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《JOURNAL OF FUJIAN AGRICULTURAL UNIVERSITY》 1996-04
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Composite Interval Mapping of Quantitative Trait Loci Based on Least Squares Estimation

Wu Weiren Li Weiming Lu Haoran (College of Crop Science,FAU,Fuzhou 350002)  
An approach of composite interval mapping (CIM) of quantitative trait loci (QTLs) based on least squares estimation is described in the present paper. The method remains the basic feature of CIM, but is much simpler and quicker than the maximum likelihood based approach . It does not need special assumptions on trait distribution, so it is widely applicable. By eliminating redundant markers from the models, numerical computation can be speeded up further. That makes the use of permutation test feasible. Eliminating redundant markers can also increase the power of QTL mapping and improve the estimates of QTL effect. A practical procedure of composite interval mapping is suggested.
【CateGory Index】: Q384
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