About the RUFORUM 2010 Biennal Conference
"The 2010 RUFORUM Biennial Conference was the second in the series. The main objective of the Biennial conferences is to provide a platform for agricultural research for development stakeholders in Africa and beyond to actively exchange findings and experiences, while at the same time learning lessons towards improving performance of the agricultural sector and ultimately people’s livelihoods. The biennial conference is RUFORUM’s most comprehensive meeting for the diversity of stakeholders in agriculture. It is especially dedicated to graduate students and their supervisors, grantees in RUFORUM member universities and alumni. It is a platform for peer review, quality control, mentorship, networking and shared learning. This record contains an extended abstract accepted under the theme of Plant Breeding"
Determination of genetic structure of germplasm collections: Are traditional hierarchical clustering methods appropriate for genetic marker data?
Abstract:
We studied the performance of traditional hierarchical clustering
techniques using molecular marker data. In this study, we showed
that the cophenetic correlation coefficient is directly related to
subgroup differentiation and can thus be used as an indicator of
the presence of genetically distinct subgroups in germplasm
collections. Whereas UPGMA performed well in preserving
distances between accessions, Ward excelled in recovering
groups. Our results also showed a close similarity between clusters
obtained by Ward and by model-based cluster method
(STRUCTURE). Traditional cluster analysis can provide an easy
and effective way of determining structure in germplasm
collections using molecular marker data.
Nous avons étudié la performance des techniques traditionnelles
de classification hiérarchique en utilisant des données de marqueurs
moléculaires. Dans cette étude, nous avons montré que le
coefficient de corrélation cophénétique est directement lié à la
différenciation des sous-groupes et peut donc être utilisé comme
un indicateur de la présence de sous-groupes génétiquement
distincts dans les collections du matériel génétique. Tandis
qu’UPGMA a donné de bons résultats dans la préservation de
distances entre les accessions, Ward a excellé dans la récupération
des groupes. Nos résultats ont également montré une similitude
étroite entre les groupes obtenue par Ward et par la méthode de
groupe basée sur un modèle (STRUCTURE). L’analyse
traditionnelle de groupes peut constituer un moyen facile et
efficace de détermination de la structure dans les collections du
matériel génétique à partir des données de marqueurs moléculaires.
Language:
English
Are traditional hierarchical clustering methods appropriate for genetic marker data?
Date of publication:
2010
Country:
Region Focus:
East Africa
University/affiliation:
Collection:
RUFORUM Conferences and Workshops
Agris Subject Categories:
Agrovoc terms:
Additional keywords:
Licence conditions:
Open Access
Access restriction:
Form:
Printed resource
Publisher:
ISSN:
E_ISSN:
Edition:
Extent:
1029-1033
Notes:
