A COMPUTATIONALLY EFFICIENT METHOD FOR DETERMINING SIGNIFICANCE IN INTERVAL MAPPING OF QUANTITATIVE TRAIT LOCI
نویسندگان
چکیده
منابع مشابه
Multiple interval mapping for quantitative trait loci.
A new statistical method for mapping quantitative trait loci (QTL), called multiple interval mapping (MIM), is presented. It uses multiple marker intervals simultaneously to fit multiple putative QTL directly in the model for mapping QTL. The MIM model is based on Cockerham's model for interpreting genetic parameters and the method of maximum likelihood for estimating genetic parameters. With t...
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In this study 90 individuals of recombinant inbred lines (RILs) were developed by crossing subspecies of japonica rice cultivar, ‘Nagdong’ and an indica type cultivar, ‘Cheongcheong’. These individuals were used to identify the quantitative trait loci of panicle traits using SSR markers. A genetic linkage map was constructed using one hundred fifty four simple sequence repeat ...
متن کاملQuantitative trait loci mapping of panicle traits in rice
In this study 90 individuals of recombinant inbred lines (RILs) were developed by crossing subspecies of japonica rice cultivar, ‘Nagdong’ and an indica type cultivar, ‘Cheongcheong’. These individuals were used to identify the quantitative trait loci of panicle traits using SSR markers. A genetic linkage map was constructed using one hundred fifty four simple sequence repeat ...
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The interval mapping method is widely used for the mapping of quantitative trait loci (QTLs) in segregating generations derived from crosses between inbred lines. The efficiency of detecting and the accuracy of mapping multiple QTLs by using genetic markers are much increased by employing multiple QTL models instead of the single QTL models (and no QTL models) used in interval mapping. However,...
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Assessing genome-wide statistical significance is an important and difficult problem in multipoint linkage analysis. Due to multiple tests on the same genome, the usual pointwise significance level based on the chi-square approximation is inappropriate. Permutation is widely used to determine genome-wide significance. Theoretical approximations are available for simple experimental crosses. In ...
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ژورنال
عنوان ژورنال: Conference on Applied Statistics in Agriculture
سال: 1999
ISSN: 2475-7772
DOI: 10.4148/2475-7772.1265