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R. Selvam R. Santhi S. Maragatham C.N. Chandrasekhar Patil Santosh Ganapathi

Abstract

The soil test value is based on the soil test-based fertilizer prescription/ recommendation equation. Each crop harvesting after the next crop is necessary to analyze the soil. Therefore, it is necessary to develop an alternative technique to predict postharvest soil tests after the harvest of every crop. For that a study was conducted in mixed black calcareous soils at Tamil Nadu agricultural University, Coimbatore to develop the post-harvest prediction equations for available nitrogen, phosphorus and potassium in barnyard millet cropping sequence based on a multiple regression model by considering post-harvest soil test value as the dependent variable and initial available nutrients, fertilizer doses and crop yield or crop nutrient uptake as an independent variables. The developed model was validated by computing R2 value, RMSE (root means square error), RE (relative error), and the ratio of performance to deviation (RPD) and the developed model was found to be valid.  Using the validated model, post-harvest soil test values were predicted. A fertilizer recommendation was made for blackgram based on predicted post-harvest soil test values in the barnyard millet-blackgram cropping sequence. The predicted soil test values were compared with actual soil test values and it revealed that the developed model is fairly accurate and best-fitted with more precision. The predicted post-harvest soil test values of barnyard millet could be used in order to prescribe fertilizer for desired yield targets for subsequent crops.

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Keywords

Barnyard millet, Multivariate analysis, Post-harvest soil, Test value

References
Bera, R., Seal, A., Bhattacharyya, P., Das, T., Sarkar, D. & Kangjoo, K. (2006). Targeted yield concept and a framework of fertilizer recommendation in irrigated rice domains of subtropical India. Journal of Zhejiang University SCI. B (7): 963-968. https://doi.org/10.1631/jzus.2006.B0963
Coumaravel, K., Santhi, R., & Maragatham, S.(2016). Prediction of post-harvest soil test values and fertiliser calibrations for maize under integrated plant nutrition system on alfisol. International Journal of Advanced Research and Review 1 (6):146–55.
Gangola, P., Gautam, P., Singh, S. & Kumar, S. (2017). Prediction of post-harvest soil test values for French bean and maize in French bean maize sequence in Mollisol. Ecology, Environment and Conservation February Suppl: S255–S258.
Jackson, M. L. (1973). Soil chemical analysis. New Delhi: Prentice Hall of India Private Limited.
Jamieson, P. D., J. R. Porter & D. R. Wilson. (1991). A test of the computer simulation model ARC-WHEAT1 on wheat crops grown in New Zealand. Field Crops Research, 27 (4), 337–50. https://doi:10.1016/0378-4290(91)90040-3.
Mahajan, G. R. Pandey, R. N. Datta, S. C., Kumar, D., Sahoo, R. N., Patel, K. P., Dayesh, M. & Das, B. (2019. Predicting Post-Harvest Soil Test Values in Hybrid Rice (Oryza Sativa L.) – Wheat (Triticum Aesitvum L.) Cropping Sequence Using a Multivariate Analysis Technique. Commun. Soil Sci. Plant Analysis, 50(13), 1624–1639. https://doi:10.1080/00103624.2019.1631328.
Malley, D. F., Lockhart,L., Wilkinson,P. & Hauser, B. (2000). Determination of carbon, carbonate, nitrogen, and phosphorus in freshwater sediments by near-infrared reflectance spectroscopy: Rapid analysis and a check on conventional analytical methods. Journal of Paleolimnology, 24 (4),415–25. https://doi:10.1023/A:1008151421747,
Olsen, S. R., Cole, C. V. Watanabe, F. S., & Dean,L. (1954). Estimation of available phosphorus in soils by extraction with sodium bicarbonate. Washington DC: United States Department of Agriculture.
Ramamoorthy, B. R., Narasimham, L. & Dinesh, R. S. (1967). Fertilizer application for specific yield targets on Sonora 64 (wheat). Indian Farming, 17 (5),43–45.
Ramamoorthy, B. & Velayutham, M. (1971). Soil test crop response correlation work in India. World soil resources. Rep. 41, Soil Survey and Soil Fertility Research in Asia and Far Asia 14,96–105.
Ranjan, R.K., Singh, Y. V., Singh, S. K. & Dey, P. K. (2018). Fertilizer recommendations developed through soil test crop response studies with integrated plant nutrient management system for field pea in an Inceptisol. Journal of the Indian Society of Soil Science, 66 (3),318–32. https://doi:10.5958/0974-0228.2018.00039.7.
Singh, Y., Parihar, M., Singh, S., Sharma, P. & Dey, P. (2015). Soil test based fertilizer prescriptions under integrated plant nutrient management system for maize in an Inceptisol of Varanasi. Journal of the Indian Society of Soil Sci. 63, 83-87. https://doi:10.5958/0974-0228.2 015.00 011.0.
Singh, Y. V., Singh, S. K. & Dey, P. (2018). Fertilizer requirement of Lentil based on soil test crop response correlation approach in an Inceptisol. Journal of the Indian Society of Soil Science, 66 (3),324–28. https://doi:0.5958/0974-0228.2018.00040.3
Stanford, S. & L. English. (1949). Use of flame photometer in rapid soil tests of K and Ca. Agron. J., 41, 446.
Subba Rao, A. & Lenka, N. K. (2020). Developments on soil health management in India as mirrored through sustained researches and policy interventions. Indian J. Ferti., 16 (12): 1230 – 1242.
Subbaiah, V. V. & Asija, G. K. (1956). A rapid procedure for utilization of available nitrogen in soil. Current Science, 26,258–60.
Suresh. R. & Santhi, R. (2019). Prediction of Post-harvest Soil Test Values and Fertilizer Calibrations for a Maize Based Cropping Sequence under Integrated Plant Nutrition System. Madras Agriculture Journal. 103 (1-3),63-38. https://doi:10.29321/MAJ 2019.000223
Tandon, H.L.S. (2001). Methods of analysis of soils, plants, waters and fertilizer, fertilizer Development and Consultation organization, New Delhi, India.
Williams, P. & Norris, K. (1987). Near-infrared technology in the agricultural and food industries. American Association of Cereal Chemists, Inc. St. Paul, Minnesota, USA.
Zhu, Y., Li, Y., Feng, W., Tian, Y., Yao, X. & Cao, W. (2006). Monitoring leaf nitrogen in wheat using canopy reflectance spectra. Canadian Journal of Plant Science, 86 (4),1037–46. https://doi:10.4141/P05-157
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Selvam, R. ., Santhi, R. ., Maragatham, S. ., Chandrasekhar, C. ., & Ganapathi, P. S. . (2021). Extrapolation of post-harvest soil test values in barnyard millet-based cropping sequence through multivariate analysis. Journal of Applied and Natural Science, 13(4), 1545–1551. https://doi.org/10.31018/jans.v13i4.3115
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