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Comparison of Maximum Likelihood Estimation Approach and Regression Approach in Detecting Quantitative Trait Lco Using RAPD MarkersAuthor(s): Changren Weng; Thomas L. Kubisiak; C. Dana Nelson; James P. Geaghan; Michael Stine
Source: Proceedings of the Southern Forest Tree Improvement Conference, New Orleans, Louisiana, USA, July 11-14, 1999
Publication Series: Miscellaneous Publication
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DescriptionSingle 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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CitationWeng, 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
KeywordsQTLs, random amplified polymorphic DNA, Pinus palustris, Pinus elliottii, maximum likelihood estimation, regression
- Mapping quantitative trait loci controlling early growth in a (longleaf pine × slash pine) × slash pine BC1 family
- RAPD linkage mapping in a longleaf pine × slash pine F1 family
- Comparing morphology and physiology of southeastern US Pinus seedlings: implications for adaptation to surface fire regimes
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