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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2015 - IJCMAS--ICV 2015: 85.95 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2017) [Effective from January 1, 2017]For more details click here
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2017)
[Effective from January 1, 2017]
For more details click here

ICV 2015: 85.95
Index Copernicus ICI Journals Master List 2015 - IJCMAS--ICV 2015: 85.95
For more details click here
journals IJCMAS
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2015: 85.95
NAAS RATING 2017: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(3): 1687-1696
DOI: https://doi.org/10.20546/ijcmas.2017.603.194


Prediction of Growth and Yield of Late Sown Wheat Using DSSAT (v4.5) Model under Western Zone of Haryana
Mukesh Kumar1*, R.K. Pannu1, Raj Singh2, Bhagat Singh1, A.K. Dhaka1 and Rajeev2
1Department of Agronomy, College of Agriculture, CCS Haryana Agricultural University,Hisar-125004 (Haryana), India
2Department of Agricultural Meteorology, College of Agriculture, CCS Haryana Agricultural University, Hisar-125004 (Haryana), India
*Corresponding author
Abstract:

The aim of this study was the calibration and validation of DSSAT model (v4.5) for late sown wheat in western zone of Haryana. The DSSAT model was calibrated with the field experimental data of rabi 2010-11 having 3 levels of irrigation (one irrigation at crown root initiation [CRI], two irrigations at CRI and heading and four irrigations at CRI, late tillering, heading and milking) and 5 nitrogen levels (0, 50, 100, 150 and 200 kg N/ha) and validated with data of experiment rabi 2011-12 conducted at Hisar (29°10ˈ N and 75°46ˈ E). The model performance was evaluated using average error (Bias), root mean square error (RMSE), normalized root mean square error (nRMSE), index of agreement (d-stat) and coefficient of determination (r2), and it was observed that DSSAT model was able to predict the growth parameters (maximum leaf area index and total effective tillers), yields (grain, straw and biomass) and harvest index with reasonably good accuracy (error % less than ±15).


Keywords: DSSAT, Calibration, Validation, Late sown wheat, Irrigation levels, Nitrogen levels.
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How to cite this article:

Mukesh Kumar, R.K. Pannu, Raj Singh, Bhagat Singh, A.K. Dhaka and Rajeev. 2017. Prediction of Growth and Yield of Late Sown Wheat Using DSSAT (v4.5) Model Under Western Zone of Haryana.Int.J.Curr.Microbiol.App.Sci. 6(3): 1687-1696. doi: https://doi.org/10.20546/ijcmas.2017.603.194