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Research Project: MANAGEMENT OF GENETIC RESOURCES FOR VITIS, PRUNUS, JUGLANS, FICUS, OLEA, PISTACIA, PUNICA, DIOSPYROS, ACTINIDIA, AND MORUS

Location: National Clonal Germplasm Rep - Tree Fruit & Nut Crops & Grapes

Title: Genetic diversity, structure and differentiation in cultivated walnut (juglans regia l.)

Authors
item Aradhya, Mallikarjuna
item Woeste, K -
item Velasco, Dianne -

Submitted to: Acta Horticulturae
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: January 10, 2009
Publication Date: April 30, 2010
Repository URL: http://www.ars.usda.gov/main/site_main.htm?modecode=53-06-20-00
Citation: Aradhya, M.K., Woeste, K., Velasco, D. 2010. Genetic Diversity, Structure and Differentiation in Cultivated Walnut (Juglans regia L.). Acta Horticulturae. 861:127-132.

Interpretive Summary: An analysis of genetic structure and differentiation in cultivated walnut (Juglans regia) using 15 microsatellite loci revealed a considerable amount of genetic variation with a mild genetic structure indicating five genetic groups corresponding to the centers of diversity within the home range of walnut in Eurasia. Despite the narrow genetic differentiation among groups accounting for only 10 to 15% of the total variation, the groups differed significantly with respect to frequency and composition of alleles for different loci. Moderate to high genetic variability with mild genetic structure is found to be ideal for association genetic analysis.

Technical Abstract: An analysis of genetic structure and differentiation in cultivated walnut (Juglans regia) using 15 microsatellite loci revealed a considerable amount of genetic variation with a mild genetic structure indicating five genetic groups corresponding to the centers of diversity within the home range of walnut in Eurasia. Despite the narrow genetic differentiation among groups accounting for only 10 to 15% of the total variation, the groups differed significantly with respect to frequency and composition of alleles for different loci. Moderate to high genetic variability with mild genetic structure is found to be ideal for association genetic analysis.

   

 
Project Team
Preece, John
Aradhya, Mallikarjuna
 
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   Publications
 
Related National Programs
  Plant Genetic Resources, Genomics and Genetic Improvement (301)
 
 
Last Modified: 05/23/2013
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