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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

From: Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat

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

  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