RESUMEN
Usually, mapping studies in potato are performed with segregating populations from crosses between highly heterozygous diploid or tetraploid parents. These studies are hampered by a high level of genetic background noise due to the numerous segregating alleles, with a maximum of eight per locus. In the present study, we aimed to increase the mapping efficiency by using progenies from diploid inbred populations in which at most two alleles segregate. Selfed progenies were generated from a cross between S. tuberosum (D2; a highly heterozygous diploid) and S. chacoense (DS; a homozygous diploid clone) containing the self-incompatibility overcoming S locus inhibitor (Sli-gene). The Sli-gene enables self-pollination and the generation of selfed progenies. One F2 population was used to map several quality traits, such as tuber shape, flesh and skin color. Quantitative trait loci were identified for almost all traits under investigation. The identified loci partially coincided with known mapped loci and partially identified new loci. Nine F3 populations were used to validate the QTLs and monitor the overall increase in the homozygosity level.
RESUMEN
At the Wageningen Laboratory of Plant Breeding, a software package has been developed to query a simple structured database with variety pedigree data. The package, called Peditree, creates a tree-shaped representation of pedigree information and has several visualization and lookup options. Estimates of inbreeding coefficient within a pedigree or coefficients of coancestry among pedigrees can be obtained. Furthermore trait data--if available--can be linked, displayed within the pedigree tree, and used to highlight pedigree entries that comply with set criteria.