New developed models to estimate leaf chlorophyll content in durum wheat (Triticum durum Desf.) under semi-arid conditions
Paper Details
New developed models to estimate leaf chlorophyll content in durum wheat (Triticum durum Desf.) under semi-arid conditions
Abstract
Leaf colors of a plant can be used to identify stress level due to its adaptation to environmental change. The objective of this study is to develop a new functions based on the RGB color model to estimate Chlorophyll levels in durum wheat under stressed conditions and compare it with non-destructive methods (SPAD 502 values). The results showed a significant correlation between Chlorophyll content estimated by RGB color models proposed [100-(R+B) and 100-(2R-B)] and Chlorophyll content measured by SPAD instrument (r = +0.72 and r = +0.77, respectively). In addition, chlorophyll content estimated by RED color model registered a significant correlation with Chlorophyll content measured by SPAD instrument (r = +0.72). The present results shown that, for practical purposes, the chlorophyll content of leaves can be estimated with sufficient accuracy using a portable video camera.
Adamsen FJ, Pinter Jr, Barnes EM. 1999. Measuring wheat senescence with a digital camera. Crop Science 39(3), 719-724.
Arnon DI. 1949. Copper enzymes in isolated chloroplasts; polyphenol oxidases in Beta vulgaris, Plant Physiolgy 24, 1-15.
Anjum Iqbal M, Yanjun Shen, Ruzica Stricevic, Hongwei Pei, Hongyoung Sun, Ebrahim Amiri, Angel Penas, Sara del Rio. 2014. Evaluation of the FAO Aqua-Crop model for winter wheat on the North China Plain under deficit irrigation from field experiment to regional yield simulation. Agricultural Water Management 135, 61– 72.
Guendouz A, Guessoum S, Maamri K, Hafsi 2012. Predicting the efficiency of using the RGB (Red, Green and Blue) reflectance for estimating leaf chlorophyll content of Durum wheat (Triticum durum Desf.) genotypes under semi-arid conditions. American-Eurasian Journal of Sustainable Agriculture 6(2), 102-106.
Guendouz A, Maamari K. 2011. Evaluating durum wheat performance and efficiency of senescence parameter usage in screening under Mediterranean conditions, Electronic Journal of Plant Breeding 2(3), 400-404.
Hafsi M, Mechmeche W, Bouamama L, Djekoune A, Zaharieva M, Monneveux P. 2000. Flag leaf senescence, as evaluated by numerical image analysis, and its relationship with yield under drought in durum wheat. J. Agronomy and Crop Science 185, 275–280.
Hu H, Liu HQ, Zhang H, Jing-huanzhu, Xuguoyao, Xiao-bin, Kee-zheng. 2010. Assessment of chlorophyll content based on image colour analysis, comparison with SPAD-502, paper presented to the, The 2 International Conference on Information Engineering and Computer Science Proceedings, Wuhan, China, 25-26 December 2010.
Jolliffe PA, Tregunna EB. 1968. Effect of Temperature, CO2 Concentration, and Light Intensity on Oxygen Inhibition of Photosynthesis in Wheat Leaves. Plant Physiology 43, 902-906.
Kawashima S, Nakatani M. 1998. An algorithm for estimating chlorophyll content in leaves using a video camera. Annul of Botany 81, 49-54.
Mahdi MA, Ahmed ADE, Daniel KYT. 2012. A New Image Processing Based Technique to Determine Chlorophyll in Plants. American-Eurasian Journal of Agricultural & Environmental Sciences 12(10), 1323-1328.
Moghaddam PA, Derafshi MAH, Shirzad V. 2011. Estimation of single leaf chlorophyll content in sugar beet using machine vision. Turkish Journal of Agriculture and Forestry 35, 563-568.
Schrevens E, Raeymaeckers L. 1992. Colour characterization of golden delicious apples using digital image processing. Acta Horticulturae 304, 159-166.
Teoh CC, Abu Hassan DM, Muhammad Radzali M, Jafni JJ. 2012. Prediction of SPAD chlorophyll meter readings using remote sensing technique. Journal of tropical agriculture and food science 40(1), 127–136.
Zhang M, De Baerdemaeker J, Schrevens E. 2003. Effects of different varieties and shelf storage conditions of chicory on deteriorative color changes using digital image processing and analysis. Food Research International 36(7), 669-676.
A. Guendouz, M. Hafsi, 2017. New developed models to estimate leaf chlorophyll content in durum wheat (Triticum durum Desf.) under semi-arid conditions. Int. J. Biosci., 10(3), 118-123.
Copyright © 2017 by the Authors. This article is an open access article and distributed under the terms and conditions of the Creative Commons Attribution 4.0 (CC BY 4.0) license.