Research Article

Variation and Relationships among Agronomic Traits in Durum Wheat [Triticum turgidum (L.) Thell. ssp. turgidum conv. durum (Desf.) MacKey] under South Mediterranean Growth Conditions: Stepwise and Path Analyses

Table 6

Full and stepwise regression models and direct and indirect effects of independent variables on grain yield.

Full regression model

btProbR2 mult
Constant41.742 ± 47.850.8720.392
DHE−0.630 ± 0.39−1.6130.121
BIO0.328 ± 0.049.3820.000
SN0.126 ± 0.121.0650.299
PHT0.071 ± 0.080.9030.376
HI0.934 ± 0.137.0490.000
CHL−0.013 ± 0.01−1.1400.267
CT0.173 ± 0.410.4190.6790.9458

Stepwise regression model
Variables available: BIO, SN, PHT, HI, CHL, and CT
βb ± SEbtaR2 mult
BIO0.9990.361 ± 0.01231.22
HI0.5281.271 ± 0.07716.49−46.9540.949

Variables available: SN, PHT, HI, CHL, and CT
SN0.7691.033 ± 0.1049.95
CHL−0.287−0.061 ± −0.0163.75
PHT0.2310.319 ± 0.01402.7926.080.683

Path analysis
VariableDHEBIOSNPHTHICHLCT
Direct effect−0.0140.9180.0680.0500.490−0.033−0.010
Indirect effects−0.325−0.0820.6900.257−0.271−0.146−0.177
ri/j−0.3390.8360.7580.3070.219−0.179−0.187

DHE = days to head, BIO = aboveground biomass, SN = spike number, GY = grain yield, Yeco = economical yield, PHT = plant height, STW = straw yield, HI = harvest index, CHL = chlorophyll content, and CT = canopy temperature.