SWAT Literature Database for Peer-Reviewed Journal Articles

Two-year growth cycle sugarcane crop parameter attributes and their application in modeling 
Meki, M.N., J.R. Kiniry, A.H. Youkhana, S.E. Crow, R.M. Ogoshi, M.H. Nakahata, R. Tirado-Corbalá, R.G. Anderson, J. Osorio and J. Jeong 
Journal:Agronomy Journal 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:crop/plant growth 
Primary Application Category:crop growth/yield or plant parameters 
Secondary Application Category:none 
Watershed Description:
Commercial Sugarcane Plantation, Island of Maui, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments:Table 4 contains a suite of sugarcane crop parameters that may be of interest to some SWAT users. 
Abstract:The renewed interest in the use of sugarcane (Saccharin offi cinarum L.) for biofuel could provide a viable market for potential Hawaiian sugarcane feedstock producers. In Hawaii, sugarcane is grown as an irrigated 2-yr cycle crop. Th ere is however little information on crop parameter attributes of 2-yr cycle sugarcane. Th is field study on Maui, Hawaii, analyzed the relationship between sugarcane biomass accumulation and specific crop parameters. Overall, the high dry biomass yield (80.20 Mg ha–1) was the result of a high leaf area index (LAI, 7.50) and radiation use efficiency (RUE, 2.06 g MJ–1. Th e crop growth rate was highly correlated to LAI (R2, 0.86), and a light extinction coefficient (k) of 0.53 was estimated. Stalk density was estimated at 18 stalks m–2, with a maximum plant height of 3.6 m, and a rooting depth exceeding 2.0 m. When the crop parameters were incorporated into a biological model of Agricultural Land Management Alternatives with Numerical Assessment Criteria (ALMANAC) the model accurately simulated sugarcane yields across seven different soil types and multiple management scenarios of applied irrigation water, N and P fertilizer inputs and various planting and harvest dates. The mean simulation percent (%) errors ranged from –6.4% to 1.8%, while the calculated Fisher’s paired test of 1.41 with 39 degrees of freedom, showed no significant differences (P ≥ 0.05) between measured and simulated yields. The ALMANAC model should be useful as a decision support tool for evaluating sugarcane management alternatives that maximize yields while optimizing water, N and P inputs.