Joint-multiple family linkage analysis predicts within-family variation better than single-family analysis of the maize nested association mapping population.

ABSTRACT: Quantitative trait locus (QTL) mapping has been used to dissect the genetic architecture of complex traits and predict phenotypes for marker-assisted selection. Many QTL mapping studies in plants have been limited to one biparental family population. Joint analysis of multiple biparental families offers an alternative approach to QTL mapping with a wider scope of inference. Joint-multiple population analysis should have higher power to detect QTL shared among multiple families, but may have lower power to detect rare QTL. We compared prediction ability of single-family and joint-family QTL analysis methods with fivefold cross-validation for 6 diverse traits using the maize nested association mapping population, which comprises 25 biparental recombinant inbred families. Joint-family QTL ana

SUBMITTER: Ogut F 

PROVIDER: S-EPMC4434247 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature