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Identifying irrigation and nitrogen best management practices for sweet corn production on sandy soils using CERES-Maize model

By: Contributor(s): Material type: ArticleArticleLanguage: En Publication details: 2012ISSN:
  • 0378-3774
Subject(s): In: Agricultural Water Management v. 109, p. 61-70Summary: Research based crop-specific bestmanagementpractices (BMPs) must be developed for sweetcorn (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 sweetcornproduction on sandysoils in Florida using the calibrated CERES-Maizemodel 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 sweetcorn 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 168 kg N ha−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 70 kg N ha−1 per fertigation event, but changed only slightly at application rates less than 70 kg N ha−1 per fertigation. Smaller application rates per fertigation decreased N leaching substantially, especially for rates less than 70 kg N ha−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 7.5 mm with MAD values of 20% and 30%), two N levels (196 and 224 kg N ha−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 40 kg N ha−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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Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0378-3774

Research based crop-specific bestmanagementpractices (BMPs) must be developed for sweetcorn (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 sweetcornproduction on sandysoils in Florida using the calibrated CERES-Maizemodel 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 sweetcorn 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 168 kg N ha−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 70 kg N ha−1 per fertigation event, but changed only slightly at application rates less than 70 kg N ha−1 per fertigation. Smaller application rates per fertigation decreased N leaching substantially, especially for rates less than 70 kg N ha−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 7.5 mm with MAD values of 20% and 30%), two N levels (196 and 224 kg N ha−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 40 kg N ha−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.

English

Elsevier

Carelia Juarez

Reprints Collection


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