[en] Dealing with high temperatures during the anthesis stage is an important factor that can affect summer maize. Here, the possibility of heat stress injury (HSI) in the summer maize-grown fields of Golestan province was investigated. A multi-criteria weighted overlay procedure was used to determine the suitability of arable land for maize cultivation. Using the CERES-Maize model and long-term meteorological data, the map of the days with Tmax > 35 °C from three days before to seven days after anthesis was provided. The results showed that the irrigated corn fields in the study area have suitable degrees for corn cultivation and different conditions in the field of HSI experience around pollination. Although most of the fields were located in highly suitable areas, probable HSI (as described by PDT35) affected the final suitability. Also, more reliable sowing dates were introduced. The results revealed that on 18th of June, maize could be sown at all suitable areas except in some arable lands of Kalaleh where the PDT35 was more than 40%. The results showed that HSI should also be considered around the pollination stage to obtain reliable results from land suitability.
Disciplines :
Agriculture & agronomy
Author, co-author :
Kamkar, Behnam; Department of Agrotechnology, Ferdowsi University of Mashhad, Iran & Gorgan University of Agricultural Sciences and Natural Resources, Iran
Feyzbakhsh, Mohammad Taghi; Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran
Mokhtarpour, Hassan; Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran
Barbir, Jelena; Research and Transfer Centre “Sustainable Development & Climate Change Management” (FTZ-NK), Faculty of Life Sciences, Hamburg University of Applied Sciences, Hamburg, Germany
Grahić, Jasmin; Faculty of Agriculture and Food Sciences, University of Sarajevo, Bosnia and Herzegovina
Tabor, Sylwester; Department of Production Engineering, Logistics and Applied Computer Science, Faculty of Production and Power Engineering, Agricultural University Kraków, Kraków, Poland
Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic ; Faculty of Environmental Science and Engineering, Babeş-Bolyai University, Cluj-Napoca, Romania
Language :
English
Title :
Effect of heat stress during anthesis on the Summer Maize grain formation: Using integrated modelling and multi-criteria GIS-based method
GUASNR - Gorgan University of Agricultural Sciences and Natural Resources
Funding text :
This research was conducted as project No. 93-325-4 funded by the Gorgan University of Agricultural Sciences and Natural Resources . The authors wish to thank the vice president of Research and Technology, GUASNR, Gorgan, Iran , for financial support.
Adnan, A.A., Jibrin, M.J., Alpha, Y.K., Bassam, L.A., Abdulwahab, S.S., Ismail, I.G., CERES–maize model for determining the optimum planting dates of early maturing maize varieties in Northern Nigeria. Front. Plant Sci, 8, 2017, 1118.
Ali, A., Sikander Hayyat, M., Adnan, M, Safdar, M.E., Asif, M., Awais Bashir Khan, M., Arshad Javed, M., ur Rehman, F., Abdullah, M., mumtaz, Q., Ahmad, R., Effect of various planting dates on performance of different maize hybrids. AGBIR 36:5 (2020), 75–79.
Asfaw, M.D., Kassa, S.M., Lungu, E.M., Bewket, W., Effects of temperature and rainfall in plant–herbivore interactions at different altitude. Ecol. Modell. 406 (2019), 50–59.
Binder, J., Graeff, S., Link, J., Claupein, W., Liu, M., Dai, M., Wang, P., Model-based approach to quantify production potentials of summer maize and spring maize in the North China. Plain Agron. J. 100 (2008), 862–873.
Birch, C.J., Rickert, K.G., Hammer, G.L., Temperature and photoperiod sensitivity of development in five cultivars of maize (Zea mays L.) from emergence to tassel initiation. Field Crop Res. 55 (1998), 93–107.
Chakraborty, B., Bhowmick, A.R., Chattopadhyay, J., Bhattacharya, S., Physiological responses of fish under environmental stress and extension of growth (curve) models. Ecol. Modell. 363 (2017), 172–186.
Commuri, P.D., Jones, R.J., High temperatures during endosperm cell division in maize: a genotypic comparison under in vitro and field conditions. Crop Sci. 41 (2001), 1122–1130.
Corn Production Handbook., 2007. Kansas State University Agricultural Experiment Station and Cooperative Extension Service. September 2007.
De Storme, N., Geelen, D., The impact of environmental stress on male reproductive development in plants: biological processes and molecular mechanisms. Plant Cell Environ. 37 (2014), 1–18.
Dong, X., Guan, L., Zhang, P., Liu, X., Li, S., Fu, Z., et al. Responses of maize with different growth periods to heat stress around flowering and early grain filling. Agric. For. Meteorol., 303, 2021, 108378.
Dordel, J., Seely, B., Simard, S.W., Relationships between simulated water stress and mortality and growth rates in underplanted Toona ciliata Roem. in subtropical Argentinean plantations. Ecol. Modell. 222:17 (2011), 3226–3235.
Dupuis, L., Dumas, C., Influence of temperature stress on in vitro fertilization and heat shock protein synthesis in maize (Zea mays L.) reproductive systems. Plant Physiol. 94 (1990), 665–670.
Edalat, M., Kazemeini, S.A., Estimation of cardinal temperatures for seedling emergence in corn. Aust. J. Crop Sci. 7 (2014), 1072–1078.
Farooq, M., Hussain, M., Wakeel, A., Kadambot, H., Siddique, M., Salt stress in maize: effects, resistance mechanisms, and management. Rev. Agron. Sustain Dev. 35:2015 (2015), 461–481.
Feyzbakhsh, M.T., Mokhtarpour, H., Mosavat, S.A., Mohager, M., Shahee, G.A., Effects of sowing date and plant density on forage yield and some morphological characteristics of corn (SC.704). Elc J. Crop Prod. 3 (2011), 217–224.
Feyzbakhsh, M.T., Kamkar, B., Mokhtarpour, H., Asadi, M.E., Calibration and evaluation of the CERES-maize model in Gorgan climatic conditions. Elc. J. Plant Prod. 8:4 (2016), 25–49 DOI: 20.1001.1.2008739.1394.8.4.2.8.
Ganesh Prasad, M.S., Sushma, N., Spatial prediction of rainfall using universal kriging method: a case study of Mysuru District. Int. J. Eng. Res. Technol. (IJERT) Geospatial, 4(20), 2016.
Gundogdu, K.S., Guney, I., Spatial analyses of groundwater levels using universal kriging. J. Earth Syst. Sci. 116:1 (2007), 49–55.
Huang, R., Birch, C.J., George, D.L., Water use efficiency in maize production– the challenge and improvement strategies. 6th Triennial Conference Maize Association of Australia, 2006.
Huang, M., Wang, J., Wang, B., Liu, D., Yu, Q., He, D., Wang, N., Xuebiao Pan, X., Optimizing sowing window and cultivar choice can boost China's maize yield under 1.5 °C and 2 °C global warming. Environ. Res. Lett. 15:2 (2020), 24–115.
ICRISAT. Relative Humidity (RH) and Plant Growth [Online]. 2010, Available by Virtual Academy for Semi-Arid Tropics (VASAT) - ICRISAT http://vasatwiki.icrisat.org/index.php/Relative_humidity%28RH%29_and_plant_growth.
Jahromi, M.J., Boustani, F., Rezaee, A., Kamyabi, H., Mansouri, R., Mohamadi, M., R., The effect of salinity and moisture and their interaction on yield and yield components on maize (SC 704). The National Conference on Water Crisis Management, 2010, University of Marvdasht, Iran April 2008.
Jung, Y., Chun, Y., Griffith, D.A., Temperature and assault in an urban environment: an empirical study in the city of Seoul, South Korea. Appl Geo., 124, 2020, 102340.
Kamkar, B., Razavi, S.E., Sadeghipour, H., López-Bernal, Álvaro, Would it be possible to use nonpathogenic fungi to improve the turnover of crop residues?. J. Basic Microbiol., 2021, 1–15.
Li, Z., Yang, J.Y., Drury, C.F., Yang, X.M., Reynolds, W.D., Li, X., Hu, C., Evaluation of the DNDC model for simulating soil temperature, moisture and respiration from monoculture and rotational corn, soybean and winter wheat in Canada. Ecol. Modell. 360 (2017), 230–243.
Lizaso, J.I., Ruiz-Ramos, M., Rodríguez, L., Gabaldon-Leal, C., Oliveira, J.A., Lorite, I.J., Sánchez, D., García, E., Rodríguez, A., Impact of high temperatures in maize: Phenology and yield components. Field Crops Res. 216 (2018), 129–140.
Lobell, D.B., Bnziger, M., Magorokosho, C., Vivek, B., Nonlinear heat effects on African maize as evidenced by historical yield trials. Nat. Clim. Chang. 1 (2011), 42–45.
Luo, Q., Bange, M., Clancy, L., Cotton crop phenology in a new temperature regime. Ecol. Modell. 285 (2014), 22–29.
Moeinirad, A., Pirdashti, H., Mokhtarpoor, H., Effects of densities and sowing date on yield, yield components and phenology of corn SC-704 in Gorgan. Pazhoohesh Sazandegi 101 (2011), 14–22 (In Farsi with English abstract).
Mokarram, M., Rangzan, K., Moezzi, A., Baninemehc, B., Land Suitability Evaluation for Wheat Cultivation by Fuzzy Theory Approaches As Compared With Parametric Method, 38, 2010, International Society for Photogrammetry and Remote Sensing (ISPRS). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Hong Kong, 140–145.
Mokhtarpour, H., [Ph.D. thesis]., 2011, University Putra Malaysia Publications, Serdang.
Mokhtarpour, H., Mosavat, S.A., Feyzbakhsh, M.T., Saberi, A., Effects of sowing date and plant density on ear yield of sweet corn in summer sowing. Elc J. Crop Prod. 1 (2010), 101–113.
Monjardino, P., Smith, A., Jones, R., Heat stress effects on protein accumulation of maize endosperm. Crop Sci. 45 (2005), 1203–1210.
Nederhoff, E., Humidity in greenhouses, part 6: humidity and plants. Commer. Grow. 52 (1997), 29–30.
Niu, S., Du, X., Wei, D., Liu, S., Tang, Q., Bian, D., Zhang, Y., Cui, Y., Gao, Z., Heat stress after pollination reduces kernel number in maize by insufficient assimilates. Front. Genet., 12, 2021, 728166.
Noor, J.J., Vinayan, M.T., Umar, S., Devi, P., Iqbal, M., Seetharam, K., et al. Morpho-physiological traits associated with heat stress tolerance in tropical maize (Zea mays L.) at reproductive stage. Aust. J. Crop Sci. 13:04 (2019), 536–545.
Noormohammadi, A.H., Markham, P.F., Whithear, K.G., Walker, I.D., Gurevich, V.A., Ley, D.H., Browning, G.F., Mycoplasma synoviae has two distinct phase-variable major membrane antigens, one of which is a putative hemagglutinin. Infection and Immunity 65:7 (1997), 2542–2547.
Norwood, C.A., Currie, R.S., Tillage, planting date, and plant population effects on dryland corn. J. Prod. Agr. 9 (1996), 119–122.
Pacini, E., Harmomegathic characters of Pteridophyta spores and Spermatophyta pollen. Plant Syst. Evol.(5), 1990, 53–69.
Pourhadian, H., Kamkar, B., Soltani, A., Mokhtarpour, H., Evaluation of forage maize yield gap using an integrated crop simulation model-satellite imagery method (Case study: four watershed basins in Golestan Province). Arch. Agron. Soil Sci. 65:2 (2019), 253–268.
Rahimi-Moghaddam, S., Kambouzia, J., Deihimfard, R., Adaptation strategies to lessen negative impact of climate change on grain maize under hot climatic conditions: a model-based assessment. Agric. For. Meteorol. 253 (2018), 1–14.
Rugira, P., Ma, J., Zheng, L., Wu, C., Liu, E., Application of DSSAT CERES-maize to identify the optimum irrigation management and sowing dates on improving maize yield in Northern China. Agronomy, 11, 2021, 674.
Saaty, T., Alexander, J., Conflict Resolution: The Analytic Hierarchy Process. 1989, Praeger, New York, New York.
Sanchez, Berta., Rasmussen, A., Porter, J.R., Temperatures and the growth and development of maize and rice: a review. Global Change Biol. 20:2 (2014), 408–417.
Saseendran, S.A., Ma, L., Nielsen, D.C., Vigil, M.F., Ahuja, L.R., Simulating planting date effects on corn production using RZWQM and CERES-maize models. Agron J. 97 (2005), 58–71.
Schoper, J.B., Lambert, R.J., Vasilas, B.L., Pollen viability, pollen shedding, and combining ability for tassel heat tolerance in maize. Crop Sci. 27 (1987), 27–31.
Schoper, J.B., Lambert, R.J., Vasilas, B.L., Westgate, M.E., Plant factors controlling seed set in maize. Plant Physiol. 83 (1987), 121–125.
Shahivandi, M., Khaledi, S., Shakiba, A., Mirbagheri, B., The agroclimate zoning of grainy maize using GIS techniques in Lorestan province. J Appl. Res. Geo Sci. 29 (2013), 195–214.
Shiferaw, B., Prasanna, B.M., Hellin, J., Bänziger, M., Crops that feed the world: past successes and future challenges to the role played by maize in global food security. Food Secur. 3 (2011), 307–311.
Sindelar, A.J., Roozeboom, K.L., Gordon, W.B., Heer, W.F., Corn response to delayed planting in the central Great Plains. Agron J. 102 (2010), 530–536.
Sun, H., Zhang, X., Wang, E., Chen, S., Shao, L., Qin, W., Assessing the contribution of weather and management to the annual yield variation of summer maize using APSIM in the North China Plain. Field Crop Res., 194, 2016, S0378429016301526.
Taghizadeh-Mehrjardi, R., Nabiollahi, K., Rasoli, R., Kerry, R., Land Suitability Assessment Scholten, T. Agricultural production sustainability using machine learning models. Agronomy, 10(573), 2020.
Wang, X., Li, Y., Chen, X., Wang, H., Li, L., Yao, N., Sun, S., Projection of the climate change effects on soil water dynamics of summer maize grown in water repellent soils using APSIM and HYDRUS-1D models. Comput. Electron. Agric., 185, 2021, 106142.
Wang, H.Q., Liu, P., Zhang, J.W., Zhao, B., Ren, B.Z., Endogenous hormones inhibit differentiation of young ears in maize (Zea mays L.) under heat stress. Front. Plant Sci., 11, 2020, 533046.
Wang, Z., Ye, L., Jiang, J., Fan, Y., Zhang, X., Review of application of EPIC crop growth model. Ecol. Model., 467, 2022, 109952.
Watkins, L.E., Wright, M.K., Kurtz, L.C., Chakalian, P.M., Mallen, E.S., Harlan, S.L., Hondula, D.M., Extreme heat vulnerability in Phoenix, Arizona: a comparison of all-hazard and hazard-specific indices with household experiences. Appl. Geo, 131, 2021, 102430.
Wei, S., Liu, J., Li, T., Wang, X., Peng, A., Chen, C., Effect of high-temperature events when heading into the maturity period on summer maize (Zea mays L.) yield in the Huang-Huai-Hai Region, China. Atmosphere (Basel), 11(12), 2020, 1291.
Wilhelm, E.P., Keeling, R.E., Singletary, P.L., Heat stress during grain filling in maize: effects on kernel growth and metabolism. Crop Sci. 39 (1999), 1733–1741.
Wu, C., Cui, K., Hu, Q., Wang, W., Nie, L., Huang, J., Peng, S., Enclosed stigma contributes to higher spikelet fertility for rice (Oryza sativa L.) subjected to heat stress. Crop J. 7 (2019), 335–349.
Xiao, Y., Gu, Xiaomin., Yin, Shiyang., Shao, Jingli., Cui, Yali., Zhang, Qiulan., Niu, Y., Geostatistical Interpolation Model Selection Based on ArcGIS and Spatio-Temporal Variability Analysis of Groundwater Level in Piedmont Plains, Northwest China, 5, 2016, Springer Plus, 425.
Yun, K., Hsiao, J., Jung, M.P., Choi, I.T., Glenn, D.M., Shim, K.M., Kim, S.H., Can a multi-model ensemble improve phenology predictions for climate change studies?. Ecol. Modell. 362 (2017), 54–64.
Young, L.W., Wilen, R.W., Bonham-Smith, P.C., High temperature stress of Brassica napus during flowering reduces micro- and megagametophyte fertility, induces fruit abortion, and disrupts seed production. J. Exp. Bot. 55 (2004), 485–495.
Zhang, M., An, P., Li, H., Wang, X., Zhou, J., Dong, P., et al. The miRNA-mediated post-transcriptional regulation of maize in response to high temperature. Ijms, 20, 2019, 1754.
Zhang, H., Li, G., Fu, C., Duan, S., Hu, D., Guo, X., Genome-wide identification, transcriptome analysis and alternative splicing events of Hsf family genes in maize. Sci. Rep., 10, 2020, 8073.
Zhang, Y., Zhao, Y., Sun, Q., Increasing maize yields in Northeast China are more closely associated with changes in crop timing than with climate warming. Environ Res. Lett., 15(5), 2021, 054052 16.
Zhou, B., Yue, Y., Sun, X., Ding, Z., Ma, W., Zhao, M., Maize kernel weight responses to sowing date-associated variation in weather conditions. Crop J 5:1 (2017), 43–51.