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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 53 issue 3 (june 2019) : 333-337,   Doi: 10.18805/IJARe.A-394

Evaluation of the Use of SPAD-502 Chlorophyll meter for non-destructive estimation of nitrogen status of tea leaf (Camellia sinensis L. Kuntze)

W
Wahono
D
D. Indradewa
B
B.H. Sunarminto
E
E. Haryono
D
D. Prajitno
1Department of Agrotechnology, Faculty of Agriculture and Animal Husbandry, Univeristy of Muhammadiyah Malang, Malang, Jawa Timur. 65146, Indonesia.
Cite article:- Wahono, Indradewa D., Sunarminto B.H., Haryono E., Prajitno D. (2019). Evaluation of the Use of SPAD-502 Chlorophyll meter for non-destructive estimation of nitrogen status of tea leaf (Camellia sinensis L. Kuntze). Indian Journal of Agricultural Research. 53(3): 333-337. doi: 10.18805/IJARe.A-394.

ABSTRACT

Efficient nutrient management requires estimating factual fertilizer requirements. This study was aimed to test the use of chlorophyll meter SPAD-502 to estimate the nitrogen status of tea maintenance leaf. The test was carried out by correlating the SPAD readings with destructively measured leaf nitrogen content using samples oGbtained from nitrogen fertilizer dosage experiments. Observations were made at 15, 32, 45 and 62 days after the application of N fertilizer treatments. The results showed that the SPAD readings and total nitrogen leaf content correlated significantly with the time of observation. Estimation of leaf N content based on the SPAD readings follows linear line equation y = 0.0311x + 1.5856 with coefficient determinant (R²) = 0.62 significantly at P<0.01. It was concluded that SPAD-502 chlorophyll meter is reliable to assess the leaf nitrogen content of tea maintenance leaf and is adequate to predict future nitrogen fertilizer requirements.

REFERENCES

  1. Anonymous, (2017). Indonesian Tea Statistics 2017. BPS-Statistics Indonesia, Jakarta. 
  2. Brunetto, G., Trentin, G., Ceretta, C.A., Girotto, E., Lorensini, F., Miotto, A., et al. (2012). Use of the SPAD-502 in estimating nitrogen content in leaves and grape yield in grapevines in soils with different texture. American Journal of Plant Sciences, 03(11): 1546-1561. 
  3. Coste, S., Baraloto, C., Leroy, C., Marcon, É., Renaud, A., Richardson, A.D., et al. (2010). Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: a calibration test with thirteen tree species of tropical rainforest in French Guiana. Annals of Forest Science, 67(6): 607-607. 
  4. Dutta, R. (2011). Impact of age and management factors on tea yield and modelling the influence of leaf area index on yield variations. Science Asia, 37: 83-87. 
  5. Effendi, D.S., Syakir, M., Yusron, M., Wiratno. (2011). Tea cultivation and post-harvest. Bogor, Indonesia. Center for Plantation Research and Development. pp. 71. 
  6. Gholizadeh, A., Saberioon, M., Borùvka, L., Wayayok, A., Mohd Soom, M.A. (2017). Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management. Information Processing in Agriculture, 4(4): 259-268. 
  7. Güler, S. (2009). Effects of nitrogen on yield and chlorophyll of potato (Solanum tuberosum L.) cultivars. Bangladesh Journal of Botany, 38(3):163-169. 
  8. Hokmalipour, S. and Darbandi, M. H. (2011). Effects of nitrogen fertilizer on chlorophyll content and other leaf indicate in three cultivars of maize (Zea mays L.). World Applied Sciences Journal, 15(12): 1780-1785. 
  9. IBM Corp. (2015). IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.
  10. Mudalagiriyappa, Ali, M. S., Ramachandrappa, B. K., Nagaraju, Shankaralingappa, B. C. (2016). Effect of foliar application of water soluble fertilizers on growth, yield and economics of chickpea (Cicer arietinum L.). Legume Research, 39(4): 610-613. 
  11. Muñoz-Huerta, R., Guevara-Gonzalez, R., Contreras-Medina, L., Torres-Pacheco, I., et al. (2013). A review of methods for sensing the nitrogen status in plants: advantages, disadvantages and recent advances. Sensors, 13(8): 10823-10843. 
  12. Mudau, F.N., Soundy, P., Toit, E.S.D. (2007). Nitrogen, phosphorus, and potassium nutrition increases growth and total polyphenol concentrations of bush tea in a shaded nursery environment. HortTechnology.17(1): 107-110. 
  13. Okano, K., Chutani, K., Matsuo, K. (1997). Suitable level of nitrogen fertilizer for tea (Camellia sinensis L.) plants in relation to growth, photosynthesis, nitrogen uptake and accumulation of free amino acids. Jpn. J. Crop Sci., 66: 279-287. 
  14. Patane, P. and Vibhute, A. (2014). Chlorophyll and nitrogen estimation techniques: a review. International Journal of Engineering Research and Reviews, 2(4): 2348-2697. 
  15. Pushpanathan, K. R., Kumar, M. V., Siddeswaran, K. (2004). Chlorophyll meter as a tool to determine the time of application of N in rice (Oryza sativa L.) - a review. Agricultural Reviews, 25(4): 309-312. 
  16. Rashid, M.T., Voroney, P., Parkin, G. (2005). Predicting nitrogen fertilizer requirements for corn by chlorophyll meter under different N availability conditions. Canadian Journal of Soil Science, 85(1): 149-159. 
  17. Rodriguez, I.R. and Miller, G.L. (2000). Using a chlorophyll meter to determine the chlorophyll concentration, nitrogen concentration, and visual quality of St. Augustinegrass. Horticulture Science, 35(4): 751-754. 
  18. Sarwar, S., Ahmad, F., Hamid, F.S., Khan, B.M., Khurshid, F. (2007). Effect of different nitrogenous fertilizers on the growth and yield of three years old tea (Camellia sinensis) Plants. Sarhad J. Agric., 23(4): 907-910. 
  19. Varvel, G.E., Schepers, J.S., Francis, D.D. (1997). Ability for in-season correction of nitrogen deficiency in corn using chlorophyll meters. Soil Sci. Soc. Am. J., 61: 1233-1239. 
  20. Wang, J., Shen, C., Liu, N., Jin, X., Fan, X., Dong, C., Xu, Y. (2017). Non-destructive evaluation of the leaf nitrogen concentration by in-field visible/near-infrared spectroscopy in pear orchards. Sensors, 17(538): ÿþ538-557. 
  21. Xiong, D., Chen, J., Yu, T., Gao, W., Ling, X., Li, Y., Peng, S., Huang, J. (2015). SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific Reports, 5(1): 13389. 
  22. Yadav, M.R., Kumar, R., Parihar, C.M., Yadav, R.K., Jat, S.L., Ram, H., Meena, R.K., et al. (2017). Strategies for improving nitrogen use efficiency: A review. Agricultural Reviews, 38(1): 29-40. 
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    Research Article

    volume 53 issue 3 (june 2019) : 333-337,   Doi: 10.18805/IJARe.A-394

    Evaluation of the Use of SPAD-502 Chlorophyll meter for non-destructive estimation of nitrogen status of tea leaf (Camellia sinensis L. Kuntze)

    W
    Wahono
    D
    D. Indradewa
    B
    B.H. Sunarminto
    E
    E. Haryono
    D
    D. Prajitno
    1Department of Agrotechnology, Faculty of Agriculture and Animal Husbandry, Univeristy of Muhammadiyah Malang, Malang, Jawa Timur. 65146, Indonesia.
    Cite article:- Wahono, Indradewa D., Sunarminto B.H., Haryono E., Prajitno D. (2019). Evaluation of the Use of SPAD-502 Chlorophyll meter for non-destructive estimation of nitrogen status of tea leaf (Camellia sinensis L. Kuntze). Indian Journal of Agricultural Research. 53(3): 333-337. doi: 10.18805/IJARe.A-394.

    ABSTRACT

    Efficient nutrient management requires estimating factual fertilizer requirements. This study was aimed to test the use of chlorophyll meter SPAD-502 to estimate the nitrogen status of tea maintenance leaf. The test was carried out by correlating the SPAD readings with destructively measured leaf nitrogen content using samples oGbtained from nitrogen fertilizer dosage experiments. Observations were made at 15, 32, 45 and 62 days after the application of N fertilizer treatments. The results showed that the SPAD readings and total nitrogen leaf content correlated significantly with the time of observation. Estimation of leaf N content based on the SPAD readings follows linear line equation y = 0.0311x + 1.5856 with coefficient determinant (R²) = 0.62 significantly at P<0.01. It was concluded that SPAD-502 chlorophyll meter is reliable to assess the leaf nitrogen content of tea maintenance leaf and is adequate to predict future nitrogen fertilizer requirements.

    REFERENCES

    1. Anonymous, (2017). Indonesian Tea Statistics 2017. BPS-Statistics Indonesia, Jakarta. 
    2. Brunetto, G., Trentin, G., Ceretta, C.A., Girotto, E., Lorensini, F., Miotto, A., et al. (2012). Use of the SPAD-502 in estimating nitrogen content in leaves and grape yield in grapevines in soils with different texture. American Journal of Plant Sciences, 03(11): 1546-1561. 
    3. Coste, S., Baraloto, C., Leroy, C., Marcon, É., Renaud, A., Richardson, A.D., et al. (2010). Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: a calibration test with thirteen tree species of tropical rainforest in French Guiana. Annals of Forest Science, 67(6): 607-607. 
    4. Dutta, R. (2011). Impact of age and management factors on tea yield and modelling the influence of leaf area index on yield variations. Science Asia, 37: 83-87. 
    5. Effendi, D.S., Syakir, M., Yusron, M., Wiratno. (2011). Tea cultivation and post-harvest. Bogor, Indonesia. Center for Plantation Research and Development. pp. 71. 
    6. Gholizadeh, A., Saberioon, M., Borùvka, L., Wayayok, A., Mohd Soom, M.A. (2017). Leaf chlorophyll and nitrogen dynamics and their relationship to lowland rice yield for site-specific paddy management. Information Processing in Agriculture, 4(4): 259-268. 
    7. Güler, S. (2009). Effects of nitrogen on yield and chlorophyll of potato (Solanum tuberosum L.) cultivars. Bangladesh Journal of Botany, 38(3):163-169. 
    8. Hokmalipour, S. and Darbandi, M. H. (2011). Effects of nitrogen fertilizer on chlorophyll content and other leaf indicate in three cultivars of maize (Zea mays L.). World Applied Sciences Journal, 15(12): 1780-1785. 
    9. IBM Corp. (2015). IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp.
    10. Mudalagiriyappa, Ali, M. S., Ramachandrappa, B. K., Nagaraju, Shankaralingappa, B. C. (2016). Effect of foliar application of water soluble fertilizers on growth, yield and economics of chickpea (Cicer arietinum L.). Legume Research, 39(4): 610-613. 
    11. Muñoz-Huerta, R., Guevara-Gonzalez, R., Contreras-Medina, L., Torres-Pacheco, I., et al. (2013). A review of methods for sensing the nitrogen status in plants: advantages, disadvantages and recent advances. Sensors, 13(8): 10823-10843. 
    12. Mudau, F.N., Soundy, P., Toit, E.S.D. (2007). Nitrogen, phosphorus, and potassium nutrition increases growth and total polyphenol concentrations of bush tea in a shaded nursery environment. HortTechnology.17(1): 107-110. 
    13. Okano, K., Chutani, K., Matsuo, K. (1997). Suitable level of nitrogen fertilizer for tea (Camellia sinensis L.) plants in relation to growth, photosynthesis, nitrogen uptake and accumulation of free amino acids. Jpn. J. Crop Sci., 66: 279-287. 
    14. Patane, P. and Vibhute, A. (2014). Chlorophyll and nitrogen estimation techniques: a review. International Journal of Engineering Research and Reviews, 2(4): 2348-2697. 
    15. Pushpanathan, K. R., Kumar, M. V., Siddeswaran, K. (2004). Chlorophyll meter as a tool to determine the time of application of N in rice (Oryza sativa L.) - a review. Agricultural Reviews, 25(4): 309-312. 
    16. Rashid, M.T., Voroney, P., Parkin, G. (2005). Predicting nitrogen fertilizer requirements for corn by chlorophyll meter under different N availability conditions. Canadian Journal of Soil Science, 85(1): 149-159. 
    17. Rodriguez, I.R. and Miller, G.L. (2000). Using a chlorophyll meter to determine the chlorophyll concentration, nitrogen concentration, and visual quality of St. Augustinegrass. Horticulture Science, 35(4): 751-754. 
    18. Sarwar, S., Ahmad, F., Hamid, F.S., Khan, B.M., Khurshid, F. (2007). Effect of different nitrogenous fertilizers on the growth and yield of three years old tea (Camellia sinensis) Plants. Sarhad J. Agric., 23(4): 907-910. 
    19. Varvel, G.E., Schepers, J.S., Francis, D.D. (1997). Ability for in-season correction of nitrogen deficiency in corn using chlorophyll meters. Soil Sci. Soc. Am. J., 61: 1233-1239. 
    20. Wang, J., Shen, C., Liu, N., Jin, X., Fan, X., Dong, C., Xu, Y. (2017). Non-destructive evaluation of the leaf nitrogen concentration by in-field visible/near-infrared spectroscopy in pear orchards. Sensors, 17(538): ÿþ538-557. 
    21. Xiong, D., Chen, J., Yu, T., Gao, W., Ling, X., Li, Y., Peng, S., Huang, J. (2015). SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific Reports, 5(1): 13389. 
    22. Yadav, M.R., Kumar, R., Parihar, C.M., Yadav, R.K., Jat, S.L., Ram, H., Meena, R.K., et al. (2017). Strategies for improving nitrogen use efficiency: A review. Agricultural Reviews, 38(1): 29-40. 
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