Spectral indices sensitively discriminating wheat genotypes of different canopy architectures

Precision Agriculture

Volumn 11, Issue 5, 2010, Pages 557-567

  Zhao, Chunjiang ^a   Wang, Jihua ^a   Huang, Wenjiang ^a   Zhou, Qifa ^b  

^a NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Canopy architecture; Chlorophyll; Spectral indices; Wheat (Triticum aesitvum L.)

Indexed keywords

CANOPY ARCHITECTURE; CANOPY REFLECTANCE; CHLOROPHYLL; CULTIVAR; GENOTYPE; GROWING SEASON; LEAF AREA INDEX; SPECTRAL ANALYSIS; VEGETATION INDEX; WHEAT;

BEIJING [CHINA]; CHINA;

TRITICUM; TRITICUM AESTIVUM;

EID: 77956694786     PISSN: 13852256     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11119-009-9148-7     Document Type: Article

References (19)

1. Baret, F., & Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35, 161-173.
2. Daughtry, C. S. T., Walthall, C. L., Kim, M. S., Brown de Colstoun, E., & McMurtrey, J. E., III (2000). Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 74, 229-239.
3. Galvão, L. S., Formaggio, A. R., & Tisot, D. A. (2005). Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data. Remote Sensing of Environment, 94, 523-534.
4. Haboudane, D., Miller, J. R., Tremblay, N., Zarco-Tejada, P. J., & Dextraze, L. (2002). Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, 81, 416-426.
5. Hammer, G. L., Dong, Z. S., McLean, G., Doherty, A., Messina, C., Schusler, J., et al. (2009). Can changes in canopy and/or root system architecture explain historical maize yield trends in the US Corn Belt? Crop Science, 49, 299-312.
6. Huang, W. J., Niu, Z., Wang, J. H., Liu, L. Y., Zhao, C. J., & Liu, Q. (2006). Identifying crop leaf angle distribution based on two-temporal and bidirectional canopy reflectance. IEEE Transactions on Geoscience and Remote Sensing, 44, 3601-3609.
7. Lichtenthaler, H. K. (1987). Chlorophylls and caroteniods: Pigments of photosynthetic membranes. Methods of Enzymology, 148, 350-382.
8. Peñuelas, J., Baret, F., & Filella, I. (1995a). Semiempirical indexes to assess carotenoids and chlorophyll-a ratio from leaf spectral reflectance. Photosynthetica, 31, 221-230.
9. Peñuelas, J., Filella, I., & Gamon, J. A. (1995b). Assessment of photosynthetic radiation-use efficiency with spectral reflectance. New Phytologist, 13, 291-296.
10. Pinter, P. J., Jr., Jackson, R. D., Ezra, C. E., & Gausman, E. W. (1985). Sun-angle and canopy-architecture effects on the spectral reflectance of six wheat cultivars. International Journal of Remote Sensing, 6, 1813-1825.
11. Rondeaux, G., Steven, M., & Baret, F. (1996). Optimisation of soil-adjusted vegetation indices. Remote Sensing of Environment, 55, 95-107.
12. Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In Proceedings of third ERTS-1 symposium, Washington, DC, 10-14 December, NASA, SP-351 (Vol. 1, pp. 309-317). Washington, DC: Goddard Space Flight Center.
13. San-Oh, Y., Kond, M., Ookawa, T., & Hirasawa, T. (2008). Ecophysiological analysis on effect of planting pattern on biomass production and grain yield in rice. JARQ-Japan Agricultural Research Quarterly, 42, 79-89.
14. San-oh, Y., Mano, Y., Ookawa, T., & Hirasaw, T. (2004). Comparison of dry matter production and associated characteristics between direct-sown and transplanted rice plants in a submerged paddy field and relationships to planting patterns. Field Crops Research, 87, 43-58.
15. Sinclair, T. R., & Sheehy, J. E. (1999). Erect leaves and photosynthesis in rice. Science, 283, 1455.
16. Takahashi, T., & Nakaseko, K. (1993). Seasonal changes in distribution of intercepted photosynthetically radiation for layer and dry matter production in spring wheat canopy. Japanese Journal of Crop Science, 62, 313-318.
17. Wells, J. M., & Norman, J. M. (1991). Instrument for indirect measurement of canopy architecture. Agronomy Journal, 83, 818-825.
18. Zadoks, J. C., Chang, T. T., & Konzak, C. F. (1974). A decimal code for the growth stage of cereals. Weed Research, 14, 415-421.
19. Zheng, B. Y., Shi, L. J., Ma, Y. T., Deng, Q. Y., Li, B. G., & Guo, Y. (2008). Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitising. Functional Plant Biology, 35, 900-910.