Influence of Incomplete Linkage Between Marked and Functional Gene on Estimating Gene Effect by Molecular Marker Regression Model
In the past decades, regression approach was a main gene mapping method. For avoiding the QTL mapping to estimate the gene effects, the molecular marker regression was used to research the quantitative trait controlled by polygene under the condition of complete linkage between gene locus and marker. For the utilization of this method, the recombination influence on precision and accuracy estimating gene effect were researched. The results showed the recombination rate between a marker and its locus could affect the precision and accuracy estimating gene effect and alleles interaction effects. The precision and accuracy were reduced along with the increasing of the recombination rate between a marker and its locus, the larger the recombination rate was, the smaller the precision and accuracy were. The precision and accuracy estimating for one gene effect and alleles interaction effects could only be affected by its own recombination rate between its own marker and its locus, not by other genes recombination rate. These suggested that it was need to find a marker which was tightly or closely linked with genes for estimating the gene effect and alleles interaction effects precisely, especially for a gene locus with a large alleles interaction coefficient and relative gene effects.
regression equation orthogonal layout molecular marker quantitative trait gene effect gene locus animal breeding
LI Xue-Bin YU Xiao-Ling LI Bin
Henan Institute of Science and Technology Xinxiang 453003, P.R.China
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
1077-1080
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）