Abstract
Heat stress in combination with drought has become the biggest concern and threat for maize yield production, especially in arid and hot regions. Accordingly, different optimal solutions should be considered in order to maintain maize production and reduce the risk of heat stress under the changing climate. In the current study, the risk of heat stress across Iranian maize agro-ecosystems was analyzed in terms of both intensity and frequency. The study areas comprised 16 provinces and 24 locations classified into five climate categories: arid and hot, arid and temperate, semi-arid and hot, semi-arid and temperate, and semi-arid and cold. The impact of heat stress on maize under a future climate was based on a 5‐multi‐model ensemble under two optimistic and pessimistic emission scenarios (RCP4.5 and RCP8.5, respectively) for 2040–2070 using the APSIM crop model. Simulation results illustrated that in the period of 2040–2070, intensity and the frequency of heat stress events increased by 2.37 °C and 79.7%, respectively, during maize flowering time compared to the baseline. The risk of heat stress would be almost 100% in hot regions in the future climate under current management practices, mostly because of the increasing high-risk window for heat stress which will result in a yield reduction of 0.83 t ha−1. However, under optimal management practices,farmers will economically obtain acceptable yields (6.6 t ha−1). The results also indicated that the high-risk windows in the future will be lengthening from 12 to 33 days in different climate types. Rising temperatures in cold regions as a result of global warming would provide better climate situations for maize growth, so that under optimistic emission scenarios and optimal management practices, farmers will be able to boost grain yield up to 9.2 t ha−1. Overall, it is concluded that farmers in hot and temperate regions need to be persuaded to choose optimal sowing dates and new maize cultivars which are well adapted to each climate to reduce heat stress risk and to shift maize production to cold regions.
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References
AgMIP (2013) Guide for Running AgMIP Climate Scenario Generation Tools with R in Windows Version 2.3. http://www.agmip.org/wp-content/uploads/2013/10/Guide-for-Running-AgMIP-Climate-Scenario-Generation-with-R-v2.3.pdf
Archontoulis SV, Miguez FE, Moore KJ (2014) Evaluating APSIM maize, soil water, soil nitrogen, manure, and soil temperature modules in the Midwestern United States. Agron J 106:1025–1040. https://doi.org/10.2134/agronj2013.0421
Asseng S, Martre P, Maiorano A, Rötter RP, O’leary GJ, Fitzgerald GJ, Girousse C, Motzo R, Giunta F, Babar MA, Reynolds MP (2019) Climate change impact and adaptation for wheat protein. Global Chang Biol 25(1):155–173. https://doi.org/10.1111/gcb.14481
Chukwudi UP, Kutu FR, Mavengahama S (2021) Heat stress effect on the grain yield of three drought-tolerant maize varieties under varying growth conditions. Plants 10(8):1532. https://doi.org/10.3390/plants10081532
Deryng D, Sacks W, Barford C, Ramankutty N (2011) Simulating the effects of climate and agricultural management practices on global crop yield. Global Biogeochem Cy 25(2):1–18. https://doi.org/10.1029/2009GB003765
Dupuis I, Dumas C (1990) Influence of temperature stress on in vitro fertilization and heat shock protein synthesis in maize (Zea mays L.) reproductive tissues. Plant Physiol 94(2):665–670. https://doi.org/10.1104/pp.94.2.665
ESRI A (2012) ArcGIS 10.1. Environmental Systems Research Institute, Redlands, CA
FAO U (2014) FAOstat. Retrieved Feb, 2014. http://www.fao.org/faostat/en/#data/QC
Gourdji SM, Sibley AM, Lobell DB (2013) Global crop exposure to critical high temperatures in the reproductive period: historical trends and future projections. Environ Res Lett 8(2):024041. https://doi.org/10.1088/1748-9326/8/2/024041
Hoegh-Guldberg O, Jacob D, Taylor M, Bindi M, Brown S, Camilloni I, Diedhiou A, Djalante R, Ebi KL, Engelbrecht F, Guiot J, Hijioka Y, Mehrotra S, Payne A, Seneviratne SI, Thomas A, Warren R, Zhou G (2018) Impacts of 1.5 °C Global Warming on Natural and Human Systems. In: Masson-Delmotte V, Zhai P, Pörtner HO, Roberts D, Skea J, Shukla PR, Pirani A, Moufouma-Okia W, Péan C, Pidcock R, Connors S, Matthews JBR, Chen Y, Zhou X, Gomis MI, Lonnoy E, Maycock T, Tignor M, Waterfield T (eds) Global Warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. (in press)
Holzworth DP, Huth NI, Zurcher EJ, Herrmann NI, McLean G, Chenu K, van Oosterom EJ, Snow V, Murphy C, Moore AD, Brown H (2014) APSIM–evolution towards a new generation of agricultural systems simulation. Environ Model Softw 62:327–350. https://doi.org/10.1016/j.envsoft.2014.07.009
Jin Z, Zhuang Q, Wang J, Archontoulis SV, Zobel Z, Kotamarthi VR (2017) The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2. Glob Change Biol 23(7):2687–2704. https://doi.org/10.1111/gcb.13617
Karki R, Talchabhadel R, Aalto J, Baidya SK (2016) New climatic classification of Nepal. Theor Appl Climatol 125(3–4):799–808. https://doi.org/10.1007/s00704-015-1549-0
Kottek M, Grieser J, Beck C, Rudolf B, Rubel F (2006) World map of the Köppen-Geiger climate classification updated. Meteorol Z 15(3):259–263. https://doi.org/10.1127/0941-2948/2006/0130
Li E, Zhao J, Pullens JW, Yang X (2022) The compound effects of drought and high temperature stresses will be the main constraints on maize yield in Northeast China. Sci Total Environ 812:152461. https://doi.org/10.1016/j.scitotenv.2021.152461
Liu Z, Hubbard KG, Lin X, Yang X (2013) Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in Northeast China. Global Change Biol 19(11):3481–3492. https://doi.org/10.1111/gcb.12324
Liu X, Wang X, Wang X, Gao J, Luo N, Meng Q, Wang P (2020) Dissecting the critical stage in the response of maize kernel set to individual and combined drought and heat stress around flowering. Environ Exp Bot 179:104213. https://doi.org/10.1016/j.envexpbot.2020.104213
Lobell DB, Bänziger M, Magorokosho C, Vivek B (2011) Nonlinear heat effects on African maize as evidenced by historical yield trials. Nat Clim Chang 1:42–45. https://doi.org/10.1038/nclimate1043
Lobell DB, Hammer GL, Chenu K, Zheng B, McLean G, Chapman SC (2015) The shifting influence of drought and heat stress for crops in northeast Australia. Glob Change Biol 21(11):4115–4127. https://doi.org/10.1111/gcb.13022
Meng Q, Hou P, Lobell DB, Wang H, Cui Z, Zhang F, Chen X (2014) The benefits of recent warming for maize production in high latitude China. Clim Change 122(1–2):341–349. https://doi.org/10.1007/s10584-013-1009-8
Mueller B, Hauser M, Iles C, Rimi RH, Zwiers FW, Wan H (2015) Lengthening of the growing season in wheat and maize producing regions. Weather Clim Extrem 9:47–56. https://doi.org/10.1016/j.wace.2015.04.001
Nouri M, Homaee M, Bannayan M, Hoogenboom G (2016) Towards modeling soil texture-specific sensitivity of wheat yield and water balance to climatic changes. Agr Water Manage 177:248–263. https://doi.org/10.1016/j.agwat.2016.07.025
Ordónez RA, Savin R, Cossani CM, Slafer GA (2015) Yield response to heat stress as affected by nitrogen availability in maize. Field Crop Res 183:184–203. https://doi.org/10.1016/j.fcr.2017.09.019
Otegui ME, Bonhomme R (1998) Grain yield components in maize. Field Crops Res 56:247–256. https://doi.org/10.1016/S0378-4290(97)00093-2
Prasad R, Gunn SK, Rotz CA, Karsten H, Roth G, Buda A, Stoner AM (2018) Projected climate and agronomic implications for corn production in the Northeastern United States. PloS ONE 13(6):e0198623. https://doi.org/10.1371/journal.pone.0198623
R Core Team (2017) R: A Language and Environment for Statistical Computing. Online: R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.orgs.
Rahimi-Moghaddam S, Kambouzia J, Deihimfard R (2018) Adaptation strategies to lessen negative impact of climate change on grain maize under hot climatic conditions: A model-based assessment. Agric for Meteorol 253:1–14. https://doi.org/10.1016/j.agrformet.2018.01.032
Rahimi-Moghaddam S, Kambouzia J, Deihimfard R (2019) Optimal genotype × environment × management as a strategy to increase grain maize productivity and water use efficiency in water-limited environments and rising temperature. Ecol Indic 107:105570. https://doi.org/10.1016/j.ecolind.2019.105570
Rodríguez M, Canales E, Borrás-Hidalgo O (2005) Molecular aspects of abiotic stress in plants. Biotecnol Apl 22(1):1–10
Rowhani P, Lobell DB, Linderman M, Ramankutty N (2011) Climate variability and crop production in Tanzania. Agric for Meteorol 151:449–460. https://doi.org/10.1016/j.agrformet.2010.12.002
Ruane AC, Mcdermid SP (2017) Selection of a representative subset of global climate models that captures the profile of regional changes for integrated climate impacts assessment. Earth Perspect 4:1. https://doi.org/10.1186/s40322-017-0036-4
Ruane AC, Cecil LD, Horton RM, Gordón R, McCollum R, Brown D, Killough B, Goldberg R, Greeley AP, Rosenzweig C (2013) Climate change impact uncertainties for maize in Panama: Farm information, climate projections, and yield sensitivities. Agric for Meteorol 170:132–145. https://doi.org/10.1016/j.agrformet.2011.10.015
Saxton K, Rawls WJ, Romberger J, Papendick R (1986) Estimating generalized soil-water characteristics from texture. Soil Sci Soc Am J 50:1031–1036. https://doi.org/10.2136/sssaj1986.03615995005000040039xA
Seifert E (2014) OriginPro 9.1: scientific data analysis and graphing software—software review. J Chem Inf Model 54(5):1552–1552. https://doi.org/10.1021/ci500161d
Semenov MA, Stratonovitch P, Alghabari F, Gooding MJ (2014) Adapting wheat in Europe for climate change. J Cereal Sci 59(3):245–256. https://doi.org/10.1016/j.jcs.2014.01.006
Teixeira EI, Fischer G, van Velthuizen H, Walter C, Ewert F (2013) Global hot-spots of heat stress on agricultural crops due to climate change. Agric for Meteorol 170:206–215. https://doi.org/10.1016/j.agrformet.2011.09.002
Tesfaye K, Zaidi PH, Gbegbelegbe S, Boeber C, Getaneh F, Seetharam K, Erenstein O, Stirling C (2017) Climate change impacts and potential benefits of heat-tolerant maize in South Asia. Theor Appl Climatol 130(3–4):959–970. https://doi.org/10.1007/s00704-016-1931-6
Wei T, Zhang T, De Bruin K, Glomrød S, Shi Q (2017) Extreme weather impacts on maize yield: The case of Shanxi province in China. Sustainability 9(1):41. https://doi.org/10.3390/su9010041
Yang C, Fraga H, van Ieperen W, Trindade H, Santos JA (2019) Effects of climate change and adaptation options on winter wheat yield under rainfed Mediterranean conditions in southern Portugal. Clim Change 154(1–2):159–178. https://doi.org/10.1007/s10584-019-02419-4
Zhang Q, Han J, Yang X (2021) Effects of direct heat stress on summer maize and risk assessment. Theor Appl Climatol 146(1):755–765. https://doi.org/10.1007/s00704-021-03769-9
Zheng B, Chenu K, Fernanda Dreccer M, Chapman SC (2012) Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium) varieties? Glob Change Biol 18(9):2899–2914. https://doi.org/10.1111/j.1365-2486.2012.02724.x
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The project was funded by the Deputy of Research Affairs, Shahid Beheshti University, G.C. (Project No. /600/773).
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Deihimfard, R., Rahimi-Moghaddam, S., Azizi, K. et al. Increased heat stress risk for maize in arid-based climates as affected by climate change: threats and solutions. Int J Biometeorol 66, 1365–1378 (2022). https://doi.org/10.1007/s00484-022-02282-6
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DOI: https://doi.org/10.1007/s00484-022-02282-6