Effect of Temperature on Sowing Dates of Wheat under Arid and Semi-Arid Climatic Regions and Impact Quantification of Climate Change through Mechanistic Modeling with Evidence from Field

被引:16
作者
Hussain, Jamshad [1 ,2 ]
Khaliq, Tasneem [1 ]
Rahman, Muhammad Habib Ur [3 ,4 ]
Ullah, Asmat [5 ]
Ahmed, Ishfaq [6 ]
Srivastava, Amit Kumar [3 ]
Gaiser, Thomas [3 ]
Ahmad, Ashfaq [6 ,7 ]
机构
[1] Univ Agr Faisalabad, Dept Agron, Faisalabad 38000, Pakistan
[2] Adapt Res Farm, Karor 31100, Pakistan
[3] Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Crop Sci, D-53115 Bonn, Germany
[4] MNS Univ Agr, Dept Agron, Multan 60000, Pakistan
[5] Ayub Agr Res Inst AARI, Directorate Agron, Faisalabad 38000, Pakistan
[6] Asian Disaster Preparedness Ctr ADPC, Islamabad 44000, Pakistan
[7] Univ Agr Faisalabad, US Pakistan Ctr Adv Studies Agr & Food Secur, Faisalabad 38000, Pakistan
关键词
climatic conditions; heat stress; morphology; high temperature; CERES-wheat; climate change; food security; WINTER-WHEAT; CROPPING SYSTEM; CERES-WHEAT; HEAT-STRESS; MANAGEMENT; YIELD; PERFORMANCE; PROJECTIONS; UNCERTAINTY; IRRIGATION;
D O I
10.3390/atmos12070927
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rising temperature from climate change is the most threatening factor worldwide for crop production. Sustainable wheat production is a challenge due to climate change and variability, which is ultimately a serious threat to food security in Pakistan. A series of field experiments were conducted during seasons 2013-2014 and 2014-2015 in the semi-arid (Faisalabad) and arid (Layyah) regions of Punjab-Pakistan. Three spring wheat genotypes were evaluated under eleven sowing dates from 16 October to 16 March, with an interval of 14-16 days in the two regions. Data for the model calibration and evaluation were collected from field experiments following the standard procedures and protocols. The grain yield under future climate scenarios was simulated by using a well-calibrated CERES-wheat model included in DSSAT v4.7. Future (2051-2100) and baseline (1980-2015) climatic data were simulated using 29 global circulation models (GCMs) under representative concentration pathway (RCP) 8.5. These GCMs were distributed among five quadrants of climatic conditions (Hot/Wet, Hot/Dry, Cool/Dry, Cool/Wet, and Middle) by a stretched distribution approach based on temperature and rainfall change. A maximum of ten GCMs predicted the chances of Middle climatic conditions during the second half of the century (2051-2100). The average temperature during the wheat season in a semi-arid region and arid region would increase by 3.52 degrees C and 3.84 degrees C, respectively, under Middle climatic conditions using the RCP 8.5 scenario during the second half-century. The simulated grain yield was reduced by 23.5% in the semi-arid region and 35.45% in the arid region under Middle climatic conditions (scenario). Mean seasonal temperature (MST) of sowing dates ranged from 16 to 27.3 degrees C, while the mean temperature from the heading to maturity (MTHM) stage was varying between 12.9 to 30.4 degrees C. Coefficients of determination (R-2) between wheat morphology parameters and temperature were highly significant, with a range of 0.84-0.96. Impacts of temperature on wheat sown on 15 March were found to be as severe as to exterminate the crop before heading. The spikes and spikelets were not formed under a mean seasonal temperature higher than 25.5 degrees C. In a nutshell, elevated temperature (3-4 degrees C) till the end-century can reduce grain yield by about 30% in semi-arid and arid regions of Pakistan. These findings are crucial for growers and especially for policymakers to decide on sustainable wheat production for food security in the region.
引用
收藏
页数:16
相关论文
共 47 条
[1]  
Acevedo E., 2002, Seed biology
[2]  
Ahmad A., HDB CLIMATE CHANGE A, P219
[3]  
Ahmad I, 2019, CLIMATE CHANGE AGR, P1, DOI [10.5772/intechopen.82697, DOI 10.5772/INTECHOPEN.82697]
[4]   Climate warming and management impact on the change of phenology of the rice-wheat cropping system in Punjab, Pakistan [J].
Ahmad, Shakeel ;
Abbas, Ghulam ;
Ahmed, Mukhtar ;
Fatima, Zartash ;
Anjum, Muhammad Akbar ;
Rasul, Ghulam ;
Khan, Muhammad Azam ;
Hoogenboom, Gerrit .
FIELD CROPS RESEARCH, 2019, 230 :46-61
[5]   Assessing the impact of climate variability on maize using simulation modeling under semi-arid environment of Punjab, Pakistan [J].
Ahmed, Ishfaq ;
Rahman, Muhammad Habib Ur ;
Ahmed, Shakeel ;
Hussain, Jamshad ;
Ullah, Asmat ;
Judge, Jasmeet .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (28) :28413-28430
[6]   Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity [J].
Ahmed, Mukhtar ;
Stockle, Claudio O. ;
Nelson, Roger ;
Higgins, Stewart ;
Ahmad, Shakeel ;
Raza, Muhammad Ali .
SCIENTIFIC REPORTS, 2019, 9 (1)
[7]  
Ahmed M, 2019, PAK J BOT, V51, P535, DOI [10.30848/PJB2019-2(10), 10.30848/pjb2019-2(10)]
[8]   Response of Spring Wheat (Triticum aestivum L.) Quality Traits and Yield to Sowing Date [J].
Ahmed, Mukhtar ;
Fayyaz-ul-Hassan .
PLOS ONE, 2015, 10 (04)
[9]  
Ahmed M, 2012, INT J AGRIC BIOL, V14, P407
[10]  
Andarzian B., 2015, Journal of the Saudi Society of Agricultural Sciences, V14, P189, DOI 10.1016/j.jssas.2014.04.004