Spectral water indices for assessing yield in elite bread wheat genotypes under well-irrigated, water-stressed, and high-temperature conditions
By M. Gutierrez, Matthew P Reynolds, W. Raun, Marvin L. Stone, A. Klatt. 2010
144 citations recorded by the source corpus.
Subfields: Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/acb7bfd46e4e941aee1fbde80a3a1936a74e28d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Matthew P Reynolds
- Urs Schmidhalter
- Jill E. Cairns
- Zhenhai Li
- Tao Yang
- Pablo J. Zarco-Tejada
- Bo Ming
- Yanbo Huang
In Plant Science
- Matthew P Reynolds
- Jill E. Cairns
- Jose Luis Araus
- Urs Schmidhalter
- C. Sánchez
- Y. Moënne‐Loccoz
- Pablo J. Zarco-Tejada
- Pablo Rischbeck
Citations in the corpus
- Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives (2017, methodology): “…equipped with multispectral and hyperspectral sensors and can then be processed to build a vegetation index to monitor key crop traits, such as canopy cover, LAI, chlorophyll content, plant nutrients, water status, biomass and yield (Horler et al., 1983; Raun et al., 2001; Gutierrez et al., 2010).”
- High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, background): “The limitation of the crop growth status (such as the biomass) owing to water stress could be estimated using near-infrared and visible optical sensors [319].”
- Breeding for increased nitrogen‐use efficiency: a review for wheat (T. aestivum L.) (2016, background): “…crop biomass (Babar et al. 2006), green canopy area (Aparicio et al. 2002), leaf chlorophyll (Babar et al. 2006), ‘stay-green’ (Lopes and Reynolds 2012), grain yield (Gutierrez-Rodriguez et al. 2004, Gutierrez et al. 2010a,b) and grain protein content (Apan et al. 2006, Freeman et al. 2007).”
- Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016, result): “This result was previously demonstrated by other authors (Marti et al., 2007; Gutierrez et al., 2010; Lobos et al., 2014).”
- Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes (2012, background): “To date, these peaks have been measured individually, through the formulation of different spectral indices, to assess drought response in wheat (Royo et al., 2003; Babar et al., 2006a; Gutiérrez et al., 2010).”