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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.
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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 2016: 92.3
Index Copernicus ICI Journals Master List 2016 - IJCMAS--ICV 2016: 92.3
For more details click here
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2015: 85.95
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Int.J.Curr.Microbiol.App.Sci.2017.6(4): 1031-1041
DOI: https://doi.org/10.20546/ijcmas.2017.604.128


Genetic Coefficient and Validation of DSSAT Model for Cotton under Different Growing Environments
Sagar Kumar*, Ram Niwas, M.L. Khichar, Amit Singh, Premdeep, Yogesh Kumar and Abhilash
Department of Agricultural Meteorology, College of Agriculture (COA),CCS Haryana Agricultural University, Hisar-125004, Haryana, India
*Corresponding author
Abstract:

The field experiment was conducted at the research area of the Department of Agricultural Meteorology, CCS Haryana Agricultural University, Hisar, during the kharif season of 2015-16. The main plots treatments consisted of three date of sowing 2nd week of May (D1), 3rd week of May (D2) and 1st week of June (D3) and sub-plots consisted of three varieties (Pancham 541, SP 7121 and RCH 791. Genetic coefficient for DSSAT- CROPGRO model such as EM-FL, FL-SH, SD-PM, FL-LF, SLAVR, SIZLF, XFRT, SDPRO, SDLIP, SFDUR, THRSH, SDPDV, CSDL, PP-SEN, LFMAX, WTPSD and PO-DUR were evaluated. SLAVR, XFRT and THRSH were main coefficients which influenced LAI and seed cotton yield. The model performance in respect of phenology was good with error of ±5% for all the three cotton cultivars and growing environments. Also the model performance was within acceptable range of ±10.0% for LAI, seed cotton yield and biomass for all the cultivars and growing environments. But the model performance was not within acceptable range for the crop sown in 1st week of June.


Keywords: Cotton, Growing environment, DSSAT, Genetic coefficient and validation.
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How to cite this article:

Sagar Kumar, Ram Niwas, M.L. Khichar, Amit Singh, Premdeep, Yogesh Kumar and Abhilash. 2017. Genetic Coefficient and Validation of DSSAT Model for Cotton under Different Growing EnvironmentsInt.J.Curr.Microbiol.App.Sci. 6(4): 1031-1041. doi: https://doi.org/10.20546/ijcmas.2017.604.128