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Título: | Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize |
Autor: | Zaman-Allah, Mainassara; Zarco-Tejada, Pablo J. CSIC ORCID; Hornero, Alberto CSIC ORCID; Cairns, Jill E. | Palabras clave: | Maize Phenotyping platform Remote sensing UAP Nitrogen fertilization |
Fecha de publicación: | 24-jun-2015 | Editor: | BioMed Central | Citación: | Plant Methods 11(1): 35 (2015) | Resumen: | [Background]
Recent developments in unmanned aerial platforms (UAP) have provided research opportunities in assessing land allocation and crop physiological traits, including response to abiotic and biotic stresses. UAP-based remote sensing can be used to rapidly and cost-effectively phenotype large numbers of plots and field trials in a dynamic way using time series. This is anticipated to have tremendous implications for progress in crop genetic improvement. [Results] We present the use of a UAP equipped with sensors for multispectral imaging in spatial field variability assessment and phenotyping for low-nitrogen (low-N) stress tolerance in maize. Multispectral aerial images were used to (1) characterize experimental fields for spatial soil-nitrogen variability and (2) derive indices for crop performance under low-N stress. Overall, results showed that the aerial platform enables to effectively characterize spatial field variation and assess crop performance under low-N stress. The Normalized Difference Vegetation Index (NDVI) data derived from spectral imaging presented a strong correlation with ground-measured NDVI, crop senescence index and grain yield. [Conclusion] This work suggests that the aerial sensing platform designed for phenotyping studies has the potential to effectively assist in crop genetic improvement against abiotic stresses like low-N provided that sensors have enough resolution for plot level data collection. Limitations and future potential uses are also discussed. |
Versión del editor: | http://dx.doi.org/10.1186/s13007-015-0078-2 | URI: | http://hdl.handle.net/10261/125557 | DOI: | 10.1186/s13007-015-0078-2 | ISSN: | 1746-4811 |
Aparece en las colecciones: | (IAS) Artículos |
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13007_2015_Article_78.pdf | 2,01 MB | Adobe PDF | Visualizar/Abrir |
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