Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing

Roy, Bishal; Sagan, Vasit; Haireti, Alifu; Newcomb, Maria; Tuberosa, Roberto; LeBauer, David; Shakoor, Nadia

doi:10.3390/rs16010155

Title: Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing

Journal Article · 30 December 2023 · Remote Sensing

DOI: https://doi.org/10.3390/rs16010155 · OSTI ID:2274701

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Wheat, being the third largest U.S. crop and the principal food grain, faces significant risks from climate extremes such as drought. This necessitates identifying and developing methods for early water-stress detection to prevent yield loss and improve water-use efficiency. This study investigates the potential of hyperspectral imaging to detect the early stages of drought stress in wheat. The goal is to utilize this technology as a tool for screening and selecting drought-tolerant wheat genotypes in breeding programs. Additionally, this research aims to systematically evaluate the effectiveness of various existing sensors and methods for detecting early stages of water stress. The experiment was conducted in a durum wheat experimental field trial in Maricopa, Arizona, in the spring of 2019 and included well-watered and water-limited treatments of a panel of 224 replicated durum wheat genotypes. Spectral indices derived from hyperspectral imagery were compared against other plant-level indicators of water stress such as Photosystem II (PSII) and relative water content (RWC) data derived from proximal sensors. Our findings showed a 12% drop in photosynthetic activity in the most affected genotypes when compared to the least affected. The Leaf Water Vegetation Index 1 (LWVI1) highlighted differences between drought-resistant and drought-susceptible genotypes. Drought-resistant genotypes retained 43.36% more water in leaves under well-watered conditions compared to water-limited conditions, while drought-susceptible genotypes retained only 15.69% more. The LWVI1 and LWVI2 indices, aligned with the RWC measurements, revealed a strong inverse correlation in the susceptible genotypes, underscoring their heightened sensitivity to water stress in earlier stages. Several genotypes previously classified based on their drought resistance showed spectral indices deviating from expectations. Results from this research can aid farmers in improving crop yields by informing early management practices. Moreover, this research offers wheat breeders insights into the selection of drought-tolerant genotypes, a requirement that is becoming increasingly important as weather patterns continue to change.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AR0000594

OSTI ID:: 2274701

Journal Information:: Remote Sensing, Journal Name: Remote Sensing Journal Issue: 1 Vol. 16; ISSN 2072-4292; ISSN RSBSBZ

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

References (56)

Water and Plant Life Lange, O. L.; Kappen, L.; Schulze, E. -D. Ecological Studies https://doi.org/10.1007/978-3-642-66429-8	book	January 1976
A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index Ghulam, Abduwasit; Li, Zhao-Liang; Qin, QiMing Science in China Series D: Earth Sciences, Vol. 50, Issue 9 https://doi.org/10.1007/s11430-007-0086-9	journal	September 2007
Hydration properties of durum wheat semolina: influence of particle size and temperature Hébrard, A.; Oulahna, D.; Galet, L. Powder Technology, Vol. 130, Issue 1-3 https://doi.org/10.1016/S0032-5910(02)00268-1	journal	February 2003
Water content estimation in vegetation with MODIS reflectance data and model inversion methods Zarco-Tejada, P. J.; Rueda, C. A.; Ustin, S. L. Remote Sensing of Environment, Vol. 85, Issue 1 https://doi.org/10.1016/S0034-4257(02)00197-9	journal	April 2003
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space Gao, Bo-cai Remote Sensing of Environment, Vol. 58, Issue 3 https://doi.org/10.1016/S0034-4257(96)00067-3	journal	December 1996
Plants in water-controlled ecosystems: active role in hydrologic processes and response to water stress Porporato, A.; Laio, F.; Ridolfi, L. Advances in Water Resources, Vol. 24, Issue 7 https://doi.org/10.1016/S0309-1708(01)00006-9	journal	July 2001
Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing Krishna, Gopal; Sahoo, Rabi N.; Singh, Prafull Agricultural Water Management, Vol. 213 https://doi.org/10.1016/j.agwat.2018.08.029	journal	March 2019
Atmospheric correction issues for retrieving total suspended matter concentrations in inland waters using OLI/Landsat-8 image Bernardo, Nariane; Watanabe, Fernanda; Rodrigues, Thanan Advances in Space Research, Vol. 59, Issue 9 https://doi.org/10.1016/j.asr.2017.02.017	journal	May 2017
Hyperspectral machine vision as a tool for water stress severity assessment in soilless tomato crop Elvanidi, A.; Katsoulas, N.; Ferentinos, K. P. Biosystems Engineering, Vol. 165 https://doi.org/10.1016/j.biosystemseng.2017.11.002	journal	January 2018
Detecting drought status and LAI of two Quercus species canopies using derivative spectra Imanishi, Junichi; Sugimoto, Kayoko; Morimoto, Yukihiro Computers and Electronics in Agriculture, Vol. 43, Issue 2 https://doi.org/10.1016/j.compag.2003.12.001	journal	May 2004
Comparative physiology and proteomic analysis of two wheat genotypes contrasting in drought tolerance Faghani, Elham; Gharechahi, Javad; Komatsu, Setsuko Journal of Proteomics, Vol. 114 https://doi.org/10.1016/j.jprot.2014.10.018	journal	January 2015
Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding van Eeuwijk, Fred A.; Bustos-Korts, Daniela; Millet, Emilie J. Plant Science, Vol. 282 https://doi.org/10.1016/j.plantsci.2018.06.018	journal	May 2019
Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data Galvão, Lênio Soares; Formaggio, Antônio Roberto; Tisot, Daniela Arnold Remote Sensing of Environment, Vol. 94, Issue 4 https://doi.org/10.1016/j.rse.2004.11.012	journal	February 2005
Spectral sensing of foliar water conditions in two co-occurring conifer species: Pinus edulis and Juniperus monosperma Stimson, Hugh C.; Breshears, David D.; Ustin, Susan L. Remote Sensing of Environment, Vol. 96, Issue 1 https://doi.org/10.1016/j.rse.2004.12.007	journal	May 2005
Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling Féret, Jean-Baptiste; François, Christophe; Gitelson, Anatoly Remote Sensing of Environment, Vol. 115, Issue 10 https://doi.org/10.1016/j.rse.2011.06.016	journal	October 2011
Translating High-Throughput Phenotyping into Genetic Gain Araus, José Luis; Kefauver, Shawn C.; Zaman-Allah, Mainassara Trends in Plant Science, Vol. 23, Issue 5 https://doi.org/10.1016/j.tplants.2018.02.001	journal	May 2018
A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States Gu, Yingxin; Brown, Jesslyn F.; Verdin, James P. Geophysical Research Letters, Vol. 34, Issue 6 https://doi.org/10.1029/2006GL029127	journal	January 2007
Wheat canopy temperature: A practical tool for evaluating water requirements Jackson, R. D.; Reginato, R. J.; Idso, S. B. Water Resources Research, Vol. 13, Issue 3 https://doi.org/10.1029/WR013i003p00651	journal	June 1977
Physiological and biochemical changes during drought and recovery periods at tillering and jointing stages in wheat (Triticum aestivum L.) Abid, Muhammad; Ali, Shafaqat; Qi, Lei Kang Scientific Reports, Vol. 8, Issue 1 https://doi.org/10.1038/s41598-018-21441-7	journal	March 2018
Hydrogen-rich water: a key player in boosting wheat (Triticum aestivum L.) seedling growth and drought resilience Islam, Md. Ariful; Shorna, Most. Nourin Akther; Islam, Shirmin Scientific Reports, Vol. 13, Issue 1 https://doi.org/10.1038/s41598-023-49973-7	journal	December 2023
Plant influence on rhizosphere hydraulic properties: direct measurements using a miniaturized infiltrometer Hallett, P. D.; Gordon, D. C.; Bengough, A. G. New Phytologist, Vol. 157, Issue 3 https://doi.org/10.1046/j.1469-8137.2003.00690.x	journal	March 2003
Morphological, physiological and yield responses of durum wheat to pre-anthesis water-deficit stress are genotype-dependent Liu, Haipei; Searle, Iain R.; Mather, Diane E. Crop and Pasture Science, Vol. 66, Issue 10 https://doi.org/10.1071/CP15013	journal	January 2015
How Plants Cope with Water Stress in the Field? Photosynthesis and Growth Chaves, M. M. Annals of Botany, Vol. 89, Issue 7 https://doi.org/10.1093/aob/mcf105	journal	June 2002
Hyperspectral remote sensing of plant pigments Blackburn, G. A. Journal of Experimental Botany, Vol. 58, Issue 4 https://doi.org/10.1093/jxb/erl123	journal	November 2006
Optical Sensing of Vegetation Water Content: A Synthesis Study Gao, Ying; Walker, Jeffrey P.; Allahmoradi, Mahdi IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Issue 4 https://doi.org/10.1109/JSTARS.2015.2398034	journal	April 2015
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data Sagan, Vasit; Maimaitijiang, Maitiniyazi; Paheding, Sidike IEEE Transactions on Geoscience and Remote Sensing, Vol. 60 https://doi.org/10.1109/TGRS.2021.3091409	journal	January 2022
Sustaining productivity gains in the face of climate change: A research agenda for US wheat Kusunose, Yoko; Rossi, Jairus J.; Van Sanford, David A. Global Change Biology, Vol. 29, Issue 4 https://doi.org/10.1111/gcb.16538	journal	December 2022
Photochemical reflectance index as a mean of monitoring early water stress Sarlikioti, V.; Driever, S. M.; Marcelis, L. F. M. Annals of Applied Biology, Vol. 157, Issue 1 https://doi.org/10.1111/j.1744-7348.2010.00411.x	journal	June 2010
Hyperspectral Remote Sensing of Vegetation Im, Jungho; Jensen, John R. Geography Compass, Vol. 2, Issue 6 https://doi.org/10.1111/j.1749-8198.2008.00182.x	journal	November 2008
Drone‐based physiological index reveals long‐term acclimation and drought stress responses in trees D'Odorico, Petra; Schönbeck, Leonie; Vitali, Valentina Plant, Cell & Environment, Vol. 44, Issue 11 https://doi.org/10.1111/pce.14177	journal	September 2021
TERRA-REF Data Processing Infrastructure Burnette, Maxwell; Kooper, Rob; Maloney, J. D. PEARC '18: Practice and Experience in Advanced Research Computing, Proceedings of the Practice and Experience on Advanced Research Computing https://doi.org/10.1145/3219104.3219152	conference	July 2018
Biochemical and phenological characterization of diverse wheats and their association with drought tolerance genes Ali, Iftikhar; Anwar, Saeed; Ali, Ahmad BMC Plant Biology, Vol. 23, Issue 1 https://doi.org/10.1186/s12870-023-04278-9	journal	June 2023
Modeling the impacts of climate change and technical progress on the wheat yield in inland China: An autoregressive distributed lag approach Zhai, Shiyan; Song, Genxin; Qin, Yaochen PLOS ONE, Vol. 12, Issue 9 https://doi.org/10.1371/journal.pone.0184474	journal	September 2017
Discriminating Spectral Signatures Among and Within Two Closely Related Grapevine Species Maimaitiyiming, Matthew; Miller, Allison J.; Ghulam, Abduwasit Photogrammetric Engineering & Remote Sensing, Vol. 82, Issue 1 https://doi.org/10.14358/PERS.82.2.51	journal	January 2016
Genetic Basis of Drought Resistance at Reproductive Stage in Rice: Separation of Drought Tolerance From Drought Avoidance Yue, Bing; Xue, Weiya; Xiong, Lizhong Genetics, Vol. 172, Issue 2 https://doi.org/10.1534/genetics.105.045062	journal	November 2005
Increasing Water Use Efficiency in Vegetable Crop Production: From Plant to Irrigation Systems Efficiency De Pascale, Stefania; Costa, Luisa Dalla; Vallone, Simona HortTechnology, Vol. 21, Issue 3 https://doi.org/10.21273/HORTTECH.21.3.301	journal	June 2011
Active Optical Sensors in Irrigated Durum Wheat: Nitrogen and Water Effects Bronson, Kevin F.; White, Jeffrey W.; Conley, Matthew M. Agronomy Journal, Vol. 109, Issue 3 https://doi.org/10.2134/agronj2016.07.0390	journal	May 2017
Evaluation of Yield and Drought Using Active and Passive Spectral Sensing Systems at the Reproductive Stage in Wheat Becker, Elisabeth; Schmidhalter, Urs Frontiers in Plant Science, Vol. 8 https://doi.org/10.3389/fpls.2017.00379	journal	March 2017
Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment Kyratzis, Angelos C.; Skarlatos, Dimitrios P.; Menexes, George C. Frontiers in Plant Science, Vol. 8 https://doi.org/10.3389/fpls.2017.01114	journal	June 2017
Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms Fu, Peng; Meacham-Hensold, Katherine; Guan, Kaiyu Frontiers in Plant Science, Vol. 10 https://doi.org/10.3389/fpls.2019.00730	journal	June 2019
Proximal Hyperspectral Imaging Detects Diurnal and Drought-Induced Changes in Maize Physiology Mertens, Stien; Verbraeken, Lennart; Sprenger, Heike Frontiers in Plant Science, Vol. 12 https://doi.org/10.3389/fpls.2021.640914	journal	February 2021
Drought responsiveness in six wheat genotypes: identification of stress resistance indicators Guizani, Asma; Askri, Hend; Amenta, Maria Laura Frontiers in Plant Science, Vol. 14 https://doi.org/10.3389/fpls.2023.1232583	journal	September 2023
Durum Wheat (Triticum durum Desf.): Origin, Cultivation and Potential Expansion in Sub-Saharan Africa Tidiane Sall, Amadou; Chiari, Tiberio; Legesse, Wasihun Agronomy, Vol. 9, Issue 5 https://doi.org/10.3390/agronomy9050263	journal	May 2019
Genome Wide Association Study Uncovers the QTLome for Osmotic Adjustment and Related Drought Adaptive Traits in Durum Wheat Condorelli, Giuseppe Emanuele; Newcomb, Maria; Groli, Eder Licieri Genes, Vol. 13, Issue 2 https://doi.org/10.3390/genes13020293	journal	February 2022
Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research Sallam, Ahmed; Alqudah, Ahmad M.; Dawood, Mona F. A. International Journal of Molecular Sciences, Vol. 20, Issue 13 https://doi.org/10.3390/ijms20133137	journal	June 2019
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning Loggenberg, Kyle; Strever, Albert; Greyling, Berno Remote Sensing, Vol. 10, Issue 2 https://doi.org/10.3390/rs10020202	journal	January 2018
Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index Xu, Nianxu; Tian, Jia; Tian, Qingjiu Remote Sensing, Vol. 11, Issue 10 https://doi.org/10.3390/rs11101192	journal	May 2019
Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review Gerhards, Max; Schlerf, Martin; Mallick, Kaniska Remote Sensing, Vol. 11, Issue 10 https://doi.org/10.3390/rs11101240	journal	May 2019
Estimation of Herbaceous Fuel Moisture Content Using Vegetation Indices and Land Surface Temperature from MODIS Data Sow, Momadou; Mbow, Cheikh; Hély, Christelle Remote Sensing, Vol. 5, Issue 6 https://doi.org/10.3390/rs5062617	journal	May 2013
Early Detection of Plant Physiological Responses to Different Levels of Water Stress Using Reflectance Spectroscopy Maimaitiyiming, Matthew; Ghulam, Abduwasit; Bozzolo, Arianna Remote Sensing, Vol. 9, Issue 7 https://doi.org/10.3390/rs9070745	journal	July 2017
Evaluating Structural, Chlorophyll-Based and Photochemical Indices to Detect Summer Maize Responses to Continuous Water Stress Li, Meng; Chu, Ronghao; Yu, Qian Water, Vol. 10, Issue 4 https://doi.org/10.3390/w10040500	journal	April 2018
Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean Wong, Christopher YS; Gilbert, Matthew E.; Pierce, Marshall A. Plant Phenomics, Vol. 5 https://doi.org/10.34133/plantphenomics.0021	journal	January 2023
Soil salinity mapping and hydrological drought indices assessment in arid environments based on remote sensing techniques Elhag, Mohamed; Bahrawi, Jarbou A. Geoscientific Instrumentation, Methods and Data Systems, Vol. 6, Issue 1 https://doi.org/10.5194/gi-6-149-2017	journal	March 2017
The SPARSE model for the prediction of water stress and evapotranspiration components from thermal infra-red data and its evaluation over irrigated and rainfed wheat Boulet, G.; Mougenot, B.; Lhomme, J. -P. Hydrology and Earth System Sciences, Vol. 19, Issue 11 https://doi.org/10.5194/hess-19-4653-2015	journal	November 2015
A Fully Automated and fast Approach for Canopy Cover Estimation Using Super High-Resolution Remote Sensing Imagery Maimaitijiang, M.; Sagan, V.; Bhadra, S. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. V-3-2021 https://doi.org/10.5194/isprs-annals-V-3-2021-219-2021	journal	June 2021
A Hyperspectral Remote Sensing Fusion Technology Based on Spectral Normalization of gf and zy Series Satellites Liu, S.; Li, H.; Wang, X. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLIII-B3-2022 https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-509-2022	journal	May 2022

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