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Effect of Different Common Bean (Phaseolus vulgaris L.) Planting Densities on Weed Control in Intercropping System with Roselle (Hibiscus sabdariffa L.) Varieties at Hawassa, Southern Ethiopia


The International Journal of Biological Research (TIJOBR)

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Dejene Tadesse Banjaw1*, Mohamed Worku Adem2, Belstie Lulie

 *Corresponding author: dejenebanjaw@gmail.com

Submitted Accepted Published
Jul 18,2018 Jan 29,2019 Feb 11,2019

2019 / Vol: 2 / Issue: 1


Abstract


The experiment was conducted to determine best common bean planting density for better weed control in intercropping with two roselle varieties at Hawassa, southern Ethiopia. It was arranged in a 2x4 factorial with RCBD design in three replications. The treatment of the experiment was 10: (sole cropping of the roselle varieties, and combination of 25%, 50%, 75% and 100% common bean planting densities with the two roselle varieties). Visual weed infestation rating (scale1-6), weed density and dry aboveground weed biomass were collected used for analysis and all were subjected to analysis of variance using SAS software version 9.3. Differences between means were assessed using Duncan`s Multiple Range Test at 5% probability level. Results of the experiment showed that the interaction between the main factors (roselle variety and common bean planting density) were nonsignificant for all parameters. Common bean planting density and cropping system significantly affected weed infestation. The highest values for visual estimate weed ground coverage, weed density, and weed dry biomass were recorded for 25% common bean planting density (2, 15.43 plant/m2, and 13.34g/m2 respectively) and for sole roselle cropping (2.5, 17.21 plant/m2, and 15.61g/m2 respectively). Increases in common bean planting densities showed decreasing trends in weed infestation. Therefore, intercropping roselle with 100% common bean planting density was recommended for better weed control for growers in the study areas as well as similar agroecologies.

Keywords: Intercropping, weed infestation,  



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