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A polynomial likelihood is constructed for the marker data of a sex (s) to estimate and.
RR, YL and MNA isolated DNA samples and generated the PCR marker data of mapping populations.
The TE-based marker data of 99 accessions of Setaria were also analyzed for the genetic structure.
The allele frequencies used to construct the G matrix were calculated from the current marker data of the genotyped animals.
Therefore, AFLP molecular marker data of the RIL population were used in a PCA analysis to select the two genetically most distant groups (Genetic GPs).
Chromosome numbers and orientation could then be determined on the basis of the PCR-based marker data of the previous sunflower consensus map.
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To examine the impact of imputing missing marker data on the accuracy of prediction of genomic selection, we simulated a scenario for a complex trait.
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees.
We used the DARwin5 program [ 24, 25] to undertake a factorial analysis of the marker data for the whole set of accessions.
In relationship testing the aim is to determine the most probable pedigree structure given genetic marker data for a set of persons.
These studies relied mainly on SSR marker data for the preparation of genetic maps and locating QTL on chromosomes.
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