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Optimizing irrigation and nitrogen levels for improved soil nitrogen dynamics and use efficiency in temperate ecology of Kashmir


Abstract

The present study aimed to evaluate nitrogen dynamics and use efficiency of transplanted rice under variable irrigation regimes and nitrogen levels. Two field experiments were conducted during the 2021 and 2022 rice-growing seasons using a split-plot design with four irrigation treatments in the main plots and four nitrogen levels in the sub-plots, each replicated thrice. Results indicated that nitrogen concentration and uptake by grain and straw were significantly influenced by both irrigation scheduling and nitrogen application. Among irrigation treatments, recommended scheduling and irrigation at field capacity produced the highest nitrogen concentration and uptake, whereas 10 and 20% depletion from field capacity resulted in lower values. For nitrogen levels, 125% of the recommended dose (RDN) recorded the highest grain nitrogen content and uptake, but values were statistically similar to 100% RDN. Flooded rice cultivation led to the greatest nitrogen removal from soil, followed by field capacity and deficit irrigation treatments. The highest nitrogen use efficiency was observed under deficit irrigation, followed by field capacity, while flooded irrigation was the least efficient. Adequate irrigation (I1/I2) resulted in the highest nitrogen uptake and grain yield, while deficit irrigation (I4) saved water but led to lower yield and nitrogen use efficiency, with greater amounts of residual nitrogen remaining in the soil. Overall, applying irrigation at field capacity combined with 100% RDN was found optimal for maximizing nutrient uptake and nitrogen use efficiency in transplanted rice, suggesting a sustainable approach to improve resource use without over-application of water or fertilizer.

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Data availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

References

  1. Zhao, X. et al. Analysis of irrigation demands of rice: Irrigation decision-making needs to consider future rainfall. Agric. Water Manag. 280, 108196. https://doi.org/10.1016/j.agwat.2023.108196 (2023).

    Google Scholar 

  2. Djaman, K. et al. Rice genotype and fertilizer management for improving rice productivity under saline soil conditions. Paddy Water Environ. 18, 43–57. https://doi.org/10.1007/s10333-019-00763-w (2020).

    Google Scholar 

  3. Surendra, U., Raja, P., Jayakumar, M. & Rama Subramoniam, R. Use of efficient water saving techniques for production of rice in India under climate change scenario: A critical review. J. Clean. Prod. 309, 127272. https://doi.org/10.1016/j.jclepro.2021.127272 (2021).

    Google Scholar 

  4. FAO. FAOSTAT Database: Food and Agriculture Organization of the United Nations (FAO, 2023).

    Google Scholar 

  5. Mohidem, N. U., Hashim, N., Shamsudin, R. & Che Man, H. Rice for food security: Revisiting its production, diversity, rice milling process and nutrient content. Agriculture 12(6), 741. https://doi.org/10.3390/agriculture12060741 (2022).

    Google Scholar 

  6. Saha, S., Singh, Y. V., Gaind, S. & Kumar, D. Water productivity and nutrient status of rice soil in response to cultivation techniques and nitrogen fertilization. Paddy Water Environ. 13, 443–453. https://doi.org/10.1007/s10333-014-0462-y (2014).

    Google Scholar 

  7. FAO. FAOSTAT Database: Food and Agriculture Organization of the United Nations (FAO, 2020).

    Google Scholar 

  8. Zarger, S. A., Islam, T. & Magray, J. A. Agricultural crop diversity of Kashmir valley. Biol. Life Sci. Forum 2(1), 30. https://doi.org/10.3390/BDEE2021-09396 (2021).

    Google Scholar 

  9. Arouna, A., Dzomeku, I. K., Shaibu, A. G. & Nurudeen, A. R. Water management for sustainable irrigation in rice (Oryza sativa L.) production: A review. Agronomy 13, 1522. https://doi.org/10.3390/agronomy13061522 (2023).

    Google Scholar 

  10. Barkunan, S. R., Bhanumathi, V. & Sethuram, J. Smart sensor for automatic drip irrigation system for paddy cultivation. Comput. Electr. Eng. 73, 180–193. https://doi.org/10.1016/j.compeleceng.2018.11.013 (2019).

    Google Scholar 

  11. Geethalakshmi, V., Ramesh, T., Palamuthirsolai, A. & Lakshmanan, A. Productivity and water usage of rice as influenced by different cultivation systems. Madras Agric. J. 96(7–12), 349–352. https://doi.org/10.1080/03650340903286422 (2009).

    Google Scholar 

  12. Bouman, B. A. M. & Tuong, T. P. Field water management to save water and increase its productivity in irrigated lowland rice. Agric. Water Manage. 49, 11–30. https://doi.org/10.1016/S0378-3774(00)00128-1 (2001).

    Google Scholar 

  13. Sun, Y. et al. The effects of different water and nitrogen managements on yield and nitrogen use efficiency in hybrid rice of China. Field Crops Res. 127, 85–98. https://doi.org/10.1016/j.fcr.2011.11.015 (2012).

    Google Scholar 

  14. Farooq, M., Wahid, A., Kobayashi, N., Fujita, D. & Basra, S. M. A. Plant drought stress, effects, mechanisms and management. Agron. Sustain. Dev. 29, 185–212. https://doi.org/10.1051/agro:2008021 (2009).

    Google Scholar 

  15. Sujono, J., Matsuo, N., Hiramatsu, K. & Mochizuki, T. Improving the water productivity of paddy rice (Oryza sativa L.) cultivation through water saving irrigation treatments. Agric. Sci. 2, 511–517. https://doi.org/10.4236/as.2011.24066 (2011).

    Google Scholar 

  16. Carrijo, D. R., Lundy, M. E. & Linquist, B. A. Rice yields and water use under alternate wetting and drying irrigation: A metaanalysis. Field Crops Res. 203, 173–180. https://doi.org/10.1016/j.fcr.2016.12.002 (2017).

    Google Scholar 

  17. Maheswari, J., Maragatham, N. & Martin, G. J. Relatively simple irrigation scheduling and N application enhances the productivity of aerobic rice. Am. J. Plant Physiol. 2(4), 261–268. https://doi.org/10.3923/ajpp.2007.261.268 (2007).

    Google Scholar 

  18. Vijayakumar, S. et al. Effect of potassium fertilization on growth indices, yield attributes and economics of dry direct seeded basmati rice (Oryza sativa L.). Oryza 56(2), 214–220. https://doi.org/10.35709/ory.2019.56.2.6 (2019).

    Google Scholar 

  19. Ockerby, S. E. & Fukai, S. The management of rice grown on raised beds with continuous furrow irrigation. Field Crops Res. 69, 215–226. https://doi.org/10.1016/S0378-4290(00)00140-4 (2001).

    Google Scholar 

  20. Martins, M. A. et al. On the sustainability of paddy rice cultivation in the Paraíba do Sul river basin (Brazil) under a changing climate. J. Clean. Prod. 386, 35760. https://doi.org/10.1016/j.jclepro.2022.135760 (2023).

    Google Scholar 

  21. Zeng, Y. F., Chen, C. T. & Lin, G. F. Practical application of an intelligent irrigation system to rice paddies in Taiwan. Agric. Water Manage. 280, 108216. https://doi.org/10.1016/j.agwat.2023.108216 (2023).

    Google Scholar 

  22. He, G., Wang, Z. & Cui, Z. Managing irrigation water for sustainable rice production in China. J. Clean. Prod. 245, 118928. https://doi.org/10.1016/j.jclepro.2019.118928 (2020).

    Google Scholar 

  23. Abioye, E. A. et al. IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment. Inf. Process. Agric. https://doi.org/10.1016/j.inpa.2020.05.004 (2020).

    Google Scholar 

  24. Delgoda, D., Malano, H., Saleem, S. K. & Halgamuge, M. N. Irrigation control based on model predictive control (MPC): Formulation of theory and validation using weather forecast data and AQUACROP model. Environ. Modell. Softw. 78, 40–53. https://doi.org/10.1016/j.envsoft.2015.12.012 (2016).

    Google Scholar 

  25. Bwambale, E., Abagale, F. K. & Anornu, G. K. Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review. Agric. Water Manage. 260, 107324. https://doi.org/10.1016/j.agwat.2021.107324 (2022).

    Google Scholar 

  26. Soulis, K. & Elmaloglou, S. Optimum soil water content sensors placement for surface drip irrigation scheduling in layered soils. Comput. Electron. Agric. 152, 1–8. https://doi.org/10.1016/j.compag.2018.06.052 (2018).

    Google Scholar 

  27. Wu, H. et al. Effects of post-anthesis nitrogen uptake and translocation on photosynthetic production and rice yield. Sci. Rep. 8, 12891 (2018).

    Google Scholar 

  28. Herrera, J. M. et al. Emerging and established technologies to increase nitrogen use efficiency of cereals. Agronomy 6, 25. https://doi.org/10.3390/agronomy6020025 (2016).

    Google Scholar 

  29. Liu, Y. et al. Genomic basis of geographical adaptation to soil nitrogen in rice. Nature 590, 600–605. https://doi.org/10.1038/s41586-020-03091-w (2021).

    Google Scholar 

  30. Gramma, V., Kontbay, K. & Wahl, V. Crops for the future: On the way to reduce nitrogen pollution. Am. J. Bot. 107, 1211–1213. https://doi.org/10.1002/ajb2.1527 (2020).

    Google Scholar 

  31. Zhang, Z., Hu, B. & Chu, C. Towards understanding the hierarchical nitrogen signalling network in plants. Curr. Opin. Plant Biol. 2020(55), 60–66. https://doi.org/10.1016/j.pbi.2020.03.006 (2020).

    Google Scholar 

  32. Piper, C. S. Soil and Plant Analysis (Hans Publisher, 1966).

    Google Scholar 

  33. Parihar, S. K. & Sandhu, B. S. Estimation of bulk density using a pycnometer. J. Soil Sci. 19(2), 251–258 (1968).

    Google Scholar 

  34. Jackson, M. L. Soil Chemical Analysis (Prentice Hall of India Private Limited, 1973).

    Google Scholar 

  35. Walkley, A. & Black, I. A. An examination of the Degtjareff method for determining soil organic carbon matter and a proposed modification of the chromic acid titration method. Soil Sci. 37, 29–38 (1934).

    Google Scholar 

  36. Subbiah, B. V. & Asija, G. L. A rapid procedure for the estimation of available nitrogen in soils. Curr. Sci. 25, 259–260 (1956).

    Google Scholar 

  37. Olsen, S. R., Cole, C. V., Watanabe, F. S. & Dean, L. A. Estimation of Available Phosphorous in Soils by Extraction with Sodium Bicarbonbate (USDA Circular, 939 U.S. Government Printing Office, 1954).

    Google Scholar 

  38. Merwin, H. D. & Peech, M. Exchangeability of soil potassium in the sand, silt and clay fraction as influenced by the nature of complementary exchangeable cations. Soil Soc. Am. Proc. 15, 125–128 (1950).

    Google Scholar 

  39. Cassman, K. G. et al. Opportunities for increased nitrogen-use efficiency from improved resource management in irrigated rice systems. Field Crop. Res. 56, 7–39 (1998).

    Google Scholar 

  40. Baligar, V. C., Fageria, N. K. & He, Z. L. Nutrient use efficiency in plants. Commun. Soil Sci. Plant Anal. 32, 921–950 (2001).

    Google Scholar 

  41. Chowdhury, M. R., Kumar, V., Sattar, A. & Brahmachari, K. Studies on the water use efficiency and nutrient uptake by rice under system of rice intensification. Bioscan 9(1), 85–88 (2014).

    Google Scholar 

  42. Wang, Z. et al. Grain yield, water and nitrogen use efficiencies of rice as influenced by irrigation regimes and their interaction with nitrogen rates. Field Crop. Res. 193, 54–69 (2016).

    Google Scholar 

  43. Sandhu, S. S. & Mahal, S. S. Performance or rice (Oryza sativa L.) under different planting methods, nitrogen level and irrigation schedules. Indian J. Agron. 59(3), 392–397 (2014).

    Google Scholar 

  44. Elina, O. et al. High-acclimation capacity for growth and role of soil fertility after long-range transfer of Betula pendula and B. pubescens between Finland and Italy. J. Forest. Res. 36(1), 1–19 (2025).

    Google Scholar 

  45. Amgain, N. R., Rabbany, A., Galindo, S. & Bhadha, J. H. Effects of water management strategies and nitrogen fertilizer on rice yield cultivated on histosols. J. Rice Res. Dev. 4(1), 331–338 (2021).

    Google Scholar 

  46. Wang, Y. et al. The effects of nitrogen supply and water regime on instantaneous WUE, time-integrated WUE and carbon isotope discrimination in winter wheat. Field Crop. Res. 144, 236–244 (2013).

    Google Scholar 

  47. Malav, J. K. et al. Rice yield and available nutrients status of loamy sand soil as influenced by different levels of silicon and nitrogen. Int. J. Curr. Microbiol. Appl. Sci. 7(2), 619–632 (2018).

    Google Scholar 

  48. Kabat, B. & Satapathy, M. R. Effect of planting dates and N levels on grain yield and N uptake by hybrid rice. ORYZA Int. J. Rice 50(4), 409–411 (2013).

    Google Scholar 

  49. Mboyerwa, P. A., Kibret, K., Mtakwa, P. & Aschalew, A. Lowering nitrogen rates under the system of rice intensification enhanced rice productivity and nitrogen use efficiency in irrigated lowland rice. Heliyon 8, e09140 (2022).

    Google Scholar 

  50. Thakur, A. K., Rath, S. & Mandal, K. G. Differential responses of system of rice intensification (SRI) and conventional flooded-rice management methods to applications of nitrogen fertilizer. Plant. Soil 370(1), 59–71 (2013).

    Google Scholar 

  51. Zhang, Z. et al. Nitrogen effects on yield, quality and physiological characteristics of giant rice. Agronomy 10, 1816 (2020).

    Google Scholar 

  52. Yang, J., Zhou, Q. & Zhang, J. Moderate wetting and drying increases rice yield and reduces water use, grain arsenic level, and methane emission. Crop. J. 5, 151–158 (2017).

    Google Scholar 

  53. Sharma, R. P., Patha, S. K. & Singh, R. C. Effect of nitrogen and weed management practices in direct seeded rice (Oryza sativa) under upland conditions. Indian J. Agron. 52, 114–119 (2007).

    Google Scholar 

  54. Gupta, R. K. et al. Need based fertilizer nitrogen management using leaf colour chart in hybrid rice (Oryza sativa L.). Indian J. Agric. Sci. 81(12), 1153–1157 (2011).

    Google Scholar 

  55. Kour, S., Jalali, V. K., Sharma, R. K. & Bali, A. S. Comparative nitrogen use efficiency in hybrid and indigenous cultivars of rice. J. Res. 6, 1–4 (2007).

    Google Scholar 

  56. Singh, Y., Gupta, R. K., Singh, B. & Gupta, S. Efficient management of fertilizer N in wet direct-seeded rice (Oryza sativa L.) in northwest India. Indian J. Agric. Sci. 77, 561–564 (2007).

    Google Scholar 

  57. Hazra, K. K. & Chandra, S. Effect of extended water stress on growth, tiller mortality and nutrient recovery under system of rice intensification. Proc. Natl. Acad. Sci. India Sect. B Biol. Sci. 86(1), 105–113 (2016).

    Google Scholar 

  58. Liu, L. et al. Combination of site-specific nitrogen management and alternate wetting and drying irrigation increases grain yield and nitrogen and water use efficiency in super rice. Field Crop. Res. 154, 226–235 (2013).

    Google Scholar 

  59. Mir, M. S. et al. Influence of sowing dates and weed management practices on weed dynamics, productivity and profitability of direct seeded rice. Sci. Rep. 14, 18877. https://doi.org/10.1038/s41598-024-69519-9 (2024).

    Google Scholar 

  60. Chu, G. et al. Alternate wetting and moderate drying increases rice yield and reduces methane emission in paddy field with wheat straw residue incorporation. F. Ener. Sec. 4(3), 238–254 (2015).

    Google Scholar 

  61. Liu, T. et al. Effects of stand density regulation on soil carbon pools in different-aged Larix principis-rupprechtii plantations and soil respiration model enhancement. J. Forest. Res. 36(1), 141 (2025).

    Google Scholar 

  62. Liang, K. et al. Grain yield, water productivity and CH4 emission of irrigated rice in response to water management in south China. Agri. Wat. Man. 163, 319–331 (2016).

    Google Scholar 

  63. Ren, B. et al. Water absorption is affected by the nitrogen supply to rice plants. Pl. Soi. 396, 397–410 (2015).

    Google Scholar 

  64. Zanini, M. et al. Soil organic carbon sequestration during secondary forest succession in a Mediterranean area. J. Forest. Res. 36(1), 71 (2025).

    Google Scholar 

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Acknowledgements

The authors wish to thank Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R365), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia for supporting this study

Funding

Open Access funding enabled and organized by Projekt DEAL. This work is supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R365), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia for supporting this study. The article processing charge was funded by the Open Access Publication Fund of Humboldt-Universität zu Berlin.

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All authors conceived and designed the study and experiments; MSM, WR, RHK, EAD, ZAH, DA, PS, AS, LS, UF and DS performed the experiments; LAA-S, LAA, AAA, SS, and AE analyzed the data, and wrote the manuscript; All authors reviewed and approved the final manuscript.

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Zahoor Ahmad Shah, Amged El-Harairy or Samy Sayed.

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Mir, M.S., Raja, W., Kanth, R.H. et al. Optimizing irrigation and nitrogen levels for improved soil nitrogen dynamics and use efficiency in temperate ecology of Kashmir.
Sci Rep (2025). https://doi.org/10.1038/s41598-025-32465-1

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  • DOI: https://doi.org/10.1038/s41598-025-32465-1

Keywords

  • Irrigation
  • Nitrogen
  • Nutrient uptake
  • Transplanted rice
  • Flooded rice
  • Nitrogen use efficiency


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