Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize
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.
Main Authors: | Zaman-Allah, M., Vergara Diaz, O., Araus, J.L., Amsal Tesfaye Tarekegne, Magorokosho, C., Zarco-Tejada, P.J., Hornero, A., Hernández-Alba, A., Das, B., Craufurd, P., Olsen, M., Prasanna, B.M., Cairns, J.E. |
---|---|
Format: | Article biblioteca |
Language: | English |
Published: |
BioMed Central
2015
|
Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, Phenotyping Platforms, UAP, MAIZE, PHENOTYPES, REMOTE SENSING, UNMANNED AERIAL VEHICLES, NITROGEN FERTILIZERS, |
Online Access: | http://hdl.handle.net/10883/16941 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize
by: Zaman-Allah, Mainassara, et al.
Published: (2015-06-24) -
Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries
by: Haghighattalab, A., et al.
Published: (2016) -
UAV-based high-throughput phenotyping for wheat breeding and physiological pre-breeding
by: Pinto Espinosa, F.
Published: (2019) -
Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populations
by: Loladze, A., et al.
Published: (2024) -
High-throughput phenotyping of canopy cover and senescence in maize field trials using aerial digital canopy imaging
by: Makanza, R., et al.
Published: (2018)