Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies

By J. Ferrio, Dolors Villegas, J. Zarco, Nieves Aparicio, Jose Luis Araus, Conxita Royo. 2005

81 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/4e7048ae15c29dc53992e44441cbfcfd5f9d7977

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. G. Slafer
2. Jose Luis Araus
3. Conxita Royo
4. M. D. Serret
5. Jill E. Cairns
6. Matthew P Reynolds
7. A. Klatt
8. Muhammad Ali Babar

In Plant Science

1. Jose Luis Araus
2. G. Slafer
3. Conxita Royo
4. M. D. Serret
5. Jill E. Cairns
6. C. Sánchez
7. A. Melchinger
8. Matthew P Reynolds

Citations in the corpus

• Breeding for Yield Potential and Stress Adaptation in Cereals (2008, methodology): “As an alternative to indices, models constructed using the complete VIS/NIR reflectance spectra have proven accurate in ranking durum wheat genotypes on the basis of grain production, although they did not provide a proper quantification of yield ( Ferrio et al , 2005 ).”
• Prediction of grain yield using reflectance spectra of canopy and leaves in maize plants grown under different water regimes (2012, methodology): “In durum wheat, prediction of grain yield was generally stronger and more robust based on PLSR models than with previously assayed spectral indices (Ferrio et al., 2005).”