Multi-parent multi-environment QTL analysis: an illustration with the EU-NAM Flint population.

ABSTRACT:

Key message

Multi-parent populations multi-environment QTL experiments data should be analysed jointly to estimate the QTL effect variation within the population and between environments. Commonly, QTL detection in multi-parent populations (MPPs) data measured in multiple environments (ME) is done by analyzing genotypic values 'averaged' across environments. This method ignores the environment-specific QTL (QTLxE) effects. Running separate single environment analyses is a possibility to measure QTLxE effects, but those analyses do not model the genetic covariance due to the use of the same genotype in different environments. In this paper, we propose methods to analyse MPP-ME QTL experiments using simultaneously the data from several environments and modelling the genotypic covaria

SUBMITTER: Garin V 

PROVIDER: S-EPMC7419492 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature