International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:11, November, 2020

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.2020.9(11): 3120-3128

Correlation Studies and Yield Forecasting Regression Model of kharif sorghum [Sorghum bicolor (L.)]
D. D. Burade, M. B. Jadhav* and A. D. Nirwal
Department of Agril. Meteorology, VNMKV, Parbhani (M.S.), India
*Corresponding author

The field experiment was carried out in kharif season 2012-13 for studying relationship between weather parameters and growth of sorghum and to develop the regression model. The sowing date 24thMW showed significantly superior over the rest of treatments with production of highest grain yield (1482.10 kg ha-1) followed by sowing in second sowing date 25thMW (1444.2 kg ha-1)and lowest grain yield was observed in fourth sowing date 27th MW (1119.31 kg ha-1). Correlation between weather parameters and growth stages of sorghum with grain yield showed that all the weather parameters mostly positively and highly significant correlation at different growth stages except flag leaf to boot stage. While, it was found highly and negatively significant correlated at all the growth stages expect panicle initiation to flag leaf; boost stage to heading and dough stage with different weather parameters. The multiple regression coefficients (R2) at each stage showed a high degree of goodness of fit as indicated by as high as 0.74 to 0.88. The regression model for different growth stages was developed and it was found significant. It showed accurate and useful yield prediction because of its error percentage is very less ranging between 0.07 to 4.62 percentages.

Keywords: Kharif sorghum, Growth stages, Correlation, Regression statistical model

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How to cite this article:

Burade, D. D., M. B. Jadhav and Nirwal, A. D. 2020. Correlation Studies and Yield Forecasting Regression Model of kharif sorghum [Sorghum bicolor (L.)].Int.J.Curr.Microbiol.App.Sci. 9(11): 3120-3128. doi:
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