Table 3.

Pearson’s correlation coefficient between phenotypic traits by using best linear unbiased estimates in four datasets, A) BLUEQ17; B) BLUEQ18; C) BLUEC18; D) BLUEAll

Traits	HI	GY	GN	SPI	FE	NDVI	CT
A
HI	1
GY	0.61	1
GN	0.47	0.87	1
SPI	0.26	0.08	0.06	1
FE	0.48	0.48	0.54	−0.50	1
NDVI	0.18	0.30	0.39	0.19	0.16	1
CT	−0.20	−0.26	− 0.37	− 0.19	−0.14	− 0.46	1
B
HI	1
GY	0.50	1
GN	0.48	0.83	1
SPI	0.33	0.28	0.21	1
FE	0.47	0.38	0.47	−0.13	1
NDVI	0.14	0.36	0.42	0.19	0.14	1
CT	−0.05	−0.15	− 0.18	−0.01	− 0.03	−0.18	1
C
HI	1
GY	0.63	1
GN	0.50	0.76	1
SPI	0.40	0.34	0.38	1
FE	0.51	0.27	0.52	−0.10	1
NDVI	0.25	0.40	0.37	0.11	0.09	1
CT	−0.23	−0.34	− 0.23	−0.21	− 0.03	−0.03	1
D
HI	1
GY	0.59	1
GN	0.42	0.82	1
SPI	0.29	0.25	0.23	1
FE	0.35	0.32	0.47	−0.32	1
NDVI	0.41	0.36	0.20	0.13	0.12	1
CT	−0.11	−0.24	− 0.31	−0.07	− 0.08	0.09	1

HI harvest index, GY grain yield in kg ha⁻¹, GN grain number m⁻², SPI spike partitioning index, FE fruiting efficiency in grains g^− 1 of spike dry weight at anthesis+ 7 days, NDVI normalized difference vegetation index, CT canopy temperature in ^oC. Correlation coefficient value of above 0.14, 0.18 and 0.40 is significant at 0.001, 0.01, and 0.05 probability levels, respectively