[PDF] Top 20 A random model approach to interval mapping of quantitative trait loci.

... T HERE are two primary types of data used for map- ping a quantitative trait locus (QTL): data derived from inbred lines that include back cross, F2 or more derived p[r] ... See full document

... (REG) interval mapping in the analysis of quantitative trait loci (QTL) are investigated analytically and numerically by ...an interval, interval size, difference between ... See full document

... Interval mapping of quantitative trait loci (QTL) for resistance to late blight, height, and maturity was performed on a tetraploid full-sib family of potato comprising 227 clones from ... See full document

... Mapping quantitative trait loci (QTL) for complex binary traits is more challenging than for normally distributed traits due to the nonlinear relationship between the observed phenotype and ... See full document

... for mapping quantitative trait loci (QTL), called multiple interval mapping (MIM), is ...the model for mapping QTL. The MIM model is based on Cockerham’s ... See full document

... also Quantitative genetic models considering the triploid undergoes several mitotic divisions to become the endo- nature of endosperm traits for studying the underlying ...endosperm trait into various tive ... See full document

... in interval mapping because it provides significance tests that are meaningful, yet not overly stringent, such that a more complete picture of QTL is ... See full document

... Results are shown for the linked polygenic model with heritability equal to 0.25 (shaded cir- cles) or 0.70 (shaded squares) and for the linked major gene model with heritability equal t[r] ... See full document

... different pairs of inbred lines. Each inbred line was derived from a different outbred population that had undergone long-term selection for either long or short life span. Microsatellite loci were used as genetic ... See full document

... Starting from the single Q T L model using all selected markers, which markers still may be dropped (those markers previously explained the effect of the putative QTL) and[r] ... See full document

... QTL interval mapping in autotetraploid species for a full-sib family derived by crossing two ...the trait values to the QTL genotype ...this approach and to investigate the effects of the ... See full document

... Besides of increased power of the statisti- cal test and higher precision of estimation of the ge- netic parameters, the proposed approach allows for an integral evaluati[r] ... See full document

... Table 4 Quantitative trait loci for domestication related and agronomic traits identified by composite interval mapping (CIM) method.. Table 5 Flora l scent composition of the two parent[r] ... See full document

... spaced in the genome or those preidentified markers plete-data partial-likelihood score function given the that explain most of the genetic variation in the genome. observed data. The solution to this conditional ... See full document

... lower mapping precision. For the 10-trait analysis, the standard deviation of the estimated QTL position (SL) increased from ...in mapping precision can be recovered by a composite interval ... See full document

... There will be, however, some interference on testing and estimation between those QTLs which are located in adjacent marker intervals when using this composite interval mapping met[r] ... See full document

... Parametric interval mapping allows efficient de- tection and localization of QTLs for normally distrib uted traits, while keeping the false positive rate low through the[r] ... See full document

... fine mapping than the corresponding unphased ...a quantitative trait locus (QTL) is located in a chromosome ...both trait value and genotypes at the markers are ...sociation mapping of ... See full document

... More- over, our approach uses data imputation via the Gibbs sampler (to generate one possible genotype in stochas- tic EM and multiple genotypes in Monte Carlo EM) and with these “known”[r] ... See full document

... to model G. A priori, the unstructured model seems most appropriate, especially since there is tween these two, M82 had a better fit than M81 if fitted only one cofactor so that parsimony is not a pressing ... See full document