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    Author(s): Changren Weng; Thomas L. Kubisiak; C. Dana Nelson; James P. Geaghan; Michael Stine
    Date: 1999
    Source: Proceedings of the Southern Forest Tree Improvement Conference, New Orleans, Louisiana, USA, July 11-14, 1999
    Publication Series: Miscellaneous Publication
    PDF: Download Publication  (282 KB)


    Single marker regression and single marker maximum likelihood estimation were tied to detect quantitative trait loci (QTLs) controlling the early height growth of longleaf pine and slash pine using a ((longleaf pine x slash pine) x slash pine) BC, population consisting of 83 progeny. Maximum likelihood estimation was found to be more power than regression and could also estimate the distance between markers and QTLs. Test statistic for the relationship between simple regression and maximum likelihood estimation is introduced. A total of four major QTLs linked to random amplified polymorphic. DNA (R4PD) markers were detected explaining 19.7%, 10.7%, 12.8%, and 9.9% total variance of total height. Multiple regression analysis indicated that these four QTLs explained about 43.2% of the total variance of early height growth.

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    Weng, Changren; Kubisiak, Thomas L.; Nelson, C. Dana; Geaghan, James P.; Stine, Michael. 1999. Comparison of Maximum Likelihood Estimation Approach and Regression Approach in Detecting Quantitative Trait Lco Using RAPD Markers. Proceedings of the Southern Forest Tree Improvement Conference, New Orleans, Louisiana, USA, July 11-14, 1999


    QTLs, random amplified polymorphic DNA, Pinus palustris, Pinus elliottii, maximum likelihood estimation, regression

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