Skip to main navigation menu Skip to main content Skip to site footer

Research Articles

Vol. 13 No. sp1 (2026): Recent Advances in Agriculture

Fertiliser recommendation maps based on soil test crop response for important crops of Upparapalli village of Tirupati district, Andhra Pradesh

DOI
https://doi.org/10.14719/pst.11889
Submitted
21 September 2025
Published
06-03-2026

Abstract

The soil test crop response (STCR) approach facilitates precise estimation of fertiliser needs for a given season and site by considering the baseline soil nutrient levels and the crop’s response in terms of nutrient absorption and yield performance. Efficient nutrient management is essential for sustaining crop productivity while minimising environmental impacts in modern agriculture. However, conventional blanket fertiliser recommendations often fail to account for spatial variability in soil fertility, leading to nutrient overuse, reduced fertilise ruse efficiency and long-term soil degradation. This study integrates geographic information system (GIS)-based soil fertility mapping with
STCR targeted-yield equations to generate precise, site-specific fertiliser recommendations for Upparapalli village in the Tirupati district of Andhra Pradesh. A total of 200 geo-referenced surface soil samples (0–15 cm), collected using a 170 m grid, were analysed for available nitrogen (N), phosphorus (P) and potassium (K). Spatial variability maps for N, P₂O₅ and K₂O were created using the inverse distance weighting (IDW) interpolation method in ArcGIS 10.3 and crop-specific fertiliser requirements were computed for rice, groundnut and sugarcane using STCR equations. The results revealed substantial heterogeneity in soil nutrient distribution across the village, underscoring the limitations of uniform fertiliser application. Overall, the integration of GIS with STCR proved highly effective in promoting
site-specific nutrient management, reducing input costs and preventing nutrient losses to the environment. The approach offers a scalable and scientifically robust framework for precision nutrient management in regions with similar soil and climatic conditions, contributing to sustainable agricultural intensification and improved soil health.

References

  1. 1. Bodirsky BL, Rolinski S, Biewald A, Weindl I, Popp A, Lotze-Campen H. Global food demand scenarios for the 21st century. PLoS One. 2015;10(11):e0139201.
  2. 2. Alexandratos N, Bruinsma J. World agriculture towards 2030/2050: The 2012 revision. Rome: FAO; 2012.
  3. 3. ten Berge HF, Hijbeek R, van Loon MP, Rurinda J, Tesfaye K, Zingore S, et al. Maize crop nutrient input requirements for food security in sub-Saharan Africa. Global Food Security. 2019;23:9–21.
  4. 4. Karsangla AO, Gohain T. Effect of different doses of NPK fertilisers on local rice (Oryza sativa L.) under direct-seeded upland condition. J Soils Crops. 2015;25(1):54–61.
  5. 5. Tiwari RK, Jha A, Tripathi SK. Rice based cropping system and climate change. JNKVV Res J. 2013;47:239–47.
  6. 6. Krishna Murthy R, Bhavya N, Govinda K, Shivakumara MN. Evaluation of different approaches of nutrient recommendations on yield, nutrient use efficiency and economics of groundnut under Alfisols of eastern dry zone of Karnataka. IJBS. 2025;12(1):55–61.
  7. 7. Bhavya N, Krishna Murthy R, Govinda K, Uday Kumar SN, Basavaraj PK, Mohamed Saqeebulla H. Fertiliser prescription model through soil test crop response approach for carrot (Daucus carota) on an Alfisol of southern India. Theor Biol Forum. 2023;12:93–100.
  8. 8. Sumit SO, Kumar N, Lalita RA, Singh H, Kumar V, Kumar S, et al. Soil test crop response based integrated nutrient management for enhancing agronomic performance of sugarcane with different planting materials. Notulae Botanicae Horti Agrobotanici Cluj-Napoca. 2024;52(3):13934.
  9. 9. Subbiah BV, Asija GL. A rapid procedure for estimation of available nitrogen in soils. Curr Sci. 1956;25:259–60.
  10. 10. Watanabe FS, Olsen SR. Test of an ascorbic acid method for determining phosphorus in water and NaHCO₃ extracts from soil. Soil Science Society of America Journal. 1965;29(6):677–78.
  11. 11. Jackson ML. Soil chemical analysis. New Delhi: Prentice Hall of India Private Limited; 1958. p. 498.
  12. 12. Ghube NB, Kadlag AD, Kamble BM. Soil test crop response based integrated plant nutrition system for desired yield target of preseasonal sugarcane ratoon on Inceptisols. J Appl Nat Sci. 2017;9:650–56. https://doi.org/10.31018/jans.v9i2.1279
  13. 13. Ahmed SR, Reddy DVR, Muralidharudu Y, Rao AS. Soil test based fertiliser application. Hyderabad: Department of Agriculture; 2007.
  14. 14. Meghana BS, Leelavathy GP, Vajantha B, Rao GP, Naidu MVS. Assessment of soil fertility status of Rayal Cheruvu village in Ramachandrapuram mandal of Tirupati district, Andhra Pradesh, India. Int J Plant Soil Sci. 2024;36:287–92. https://doi.org/10.9734/ijpss/2024/v36i44481
  15. 15. Wollenhaupt NC, Wolkowski RP, Clayton MK. Mapping soil test phosphorus and potassium for variable-rate fertiliser application. J Prod Agric. 1994;7:441–48. https://doi.org/10.2134/jpa1994.0441
  16. 16. Mulla DJ. Mapping and managing spatial patterns in soil fertility and crop yield. In: Robert PC, Rust RH, Larson WE, editors. Proceedings of soil specific crop management: A workshop on research and development issues. Madison (WI): American Society of Agronomy, Crop Science Society of America and Soil Science Society of America; 1993. p. 15–26. https://doi.org/10.2134/1993.soilspecificcrop.c2
  17. 17. Reddy G, Lalitha BS, Jayadeva HM. Spatial fertiliser recommendation mapping based on soil test crop response equations for important crops using GIS and GPS. Commun Soil Sci Plant Anal. 2021;52:58–75. https://doi.org/10.1080/00103624.2020.1849259
  18. 18. Thirupathi I, Rajeshwar M, Kota NAS, Sravanthi U. Improvement of rice yields in the Mancherial district of Telangana with the use of the STCR targeted yield strategy. Int J Res Agron. 2024;7:263–65. https://doi.org/10.33545/2618060X.2024.v7.i5Sd.776
  19. 19. Kurmi P, Rai HK, Anjna M, Khanam N, Parmar B, Yadav R. Assessment of soil properties under long-term integrated nutrient management using STCR-based targeted yield equations under rice–wheat cropping system. Int J Plant Soil Sci. 2022;34:562–69. https://doi.org/10.9734/ijpss/2022/v34i232462
  20. 20. Kumari S, Kumar G, Kumari R, Kumari V, Kumari P, Raj R, et al. Effect of STCR based application of organic and inorganic fertiliser on chemical properties of soils under rice based cropping system of Indo-Gangetic plains, India. Pharma Innov J. 2021;10:1108–13.
  21. 21. Bhavya N, Basavaraja PK, Krishna Murthy R. Assessment of soil test crop response based fertilization on nutrient requirement, nutrient uptake and nutrient use efficiency of aerobic rice. Chem Sci Rev Lett. 2021;9:1–5.
  22. 22. Regar KL, Singh YV. Fertiliser recommendation based on soil testing for the targeted yield of rice in eastern plain zone of Uttar Pradesh. Bioscan. 2014;9:531–34.
  23. 23. Deshmukh KK, Bisen NK, Singh NK. Effect of soil test crop response technology on productivity and economics of major crops of Seoni district of Madhya Pradesh. J Soils Crops. 2012;22:54–57.
  24. 24. Srinivasan S, Angayarkanni A. Fertiliser recommendation based on soil test crop response for high targeted yield. Oryza. 2010;47:287–90.
  25. 25. Patil DB, Bharambe PR, Deshmukh PW, Rane PV. Response of nutrient management practices on growth, yield and quality of kharif groundnut. J Agric Res Technol. 2016;41:337–42.
  26. 26. Paramasivan M, Kumar NS, Rajkumar A, Nallakurumban B, Rajasekar M, Rajkumar J, et al. Effect of integrated nutrient management practices on growth and yield of groundnut (Arachis hypogaea L.) in an Alfisol of Tamiraparani tract. Legume Res Int J. 2023;46:7–12. https://doi.org/10.18805/LR-5095
  27. 27. Chari M, Madhavi AS, Srijaya T, Dey P. Validation of soil test and yield target based fertiliser prescription equations developed for groundnut in Alfisols. Int J Chem Stud. 2020;8:1252–56. https://doi.org/10.22271/chemi.2020.v8.i6r.10934
  28. 28. Indhuja M, Mohan MM, Kumar MS, Chari MS. Spatial fertiliser recommendation at Rythu Bharosa Kendra level using geographic information system. Andhra Agric J. 2022;70:221–28. https://doi.org/10.61657/aaj.2023.34
  29. 29. Vajantha B, Subbarao M, Nagamadhuri KV, Kumar MH, Sarala NV. STCR approach for optimizing yield, quality and economics in sugarcane. Curr Biotica. 2014;8:309–12.
  30. 30. Reddy TP, Srijaya T, Madhavi A, Sahana F, Lakshmi DV, Ravindhar K. Validation of soil test and yield target based fertiliser prescription equation for sugarcane on Vertisols of northern Telangana zone. Biol Forum Int J. 2022;14:385–89.
  31. 31. Leelavathy GP, Naidu MVS, Krishna TG, Ramana KV, Chandrika V, Sudhakar P. Vertical distribution of nutrients in groundnut growing soils in semiarid region of Varathuru watershed in Chittoor district. J Res ANGRAU. 2021;49:18–26.

Downloads

Download data is not yet available.