Lack of concordance between genetic diversity estimates at the molecular and quantitative-trait levels
By M. Pfrender, K. Spitze, Justin Hicks, Kendall K. Morgan, L. Latta, Michael Lynch. Conservation Genetics, 2000
83 citations recorded by the source corpus.
Subfields: Genetics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/7facd220178cac79fe762a793fd41814eecb7dad
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In Genetics
- R. Vaillancourt
- Dorothy Steane
- Natalie Conod
- Rebecca C. Jones
- Katrina M. Dlugosch
- N. Emery
- I. Parker
- P. Gepts
In Nature and Landscape Conservation
- R. Vaillancourt
- Katrina M. Dlugosch
- N. Emery
- I. Parker
- K. Kettenring
- Julie R. Etterson
- Brad M. Potts
Citations in the corpus
- Founding events in species invasions: genetic variation, adaptive evolution, and the role of multiple introductions (2008, background): “This decoupling can make molecular markers poor predictors (typically underestimates) of evolutionary potential in important fitness-related traits (Barrett & Richardson 1986; Pfrender et al. 2000; Merilä & Crnokrak 2001; Reed & Frankham 2001; McKay & Latta 2002), though few studies have adequately ”
- What is the fitness outcome of crossing unrelated fish populations? A meta-analysis and an evaluation of future research directions (2007, unknown): “Experimental design should be based on quantitative genetic principles that permit estimation of a genetic distance based on quantitative traits, Qst ( Pfrender et al. 2000 ), which may be a more meaningful evolutionary distance.”
- Evolution of plant materials for ecological restoration: insights from the applied and basic literature (2017, background): “Neutral molecular variation is not directly correlated with variation in traits that undergo selection (for metaanalyses see Pfrender et al. 2000; Reed & Frankham 2001).”
- A comparative analysis of population structure of a forest tree, Eucalyptus globulus (Myrtaceae), using microsatellite markers and quantitative traits (2006, background): “There is often a poor correlation between molecular marker variation and quantitative variation for adaptively important traits (Bekessy et al. 2003; Pfrender 2000; Reed and Frankham 2001).”