Potential Use of Spectral Reflectance Indices as a Selection Tool for Grain Yield in Winter Wheat under Great Plains Conditions

By B. Prasad, B. Carver, Marvin L. Stone, Muhammad Ali Babar, W. Raun, A. Klatt. 2007

141 citations recorded by the source corpus.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/3139d4977ac758967e7049d5a2ef89fc5fbb9bbd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Marvin L. Stone
2. W. Raun
3. A. Klatt
4. Muhammad Ali Babar
5. B. Prasad
6. Yanbo Huang
7. Haikuan Feng
8. Guijun Yang

In Plant Science

1. W. Raun
2. Marvin L. Stone
3. A. Klatt
4. Muhammad Ali Babar
5. B. Prasad
6. Haikuan Feng
7. Guijun Yang
8. B. Carver

Citations in the corpus

• Genetic analysis of indirect selection for winter wheat grain yield using spectral reflectance indices (2007, methodology): “Similar observations were reported in irrigated spring wheat (Babar et al., 2006a), in durum wheat (Aparicio et al., 2000; Royo et al., 2003), and in winter wheat ( Prasad et al., 2007 ).”
• Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives (2017, methodology): “GNDVI and NDWI were used to estimate the leaf chlorophyll content and water status, respectively, (Prasad et al., 2007; Lelong et al., 2008; Gonzalez-Dugo et al., 2014).”