References
- ALVARO, F. –GARCÍA DEL MORAL, L.F. –ROYO, C. 2007. Usefulness of remote sensing for the assessment of growth traits in individual cereal plants grown in the field. In International Journal of Remote Sensing, vol. 28, pp. 2497–2512. DOI: 10.1080/0143 1160600935604.
- BARTON, C.V.M. 2001. A theoretical analysis of the influence of heterogeneity in chlorophyll distribution on leaf reflectance. In Tree Physiology, vol. 21, pp. 789–795. DOI: 10.1093/treephys/21.12-13.789.
- BERTHELOOT, J. – MARTRE, P. – ANDRIEU, B. 2008. Dynamics of light and nitrogen distribution during grain filling within wheat canopy. In Plant Physiology, vol. 148, pp. 1707–1720. DOI: 10.1104/pp.108.124156.
- BOONMAN, A. –PRINSEN, E. –GILMER, F. –SCHURR, U. –PEETERS, A.J.M. –VOESENEK, L.A.C.J. – PONS, T.L. 2007. Cytokinin import rate as a signal for photosynthetic acclimation to canopy light gradients. In Plant Physiology, vol. 143, pp. 1841–1852. DOI: 10.1104/pp.106.094631.
- CIGANDA, V. –GITELSON, A. –SCHEPERS, J. 2008. Vertical profile and temporal variation of chlorophyll in maize canopy: Quantitative “crop vigor” indicator by means of reflectance-based techniques. In Agronomy Journal, vol. 100, pp. 1409–1417. DOI: 10.2134/ agronj2007.0322.
- CIGANDA, V. –GITELSON, A. –SCHEPERS, J. 2009. Non-destructive determination of maize leaf and canopy chlorophyll content. In Journal of Plant Physiology, vol. 166, pp. 157–167. DOI: 10.1016/j.jplph.2008.03.004.
- DRECCER, M.F. –VAN OIJEN, M. – SCHAPENDONK, A.H.C.M. – POT, C.S. – RABBINGE, R. 2000. Dynamics of vertical leaf nitrogen distribution in a vegetative wheat canopy. Impact on canopy photosynthesis. In Annals of Botany, vol. 86, pp. 821–831. DOI: 10.1006/ anbo.2000.1244.
- GASTAL, F. –LEMAIRE, G. 2002. N uptake and distribution in crops: an agronomical and ecophys-iological perspective. In Journal of Experimental Botany, vol. 53, pp. 789–799. DOI: 10.1093/jexbot/53.370.789.
- GITELSON, A. – MERZLYAK, M.N. –LICHTENTHALER, H.K. 1996. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. In Journal of Plant Physiology, vol. 148, pp. 501–508. DOI: 10.1016/S0176-1617(96)80285-9.
- GOBRON, N. –PINTY, B. –VERSTRAETE, M.M. – GOVAERTS, Y. 1997.A semidiscrete model for the scattering of light by vegetation. In Journal of Geophysical Research: Atmospheres, vol. 102, pp. 9431– 9446. DOI: 10.1029/96JD04013.
- HANSEN, P.M. – JØRGENSEN, J.R. – THOMSEN, A. 2002. Predictinggrainyieldandproteincontentin winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression. In The Journal of Agricultural Science, vol. 139, pp. 307–318. DOI: 10.1017/S0021859602002320.
- HATFIELD, J.L. – GITELSON, A.A. –SCHEPERS, J.S. –WALTHALL, C.L. 2008. Application of spectral remote sensing for agronomic decisions. In Agronomy Journal, vol. 100, pp. S-117–131. DOI: 10.2134/ag-ronj2006.0370c.
- HIKOSAKA, K. 2005. Leaf canopy as a dynamic system: ecophysiology and optimality in leaf turnover. In Annals of Botany, vol. 95, pp. 521–533. DOI: 10.1093/aob/mci050.
- HÖRTENSTEINER, S. 2006. Chlorophyll degradation during senescence. In Annual Review of Plant Biology, vol. 57, pp. 55–77. DOI: 10.1146/annurev.ar-plant.57.032905.105212.
- KULL, O. 2002. Acclimation of photosynthesis in canopies: models and limitations. In Oecologia, vol. 133, pp. 267–279. DOI: 10.1007/s00442-002-1042-1.
- LICHTENTHALER, H.K. 1987. Chlorophylls and carot-enoids: Pigments of photosynthetic biomembranes. In Methods in Enzymology, vol. 148, pp. 350–382. DOI: 10.1016/0076-6879(87)48036-1.
- LIZASO, J.I. – BATCHELOR, W.D. –WESTGATE, M.E. 2003. Aleafareamodeltosimulatecultivar-specific expansion and senescence of maize leaves. In Field Crops Research, vol. 80, pp 1–17. DOI: 10.1016/S0378-4290(02)00151-X.
- LÖTSCHER, M. –STROH, K. –SCHNYDER, H. 2003. Vertical leaf nitrogen distribution in relation to nitrogen status in grassland plants. In Annals of Botany, vol. 92, pp. 679–688. DOI: 10.1093/aob/mcg188.
- MERZLYAK, M.N. –GITELSON, A. 1995. Why and what for the leaves are yellow in autumn? On the interpretation of optical spectra of senescing leaves (AcerplatanoidesL.). In Journal of Plant Physiology, vol. 145, pp. 315-320. DOI: 10.1016/S0176-1617(11)81896-1.
- NOVOTNÁ, K. – RAJSNEROVÁ, P. –MÍŠA, P. – MÍŠA, M. –KLEM, K. 2013. Normalized red-edge index -new reflectance index for diagnostics of nitrogen status in barley. In MendelNet 2013 Mendel University in Brno, pp. 120–124. http://mnet.mendelu.cz/mendelnet2013/articles/41_novotna_909.pdf.
- ROUSE, J.W. – HAAS, Jr., R.H. –SCHELL, J.A. – Deering, D.W. 1974. Monitoring vegetation systems in the Great Plains with ERTS, NASA SP-351. In Third ERTS-1 Symposium, NASA, Washington DC, vol. 1, pp. 309-317.
- WANG, Z.J. – WANG, J.H. – LIU, L.Y. – HUANG, W.J. – ZHAO, C.J. – WANG, C.Z. 2004. Prediction of grain protein content in winter wheat (Triticumaestivum L.) using plant pigment ratio (PPR). In Field Crops Research, vol. 90, pp. 311-321. DOI: 10.1016/j.fcr.2004.04.004.
- WANG, Z. – WANG, J. – ZHAO, C. – ZHAO, M. – HUANG, W. – WANG, C. 2005. Vertical distribution of nitrogen in different layers of leaf and stem and their relationship with grain quality of winter wheat. In Journal of Plant Nutrition, vol. 28, pp. 73-91. DOI: 10.1081/PLN-200042175.
- WANG, Q. – LI, P. 2013. Canopy vertical heterogeneity plays a critical role in reflectance simulation. In Agricultural and Forest Meteorology, vol. 169, pp. 111-121. DOI: 10.1016/j.agrformet.2012.10.004.
- XU, Z.Z. – ZHOU, G.S. 2005. Effects of water stress on photosynthesis and nitrogen metabolism in vegetative and reproductive shoots of Leymuschinensis. In Photosynthetica, vol. 43, pp. 29-35. DOI: 10.1007/s1 1099-005-0035-9.
- ZARCO-TEJADA, P.J. – MILLER, J.R. – NOLAND, T.L. – MOHAMMED, G.H. – SAMPSON, P.H. 2001. Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. In IEEE Transactions on Geo-science and Remote Sensing, vol. 39, pp. 1491-1507. DOI: 10.1109/36.934080.
- ZHAO, C. – LIU, L. – WANG, J. – HUANG, W. – SONG, X. – LI, C. 2005. Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress. In International Journal of Applied Earth Observation and Geoinformation, vol. 7, pp. 1-9. DOI: 10.1016/j.jag.2004.10.002.