Related Links
Estimation of canopy cover, leaf area index and leaf nitrogen content in sugar beet using digital photography | ||
| چغندرقند | ||
| Article 3, Volume 32, Issue 2, October 2016, Pages 123-133 PDF (742.64 K) | ||
| Document Type: Scientific - Research | ||
| DOI: 10.22092/jsb.2016.107217 | ||
| Authors | ||
| Hamidreza Kamali* 1; Shahrokh Zand Parsa2; Masoume Zare3 | ||
| 1PhD student, Shiraz University, I.R. of Iran | ||
| 2Associate professor, Shiraz University, I.R. of Iran | ||
| 3MS Graduate, Shiraz University, I.R. of Iran | ||
| Abstract | ||
| In this study, digital photography was used to estimate canopy cover, leaf area index and nitrogen uptake by sugar beet (Beta vulgaris L.). For doing this, Pars cultivar was sown in a silty clay loam soil for two years, 2012-14. Irrigation treatments included 100 and 50% of irrigation requirement and nitrogen treatments in four levels including 0, 60, 120 and 180 kg N ha-1. Photos were taken during the growing season using Canon digital camera. Main bands of red, green, and blue (RGB) were extracted from photos using ILWIS software and different combinations of the main bands were prepared. Then, correlation of the obtained combinations with the absorbed N was determined. Results showed a high correlation (0.84) between GMR index (green band minus red band) and the absorbed N. Canopy cover was estimated using MATLAB software and its correlation with the GMR index was 0.78. Extinction coefficient was estimated to be 0.49 for the initial period of sugar beet growth. | ||
| Keywords | ||
| canopy; extinction coefficient; Digital photography; nitrogen status | ||
| References | ||
|
Demotes-Mainard S, Boumaza R, Meyer S, Cerovic ZG. Indicators of nitrogen status for ornamental woody plants based on optical measurements of leaf epidermal polyphenol and chlorophyll contents. Sci. Hort. 2008; 115: 377–385.
Hoffland E, Dicke M, van Tintelen W, Dijkman H, van Beusichem ML. Nitrogen availability and defense of tomato against two-spotted spider mite. J. Chem. Ecol. 2000; 26: 2697–2711.
Kjeldahl J. Neue Methode zur Bestimmung des Stickstoffs in organischen Körpern. Fresenius J. Anal. Chem. 1883; 22: 366–382
Lee KJ, Lee BW. Estimating canopy cover from color digital camera image of rice field. J. Crop Sci. Biotech. 2011; 14(2): 151 - 155.
Lee KJ, Lee BW. Estimation of rice growth and nitrogen nutrition status using color digital camera image analysis. Europ. J. Agronomy. 2013; 48: 57– 65.
Loague K, Green RE. Validation of Flow and Transport Models for the Unsaturated Zone Statistical and graphical methods for evaluating solute transport models: Overview and application. Journal of Contaminant Hydrology. 1991; 7(1): 51-73
Moradi Kodoyi M. Measurements of crop canopy cover by photography and estimation of its relationship with leaf area index and yield of winter wheat (MS thesis) Shiraz university; 2013.
Muñoz-Huerta RF, Guevara-Gonzalez RG, Contreras-Medina LM, Torres-Pacheco I, Prado-Olivarez J, Ocampo-Velazquez RV. A review of methods for sensing the nitrogen status in plants: advantages, disadvantages and recent advances. Sensors. 2013; 13: 10823-10843.
Ritchie JT. Model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 1972; 8(5): 1204-1213.
Saberioon MM, Amin MSM, Anuar AR, Gholizadeh A, Wayayokd A, Khairunniza-Bejo S. Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale. 2014; 32: 35-45.
Sadeghzade hemayati S, Kashani A, Fathollah Taleghani D, Normohammadi GH, Siadat AA. Effect of sowing date, planting density and cultivar on solar radiation interception indices in sugar beet I. Radiation interception and extinction coefficient. Journal of Sugar Beet. 2008; 24(1): 23-42. (in Persian, abstract in English)
Wang Y, Wang D, Zhang G, Wang J. Estimating nitrogen status of rice using the image segmentation of. Field Crops Research. 2013; 149: 33–39.
Zarco-Tejada PJ, Rueda CA, Ustin SL. Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sensing Of environmental. 2003; 85: 109-124. | ||
|
Statistics Article View: 1,060 PDF Download: 798 |
||
Journal management system. designed by sinaweb