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. 2018 Jul 1;261:241–250. doi: 10.1016/j.agee.2017.05.008

Table 5.

Factors affecting%Ndfa, quantities of N2 fixed and soybean grain yield.

Dependent variable Type of relationa n Fpr Random Factorsb
Explanatory variables
%Ndfac
 Technology treatment C 122 0.023
 Clay 120 0.043 T
 Sand + 120 0.039 T
 Sowing date + 122 0.042 T
 Plant population + 150 0.029
 Biomass yield + 148 0.049
 Gender C 150 <0.001 T
 Value of assets 150 0.050 T



Total N2 fixed
 Region C 120 <0.001
 Year C 120 0.003
 Technology treatment C 120 0.043 R, Y
 Available P + 141 <0.001 R, Y, T
 Exchangeable K + 111 0.015 R, Y, T
 Grain yield + 150 <0.001 R, Y
 Biomass yield + 148 <0.001 R, Y
 Plant height + 148 0.002 R, Y



Soybean grain yield
 Region C 150 0.005
 Year C 150 <0.001
 Technology treatment C 150 <0.001 R, Y
 Plant height + 148 <0.001 R, Y
 Biomass yield + 148 <0.001 R, Y
 Plant population density + 150 0.013 R, Y
 Weed score 133 0.022 R, Y
 Total N2 fixed + 120 <0.001 R, Y
 Net N benefit from BNF 120 <0.001 R, Y
 Gender C 150 0.002 R, Y, T
 Value of assets + 150 <0.001 R, Y, T
a

For continuous variables ‘+’ indicates a positive and ‘−’ a negative correlation with the dependent variable; Categorical factors are indicated with “C”.

b

Random factors included in the REML model: R = Region, Y = Year, T = Technology treatment.

c

Percentage of nitrogen derived from the atmosphere.