 Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize modelJianqiang He, Michael D. Dukes, George J. Hochmuth, James W. Jones and Wendy D. Graham Agricultural Water Management, 2012, vol. 109, issue C, 61-70 Abstract: Research based crop-specific best management practices (BMPs) must be developed for sweet corn (Zea mays L. var. saccharata) production to reduce the amount of nitrogen (N) leaching. The objective of this study was to identify irrigation and nitrogen BMPs for sweet corn production on sandy soils in Florida using the calibrated CERES-Maize model of the Decision Support System for Agrotechnology Transfer (DSSAT). A total of 24 irrigation schedules, 21 N fertilizer levels, 30 N application splits, and 20 N application rates per split were systematically evaluated in single factor simulations. Then, a set of 324 management scenarios composed of 6 irrigation timing/amount and 54 N fertilizer application strategies selected in early single factor explorations, was explored in a multifactor analysis. Keywords: CERES-Maize; DSSAT; Best management practice; BMP; Nitrogen; Irrigation; Sweet corn (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:109:y:2012:i:c:p:61-70 DOI: 10.1016/j.agwat.2012.02.007 Access Statistics for this article Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns More articles in Agricultural Water Management from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.