Quantifying the Power and Precision of QTL Analysis in Autopolyploids Under Bivalent and Multivalent Genetic Models

• Published in: G3 : genes - genomes - genetics Vol. 9; no. 7; pp. 2107 - 2122
• Main Authors: Bourke, Peter M, Hackett, Christine A, Voorrips, Roeland E, Visser, Richard G F, Maliepaard, Chris
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 01.07.2019; Genetics Society of America
• Subjects: Algorithms; Alleles; autopolyploid; Bayesian Information Criterion (BIC); Cell division; Chromosome Mapping; double reduction; Genotype; genotypic information coefficient (GIC); Investigations; Models, Genetic; Polyploidy; Quantitative Trait Loci; Quantitative Trait Locus (QTL) analysis; Reproducibility of Results; autopolyploid; double reduction; Bayesian Information Criterion (BIC); Quantitative Trait Locus (QTL) analysis; genotypic information coefficient (GIC)

Abstract New genotyping technologies, offering the possibility of high genetic resolution at low cost, have helped fuel a surge in interest in the genetic analysis of polyploid species. Nevertheless, autopolyploid species present extra challenges not encountered in diploids and allopolyploids, such...