Journal of Soil and Plant Interactions
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Jalil Shafagh- kolvanagh *1, Fariborz Shekari2, Abdullah Jawanmard2, Mina Amani3, Zohreh Saeli-Ashan3
1- University of Tabriz , shafagh@tabrizu.ac.ir
2- Maragheh University
3- University of Tabriz
2- Maragheh University
3- University of Tabriz
Abstract: (75 Views)
Background and Objective: Considering the increasing role of intercropping in enhancing the sustainability of agricultural and medicinal systems, as well as its demonstrated capability in weed suppression, this research was designed and conducted to evaluate the effects of intercropping on weed control and its impact on the agronomic traits and yield of canola, variety Shir-Ali, within a canola (Brassica napus L.) - safflower (Carthamus tinctorius L.) intercropping system.
Methods: To conduct this research, an experiment was designed as a factorial experiment based on a Randomized Complete Block Design (RCBD) with 10 treatments and 3 replications during the 2020-2021 crop season in a farm located in Maragheh, Iran. The first factor included weed control at two levels: complete weed control and no weed control. The second factor involved different intercropping ratios (1- Pure cultivation of canola, 2- Optimal density of safflower (60 seeds/m2) + 50% optimal density of canola (40 seeds/m2), 3- Optimal density of safflower (60 seeds/m2) + 75% optimum density of canola (60 seeds/m2), 4- Mixed cultivation of 1:1 replacement of safflower and canola, 5- Mixed cultivation of 2:1 replacement of safflower and canola).
Results: The results indicated that in canola, the highest biomass yield was observed in the pure canola treatment with 7990 kg per hectare, while the highest seed yield was recorded in the pure canola treatment with weed control. All intercropping treatments had a higher land equivalent ratio compared to the pure cultivation, except for the treatment of optimal density of safflower (60 seeds/m2) + 50% optimal density of canola (40 seeds/m2).
Conclusion: The findings of this study demonstrate that intercropping patterns not only enhance the performance of canola but also contribute to improved weed management and optimal resource utilization.
Methods: To conduct this research, an experiment was designed as a factorial experiment based on a Randomized Complete Block Design (RCBD) with 10 treatments and 3 replications during the 2020-2021 crop season in a farm located in Maragheh, Iran. The first factor included weed control at two levels: complete weed control and no weed control. The second factor involved different intercropping ratios (1- Pure cultivation of canola, 2- Optimal density of safflower (60 seeds/m2) + 50% optimal density of canola (40 seeds/m2), 3- Optimal density of safflower (60 seeds/m2) + 75% optimum density of canola (60 seeds/m2), 4- Mixed cultivation of 1:1 replacement of safflower and canola, 5- Mixed cultivation of 2:1 replacement of safflower and canola).
Results: The results indicated that in canola, the highest biomass yield was observed in the pure canola treatment with 7990 kg per hectare, while the highest seed yield was recorded in the pure canola treatment with weed control. All intercropping treatments had a higher land equivalent ratio compared to the pure cultivation, except for the treatment of optimal density of safflower (60 seeds/m2) + 50% optimal density of canola (40 seeds/m2).
Conclusion: The findings of this study demonstrate that intercropping patterns not only enhance the performance of canola but also contribute to improved weed management and optimal resource utilization.
Type of Study: Research |
Subject:
Plant growth under stressful conditions
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Journal of Soil and Plant Interactions by http://jspi.iut.ac.ir is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
