International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:9, September, 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(9): 3005-3013

Crop – Weed Modeling and Fitting Multiple Regression Equation in System of Rice Intensification
M.P. Kavitha1 and D. Janaki2
1Department of Vegetable Crops, 2Department of Fruits Crops, Horticultural College and Research Institute, Tamil Nadu Agricultural University, Periyakulam- 625 604, India
*Corresponding author

Field experiments were conducted at Agricultural Research Station, Vaigai Dam, Tamil Nadu Agricultural University during two consecutive kharif seasons of the years 2012 and 2013, to find out the cause effect relationship between weed density with crop dry matter production, weed dry matter production with crop dry matter production under System of Rice Intensification. The results revealed that, the rate measurer values of weed density on crop DMP were lower for pre emergence application of Pretilachlor @ 0.75 kg a.i ha-1 + one mechanical weeding at 30 DAT during both years. This was attributed to lesser damage by weeds on growth due to effective suppression of weed density and weed DMP. The next lower rate measurer values were noticed with mechanical weeding three times @ 15, 30 and 45 DAT. A higher rate measurer value of weed density and weed DMP on crop DMP under other treatments showed that relatively higher aggressiveness of weed competition through the density and weed DMP. During both years grasses were more competitive than broad leaved weeds and sedges. Higher rate measurer values found for grasses showed the predominant occurrence of Echinochloa colonum seeds in the weed flora of previous crop.

Keywords: Weed density, Crop dry matter production, Weed dry mater production, Rate measurer

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How to cite this article:

Kavitha, M.P. and Janaki, D. 2018. Crop – Weed Modeling and Fitting Multiple Regression Equation in System of Rice Intensification.Int.J.Curr.Microbiol.App.Sci. 7(9): 3005-3013. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.