Table 3.
Regression equation models obtained from fungicide evaluation of triazoles (4a–4h) and tebuconazole against Colletotrichum gloeosporioides.
| Solutions | Regression Equations | ED50 (µg mL−1) | ED100 (µg mL−1) | |||
|---|---|---|---|---|---|---|
| MG | SP | MG | SP | MG | SP | |
| 4a | Y = 23,742 + 0.049x ** R2 = 0.98 |
Y = 4145 + 0.6421 logx ** R2 = 0.91 |
529.50 | 21.48 | 1537.77 | 1439.60 |
| 4b | Y = 16,937 + 0.046x ** R2 = 0.92 |
Y = 4295 + 0.608 logx * R2 = 0.99 |
715.72 | 14.45 | 1798.08 | 1384.10 |
| 4c | Y = 17,159 + 0.048x ** R2 = 0.90 |
Y = 4642 + 0.515 logx ** R2 = 0.91 |
682.63 | 4.97 | 1.72194 | 1.42583 |
| 4d | Y = 19,419 + 0.057x ** R2 = 0.97 |
Y = 4033 + 0.494 logx * R2 = 0.81 |
529.94 | 0.98 | 1396.40 | 1048.40 |
| 4e | Y = 14,677 + 0.070x ** R 2= 0.99 |
Y = 4823 + 0.463 logx ** R2 = 0.99 |
502.20 | 2.41 | 1213.07 | 1425.00 |
| 4f | Y = 19,205 + 0.078x * R2 = 0.88 |
Y = 25.6 + 20.7x − 1.2x2 ** R2 = 0.99 |
394.80 | 10.70 | 1035.83 | 1112.17 |
| 4g | Y = 8334 + 0.084x ** R2 = 0.97 |
Y = 5183 + 0.517 logx ** R2 = 0.99 |
496.02 | 0.44 | 1091.26 | 1069.37 |
| 4h | Y = 14,334 + 0.069x ** R2 = 0.98 |
Y = 5043 + 0.514 logx2 ** R2 = 0.95 |
519.76 | 0.83 | 1248.41 | 1098.15 |
| Tebuconazole | Y = 5627 + 1.097 logxns R2 = 0.55 |
Y = 6598 + 0.640 logx2 ** R2 = 0.99 |
0.26 | <1 | 35.32 | 13.71 |
MG = Mycelial growth; SP = Sporulation; ED50 and ED100 correspond to, respectively, minimum concentration necessary to inhibit 50% and 100% of mycelial growth and pathogen sporulation. Regression coefficient followed by * or ** are significant at the 5 or 1% probability, respectively.