International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:7, July, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(7): 923-927

Seasonal Influence on Yield of Maize and Its Validation with CERES-Maize Model
M. Swetha Sree, T. Prathima, V. Rajarajeswari and P. Latha
Department of Crop Physiology, S.V Agricultural College, Tirupathi, 517502, Andhra Pradesh, India
*Corresponding author

It would be preferable to use a reliable crop growth model for studies on climate change impact assessment. The objectives of this study were to evaluate simulation performance for models CERES-Maize included in the DSSAT model (version 4.5) in terms of yield. Three hybrids D.S 900M, Pinnacle and CP818 were grown under four dates June II FN, July I FN, July II FN and August I FN during kharif season, 2016 at S.V. Agricultural college, Tirupati to study the ‘Seasonal influence on yield of maize and its validation with CERES-Maize model’. The results indicated that among the hybrids Pinnacle recorded numerically higher yield (3006.58 kg ha-1) than D.S 900 M but was significantly higher than CP818. Among the dates of sowing D1 (June II FN) recorded significantly higher yield (3684.36 kg ha-1) than D2, D3 and D4. CERES Maize model validated excellent for grain yield. The simulated and observed yields are within the bounds of experimental uncertainity. CERES Maize model v.4.5 can be used to forecast maize yield in Southern agro-climatic conditions.

Keywords: Crop growth model, Season, DSSAT, CERES, Simulation, Yield

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How to cite this article:

Swetha Sree, M., T. Prathima, V. Rajarajeswari and Latha, P. 2018. Seasonal Influence on Yield of Maize and Its Validation with CERES-Maize Model.Int.J.Curr.Microbiol.App.Sci. 7(7): 923-927. doi:
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