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Theoretical and Applied Genetics

, Volume 111, Issue 4, pp 640–650 | Cite as

Molecular diversity of local Norwegian meadow fescue (Festuca pratensis Huds.) populations and Nordic cultivars—consequences for management and utilisation

  • S. Fjellheim
  • O. A. RognliEmail author
Original Paper

Abstract

Genetic diversity and relatedness were studied in 30 Norwegian local populations of meadow fescue (Festuca pratensis Huds.) using amplified fragment length polymorphism (AFLP) markers. The populations were also compared with 13 Nordic meadow fescue cultivars in order to analyse the distribution of variation in local populations and cultivars and to elucidate relationships between local populations and cultivars. Analysis of molecular variance (amova) analysis showed that most of the variation was present within populations and that little variation was found between local populations and cultivars. Separate amova analyses of local populations and cultivars revealed a higher level of variation within registered cultivars than within local populations. A cluster analysis based on corrected average pairwise differences between populations showed that the populations could be divided into three clusters, of which one also contained the cultivars. These results were supported by principal coordinates analysis. The results indicate that the Norwegian meadow fescue has a narrow genetic basis and that the local populations in Norway can be divided into three groups following the most probable routes of introduction of the species into Norway. The inland populations are closely related to the cultivars and have most probably been established as a result of migration from sown meadows. The western and southern populations probably originate from human activity—for example, trade—to the coastal western and northern parts of the country and to the central parts of southern Norway.

Keywords

Amplify Fragment Length Polymorphism Amplify Fragment Length Polymorphism Marker Southern Population Amplify Fragment Length Polymorphism Analysis Genetic Diversity Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This investigation was supported by a grant from the NGB (project no. AG4 19). The authors thank Zanina Grieg, Vibeke Alm and Ingvild Marum for their excellent technical assistance, Anders Bryn for help with creating the sample map and Robert Koebner, Siri Grønnerød and Reidar Elven for their helpful comments on the manuscript.

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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Department of Chemistry, Biotechnology and Food ScienceNorwegian University of Life SciencesÅsNorway
  2. 2.Department of Plant and Environmental SciencesNorwegian University of Life SciencesÅsNorway

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