Early prediction of soybean yield from canopy reflectance measurements

By Baoluo Ma, L. Dwyer, C. Costa, E. Cober, M. Morrison. 2001

284 citations recorded by the source corpus.

Subfields: Ecology, Plant Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/2890fd7e38335ee369d6c842b3d4ccc66d18d3d4

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Citations in the corpus

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives (2017, background): “A large number of vegetation indices can be built after the empirical treatment of spectral information and can be used to estimate many biophysical properties, such as the chlorophyll, protein content, biomass, malnutrition, crop vigor and water status (Ma et al., 2001; Prasad et al., 2007).”
Adjusting Midseason Nitrogen Rate Using a Sensor-Based Optimization Algorithm to Increase Use Efficiency in Corn (2008, background): “…crop spectral properties have been used to assess multiple crop parameters such as photosynthetic capacity, productivity and potential yield (Penuelas et al., 1994; Aparicio et al., 2000; Thenkabail et al., 2000; Ma et al., 2001; Raun et al., 2001; Baez-Gonzales et al., 2002; Teal et al., 2006a).”
Genetic analysis of indirect selection for winter wheat grain yield using spectral reflectance indices (2007, background): “The normalized diff erence vegetation index has been reported to predict grain yield in soybean (Glycine max L.) ( Ma et al., 2001 ), in winter wheat (Raun et al., 2001), and in durum wheat (Triticum turgidum L.) (Aparicio et al., 2000).”
Potential Use of Spectral Reflectance Indices as a Selection Tool for Grain Yield in Winter Wheat under Great Plains Conditions (2007, background): “Ma et al. (2001) with soybean and Royo et al. (2003) with durum wheat also reported that the SRI correlated better with yield at the reproductive growth stages rather than at early vegetative growth stages.”
Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions (2003, methodology): “2000, 2002) that largely determine it, spectral data have been used to predict yield ( Wiegand and Richardson 1990 , Clevers 1997, Aparicio et al.”
View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data (2009, background): “According to the field experiment by Ma et al. (2001), correlations between vegetation indices and soybean grain yield tend to show a progressive improvement from R2 to R5 stages.”
Association between canopy reflectance indices and yield and physiological traits in bread wheat under drought and well-irrigated conditions (2004, background): “80) measured at the reproductive stage in field experiments (Ma et al. 2001).”
Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress (2011, methodology): “Therefore the effect of plant water status or any other limiting factor on plant growth and aerial biomass accumulation may be monitored through NDVI measured with a field-portable spectra-radiometer (Ma et al., 2001; Cabrera-Bosquet et al., 2011).”
Canopy reflectance in cotton for growth assessment and lint yield prediction (2007, background): “In soybean, Ma et al. (2001) documented a correlation between seed yield and NDVI measured at the R2 to R5 reproductive stages.”
Assessment of the nitrogen management strategy using an optical sensor for irrigated wheat (2011, background): “…obtaining information such as photosynthetic efficiency, productivity potential, and potential yield (Peñuelas et al. 1994; Thenkabail et al. 2000; Ma et al. 2001; Raun et al. 2001; Báez-González et al. 2002) and have been found to be sensitive to leaf area index, green biomass (Peñuelas et al.…”
The Potential of Using Spectral Reflectance Indices to Estimate Yield in Wheat Grown Under Reduced Irrigation (2006, background): “…the potential use of SRIs in breeding to differentiate genotypes for yield under well-watered conditions in common wheat (Ball & Konzak, 1993; Babar et al., 2006a), under moisture stressed conditions in durum wheat (Aparicio et al., 2000; Royo et al., 2003), and in soybean (Ma et al., 2001).”