Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
CSM-CERES-Maize model (DSSAT v4.0)

CSM-CERES-Maize model (DSSAT v4.0)

Bhusal, Tej Narayan

Paperback

Botany & Horticulture

ISBN10: 6207467744
ISBN13: 9786207467747
Publisher: LAP Lambert Academic Publishing
Published: Aug 4 2025
Pages: 132
Weight: 0.41
Height: 0.31 Width: 6.00 Depth: 9.00
Language: English
In recent years, the use of crop models has grown exponentially for agro-climatic and site-specific resource management aimed at increasing grain yield. Among these models, CMS-CERES-Maize is one of the most prominent. However, limited academic literature exists on how to best utilize such simulation models to optimize yield in developing countries like Nepal. Calibration and validation using available datasets are prerequisites for effective application. Site-specific management of resources-such as nitrogen (dose, timing, and method) and water (amount and timing)-has been shown to increase maize yield while minimizing losses. Similarly, factors such as annual climate variation, sowing dates, and initial soil moisture content significantly affect yield performance. Findings from this study suggest that changes in the magnitude of climatic parameters can place stress on resource management systems, thereby affecting grain yield. This analysis contributes to a better understanding of this emerging field and may be particularly useful to professionals and others involved in agriculture.

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