1Dr. Hossein Mohammadi, Assistant Professor and Deputy of the Agriculture Faculty, Bamyan University, Bamyan, Afghanistan.
2Hassan Rahnaward Ghulami , Assistant Professor in the Natural Science Faculty, Bamyan University, Bamyan, Afghanistan.
3Dr. Abdul Qayom Rezaei, Assistant Professor and Dean of Agriculture Faculty, Bamyan University, Bamyan, Afghanistan.
Manuscript received on 28 August 2021 | Revised Manuscript received on 13 September 2021 | Manuscript Accepted on 15 October 2021 | Manuscript published on 30 October 2021 | PP: 19-22 | Volume-1 Issue-2, October 2021 | Retrieval Number: 100.1/ijb.B2005101221 | DOI: 10.54105/ijab.B2005.101221
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Soybean, Simulation of total dry matter production, Weed management practices
Scope of the Article: Plant Sciences