Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments

By J. Casadesús, Y. Kaya, Jordi Bort, M. Nachit, Jose Luis Araus, S. Amor, G. Ferrazzano, F. Maalouf, M. Maccaferri, V. Martos and 2 more. 2007

193 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/03caec46fccef970f6f7106b8b9f1faaadb6cdac

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. Lei Li
6. Danfeng Huang
7. Qin Zhang
8. Matthew P Reynolds

In Global and Planetary Change

1. Jose Luis Araus
2. Conxita Royo

In Plant Science

1. Jose Luis Araus
2. G. Slafer
3. Conxita Royo
4. M. D. Serret
5. Lei Li
6. Danfeng Huang
7. Qin Zhang
8. Matthew P Reynolds

Citations in the corpus

• A Review of Imaging Techniques for Plant Phenotyping (2014, background): “In the field, visible images provide information on the canopy cover and canopy color [99–101].”
• Breeding for Yield Potential and Stress Adaptation in Cereals (2008, methodology): “Through adequate processing of the information in digital pictures, it is possible to evaluate total green biomass much more cost-effectively than with land-based portable spectroradiometers (Casadesús et al., 2007).”