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Then, for each LG, marker order and genetic distance were inferred by regression mapping using Kosambi's mapping function [ 50] to account for crossover interference.
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Sex-determining QTL were identified by Haley-Knott regression mapping using GridQTL [ 34, 35].
The positions of 225 markers, as obtained by regression mapping, are presented here.
QTL mapping was carried out by interval mapping using marker regression on GeneNetwork's WebQTL module [ 57].
Here we describe a method to monitor changes in habitat types by producing sequential maps based on point information followed by mapping using a multinomial logit regression model with abiotic variables of which maps are available as predictors.
Regression mapping was used to finalize the map order of each linkage group and genetic distances were determined using the Kosambi mapping function.
Initially, interval mapping using a least-squares regression method (Map Manager QTXb20) was performed on 236 F2 hybrids using 60 Mit markers (2 to 4 markers per chromosome).
The default analysis performs a QTL mapping using the Haley-Knott regression with a mapping step size of 5 cM.
Grapes et al. [ 31] studied the precision of QTL mapping using the IBD and regression methods.
Map positions from the third round of regression mapping were used.
The regression mapping was used as the mapping algorithm, and the genetic distances were calculated based on Kosambi's mapping function.
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