
Changes in Vertical Distribution of Spectral Reflectance within Spring Barley Canopy as an Indicator of Nitrogen Nutrition, Canopy Structure and Yield Parameters
By: Karel Klem, Petra Rajsnerová, Kateřina Novotná, Petr Mìša and Jan Křen
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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., 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, vol., pp. 521–533. DOI: 10.1093/aob/mci050.
- HÖRTENSTEINER, S. 2006. Chlorophyll degradation during senescence. In, vol., pp. 55–77. DOI: 10.1146/annurev.ar-plant.57.032905.105212.
- KULL, O. 2002. Acclimation of photosynthesis in canopies: models and limitations. In, vol., pp. 267–279. DOI: 10.1007/s00442-002-1042-1.
- LICHTENTHALER, H.K. 1987. Chlorophylls and carot-enoids: Pigments of photosynthetic biomembranes. In, vol., 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, vol., 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, vol., 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, vol., 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, 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, NASA, Washington DC, vol., 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, vol., 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, vol., pp. 73-91. DOI: 10.1081/PLN-200042175.
- WANG, Q. – LI, P. 2013. Canopy vertical heterogeneity plays a critical role in reflectance simulation. In, vol., 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 ofIn, vol., 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, vol., 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, vol., pp. 1-9. DOI: 10.1016/j.jag.2004.10.002.
Language: English
Page range: 50 - 59
Submitted on: Jan 9, 2014
Published on: Jul 29, 2014
Published by: National Agricultural and Food Centre
In partnership with: Paradigm Publishing Services
Keywords:
Related subjects:
© 2014 Karel Klem, Petra Rajsnerová, Kateřina Novotná, Petr Mìša, Jan Křen, published by National Agricultural and Food Centre
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.