 20.8 MB
Published Sep 27, 2024
2 Downloads
MD5: 71adfcaf96c326c18b9e34b238205f38
Global SSR markers sequences result by QDD software for individual CS19_ARM325 in Canarium schweinfurthii and Data dictionary
DataDocumentation
RainForStory_project_3
RainForStory/MS Excel Spreadsheet - 25.2 MB
Published Sep 27, 2024
2 Downloads
MD5: 3acb3e2d24fa603b354e1636eb35c332
Global SSR markers sequences result by QDD software for individual CS45_ARM326 in Canarium schweinfurthii and Data dictionary
DataDocumentation
RainForStory_project_4.tab
RainForStory/Tabular Data - 10.6 KB
Published Sep 27, 2024
2 Downloads
33 Variables, 13 Observations UNF:6:cv2l+MtRlI/T94YdUbN/Yg==
Canarium schweinfurthii 13 SSR markers sequences selected and Data dictionary
DataDocumentation
RainForStory_project_5.tab
RainForStory/Tabular Data - 17.0 KB
Published Sep 27, 2024
2 Downloads
17 Variables, 98 Observations UNF:6:TgrHkODwYLaJymMpkX/atg==
Datta of 13 SSR markers amplication on 98 individuals selected from geneious software and Data dictionary
DataDocumentation
ReadMe.txt
RainForStory/Plain Text - 2.3 KB
Published Sep 27, 2024
4 Downloads
MD5: a985203e592ecc62e1202bf630a27192
Dataset citation, description and terms of use
Documentation
Edit File

This file has already been deleted (or replaced) in the current version. It may not be edited.

Restrict Access

Restricting limits access to published files. People who want to use the restricted files can request access by default. If you disable request access, you must add information about access to the Terms of Access field.

Learn about restricting files and dataset access in the User Guide.

Enable access request
You must enable request access or add terms of access to restrict file access.
Save Changes
Edit Embargo

The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.
Delete Files

The file will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Select File(s)

Please select one or more files.

Share Dataset

Share this dataset on your favorite social media networks.

Dataset Citations

Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the User Guide.

Sorry, no citations were found.
Restricted Files Selected

The selected file(s) may not be downloaded because you have not been granted access.

Download Options

The files selected are too large to download as a ZIP.

You can select individual files that are below the 300.0 MB download limit from the files table, or use the Data Access API for programmatic access to the files.

Select File(s)

Please select a file or files to be downloaded.

Restricted Files Selected

The restricted file(s) selected may not be downloaded because you have not been granted access.

Click Continue to download the files you have access to download.

Delete Dataset

Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.

Delete Draft Version

Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.

Unpublished Dataset Private URL

Private URL can only be used with unpublished versions of datasets.

Unpublished Dataset Private URL

Are you sure you want to disable the Private URL? If you have shared the Private URL with others they will no longer be able to use it to access your unpublished dataset.

Delete Files

The file(s) will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Compute

This dataset contains restricted files you may not compute on because you have not been granted access.

Deaccession Dataset

Are you sure you want to deaccession? The selected version(s) will no longer be viewable by the public.

Deaccession Dataset

Are you sure you want to deaccession this dataset? It will no longer be viewable by the public.

Version Differences Details

Please select two versions to view the differences.

Version Differences Details
 
Version:
Last Updated:
Version:
Last Updated:
Select File(s)

Please select a file or files for access request.

Select File(s)

Embargoed files cannot be accessed. Please select an unembargoed file or files for your access request.

Edit Tags

Select existing file tags or create new tags to describe your files. Each file can have more than one tag.

Request Access

  You need to Log In to request access.

Dataset Terms

This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Licence Creative Commons
Ce(tte) œuvre est mise à disposition selon les termes de la Licence Creative Commons Attribution 4.0 International.
Preview Guestbook

Upon downloading files the guestbook asks for the following information.

Account Information

Package File Download

Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL

https://dataverse.ird.fr/api/access/datafile/

Request Access

Please confirm and/or complete the information needed below in order to request access to files in this dataset.

Compute Batch
Clear Batch
Dataset Persistent Identifier Change Compute Batch
Compute Batch
Submit for Review

You will not be able to make changes to this dataset while it is in review.

Publish Dataset

Are you sure you want to republish this dataset?

Select if this is a minor or major version update.

Publish Dataset

This dataset cannot be published until DYNADIV Team is published by its administrator.

Publish Dataset

This dataset cannot be published until DYNADIV Team and UMR DIADE are published.

Return to Author

Return this dataset to contributor for modification.