Plant Genetic Resources

Research Article

Correspondence between genetic structure and farmers' taxonomy – a case study from dry-season sorghum landraces in northern Cameroon

Clelia Solera1 c1, Abdoul-Aziz Saidoua1a2, Tuong Vi Cao Hamadoua3, Marco Pautassoa4a5, Jean Wenceliusa6 and Hélène H. I. Jolya1

a1 CIRAD, UMR CEFE, Campus du CNRS, 1919 route de Mende, 34293 Montpellier cedex 5, France

a2 Institut Supérieur du Sahel, Université de Maroua, BP 46, Maroua, Cameroon

a3 CIRAD, UMR AGAP, Campus Agropolis, 34398 Montpellier, France

a4 UMR 5175 CNRS CEFE, Campus CNRS, 1919 route de Mende, 34293 Montpellier, France

a5 FRB, Centre de Synthèse et d'Analyse sur la Biodiversité (CESAB), 13857 Aix-en-Provence, France

a6 CNRS, UMR LESC, Laboratoire d'Ethnologie et de Sociologie Comparative, 21 allée de l'Université, 92023 Nanterre, France


The study of the genetic structure of cultivated plant populations maintained by farmers is of great importance for evolutionary and conservation biology. Such studies help understand the bases of crop evolution and conservation in relation to farmers' practices. In this study, we assessed the genetic structure underlying landrace diversity of dry-season sorghum. This crop constitutes a historical model of innovation developed by farmers to extend sorghum cultivation to the dry season. Two types of dry-season sorghum are cultivated. We aimed to assess the link between farmers' taxonomy and molecular genetic structure. We collected both types of dry-season sorghum in two villages of northern Cameroon which represented 20 landraces. These landraces were genotyped using eight polymorphic microsatellite markers. This study compared two clustering methods: a Bayesian method (STRUCTURE) which is based on explicit genetic assumptions and the discriminant analysis of principal component method. The latter, more recently proposed, is based on the combination of principal component analysis and discriminant analysis. We noticed a general congruence between these two methods. We also used both methods to infer the genetic structure of our sample. Our results showed strong genetic structuring of the landraces, with K= 14 genetic clusters. We then analysed the fit between farmers' taxonomy and genetic structure. The data suggested that each type and each landrace corresponds to a given genetic entity. This pattern was robust across both villages, despite differences in cultural practices.

(Received July 23 2012)

(Accepted September 29 2012)

(Online publication November 29 2012)

Key Words:

  • farmer's practices;
  • genetic diversity;
  • multivariate analysis;
  • simple sequence repeat;
  • sorghum;
  • structure inference


c1 Corresponding author. E-mail:

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