Abstract
Leaf gas exchange plays a critical role in determining crop final yield, and there is a threshold response of leaf gas exchange to water stress. It is of great significance to quantify crop water stress severity by using the response characteristics of leaf gas exchange to drought. However, it is currently unclear whether leaf gas exchange serve as a reliable indicator for predicting crop final yield in response to drought, which affects the accuracy of monitoring agricultural drought using physiological indicators during the crop growing season. This study determined the response threshold of leaf gas exchange to drought for spring wheat through a serials of soil dry-down experiments and used the threshold characteristics to construct and parameterize a spring wheat growth model. Spring wheat were designed to be irrigated with five treatments (with supplementary irrigation at 230 mm, 165 mm, 115 mm, 50 mm and 0 mm). Crop model were used to simulate and analyze the threshold response characteristics of grain yield to drought and compare them to the thresholds of leaf gas exchange indices for spring wheat. The results showed that the response threshold of stomatal conductance of spring wheat to fraction of transpirable soil water was 0.5, which was greater than that of transpiration rate and net photosynthetic rate, 0.4. The parameterized spring wheat growth model with the response threshold of net photosynthetic rate to fraction of transpirable soil water accurately simulated the aboveground biomass and final yield of spring wheat. The response threshold of spring wheat final yield to fraction of transpirable soil water was significantly smaller than that of leaf gas exchange parameters to fraction of transpirable soil water (0.18 versus 0.4). This indicates that there are certain problems in using physiological indicator such as leaf gas exchange indices during crop growing season to determine the agricultural drought severity and reflect the reduction of final crop yields due to drought.
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Data Availability
The leaf gas exchange experiments data and spring wheat growth model driving and calibration data supporting this study’s findings are available upon request from the corresponding author.
References
Amir, J., & Sinclair, T. R. (1991). A model of water limitation on spring wheat growth and yield. Field Crops Research, 28, 59–69. https://doi.org/10.1016/0378-4290(91)90074-6.
Bellvert, J., Marsal, J., Girona, J., Gonzalez-Dugo, V., Fereres, E., Ustin, S. L., & Zarco-Tejada, P. J. (2016). Airborne Thermal imagery to detect the Seasonal evolution of Crop Water Status in Peach, Nectarine and Saturn Peach orchards. Remote Sensing, 8, 39. https://doi.org/10.3390/rs8010039.
Casadebaig, P., Debaeke, P., & Lecoeur, J. (2008). Thresholds for leaf expansion and transpiration response to soil water deficit in a range of sunflower genotypes. European Journal of Agronomy, 28, 646–654. https://doi.org/10.1016/j.eja.2008.02.001.
Correndo, A. A., Rosso, L. H. M., Hernandez, C. H., Bastos, L. M., Nieto, L., Holzworth, D., & Ciampitti, I. A. (2022). Metrica: An R package to evaluate prediction performance of regression and classification point-forecast models. The Journal of Open Source Software, 7, 4655. https://doi.org/10.21105/joss.04655.
Erdem, Y., Arin, L., Erdem, T., Polat, S., Deveci, M., Okursoy, H., & Gültaş, H. T. (2010). Crop water stress index for assessing irrigation scheduling of drip irrigated broccoli (Brassica oleracea L. Var. Italica). Agricultural Water Management, 98, 148–156. https://doi.org/10.1016/j.agwat.2010.08.013.
Farooq, M., Wahid, A., Kobayashi, N. S. M. A., Fujita, D. B. S. M. A., & Basra, S. M. A. (2009). Plant drought stress: Effects, mechanisms and management. Agronomy Sustainable Development, 29, 185–212. https://doi.org/10.1051/agro:2008021.
Farré, I., & Faci, J. M. (2009). Deficit irrigation in maize for reducing agricultural water use in a Mediterranean environment. Agricultural Water Management, 96, 383–394. https://doi.org/10.1016/j.agwat.2008.07.002.
Flexas, J., Bota, J., Escalona, J. M., Sampol, B., & Medrano, H. (2002). Effects of drought on photosynthesis in grapevines under field conditions: An evaluation of stomatal and mesophyll limitations. Function Plant Biology, 29, 461–471. https://doi.org/10.1071/PP01119.
Gu, S., Liao, Q., Gao, S., Kang, S., Du, T., & Ding, R. (2021). Crop water stress index as a Proxy of Phenotyping Maize Performance under Combined Water and Salt stress. Remote Sensing, 13, 4710. https://doi.org/10.3390/rs13224710.
Irmak, S., Haman, D. Z., & Bastug, R. (2000). Determination of crop water stress index for irrigation timing and yield estimation of Corn. Agronomy Journal, 92, 1221–1227. https://doi.org/10.2134/agronj2000.9261221x.
Jackson, R. D. (1982). Canopy temperature and crop water stress. In D. Hillel (Ed.), Advances in Irrigation (Vol. 1, pp. 43–85). Elsevier.
Jin, Z., Zhuang, Q., Tan, Z., Dukes, J. S., Zheng, B., & Melillo, J. M. (2016). Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches. Glob Chang Biol, 22, 3112–3126. https://doi.org/10.1111/gcb.13376.
Katimbo, A., Rudnick, D. R., DeJonge, K. C., Lo, T. H., Qiao, X., Franz, T. E., Nakabuye, H. N., & Duan, J. (2022). Crop water stress index computation approaches and their sensitivity to soil water dynamics. Agricultural Water Management, 266, 107575. https://doi.org/10.1016/j.agwat.2022.107575.
Kirkham, M. B. (2005). Water and Yield. In M. B. Kirkham (Ed.), Principles of Soil and Plant Water relations (pp. 469–484). Academic Press.
Kumar, V., & Panu, U. (2007). Predictive Assessment of Severity of Agricultural droughts based on agro-climatic factors. Journal of the American Water Resources Association, 33, 1255–1264. https://doi.org/10.1111/j.1752-1688.1997.tb03550.x.
Lecoeur, J. E. R. E. M. I. E., & Sinclair, T. R. (1996). Field pea transpiration and leaf growth in response to soil water deficits. Cropscience, 36(2), 331–335. https://doi.org/10.2135/cropsci1996.0011183X003600020020x.
Lv, P., Rademacher, T., Huang, X., Zhang, B., & Zhang, X. (2022). Prolonged drought duration, not intensity, reduces growth recovery and prevents compensatory growth of oak trees. Agricultural and Forest Meteorology, 326, 109183. https://doi.org/10.1016/j.agrformet.2022.109183.
Medrano, H., Escalona, J. M., Bota, J., Gulías, J., & Flexas, J. (2002). Regulation of photosynthesis of C3 plants in response to progressive drought: Stomatal conductance as a reference parameter. Annals of Botany, 89, 895–905. https://doi.org/10.1093/aob/mcf079.
Panu, U. S., & Sharma, T. C. (2002). Challenges in drought research: Some perspectives and future directions. Hydrological Sciences Journal, 47, S19–S30. https://doi.org/10.1080/02626660209493019.
Sadok, W., Schoppach, R., Ghanem, M. E., Zucca, C., & Sinclair, T. R. (2019). Wheat drought-tolerance to enhance food security in Tunisia, birthplace of the Arab Spring. European Journal of Agronomy, 107, 1–9. https://doi.org/10.1016/j.eja.2019.03.009.
Sadras, V. O., & Milroy, S. P. (1996). Soil-water thresholds for the responses of leaf expansion and gas exchange: A review. Field Crops Research, 47, 253–266. https://doi.org/10.1016/0378-4290(96)00014-7.
Santini, M., Noce, S., Antonelli, M., & Caporaso, L. (2022). Complex drought patterns robustly explain global yield loss for major crops. Scientific Report, 12, 5792. https://doi.org/10.1038/s41598-022-09611-0.
Saseendran, S. A., Ahuja, L. R., Ma, L., Timlin, D., Stöckle, C. O., Boote, K. J., & Hoogenboom, G. (2008). Current water deficit stress simulations in selected Agricultural System models. Response of crops to Limited Water (pp. 1–38). John Wiley & Sons.
Soltani, A., & Sinclair, T. R. (2012). Modeling physiology of crop development, growth and yield. Modeling Physiology of Crop Development, Growth and Yield. 1–322.
Soltani, A., Maddah, V., & Sinclair, T. (2013). SSM-Wheat: A simulation model for wheat development, growth and yield. International Journal of Plant Production, 7, 711–740. https://doi.org/10.1002/jpln.201200433.
Wu, J., Serbin, S. P., Ely, K. S., Wolfe, B. T., Dickman, L. T., Grossiord, C., Michaletz, S. T., Collins, A. D., Detto, M., McDowell, N. G., Wright, S. J., & Rogers, A. (2020). The response of stomatal conductance to seasonal drought in tropical forests. Global Change Biology, 26, 823–839. https://doi.org/10.1111/gcb.14820.
Yu, Q., Li, L., Luo, Q., Eamus, D., Xu, S., Chen, C., Wang, E., Liu, J., & Nielsen, D. C. (2014). Year patterns of climate impact on wheat yields. International Journal of Climatology, 34, 518–528. https://doi.org/10.1002/joc.3704.
Zhang, Q., Han, L., Zeng, J., Wang, X., & Lin, J. (2020). Climate factors during key periods affect the comprehensive crop losses due to drought in Southern China. Climate Dynamic, 55, 2313–2325. https://doi.org/10.1007/s00382-020-05379-z.
Zhang, K., Zhang, B., & Zhao, F. (2022). Quantifying Agricultural Drought Severity for Spring Wheat based on response of Leaf photosynthetic features to Progressive Soil Drying. Atmosphere, 13, 531. https://doi.org/10.3390/atmos13040531.
Zhang, Y., Wu, Z., Singh, V. P., Lin, Q., Ning, S., Zhou, Y., Jin, J., Zhou, R., & Ma, Q. (2023). Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts. Agricultural Water Management, 282, 108266. https://doi.org/10.1016/j.agwat.2023.108266.
Zhao, F., & Wang, R. (2014). Discrimination of drought occurrence for rainfed spring wheat in semi-arid area based on pattern recognition. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 30, 124–132. https://doi.org/10.3969/j.issn.1002-6819.2014.24.015.
Zhao, F., Zhang, H., Chen, J., Wang, R., Gao, B., & Gao, Y. (2013). Analysis of monitoring short-term drought of farmland in red soil. Chinese Journal of Soil Science, 44, 1–7. https://doi.org/10.19336/j.cnki.trtb.2013.02.009.
Zhao, F., Zhou, S., Wang, R., Zhang, K., Wang, H., & Yu, Q. (2020). Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions. Journal of Integrative Agriculture, 19, 2188–2205. https://doi.org/10.1016/S2095-3119(19)62796-6.
Zhao, F., Zhang, Q., Zhou, G., Wang, R., Chen, F., Qi, Y., Zhang, K., & Wang, H. (2023). The response characteristics and thresholds of spring wheat to flash drought. Acta Ecologica Sinica, 43, 5581–5591. https://doi.org/10.5846/stxb202108262390.
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This work was jointly supported by National Natural Science Foundation of China (42005097, 42230611, 42175192) and Postdoctoral Research Fund Project (BSH2022001).
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ZQ and WH designed the experiments. ZF, ZQ, and LJ wrote the manuscript. WH, ZK, and QY calibrated the spring wheat growth model and analyzed the data. ZF and QY carried out the experiments. ZK and LJ prepared the experimental materials. All authors read and approved the final manuscript.
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Zhao, F., Zhang, Q., Liu, J. et al. Can Leaf Gas Exchange Serve as a Reliable Indicator for Predicting Spring Wheat Yield in Response to Drought?. Int. J. Plant Prod. 18, 109–120 (2024). https://doi.org/10.1007/s42106-023-00276-x
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DOI: https://doi.org/10.1007/s42106-023-00276-x