{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T19:02:33Z","timestamp":1776798153773,"version":"3.51.2"},"reference-count":111,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,5]],"date-time":"2018-04-05T00:00:00Z","timestamp":1522886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIA-1355406"],"award-info":[{"award-number":["IIA-1355406"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIA-1430427"],"award-info":[{"award-number":["IIA-1430427"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The National Aeronautics and Space Administration","award":["NNH09ZDA001N"],"award-info":[{"award-number":["NNH09ZDA001N"]}]},{"name":"The National Aeronautics and Space Administration","award":["NNX13AB23A"],"award-info":[{"award-number":["NNX13AB23A"]}]},{"name":"The National Aeronautics and Space Administration","award":["NNX15AK03H"],"award-info":[{"award-number":["NNX15AK03H"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The effects of increasing ambient ozone (O3) concentrations on food security has become a major concern as the demand for agricultural productivity is projected to increase significantly over the next several decades. In this contribution, the responses of common soybean genotypes (AK-HARROW, PI88788, DWIGHT, PANA, and WILLIAMS82) to ambient O3 are characterized using hyperspectral data and foliar biophysical, mineral nutrient concentrations and soybean yield. Specifically, leaf reflectance spectra measured at different growth stages and canopy layers were used to examine the spectral indices that were most strongly correlated with leaf physiological status. The effects of elevated O3 on six important nutrients (K, Ca, Mg, Fe, Mn and Cu) were evaluated by analyzing the variations in nutrient concentrations at two critical growth stages with increasing ambient O3 concentration using Partial Least Square Regression (PLSR). Lastly, the identified best spectral indices and the robust nutrient prediction models were extrapolated to the entire growth period to explore their ability to track the effects of ambient O3 concentrations on soybean physiology and nutrient uptake. The results showed that fluorescence yield (\u0394F\/Fm\u2019) and photochemical quenching (qP) appear to be good indicators of soybean physiological responses to O3 stress that are echoed by the harvest index (HI). Newly identified normalized difference spectral index (NDSI) [R416, R2371] always had the highest correlation (R2 &gt; 0.6) with \u0394F\/Fm\u2019, qP and electron transport rate (ETR, \u03bcmol m\u22122 s\u22121) compared to the published indices. Additionally, there were significant and broad spectral regions in visible and near infrared region that were well-correlated with \u0394F\/Fm\u2019 and selected NDSIs that were applicable to satellite observations. The results of nutrient modeling using PLSR explained 54\u201387% of the variance in nutrient concentrations, and the predicted mineral nutrient accumulation throughout the growing season reflected the responses of ozone tolerant and sensitive genotypes well. NDSI [R416, R2371] demonstrated great potential in regard to its sensitivity in tracking plant physiological responses to changing ambient O3 concentrations. The outcome of this research has potential implications for development of space-based observation of large-scale crop responses to O3 damage, as well as for biotechnological breeding efforts to improve ozone tolerance under future climate scenarios.<\/jats:p>","DOI":"10.3390\/rs10040562","type":"journal-article","created":{"date-parts":[[2018,4,5]],"date-time":"2018-04-05T16:50:58Z","timestamp":1522947058000},"page":"562","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Effects of Ambient Ozone on Soybean Biophysical Variables and Mineral Nutrient Accumulation"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4375-2096","authenticated-orcid":false,"given":"Vasit","family":"Sagan","sequence":"first","affiliation":[{"name":"Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO 63108, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4241-6181","authenticated-orcid":false,"given":"Matthew","family":"Maimaitiyiming","sequence":"additional","affiliation":[{"name":"Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO 63108, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jack","family":"Fishman","sequence":"additional","affiliation":[{"name":"Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO 63108, USA"},{"name":"Center for Environmental Sciences, Saint Louis University, St. Louis, MO 63108, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2248","DOI":"10.1016\/j.atmosenv.2010.01.015","article-title":"An investigation of widespread ozone damage to the soybean crop in the upper midwest determined from ground-based and satellite measurements","volume":"44","author":"Fishman","year":"2010","journal-title":"Atmos. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1038\/nclimate2317","article-title":"Threat to future global food security from climate change and ozone air pollution","volume":"4","author":"Tai","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_3","unstructured":"Alexandratos, N., and Bruinsma, J. (2012). World Agriculture towards 2030\/2050: The 2012 Revision, Food and Agriculture Organization of the United Nations."},{"key":"ref_4","first-page":"1569","article-title":"Effects of chronic elevated ozone concentration on antioxidant capacity, photosynthesis and seed yield of 10 soybean cultivars","volume":"33","author":"Betzelberger","year":"2010","journal-title":"Plant Cell Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.1104\/pp.112.205591","article-title":"Ozone exposure response for U.S. Soybean cultivars: Linear reductions in photosynthetic potential, biomass, and yield","volume":"160","author":"Betzelberger","year":"2012","journal-title":"Plant Physiol."},{"key":"ref_6","unstructured":"MacDonald, J.M., Korb, P., and Hoppe, R.A. (2013). Farm Size and the Organization of US Crop Farming, Createspace Independent Pub."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2284","DOI":"10.1016\/j.atmosenv.2010.11.045","article-title":"Global crop yield reductions due to surface ozone exposure: 1. Year 2000 crop production losses and economic damage","volume":"45","author":"Avnery","year":"2011","journal-title":"Atmos. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2297","DOI":"10.1016\/j.atmosenv.2011.01.002","article-title":"Global crop yield reductions due to surface ozone exposure: 2. Year 2030 potential crop production losses and economic damage under two scenarios of O3 pollution","volume":"45","author":"Avnery","year":"2011","journal-title":"Atmos. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/1011-1344(93)06963-4","article-title":"Quantitative estimation of chlorophyll-a using reflectance spectra\u2014Experiments with autumn chestnut and maple leaves","volume":"22","author":"Gitelson","year":"1994","journal-title":"J. Photochem. Photobiol. B"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Gitelson, A.A., Vina, A., Arkebauer, T.J., Rundquist, D.C., Keydan, G., and Leavitt, B. (2003). Remote estimation of leaf area index and green leaf biomass in maize canopies. Geophys. Res. Lett., 30.","DOI":"10.1029\/2002GL016450"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1111\/j.1469-8137.1995.tb03064.x","article-title":"Assessment of photosynthetic radiation-use efficiency with spectral reflectance","volume":"131","author":"Penuelas","year":"1995","journal-title":"New Phytol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/S0034-4257(02)00113-X","article-title":"Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects","volume":"84","author":"Pushnik","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0034-4257(02)00036-6","article-title":"Designing a spectral index to estimate vegetation water content from remote sensing data\u2014Part 2. Validation and applications","volume":"82","author":"Ceccato","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1007\/s11430-007-0086-9","article-title":"A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index","volume":"50","author":"Ghulam","year":"2007","journal-title":"Sci. China Ser. D"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1016\/j.agrformet.2008.05.020","article-title":"Estimating crop water stress with ETM plus NIR and swir data","volume":"148","author":"Ghulam","year":"2008","journal-title":"Agric. For. Meteorol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2583","DOI":"10.1016\/S1352-2310(00)00468-4","article-title":"Evidence of ozone-induced adverse effects on crops in the mediterranean region","volume":"35","author":"Fumagalli","year":"2001","journal-title":"Atmos. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1111\/j.1365-2486.2010.02217.x","article-title":"Evidence of widespread effects of ozone on crops and (semi-)natural vegetation in Europe (1990\u20132006) in relation to AOT40-and flux-based risk maps","volume":"17","author":"Mills","year":"2011","journal-title":"Glob. Chang. Biol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1029\/WR017i004p01133","article-title":"Canopy temperature as a crop water stress indicator","volume":"17","author":"Jackson","year":"1981","journal-title":"Water Resour. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/0034-4257(94)90020-5","article-title":"Estimating crop water-deficit using the relation between surface-air temperature and spectral vegetation index","volume":"49","author":"Moran","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.rse.2011.10.007","article-title":"Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera","volume":"117","author":"Berni","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1016\/j.agrformet.2008.12.001","article-title":"Discriminating irrigated and rainfed olive orchards with thermal ASTER imagery and DART 3D simulation","volume":"149","author":"Sobrino","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_22","first-page":"167","article-title":"Fluorescence, PRI and canopy temperature for water stress detection in cereal crops","volume":"30","author":"Panigada","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.rse.2005.05.006","article-title":"Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale","volume":"97","author":"Dobrowski","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"637","DOI":"10.5194\/bg-8-637-2011","article-title":"First observations of global and seasonal terrestrial chlorophyll fluorescence from space","volume":"8","author":"Joiner","year":"2011","journal-title":"Biogeosciences"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1007\/s004420050337","article-title":"The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels","volume":"112","author":"Gamon","year":"1997","journal-title":"Oecologia"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(94)90079-5","article-title":"Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands","volume":"50","author":"Carter","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1016\/S0176-1617(96)80070-8","article-title":"Narrow-band reflectance imagery compared with thermal imagery for early detection of plant stress","volume":"148","author":"Carter","year":"1996","journal-title":"J. Plant Physiol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1002\/j.1537-2197.1993.tb13796.x","article-title":"Responses of leaf spectral reflectance to plant stress","volume":"80","author":"Carter","year":"1993","journal-title":"Am. J. Bot."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/S0034-4257(97)00110-7","article-title":"Reflectance wavebands and indices for remote estimation of photosynthesis and stomatal conductance in pine canopies","volume":"63","author":"Carter","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3640","DOI":"10.1016\/j.rse.2011.09.002","article-title":"Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland","volume":"115","author":"Eitel","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1093\/jexbot\/51.345.659","article-title":"Chlorophyll fluorescence\u2014A practical guide","volume":"51","author":"Maxwell","year":"2000","journal-title":"J. Exp. Bot."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"832","DOI":"10.2134\/jeq2005.0396","article-title":"Assessment of vegetation stress using reflectance or fluorescence measurements","volume":"36","author":"Campbell","year":"2007","journal-title":"J. Environ. Qual."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4413","DOI":"10.1093\/jxb\/erq244","article-title":"Spectral reflectance from a soybean canopy exposed to elevated CO2 and O3","volume":"61","author":"Gray","year":"2010","journal-title":"J. Exp. Bot."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s11120-013-9837-y","article-title":"Using leaf optical properties to detect ozone effects on foliar biochemistry","volume":"119","author":"Ainsworth","year":"2014","journal-title":"Photosynth. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2360","DOI":"10.1016\/j.rse.2011.04.036","article-title":"Assessing structural effects on PRI for stress detection in conifer forests","volume":"115","author":"Suarez","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1650","DOI":"10.5897\/AJB08.248","article-title":"Changes in micronutrients, dry weight and plant growth of soybean (Glycine max L. Merrill) cultivars under salt stress","volume":"7","author":"Tuncturk","year":"2008","journal-title":"Afr. J. Biotechnol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.rse.2015.10.006","article-title":"A new vegetation index for detecting vegetation anomalies due to mineral deposits with application to a tropical forest area","volume":"171","author":"Hede","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/S0074-7696(08)62707-2","article-title":"Calcium signaling during abiotic stress in plants","volume":"195","author":"Knight","year":"2000","journal-title":"Int. Rev. Cytol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1093\/treephys\/tpq055","article-title":"Global climate change and tree nutrition: Influence of water availability","volume":"30","author":"Kreuzwieser","year":"2010","journal-title":"Tree Physiol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/BF02413021","article-title":"Seasonal-changes in production and nutrient content of Cynodon-dactylon (L.) pers subjected to water deficits","volume":"175","author":"Utrillas","year":"1995","journal-title":"Plant Soil"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1109\/LGRS.2015.2397001","article-title":"Characterizing crop responses to background ozone in open-air agricultural field by using reflectance spectroscopy","volume":"12","author":"Ghulam","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1094\/PDIS.2001.85.1.4","article-title":"Ambient ozone and plant health","volume":"85","author":"Krupa","year":"2001","journal-title":"Plant Dis."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Gara, T.W., Darvishzadeh, R., Skidmore, A.K., and Wang, T. (2018). Impact of vertical canopy position on leaf spectral properties and traits across multiple species. Remote Sens., 10.","DOI":"10.3390\/rs10020346"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.fcr.2012.11.017","article-title":"Non-uniform vertical nitrogen distribution within plant canopy and its estimation by remote sensing: A review","volume":"142","author":"Li","year":"2013","journal-title":"Field Crop Res."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0304-4165(89)80016-9","article-title":"The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence","volume":"990","author":"Genty","year":"1989","journal-title":"Biochim. Biophys. Acta"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1111\/j.1439-037X.1997.tb00519.x","article-title":"Phenological growth stages of the soybean plant (Glycine max L. Merr.): Codification and description according to the bbch scale","volume":"179","author":"Munger","year":"1997","journal-title":"J. Agron. Crop Sci."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Veley, K.M., Berry, J.C., Fentress, S.J., Schachtman, D.P., Baxter, I., and Bart, R. (2017). High-throughput profiling and analysis of plant responses over time to abiotic stress. Plant Direct, 1.","DOI":"10.1002\/pld3.23"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1146\/annurev.pp.31.060180.001323","article-title":"The mineral nutrition of higher plants","volume":"31","author":"Clarkson","year":"1980","journal-title":"Annu. Rev. Plant Physiol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/S0065-2113(08)60559-3","article-title":"The biological yield and harvest index of cereals as agronomic and plant breeding criteria","volume":"Volume 28","author":"Brady","year":"1976","journal-title":"Advances in Agronomy"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1175\/BAMS-D-13-00009.1","article-title":"The St. Louis ozone garden: Visualizing the impact of a changing atmosphere","volume":"95","author":"Fishman","year":"2014","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1046\/j.1469-8137.1999.00424.x","article-title":"Assessing leaf pigment content and activity with a reflectometer","volume":"143","author":"Gamon","year":"1999","journal-title":"New Phytol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1562\/0031-8655(2001)074<0038:OPANEO>2.0.CO;2","article-title":"Optical properties and nondestructive estimation of anthocyanin content in plant leaves","volume":"74","author":"Gitelson","year":"2001","journal-title":"Photochem. Photobiol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1562\/0031-8655(2002)075<0272:ACCIPL>2.0.CO;2","article-title":"Assessing carotenoid content in plant leaves with reflectance spectroscopy","volume":"75","author":"Gitelson","year":"2002","journal-title":"Photochem. Photobiol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/0034-4257(92)90089-3","article-title":"Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybean leaves","volume":"39","author":"Chappelle","year":"1992","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0034-4257(98)00059-5","article-title":"Quantifying chlorophylls and caroteniods at leaf and canopy scales: An evaluation of some hyperspectral approaches","volume":"66","author":"Blackburn","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2571","DOI":"10.1109\/JSTARS.2014.2330352","article-title":"Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress","volume":"7","author":"Delalieux","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1016\/S0176-1617(11)81633-0","article-title":"Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. And Acer platanoides L. Leaves. Spectral features and relation to chlorophyll estimation","volume":"143","author":"Gitelson","year":"1994","journal-title":"J. Plant Physiol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S0034-4257(02)00010-X","article-title":"Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages","volume":"81","author":"Sims","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_60","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1974). Monitoring Vegetation Systems in the Great Plains with ERTS."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/0034-4257(92)90059-S","article-title":"A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency","volume":"41","author":"Gamon","year":"1992","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1034\/j.1399-3054.1999.106119.x","article-title":"Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening","volume":"106","author":"Merzlyak","year":"1999","journal-title":"Physiol. Plant."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1109\/36.934080","article-title":"Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data","volume":"39","author":"Miller","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_64","unstructured":"Guyot, G., and Baret, F. (1988). Utilisation de la haute resolution spectrale pour suivre l\u2019etat des couverts vegetaux. Spectr. Signat. Objects Remote Sens., 287."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/0034-4257(94)00114-3","article-title":"Estimating par absorbed by vegetation from bidirectional reflectance measurements","volume":"51","author":"Roujean","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"663","DOI":"10.2307\/1936256","article-title":"Derivation of leaf-area index from quality of light on the forest floor","volume":"50","author":"Jordan","year":"1969","journal-title":"Ecology"},{"key":"ref_67","first-page":"221","article-title":"Semi-empirical indices to assess carotenoids\/chlorophyll a ratio from leaf spectral reflectance","volume":"31","author":"Penuelas","year":"1995","journal-title":"Photosynthetica"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/S0034-4257(02)00018-4","article-title":"Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture","volume":"81","author":"Haboudane","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/S0034-4257(00)00197-8","article-title":"Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density","volume":"76","author":"Broge","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1080\/01431169308953986","article-title":"Red edge spectral measurements from sugar maple leaves","volume":"14","author":"Vogelmann","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1887","DOI":"10.1080\/01431169308954010","article-title":"The reflectance at the 950\u2013970 nm region as an indicator of plant water status","volume":"14","author":"Filella","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_72","unstructured":"R Development Core Team (2011). R: A Language and Environment for Statistical Computing [internet], R Foundation for Statistical Computing."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/S0065-2113(10)05005-4","article-title":"Chapter 5\u2014Variability in harvest index of grain crops and potential significance for carbon accounting: Examples from Australian agriculture","volume":"105","author":"Unkovich","year":"2010","journal-title":"Adv. Agron."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/S0378-4290(02)00179-X","article-title":"Growth, gas exchange, water relations, and ion composition of Phaseolus species grown under saline conditions","volume":"80","author":"Debouck","year":"2003","journal-title":"Field Crops Res."},{"key":"ref_75","first-page":"67","article-title":"Effect of high NaCl-salinity on plant growth, leaf morphology, and ion composition in leaf tissues of Beta vulgaris ssp. maritima","volume":"74","author":"Koyro","year":"2000","journal-title":"J. Appl. Bot.-Angew. Bot."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"7370","DOI":"10.3390\/ijms14047370","article-title":"The critical role of potassium in plant stress response","volume":"14","author":"Wang","year":"2013","journal-title":"Int. J. Mol. Sci."},{"key":"ref_77","unstructured":"Marschner, H., and Marschner, P. (2012). Marschner\u2019s Mineral Nutrition of Higher Plants, Elsevier\/Academic Press. [3rd ed.]."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1111\/j.1744-7348.2004.tb00347.x","article-title":"Effect of salinisation of soil on growth and macro- and micro-nutrient accumulation in seedlings of Acacia catechu (Mimosaceae)","volume":"144","author":"Ramoliya","year":"2004","journal-title":"Ann. Appl. Biol."},{"key":"ref_79","first-page":"3726","article-title":"Changes of micronutrients, dry weight and plant development in canola (Brassica Napus L.) cultivars under salt stress","volume":"10","author":"Tuncturk","year":"2011","journal-title":"Afr. J. Biotechnol."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"2797","DOI":"10.1080\/00103629409369226","article-title":"Growth and mineral distribution of Sesuvium-portulacastrum L., a salt-marsh halophyte, under sodium-chloride stress","volume":"25","author":"Venkatesalu","year":"1994","journal-title":"Commun. Soil Sci. Plant Anal."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/0002-1571(71)90022-7","article-title":"The action spectrum, absorptance and quantum yield of photosynthesis in crop plants","volume":"9","author":"McCree","year":"1971","journal-title":"Agric. Meteorol."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Strasser, R., Schwarz, R., and Eggenberg, P. (1988). Fluorescence routine tests to describe the behaviour of a plant in its environment. Applications of Chlorophyll Fluorescene in Photosynthesis Research, Stress Physiology, Hydrobiology and Remote Sensing, Springer.","DOI":"10.1007\/978-94-009-2823-7_22"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0034-4257(96)00072-7","article-title":"Use of a green channel in remote sensing of global vegetation from EOS-MODIS","volume":"58","author":"Gitelson","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.rse.2013.07.024","article-title":"A pri-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index","volume":"138","author":"Williams","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"804","DOI":"10.2135\/cropsci1993.0011183X003300040035x","article-title":"Distribution of nitrogen among leaves in soybean canopies","volume":"33","author":"Shiraiwa","year":"1993","journal-title":"Crop Sci."},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Maimaitiyiming, M., Ghulam, A., Bozzolo, A., Wilkins, J.L., and Kwasniewski, M.T. (2017). Early detection of plant physiological responses to different levels of water stress using reflectance spectroscopy. Remote Sens., 9.","DOI":"10.3390\/rs9070745"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.fcr.2011.02.003","article-title":"Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat","volume":"122","author":"Vigneau","year":"2011","journal-title":"Field Crop Res."},{"key":"ref_88","first-page":"169","article-title":"Recent developments in fast spectroscopy for plant mineral analysis","volume":"6","author":"Husted","year":"2015","journal-title":"Front. Plant Sci."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.isprsjprs.2007.07.004","article-title":"Can nutrient status of four woody plant species be predicted using field spectrometry?","volume":"62","author":"Ferwerda","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"9045","DOI":"10.3390\/rs70709045","article-title":"Prediction of macronutrients at the canopy level using spaceborne imaging spectroscopy and lidar data in a mixedwood boreal forest","volume":"7","author":"Thomas","year":"2015","journal-title":"Remote Sens."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.rse.2003.11.001","article-title":"Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features","volume":"89","author":"Mutanga","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"1775","DOI":"10.1080\/01431169008955129","article-title":"Visible and near infrared reflectance characteristics of dry plant materials","volume":"11","author":"Elvidge","year":"1990","journal-title":"Remote Sens."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.anifeedsci.2003.08.001","article-title":"Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes","volume":"111","author":"Cozzolino","year":"2004","journal-title":"Anim. Feed Sci. Technol."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/S0377-8401(98)00245-4","article-title":"Near infrared spectroscopy prediction of mineral content in botanical fractions from semi-arid grasslands","volume":"77","year":"1999","journal-title":"Anim. Feed Sci. Technol."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"4830","DOI":"10.3390\/s110504830","article-title":"Rapid assessment of mineral concentration in meadow grasses by near infrared reflectance spectroscopy","volume":"11","author":"Ward","year":"2011","journal-title":"Sensors"},{"key":"ref_96","first-page":"183","article-title":"Leaf analysis as a diagnostic tool and guide to fertilization","volume":"3","author":"Embleton","year":"1973","journal-title":"Citrus Ind."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.biosystemseng.2010.01.003","article-title":"Estimation of plant nutritional status by Vis\u2013NIR spectrophotometric analysis on orange leaves [Citrus sinensis (L.) osbeck cv tarocco]","volume":"105","author":"Menesatti","year":"2010","journal-title":"Biosyst. Eng."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"10901","DOI":"10.1021\/jf402166g","article-title":"Diagnosing latent copper deficiency in intact barley leaves (Hordeum vulgare, L.) using near infrared spectroscopy","volume":"61","author":"Bro","year":"2013","journal-title":"J. Agric. Food Chem."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1093\/oxfordjournals.aob.a085731","article-title":"The effect of copper supply on the senescence and the retranslocation of nutrients of the oldest leaf of wheat","volume":"44","author":"Hill","year":"1979","journal-title":"Ann. Bot."},{"key":"ref_100","first-page":"154","article-title":"The influence of certain experimental parameters on the flux characteristics of Mg-28 in the case of barley seedlings in hydroculture experiments","volume":"34","author":"Schimansky","year":"1981","journal-title":"Landwirtsch. Forsch."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1111\/j.1469-8137.2006.01777.x","article-title":"Calcium in plant defence-signalling pathways","volume":"171","author":"Lecourieux","year":"2006","journal-title":"New Phytol."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1111\/j.1747-0765.2008.00311.x","article-title":"Element interconnections in lotus japonicus: A systematic study of the effects of element additions on different natural variants","volume":"55","author":"Chen","year":"2009","journal-title":"Soil Sci. Plant Nutr."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1104\/pp.004440","article-title":"An endoplasmic reticulum-bound Ca2+\/Mn2+ pump, ECA1, supports plant growth and confers tolerance to Mn2+ stress","volume":"130","author":"Wu","year":"2002","journal-title":"Plant Physiol."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1104\/pp.124.1.125","article-title":"Expression of arabidopsis CAX2 in tobacco. Altered metal accumulation and increased manganese tolerance","volume":"124","author":"Hirschi","year":"2000","journal-title":"Plant Physiol."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1080\/01904169609365163","article-title":"Foliar potassium, calcium, magnesium, zinc, and manganese content in soybean cultivars at different stages of development","volume":"19","author":"Defrieri","year":"1996","journal-title":"J. Plant Nutr."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1080\/01904169409364785","article-title":"Patterns of mineral nutrient fluctuations in soybean leaves in relation to their position","volume":"17","author":"Drossopoulos","year":"1994","journal-title":"J. Plant Nutr."},{"key":"ref_107","unstructured":"Taiz, L., and Zeiger, E. (2010). Plant Physiology, Sinauer Associates. [5th ed.]."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1104\/pp.38.6.638","article-title":"Investigations of the role of iron in chlorophyll metabolism. II. Effect of iron deficiency on chlorophyll synthesis","volume":"38","author":"Marsh","year":"1963","journal-title":"Plant Physiol."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.pbi.2009.05.006","article-title":"Physiological functions of mineral micronutrients (Cu, Zn, Mn, Fe, Ni, Mo, B, Cl)","volume":"12","author":"Mendel","year":"2009","journal-title":"Curr. Opin. Plant Biol."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.agrformet.2008.07.007","article-title":"A model for chlorophyll fluorescence and photosynthesis at leaf scale","volume":"149","author":"Verhoef","year":"2009","journal-title":"Agric For. Meteorol."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1016\/j.rse.2009.05.003","article-title":"Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications","volume":"113","author":"Meroni","year":"2009","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/562\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:59:45Z","timestamp":1760194785000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/4\/562"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,5]]},"references-count":111,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,4]]}},"alternative-id":["rs10040562"],"URL":"https:\/\/doi.org\/10.3390\/rs10040562","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,4,5]]}}}