Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing

Article

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
Article Title

Estimating early season growth and biomass of field pea for selection of divergent ideotypes using proximal sensing

ERA Journal ID5309
Article CategoryArticle
AuthorsTefera, 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
Journal TitleField Crops Research
Journal Citation277
Article Number108407
Number of Pages11
Year2022
PublisherElsevier
Place of PublicationNetherlands
ISSN0378-4290
1872-6852
Digital Object Identifier (DOI)https://doi.org/10.1016/j.fcr.2021.108407
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0378429021003531
Abstract

The aims of this study were to (i) test ground and aerial-based remote sensing vegetation indices (VIs) for trait-based breeding line selection, (ii) improve our understanding of the association between measured plant traits and readings derived from active and passive sensors and (iii) establish an optimal time for growth assessments in relation to field pea vigour and seed yield. Multispectral sensors were deployed with the handheld Crop Circle (CC) and a sensor mounted on an unmanned aerial vehicle (UAV) to collect data from field trials conducted between 2017 and 2020 at Beulah and Horsham in Victoria and Yenda, Wagga Wagga and Ardlethan in New South Wales in Australia. The result showed that normalised difference vegetation index (NDVI) derived from an aerial-based passive sensor (UAV) was strongly and significantly correlated to NDVI derived from a ground-based active sensor (CC) at both Beulah (R2 = 0.85; n = 1165; p < 0.001) and Horsham (R2 = 0.77; n = 210; p < 0.001). Both methods showed similar NDVI trends in pea genotype rankings. Based on the three seasons of field trial data, NDVI derived from both the CC and UAV sensors were linearly related to biomass production during pre-canopy closure growth. In water limiting environments, seed yield was positively correlated to NDVI measures. Measures calculated from the area under the NDVI curve throughout the growth season, and an additive main effect and multiplicative interaction model (AMMI) identified varieties with high vigour scores (high NDVI). Overall, a high vigour score was correlated to seed yield in lower yielding environments. From these results it appeared that higher vigour helps achieve higher yields in drier environments, however it was correlated with lower yields in better environments.

KeywordsCrop circle; Field pea; NDVI; UAV; Vegetation indices
ANZSRC Field of Research 2020300206. Agricultural spatial analysis and modelling
3004. Crop and pasture production
Byline AffiliationsAgriculture Victoria
University of Tasmania
Wagga Wagga Agricultural Institute, Australia
Permalink -

https://research.usq.edu.au/item/z3080/estimating-early-season-growth-and-biomass-of-field-pea-for-selection-of-divergent-ideotypes-using-proximal-sensing

Log in to edit

Download files

Published Version
1-s2.0-S0378429021003531-main.pdf
License: CC BY 4.0
File access level: Anyone

  • 51
    total views
  • 11
    total downloads
  • 3
    views this month
  • 1
    downloads this month

Export as

Related outputs

Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation
Colaco, A.F., Whelan, B.M., Bramley, R.G.V., Richetti, J., Fajardo, M., McCarthy, A.C., Perry, E.M., Bender, A., Leo, S., Fitzgerald, G.J. and Lawes, R.A.. 2024. "Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation ." Precision Agriculture. https://doi.org/10.1007/s11119-023-10102-z
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
Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping
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
Can additional N fertiliser ameliorate the elevated CO2-induced depression in grain and tissue N concentrations of wheat on a high soil N background?
Tausz, M., Norton, R. M., Tausz-Posch, S., Low, M., Seneweera, S., O'Leary, G., Armstrong, R. and Fitzgerald, G. J.. 2017. "Can additional N fertiliser ameliorate the elevated CO2-induced depression in grain and tissue N concentrations of wheat on a high soil N background?" Journal of Agronomy and Crop Science. 203 (6), pp. 574-583. https://doi.org/10.1111/jac.12209
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
Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support
Bramley, Rob, Whelan, Brett, Colaco, André, McCarthy, Alison, Richetti, Jonathan, Lawes, Roger, Fajardo, Mario, Bender, Asher, Pothula, Anand, Baillie, Craig, Perry, Eileen, Fitzgerald, Glenn, Clancy, Alex, Leo, Stephen and Grace, Peter. 2022. Future Farm: Improving farmer confidence in targeted N management through automated sensing and decision support. Australia. Grains Research and Development Corporation.
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
Impacts of elevated atmospheric CO2 on nutrient content of important food crops
Dietterich, Lee H., Zanobetti, Antonella, Kloog, Itai, Huybers, Peter, Leakey, Andrew D. B., Bloom, Arnold J., Carlisle, Eli, Fernando, Nimesha, Fitzgerald, Glenn, Hasegawa, Toshihiro, Holbrook, N. Michele, Nelson, Randall L., Norton, Robert, Ottman, Michael J., Raboy, Victor, Sakai, Hidemitsu, Sartor, Karla A., Schwartz, Joel, Seneweera, Saman, ..., Myers, Samuel S.. 2015. "Impacts of elevated atmospheric CO2 on nutrient content of important food crops." Scientific Data. 2, pp. 1-8. https://doi.org/10.1038/sdata.2015.36
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
Elevated atmospheric [CO2] can dramatically increase wheat yields in semi-arid environments and buffer against heat waves
Fitzgerald, Glenn J., Tausz, Michael, O'Leary, Garry, Mollah, Mahabubur R., Tausz-Posch, Sabine, Seneweera, Saman, Mock, Ivan, Low, Markus, Partington, Debra L., McNeil, David and Norton, Robert M.. 2016. "Elevated atmospheric [CO2] can dramatically increase wheat yields in semi-arid environments and buffer against heat waves." Global Change Biology. 22 (6), pp. 2269-2284. https://doi.org/10.1111/gcb.13263
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
Intraspecific variation in leaf growth of wheat (Triticum aestivum) under Australian Grain Free Air CO2 Enrichment (AGFACE): Is it regulated through carbon and/or nitrogen supply?
Thilakarathne, Chamindathee L., Tausz-Posch, Sabine, Cane, Karen, Norton, Robert M., Fitzgerald, Glenn J., Tausz, Michael and Seneweera, Saman. 2015. "Intraspecific variation in leaf growth of wheat (Triticum aestivum) under Australian Grain Free Air CO2 Enrichment (AGFACE): Is it regulated through carbon and/or nitrogen supply?" Functional Plant Biology: an international journal of plant function. 42 (3), pp. 299-308. https://doi.org/10.1071/FP14125
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
Increasing CO2 threatens human nutrition
Myers, Samuel S., Zanobetti, Antonella, Kloog, Itai, Huybers, Peter, Leakey, Andrew D. B., Bloom, Arnold, Carlisle, Eli, Dietterich, Lee H., Fitzgerald, Glenn, Hasegawa, Toshihiro, Holbrook, N. Michele, Nelson, Randall L., Ottman, Michael J., Raboy, Victor, Sakai, Hidemitsu, Sartor, Karla A., Schwartz, Joel, Seneweera, Saman, Tausz, Michael and Usui, Yasuhiro. 2014. "Increasing CO2 threatens human nutrition." Nature. 510 (7503), pp. 139-142. https://doi.org/10.1038/nature13179
Does a freely tillering wheat cultivar benefit more from elevated CO2 than a restricted tillering cultivar in a water-limited environment?
Tausz-Posch, Sabine, Dempsey, Raymond W., Seneweera, Saman, Norton, Robert M., Fitzgerald, Glenn and Tausz, Michael. 2015. "Does a freely tillering wheat cultivar benefit more from elevated CO2 than a restricted tillering cultivar in a water-limited environment?" European Journal of Agronomy. 64, pp. 21-28. https://doi.org/10.1016/j.eja.2014.12.009
Can a wheat cultivar with high transpiration efficiency maintain its yield advantage over a near-isogenic cultivar under elevated CO2?
Tausz-Posch, Sabine, Seneweera, Saman, Norton, Robert M., Fitzgerald, Glenn J. and Tausz, Michael. 2012. "Can a wheat cultivar with high transpiration efficiency maintain its yield advantage over a near-isogenic cultivar under elevated CO2?" Field Crops Research. 133, pp. 160-166. https://doi.org/10.1016/j.fcr.2012.04.007
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
Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations
Tausz, Michael, Tausz-Posch, Sabine, Norton, Robert M., Fitzgerald, Glenn J., Nicolas, Marc E. and Seneweera, Saman. 2013. "Understanding crop physiology to select breeding targets and improve crop management under increasing atmospheric CO2 concentrations ." Environmental and Experimental Botany. 88, pp. 71-80. https://doi.org/10.1016/j.envexpbot.2011.12.005
The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions: a FACE study
Tausz-Posch, Sabine, Borowiak, Klaudia, Dempsey, Raymond W., Norton, Robert M., Seneweera, Saman, Fitzgerald, Glenn J. and Tausz, Michael. 2013. "The effect of elevated CO2 on photochemistry and antioxidative defence capacity in wheat depends on environmental growing conditions: a FACE study." Environmental and Experimental Botany. 88, pp. 81-92. https://doi.org/10.1016/j.envexpbot.2011.12.002
Will intra-specific differences in transpiration efficiency in wheat be maintained in a high CO2 world? A FACE study
Tausz-Posch, Sabine, Norton, Robert M., Seneweera, Saman, Fitzgerald, Glenn J. and Tausz, Michael. 2013. "Will intra-specific differences in transpiration efficiency in wheat be maintained in a high CO2 world? A FACE study." Physiologia Plantarum. 148 (2), pp. 232-245. https://doi.org/10.1111/j.1399-3054.2012.01701.x
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