Home / Journals / PHYTON / Online First / doi:10.32604/phyton.2020.08536

Open Access


Comparative Efficacy of Weed Control Practices for Parthenium Weed and Sunflower Crop under Varying Tillage Systems

Noor Ahmad1,*, Rana Nadeem Abbas1, Asif Tanveer1, Zulfiqar Ahmad Saqib2
1 Deaprtment of Agronomy, University of Agriculture Faisalabad, Faisalabad, 7800, Pakistan
2 Institute of Soil and Environmental Science, University of Agriculture Faisalabad, Faisalabad, 7800, Pakistan
* Corresponding Author: Noor Ahmad. Email: noor.e.sehr@gmail.com

Phyton-International Journal of Experimental Botany https://doi.org/10.32604/phyton.2020.08536


Parthenium poses serious threat to modern crop production system and necessitate evaluating control practices for its effective management. Efficacy of different weed control practices for controlling parthenium was explored in conventional and deep tillage systems in the field conditions. Hand hoeing (20 and 35 days after emergence), S-Metolachlor (pre-emergence herbicide), sorghum straw mulch @ 5 tons ha-1 and combination of hand hoeing and sorghum straw mulch (hand hoeing at 20 and straw mulch at 35 days after emergence) were used as weed control practice. Weedy check where no weed control measure was applied was also included in this experiment for comparison. Results concluded that the all weed management treatments significantly reduced parthenium density, its fresh and dry biomass during both the years of study as compared to weedy check. Maximum sunflower achene yield was recorded in hand hoeing (20 and 35 days after emergence) in combination with deep tillage. So, mold bold plough used for the purpose of deep tillage should be encouraged for better control of parthenium and higher achene yield of sunflower crop (3293.3 kg ha-1 in 2017 and 3221.3 kg ha-1 in 2018). Moreover, is also inferred that total dose of herbicide might be reduced by using hoeing and mulching in an integrated way.


Parthenium; mulch; hoeing; tillage; s-metolachlor; sunflower
  • 2017


  • 445


  • 0


Share Link

WeChat scan