Table 2.
Analysis of variance for leaf colour (SPAD) and the expression of the selected genes
Trait/Gene | Effect of treatment | Effect of genotype | |||
---|---|---|---|---|---|
F value | p value | F value | p value | ||
SPAD | 11.2 | 0.0009 | 6.6 | <2E-16 | |
Drought stress genes | A1 | 50.1 | 4.88E-12 | 8.8 | <2E-16 |
Dhn1 | 138.4 | <2E-16 | 23.5 | <2E-16 | |
GAD3 | 81.8 | <2E-16 | 96.7 | <2E-16 | |
NADP_ME | 315.5 | <2E-16 | 4.1 | 4.63E-09 | |
P5CS2 | 229.6 | <2E-16 | 335.4 | <2E-16 | |
Leaf senescence genes | Contig7437 | 0.9 | 0.342 | 128.7 | <2E-16 |
GSII | 175.4 | <2E-16 | 65.1 | <2E-16 | |
hv_36467 | 160.2 | <2E-16 | 46.9 | <2E-16 | |
LHC1b20 | 102.4 | <2E-16 | 156.7 | <2E-16 | |
pHvNF-Y5α | 76.5 | <2E-16 | 196.4 | <2E-16 | |
Genes out of GWASa | AVP1 | 51.4 | 2.06E-12 | 37.9 | <2E-16 |
ETFQO | 16.3 | 5.98E-05 | 41.3 | <2E-16 | |
SAPK9 | 9.0 | 0.00312 | 5.8 | 2.88E-07 | |
TRIUR3 | 96.5 | <2E-16 | 38.1 | <2E-16 |
aGenes coding for proteins identified by BlastX of significant marker sequences out of a previous genome wide association study (GWAS) by Wehner et al. [20]