Table 2 Percentage variance explained (R2) using only significant gene expression, LC-peaks, GC-peaks or proteins
From: Integration of multi-omics data for prediction of phenotypic traits using random forest
Quality trait | Gene expression | LC peaks | GC peaks | Proteins | Combining significant genes, LC peaks, GC peaks and proteins | Combining significant genes, LC peaks, GC peaks and proteins from max. one QTL per dataset per chromosome |
|---|---|---|---|---|---|---|
Flesh colour | 73 % (233) | 74 % (7) | 33 % (6) | 60 % (10) | 75 % (256) | 73 % (Fig. 1) Gene(8) + LC(2) + GC(2) + Protein(1); Total =13 |
Tuber shape | 55 % (303) | NS | NS | NS | 55 % (303) | 53 % (Fig. 2) Gene (11) |
DSC onset | 44 % (487) | NS | 27 % (5) | 28 % (2) | 51 % (494) | 45 % (Fig. 3) Gene(12) + GC(5) + Protein(2); Total = 19 |
Enzymatic discoloration | 51 % (420) | 32 % (8) | NS | 36 % (22) | 46 % (450) | 43 % (Fig. 4) Gene(4) + LC(2) + Protein(2); Total = 8 |