A new method of simulating dry matter partitioning in the Canegro sugarcane model.

By A. Singels, C. Bezuidenhout. 2002

156 citations recorded by the source corpus.

Subfields: Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/065f4de5d208954b0c62ae85d9a24b740058c0d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Plant Science

1. Fábio Ricardo Marin
2. W. J. P. Filho
3. Daniel Silveira Pinto Nassif
4. James W. Jones
5. F. Royce
6. C. Suguitani
7. Jorge L. Donzeli

In Soil Science

1. W. J. P. Filho
2. Daniel Silveira Pinto Nassif
3. James W. Jones
4. F. Royce
5. C. Suguitani
6. Jorge L. Donzeli
7. Fábio Ricardo Marin

Citations in the corpus

• Parameterization and Evaluation of Predictions of DSSAT/CANEGRO for Brazilian Sugarcane (2011, background): “Van Antwerpen (1998) and Smith et al. (2005) reported maximum root length densities of between 0.”
• Process-based simple model for simulating sugarcane growth and production (2014, methodology): “The RMSEP of 5.38 t ha–1 for SP83-2847 (Table 6) is slightly lower than either of the values obtained by Singels and Bezuidenhout (2002), or O’Leary (2000) and Marin et al. (2011) using several versions of CANEGRO for simulations or values from Cheeroo-Nayamuth et al. (2000) using the APSIM-Sugar…”