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 |
For continuous variables ‘+’ indicates a positive and ‘−’ a negative correlation with the dependent variable; Categorical factors are indicated with “C”.
Random factors included in the REML model: R = Region, Y = Year, T = Technology treatment.
Percentage of nitrogen derived from the atmosphere.