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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(6): 2966-2970
DOI: https://doi.org/10.20546/ijcmas.2018.706.349


Estimation and Influencing the Variability of Yield Losses in Wheat
S. Patel1*, Y. Gharde2 and K. K. Pandey3
1Department of Agricultural Statistics and Social Science, College of Agriculture, IGKV, Raipur, India
2Directorate of Weed Research, Jabalpur, India
3S.K. College of Agriculture and Research Station, Kawardha, India
*Corresponding author
Abstract:

The present study was carried out to make a suitable forecast model that predicts yield loss occurred due to weeds in wheat crop. The data were taken from the annual report of AICRP-WM centres. Gwalior and Pusa are the two centres in which the work has been carried out. Weed density and weed dry weight were two weed infestation measurements that were considered for model fitting. Simple linear, quadratic and cousens (1985) proposed hyperbolic model were tested. In AICRP-WM Gwalior, for independent variable weed density simple linear model and for weed dry weight quadratic model was find the best fit model but the validation of models indicates these model does not predict the yield loss accurately. In data of AICRP-WM centre Pusa for independent variable weed density, simple linear model and for weed dry weight quadratic model was find the best fit models. Validation of these models shows that the above mention models were accurately predicting the yield loss.


Keywords: Dry weight, Weed density, Wheat, validation
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How to cite this article:

Patel S., Y. Gharde and Pandey K. K. 2018. Estimation and Influencing the Variability of Yield Losses in Wheat.Int.J.Curr.Microbiol.App.Sci. 7(6): 2966-2970. doi: https://doi.org/10.20546/ijcmas.2018.706.349