Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Genetic fingerprinting using AFLP cannot distinguish traditionally classified baobab morphotypes
Agroforestry Systems, Volume 75, No. 2, Year 2009
Notification
URL copied to clipboard!
Description
Baobab (Adansonia digitata L.) is one of the predominant tree species in West African agroforestry systems. A local morphological classification system is used by farmers, identifying trees with desired or undesired combinations of traits. This study evaluates the genetic significance of these morphotypes by comparing local identification with AFLP marker information. Eight morphotypes were recognized by seven ethnic groups from Benin, Ghana and Senegal, among 182 sampled baobab trees. Five primer pairs were used for DNA fingerprinting, resulting in a total of 254 scored bands, of which between 94.1% and 100% was polymorphic within morphotypes. Generally, genetic fingerprinting did not correlate with the traditional morphological identification of Adansonia digitata. Probably, AFLP markers are not directly linked to the differences in phenotype or the traits used for the traditional classification are largely dependent on environmental factors. Since no genetic differentiation is found between the morphotypes, a morphotype-based approach in the collection of genetic variation for conservation programs is not advisable. © 2008 Springer Science+Business Media B.V.
Authors & Co-Authors
Assogbadjo, Achille Ephrem
Benin, Cotonou
University of Abomey-calavi
Kyndt, Tina
Belgium, Ghent
Universiteit Gent
Chadaré, Flora Josiane
Benin, Cotonou
University of Abomey-calavi
Sinsin, Brice Augustin
Benin, Cotonou
University of Abomey-calavi
Gheysen, Godelieve D.R.
Belgium, Ghent
Universiteit Gent
Eyog-Matig, Oscar
Italy, Rome
Bioversity International
Van-Damme, Patrick L.J.
Belgium, Ghent
Universiteit Gent
Statistics
Citations: 55
Authors: 7
Affiliations: 3
Identifiers
Doi:
10.1007/s10457-008-9157-y
ISSN:
01674366
Research Areas
Genetics And Genomics
Study Locations
Benin
Ghana
Senegal