Articles | Volume 21, issue 21
https://doi.org/10.5194/bg-21-4809-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-4809-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Nov 2024
Research article |
| 05 Nov 2024
| 05 Nov 2024
New ozone–nitrogen model shows early senescence onset is the primary cause of ozone-induced reduction in grain quality of wheat
Department of Environment and Geography, University of York, York, YO10 5DD, UK
Clare Brewster
UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK
Felicity Hayes
UK Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, LL57 2UW, UK
Nathan Booth
Department of Environment and Geography, University of York, York, YO10 5DD, UK
Sam Bland
Stockholm Environment Institute, Department of Environment and Geography, University of York, York, YO10 5DD, UK
Pritha Pande
Stockholm Environment Institute, Department of Environment and Geography, University of York, York, YO10 5DD, UK
Samarthia Thankappan
Department of Environment and Geography, University of York, York, YO10 5DD, UK
Håkan Pleijel
Department of Biological and Environmental Sciences, University of Gothenburg, 40530 Gothenburg, Sweden
Lisa Emberson
Department of Environment and Geography, University of York, York, YO10 5DD, UK
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Cited articles
Agathokleous, E., Kitao, M., and Calabrese, E. J.: Hormesis: A Compelling Platform for Sophisticated Plant Science, Trends Plant Sci., 24, 318–327, https://doi.org/10.1016/j.tplants.2019.01.004, 2019.
Baqasi, L. A., Qari, H. A., Al Nahhas, N., Badr, R. H., Taia, W. K., El Dakkak, R., and Hassan, I. A.: Effects of low concentrations of ozone (O3) on metabolic and physiological attributes in wheat (Triticum aestivum L.) pants, Biomed. Pharmacol. J., 11, 929–934, https://doi.org/10.13005/bpj/1450, 2018.
Barraclough, P. B., Lopez-Bellido, R., and Hawkesford, M. J.: Genotypic variation in the uptake, partitioning and remobilisation of nitrogen during grain-filling in wheat, Field Crop. Res., 156, 242–248, https://doi.org/10.1016/j.fcr.2013.10.004, 2014.
Ben Mariem, S., Soba, D., Zhou, B., Loladze, I., Morales, F., and Aranjuelo, I.: Climate Change, Crop Yields, and Grain Quality of C3 Cereals: A Meta-Analysis of [CO2], Temperature, and Drought Effects, Plants, 10, 1–19, https://doi.org/10.3390/plants10061052, 2021.
Bertheloot, J., Andrieu, B., Fournier, C., and Martre, P.: A process-based model to simulate nitrogen distribution in wheat (Triticum aestivum) during grain-filling, Funct. Plant Biol., 35, 781–796, https://doi.org/10.1071/FP08064, 2008.
Bielenberg, D. G., Lynch, J. P., and Pell, E. J.: Nitrogen dynamics during O3-induced accelerated senescence in hybrid poplar, Plant Cell Environ., 25, 501–512, https://doi.org/10.1046/j.1365-3040.2002.00828.x, 2002.
Bland, S.: SEI-DO3SE/pyDO3SE-open: V4.39.11 (v4.39.11), Zenodo [code], https://doi.org/10.5281/zenodo.11620482, 2024.
Bogard, M., Jourdan, M., Allard, V., Martre, P., Perretant, M. R., Ravel, C., Heumez, E., Orford, S., Snape, J., Griffiths, S., Gaju, O., Foulkes, J., and Le Gouis, J.: Anthesis date mainly explained correlations between post-anthesis leaf senescence, grain yield, and grain protein concentration in a winter wheat population segregating for flowering time QTLs, J. Exp. Bot., 62, 3621–3636, https://doi.org/10.1093/jxb/err061, 2011.
Brewster, C.: Ground level ozone and wheat: an exploration of effects on yield, interactions with nitrogen, and potential sources of sensitivity and tolerance, 170 pp., 2023.
Brewster, C., Fenner, N., and Hayes, F.: Chronic ozone exposure affects nitrogen remobilization in wheat at key growth stages, Sci. Total Environ., 908, 168288, https://doi.org/10.1016/j.scitotenv.2023.168288, 2024.
Broberg, M. C., Feng, Z., Xin, Y., and Pleijel, H.: Ozone effects on wheat grain quality – A summary, Environ. Pollut., 197, 203–213, https://doi.org/10.1016/j.envpol.2014.12.009, 2015.
Broberg, M. C., Uddling, J., Mills, G., and Pleijel, H.: Fertilizer efficiency in wheat is reduced by ozone pollution, Sci. Total Environ., 607–608, 876–880, https://doi.org/10.1016/j.scitotenv.2017.07.069, 2017.
Broberg, M. C., Högy, P., Feng, Z., and Pleijel, H.: Effects of elevated CO2 on wheat yield: Non-linear response and relation to site productivity, Agronomy, 9, 1–18, https://doi.org/10.3390/agronomy9050243, 2019.
Broberg, M. C., Xu, Y., Feng, Z., and Pleijel, H.: Harvest index and remobilization of 13 elements during wheat grain filling: Experiences from ozone experiments in China and Sweden, Field Crop. Res., 271, 108259, https://doi.org/10.1016/j.fcr.2021.108259, 2021.
Broberg, M. C., Hayes, F., Harmens, H., Uddling, J., Mills, G., and Pleijel, H.: Effects of ozone, drought and heat stress on wheat yield and grain quality, Agr. Ecosyst. Environ., 352, 108505, https://doi.org/10.1016/j.agee.2023.108505, 2023.
Büker, P., Morrissey, T., Briolat, A., Falk, R., Simpson, D., Tuovinen, J.-P., Alonso, R., Barth, S., Baumgarten, M., Grulke, N., Karlsson, P. E., King, J., Lagergren, F., Matyssek, R., Nunn, A., Ogaya, R., Peñuelas, J., Rhea, L., Schaub, M., Uddling, J., Werner, W., and Emberson, L. D.: DO3SE modelling of soil moisture to determine ozone flux to forest trees, Atmos. Chem. Phys., 12, 5537–5562, https://doi.org/10.5194/acp-12-5537-2012, 2012.
Cariboni, J., Gatelli, D., Liska, R., and Saltelli, A.: The role of sensitivity analysis in ecological modelling, Ecol. Model., 203, 167–182, https://doi.org/10.1016/j.ecolmodel.2005.10.045, 2007.
Chang-Espino, M., González-Fernández, I., Alonso, R., Araus, J. L., and Bermejo-Bermejo, V.: The effect of increased ozone levels on the stable carbon and nitrogen isotopic signature of wheat cultivars and landraces, Atmosphere-Basel, 12, 1–25, https://doi.org/10.3390/atmos12070883, 2021.
Chenu, K., Porter, J. R., Martre, P., Basso, B., Chapman, S. C., Ewert, F., Bindi, M., and Asseng, S.: Contribution of Crop Models to Adaptation in Wheat, Trends Plant Sci., 22, 472–490, https://doi.org/10.1016/j.tplants.2017.02.003, 2017.
Cho, K., Tiwari, S., Agrawal, S. B., Torres, N. L., Agrawal, M., Sarkar, A., Shibato, J., Agrawal, G. K., Kubo, A., and Rakwal, R.: Tropospheric ozone and plants: Absorption, responses, and consequences, Springer, New York, NY, 61–111, https://doi.org/10.1007/978-1-4419-8453-1_3, 2011.
Cook, J.: JoCook1997/DO3SE-CropN: Initial release (v2.0), Zenodo [code], https://doi.org/10.5281/zenodo.13771475, 2024.
Dai, L., Hayes, F., Sharps, K., Harmens, H., and Mills, G.: Nitrogen availability does not affect ozone flux-effect relationships for biomass in birch (Betula pendula) saplings, Sci. Total Environ., 660, 1038–1046, https://doi.org/10.1016/j.scitotenv.2019.01.092, 2019.
Emberson, L. D., Büker, P., Ashmore, M. R., Mills, G., Jackson, L. S., Agrawal, M., Atikuzzaman, M. D., Cinderby, S., Engardt, M., Jamir, C., Kobayashi, K., Oanh, N. T. K., Quadir, Q. F., and Wahid, A.: A comparison of North American and Asian exposure-response data for ozone effects on crop yields, Atmos. Environ., 43, 1945–1953, https://doi.org/10.1016/j.atmosenv.2009.01.005, 2009.
Emberson, L. D., Pleijel, H., Ainsworth, E. A., van den Berg, M., Ren, W., Osborne, S., Mills, G., Pandey, D., Dentener, F., Büker, P., Ewert, F., Koeble, R., and Van Dingenen, R.: Ozone effects on crops and consideration in crop models, Eur. J. Agron., 100, 19–34, https://doi.org/10.1016/j.eja.2018.06.002, 2018.
Ewert, F. and Porter, J. R.: Ozone effects on wheat in relation to CO2: Modelling short-term and long-term responses of leaf photosynthesis and leaf duration, Glob. Change Biol., 6, 735–750, https://doi.org/10.1046/j.1365-2486.2000.00351.x, 2000.
FAO: The future of food and agriculture: trends and challenges, Rome, ISBN 978-92-5-109551-5, 2017.
FAO, IFAD, UNICEF, WFP, and WHO: The State of Food Security and Nutrition in the World 2020. Transforming food systems for affordable healthy diets, FAO, Rome, 320 pp., ISBN 978-92-5-132901-6, 2020.
Farquhar, G. D., Caemmerer, S., and Berry, J. A.: A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species, Planta, 149, 78–90, https://doi.org/10.1007/BF00386231, 1980.
Fatima, A., Singh, A. A., Mukherjee, A., Agrawal, M., and Agrawal, S. B.: Variability in defence mechanism operating in three wheat cultivars having different levels of sensitivity against elevated ozone, Environ. Exp. Bot., 155, 66–78, https://doi.org/10.1016/j.envexpbot.2018.06.015, 2018.
Fatima, A., Singh, A. A., Mukherjee, A., Agrawal, M., and Agrawal, S. B.: Ascorbic acid and thiols as potential biomarkers of ozone tolerance in tropical wheat cultivars, Ecotox. Environ. Safe., 171, 701–708, https://doi.org/10.1016/j.ecoenv.2019.01.030, 2019.
Feller, U. and Fischer, A.: Nitrogen metabolism in senescing leaves, Crit. Rev. Plant Sci., 13, 241–273, https://doi.org/10.1080/07352689409701916, 1994.
Feng, Z., Kobayashi, K., and Ainsworth, E. A.: Impact of elevated ozone concentration on growth, physiology, and yield of wheat (Triticum aestivum L.): A meta-analysis, Glob. Change Biol., 14, 2696–2708, https://doi.org/10.1111/j.1365-2486.2008.01673.x, 2008.
Fowler, D., Amann, M., Anderson, R., Ashmore, M., Cox, P., Depledge, M., Derwent, D., Grennfelt, P., Hewitt, N., Hov, O., Jenkin, M., Kelly, F., Liss, P., Pilling, M., Pyle, J., Slingo, J., and Stevenson, D.: Ground-level ozone in the 21st century: future trends, impacts and policy implications, The Royal Society, ISBN 978-0-85403-713-1, 134 pp., 2008.
Fu, T. M. and Tian, H.: Climate Change Penalty to Ozone Air Quality: Review of Current Understandings and Knowledge Gaps, Curr. Pollut. Reports, 5, 159–171, https://doi.org/10.1007/s40726-019-00115-6, 2019.
Gaju, O., Allard, V., Martre, P., Le Gouis, J., Moreau, D., Bogard, M., Hubbart, S., and Foulkes, M. J.: Nitrogen partitioning and remobilization in relation to leaf senescence, grain yield and grain nitrogen concentration in wheat cultivars, Field Crop. Res., 155, 213–223, https://doi.org/10.1016/j.fcr.2013.09.003, 2014.
Gelang, J., Pleijel, H., Sild, E., Danielsson, H., Younis, S., and Selldén, G.: Rate and duration of grain filling in relation to flag leaf senescence and grain yield in spring wheat (Triticum aestivum) exposed to different concentrations of ozone, Physiol. Plantarum, 110, 366–375, https://doi.org/10.1111/j.1399-3054.2000.1100311.x, 2000.
Guarin, J. R., Kassie, B., Mashaheet, A. M., Burkey, K., and Asseng, S.: Modeling the effects of tropospheric ozone on wheat growth and yield, Eur. J. Agron., 105, 13–23, https://doi.org/10.1016/j.eja.2019.02.004, 2019.
Guo, J., Qu, L., Hu, Y., Lu, W., and Lu, D.: Proteomics reveals the effects of drought stress on the kernel development and starch formation of waxy maize, BMC Plant Biol., 21, 1–14, https://doi.org/10.1186/s12870-021-03214-z, 2021.
Havé, M., Marmagne, A., Chardon, F., and Masclaux-Daubresse, C.: Nitrogen remobilization during leaf senescence: Lessons from Arabidopsis to crops, J. Exp. Bot., 68, 2513–2529, https://doi.org/10.1093/jxb/erw365, 2017.
Herman, J. and Usher, W.: SALib Documentation, https://doi.org/10.21105/joss.00097, 2019.
Kamal, N. M., Gorafi, Y. S. A., Abdelrahman, M., Abdellatef, E., and Tsujimoto, H.: Stay-green trait: A prospective approach for yield potential, and drought and heat stress adaptation in globally important cereals, Int. J. Mol. Sci., 20, 5837, https://doi.org/10.3390/ijms20235837, 2019.
Kang, J., Chu, Y., Ma, G., Zhang, Y., Zhang, X., Wang, M., Lu, H., Wang, L., Kang, G., Ma, D., Xie, Y., and Wang, C.: Physiological mechanisms underlying reduced photosynthesis in wheat leaves grown in the field under conditions of nitrogen and water deficiency, Crop J., 11, 638–650, https://doi.org/10.1016/j.cj.2022.06.010, 2023.
Khanna-Chopra, R.: Leaf senescence and abiotic stresses share reactive oxygen species-mediated chloroplast degradation, Protoplasma, 249, 469–481, https://doi.org/10.1007/s00709-011-0308-z, 2012.
Lawlor, D. W.: Carbon and nitrogen assimilation in relation to yield: Mechanisms are the key to understanding production systems, J. Exp. Bot., 53, 773–787, https://doi.org/10.1093/jxb/53.370.773, 2002.
Liu, J., Feng, H., He, J., Chen, H., and Ding, D.: The effects of nitrogen and water stresses on the nitrogen-to-protein conversion factor of winter wheat, Agr. Water Manage., 210, 217–223, https://doi.org/10.1016/j.agwat.2018.07.042, 2018.
Liu, J., Feng, H., He, J., Chen, H., Ding, D., Luo, X., and Dong, Q.: Modeling wheat nutritional quality with a modified CERES-wheat model, Eur. J. Agron., 109, 125901, https://doi.org/10.1016/j.eja.2019.03.005, 2019.
Liu, Y., Zhang, P., Li, M., Chang, L., Cheng, H., Chai, S., and Yang, D.: Dynamic responses of accumulation and remobilization of water soluble carbohydrates in wheat stem to drought stress, Plant Physiol. Bioch., 155, 262–270, https://doi.org/10.1016/j.plaphy.2020.07.024, 2020.
Mariotti, F., Tomé, D., and Mirand, P. P.: Converting nitrogen into protein – Beyond 6.25 and Jones' factors, Crit. Rev. Food Sci., 48, 177–184, https://doi.org/10.1080/10408390701279749, 2008.
Martre, P., Jamieson, P. D., Semenov, M. A., Zyskowski, R. F., Porter, J. R., and Triboi, E.: Modelling protein content and composition in relation to crop nitrogen dynamics for wheat, Eur. J. Agron., 25, 138–154, https://doi.org/10.1016/j.eja.2006.04.007, 2006.
Mills, G., Pleijel, H., Braun, S., Büker, P., Bermejo, V., Calvo, E., Danielsson, H., Emberson, L., Fernández, I. G., Grünhage, L., Harmens, H., Hayes, F., Karlsson, P. E., and Simpson, D.: New stomatal flux-based critical levels for ozone effects on vegetation, Atmos. Environ., 45, 5064–5068, https://doi.org/10.1016/j.atmosenv.2011.06.009, 2011.
Mills, G., Pleijel, H., Malley, C. S., Sinha, B., Cooper, O. R., Schultz, M. G., Neufeld, H. S., Simpson, D., Sharps, K., Feng, Z., Gerosa, G., Harmens, H., Kobayashi, K., Saxena, P., Paoletti, E., Sinha, V., and Xu, X.: Tropospheric Ozone Assessment Report: Present-day ozone distribution and trends relevant to human health, Elem. Sci. Anthr., 6, 47, https://doi.org/10.1525/elementa.302, 2018a.
Mills, G., Sharps, K., Simpson, D., Pleijel, H., Broberg, M., Uddling, J., Jaramillo, F., Davies, W. J., Dentener, F., Van den Berg, M., Agrawal, M., Agrawal, S. B., Ainsworth, E. A., Büker, P., Emberson, L., Feng, Z., Harmens, H., Hayes, F., Kobayashi, K., Paoletti, E., and Van Dingenen, R.: Ozone pollution will compromise efforts to increase global wheat production, Glob. Change Biol., 24, 3560–3574, https://doi.org/10.1111/gcb.14157, 2018b.
Mills, G., Sharps, K., Simpson, D., Pleijel, H., Frei, M., Burkey, K., Emberson, L., Uddling, J., Broberg, M., Feng, Z., Kobayashi, K., and Agrawal, M.: Closing the global ozone yield gap: Quantification and cobenefits for multistress tolerance, Glob. Change Biol., 24, 4869–4893, https://doi.org/10.1111/gcb.14381, 2018c.
Mishra, A. K., Rai, R., and Agrawal, S. B.: Individual and interactive effects of elevated carbon dioxide and ozone on tropical wheat (Triticum aestivum L.) cultivars with special emphasis on ROS generation and activation of antioxidant defence system, Indian J. Biochem. Bio., 50, 139–149, 2013.
Nagarajan, S., Rane, J., Maheswari, M., and Gambhir, N.: Effect of Post-Anthesis Water Stress on Accumulation of Dry Matter, Carbon and Nitrogen and Their Partitioning in Wheat Varieties Differing in Drought Tolerance, J. Agron. Crop Sci., 183, 129–136, https://doi.org/10.1046/j.1439-037x.1999.00326.x, 1999.
Nehe, A. S., Misra, S., Murchie, E. H., Chinnathambi, K., Singh Tyagi, B., and Foulkes, M. J.: Nitrogen partitioning and remobilization in relation to leaf senescence, grain yield and protein concentration in Indian wheat cultivars, Field Crop. Res., 251, 107778, https://doi.org/10.1016/j.fcr.2020.107778, 2020.
Nguyen, T. H., Cappelli, G. A., Emberson, L., Ignacio, G. F., Irimescu, A., Francesco, S., Fabrizio, G., Booth, N., Boldeanu, G., Bermejo, V., Bland, S., Frei, M., Ewert, F., and Gaiser, T.: Assessing the spatio-temporal tropospheric ozone and drought impacts on leaf growth and grain yield of wheat across Europe through crop modeling and remote sensing data, Eur. J. Agron., 153, 127052, https://doi.org/10.1016/j.eja.2023.127052, 2024.
Osborne, S., Pandey, D., Mills, G., Hayes, F., Harmens, H., Gillies, D., Büker, P., and Emberson, L.: New insights into leaf physiological responses to ozone for use in crop modelling, Plants, 8, 84, https://doi.org/10.3390/plants8040084, 2019.
Osborne, T., Gornall, J., Hooker, J., Williams, K., Wiltshire, A., Betts, R., and Wheeler, T.: JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator, Geosci. Model Dev., 8, 1139–1155, https://doi.org/10.5194/gmd-8-1139-2015, 2015.
Pande, P., Bland, S., Booth, N., Cook, J., Feng, Z., and Emberson, L.: Developing the DO3SE-crop model for Xiaoji, China, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-694, 2024a.
Pande, P., Hayes, F., Bland, S., Booth, N., Pleijel, H., and Emberson, L. D.: Ozone dose-response relationships for wheat can be derived using photosynthetic-based stomatal conductance models, Agr. Forest Meteorol., 356, 110150, https://doi.org/10.1016/j.agrformet.2024.110150, 2024b.
Pandey, A. K., Ghosh, A., Agrawal, M., and Agrawal, S. B.: Effect of elevated ozone and varying levels of soil nitrogen in two wheat (Triticum aestivum L.) cultivars: Growth, gas-exchange, antioxidant status, grain yield and quality, Ecotox. Environ. Safe., 158, 59–68, https://doi.org/10.1016/j.ecoenv.2018.04.014, 2018.
Panozzo, J. F. and Eagles, H. A.: Rate and duration of grain filling and grain nitrogen accumulation of wheat cultivars grown in different environments, Aust. J. Agr. Res., 50, 1007–1015, https://doi.org/10.1071/AR98146, 1999.
Paoletti, E. and Grulke, N. E.: Ozone exposure and stomatal sluggishness in different plant physiognomic classes, Environ. Pollut., 158, 2664–2671, https://doi.org/10.1016/j.envpol.2010.04.024, 2010.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E.: Scikit-learn: Machine Learning in Python Fabian, J. Mach. Learn. Res., 12, 2825–2830, https://doi.org/10.48550/arXiv.1201.0490, 2011.
Piikki, K., De Temmerman, L., Ojanperä, K., Danielsson, H., and Pleijel, H.: The grain quality of spring wheat (Triticum aestivum L.) in relation to elevated ozone uptake and carbon dioxide exposure, Eur. J. Agron., 28, 245–254, https://doi.org/10.1016/j.eja.2007.07.004, 2008.
Pilbeam, D. J.: The Utilization of Nitrogen by Plants: A Whole Plant Perspective, Wiley, New York, 305–351, https://doi.org/10.1002/9781444328608.ch13, 2010.
Rai, R. and Agrawal, M.: Impact of tropospheric ozone on crop plants, P. Natl. A. Sci. India B, 82, 241–257, https://doi.org/10.1007/s40011-012-0032-2, 2012.
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantola, S.: Global Sensitivity Analysis: The Primer, John Wiley & Sons Ltd, Chichester, https://doi.org/10.1111/j.1751-5823.2008.00062_17.x, 2008.
Sanchez-Bragado, R., Serret, M. D., and Araus, J. L.: The nitrogen contribution of different plant parts to wheat grains: Exploring genotype, water, and nitrogen effects, Front. Plant Sci., 7, 1–14, https://doi.org/10.3389/fpls.2016.01986, 2017.
Sarkar, A., Rakwal, R., Agrawal, S. B., Shibato, J., Ogawa, Y., Yoshida, Y., Kumar Agrawal, G., and Agrawal, M.: Investigating the impact of elevated levels of ozone on tropical wheat using integrated phenotypical, physiological, biochemical, and proteomics approaches, J. Proteome Res., 9, 4565–4584, https://doi.org/10.1021/pr1002824, 2010.
scikit-learn developers: sklearn.metrics.r2_score; scikit-learn 1.3.2 documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html, last access: 17 April 2024.
Shiferaw, B., Smale, M., Braun, H. J., Duveiller, E., Reynolds, M., and Muricho, G.: Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security, Food Secur., 5, 291–317, https://doi.org/10.1007/s12571-013-0263-y, 2013.
Silvestro, P. C., Pignatti, S., Yang, H., Yang, G., Pascucci, S., Castaldi, F., and Casa, R.: Sensitivity analysis of the Aquacrop and SAFYE crop models for the assessment of water limited winter wheat yield in regional scale applications, PLoS One, 12, 1–30, https://doi.org/10.1371/journal.pone.0187485, 2017.
Soltani, A. and Sinclair, T. R.: Modeling physiology of crop development, growth and yield, edited by: Soltani, A. and Sinclair, T. R., CAB International, 336 pp., https://doi.org/10.1079/9781845939700.0001, 2012.
Sultana, N., Islam, S., Juhasz, A., and Ma, W.: Wheat leaf senescence and its regulatory gene network, Crop J., 9, 703–717, https://doi.org/10.1016/j.cj.2021.01.004, 2021.
Szopa, S., Naik, V., Adhikary, B., Artaxo, P., Berntsen, T., Collins, W. D., Fuzzi, S., Gallardo, L., Kiendler-Scharr, A., Klimont, Z., Liao, H., Unger, N., and Zanis, P.: Short-lived Climate Forcers, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, USA, 817–922, https://doi.org/10.1017/9781009157896.008, 2021.
Tkachuk, R.: Nitrogen-to-protein conversion factors for cereals and oilseed meals, Cereal Chem., 46, 419–424, 1969.
Triboi, E. and Triboi-Blondel, A. M.: Productivity and grain or seed composition: A new approach to an old problem – Invited paper, Eur. J. Agron., 16, 163–186, https://doi.org/10.1016/S1161-0301(01)00146-0, 2002.
van Keulen, H. and Seligman, N. H.: Simulation of water use, nitrogen nutrition and growth of a spring wheat crop, Pudoc, Wageningen, https://doi.org/10.1017/S0021859600081582, 1987.
Vazquez-Cruz, M. A., Guzman-Cruz, R., Lopez-Cruz, I. L., Cornejo-Perez, O., Torres-Pacheco, I., and Guevara-Gonzalez, R. G.: Global sensitivity analysis by means of EFAST and Sobol' methods and calibration of reduced state-variable TOMGRO model using genetic algorithms, Comput. Electron. Agr., 100, 1–12, https://doi.org/10.1016/j.compag.2013.10.006, 2014.
Wang, E. and Engel, T.: Simulation of growth, water and nitrogen uptake of a wheat crop using the SPASS model, Environ. Modell. Softw., 17, 387–402, https://doi.org/10.1016/S1364-8152(02)00006-3, 2002.
Wang, Y. and Frei, M.: Stressed food – The impact of abiotic environmental stresses on crop quality, Agr. Ecosyst. Environ., 141, 271–286, https://doi.org/10.1016/j.agee.2011.03.017, 2011.
Xu, B., Wang, T., Gao, L., Ma, D., Song, R., Zhao, J., Yang, X., Li, S., Zhuang, B., Li, M., and Xie, M.: Impacts of meteorological factors and ozone variation on crop yields in China concerning carbon neutrality objectives in 2060, Environ. Pollut., 317, 120715, https://doi.org/10.1016/j.envpol.2022.120715, 2023.
Yadav, A., Bhatia, A., Yadav, S., Kumar, V., and Singh, B.: The effects of elevated CO2 and elevated O3 exposure on plant growth, yield and quality of grains of two wheat cultivars grown in north India, Heliyon, 5, e02317, https://doi.org/10.1016/j.heliyon.2019.e02317, 2019.
Yadav, D. S., Rai, R., Mishra, A. K., Chaudhary, N., Mukherjee, A., Agrawal, S. B., and Agrawal, M.: ROS production and its detoxification in early and late sown cultivars of wheat under future O3 concentration, Sci. Total Environ., 659, 200–210, https://doi.org/10.1016/j.scitotenv.2018.12.352, 2019.
Yadav, D. S., Mishra, A. K., Rai, R., Chaudhary, N., Mukherjee, A., Agrawal, S. B., and Agrawal, M.: Responses of an old and a modern Indian wheat cultivar to future O3 level: Physiological, yield and grain quality parameters, Environ. Pollut., 259, 113939, https://doi.org/10.1016/j.envpol.2020.113939, 2020.
Zanis, P., Akritidis, D., Turnock, S., Naik, V., Szopa, S., Georgoulias, A. K., Bauer, S. E., Deushi, M., Horowitz, L. W., Keeble, J., Le Sager, P., O'Connor, F. M., Oshima, N., Tsigaridis, K., and Van Noije, T.: Climate change penalty and benefit on surface ozone: A global perspective based on CMIP6 earth system models, Environ. Res. Lett., 17, 024014, https://doi.org/10.1088/1748-9326/ac4a34, 2022.
Zhang, J., Chen, W., Dell, B., Vergauwen, R., Zhang, X., Mayer, J. E., and Van den Ende, W.: Wheat genotypic variation in dynamic fluxes of WSC components in different stem segments under drought during grain filling, Front. Plant Sci., 6, 1–11, https://doi.org/10.3389/fpls.2015.00624, 2015.
Zhao, D., Derkx, A. P., Liu, D. C., Buchner, P., and Hawkesford, M. J.: Overexpression of a NAC transcription factor delays leaf senescence and increases grain nitrogen concentration in wheat, Plant Biol., 17, 904–913, https://doi.org/10.1111/plb.12296, 2015.
Short summary
At ground level, the air pollutant ozone (O3) damages wheat yield and quality. We modified the DO3SE-Crop model to simulate O3 effects on wheat quality and identified onset of leaf death as the key process affecting wheat quality upon O3 exposure. This aligns with expectations, as the onset of leaf death aids nutrient transfer from leaves to grains. Breeders should prioritize wheat varieties resistant to protein loss from delayed leaf death, to maintain yield and quality under O3 exposure.
At ground level, the air pollutant ozone (O3) damages wheat yield and quality. We modified the...
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