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

Research Articles

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

Optimization and validation of leaf color chart, SPAD meter and GreenSeeker thresholds for precise nitrogen management in wheat cv. Karan Vandana

DOI
https://doi.org/10.14719/pst.13123
Submitted
8 December 2025
Published
30-01-2026

Abstract

Nitrogen inefficiency in cereal cropping systems leads to suboptimal yields, environmental pollution and reduced fertilizer recovery rates. Non-destructive tools, including the leaf color chart (LCC), Soil plant analysis development meter (SPAD) and GreenSeeker, enable real-time assessment of canopy nitrogen status and site-specific fertilizer recommendations. Therefore, field experiments were conducted at Research farm of Sher-e-Kashmir University of Agricultural Sciences and Technology, Jammu during rabi season 2023–24 and 2024–25 with 14 treatments on sandy clay loam soil in randomized block design (RBD) and 3 replications. The results revealed that significantly higher growth, yield attributes, yield and N uptake were found with the application of LCC ≤ 5 at 20 kg N ha-1 (T6) which was statistically at par with LCC ≤ 4 at 20 kg N ha-1 (T4), GreenSeeker-directed N application ≤ 0.8 normalized difference vegetation index (NDVI) at 20 kg N ha-1 (T14) and sufficiency index-based N application ≤ 95 % at 20 kg N ha-1 (T10) during both the years. Linear regression analysis conducted over 2 years demonstrated that the LCC value had a significant positive correlation with grain yield (GY) at 5 % significance level with an average correlation coefficient of 0.92.

References

  1. 1. United States Department of Agriculture. The world agriculture production [Internet].
  2. 2. Ministry of Agriculture & Farmers Welfare, Government of India. Agricultural statistics at a glance [Internet].
  3. 3. Bhagat V, Kumar S, Gupta M, Bharat R, Kumar V, Jamwal S, et al. Optimizing nitrogen splitting and herbicide use for weed suppression and yield enhancement in wheat (Triticum aestivum L.). Plant Science Today. 2025;12(3):1-9.
  4. 4. Bhagat V, Kumar S, Kaur K, Singh SK. Response of nitrogen scheduling and weed management on growth and yield attributes of wheat (Triticum aestivum L.). Environment Conservation Journal. 2023;24(4):88-95. https://doi.org/10.36953/ECJ.14482441
  5. 5. Bhagat V, Kumar S, Patyal D, Kaur K, Manhas T, Thakur S. Weed dynamics and yield of wheat as influenced by N-scheduling and weed management practices. Biological Forum–An International Journal. 2023;15(12):242-6.
  6. 6. Diacono M, Rubino P, Montemurro F. Precision nitrogen management of wheat: a review. Agronomy for Sustainable Development. 2013;33(1):219-41. https://doi.org/10.1007/s13593-012-0111-z
  7. 7. Jackson ML. Soil chemical analysis. New Delhi: Prentice Hall of India Private Limited; 1973.
  8. 8. Luo L, Zhang Y, Xu G. How does nitrogen shape plant architecture? Journal of Experimental Botany. 2020;71(15):4415-27. https://doi.org/10.1093/jxb/eraa187
  9. 9. Gautam S, Tiwari U, Sapkota B, Sharma B, Parajuli S, Pandit NR, et al. Field evaluation of slow-release nitrogen fertilizers and real-time nitrogen management tools to improve grain yield and nitrogen use efficiency of spring maize in Nepal. Heliyon. 2022;8(6):e09566. https://doi.org/10.1016/j.heliyon.2022.e09566
  10. 10. Jiang Y, Li H, Ma W, Yu W, Chen J, Gao Y, et al. A meta-analysis of the effects of nitrogen fertilizer application on maize (Zea mays L.) yield in Northwest China. Frontiers in Plant Science. 2025;15:1485237. https://doi.org/10.3389/fpls.2024.1485237
  11. 11. Barad BB, Mathukia RK, Bodar KH, Der HN. Real time nitrogen fertilization using precision tools for enhancing productivity of wheat (Triticum aestivum L.). International Journal of Pure and Applied Bioscience. 2018;6(2):434-40. https://doi.org/10.18782/2320-7051.6352
  12. 12. Kumar B, Shaloo, Bisht H, Meena MC, Dey A, Dass A, et al. Nitrogen management sensor optimization, yield, economics and nitrogen use efficiency of different wheat cultivars under varying nitrogen levels. Frontiers in Sustainable Food Systems. 2023;9(7):1228221. https://doi.org/10.3389/fsufs.2023.1228221
  13. 13. Singh B. Long-term fertilizer nitrogen management in crop production and soil health–a rethinking. Agricultural Research Journal. 2023;60(5):779-81. https://doi.org/10.5958/2395-146X.2023.00111.4
  14. 14. Krishnakumar S, Haefele S. Integrated nutrient management and LCC based nitrogen management on soil fertility and yield of rice (Oryza sativa L.). Scientific Research and Essays. 2013;8(41):2059-67. https://doi.org/10.5897/SRE2013.5643
  15. 15. Timilsina D, Marahatta S. Evaluating leaf color chart-based nitrogen management and tillage methods for improved maize yield, nitrogen use efficiency and economic returns in Chitwan, Nepal. Turkish Journal of Agriculture–Food Science and Technology. 2025;13(8):2048-55. https://doi.org/10.24925/turjaf.v13i8.2048-2055.7625
  16. 16. Fayaz S, Kanth RH, Bhat TA, Dar EA, Shah ZA, Bashir M, et al. Estimation of yield and nitrogen use efficiencies in hybrid maize varieties through site specific nitrogen management based on leaf color chart. Scientific Reports. 2025;15(1):4686. https://doi.org/10.1038/s41598-025-89393-3
  17. 17. Ram KV, Raj AD, Patel KH. Effect of nitrogen, phosphorus and potassium on yield, quality, nutrient content and uptake on hybrid maize (Zea mays L.). Agricultural Science Digest–A Research Journal. 2023;43(3):295-300. https://doi.org/10.18805/ag.D-5546
  18. 18. Singh B, Singh V, Singh Y, Kumar A, Vashistha M, Thind HS, et al. Fertilizer nitrogen management in irrigated transplanted rice using dynamic threshold greenness of leaves. Agricultural Research. 2016;5(2):174-81. https://doi.org/10.1007/s40003-016-0213-y

Downloads

Download data is not yet available.