In the current study, data from four F2-crosses were pooled. This data set was used to study the linkage disequilibrium (LD) within and across the crosses. Genome-wide association studies for conductivity and dressing out were conducted using BayesD. Three porcine F2-crosses generated from distantly related founder breeds Wild Boar, Piétrain and Meishan and one porcine F2-cross from closely related founder breeds Piétrain and the F1 cross Large White × Landrace were pooled. Around 50k SNPs localized on the current genome assembly from 2,570 F2-individuals were usable for LD studies. The breakdown of the LD was faster in crosses generated from closely related founders, compared to crosses from distantly related founders. By pooling the data the fastest breakdown of LD was observed. Dominance which is of special interest for the traits was included in BayesD. Based on the LD structure, 1Mb windows were built. Window posterior probability of associations ≥ 0.8 were found for conductivity on chromosomes 2, 6, 8, 11, 14, and 15. Keywords: Association analysis, BayesD windows, meat traits, multiple porcine F2-crosses

Patrick Stratz, Markus Schmid, Robin Wellmann, Siegfried Preuß, Iulia Blaj, Jens Tetens, Georg Thaller, Jörn Bennewitz

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Methods and Tools - GWAS, , 19, 2018
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