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. 2023 Oct 11;14:1245362. doi: 10.3389/fpls.2023.1245362

Table 5.

Significant correlations (p < 0.10) of agronomic traits with time (Year) and between traits and annual weather variables, for spring wheat (SW) and winter wheat (WW).

Trait or time Growth habit WV* or Trait Regression equation Slope (units) SE~ R 2 p-value Years
Year SW HLW y = − 0.382Year + 849.6 −0.382 (kg hL−1) 0.11 0.48 0.0041 15
WW DH y = − 0.815Year + 1845.9 −0.815 (days) 0.29 0.27 0.0153 15
HLW SW TM y = − 1.932TM + 120.6 −1.932 (kg hL−1) 1.09 0.19 0.0995 15
TA y = − 3.129TA + 125.5 −3.129 (kg hL−1) 1.55 0.23 0.0647 15
WW Tm y = − 6.977Tm + 121.1 −6.977 (kg hL−1) 2.41 0.55 0.0229 9
P y = − 5.728P + 84.3 −5.728 (kg hL−1) 1.51 0.67 0.0069 9
DH SW Tm y = − 8.145Tm + 196.1 −8.145 (days) 3.47 0.30 0.0355 15
WW TA y = − 12.490TA + 305.7 −12.490 (days) 3.72 0.62 0.0122 9

* , weather variables; ~, standard error.

HLW, Hectoliter weight; and DH, days to heading; Tm, minimum temperature; TA, average temperature; TM, maximum temperature and P, rainfall.

Probability values in bold with 0.05 < p < 0.10.