Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.391

  • Impact Factor 0.8 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Legume Research, volume 41 issue 3 (june 2018) : 436-440

Site Specific nutrient management through targeted yield equations formulated for green gram (Vigna radiata L. Wilczek) 

Subhashis Saren, Antaryami Mishra, Pradip Dey
1Department of Soil Science and Agricultural Chemistry College of Agriculture, OUAT, Bhubaneswar-751 003, Odisha, India.
  • Submitted22-07-2016|

  • Accepted06-01-2017|

  • First Online 23-10-2017|

  • doi 10.18805/LR-3754

Cite article:- Saren Subhashis, Mishra Antaryami, Dey Pradip (2017). Site Specific nutrient management through targeted yield equations formulated for green gram (Vigna radiata L. Wilczek). Legume Research. 41(3): 436-440. doi: 10.18805/LR-3754.
A field experiment was conducted to formulate the fertilizer prescription equations for achieving desired yield target of green gram (Vigna radiata L. Wilczek) during 2013-14. Three fertility gradient stripes were created by applying no fertilizer, recommended dose of fertilizer (RDF) and double of the RDF in rice in order to develop three fertility gradient stripes during kharif. Each strip was again sub-divided into 24 sub plots and green gram was cultivated with different treatment combinations. One plot was kept as absolute control while FYM was applied in two sub-plots and rest 21 plots were applied with different graded doses of fertilizers. Initial and post harvest soil nutrient status, nutrient uptake, nutrient requirement, soil efficiency, fertilizer efficiency and yield data were recorded. The highest yield (12.15 q ha-1) was achieved with application of 30:50:50 (N: P2O5: K2O). Fertilizer prescription equations were formulated by multiple regression equation for site specific nutrient management on the basis of initial soil fertility status and targeted yield approach. The equations and ready reckoner were developed for higher production with optimum use of fertilizers according to desired yield target of green gram with sustainable manner.  
  1. Azadi, E., Rafiee, M. and Hadis, N. (2013). The effect of different nitrogen levels on seed yield and morphological characteristic of mungbean in the climate condition of Khorramabad. Ann. Biol. Res.,4:51-55.
  2. Dahiya, P., Linnemann, A., Van Boekel, M., Khetarpaul, N., Grewal, R. and Nout, M. (2015). Mung bean: Technological and nutritional potential. Critical Reviews in Food Sci. and Nutrition, 55(5): 670–688.
  3. DE & S. (2011 and 2012). Directorate of Economics & Statistics, Department of Agriculture & Cooperation, New Delhi.
  4. Huang, X., Cai, W. and Xu, B. (2014). Kinetic changes of nutrients and antioxidant capacities of germinated soybean (Glycine max L.) and mung bean (Vigna radiata L.) with germination time. Food Chem., 143: 268–276.
  5. Jackson, M. L. (1973). Soil Chemical Analysis. Prentice Hall Pvt. Ltd, New Delhi. pp 497
  6. Kumar, R. (2014a). Assessment of technology gap and productivity gain through Crop technology demonstration in chickpea. Indian J. Agric. Res., 48: 162-164.
  7. Kumar, R. (2014b). Crop technology demonstration: an effective communication approach for dissemination of wheat production technology. Agricultural Science Digest, 34:131-134.
  8. Mishra, A., Dash, B. B., Nanda, S. K., Das, D. and Dey, P. (2013). Soil Test Based Fertilizer Recommendation for Targeted Yield of Tomato (Lycopersicon esculentum) under Rice-Tomato Cropping System in an Ustochrept of Odisha. Environment & Ecology, 31(2A): 655-658.
  9. Mishra, A., Dash, B. B., Nanda, S. K., Das, D., Sarangi, J., Panda, N. and Mishra, H.T. (2011). Study of soil taxonomy as a basis for extrapolation of fertilizer prescription equations for targeted yield of crops to different Areas- A case study in a Vertic Ustochrept of Orissa. J. Res. Orissa Univ. Agric. Tech. Special Issue, 1(1): 207-214.
  10. Mishra, A., Dash, B.B., Nanda, S.K. and Das, D. (2013). Soil test based fertilizer recommendation for targeted yield of lady’s finger (Abelmoschus esculentus) under rice-lady’s finger cropping system in an Ustochrept of Orissa. Environment & Ecology, 31(1): 58-61.
  11. Mishra, A., Saren, S., Das, D. and Dey, P. (2014). Optimization of chilli yield under rice- chilli cropping system in an Inceptisol of Odisha. Indian Agriculturist, 58 (1):19-24.
  12. Mishra, A, Pradhan, N.K; Nanda, S.K. and Jena, B. (2008). Soil test based fertilizer recommendation for targeted yield of sesamum (Sesamum indicum) under rice-sesamum cropping system in an Inceptisol of Orissa. Environment & Ecology, 26(4A): 1756-1758.
  13. Pogula, S., Mishra, A., Saren, S., Truptimayee and Dey, P. (2016). Soil test based fertilizer recommendation for targeted yield of French bean (Phaseolus vulgaris) under rice-french bean cropping system. International journal of Bio-resource and Stress Management, 7(5): 1128-1130.
  14. Pradhan, N. K., Mishra, A., Padhy, G. P. and Jena, B. (2007). Soil test based fertilizer recommendation for targeted yield of groundnut (Arachis hypogaea) under Rice-Groundnut cropping system in an Inceptisol of Orissa. Env.and Ecol., 25(2): 478-480.
  15. Ramamoorthy, B., Narasimhan, R. L. and Dinesh, R. (1967). Fertilizer application for specific yield targets of Sonera-64 (Wheat). Indian Fmg., 17: 43-45.
  16. Rishi, N. (2009). Significant plant virus diseases in India and a glimpse of modern disease management technology. J. Gen. Pl. Path., 75: 1–18.
  17. Saren, S., Mishra, A., Das, D. and Dey, P. (2015). Soil test based fertilizer recommendation for targeted yield of Cabbage under rice-    cabbage cropping system in an Inceptisol of Odisha. Indian Agriculturist, 59(1): 55-60.
  18. Sharma, K. L., Srinivas, K., Mandal, U. K., Vittal, K. P. R., Grace, K. J. and Maruthi, S. G. R. (2004). Integrated nutrient management strategies for sorghum and green gram in semi-arid Tropical Alfisol. Indian J. Dry land Agric. Res. and Dev., 19: 13-23.
  19. Singh, A. and Shivay, Y.S. (2013). Residual effect of summer green manure crop and zinc applied wheat (Triticum durum) under basmati rice-wheat cropping sequence. Indian. J. of Agron., 58(3): 327–33.
  20. Singh, A., Dikshit, H. K., Jain, N., Singh, D. and Yadav, R.N. (2014). Efficiency of SSR, ISSR and RAPD markers in molecular in molecular characterisation of green gram and other Vigna species. Indian J. Biotech., 13: 81–84.
  21. Singh, N., Singh, H. and Nagarajan, P. (2013). Development of SSR markers in mung bean, Vigna radiata (L.) Wilczek using in silico methods. J. Crop Weed, 9: 69–74.
  22. Subbiah, B.V. and Asija, G. L. (1956). A rapid procedure for the determination of available nitrogen in soils. Current Science, 25: 259 – 260. 
  23. Tang, D., Dong, Y., Ren, H., Li, L. and He, C. (2014). A review of phytochemistry, metabolite changes, and medicinal uses of the common food mung bean and its sprouts (Vigna radiata). Chemistry Central Journal, 8(1): 4.
  24. Troug E. (1960). Fifty years of Soil Testing. Trans. 7th Intl. Cong. Soil Sc., Wisconsin, USA, Part-III and IV, 36-45pp.
  25. Yadav, N., Sarika, M. A., Iquebal and Akram, M. (2009). In-silico analysis and homology modelling of coat-protein of Mungbean Yellow Mosaic India Virus. Journal of Food Legumes, 24(2): 138-141. 

Editorial Board

View all (0)