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

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DataCite Commons2024-11-04 更新2025-04-16 收录
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https://dataverse.ird.fr/citation?persistentId=doi:10.23708/GWRGBC
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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: the geographic coordinates, dendrometry, ethnobotany, and type of plant material (leaf or cambium) collected from tree individuals for the extraction of genetic material (DNA); the genetic sequences (base arrangement and orientation) of microsatellite markers developed through QDD software from a sample named "CS19"; the genetic sequences of microsatellite markers developed through QDD software from a sample named "CS45"; the genetic sequences of 13 polymorphic microsatellite markers selected and used for the study of genetic structure; the amplification data of these markers on 98 selected individuals. Below you will find documents and links to external repository content: Script PERL; 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.
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DataSuds
创建时间:
2024-06-24
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