Indian Journal of Agricultural Research

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Productivity and Profitability of Indian Mustard as affected by Integrated Weed Management

R. Dash1,*, T.K. Das1, B.K. Mohapatra1, N. Panda2, S. Tripathy1, I. Kar1, S. Samantaray1, S. Karubakee1, S. Acharya3
1Department of Agronomy, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar-751 003, Odisha, India.
2Department of Soil Science, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar-751 003, Odisha, India.
3Department of Agronomy, Bihar Agricultural University, Sabour-813 210, Bihar, India.

Background: Weed infestation is a primary cause of reduced yields, with estimated losses ranging from 10-70% due to crop-weed competition in Indian mustard. Therefore, it is essential to implement effective weed control measures to optimize the crop's yield potential. A combination of herbicides with manual, culturaland mechanical approaches is desirable to achieve optimal weed control. Therefore, a field experiment was carried out to evaluate the effect of integrated weed management on the productivity and profitability of Indian mustard.

Methods: The experiment was conducted at the Agronomy Main Research Farm, College of Agriculture, Orissa University of Agriculture and Technology (OUAT), Bhubaneswar during rabi season of 2021-22 and 2022-23. It consisted of eight treatments in a randomized block design (RBD) with three replications. 

Result: Pendimethalin 0.75 kg ha-1 fb straw mulch 5 t ha-1 controlled the mixed flora of weeds which resulted in the lowest weed density, weed dry weight, weed index and highest weed control efficiency which resulted in the highest grain yield and stover yield of mustard. Pre-emergence application of pendimethalin 0.75 kg ha-1 fb straw mulch 5 t ha-1 registered the highest benefit-cost ratio.

Indian mustard [Brassica juncea (L.) Czern and Coss], or Raya or Laha, is a significant oilseed crop cultivated during the winter (rabi) season. Belonging to the Brassicaceae family, it is cultivated in both subtropical and tropical regions. India is one of the 3rd leading oilseed-producing countries in the world after Canada and China. Among the different oilseeds, mustard occupies an area of 6.8 million hectares with 9.1 million tonnes of total production in India (GOI, 2020) and a total area under mustard cultivation is 0.109 million hectares with a production of 0.048 million tonnes and productivity of 440 kg ha-1 in Odisha (Government of Odisha, 2020). In India, mustard is primarily a rabi-season crop, cultivated from September-October to February-March. It thrives in cool, dry conditions and requires sufficient soil moisture during growth and clear, dry weather at maturity. In Odisha, it serves as an intercrop in the rice-wheat+mustard and linseed+mustard cropping systems, with cultivation in districts like Balasore, Dhenkanal, Kandhama, Khordha, Cuttack and Sundargarh. Mustard¢s low production and productivity can be attributed to a range of biotic and abiotic constraints, including weed competition, inadequate and timely use of fertilizerand poor irrigation facilities. Additionally, farmers’ inadequate plant protection measures and poor postharvest techniques, including inadequate marketing support, storageand processing, contribute to the issue.Indian mustard, as an irrigated crop in India, faces increased weed competition, particularly during early crop growth stages. Depending on weed flora, infestation leveland the duration of competition, yield reduction ranges from 20-30% (Punia et al., 2010). Under uncontrolled circumstances, yield loss can go up to 68% (Degra et al., 2011).
       
The magnitude of loss due to weeds depends on the type of weeds, their density and duration of competition with the crop, cultivars, soil types, type of irrigation, weed control measures adopted, cropping pattern followed and several environmental factors. Manual weeding is done 3-4 weeks after seeding and is the most popular method of controlling weeds in Indian mustard. However, the rising wages, lack of labour during peak time and high costs make it necessary to look for other options that are both technically and economically viable so that these measures can control weed infestations below the economic threshold level and enable maximizing this crop's yield potential (Kalita et al., 2017). Weeds significantly impact crop production, especially in mustard. To minimize yield loss, timely and proper weed control is crucial. Various methods exist for effective weed management in mustard. Hand weeding twice showed the maximum control of weeds, which was significantly superior to other treatments. The two-hand weeding being at par with the herbicides coupled with hand weeding increased the pooled mean seed yield of mustard significantly by 46.3% over the weedy check (Degra et al., 2011). Manual weeding, though common and effective, becomes uneconomical due to high wages and the unavailability of labour at the right time. Additionally, intra-row weeds may go uncontrolled. On the other hand, weed control by herbicides has been effective in controlling inter and intra-row weeds. Mulching has a smothering effect on weeds by restricting solar light which affects photosynthesis by weeds. It works well against some perennial weeds as well as annual weeds. Straw mulching prevents weeds from growing because it blocks light from penetrating the soil. Mulches not only help to retain soil moisture, but they also have positive impacts like reducing excessive temperature fluctuations and evaporation, which results in more soil moisture being stored (Jat et al., 2017). During the rabi season, certain weeds appear early, while others emerge at later stage of crop growth. In such situations, the sequential use of herbicides with other methods is crucial for effective weed control. The optimal weed control may be achieved by combining herbicides with manual, culturaland mechanical approaches. Hence, this experiment was planned to study the effect of integrated weed management methods in mustard.
A field experiment was carried out at the Agronomy Main Research Farm, College of Agriculture, Orissa University of Agriculture and Technology (OUAT), Bhubaneswar, during rabi season of 2021-22 and 2022-23. The experimental soil was sandy loam in texture, slightly acidic (pH= 5.86), low in organic carbon content, low in available nitrogen and phosphorousand medium in available potassium. The mean maximum and minimum atmospheric temperatures during the cropping season of Rabi 2021-22 and 2022-23 were 28.3 and 18.0°C, respectively. A total rainfall of 184.3 mm was received during the crop-growing season. The mean relative humidity for morning and evening was 91% and 63%, respectively. Similarly, the mean bright sunshine hour was 4.9 hr/day. In general, all-weather parameters were suitable for the growth of mustard. The experiment was laid out in randomized block design (RBD) consisting of eight treatments and three replications, viz. T1: Pendimethalin 0.75 kg ha-1 as pre-emergence (PE), T2: Pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1, T3: Mechanical weeding at 20 DAS,T4: Manual weeding at 20 DAS,T5: Manual and Mechanical weeding at 20 and 40 DAS,T6: Straw mulching 10 t ha-1at 7 DAS, T7: Weed-free 4 weedings at 20, 40, 60 and 80 DASand T8: Weed check. The crop was sown on 25th October 2021 and 22nd October 2022 and harvested on 6th February 2022 and 4th February 2023, respectively. The soil of the experimental site was sandy clay loam with medium status of available nitrogen, phosphorus and potassium content. Standard procedures were followed for the observations and statistical analysis of data.
Effect on weed flora
 
Theexperimental field was infested mainly with 16 different types of weeds. The most problematic and dominating grass, sedge and broad-leaved weeds found in the experimental plot were Cynodon dactylon (11.74%), Cyperus iria (5.2%)and Cleome viscose (27.86%), respectively.
 
Effect on weed density and dry weight
 
At all stages of crop growth, weed-free plot (4 weeding at 20, 40, 60 and 80 DAS) produced minimum weed density, followed by pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1 (Table 1). At 20 and 40 DAS, pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1, straw mulching 10 t ha-1 at 7 DAS and pendimethalin 0.75 kg ha-1 as PE produced significantly lower weed density. This might be due to effective weed control by pre-emergence application of herbicide and weed smothering effect of straw mulch during the early stages of crop growth. Among other treatments, manual and mechanical weeding at 20 and 40 DAS resulted in lower weed density, while the weedy check consistently exhibited the highest weed density (114.00 m-2 and 74.76 m-2 at 20 and 40 DAS, respectively) throughout crop growth stages. Pre-emergence application of pendimethalin, either solely or combined with straw mulching, consistently showed the least weed density at each growth stage. Similar findings were reported by Shekhawat et al., (2012), Raj et al., (2020) and Chishi et al., (2021).
 

Table 1: Effect of weed management practices on total weed density (Pooled over 2 years).


       
At 20 DAS, the weed-free plot provided the lowest weed dry weight (1.26 gm-2) followed by pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1 (1.58 gm-2), which were at par with pendimethalin 0.75 kg ha-1 as PE (1.74 gm-2) (Table 1). At 40 DAS also, the weed-free plot recorded the lowest weed dry weight (0.73 gm-2) which was at par with pendimethalin 0.75 kg ha-1 fb Straw mulch 5 t ha-1 (0.84 gm-2) and straw mulching 10 t ha-1 at 7 DAS (0.98 g m-2). Maximum weed biomass was observed in the weedy check at all stages of growth. At 20 and 40 DAS, the weed biomass obtained from the weedy check (15.22 and 7.54 gm-2 at 20 and 40 DAS, respectively) was significantly higher than other weed control treatments. The weedy check, where no weed control measures were implemented, exhibited increased weed growth and consequently higher weed biomass. However, the application of the herbicide pendimethalin and straw mulching resulted in weed suppression, leading to reduced weed biomass in the field. Similar results were supported by Shekawat et al., (2012) and Raj et al., (2020) and Patel et al., (2020).
 
Effect on weed control efficiency and weed index
 
A perusal of the data presented in Table 2 revealed that at 40 DAS, weed control efficiency was highest in 4-weedings plot (90.32%) followed by pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1 (88.86%) and straw mulching 10 t ha-1 at 7 DAS (87%). But at20 DAS, pendimethalin 0.75 kg ha-1 as PE recorded higher WCE than straw mulching 10 t ha-1 at 7 DAS which might be due to more effective weed control during the early stages of crop growth by pre-emergence application of pendimethalin.Similar findingswereobserved by Pandey et al., (2019). Manual weeding at 20 DAS produced the lowest weed control efficiency at all stages of crop growth. The highest weed index was observed in the weedy check (56.75%) followed by manual weeding at 20 DAS (36.29%). The lowest weed index was observed in pendimethalin 0.75 kg ha-1 as PE fb Straw mulch 5 t ha-1 (8.24%) indicating its superiority over other treatments.
 

Table 2: Effect of weed management practices on weed control efficiency (WCE) and weed index (WI) (pooled over 2 years).


 
Effect on yield
 
Maximum grain yield was obtained from weed-free plot (1233 kg ha-1) (Table 3). Among different weed control treatments, pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1 produced the highest grain yield (1131 kg ha-1) which was significantly higher than straw mulching 10 t ha-1 at 7 DAS (964 kgha-1). The lowest grain yield was obtained from the weedy check plot (533 kg ha-1). In treatments where pre-emergence herbicide was applied or straw mulching was done, weed growth was reduced, so the crop plant had better growth and yield. Similar results were supported by Kumar et al., (2012), Bamboriya et al., (2017) and Bijarnia et al., (2017). Maximum stover yield was recorded from weed-free plot (2406 kg ha-1) (Table 3). Among various weed management treatments, the highest stover yield was obtained from pendimethalin0.75 kg ha-1 as PE fb straw mulch 5 t ha-1 (2303 kg ha-1) which was statistically at par with straw mulching 10 t ha-1 at 7 DAS (2229 kg ha-1). Stover yield was lowest in the weedy check (1347 kg ha-1).
 

Table 3: Effect of weed management practices on grain yield, stover yield and B: C ratio (pooled over 2 years).


 
Economics
 
Production economics is the main deciding factor for the adoption of a technology by the farmers. New technology aims at reducing the cost of cultivation with increasing yield, net return and B: C ratio.The highest benefit-to-cost ratio was found under pendimethalin 0.75 kg ha-1 as PE fb straw mulch 5 t ha-1 (1.96) followed by pendimethalin 0.75 kg ha-1 as PE (1.89) (Table 3). Weedy check recorded the minimum value of 1.11. These findings conform with Singh et al., (2002), Degra et al., (2011) and Raj et al., (2020). Despite the weed-free plot yielding the highest in terms of both yield and gross returns, the B:C Ratio waslow. This wasdue to the high cost of manpower involved.
The application of pendimethalin 0.75 kg ha-1 fb straw mulch 5 tha-1 was found to be the best treatment, followed by pendimethalin 0.75 kg ha-1 as PE for optimum weed management, resulting in higher productivity and a higher B:C ratio in rabi mustard under East and South Eastern Plain Zones of Odisha, India.
All authors declared that there is no conflict of interest.

  1. Bamboriya, S.D., Kaushik, M.K., Bamboriya, S.D. and Kumawat, P. (2017). Effect of weed management on yield and nutrient uptake in mustard (Brassica juncea). Journal of Applied and Natural Science. 9(2): 1107-1111.

  2. Bijarnia, L.A., Yadav, S.R., Rathore, S.P., Singh, P.S., Saharan, B. and Choudhary, R. (2017). Effect of integrated nutrient management and weed control measures on growth and yield attributes of mustard (Brassica juncea L.). Journal Pharmacognosy and Phytochemistry. 6(4): 483-488.

  3. Chishi, H. M., Zhimo, K., Khiamn, M.and Zhimomi, A. (2021). Integrated weed management in mustard. Indian Journal of Weed Science. 53(3): 310-312.

  4. Degra, M.L., Pareek B.L., Shivran, R.K. and Jat, R.D. (2011). Integrated weed management in Indian mustard and its residual effect on succeeding fodder pearl millet. Indian Journal of Weed Science. 43(1;2): 73-76.

  5. GOI.(2020). Agricultural Statistics at a Glance 2019-20. Ministry of Agriculture and FarmersWelfare, Department of Agriculture, Cooperation andFarmers Welfare, Directorate of Economics and Statistics, New Delhi, India. pp. (2001).

  6. Government of Odisha. (2020). Five Decades of Odisha Agriculture Statistics, Directorate of Agriculture and Food Production, Odisha. pp. 65.

  7. Jat, S., Nath, T., Kumar, D. and Kashiwar, S. (2017). Response of sulphur nutrition and mulching on Indian mustard (B. napus L.). International Journal of Plantand Soil Science.19: 1-11.

  8. Kalita, S., Mundra, S.L. and Sharma N.K. (2017). Effect of weed management and nitrogen nutrition on biochemical and phenological parameters of Indian mustard [Brassica juncea (L.) Czern and Coss.]. Journal of Pharmacognosy and Phytochemistry. 6(5): 727-729.

  9. Kumar, S., Kumar, A., Rana, S.S., Chander, N. and Angiras, N.N. (2012). Integrated weed management in mustard. Indian Journal of Weed Science. 44(3): 139-143.

  10. Pandey, D., Singh, G., Kumar, R., Rao, A., Kumar, M. and Kumar, A. (2019). Effect of weed management practices on growth and yield of Indian mustard. Journal of Pharmacognosy and Phytochemistry. 8(4): 3379-3383.

  11. Patel, D.B., Patel, T.U., Patel, H.H., Patel, D.D., Patel, H.M. and Zinzala, M.J. (2020). Irrigation scheduling and weed management in rabi greengram (Vigna radiata). International Journal of Chemical Studies. 8(3): 204-210.

  12. Punia, S.S., Yadav, D., Brar, Pal., Yadav, R. and Malik Y.P. (2010). Distribution of weed flora of Indian mustard in Haryana. Indian Journal of Weed Science. 42(1;2):70-72.

  13. Raj, P., Singh, R.P., Pal, R., Rajput, P. and Rana, S.S. (2020). Integrated weed management in Indian mustard (Brassica juncea L.). International Journal of Current Microbiology and Applied Sciences. 10: 271-276.

  14. Shekhawat, K., Rathore, S.S., Premi, O.P., Kandpal, B.K. and Chauhan, J.S. (2012). Advances in agronomic management of Indian mustard (Brassica juncea (L.) Czern and Coss): An overview. International Journal of Agronomy. 2012: 408284. P14.

  15. Singh,  R.K., Sharma, S.N., Singh, R. and Pandey, M.D. (2002).  Efficacy of method of planting and weed control measures on nutrient removal of rice (Oryza sativa L.) and associated weeds. Crop Research. 24(3): 425-429.

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