NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions

Cereal Research Communications

Volumn 39, Issue 1, 2011, Pages 147-159

  Cabrera Bosquet, L ^a   Molero, G ^a   Stellacci, A ^b   Bort, J ^a   Nogues S ^a   Araus, J ^a,c  

^a UNIVERSITY OF BARCELONA   (Spain)

^b UNIVERSITY OF BARI   (Italy)

^c INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

Author keywords

active sensors; biomass; green area; NDVI; nitrogen content; spectroradiometer; wheat

Indexed keywords

TRITICUM AESTIVUM; TRITICUM TURGIDUM; TRITICUM TURGIDUM SUBSP. DURUM;

EID: 79952578961     PISSN: 01333720     EISSN: None     Source Type: Journal    
DOI: 10.1556/CRC.39.2011.1.15     Document Type: Article

References (25)

1. 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. Int. J. Remote Sensing 28:2497-2512. (Pubitemid 46864403)
2. Aparicio, N., Villegas, D., Araus, J.L., Casadesús J., Royo, C. 2002. Relationship between growth traits and spectral vegetation indices in durum wheat. Crop Sci. 42:1547-1555. (Pubitemid 35022019)
3. Aparicio, N., Villegas, D., Casadesús, J., Araus, J.L., Royo, C. 2000. Spectral vegetation indices as a non-destructive tools for determining durum wheat yield. Agron. J. 92:83-91. (Pubitemid 30166032)
4. Aparicio, N., Villegas, D., Royo, C., Casadesús, J., Araus, J.L. 2004. Effect of sensor view angle on the assessment of agronomic traits by ground level hyper-spectral reflectance measurements in durum wheat under contrasting Mediterranean conditions. Int. J. Remote Sensing 25:1131-1152. (Pubitemid 38319432)
5. Araus, J.L. 1996. Integrative physiological criteria associated with yield potential. In: Reynolds, M.P., Rajaram, S., McNab, A. (eds), Increasing Yield Potential in Wheat: Breaking Barriers. CIMMYT, Mexico D.F., pp. 150-166.
6. Araus, J.L., Casadesús, J., Bort, J. 2001. Recent tools for the screening of physiological traits determining yield. In: Reynolds, M.P., Ortiz-Monasterio, J.I., McNab, A. (eds), Application of Physiol. in Wheat Breeding. CIMMYT, Mexico D.F., pp. 59-77.
7. Babar, M.A., Reynolds, M.P., van Ginkel, M., Klatt, A.R., Raun, W.R., Stone, M.L. 2006. Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat. Crop Sci. 46:1046-1057.
8. Bellairs, S.M., Turner, N.C., Hick, P.T., Smith, R.C.G. 1996. Plant and soil influences on estimating biomass of wheat in plant breeding plots using field spectral radiometers. Aust. J. Agricult. Res. 47:1017-1034.
9. Borel, C., Simonneau, T., This, D., Tardieu, F. 1997. Stomatal conductance and ABA concentration in the xylem sap of barley lines of contrasting genetic origins. Aust. J. Plant Physiol. 24:607-615.
10. Bort, J., Casadesús, J., Araus, J.L., Grando, S., Ceccarelli, S. 2002. Spectral vegetation indices as nondestructive indicators of barley yield in Mediterranean rain-fed conditions. In: Slafer, G.A., Molina-Cano, J.L., Savin, R., Araus, J.L., Romagosa, I. (eds), Barley Science Recent Advances from Molecular Biology to Agronomy of Yield and Quality. Food Products Press, The Haworth Press, Inc., New York, USA.
11. Cabrera-Bosquet, L., Molero, G., Bort, J., Nogués, S., Araus, J.L. 2007. The combined effect of constant water deficit and nitrogen supply on WUE, NUE and 13 in durum wheat potted plants. Ann. Appl. Biol. 151:277-289. (Pubitemid 350182350)
12. Cabrera-Bosquet, L., Molero, G., Nogués, S., Araus, J.L. 2009. Water and nitrogen conditions affect the relationships of D13C and D18O with gas exchange and growth in durum wheat. J. Exp. Bot. 60:1633-1644.
13. Casadesús, J., Tambussi, E., Royo, C., Araus, J.L. 2000. Growth assessment of individual plants by an adapted remote sensing technique. In: Royo, C., Nachit, M.M., Di Fonzo, N., Araus, J.L. (eds), Durum Wheat Improvement in the Mediterranean Region: New Challenges. CIHEAM-IAMZ, Zaragoza, pp. 129-132.
14. Chen, D., Brutsaert, W. 1998. Satellite-sensed distribution and spatial patterns of vegetation parameters over a tallgrass prairie. J. Atm. Sci. 55:1225-1238.
15. Filella, I., Serrano, L., Serra, J., Peñuelas, J. 1995. Evaluating wheat nitrogen status with canopy reflectance indices and discriminant analysis. Crop Sci. 35:1400-1405.
16. Gamon, J.A., Field, C.B., Goulden, M.L., Griffin, K.L., Hartley, A.E., Joel, G., Penuelas, J., Valentini, R. 1995. Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types. Ecol. Applic. 5:28-41.
17. Hoagland, D.R., Arnon, D.I. 1950. The water-culture method for growing plants without soil. California Agricultural Experiment Station Circular 347:1-32.
18. Jamieson, P.D., Porter, J.R. Wilson, D.R. 1991. A test of the computer simulation model ARC-WHEAT1 on wheat crops grown in New Zealand. Field Crops Res. 27:337-350.
19. Large, E.C. 1954. Growth stages in cereals. Plant Pathol. 3:128-129.
20. Li, F., Gnyp, M.L., Jia, L., Miao, Y., Yu, Z., Koppe, W., Bareth, G., Cen, X., Zhang, F. 2008. Estimating N status of winter wheat using a handheld spectrometer in the North China Plain. Field Crops Res. 106:77-85. (Pubitemid 50014584)
21. Martí J., Bort J., Slafer G.A., Araus J.L. 2007. Can wheat yield be assessed by early measurements of Normalized Difference Vegetation Index? Annals of Appl. Biol. 150:253-257. (Pubitemid 46639956)
22. Richards, R.A. 2002. Seedling vigour in wheat - sources of variation for genetic and agronomic improvement. Aust. J. Agric. Res. 53:41-50. (Pubitemid 34140286)
23. Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W. 1973. Monitoring vegetation systems in the great plains with ERTS. In: Third ERTS Symposium, NASA SP-351. NASA, Washington, D.C., USA, Vol. 1, pp. 309-317.
24. Tremblay, N., Wang, Z., Ma, B.L., Belec, C., Vigneault, P. 2009. A comparison of crop data measured by two comercial sensors for variable-rate nitrogen application. Precision Agric. 10:145-161.
25. Verhulst, N., Govaerts, B. 2010. The Normalized Difference Vegetation Index (NDVI) GreenSeeker? Handheld Sensor: Toward the Integrated Evaluation of Crop Management. Part A: Concepts and Case Studies. CIMMYT, Mexico D.F.