Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping

Article

Thoday-Kennedy, Emily, Banerjee, Bikram, Panozzo, Joe, Maharjan, Pankaj, Hudson, David, Spangenberg, German, Hayden, Matthew and Kant, Surya. 2023. "Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping." Agriculture. 13 (3). https://doi.org/10.3390/agriculture13030620
Article Title

Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping

ERA Journal ID210069
Article CategoryArticle
AuthorsThoday-Kennedy, Emily, Banerjee, Bikram, Panozzo, Joe, Maharjan, Pankaj, Hudson, David, Spangenberg, German, Hayden, Matthew and Kant, Surya
Journal TitleAgriculture
Journal Citation13 (3)
Article Number620
Number of Pages18
Year2023
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2077-0472
Digital Object Identifier (DOI)https://doi.org/10.3390/agriculture13030620
Web Address (URL)https://www.mdpi.com/2077-0472/13/3/620
Abstract

Safflower (Carthamus tinctorius L.) is a highly adaptable but underutilized oilseed crop capable of growing in marginal environments, with crucial agronomical, commercial, and industrial uses. Considerable research is still needed to develop commercially relevant varieties, requiring effective, high-throughput digital phenotyping to identify key selection traits. In this study, field trials comprising a globally diverse collection of 350 safflower genotypes were conducted during 2017–2019. Crop traits assessed included phenology, grain yield, and oil quality, as well as unmanned aerial vehicle (UAV) multispectral data for estimating vegetation indices. Phenotypic traits and crop performance were highly dependent on environmental conditions, especially rainfall. High-performing genotypes had intermediate growth and phenology, with spineless genotypes performing similarly to spiked genotypes. Phenology parameters were significantly correlated to height, with significantly weak interaction with yield traits. The genotypes produced total oil content values ranging from 20.6–41.07%, oleic acid values ranging 7.57–74.5%, and linoleic acid values ranging from 17.0–83.1%. Multispectral data were used to model crop height, NDVI and EVI changes, and crop yield. NDVI data identified the start of flowering and dissected genotypes according to flowering class, growth pattern, and yield estimation. Overall, UAV-multispectral derived data are applicable to phenotyping key agronomical traits in large collections suitable for safflower breeding programs.

KeywordsEVI; flowering; high-throughput phenotyping; NDVI; oil profile; safflower
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020310806. Plant physiology
401304. Photogrammetry and remote sensing
309999. Other agricultural, veterinary and food sciences not elsewhere classified
Byline AffiliationsAgriculture Victoria
La Trobe University
University of Melbourne
GO Resources, Australia
Permalink -

https://research.usq.edu.au/item/z307q/dissecting-physiological-and-agronomic-diversity-in-safflower-populations-using-proximal-phenotyping

Log in to edit

Download files

Published Version
agriculture-13-00620-v3.pdf
License: CC BY 4.0
File access level: Anyone

  • 21
    total views
  • 17
    total downloads
  • 5
    views this month
  • 1
    downloads this month

Export as

Related outputs

Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach
Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2024. "Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach." Engineering Geology. 329. https://doi.org/10.1016/j.enggeo.2024.107406
Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach
Bandopadhyay, Subhajit, Barnali, Das, Sánchez, Alexander Cotrina, Banerjee, Sankar Prasad, Banerjee, Bikram P. and Ghosh, Subhasis. 2023. "Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach." 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS). Hyderabad, India 27 - 29 Jan 2023 Hyderabad, India. https://doi.org/10.1109/MIGARS57353.2023.10064558
An Open-Source Package for Thermal and Multispectral Image Analysis for Plants in Glasshouse
Sharma, Neelesh, Banerjee, Bikram Pratap, Hayden, Matthew and Kant, Surya. 2023. "An Open-Source Package for Thermal and Multispectral Image Analysis for Plants in Glasshouse." Plants. 12 (2). https://doi.org/10.3390/plants12020317
Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images
Thiruchittampalam, S., Banerjee, B. P., Singh, S. K., Glenn, N. F. and Raval, S.. 2023. "Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images." IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IGARSS52108.2023.10283351
Spoil characterisation using UAV‑based optical remote sensing in coal mine dumps
Thiruchittampalam, Sureka, Singh, Sarvesh Kumar, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2023. "Spoil characterisation using UAV‑based optical remote sensing in coal mine dumps." International Journal of Coal Science and Technology. 10 (1). https://doi.org/10.1007/s40789-023-00622-4
Lower grain nitrogen content of wheat at elevated CO2 can be improved through post-anthesis NH4+ supplement
Fernando, Nimesha, Hirotsu, Naoki, Panozzo, Joe, Tausz, Michael, Norton, Robert M. and Seneweera, Saman. 2017. "Lower grain nitrogen content of wheat at elevated CO2 can be improved through post-anthesis NH4+ supplement." Journal of Cereal Science. 74, pp. 79-85. https://doi.org/10.1016/j.jcs.2017.01.009
Wheat (Triticum aestivum L.) grain proteome response to elevated [CO2] varies between genotypes
Arachchige, Pramesha Madurangi S., Ang, Ching-Seng, Nicolas, Marc E., Panozzo, Joe, Fitzgerald, Glenn, Hirotsu, Naoki and Seneweera, Saman. 2017. "Wheat (Triticum aestivum L.) grain proteome response to elevated [CO2] varies between genotypes." Journal of Cereal Science. 75, pp. 151-157. https://doi.org/10.1016/j.jcs.2017.03.010
Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR
Banerjee, Bikram Pratap and Raval, Simit. 2022. "Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR." International Journal of Coal Science and Technology. 9 (1), pp. 1-16. https://doi.org/10.1007/s40789-022-00509-w
Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high-throughput plant phenotyping
Koh, Joshua C. O., Banerjee, Bikram P., Spangenberg, German and Kant, Surya. 2022. "Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high-throughput plant phenotyping." New Phytologist. 233 (6), pp. 2659-2670. https://doi.org/10.1111/nph.17947
Roots’ Drought Adaptive Traits in Crop Improvement
Shoaib, Mirza, Banerjee, Bikram P., Hayden, Matthew and Kant, Surya. 2022. "Roots’ Drought Adaptive Traits in Crop Improvement." Plants. 11 (17). https://doi.org/10.3390/plants11172256
Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data
Singh, Sarvesh Kumar, Banerjee, Bikram Pratap, Lato, Matthew J., Sammut, Claude and Raval, Simit. 2022. "Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data." International Journal of Rock Mechanics and Mining Sciences. 152, pp. 1-17. https://doi.org/10.1016/j.ijrmms.2022.105072
Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing
Tefera, Abeya Temesgen, Banerjee, Bikram Pratap, Pandey, Babu Ram, James, Laura, Puri, Ramesh Raj, Cooray, Onella, Marsh, Jasmine, Richards, Mark, Kant, Surya, Fitzgerald, Glenn J. and Cooray, Onella. 2022. "Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing." Field Crops Research. 277. https://doi.org/10.1016/j.fcr.2021.108407
A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors
Banerjee, Bikram Pratap and Raval, Simit. 2021. "A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors." Remote Sensing. 13 (16). https://doi.org/10.3390/rs13163295
Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery
Banerjee, Bikram P., Sharma, Vikas, Spangenberg, German and Kant, Surya. 2021. "Machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery." Remote Sensing. 13 (15). https://doi.org/10.3390/rs13152918
CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements
Banerjee, Bikram Pratap, Spangenberg, German and Kant, Surya. 2021. "CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements." Biosensors. 12 (1), pp. 1-19. https://doi.org/10.3390/bios12010016
Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines
Singh, Sarvesh Kumar, Banerjee, Bikram Pratap and Raval, Simit. 2021. "Three-Dimensional Unique-Identifier-Based Automated Georeferencing and Coregistration of Point Clouds in Underground Mines." Remote Sensing. 13 (16). https://doi.org/10.3390/rs13163145
Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning
Singh, Sarvesh Kumar, Raval, Simit and Banerjee, Bikram Pratap. 2021. "Automated structural discontinuity mapping in a rock face occluded by vegetation using mobile laser scanning." Engineering Geology. 285. https://doi.org/10.1016/j.enggeo.2021.106040
High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response
Banerjee, Bikram P., Joshi, Sameer, Thoday-Kennedy, Emily, Pasam, Raj K., Tibbits, Josquin, Hayden, Matthew, Spangenberg, German and Kant, Surya. 2020. "High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response." Journal of Experimental Botany. 71 (15), pp. 4604-4615. https://doi.org/10.1093/jxb/eraa143
UAV-hyperspectral imaging of spectrally complex environments
Banerjee, Bikram Pratap, Raval, Simit and Cullen, P. J.. 2020. "UAV-hyperspectral imaging of spectrally complex environments." International Journal of Remote Sensing. 41 (11), pp. 4136-4159. https://doi.org/10.1080/01431161.2020.1714771
Fusion of Spectral and Structural Information from Aerial Images for Improved Biomass Estimation
Banerjee, Bikram Pratap, Spangenberg, German and Kant, Surya. 2020. "Fusion of Spectral and Structural Information from Aerial Images for Improved Biomass Estimation." Remote Sensing. 12 (19). https://doi.org/10.3390/rs12193164
Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network
Singh, Sarvesh Kumar, Raval, Simit and Banerjee, Bikram. 2020. "Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural network." International Journal of Remote Sensing. 42 (1), pp. 367-377. https://doi.org/10.1080/2150704x.2020.1809734
Evaluation of a UAV-LiDAR system for mapping geological structures in an open pit highwall
Raval, S, Banerjee, B P, Shen, X, Masoumi, H and Tannant, D. 2018. "Evaluation of a UAV-LiDAR system for mapping geological structures in an open pit highwall." The 4th Australasian Ground Control in Mining Conference (AusRock). Sydney, Australia 28 - 30 Nov 2018 https://www.ausimm.com/publications/conference-proceedings/the-fourth-australasian-ground-control-in-mining-conference-ausrock/evaluation-of-a-uav-lidar-system-for-mapping-geological-structures-in-an-open-pit-highwall/.
High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system
Banerjee, Bikram Pratap, Raval, Simit and Cullen, Patrick Joseph. 2017. "High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system." Journal of Spectral Imaging. 6 (1). https://doi.org/10.1255/jsi.2017.a6
Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data
Banerjee, Bikram Pratap, Raval, Simit, Zhai, Hao and Cullen, Patrick Joseph. 2017. "Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data." Environmental Monitoring and Assessment. 189 (12). https://doi.org/10.1007/s10661-017-6333-4
Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study
Panozzo, J. F., Walker, C. K., Partington, D. L., Neumann, N. C., Tausz, M., Seneweera, S. and Fitzgerald, G. J.. 2014. "Elevated carbon dioxide changes grain protein concentration and composition and compromises baking quality. A FACE study." Journal of Cereal Science. 60 (3), pp. 461-470. https://doi.org/10.1016/j.jcs.2014.08.011
Rising CO2 concentration altered wheat grain proteome and flour rheological characteristics
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert, Fitzgerald, Glenn, Khan, Alamgir and Seneweera, Saman. 2015. "Rising CO2 concentration altered wheat grain proteome and flour rheological characteristics." Food Chemistry. 170, pp. 448-454. https://doi.org/10.1016/j.foodchem.2014.07.044
Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data
Banerjee, B. P., Raval, S. and Timms, W.. 2016. "Evaluation of rainfall and wetland water area variability at Thirlmere Lakes using Landsat time-series data." International Journal of Environmental Science and Technology. 13, p. 1781–1792. https://doi.org/10.1007/s13762-016-1018-z
Improving yield potential in crops under elevated CO2: integrating the photosynthetic and nitrogen utilization efficiencies
Kant, Surya, Seneweera, Saman, Rodin, Joakim, Materne, Michael, Burch, David, Rothstein, Steven J. and Spangenberg, German. 2012. "Improving yield potential in crops under elevated CO2: integrating the photosynthetic and nitrogen utilization efficiencies ." Frontiers in Plant Science. 3, pp. 1-9. https://doi.org/10.3389/fpls.2012.00162
Rising atmospheric CO2 concentration affects mineral nutrient and protein concentration of wheat grain
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert, Fitzgerald, Glenn and Seneweera, Saman. 2012. "Rising atmospheric CO2 concentration affects mineral nutrient and protein concentration of wheat grain." Food Chemistry. 133 (4), pp. 1307-1311. https://doi.org/10.1016/j.foodchem.2012.01.105
Wheat grain quality under increasing atmospheric CO2 concentrations in a semi-arid cropping system
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Fitzgerald, Glenn J., Myers, Samuel, Walker, Cassandra, Stangoulis, James and Seneweera, Saman. 2012. "Wheat grain quality under increasing atmospheric CO2 concentrations in a semi-arid cropping system ." Journal of Cereal Science. 56 (3), pp. 684-690. https://doi.org/10.1016/j.jcs.2012.07.010
Intra-specific variation of wheat grain quality in response to elevated [CO2] at two sowing times under rain-fed and irrigation treatments
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Fitzgerald, Glenn J., Myers, Samuel, Nicolas, Marc E. and Seneweera, Saman. 2014. "Intra-specific variation of wheat grain quality in response to elevated [CO2] at two sowing times under rain-fed and irrigation treatments." Journal of Cereal Science. 59 (2), pp. 137-144. https://doi.org/10.1016/j.jcs.2013.12.002
Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions
Fernando, Nimesha, Panozzo, Joe, Tausz, Michael, Norton, Robert M., Neumann, Nathan, Fitzgerald, Glenn J. and Seneweera, Saman. 2014. "Elevated CO2 alters grain quality of two bread wheat cultivars grown under different environmental conditions." Agriculture, Ecosystems and Environment. 185, pp. 24-33. https://doi.org/10.1016/j.agee.2013.11.023
Chromosomal loci associated with endosperm hardness in a malting barley cross
Walker, Cassandra K., Panozzo, J. F., Ford, R., Eckermann, P., Moody, D., Lehmensiek, A. and Appels, R.. 2011. "Chromosomal loci associated with endosperm hardness in a malting barley cross." Theoretical and Applied Genetics: international journal of plant breeding research. 122 (1), pp. 151-162. https://doi.org/10.1007/s00122-010-1431-5