Simulation of Total Dry Matter Production of Glycine Max L Merrill Under Weed Management Practices

Author:

Mohammadi Dr. Hossein, ,Ghulami Hassan Rahnaward,Rezaei Dr. Abdul Qayom, ,

Abstract

An investigation on “Weed Management and Crop Growth Modeling in Soybean” was carry out on red sandy loam soil at UAS, Main Research Station, Hebbal, Bangalore during Rabi 2010 (September to December). The weed control practices included in the study were i) Pendimethalin 30 EC 1.0 kg a.i./ha – 3 days after sowing, ii) Imazethapyr 10 SL 100 g a.i./ha – 20 days after sowing, iii) Quizalofop-p-ethyl 5 EC 50 g a.i./ha – 20 days after sowing, iv) Chlorimuron ethyl 25 WP 6 g a.i./ha – 20 days after sowing, v) Hand weeding (20 & 40 DAS) and vi) un-weeded control. The experiment was designed as RCBD with four replications. Growth models – Richards, Logistic, Cubic polynomial and Quadratic polynomial simulated the course of dry matter production/plant by >97per cent under all weed management practices, indicating that weed competition did not alter the pattern of crop growth, but affected the total production substantially.

Publisher

Lattice Science Publication (LSP)

Reference9 articles.

1. R. Cousens, "Aspects of the design and interpretation of competition (interference) experiments," Weed Technol., vol. 5, no. 3, pp. 664-673, 1991.

2. T. R. Prasad, "Weed Management and Crop Growth Modeling in Sunflower-and Groundnut Based Cropping Systems," PhD Thesis, Tamil Nadu Agricultural University, Coimbatore, 1993.

3. K. A. Jayarama, "FUNCTIONAL GROWTH MODEL IN RELATIONTO WEED MANAGEMENT IN GROUNDNUT (Arachis hypogaea L.)," PhD Thesis, University of Agricultural Sciences GKVK, Bangalore, 2000.

4. R. Shobha, "Weed Management and Weed Threshold Models in Soybean (Glycine Max L. Merrill)," PhD Thesis, University of Agricultural Science, Dharwad, 2001.

5. J. R. Qasem, "Applied allelopathy in weed management: an update," in Allelopathy, Springer, 2013, pp. 251-297.

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