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Performance of Bt cotton evaluated in relation to mulching and weed control measures in northwest India
Journal of Cotton Research volume 7, Article number: 35 (2024)
Abstract
Background
Weed infestation in cotton has been reported to offer severe competition and cause yield reduction to a large extent. Weeding via cultural practices is time consuming, tedious, and expensive due to long duration of cotton crop and regular monsoon rains during cotton production in India. Chemical weed control has been successfully utilized in cotton in the recent past. However, continuous use of similar herbicides leads to resistance in weeds against herbicides. And when sprayed to the field, herbicides not only suppress weeds but leave undesirable residues in the soil that are hazardous to the environment. Therefore, a study was performed at cotton research area at Chaudhary Charan Singh Haryana Agricultural University, Hisar, Haryana during two consecutive kharif seasons (2020 and 2021) to determine the most suitable and sustainable weed management strategy through the integration of chemical and cultural methods.
Results
Mulching with rice straw of 7.5 t ha−1 resulted in significantly higher cotton seed yield (3 189 and 3 084 kg ha−1) and better weed control in comparison to no mulch treatments (2 990 and 2904 kg ha−1) in 2020 and 2021, respectively. Among various weed management levels, the significantly lowest cotton seed yield was recorded in untreated control (1 841 and 1 757 kg·ha−1 during 2020 and 2021, respectively) in comparison to other treatments while all other treatments were statistically at par with each other during both years of crop experimentation.
Conclusion
Mulching with rice straw of 7.5 t·ha−1 along with a pre-emergence application of pendimethalin (active ingredient) at 1.5 kg·ha−1 fb (followed by) one hoeings at 45 days after sowing (DAS) and fb glyphosate 2 kg·ha−1 (Shielded spray) at 90 DAS is a viable option for effective control of grassy and broadleaved weeds in Bt cotton in north-west India.
Background
Cotton is planted around 12 million hectares of land in India, which ranks the first in output with 34 million bales among all cotton producing countries in the world. In comparison, the global planting area is 31.6 million hectares, with 113.1 million bales produced. India's average cotton productivity is 469 kg·ha−1, which is low when compared with the global average of 778 kg·ha−1 [Cotton Association of India (CAI), 2022]. Cotton is grown extensively in Karnataka, Madhya Pradesh, Maharashtra, Gujarat, Punjab, Uttar Pradesh, Rajasthan, Haryana, and Tamilnadu. The state of Maharashtra produces the most cotton in India, followed by Gujarat and Andhra Pradesh. The area of cotton crop in Haryana was 6.48 × 105 ha, with the production of 1.89 million bales (1 bale is equal to 170 kg of cotton weight) and a lint yield of 497 kg·ha−1 according to CAI (2022). It is a major cash crop in Haryana during the kharif season, and it contributes significantly to the state's economy in terms of employment and export revenues. Sirsa, Hisar, Jind, and Fatehabad are the four largest cotton-growing districts in Haryana, known as the cotton belt.
Cotton yields fluctuate from year to year due to insect pests and diseases that are directly linked to the region's climatic conditions. Because the cotton has a long development cycle, it is subjected to numerous rains and facing the major issue of weed. Yield losses in cotton due to weeds range from 50% to 85%, depending on the type and severity of the weeds. In cotton, the critical period for weed competition was 15 to 60 days after sowing (DAS) (Sharma, 2008). Cotton fields are infested with a diverse range of weeds that are more adaptable to extreme conditions under climatic, edaphic, and biotic stressors. Weed's great persistence is due to their ability to produce a large number of seeds with excellent viability.
Carpet weed (Trianthema portulacastrum L.), jungle rice (Echinochloa colona L.), and purple nut sedge (Cyperus rotundus L.) are three significant weeds that infest in cotton field in north-west India, causing production up to 70% losses depending on the type and density of weeds (Balyan et al., 1983; Brar et al., 1992). During the first 60 days of crop growth, cotton is extremely susceptible to weed competition. Weed interference, cotton damage, and the critical phase of cotton-weed competition last 30 to 60 days, accounting for almost half of the cotton growing season (Ayyadurai et al., 2013). Cotton is sown in wide row spacing and it grows slowly in the summer due to high temperature ranging from 41 to 47 °C (Prasad et al., 1997), giving weeds plenty of space to grow, especially in the first two months after sowing. In the current agricultural production system, manual weed management without herbicide application is the most labor-intensive, expensive, and unfeasible (due to labour shortages) option. Herbicides have remained the primary tool and the most effective weed control programmes in such circumstances (Zhang, 2003; Norsworthy et al., 2012).
Weeds can be effectively managed when ecological strategies like mulching are combined with chemical methods. Mulching is covering the soil surface with a layer of mulch to improve plant growth and development. Mulch is used for a variety of reasons, one of which is to control weeds (Lamont, 2005). Mulch serves as a physical barrier against weeds. In the absence of inter-row cultivation and with regular monsoon rains, weeds germinate in different spells and compete with cotton plants and cause reduction in the seed cotton yield. It is necessary to apply pre-emergence (PRE) herbicides followed by post-emergence herbicides to reduce weed competition at the critical period (Pawar, et al., 2000). Pre-application of pendimethalin in combination with inter-row cultivation and hand-weeding may be used as efficient weed control methods to get higher yields of flat-sown cotton (Ali et al., 2013).
Despite the availability of several Pre-herbicides for weed control, the post-emergence herbicide is commonly considered to control weeds that arise during the later phases of crop growth. Furthermore, because labour availability for cotton cultivation is becoming increasingly scarce, the use of post emergence herbicides has a greater potential for effective management of weeds (Veeraputhiran et al., 2015).
Up to 90% of cotton crop's output can be lost due to poor weed control. Without doubt, the sustainable weed management would be ensured by the inclusion of non-chemical approaches and diversifying weed control options (Manalil et al., 2016). It is necessary to develop new techniques to combat with weeds since the practice to suppress weeds year after year has been proven to lead to the directed evolution toward weed resistance. The present study was to investigate efficacy of mulching, Pre- and post-emergence herbicide on the performance of cotton and weed dynamics.
Materials and methods
Site description
The experiment was carried out at cotton research area of Chaudhary Charan Singh Haryana Agricultural University (CCS HAU), Hisar during kharif season 2020 and 2021. It is situated in the sub-tropics at longitude 75º46’E, latitude 29º10’N and altitude of 215.2 m above mean sea level in Haryana. The experimental field that cotton was grown in kharif season was the fallow land in the last three years. Digeria arvensis, T. portulacastrum, C. rotundus, E. colona, etc., were the major weeds infested in the experimental field during previous season. Experimental soil was loamy sand with 72.8% sand, 15.9% silt, and 11.3% clay with a pH of 7.8, 0.45% organic carbon, 161 kg·ha−1 available nitrogen, 17 kg·ha−1 available phosphorus, and 279 kg·ha−1 available potassium.
Field preparation and sowing
At proper moisture condition, the field was prepared by a primary harrowing tillage operation with a tractor drawn disc harrow followed by the cultivator and planking after the pre-sowing irrigation. Sowing was done by dibbling method on well-prepared bed with row-to-row spacing of 100 cm and plant-to-plant spacing of 45 cm. Thinning was done to keep one plant per hill. Recommended dose of fertilizer, i.e., N, P2O5, and K2O for Bt cotton was 175, 60, and 60 kg·ha−1 applied in the field. One-third of nitrogen, full amount of phosphorus and potassium is supplied through urea, diammonium phosphate (DAP) and muriate of potash, respectively, at the time of sowing. The remaining two-third of nitrogen was top dressed in two equal splits, i.e., at the squaring and flowering stage. The first irrigation was applied at 55 DAS and the second irrigation applied 30 d after the first irrigation. RCH 776 genotype of Bt cotton was grown as per the recommended package of practices.
Treatment details
The experiment was laid out in a factorial randomized block design with two factors of different levels, replicated thrice. Each plot size was 8.0 × 9.0 m. The first factor was different levels of mulching, i.e., No mulching (M1), Mulching with paddy straw 7.5 t·ha−1 (M2); and the second factor was weed management, i.e., Untreated control (W1), Weed free (W2), Pendimethalin (Pre) (active ingredient, same as follows) 1.5 kg·ha−1 fb (followed by) two hoeings at 45 and 90 DAS (W3), Two hoeings at 30 and 60 DAS fb quizalofop-p-ethyl 62.5 g·ha−1 at 90 DAS (W4), Two hoeings at 30 and 60 DAS fb propaquizafop-p-ethyl 50 g·ha−1 at 90 DAS (W5), Pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb paraquat 1 kg·ha−1 (shielded spray) at 90 DAS (W6), and Pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb glyphosate 2 kg·ha−1 (shielded spray) at 90 DAS (W7). Pre herbicide was applied just after sowing, i.e., pendimethalin as per treatment with the help of knapsack sprayer fitted with flat fan nozzle using a spray with the volume of 500 L·ha−1. Mulching was done after application of pre-emergence herbicide. As cotton crop grown at wide row spacing, shielded spray of paraquat and glyphosate was achieved by directly spraying on weeds by using protected shield around the nozzle. Weed free condition was maintained by hand weeding when it was required.
Weather parameters
Hisar has a semi-arid climate with very hot summers (temperatures soar to 45 °C sometimes) and very cold winters (temperatures drop to 1–2 °C sometimes). The mean monthly temperature exhibits a broad range of variation in minimum and maximum temperatures throughout the summer and winter seasons. The total rainfall received during the kharif cotton growing period was 364.2 mm (2020) and 770.6 mm (2021). Mean weekly maximum and minimum temperatures ranged between 29.7–43.2 °C and 9.8–28.3 °C during kharif 2020, respectively, and 28.9–41.4 °C and 11.8–28.1 °C during kharif 2021, respectively (Fig. 1).
Biometric observations
Cotton plants in each plot were selected randomly to represente the whole plot and the selected plants were labelled. Total seed cotton harvested from two pickings in each plot was recorded as seed cotton yield in kg·ha−1. Data on different weed parameters were recorded before hoeing. Weed density (plants per m2) and biomass were recorded at 30 DAS before hoeing and 120 DAS using two quadrats of 50 cm × 50 cm in each plot. For biomass, all weeds (which were counted during density recording) were cut at ground level, separated by species, sun dried, and then placed in oven at 70 ℃ for 72 h, weighed and recorded as g·m−2.
Statistical analysis
The experimental data recorded for growth and yield characters were subjected to statistical analysis in accordance with “Analysis of Variance” by Fisher (1950). Data on weed density and weed dry weight have shown high degree of variation. Therefore, the data on weed count and weed dry weight were subjected to square root transformation to make analysis of variance more valid. The means were compared using LSD test at 5% probability when the F-values were significant (Table S1).
Results
Weed density
The weed density of all weeds including grass weeds, sedges and broadleaf weeds was considerably lower when compared the treatment of rice straw 7.5 t·ha−1 was mulched at 30 DAS with the no mulch treatment (Table 1). When rice straw was spread at a rate of 7.5 t·ha−1, the density of broadleaf weeds, specifically T. Portulacastrum (1.97 and 2.04 plants·m−2) and D. arvensis (2.02 and 2.03 plants·m−2), was significantly lower in comparison to the no mulch treatment in kharif 2020 and kharif 2021, respectively. Similarly, rice straw (7.5 t·ha−1) significantly decreased the density of grass weed E. colona (1.84 and 1.86 plants·m−2), and also significantly decreased the density of sedge C. rotundus (2.01 and 2.03 plants·m−2) in 2020 and 2021, respectively, as compared with the no mulch treatment. Similarly, at 120 days after sowing, mulching with rice straw 7.5 t·ha−1 significantly decreased the density of broadleaf weeds, specifically T. portulacastrum (2.19 and 2.22 plants·m−2) and D. arvensis (2.23 and 2.26 plants·m−2), in comparison to the no mulch treatment in kharif 2020 and kharif 2021, respectively. Density of grass weed E. colona (2.07 and 2.10 plants·m−2) and sedge C. rotundus (2.17 and 2.19 plants·m−2) was significantly lower with rice mulch 7.5 t·ha−1 in kharif 2020 and 2021, respectively, as compared with the no mulch treatment (Table 2).
Among the different herbicide treatments, application of pendimethalin (Pre) (in a.i.) 1.5 kg·ha−1 had significantly decreased the density of T. portulacastrum and E. colona at 30 DAS in comparison to the treatments where pendimethalin was not applied, during both the years of study. In case of D. arvensis at 30 DAS, significantly reduced density recorded with pendimethalin (Pre) 1.5 kg·ha−1 fb two hoeing at 45 & 90 DAS (3.19 plants·m−2) during kharif 2020 and with two hoeings at 30 & 60 DAS fb quizalofop-p-ethyl 62.5 g·ha−1 at 90 DAS (3.23 plants·m−2) during kharif 2021 in comparison to other treatments. Different herbicide treatments failed to show any effect on the density of C. rotundus at 30 DAS as all treatments were statistically at par with untreated control during both years of crop study (Table 1).
Among different herbicidal treatments, treatment which pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb and glyphosate 2 kg·ha−1 (Shielded spray) at 90 DAS was applied had significantly minimum density of T. portulacastrum (2.10 and 2.13 plants·m−2, respectively), D. arvensis (2.26 and 2.29 plants·m−2, respectively) and E. colona (2.61 and 2.64 plants·m−2, respectively) at 120 DAS (Table 2) when compared with the rest of treatments except weed free during both the years of study. In case of D. arvensis, statistically comparable results were reported with application of pendimethalin (Pre) 1.5 kg·ha−1 fb two hoeings at 45 and 90 DAS and pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb paraquat 1 kg·ha−1 (Shielded spray) at 90 DAS. Different herbicide treatments were found effective in reducing the density of E. colona significantly in comparison with the untreated control, and all the herbicidal treatments were statistically comparable to each other. Among different herbicides treatments during both years, application of pendimethalin (Pre) 1.5 kg·ha−1 fb two hoeings at 45 DAS and 90 DAS resulted in significantly lowest density of C. rotundus, and it was statistically similar to pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb paraquat 1 kg·ha−1 (shielded spray) at 90 DAS and pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb glyphosate 2 kg·ha−1 (shielded spray) at 90 DAS.
Weed dry weight
During both years of crop experiments, mulching with rice straw at 7.5 t·ha−1 recorded the considerably lowest total weed dry weight as compared with no mulch amongst mulching treatments at all crop growth stages (Table 3). In the first and second years of the trial, mulching with rice straw at 7.5 t·ha−1 recorded the significantly lowest total weed dry weight (2.59 and 2.65 g·m−2) at 30 DAS as compared with the no mulch treatment (5.37 and 5.50 g·m−2). In kharif 2020 and 2021, the total dry weight of weeds was significantly lower at 120 DAS when rice straw mulching at 7.5 t·ha−1 (3.72 and 3.77 g·m−2) was applied as compared with the no mulch treatment (6.36 and 6.45 g·m−2), respectively.
The study found that among the weed management levels at 30 DAS, apart from weed free treatment, the treatments with pendimethalin (Pre) (in a.i.) 1.5 kg·ha−1 had the lowest total weed dry weight when compared with other treatments in both years of experimentation. Pre-application of pendimethalin 1.5 kg·ha−1 fb one hoeing at 45 DAS fb glyphosate 2 kg·ha−1 (shielded spray) at 90 DAS significantly reduced the total dry weight of weeds at 120 DAS (4.27 and 4.32 g·m−2) in comparison to other treatments but was statistically comparable to application of pendimethalin (Pre) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb paraquat 1 kg·ha−1 (shielded spray) at 90 DAS (4.29 and 4.35 g·m−2) (Table 3).
Seed cotton yield
The data revealed that seed cotton yield was higher in 2020 than in 2021. Cotton crop mulching with rice straw 7.5 t·ha−1 recorded significantly higher seed cotton yield in first and second year as compared with the no mulch treatment. Among the weed management levels, apart from weed free, cotton treated with pendimethalin (Pre) (in a.i.) 1.5 kg·ha−1 fb one hoeing at 45 DAS fb glyphosate 2 kg·ha−1 (Shielded spray) at 90 DAS produced the highest yield (3 324 kg·ha−1 and 3 233 kg·ha−1) in both years, which was significantly higher than untreated control (1 841 kg·ha−1 and 1 757 kg·ha−1), but statistically at par with all other herbicide treatments (Fig. 2).
Discussion
Weed density was lower in the plots treated with mulching, this might be due to mulching act as a physical barrier in suppressing the emergence of weeds. Pre pendimethalin treatment may have successfully prevented weed seeds from germinating in the early stages and effectively decreased the dynamics of grasses and broadleaf weeds but did not show any effect on the population of C. rotundus. Later stages hoeing and application of non-selective herbicides, i.e., paraquat and glyphosate effectively reduced the density of majority of weed species. Similar findings have been reported by Chaudhari et al.(2017), Punia et al. (2019), Grey et al. (2008), Rajanand et al. (2013), and Singh et al. (2016). Pendimethalin, which slows the cell division and root and shoot growth of the weeds preventing them from emerging, especially during the vital development phase of cotton, may account for the decrease in weed density under mentioned treatments (Punia et al. 2019; Varsha et al., 2019).
In the kharif seasons of 2020 and 2021, there was a considerable difference in rainfall (Fig. 1). Dry weight of weeds was higher in kharif 2021 as compared with 2020 which may be due to considerable variation in rainfall during two years (Kaur et al., 2019).
Pre-emergence application of pendimethalin was found effective for the control of weeds as it minimizes the early weed competition, however the pre-emergence herbicide loses its efficacy after few weeks, thus the problem of late emerging weeds becomes more serious. To manage late emerging weeds during cotton growth period, manual or chemical methods, selective post emergence herbicides “fops” and direct spray of glyphosate and paraquat are effective to control weeds in cotton field. These results are in line with Punia et al. (2019), Kamble et al. (2017), Singh et al. (2016), Chaudhari et al. (2017), and Veeraputhiran et al. (2015).
Decrease in cotton yield is primarily caused by intense weed competition during the early stages. Compared with crops, weeds gathered a higher concentration of mineral nutrients and quickly depleting soil nutrients, and had a negative impact on seed cotton output (Mukhtar et al., 2006; Kaur et al., 2019; Prabhu, 2010). Mulching can provide favourable environment to crop and hindrance to weed growth.
Conclusion
Study demonstrates that mulching with rice straw 7.5 t·ha−1 along with application of pendimethalin (Pre) (in a.i.) 1.5 kg·ha−1 fb one hoeings at 45 fb Glyphosate 2 kg·ha−1 (Shielded spray) at 90 DAS is a viable option for effective control of grassy and broadleaf weeds in Bt cotton field in northwest of India.
Data availability
Data supporting the findings is available.
Abbreviations
- DAS:
-
Days after sowing
- fb :
-
Followed by
- PRE:
-
Pre-emergence
References
Ali H, Abid SA, Ahma S, et al. Impact of integrated weed management on flat-sown cotton (Gossypium hirsutum L.). J Anim Plant Sci. 2013;23(4):1185–92.
Ayyadurai P, Poonguzhalan R, Gokila J. Effect of crop-weed competition in cotton (Gossypium hirsutum L.). Agric Rev. 2013;34:157–61.
Balyan RS, Bhan VM, Malik RK. The effect of weed removal at different times on the seed yield of cotton. Tropical Pest Management. 1983;13(2):9–10.
Brar AS, Brar LS. Bioefficacy of herbicides for weed control in American cotton. J Cotton Res Dev. 1992;6:143–50.
Cotton Association of India (CAI). Cotton area, production and yield. 2022. https://www.caionline.in. Accessed 12 Dec 2023.
Chaudhari DD, Patel HK, Mishra A, et al. Integrated weed management in cotton under irrigated condition of middle Gujarat. Indian J Weed Sci. 2017;49(2):156–8. https://doiorg.publicaciones.saludcastillayleon.es/10.5958/0974-8164.2017.00040.5.
Fisher RA. Statistical methods for research workers. 11th ed. Edinburg, UK: Oliver and Boyd; 1950.
Grey TL, Webster TM, Culpepper A. Weed control as affected by Pendimethalin timing and application method in conservation tillage cotton (Gossypium hirsutum L.). J Cotton Sci. 2008;12:318–24.
Kamble AB, Danawale NJ, Kumar R. Integrated weed management in Bt cotton. Indian J Weed Sci. 2017;49(4):405–8. https://doiorg.publicaciones.saludcastillayleon.es/10.5958/0974-8164.2017.00104.6.
Kaur T, Bhullar MS, Kaur S. Weed control in Bt (Bacillus thuringiensis) cotton with pre mix of pyrithiobac sodium plus quizalofop ethyl in north-west India. Crop Prot. 2019;119:69–75. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.cropro.2019.01.017.
Lamont WJ. Plastics: modifying the microclimate for the production of vegetable crops. Hortic Technol. 2005;15:477–81. https://doiorg.publicaciones.saludcastillayleon.es/10.21273/HORTTECH.15.3.0477.
Manalil S, Coast O, Werth J. Weed management in cotton (Gossypium hirsutum L.) through weed-crop competition: a review. Crop Prot. 2016;30:1–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.cropro.2016.08.008.
Mukhtar AS, Ahmad S, Nazeer AM. Integrated weed management and its effect on the seed cotton yield in cotton (Gossypium hirsutum L.) crop. Pak J Weed Sci Res. 2006;12(1–2):111–7.
Norsworthy JK, Ward SM, Shaw D, et al. Reducing the risks of herbicide resistance: best management practices and recommendations. Weed Sci. 2012;60:31–62. https://doiorg.publicaciones.saludcastillayleon.es/10.1614/WS-D-11-00155.1.
Pawar AK, Patil BM, Karunakar AP, et al. Effect of pre and post-emergence herbicides on weed control and yield of cotton. Pestology. 2000;24:13–7.
Prabhu M. Evaluation of integrated weed management practices in Bt cotton. Coimbatore, India: Tamil Nadu Agricultural University; 2010.
Prasad H, Nehra PL, Nandiwal BS. Weed management studies in American cotton (Gossypium hirsutum L.). J Cotton Res Dev. 1997;11:26–9.
Punia SS, Manjeet YD, Choudhry A. Integrated weed management in cotton under irrigated conditions of Haryana. Indian J Weed Sci. 2019;51(2):158–62. https://doiorg.publicaciones.saludcastillayleon.es/10.5958/0974-8164.2019.00034.0.
Rajanand H, Gurappa YS, Chittapur BM, et al. Integrated weed management in Bt cotton (Gossypium hirsutum L.) under UKP command area of Karnataka. Acta Biologica Indica. 2013;2(2):400–5.
Sharma R. Integrated weed management in field crops. Crop Care. 2008;35(4):41–6.
Singh K, Singh HP, Singh K. Weed management in cotton with pre- and post-emergence herbicides. Indian J Weed Sci. 2016;48(3):348–50. https://doiorg.publicaciones.saludcastillayleon.es/10.5958/0974-8164.2016.00090.3.
Varsha N, Madhavi M, Ramprakash T, et al. Relative density of weeds and weed indices as influenced by weed control options in cotton. Indian J Weed Sci. 2019;51(1):86–91. https://doiorg.publicaciones.saludcastillayleon.es/10.5958/0974-8164.2019.00020.0.
Veeraputhiran R, Srinivasan G. Post-emergence herbicides effect on weeds, yield and economics of Bt cotton. Indian J Weed Sci. 2015;47(4):379–82.
Zhang Z. Development of chemical weed control and integrated weed management in China. Weed Biol Manag. 2003;4:197–203. https://doiorg.publicaciones.saludcastillayleon.es/10.1046/j.1444-6162.2003.00105.x.
Acknowledgements
We would like to thank CCS Haryana Agricultural University, Hisar, Haryana for providing facilities for conducting this research.
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Priyanka D: Conceptualization; writing original draft. Karmal S: Conceptualization, Methodology development, Supervision. Meena S: Investigation, Conceptualization. Sushil K: Statistical analyzing, Writing and investigation.
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Priyanka, D., Karmal, S., Meena, S. et al. Performance of Bt cotton evaluated in relation to mulching and weed control measures in northwest India. J Cotton Res 7, 35 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s42397-024-00199-6
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DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s42397-024-00199-6