The scanqtl function, while completely flexible and so suitable for most purposes, is rather cumbersome to use. Our most important additions are the functions addqtl, to scan for a single QTL to be added to a multiple-QTL model, and addpair, to scan for a pair of QTL to be added to a multiple-QTL model. The output of these functions is of the forms produced by scanone and scantwo, respectively,...

Variation in vein position and wing shape of Drosophila melanogaster depends on many genes. In the following, we report the results of a QTL analysis of wing shape in D. melanogaster. We identified QTL responsible for natural variation for wing shape and analyzed their interactions with developmental genetic signaling pathways important for vein positioning. The QTL analysis indicated that the ...

The usual analysis of genotype × environment interaction (G × E) is based on the linear regression of genotypic performance on environmental changes (e.g., classic stability analysis). This linear model may often lead to lumping together of the non-linear responses to the whole range of environmental changes from suboptimal and super optimal conditions, thereby lowering the power of detecting G...

A starting point . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 add.cim.covar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 add.threshold . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 addcovarint . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 addint . ...

An approach is presented here for quantitative trait loci (QTL) mapping analysis that allows for QTL x environment (E) interaction across multiple environments, without necessarily increasing the number of parameters. The main distinction of the proposed model is in the chosen way of approximation of the dependence of putative QTL effects on environmental states. We hypothesize that environment...