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.Irrigation frequency had a strong influence on sweet corn yield. If irrigation events were triggered when maximum allowable depletion (MAD) of soil water content was greater than 60%, corn growth suffered water stress and the simulated yield was reduced. The increase in yield approached zero above 168kgNha−1. Splitting N fertilizer applications did not influence yield if there was an N application during the small-leaf stage or large-leaf stage; however, the lowest amount of N leaching occurred when no N was applied during the small-leaf stage. Simulated yield increased when application rates decreased from 100 to 70kgNha−1 per fertigation event, but changed only slightly at application rates less than 70kgNha−1 per fertigation. Smaller application rates per fertigation decreased N leaching substantially, especially for rates less than 70kgNha−1. Six potential BMPs were selected from the 324 management scenarios as optimizing yield while minimizing N leaching. These BMPs were composed of two irrigation schedules (depths of 5.0 and 7.5mm with MAD values of 20% and 30%), two N levels (196 and 224kgNha−1), two N split plans (0-1/4-3/4 and 0-1/3-2/3 of total N applied in the small-leaf, large-leaf, and ear development stages, respectively), and two N application rates per fertigation (30 and 40kgNha−1). It should be recognized that these results are recommendations based on modeling assumptions and should be tested in actual field production for their practical and economic validity.

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