Modification of a soybean model to improve soil temperature and emergence date prediction
Andales, AA; Batchelor, WD; Anderson, CE
| HERO ID | 10285540 |
|---|---|
| In Press | No |
| Year | 2000 |
| Title | Modification of a soybean model to improve soil temperature and emergence date prediction |
| Authors | Andales, AA; Batchelor, WD; Anderson, CE |
| Journal | Transactions of the ASAE |
| Volume | 43 |
| Issue | 1 |
| Page Numbers | 121-129 |
| Abstract | Recent studies have shown that the CROPGRO-Soybean model does not predict soil temperature very well in Iowa. This typically gives errors in predicted emergence date, which translates to errors in timing of development and biomass accumulation during the remainder of the season. In order to improve the model, an energy balance-based soil temperature model was integrated into the soybean model and compared to the original soil temperature model, which was driven primarily by air temperature. In the new model, temperature at the soil surface is estimated from the basic energy balance equation at the air-soil interface and the soil temperature profile is calculated using the one-dimensional heat flow equation. The model was calibrated using five years of bare-soil temperature data measured at an experimental farm in Ames, Iowa. Validation of the new model using five additional years of bare-soil temperature data from the same location gave slightly better predictions of soil temperature in the top 5 cm (RMSE = 3.0, R 2 = 0.86 for validation years), and responded better to surface perturbations than the original model (RMSE = 3.2, R 2 = 0.80 for validation years). Under bare soil conditions, the new model generally gave lower RMSE and higher R 2 values compared to the old model at all soil depths. The models were also compared for accuracy in predicting emergence date. Experimental data on soil temperature and emergence for soybeans planted on weekly intervals over an eight-week period were used to test the models. The new model gave excellent predictions of emergence, with an average error of 0.6 day for the eight weekly experiments. The old model had an average error of one day. Under cool conditions, the new model gave more accurate predictions of emergence dates. However, under warm periods, both models typically gave the same accuracy, and were within about one day of the measured emergence date. |
| Doi | 10.13031/2013.2693 |
| Wosid | WOS:000088957400014 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Language Text | English |