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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



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Fig. 1 (A) Spectral signatures of the wheat canopy (treatment 200 kg ha-1 N) at different phenological stages (Days After Sowing, DAS) and of bare soil. (B) Spectral signature for the five N treatments 158 DAS. Depicted values are the mean of three replicates and error bars are + 1 standard error of the mean (SEM)

 


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Fig. 2 Time course of the canopy variables (A) leaf area index (LAI) and (B) fractional intercepted photosynthetically active radiation (fIPAR) and the vegetation indices (C) normalized difference vegetation index (NDVI) and (D) simple ratio (SR). Bars represent ± the standard error of the mean (n = 3). For the sake of clarity only, 0, 100, and 200 kg ha-1 N treatments are depicted. DAS is days after sowing

 


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Fig. 3 Relationships of the vegetation indices normalized difference vegetation index (NDVI) and simple ratio (SR) with (A and B) leaf area index (LAI, m2 m-2) and (C and D) canopy chlorophyll concentration (LAI x Chl A, mg Chl A m-2 soil) for the five N treatments studied

 


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Fig. 4 Relationships of the vegetation indices normalized difference vegetation index (NDVI) and simple ratio (SR) with (A and B) the percentage fractional intercepted PAR (fIPAR) and (C and D) the percentage green fIPAR [fIPAR(green leaf biomass/total biomass)]

 


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Fig. 5 Relationship (A) between grain yield and the cumulative simple ratio ({Sigma}SR) and (B) between total biomass and {Sigma}SR. (C) relationship between grain yield and total biomass (n = 15)

 





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