Crop Science Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (53)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Serrano, L.
Right arrow Articles by Peñuelas, J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Serrano, L.
Right arrow Articles by Peñuelas, J.
Agricola
Right arrow Articles by Serrano, L.
Right arrow Articles by Peñuelas, J.
Crop Science 40:723-731 (2000)
© 2000 Crop Science Society of America

CROP ECOLOGY, MANAGEMENT & QUALITY

Remote Sensing of Biomass and Yield of Winter Wheat under Different Nitrogen Supplies

Lydia Serrano, Iolanda Filella and Josep Peñuelas

Centre de Recerca Ecològica i Aplicacions Forestals, Facultat de Ciències, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain

l.serrano{at}creaf.uab.es

Vegetation indices derived from reflectance data are related to canopy variables such as aboveground biomass, leaf area index (LAI), and the fraction of intercepted photosynthetically active radiation (fIPAR). However, under N stress the relationships between vegetation indices (VI) and these canopy variables might be confounded due to plant chlorosis. We studied the relationships between reflectance-based VI and canopy variables (aboveground biomass, LAI canopy chlorophyll A content [LAI x Chl A], and fIPAR) for a wheat (Triticum aestivum L.) crop growing under different N supplies. Nitrogen fertilization promoted significant increases in radiation interception (plant growth) and, to a lesser extent, in radiation use efficiency (RUE). The VI vs. LAI relationships varied significantly among treatments, rendering the VI-based equations unreliable to estimate LAI under contrasting N conditions. However, a single relationship emerged when LAI x Chl A was considered. Moreover, VI were robust indicators of fIPAR by green canopy components independently of N treatment and phenology. Aboveground biomass was poorly correlated with grain yield, whereas cumulative VI simple ratio (SR) was a good predictor of grain yield, probably because cumulative SR closely tracked the duration and intensity of the canopy photosynthetic capacity.

Abbreviations: ANCOVA, analysis of covariance • ANOVA, analysis of variance • Chl, chlorophyll • DAS, days after sowing • FAPAR, fractional absorbed PAR • fIPAR, fractional intercepted PAR • LAI, leaf area index • LAI x Chl A, canopy chlorophyll A content • NDVI, normalized difference vegetation index • NIR, near-infrared • PAR, photosynthetic active radiation • RUE, radiation use efficiency • SEM, standard error of the mean • SR, simple ratio • VI, vegetation indices • {Sigma}SR, cumulative simple ratio




This article has been cited by other articles:


Home page
Agron. J.Home page
J. L. Hatfield, A. A. Gitelson, J. S. Schepers, and C. L. Walthall
Application of Spectral Remote Sensing for Agronomic Decisions
Agron. J., May 7, 2008; 100(Supplement_3): S-117 - S-131.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
E. S. Flynn, C. T. Dougherty, and O. Wendroth
Assessment of Pasture Biomass with the Normalized Difference Vegetation Index from Active Ground-Based Sensors
Agron. J., January 11, 2008; 100(1): 114 - 121.
[Abstract] [Full Text] [PDF]


Home page
jashsHome page
M. T. Gomez-Casero, F. Lopez-Granados, J. M. Pena-Barragan, M. Jurado-Exposito, L. Garcia-Torres, and R. Fernandez-Escobar
Assessing Nitrogen and Potassium Deficiencies in Olive Orchards through Discriminant Analysis of Hyperspectral Data
J. Amer. Soc. Hort. Sci., September 1, 2007; 132(5): 611 - 618.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
B. Prasad, B. F. Carver, M. L. Stone, M. A. Babar, W. R. Raun, and A. R. Klatt
Genetic Analysis of Indirect Selection for Winter Wheat Grain Yield Using Spectral Reflectance Indices
Crop Sci., July 30, 2007; 47(4): 1416 - 1425.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
B. Prasad, B. F. Carver, M. L. Stone, M. A. Babar, W. R. Raun, and A. R. Klatt
Potential Use of Spectral Reflectance Indices as a Selection Tool for Grain Yield in Winter Wheat under Great Plains Conditions
Crop Sci., July 30, 2007; 47(4): 1426 - 1440.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
K.-W. Chang, Y. Shen, and J.-C. Lo
Predicting Rice Yield Using Canopy Reflectance Measured at Booting Stage
Agron. J., May 13, 2005; 97(3): 872 - 878.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
S. B. Phillips, D. A. Keahey, J. G. Warren, and G. L. Mullins
Estimating Winter Wheat Tiller Density Using Spectral Reflectance Sensors for Early-Spring, Variable-Rate Nitrogen Applications
Agron. J., May 1, 2004; 96(3): 591 - 600.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
M. Flowers, R. Weisz, and R. Heiniger
Quantitative Approaches for Using Color Infrared Photography for Assessing In-Season Nitrogen Status in Winter Wheat
Agron. J., September 1, 2003; 95(5): 1189 - 1200.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
A. D. Baez-Gonzalez, P.-y. Chen, M. Tiscareno-Lopez, and R. Srinivasan
Using Satellite and Field Data with Crop Growth Modeling to Monitor and Estimate Corn Yield in Mexico
Crop Sci., November 1, 2002; 42(6): 1943 - 1949.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
N. Aparicio, D. Villegas, J. L. Araus, J. Casadesus, and C. Royo
Relationship between Growth Traits and Spectral Vegetation Indices in Durum Wheat
Crop Sci., September 1, 2002; 42(5): 1547 - 1555.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
M. Flowers, R. Weisz, and R. Heiniger
Remote Sensing of Winter Wheat Tiller Density for Early Nitrogen Application Decisions
Agron. J., July 1, 2001; 93(4): 783 - 789.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2000 by the Crop Science Society of America.