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The Journal of Heredity 2001:92(5)
© 2001 The American Genetic Association 92:421-426

Heritability of Phenolics in Quercus laevis Inferred Using Molecular Markers

R. Klaper, K. Ritland, T. A. Mousseau, and M. D. Hunter

From the Department of Entomology, 4112 Plant Sciences, University of Maryland, College Park, MD 20742 (Klaper), Department of Forest Sciences, University of British Columbia, Vancouver, British Columbia, Canada (Ritland), Department of Biological Sciences, University of South Carolina, Columbia, South Carolina (Mousseau), and the Institute of Ecology, University of Georgia, Athens, Georgia (Hunter).

Address correspondence to Dr. R. Klaper at the address above or e-mail: rklaper{at}wam.umd.edu.

Studies of quantitative inheritance of phenotypes do not generally encompass the range of environmental conditions to which a population may be exposed in a natural setting and are rarely conducted on long-lived species due to the time required for traditional crossing experiments. We used a marker-based method to estimate relatedness with microsatellite markers in a natural population of a long-lived oak, then used this inferred relatedness to examine quantitative genetic variation in the concentration of foliar phenolics. Estimating heritability using this method requires both significant relatedness and variance in relatedness over distance. However, this population did not show significant variance of relatedness, so only the presence of heritability, and its ranking among traits and environments, could be estimated. Seven foliar phenolics showed a significant relationship between phenotypic similarity and relatedness. The significance of this relationship varied among individual phenolic compounds, as well as by season. Genetic factors appeared to have a more measurable influence on the production of secondary compounds early in the season. After leaf expansion, covariance of relatedness and phenotypic variance appear to become less significant. Therefore heritability may vary seasonally for these traits.


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