Chlorophyll Content and SPAD Value Relationships Between Varying Nitrogen Application and Cultivar in Rice

STUTI DEBAPRIYA BEHERA; LALITA MOHAN GARNAYAK; BASUDEV BEHERA; RAJENDRA KUMAR PANDA

doi:10.54894/JISCAR.40.1.2022.116784

Authors

STUTI DEBAPRIYA BEHERA Department of Agronomy, College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar - 751 003, Odisha, India
LALITA MOHAN GARNAYAK Department of Agronomy, College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar - 751 003, Odisha, India
BASUDEV BEHERA Department of Agronomy, College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar - 751 003, Odisha, India
RAJENDRA KUMAR PANDA Department of Plant Physiology, College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar - 751 003, Odisha, India

https://doi.org/10.54894/JISCAR.40.1.2022.116784

Keywords:

Chlorophyll a, Chlorophyll b, Total chlorophyll, Linear model, Rice varieties, SPAD value

Abstract

The SPAD-502 meter is a portable tool that is extensively used for the rapid, accurate and nondestructive measurement of leaf chlorophyll concentrations. Measurements with the SPAD-502 meter produce relative SPAD meter values that are proportional to the amount of chlorophyll present in the leaf. In order to convert these values into absolute units of chlorophyll concentration, calibration curves must be derived and utilized. Here, we present calibration equations for rice that can be used to convert SPAD values into total chlorophyll per unit leaf area (mg cm^-2; y = 0.178x - 3.531) or per unit fresh weight of leaf tissue (3.53 mg g^-1). These relationships were derived using leaf analysis of two rice genotypes (cv. ‘Manaswinee’ and cv. ‘Hasanta’) raised with three nutrient management practices (100% Soil Test Based Nitrogen Recommendation (STBNR), 75% STBNR + in situ green manuring (GM) of dhaincha
and 50% STBNR + in situ green manuring of dhaincha) under puddled transplanting condition during Kharif seasons of 2018 and 2019 at Agronomy Main Research Farm, OUAT, Bhubaneswar, Odisha, India. Chlorophyll concentrations were determined at active tillering, heading and physiological maturity stages. Our results revealed that the converted SPAD values differed from photometric measurements of solvent-extracted chlorophyll by regression coefficient (r) values ranging from 0.711 to 0.862 and the relationship was linear using different models. Application of 75% Soil Test Based Nitrogen Recommendation (75 kg N ha^-1) with green manuring of dhaincha in rice showed the maximum linear regression coefficient (r=0.862) in rice genotype ‘Hasanta’ at the heading stage.

Downloads

Download data is not yet available.

References

Arnon, D. (1949). Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant Physiology 24:1-15.

Bojovic, B. and Markovic, A. (2009). Correlation between nitrogen and chlorophyll content in wheat (Triticum aestivum L.). Kragujevac Journal of Science 31: 69-74.

Evans, J. (1989). Partitioning of nitrogen between and within leaves grown under different irradiances. Fundamentals of Plant Biology 16: 533-548.

Hassan, M.S., Khair, A, Haque, M.M., Azad, A.K. and Hamid, A. (2009). Genotypic variation in traditional rice varieties for chlorophyll content, SPAD value and nitrogen use efficiency. Bangladesh Journal of Agricultural Research 34(3): 505-515.

Hoel, B.O. and Solhaug, K.A. (1998). Effect of irradiance on chlorophyll estimation with the Minolta SPAD-502 leaf chlorophyll meter. Annals of Botany 82: 389-392.

Iqbal, A., He, L., Ali, I., Ullah, S., Khan, A., Akhtar, K., Wei, S., Fahad, S., Khan, R. and Jiang, L. (2021). Co incorporation of manure and inorganic fertilizer improves leaf physiological traits, rice production and soil functionality in a paddy field. Scientifc Reports 11:10048. https://doi.org/10.1038/s41598-021-89246-9

Le Roux, X., Sinoquet, H. and Vandame, M. (1999). Spatial distribution of leaf dry weight per area and leaf nitrogen concentration in relation to local radiation regime within an isolated tree crown. Tree Physiology 19: 181-188.

Markwell, J., Osterman, J. and Mitchell, J. (1995). Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynthesis Research 46: 467-472.

Minolta. (1989). Chlorophyll meter SPAD-502. Instruction manual. Minolta Camera Co. Ltd., Radiometric Instruments Operations, Osaka, Japan.

Monje, O.A. and Bugbee, B. (1992). Inherent limitations of nondestructive chlorophyll meters: A comparison of two types of meters. Horticultural Science 27(1): 69-71.

Porra, R.J., Tompso, W.A. and Kriedman, P.E. (1989). Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: verification of concentration of chlorophyll standards by atomic absorption spectroscopy. Biochimica et Biophysica Acta 975: 384-394.

Swain, D. and Sandip, S.J. (2010). Development of SPAD values of medium and long duration rice variety for site specific nitrogen management. Journal of Agronomy 9(2): 38-44.

Uddling, J., Gelang-Alfredsson, J., Piikki, K. and Pleijel, H. (2007). Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynthesis Research 91: 37-46.

Vanisri,S., Sreedhar, M., Jeevan, L., Pavani, A., Chaturvedi, A., Aparna, M., Kumar, D.P., Sunitha, T., Aruna, K., Venkata, V.G.N.T., Raju, C.S., and Jagadeeswar, R. (2017). Evaluation of rice genotypes for chlorophyll content and scavenging enzyme activity under the influence of mannitol stress towards drought tolerance. International Journal of Current Microbiology and Applied Sciences 6(12): 2907-2917.

Wakiyama, Y. (2016). The relationship between SPAD values and leaf blade chlorophyll content throughout the rice development cycle. Japan Agricultural Research Quarterly 50(4): 329-334.

Xiong, D., Chen, J., Yu, T., Gao, W., Ling. X., Li, Y., Peng, S., and Huang, J. (2015). SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics. Scientific Reports 5:13389. https://doi.org/10.1038/srep13389