Fig. 5.

Genome-wide association (GWA) mapping of FW, PLA, and parameters of growth model Expo2. Univariate GWA analyses were performed for all traits; in addition, the model parameters ‘r’ and ‘A ₀’ were also analysed together in an MTMM-GWA approach. A Manhattan plot of the –log(P) marker–trait association for FW, PLA, and model parameters of Expo2 is shown. PLAs on the different days are represented by one value; for each SNP, only the –log(P) value of the day with the highest association is plotted. Univariate analyses of ‘r’ and ‘A ₀’, and the MTMM analyses of ‘A ₀’ and ‘r’ jointly are also represented by one value; for each SNP, only the –log(P) value of the analysis with the highest association is plotted. The total number of tested SNP markers was 214 000, but only the ~10 000 SNPs with –log10(P)>2 are plotted. The dotted line indicates the arbitrary threshold of –log(P)=5.