Techno economic feasibility of soybean based cropping systems under varying climates in Madhya Pradesh
DOI:
https://doi.org/10.54386/jam.v25i2.1737Keywords:
Climate change, Crop evapotranspiration, Irrigation, Rainfed agriculture, SoybeanAbstract
Building resilience to climate change through on farm management techniques such as crop diversification, and water management as supplemental irrigation is vital for sustainable agriculture. In the present study, soybean (Glycine Max L.) based cropping systems (sole crop, and intercropped with cotton or pigeon pea) through different combinations of cultivation practices (flatbed, raised bed) and irrigation levels (Rainfed, 66%ETc, 100%ETc and methods (drip, sprinkler) were studied in randomized block design with three replications during kharif season of 2019-20 and 2020-21. Plant growth parameters viz. plant height and dry weight were recorded maximum in rainfed soybean as sole crop, while the number of branches/plant were recorded maximum in sole soybean crop irrigated at 100%ETc. Grain yield (5.37 t ha-1), and water productivity (0.47 kg m-3) were maximum in soybean intercropped with cotton. Overall, cotton+soybean irrigated at 66% ETc can be adopted by farmers to achieve optimal productivity without significant yield penalty.
References
Agarwal, P.K.and Singh, O.P. (2014). An economic analysis of soybean cultivation in Narsinghpur district of Madhya Pradesh, India. Indian J. Agric. Res.,.48 (3):185-191.
Allen, R. G. (1998). Crop evapotranspiration. FAO irrigation and drainage paper, 56, 60-64.
Cheng-Zhi, Cai , Liao Cong-Jian, Xiao Dan, Zeng Xiao-Shan, & Zuo Jin. (2021). Global warming and world soybean yields. J. Agrometeorol., 23(4):367–374. https://doi.org/10.54386/jam.v23i4.139
Dhakad S.S., Ramana Rao, K.V., Bhargava, V.K., Verma, G., Ambawatia, R., Agrawal, V., Verma, S., and Tomar, R.K.S. (2020). Effect of different sowing methods on the growth characters and yield of soybean in vertisol-A review. Intern. J. Current Microbiol. Applied Sci., 9(5): 1607-1618.
Directorate of Economics and Statistics (DAC & FW, MoA &FW) (2022). Agric. Statistics at a Glance. pp. 74.
Fishman, R. (2016). More uneven distributions overturn benefits of higher precipitation for crop yields. Environ. Res. Letters, 11(2): 024004.
Gomez, K.A., and Gomez, A.A. (1984). Statistical Procedures for Agricultural Research. 2nd Ed., John Wiley & Sons, UK. 680 pp.
Jaiswal, A., and Hugar, L.B. (2011). An economic analysis of soybean cultivation vis-a-vis its competing crops in Madhya Pradesh. Karnataka J. Agric. Sci., 24(4): 591-592.
Kaushik, D. K., Patel, S. R., Chandrawanshi, S. K., Khavse, R., Chaudhary, J. L. (2015). Study on agrometeorological indices for soybean crop under different sowing dates in Chhattisgarh region of India. Indian J. Agric. Res., 49(3): 282-285.
Khargkharate, V.K., Kadam, G.L., Pandagale, A.D., Awasarmal, V.B., Rathod, S.S.(2014). Studies on kharif legume intercropping with Bt cotton under rainfed conditions. J. Cotton Res. Develop., 28(2):243-246.
Lobell, D.B., Gourdji,S.M.(2012).The Influence of Climate Change on Global Crop Productivity. Plant Physiol.,160:1686-1697.
Maurya, B.M., Rathi, K.S.(2000).Growth and development of soybean as influenced by intercropping with Pigeon pea and phosphorus level. GAU Res. J., 26(1):1-5.
Mishra, V., Cherkauer, K.A. (2010). Retrospective droughts in the crop growing season: Implications to corn and soybean yield in the Midwestern United States. Agric, Forest Meteorol., 150:1030-1045.
National Food Security Mission (2018). Soybean (Edible oils), Package of Practice,72-75 .https://www.nfsm.gov.in/ReadyReckoner/Oilseeds/PackagePractice_OS2018.pdf
Rajwade, Y.A., Swain, D.K., Tiwari, K.N. and Singh Bhadoria, P.B. (2018). Grain yield, water productivity, and soil nitrogen dynamics in drip irrigated rice under varying nitrogen rates. Agron. J., 110 (3): 868-878.
Sharma, B.R., Rao, K.V., Vittal, K.P.R., Ramakrishna, Y.S., Amarasinghe, U. (2010). Estimating the potential of rainfed agriculture in India: Prospects for water productivity improvements. Agric. Water Manag., 97(1):0-30.
Sharma, T.C. (1996). Simulation of the Kenyan longest dry and wet spells and the largest rain sums using a Markov Model. J. Hydrol.,178: 55-67.
SOPA (2021). Indian: Oilseeds-Area, Production and Productivity. The Soybean Processors Association of India. SOPA, Indore, Madhya Pradesh.
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