عنوان مقاله [English]
The aim of this study is obtaining continuous weekly values of maize RUE by novel in-situ measurements of radiation. A semi-maturing cultivar of maize was cultivated in University of Tehran research farm in Karaj. Dry biomass and leaf area index were measured during 15 consecutive weeks of growing season. Then, based on in-situ complete pyrheliometry, by using insulation simulation and image processing, daily average of maize canopy reflectivity, extinction coefficient and the absorbed visible light of the canopy were estimated using a multi-layer model. During growing season infield continuous measurement of full spectrum irradiation, was measured continuously by TSR for all daylight hours. The diurnal insolation was simulated for that plant by an angular scanner (illuminator) during night time between 21:00 to 21:30 hrs. By applying an image processing technique, the visible band reflectivity of maize cover was estimated for the first seven weeks of study period. The measurements were continued till full closure of canopy and 12 different weekly values of RUE were calculated using the field measured data. The proposed approach allows generating continuous graph of RUE values. The research results indicate that even in the potential production conditions, using a constant value of radiation use efficiency for entire growing season of maize is not possible. During the growing season, the range of maize radiation-use efficiency reached 36.1 g/MJ, but the weekly values median of this quantity was equal to 3.5 g/MJ, which its occurrence probability in half of the growing season is 100%.
Akmal, M., Ibrahim, M., Asim, M., Afzal, M., Achakzai, A. K. K. 2014. Leaf area profile and light use efficiency study in maize as influenced by changes in the planting geometry and N-Rates. Pure and Applied Biology, 3(4):132-143.
Andrade, F. H., Uhart, S. A., Cirilo, A. 1993. Temperature affects radiation use efficiency in maize. Field Crops Research, 32:17-25.
Boote, K. J., Loomis, R.S. 1991. Modeling Crop Photosynthesis: From Biochemistry to Canopy. CSSA Special publication 19. American Society of Agronomy and Crop Science Society of America. 169p.
Campbell, G. S., Norman, J. M. 1998. An Introduction to Environmental Biophysics. Springer. 286p.
Greaves, G. E., Wang, Y. 2017. The effect of water stress on radiation interception, radiation use efficiency and water use efficiency of maize in a tropical climate. Turkish Journal of Field Crops, 22(1):114-125.
Hanks, J., Ritchie, J. T. 2001. Modeling Plant and Soil Systems. American Society of Agronomy, Inc. Crop Science Society of America, Inc. Soil Science Society of America, Inc. 545p.
Hikosaka, K., Niinemets, U., Anten, N. P. R. 2016. Canopy Photosynthesis: From Basics to Applications. Springer Science + Business Media Dordrecht, 428p.
Hossain, M. M., Rumi, M. S., Nahar, B. S., Batan, M. A. 2014. Radiation use efficiency in different row orientation of maize (Zea mays L.). Journal of Environtal Science and Natural Resources, 7(1): 41-46.
Jones, H. G. 2014. Plants and Microclimate. A Quantitative Approach to Environmental Plant Physiology. Cambridge University Press. 407p.
Kiniry, J. R., Landivar, J. A., Witt, M., Gerik, T. J., Cavero, J., Wade, L. J. 1998. Radiation-use efficiency response to vapor pressure deficit for maize and sorghum. Field Crops Research, 56: 265-270.
Lindquist, J. L., Arkebauer, T. J., Walters, D. T., Cassman, K. G., Dobermann, A. 2005. Maize radiation use efficiency under optimal growth conditions. Agronomy Journal, 97:72-78.
Liu, T., Song F., Liu, S., Zue, X. 2012. Light interception and radiation use efficiency response to narrow - wide row planting patterns in maize. Australian Journal of Crop Science, 6(3): 506-513.
Liu, X., Rahman, T., Yang, F., Song, C., Yong, T., Liu, J., Zhang, C., Yang, W. 2017. PAR Interception and utilization in different maize and soybean intercropping patterns. PLOS ONE. DOI:10.1371/journal.pone, 0169218:1-17.
Monteith, J. 1969. Light interception and radiative exchange in crop stands. Agronomy and Horticulture-Faculty Publications, 185:89-115.
Monteith, J. L. 1994. Validity of the correlation between intercepted radiation and biomass. Agricultural and Forest Meteorology, 68:213-220.
Monteith, J. L., Unsworth, M. H. 2013. Principles of Environmental Physics. Elsevier Ltd., 401p.
Pitman, J. I. 2000. Absorption of photosynthetically active radiation, radiation use efficiency and spectral reflectance of bracken [Pteridium aquilinum (L.) Kuhnl] canopies. Annals of Botany, 85 (Supplement B):101-111.
Ross, J. 1981. The Radiation Regime and Architecture of Plant Stands. Dr W. Junk Publishers. 391pages.
Russell, G., Marshall, B., Jarvis, P. G. 1990. Plant Canopies: Their Growth, Form and Function. Cambridge University Press, 178p.
Sinclair, T. R., Muchow, R. C. 1999. Radiation-use efficiency. Adv. Agronomy, 65:215-265.
Soltani, A., Sinclair, T. R. 2012. Modeling Physiology of Crop Development, Growth and Yield. CAB International. 322p.
Verhoef, W. 1984. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model. Remote Sensing of Environment, 16:125-141.
Webb, N., Nichol, C., Wood, J., Potter, E. (2008). User Manual for the SunScan Canopy Analysis System Type SS1. Delta-T Devices Ltd.. 83p.
Westgate, M. E., Forcella, F., Reicosky, D. C., Somsen, J. 1997. Rapid canopy closure for maize production in the northern US corn belt: Radiation-use efficiency and grain yield. Field Crops Research, 49: 249-258.
Yin, X., Gon van Larr, H. H. 2005. Crop Systems Dynamics. An Ecophysiological Simulation Model for Genotype – by – Environment Interactions. Wageningen Academic Publishers. 155p.
Zhu, X. G., Song, Q., Ort, D. R. 2012. Elements of a dynamic systems model of canopy photosynthesis. Current Opinion in Plant Biology, 15: 237-244.