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Adjusting sowing date and cultivar shift improve maize adaption to climate change in China

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Abstract

This study investigates the impact of climate change on spring and summer maize (Zea mays) yield and evaluates several adaptation measures to overcome the negative impact of climate change on maize production in China. The results showed that the grain-filling duration of maize would be shortened 6–15 days in the future as a result of climate change. Thus, potential maize yield would decrease by 2–32%, and rainfed maize yield would decrease by 0–24% during 2010–2099 relative to 1976–2005. In response to climate change, adaptive measures should be taken to overcome its projected impact. The adoption of new cultivars while maintaining the same pre-flowering and post-flowering duration in the future as in the present would help to improve potential maize yield by 50–61% in three time slices (2030s, 2050s, and 2070s) and would be a better choice for high yields in the future. The cultivars that would maintain the same post-flowering duration in the future as in the present would be a better choice than the cultivars that would maintain the pre-flowing periods for summer maize in China. Adjusting sowing dates would be another important way to extend post-flowering periods and further improve maize yield. If the maize cultivar currently used was adopted, delaying the sowing date would improve the potential maize yield by 2–25%. If future maize cultivars that maintained the growing period even as warmer temperatures accelerate phenological development were adopted, delaying the sowing date would improve the potential maize yield by 0–8.9%. The interactive effect of sowing and cultivars was quantified. Based on the findings of this study, future maize cultivars maintaining the growing period were adopted, and delaying the sowing date could still improve potential maize yield worldwide. Two regional adaptation strategies to climate change could offset the potential reduction of maize production worldwide, which would provide farmers and policy-makers with explicit guidance.

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References

  • Batjes NH (2006) ISRIC-WISE derived soil properties on a 5 by 5 arc-minutes global grid. International Soil Reference and Information Centre (ISRIC), The Netherlands

    Google Scholar 

  • Butler EE, Huybers P (2012) Adaptation of US maize to temperature variations. Nat Clim Chang 3(1):68–72

    Article  Google Scholar 

  • Chen Q, Geng T, Hou W, Chen C (2014) Impacts of climate warming on growth and yield of spring maize in recent 20 years in Northeast China. Sci Agric Sin 47(10):1904–1916

    Google Scholar 

  • Huang S, Lv L, Zhu J, Li Y, Tao H, Wang P (2018) Extending growing period is limited to offsetting negative effects of climate changes on maize yield in the North China plain. Field Crop Res 215:66–73

    Article  Google Scholar 

  • Jagtap SS, Jones JW (2002) Adaptation and evaluation of the CROPGRO-soybean model to predict regional yield and production. Agric Ecosyst Environ 93(1–3):73–85

    Article  Google Scholar 

  • Jones CA, Kinir JR (eds) (1986) CERES-Maize: a simulation model of maize growth and development. Texas A&M University Press, College Station

    Google Scholar 

  • Jones PG, Thornton PK (2013) Generating downscaled weather data from a suite of climate models for agricultural modelling applications. Agric Syst 114:1–5

    Article  Google Scholar 

  • Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT (2003) DSSAT cropping system model. Eur J Agron 18(3–4):235–265

    Article  Google Scholar 

  • Jones PG, Thornton PK, Heinke J (2009) Generating characteristic daily weather data using downscaled climate model data from the IPCC’s Fourth Assessment Report, CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS); Waen Associates; International Livestock Research Institute (ILRI); Potsdam Institute for Climate Impact Research (PIK)

  • Kassie BT, Asseng S, Rotter RP, Hengsdijk H, Ruane AC, Ittersum MKV (2015) Exploring climate change impacts and adaptation options for maize production in the central rift valley of Ethiopia using different climate change scenarios and crop models. Clim Chang 129(1–2):145–158

    Article  Google Scholar 

  • Li J (2009) Production, breeding and process of maize in China. In: Handbook of maize: its biology, pp 563–576

    Chapter  Google Scholar 

  • Lin Y, Wu W, Ge Q (2014) CERES-Maize model-based simulation of climate change impacts on maize yields and potential adaptive measures in Heilongjiang Province, China. J Sci Food Agric 95(14):2838–2849

    Article  Google Scholar 

  • Liu Y, Wang E, Yang X, Wang J (2010) Contributions of climatic and crop varietal changes to crop production in the north china plain, since 1980s. Glob Chang Biol 16(8):2287–2299

  • Lv Z, Liu X, Cao W, Zhu Y (2013a) Climate change impacts on regional winter wheat production in main wheat production regions of China. Agric For Meteorol 171–172(3):234–248

    Article  Google Scholar 

  • Lv S, Yang X, Zhao J (2013b) Effects of climate change and variety alternative on potential yield of spring maize in Northeast China. Trans CSAE 29(18):179–190

    Google Scholar 

  • Lv Z, Liu X, Tang L, Liu L, Cao W, Zhu Y (2016) Estimation of ecotype-specific cultivar parameters in a wheat phenology model and uncertainty analysis. Agric For Meteorol 22:219–229

    Article  Google Scholar 

  • Lv Z, Liu X, Cao W, Zhu Y (2017) A model-based estimate of regional wheat yield gaps and water use efficiency in main winter wheat production regions of China. Sci Rep 7(1):6081

    Article  Google Scholar 

  • Mu J, Zhao J, Guo J (2014) Response of spring maize growth stage to climate change in Northeast China over the past 30 years. Journ App Meteorol Sci 25(6):680–689

    Google Scholar 

  • Ramirez J, Jarvis A (2008) High resolution statistically downscaled future climate surfaces. International Center for Tropical Agriculture (CIAT), International Center for Tropical Agriculture (CIAT); CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Cali, Colombia

  • Ruane AC, Rosenzweig C, Asseng S, Boote KJ, Elliott J, Ewert F, Jones JW, Martre P, McDermid SP, Müller C, Snyder A, Thorburn PJ (2017) An AgMIP framework for improved agricultural representation in IAMs. Environ Res Lett 12:125003

    Article  Google Scholar 

  • Saxton KE, Rawls WJ (2006) Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci Soc Am J 70(5):1569–1578

  • Shi XZ, Yu DS, Warner ED, Pan XZ, Petersen GW, Gong ZG, Weindorf DC (2004) Soil database of 1:1,000,000 digital soil survey and reference system of the Chinese genetic soil classification system. Soil Surv Horizons 45(4):129–136

    Article  Google Scholar 

  • Shi CX, Xie ZH, Hui Q, Liang ML, Yang XC (2011) China land soil moisture enkf data assimilation based on satellite remote sensing data. Sci China Earth Sci 54(9):1430–1440

    Article  Google Scholar 

  • Tachie-Obeng E, Gyasi E, Adiku S, Abekoe M, Zierrogel G (2010) Farmers’ adaptation measures in scenarios of climate change for maize production in semi-arid zones of Ghana, 2nd international conference: climate sustainability and development in semi-arid regions, pp 16–20

  • Tao F, Zhang Z (2010) Adaptation of maize production to climate change in North China Plain: quantify the relative contributions of adaptation options. Eur J Agron 33:103–116

    Article  Google Scholar 

  • Tao F, Yokozawa M, Zhang Z (2009a) Modelling the impacts of weather and climate variability on crop productivity over a large area: a new process-based model development, optimization, and uncertainties analysis. Agric For Meteorol 149(5):831–850

    Article  Google Scholar 

  • Tao F, Zhang Z, Liu J, Yokozawa M (2009b) Modelling the impacts of weather and climate variability on crop productivity over a large area: a new superensemble-based probabilistic projection. Agric For Meteorol 149:1266–1278

    Article  Google Scholar 

  • Tao F, Zhang S, Zhang Z, Rötter RP (2015) Maize growing duration was prolonged across china in the past three decades under the combined effects of temperature, agronomic management, and cultivar shift. Glob Chang Biol 20(12):3686–3699

  • Tao F, Zhang Z, Zhang S, Rötter RP, Shi W, Xiao D, Liu Y, Wang M, Liu F, Zhang H (2016) Historical data provide new insights into response and adaptation of maize production systems to climate change/variability in China. Field Crop Res 185(185):1–11

    Article  Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498

    Article  Google Scholar 

  • Tesfayea K, Gideon K, Cairns JE (2018) Potential benefits of drought and heat tolerance for adapting maize to climate change in tropical environments. Clim Risk Manag 19:106–119

    Article  Google Scholar 

  • Wang M, Li Y, Ye W, Bornman JF, Yan X (2011) Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin Province, China. Clim Res 46:223–242

    Article  Google Scholar 

  • Wang Y, Zhang Z, Yang Y, Wang M, Zhao J (2012) Growth period and yield of early-maturing spring maize in Northeast China from 2002-2009. Sci Agric Sin 45(24):4959–4966

    Google Scholar 

  • Wang J, Wang E, Yin H et al (2014) Declining yield potential and shrinking yield gaps of maize in the North China Plain. Agric For Meteorol 195–196(2):89–101

    Article  Google Scholar 

  • Van Vuuren DP, Riahi K (2011) The relationship between short-term emissions and long-term concentration targets—a letter. Clim Change 104(3–4):793–801

  • Xiong W, Lin E (2009) Performance of CERES-Maize in Regional Application. Chin J Agrometeorol 30(01):3–7

  • Xiong W, Holman I, Conway D, Lin E, Li Y (2008) A crop model cross calibration for use in regional climate impacts studies. Ecol Model 213:365–380

    Article  Google Scholar 

  • Zhang T, Huang Y (2013) Estimating the impacts of warming trends on wheat and maize in China from 1980 to 2008 based on county level data. Int J Climatol 33:699–708

    Article  Google Scholar 

  • Zhao J, Yang X, Dai S, Lv S, Wang J (2015) Increased utilization of lengthening growing season and warming temperatures by adjusting sowing dates and cultivar selection for spring maize in Northeast China. Eur J Agron 67:12–19

    Article  Google Scholar 

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Funding

This research was supported by the National Natural Science Foundation of China (31701322).

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Correspondence to Zunfu Lv.

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Lv, Z., Li, F. & Lu, G. Adjusting sowing date and cultivar shift improve maize adaption to climate change in China. Mitig Adapt Strateg Glob Change 25, 87–106 (2020). https://doi.org/10.1007/s11027-019-09861-w

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  • DOI: https://doi.org/10.1007/s11027-019-09861-w

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