Comparison of marker- and pedigree-based methods for estimating heritability in an agroforestry population of Vitellaria paradoxa C.F. Gaertn. (shea tree)

Research Article

DOI: 10.1007/s10722-008-9328-8

Cite this article as:
Bouvet, J.M., Kelly, B., Sanou, H. et al. Genet Resour Crop Evol (2008) 55: 1291. doi:10.1007/s10722-008-9328-8

Abstract

We implemented a regression-based method between pairwise relatedness estimated from markers and phenotypic similarity to estimate heritability of traits related to leaf size and morphology in a wild tree population (Vitellaria paradoxa C.F. Gaertn.: shea tree). We then compared the results with heritability estimated with a classical pedigree-based method. We tested both approaches in an agroforestry population of this tree species, a very important one and abundant in the Sudano-Sahelian zone of Africa. Twelve microsatellite loci were used to estimate pairwise relatedness after selection of estimator coefficients based on Monte Carlo simulation. The regression-based method applied to 200 individuals did not display a significant trend with physical distance between trees for relatedness as well as for actual variance of relatedness. In consequence, estimates of narrow-sense heritability of traits related to leaf size were not significant. The pedigree-based method using a progeny test with 39 families and 15 individuals per family from the same population showed high and significant estimates of narrow-sense heritability for the same traits (h2 = 0.36–0.95), demonstrating a marked genetic variation within the population. This discrepancy between methods stresses the poor performance of the molecular marker-based method. This can be explained by the absence of fine-scale structure within the agroforestry population of shea trees, other parameters being consistent with recommended values. The regression-based method does not seem well adapted to the agroforestry tree population. New experiments in tree populations and theoretical approaches are needed to evaluate the real potential of the marker-based methods.

Keywords

Agroforestry tree speciesFine scale structureHeritabilityMicrosatellitesRelatednessVitellaria paradoxa

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.unité de recherche «diversité génétique et amélioration des espèces forestières»CIRAD, Département Systèmes BiologiquesMontpellier Cedex 34398France
  2. 2.Programme Ressources ForestièresIER, Institut d’Economie RuraleSikassoMali
  3. 3.Programme Ressources ForestièresIER, Institut d’Economie RuraleBamakoMali