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Quantitative trait loci for growth trajectories in Populus

Published online by Cambridge University Press:  10 March 2003

RONGLING WU ,
CHANG-XING MA ,
MARK C. K. YANG ,
MYRON CHANG ,
RAMON C. LITTELL ,
UPASANA SANTRA ,
SAMUEL S. WU ,
TONGMING YIN ,
MINREN HUANG  and
MINXIU WANG
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RONGLING WU
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
CHANG-XING MA
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
MARK C. K. YANG
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
MYRON CHANG
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
RAMON C. LITTELL
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
UPASANA SANTRA
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
SAMUEL S. WU
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA
TONGMING YIN
Affiliation:
The Key National Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jinagsu 210037 People's Republic of China
MINREN HUANG
Affiliation:
The Key National Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jinagsu 210037 People's Republic of China
MINXIU WANG
Affiliation:
The Key National Laboratory of Forest Genetics and Gene Engineering, Nanjing Forestry University, Nanjing, Jinagsu 210037 People's Republic of China
GEORGE CASELLA
Affiliation:
Department of Statistics, University of Florida, Gainesville, FL 32611, USA

Abstract

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Growth trajectories are a biological process important to plant and animal breeding, and to evolutionary genetic studies. In this article, we report the detection of quantitative trait loci (QTLs) responsible for growth trajectories in poplars that are used as a model system for the study of forest biology. These QTLs were localized on a genetic linkage map of polymorphic markers using a statistical mapping method incorporating growth-curve models. The effects of the QTLs on growth are described as a function of age, so that age-specific changes in QTL effects can be readily projected throughout the entire growth process. The QTLs identified display increased effects on growth when trees age, yet the timing of QTL activation is earlier for stem height than diameter, which is consistent with the ecological viewpoint of canopy competition. The implications of the results for breeding and silviculture are discussed.

Type
Research Article
Information
Genetics Research , Volume 81 , Issue 1 , February 2003 , pp. 51 - 64
Copyright
© 2003 Cambridge University Press