Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions

By M. Gutiérrez-Rodríguez, Matthew P Reynolds, J. Escalante-Estrada, M. Rodríguez-González. 2004

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Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016, background): “Thus, yield modelling approaches can be based on single spectral indices (Gutierrez-Rodriguez et al., 2004).”
Spectral Reflectance to Estimate Genetic Variation for In-Season Biomass, Leaf Chlorophyll, and Canopy Temperature in Wheat (2006, background): “A significant positive correlation betweenWI and CTD was reported in spring wheat under irrigation by Gutierrez-Rodriguez et al. (2004), but the study was conducted with a small number of unrelated genotypes.”
Hyperspectral remote sensing of plant pigments. (2006, methodology): “Such approaches have also been used in defining predictive relationships that have been applied to hyperspectral imagery to generate maps of Chl (Haboudane et al., 2002; Zarco-Tejada et al., 2004b, 2005a).”
Physiological interventions in breeding for adaptation to abiotic stress (2007, background): “For example, saline soils cover over 900 Mha of land area, and at least a third of the area under irrigation is affected by salinity ( Ghassemi et al. 1995 ).”
Potential Use of Spectral Reflectance Indices as a Selection Tool for Grain Yield in Winter Wheat under Great Plains Conditions (2007, background): “3 and 4). Babar et al. (2006) and Gutierrez-Rodriguez et al. (2004) also reported linear relationships between the diff erent SRI and grain yield.”