M. Vijayakumar R. Santhi S. Mohamed Jalaluddin


A study on Soil Test Crop Response based Integrated Plant Nutrition System (STCR - IPNS) were conducted adopting an Inductive cum Targeted yield model in non-calcareous sandy loam soils of Lithic Haplusteptat Regional Research Station, Tamil Nadu Agricultural University, Paiyur, Tamil Nadu during Kharif 2013 in orderto develop fertilizer prescriptions equation (FPEs) through IPNS for the desired yield targets of rice under SRI technique. A ready reckoner of fertilizer doses at varying soil test value, for attaining 6 to 9 t ha-1 target grain yield of rice has been worked out. Using these equations a validation trial was conducted on Kharif 2014 at this station. The grain yield of rice ranged from 2.54 t ha-1 in absolute control to 8.65 t ha-1 in STCR-IPNS-9 t ha-1. The STCR-IPNS @ 8 t ha-1 was effective and economical as compare with any other treatments. The deviation recorded in the achievement of targets aimed was within the range of ± 10 per cent (90 – 110 %) proving the validity of the FPEs. The STCR treatments recorded relatively higher response ratio (RR) and benefit-cost ratio (BCR) over blanket and farmer's practice and STCR-IPNS treatments recorded relatively higher RR and BCR over STCR-NPK alone treatments. Post-harvest soil tests for NPK revealed that there was maintenance of soil fertility. The STCR-IPNS @ 8 t ha-1 was effective and economical as compare with any other treatments. Thus, the Inductive cum Targeted yield model used to develop fertilizer prescription equations provides a strong basis for soil fertility maintenance consistent with high productivity and efficient nutrient management for sustainable and enduring Agriculture.




Fertilizer prescription equations, Lithic Haplustept, SRI technique, STCR - IPNS

Ahmed, S., Raizuddin, M. and KrishnaReddy, P. V. (2002) Optimizing fertilizerdoses for rice in alluvial soils through chemical fertilizers, farm yard manureand green manure using soil test values. Agroped.12:133-140
Andrainaivo, B. and Jolei, B. (2002). Assessment of SRI. Proc. International Conference, Sanya, China, April 1-4, Pp. 162
Bera, R., Seal, A., Bhattacharyya, P., Das, T. H., Sarkar, D., Kangjoo, K. (2006) Targeted yield concept and a framework of fertilizer recommendation in irrigated rice domains of subtropical India, J Zhejiang Univ Sci., 7(12): 963-968.
Bhandari, A. L.,Ladha, J. K., Pathak, H, Padre, A. T., Dawae, D., Gupta, R. K. (2002) Yield and soil nutrient changes in a long-term rice–wheat rotation in India, Soil Sci. Soc. Am. 58: 185–193
Coumaravel, K. (2012) Soil test crop response correlation studies through integrated plant nutrition system for maize – tomato sequence, Doctoral diss, Tamil Nadu Agricultural University, Coimbatore.
DAC [Department of Agriculture and Cooperation](2013). Ministry of Agriculture (www.krishijagran.com)
Dobermann, A., Witt, C., Abdulrachman, S., Gines, H. S., Nagarajan, R., Son, T. T., Tan, P. S., Wang, G. H., Chien, N. V., Thoa, V. T. K., Phung, C. V., Stalin, P., Muthukrishnan, P., Ravi, V., Babu, M., Simbahan, G. C. and Adviento, M. A. (2003). Soil fertility and indigenous nutrient supply in irrigated rice domains of Asia. Agronomy J. 95: 913-923
Hanway, J. J. and Heidal, H. (1952). Soil analysis methods as used in Iowa state college soil testing laboratory. Lowa State College of Agriculture Bulletin. 57: 1-31
Jackson, M. L. 1973. Soil Chemical Analysis. Prentice Hall of India Private Limited, New Delhi.
Kadu, P. P. and Bulbule, A. V. (2007). Nutrient requirement of finger millet based on soil test crop response correlation approach. An Asian J. Soil Sci. 2(2): 51-53
Khosa, M. K., Sekhon, B. S., Ravi, M. S., Benipal, D. S., Benbi, D. K. (2012). Performance of target yield based fertilizer prescription equations in rice-wheat cropping system in Punjab, Indian J. Fert. 8(2): 14-18
Ladha, J. K., Dawe, D., Pathak, H., Padre, A. T., Yadav, R. L., Singh, B., Singh, Y., Singh, P., Kundu, A. L., Sakal, R., Ram, N., Regni, A. P., Gami, S. K., Bhandari, A. L., Amin, R., Yadav, C. R., Bhattarai, E. M., Das, S., Aggarwal, H.P., Gupta, R.K. and Hobbs, P.R. (2003). How extensive are yield declines in long-term rice–wheat experiments in Asia? Field Crops Res., 81: 159-180
Liebig Von, J. and Maruthi Sankar, G. R. (1855). Application of statistical model building and optimization techniques in fertilizer use research, Somani, L. L. Vittal, K. P. R. and Venkateswarlu, B. (Ed.), Dry land Agriculture – State of Art of Research in India (Scientific Publishers, Jodhpur, (1992), 653-670
Manna, M. C., Swarup, A., Wanjari, R. H., Ravankar, H. N., Mishra, B., Saha, M. N., Singh, Y. V., Sahi, D. K. and Sarap, P. A. (2005). Long-term effect of fertilizer and manure application on soil organic carbon storage, soil quality and yield sustainability under sub-humid and semi-arid tropical India, Field Crops Res., 93: 264–280
Olsen, S. R., Cole, C. V., Watanabe, F. S. and Dean, L. (1954). Estimation of available phosphorus in soils by extraction with sodium bicarbonate. U.S.D.A. Circle. 939. (U.S. Govt. Printing Office: Washington, DC)
Pachauri, S. P. and Vinay Singh. (2001). Effect of integrated use of FYM and chemical fertilizers on fertility of onion soil. Ann .plant and soil res .3: 304-306.
Prasad, S. C. (2006). System of Rice Intensification in India: Innovation History and Institutional Challenges. WWF-ICRISAT Dialogue on Water, Food and Environment, Patancheru, Hyderabad (http://www.wassan.org/sri/documents/Shambu_SRI.pdf)
Praveena Katharine, S., Santhi, R., Maragatham, S., Natesan, R., Ravikumar, V. and Pradip Dey. (2013). Soil test based fertilizer prescriptions through inductive cum targeted yield model for transgenic cotton on Inceptisol. IOSR J. Agric. and Veterin. Scie., 6(5): 36-44
Ramamoorthy, B., Narasimham, R. L. and Dinesh, R. S. (1967). Fertilizer application for specific yield targets on Sonora 64 (wheat). Indian Farmi., 17: 43-45
Ravindra Babu, V., Mahendra Kumar, R., Subba Rao, L. V., Surekha K., Padmavathi, Ch., Latha., Prasad, M. S., Vinod, G., Rupela O. P. and Viraktamath B. C. (2006). Evaluation of quality parameters under SRI and conventional method of cultivation. Abstracts of National Symposium on present and future prospect of SRI cultivation” held in ANGRAU – Rajendranagar from 17 – 18th November 2006. P. 108
Ray, P. K., Jana, A. K., Maitra, D. N., Saha, M. N.,Chaudhury, J., Saha, S. and Saha, A. R. (2000). Fertilizer prescriptions on soil test basis for jute, riceand wheat in a typic ustochrept. J. Indian Soc. of Soil Sci ., 48: 79-84
Santhi, R., Natesan, R. and Selvakumari, G. (2002). Soil test based fertilizer recommendation under IPNS for aggregatum onion in Inceptisols of Tamil Nadu. Agropedol., 12: 141-147
Satalagaon, G. S., Chandranath, H. T. and Potdar, M. P. (2014). Response of drill sown onion to nutrient management through soil test crop response (STCR)and soil test laboratory (STL) approach. Karnataka J. Agrl. Sci., 27 (2): 232-233
Season and Crop Report of Tamil Nadu. (2015). Department of Economics and Statistics, Chennai-6
Stockdale, E. A., Lamkin, N. H., Hovi, M., Keatinge, R., Lennartsson, E. K. M., Macdonald, D. W., Padel, S., Tattersall, F. H., Wolfe, M. S. and Watson, C. A. (2001). Agronomic and environmental implications of organic farming systems. Advan. Agron., 70: 261-327
Subba Rao, A. and Srivastava, S. (2000). Soil test based fertilizer use – Amust for sustainable agriculture. Ferti. News, 45: 25-38
Subbiah, B. V. and Asija, G. L. (1956). A rapid procedure for estimation of available nitrogen in soils. Current Sci .25:259-260
Truog, E., Fifty years of soil testing, Proc. Trans 7th Intl. Congr. Soil Sci. Vol. III Commission IV paper No.7:1960, 46-53.
Velayutham, M., Maruthi Sankar, G.R. and Reddy, K.C.K. (1984). in Annual Report of the All India Co-ordinated Research Project on Soil Test Crop Response correlation (ICAR), (Hyderabad, India): 621-642
Citation Format
How to Cite
Vijayakumar, M., Santhi, R., & Jalaluddin, S. (2017). Refinement of fertilizer recommendation based on Soil Test Crop Response technology for rice under System of Rice Intensification. Journal of Applied and Natural Science, 9(2), 855-859. https://doi.org/10.31018/jans.v9i2.1286
More Citation Formats:
Research Articles