Use of remote sensing technology in the assessment of resistance of maize to tar spot complex
| Autor: | F. Rodrigues, Bruno Gérard, Pierre Defourny, Alexander Loladze, F. M. San Vicente |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Resistance (ecology) Multispectral image Tar 04 agricultural and veterinary sciences General Medicine Plant disease resistance 01 natural sciences Fungicide Agronomy 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Grain yield Environmental science 010606 plant biology & botany Field conditions Remote sensing |
| Zdroj: | Advances in Animal Biosciences. 8:259-263 |
| ISSN: | 2040-4700 |
| DOI: | 10.1017/s2040470017001212 |
| Popis: | Assessment of Tar Spot Complex (TSC) severity in maize breeding experiments is conducted visually and may sometimes result in inconsistencies due to human interpretation. Disease scoring using remote sensing technologies may help bring more precision to the phenotyping process. An experiment for assessment of grain yield losses due to TSC was conducted at the Aguafria Experimental Station of the International Center for Wheat and Maize Improvement – CIMMYT in Mexico. Twenty-five maize genotypes were planted in spring of 2016 under a fungicide treatment to control TSC development and no fungicide treatment in a square lattice design with three replications. Four flights were carried out using an Unmanned Aerial Vehicle (UAV) equipped with a multispectral (550, 660, 735, 790 nm) and a thermal camera, simultaneously with the visual disease scorings and the yield was measured after harvesting. The preliminary results of the study indicated that the use of remote sensing in disease resistance phenotyping may be as effective as visual disease scoring since both correlate highly with the grain yield. Structural and chlorophyll vegetation indices (VIs) proved to be a good alternative for the estimation of yield losses caused by TSC in experimental field conditions, which may be potentially used for screening for resistance to this disease in maize genotypes, hypothetically reducing the need for visual disease scoring in the field. |
| Databáze: | OpenAIRE |
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