Skip to main content
. 2017 Jun 26;8:1114. doi: 10.3389/fpls.2017.01114

Table 8.

Pattern matrix of the PCA analysis.

Pattern matrix
1st year
2nd year
PC1 PC2 PC3 PC1 PC2 PC3

Chlorophyll b 0.963 Carotenoids 0.938
Carotenoids 0.952 Chlorophyll b 0.933
NDVI milk 0.921 Anthocyanin 0.887
GNDVI milk 0.895 VW 0.837
Anthocyanin 0.861 0.313 SPAD milk 0.784
GDDHD 0.781 -0.389 NDVI milk 0.625 0.360 -0.356
VW 0.778 0.383 NTLSM 0.924
GNDVI booting 0.716 0.370 -0.382 GRYLD 0.849
NDVI booting 0.657 0.478 PH 0.764
NTLSM 0.917 0.322 GDDPM 0.560 0.679
GRYLD 0.417 0.645 GNDVI heading 0.332 -0.784
PH -0.377 0.452 TKW 0.520 0.765
SPS -0.888 GDDHD 0.561 -0.699
TKW 0.491 0.682 NDVI heading 0.336 0.416 -0.623
GNDVI anthesis 0.361 0.473 -0.586
SPS -0.584
Cumulative variance (%) 50.01 66.52 78.46 Cumulative variance (%) 46.56 66.33 79.97

PCA was based on agronomic traits, anthocyanin, carotenoids, chlorophyll b, NDVI and GNDVI at booting and milk stage for the 1st year and on the agronomic traits, anthocyanin, carotenoids, chlorophyll b, SPAD at milk stage, NDVI at heading and milk stage and GNDVI at heading and anthesis for the 2nd year. GRYLD, Grain yield; NTLSM, number of tillers per m2; SPS, seeds per spike; VW, volume weight; TKW, thousand kernel weight; PH, plant height; GDDHD, growing degree days to heading; GDDPM, growing degree days from heading to physiological maturity.