Effect of Integrated Weed Management Practices on Growth and Yield of Bt-Cotton in Telangana State, India

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International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 5 Number 2(2016) pp. 17-25 Journal homepage: http://www.ijcmas.com Original Research Article http://dx.doi.org/10.20546/ijcmas.2016.502.002 Effect of Integrated Weed Management Practices on Growth and Yield of Bt-Cotton in Telangana State, India P. Leela Rani 1 *, M. Yakadri and T. Ramprakash AICRP on Weed Management, College of Agriculture, Rajendra Nagar, Hyderabad, India *Corresponding author A B S T R A C T K eywo rd s IWM, Bt cotton, Economics, Weed Management Article Info Accepted: 09 Januaryr 2016 Available Online: 10, February 2016 The field experiment was carried out at college farm, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad during kharif, 2014 with ten weed management practices with an object to find out the most effective weed management practice in Bt cotton. Uncontrolled weed growth during crop growing season resulted in yield loss of upto 86%. Increased yield of 62.6 to 85.9% was observed with various weed management practices. More number of boles per plant (23) kapas yield plant -1 (92 g plant -1 ) and kapas yield (1427 kg ha-1) were noticed with mechanical weeding thrice at 20, 40 and and was significantly differed from all other treatments under study, but it was followed by pre emergence application of pendimethalin @ 1000 g ha -1 followed by 2 hand weedings at 20 and 50, inturn and was onpar with pre emergence application of early post emergence application of pyrithiobac-sodium + quizalofop- p- ethyl @ 62.5+50 g ha -1 fb manual weeding at 50. Higher gross returns (Rs 53513), net retuns (Rs 26763) and B.C ratio (2.0) also obtained from mechanical weeding thrice at 20, 40 and with lower weed drymatter, weed density and higher WCE. Introduction The use of Bt-Cotton in India has grown exponentially since its introduction. Cotton being a wide spaced and relatively slow growing crop during its initial growth stages, suffers from severe weed competition and causing substantial reduction in seed cotton yields upto an extent of 69 per cent (Srinivasulu and Rao, 2000). Weed species in cotton field differ widely due to soil and environmental conditions. Weed control, especially during the first eight weeks of cotton growth is essential due to the vulnerability of cotton to early season weed competition (Buchanan and Burns, 1970). Panwar and Malik (1991) reported that the competition of Trianthema portulacastrum was higher up to 50, whereas, competition of Echinochloa crusgalli was up to 100. Hence, first was the most critical period for cropweed competition. So, use of herbicides is one of the best options to avoid the competition from weeds 17

during the critical period of crop growth. Most often due to incessant rains during kharif season, hand weeding and intercultivation (IC) become difficult in cotton. Further, labours being scarce and costly, growers are forced to fall back on chemicals for weed control. Pre emergence herbicides at recommended doses are generally capable of controlling annual weeds upto a period of days (Pawar et al., 2000). Concentration of these herbicides in soil decreases due to the short half life of herbicide molecules leading to emergence of susceptible weed species beyond days after application of herbicides. In the absence of interculture and with regular monsoon rains, weeds germinate in different spells and compete with crop plants and finally reduce the seed cotton yield. Hence, there is a need to go for sequential application of PRE followed by POE herbicides to manage the late emerging weeds to eliminate weed competition throughout the critical period (Pawar et al., 2000). the productivity of seed cotton in India is 537 kg ha -1 which is below the world average of 7 kg ha -1. In Telangana, the cotton crop is being grown in an area of 16.51 lakh ha with the productivity of 515 kg ha -1. This crop is mostly grown in alfisols of Southern Telangana agro climatic zone. Hence, present investigation was conducted to study the economics of irrigated Bt cotton as influenced by sequential application of herbicides. Materials and Methods The field experiment was carried out at college farm, Professor Jayashankar Telangana State Agricultural university, Rajendranagar, Hyderabad situated at an altitude of 542.3 m above mean sea level at 17 o 19 N latitude and 78 o 23 E longitude during kharif, 2014. The experiment was laid out in a randomized block design with 3 replications and 10 treatments viz., T1, 18 Pendimethalin @ 1000 fb 2 HW at 20 and 50 : T 2, Pendimethalin @ 1000 fb pyrithiobac-sodium @ 62.5 g ha -1 : T 3, Pendimethalin @ 1000 fb pyrithiobacsodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 : T 4, pyrithiobac-sodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 : T 5 pyrithiobac-sodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 fb manual weeding at 50 ; T 6 Pyrithiobac -sodium @ 62.5 g ha -1 + quizalofop p- ethyl @ 50.0 g ha -1 fb paraquat @ 0 g ha -1 ; T 7 Pyrithiobac -sodium @ 62.5 g ha -1 + quizalofop p- ethyl @ 50.0 g ha -1 fb glyphosate @ 2000 g ha -1 ; T 8 Pendimethalin @ 1000 g ha -1 fb glyphosate @ 2000 g ha -1 directed spray; T 9 Mechanical weeding thrice at 20, 40 and and T 10 weedy check. The crop was sown on 7 th July 2014 with spacing of cm x cm. Fertilizers were applied during crop growing season as per the recommendation (150-- Kg N, P 2 O 5 and K 2 O). Herbicides were applied using a knapsack sprayer fitted with flat fan nozzle. Weed count was recorded species wise at,, and using 0.25 m 2 quadrat from each plot and expressed per m 2. Five plants were randomly selected in each plot and tagged to record the regular observations. Four pickings of seed cotton yield was taken from each treatment for recording final yield data. Results and Discussion Weed Flora Cotton crop was infested with a large number of weeds owing to longer duration, slow initial growth. The important monocotyledonous weeds observed in the experiment during crop growing season were Cyperus rotundus, Cynodondactylon, Dactylactenium aegyptium, Digera muricata, Digiteria sanguinalis, Dinebra

retroflexa, Echinicloa colona, Eragrostis cilianensis, Panicum spp. While common dicotyledonous weeds observed were Acalypha rhomboidea, Amaranthus polygamus, Cleome viscose, Commelina bhenghalensis, Parthenium hysterophorus and Trianthema portulacastrum. Table.1 Effect of Different Pre and Post Emergence Herbicides on Weed Dry Matter and Weed Control Efficiency in Cotton During Kharif -2014 Treatment WDM (g/m 2 ) Weed Control efficiency (%) T 1 Pendimethalin fb 2 HW 5.33 5.33 9.27 12.63 89.27 91.37 75.4 49.79 (28) (29) (85 ) (161) T 2 Pendimethalin fb 11.97 12.79 13.64 13.78 45.34 50.80 46.5 41.07 pyrithiobac-sodium (143) (163) (185) (189) T 3 Pendimethalin fb 9.95 11.34 12.38 14.25.66 61.45 55.8 35.47 pyrithiobac-sodium + quizalofop- p- ethyl (103) (128) (153) (207) T4 Pyrithiobac-sodium + quizalofop- p -ethyl 12.87 (165) 14.27 (203) 16.17 (261) 16.76 (280) 36.78 38.76 24.8 12.85 T 5 Pyrithiobac-sodium + quizalofop- p- ethyl fb manual weeding T 6 Pyrithiobac -sodium + paraquat Pyrithiobac-sodium + T 7 glyphosate T 8 Pendimethalin fb glyphosate directed spray 11.19 (126) 12. (151) 11.88 (141) 5.49 (29) 12.67 (161) 13.29 (176) 9.51 () 11.14 (124) 10.64 (13) 12.99 (168) 11.77 (139) 11.41 (132) 10.85 (127) 6.38 (40) 9.94 (98) 11.41 (129) T 9 Mechanical weeding (3) 5.14 5.36 6.11 9.57 (127) (28) (39) (91) T 10 Weedy check 15.71 18.23 18.77 18.66 (261) (332) (352) (349) C.D(0.05) 4.023 1.67 1.96 2.71 C.V 21.73 8.1 9.94 12.12 51.72 91.16 74.0 47.71 42.02 51.61 64.2 56.84 45.85 46.99 67.3 58.92 51.47 87.95 71.7 59.75 89.73 91.65 88.8 71.78 0.00 0.00 0.00 0.00 19

Table.2 Effect of Different Pre and Post Emergence Herbicides on Weed Density and Relativ Density of Cotton during Kharif -2014 Treatment Weed Density (No/m 2 ) Relativ Density (%) T 1 Pendimethalin fb 2 HW 12.85 165 14.44 (208) 11. (127) 9.80 (97) 4.77 8.33 8.62 8.67 T 2 Pendimethalin fb 17.27 17.03 13.09 10.18 8.81 11.69 11.65 9.38 pyrithiobac-sodium (5) (292) (172) (105) T 3 Pendimethalin fb pyrithiobac-sodium + quizalofop- p- ethyl 16.20 (263) 16.83 (283) 12.32 (155) 10.17 (103) 7.58 11.32 10.47 9.14 T4 Pyrithiobac-sodium + quizalofop- p -ethyl 20.53 (427) 15.29 (236) 13.16 (176) 10.63 (112) 12.31 9.45 11.92 9.97 T 5 Pyrithiobac-sodium + quizalofop- p- ethyl fb manual weeding T 6 Pyrithiobac -sodium + paraquat Pyrithiobac-sodium + T 7 glyphosate T 8 Pendimethalin fb glyphosate directed spray 22.26 (495) 19.88 (396) 19.95 (400) 16. (288) 187 13.57 15.59 (243) 15.85 (252) 12.52 (157) 149 12.07 13.18 (176) 11.63 (135) 11.61 (136) 129 11.36 11.80 (139) 10.63 (112) 11.46 (131) 14.28 7.48 10.11 11.52 11.43 9.72 11.92 12.35 11.54 10.09 9.12 9.97 8.31 6. 9.21 11.64 T 9 Mechanical weeding (3) 11.31 (128) 14.91 (222) 8.05 (65) 7.22 (53) T 10 Weedycheck 24.46 17.97 13.64 11.83 (599) (323) (1850 (141) C.D(0.05) 3.51 2.63 2.96 2.22 C.V 11.17 9.89 14.28 12.24 3.69 8.88 4.42 4.75 17.28 12.92 12.55 12.59 20

Table.3 Effect of Different Pre and Post Emergence Herbicides on Growth Parameters of Cotton during Kharif -2014 Treatment Plant height (cm) CDM (g/m 2 ) T 1 Pendimethalin fb 2 HW 6.3 18 68 94 2.67 26.83 86.17 123.00 T 2 Pendimethalin fb pyrithiobac-sodium 7.0 18 66 83 1.83 16.67 17.33 62.33 T 3 Pendimethalin fb pyrithiobac-sodium + quizalofop- p- ethyl 6.3 18 69 87 1.33 16.67 42.17 72.17 T4 Pyrithiobac-sodium + quizalofop- p -ethyl 5.3 14 61 87 1.17 12.67 31.00.67 T 5 Pyrithiobac-sodium + quizalofop- p- ethyl fb manual weeding T 6 Pyrithiobac -sodium + paraquat 6.3 16 66 1.67 24.67 80.00 117.50 5.3 13 61 83 1.58 6.33 35.50 65.50 T 7 Pyrithiobac-sodium + glyphosate 7.3 13 63 85 1.33 8.00 37.50 66.83 T 8 Pendimethalin fb glyphosate directed spray 7.0 19 62 87 1.83 8.00 34.33 64.33 T 9 Mechanical weeding (3) T 10 Weedycheck 7.0 19 68 99 3.17 27.17 98.67 128.67 7.2 14 50 73 1.00 4.33 6.00 36.00 C.D(0.05) NS 4 9 11.00 1.12 3. 13.14 7.77 C.V 14.4 13 9. 7.50 36.94 13.78 16.43 5.64 21

Treatment T 1 T 2 Table.4 Effect of Different Pre and Post Emergence Herbicides on Yield, Yield Attributing and Economics of Cotton during Kharif -2014 Pendimethalin fb 2 HW No. of boles/ plant Kapas yield /plant Kapas yield kg /ha Weed index CC Rs/ha GR Rs/ha NR Rs/ha 19 80 9 15. 32840 45375 12535 Pendimethalin fb pyrithiobac-sodium 8 44 535 62.52 27127 2006-25121 0.07 BC 1.38 T 3 Pendimethalin fb pyrithiobac-sodium + quizalofop- p- ethyl T4 Pyrithiobac-sodium + quizalofop- p -ethyl T 5 Pyrithiobac-sodium + quizalofop- p- ethyl fb manual weeding T 6 Pyrithiobac -sodium + paraquat Pyrithiobac-sodium + T 7 glyphosate T 8 Pendimethalin fb glyphosate directed spray T 9 Mechanical weeding (3) T 10 Weedycheck C.D(0.05) C.V 10 49 637 55.33 27449 2389-250 0.09 9 46 583 59.14 25858 2194-23664 0.08 15 70 1019 28.63 298 38025 8417 1.28 11 57 783 45.10 26758 2936-23822 0.11 12 59 806 43.53 27809 3240-24569 0.12 13 828 41.95 27291 2925-24366 0.11 23 92 1427 0.01 26750 53513 26763 2.00 4 26 200 86.00 23750 750-200 0.03 3.63 16.96 12.4 12.48 231.34 16.671 CC: Cost of Cultivation GR : Gross Returns NR : Net Returns Price / kg : Rs 37.50 Significantly lower weed drymatter and higher weed control efficiency was observed with mechanical weeding thrice at 20, 40 and at all the growth stages (Table 1), however it was onpar with pre emergence application of pendimethalin @ 1000 g ha -1 fb 2 HW at 20 and 50 at and and early post emergence application of pyrithiobac-sodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 fb 22

manual weeding at 50 and pre emergence application of pendimethalin @ 1000 g ha -1 fb pyrithiobac-sodium @ 62.5 g ha -1 at but significantly superior over all other treatments at. However at it was onpar with early postemergence application of pyrithiobac -sodium @ 62.5 g ha -1 + quizalofop p- ethyl @ 50.0 g ha -1 fb paraquat @ 0 g ha -1, Pyrithiobac -sodium @ 62.5 g ha -1 + quizalofop p- ethyl @ 50.0 g ha -1 fb glyphosate @ 2000 g ha -1 and pre emergence application of pendimethalin @ 1000 g ha -1 fb glyphosate @ 2000 g ha -1 directed spray treatments. This may be due to application of non selective herbicides at 45 and that might have resulted in reduced weed drymatter. Highest weed drymatter and the lowest weed control efficiency was observed at all the growth stages in weedy check treatment. The lowest weed density was recorded in mechanical weeding thrice at 20, 40 and across all the growth stages but it was on par with pre emergence application of pendimethalin @ 1000 g ha -1 fb 2 HW at 20 and 50 at and early post emergence application of pyrithiobacsodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 fb manual weeding at 50 and pre emergence application of pendimethalin @ 1000 g ha -1 fb glyphosate @ 2000 g ha -1 directed spray treatments at, but it was significantly differed from all other treatments at and, however it was followed by pre emergence application of pendimethalin @ 1000 g ha -1 fb 2 HW at 20 and 50 treatment but in turn this showed onpar weed density with all the treatments under study. Lower weed density was observed in mechanical weeding thrice at 20, 40 and treatment across all the growth stages except at, where lower weed density was observed in pre emergence application of pendimethalin @ 1000 g ha -1 fb glyphosate @ 2000 g ha -1 directed spray treatment. This may be imposition of non selective herbicide treatment at 45 (Table 2). Plant height did not differ significantly at. However more plant height was observed with mechanical weeding thrice at 20, 40 and treatment and significantly superior over pyrithiobacsodium @ 62.5 g ha -1, fb quizalofop- p- ethyl @ 50.0 g ha -1, Pyrithiobac -sodium @ 62.5 g ha -1 + quizalofop p- ethyl @ 50.0 g ha -1 fb paraquat @ 0 g ha -1, Pyrithiobac -sodium @ 62.5 g ha -1 + quizalofop p- ethyl @ 50.0 g ha -1 fb glyphosate @ 2000 g ha -1, Pendimethalin @ 1000 g ha -1 fb glyphosate @ 2000 g ha -1 directed spray and weedy check treatments. But it was comparable with remaining treatments at. Significantly the lowest plant height was observed with weedy check, but remaining treatments showed onpar plant height with each other at. But at significantly more plant height was observed with mechanical weeding thrice at 20, 40 and and was onpar with pre emergence application of pendimethalin @ 1000 g ha -1 fb 2 HW at 20 and 50 and early post emergence application of pyrithiobac-sodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 fb manual weeding at 50 treatments. The lowest plant height was observed with weedy check. 23

More crop drymatter was noticed with mechanical weeding thrice at 20, 40 and treatment at all growth stages and was onpar with pre emergence application of pendimethalin @ 1000 g ha -1 fb 2 HW at 20 and 50 treatment at, where as at T 9 treatment showed onpar crop drymatter production with T 1 and T 5 treatments. However at and mechanical weeding thrice at 20, 40 and significantly differed from all other treatments, but it was followed by pre emergence application of pendimethalin @ 1000 g ha -1 fb 2 HW at 20 and 50 treatment and inturn this was atpar with early post emergence application of pyrithiobac-sodium @ 62.5 g ha -1 + quizalofop- p- ethyl @ 50.0 g ha -1 fb manual weeding at 50 treatment. Significantly the lowest crop drymatter was observed with weedy check at all the growth stages (Table 3). More number of boles per plant, kapas yield plant +1 and kapas yield ha -1 was observed with mechanical weeding thrice at 20, 40 and and was significantly differed from all other treatments under study, however it was followed by pre emergence application of pendimethalin fb 2 HW at 20 and 50, inturn which was comparable with early post emergence application of pyrithiobac-sodium + quizalofop- p- ethyl fb manual weeding at 50. This result was reflected in terms of lower WI values of 0.01, 15.3 and 28.63 respectively (Table 4). This might be due to lower weed drymatter, weed density, more crop drymatter and more number of boles plant -1. Similar findings were reported by Madhu et al. (2014) from Bt cotton at Bapatla. Based on economic analysis of different weed management practices higher gross returns, net retuns and B.C ratio can be obtained from mechanical weeding thrice at 20, 40 and due to reduced cost of cultivation and increased yield. This inturn followed by pre emergence application of pendimethalin fb 2 HW at 20 and 50 (T 1 ), inturn which was onpar with early post emergence application of pyrithiobac-sodium + quizalofop- p- ethyl fb manual weeding (T 5 ) at 50. It is concluded that, mechanical weeding thrice at 20, 40 and was found to be more economical to get higher kapass yield and net returns. However either pre emergence application of pendimethalin fb 2 hand weedings at 20 and 50 or early post emergence application of pyrithiobacsodium @ 62.5 g ha -1 + quizalofop- p- ethyl quizalofop- p- ethyl @ 50.0 g ha -1 at 20 fb manual weeding at 50 was found to be economical with B.C ratio of 1.38 and 1.28 respectively. References Buchanan, G.A., and Burns, E.R. 1970. Influence of weed competition on cotton. Weed Sci. 18: 149-154. Khadi, B.M., M.R.K, Rao and Singh, M. (2007). The Hindu survey of Indian agriculture 2007: Potential to improve lives of ryots. The Hindu. Madhu, G., K. Srinivasulu, P. Prasuna Rani and Rao, A.S. 2014. Economics of rainfed Bt cotton as influenced by sequential application of herbicides. J. Cotton Res. Dev. 28 (2) 257-259. Panwar, R.S and Malik, R.K.1991. Competition and control of weeds in cotton. J. Res. Haryana Agric. Univ. 21(3):226-234. Pawar, A.K., B.M. Patil., A.P. Karunakar and Satao, R.N.2000. Effect of pre and post emergence herbicides on 24

weed control and yield of cotton. Pestology. 24: 13-17. Srinivasulu, G and Rao, A.S. 2000. Effect of sequential application of herbicides on weed management in cotton. In: Proceedings of symposium on challenges in Agronomic crop management in early 21st century organized by society of Agronomists, Hyderabad, May, 24-25. pp. 71-74. How to cite this article: Leela Rani, P., M. Yakadri and Ramprakash, T. 2016. Effect of Integrated Weed Management Practices on Growth and Yield of Bt-Cotton in Telangana State, India. Int.J.Curr.Microbiol.App.Sci. (2): 17-25. doi: http://dx.doi.org/10.20546/ijcmas.2016.502.002 25