2018
DOI: 10.1007/s10681-018-2191-6
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QTL mapping in diploid potato by using selfed progenies of the cross S. tuberosum × S. chacoense

Abstract: 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. tuber… Show more

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Cited by 28 publications
(30 citation statements)
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“…In this study, we develop methodology for QTL detection in pedigreed breeding populations, focusing on shallow pedigrees, derived by few possibly outbred founders. To that end, we will use a population described by Meijer et al (Meijer et al 2018). This population is a set of F 3 families with a defined pedigree structure derived from a cross between an inbred (Solanum chacoense) and an outbred parent (Solanum tuberosum).…”
Section: Objectivesmentioning
confidence: 99%
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“…In this study, we develop methodology for QTL detection in pedigreed breeding populations, focusing on shallow pedigrees, derived by few possibly outbred founders. To that end, we will use a population described by Meijer et al (Meijer et al 2018). This population is a set of F 3 families with a defined pedigree structure derived from a cross between an inbred (Solanum chacoense) and an outbred parent (Solanum tuberosum).…”
Section: Objectivesmentioning
confidence: 99%
“…The mapping population consists of 840 individuals originating from a cross between an inbred S. chacoense genotype (we will refer to it as the ''Sc'' parent), and a highly heterozyous diploid S. tuberosum genotype (the ''St'' parent) (Meijer et al 2018). The mapping population is the third generation of this cross, as shown in Fig.…”
Section: Population and Datamentioning
confidence: 99%
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