Effects of climate change on growth criteria and yield of sunflower and chickpea crops in Iran

Koocheki, A.; Nassiri, Mehdi; Soltani, Afshin; Sharifi, Hussain; Ghorbani, Reza

doi:10.3354/cr030247

Cited by 23 publications

(15 citation statements)

References 22 publications

(20 reference statements)

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“…Altenbach et al (2003), reported that in case of spring wheat time to physiological maturity, was reduced proportionately to temperature, by between 1.1 and 1.6 days for every 1°C rise in average daily temperature. Simulation study conducted on chickpea crop showed that number of days to maturity for rainfed chickpea reduced due to climate change (Koecheki et al 2006). …”

Section: Resultsmentioning

confidence: 99%

Growth and yield response of wheat and chickpea crops under high temperature

Chakrabarti

Singh

Kumar

et al. 2013

Ind J Plant Physiol.

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Increasing temperature is likely to affect productivity of wheat and chickpea crop. A field experiment was conducted for two consecutive years with wheat and chickpea crop raised inside the temperature gradient tunnel (TGT). Results showed that high temperature reduced crop growth duration in both the crops. Days to 50 % flowering reduced by 4-5 days in wheat with 1.8-2.9°C increase in temperature. Photosynthesis rate, stomatal conductance and leaf area index reduced with the rise in temperature. High temperature inside the TGT caused reduction in both biomass and grain yield of wheat crop in both the years and the reductions in yield per degree temperature rise was 10.4-10.5 % in wheat crop. Number of spikes per plant, number of grains per spike, 1,000 seed weight was also affected with increased temperature. In case of chickpea crop, yield declined with the increase in temperature during the [2008][2009] year and the decline per degree temperature rise was 6.8 %. During the year 2007-2008, 1.7°C increase in temperature showed improvement in biomass and grain yield in chickpea. Low air temperature during the crop growth period in 2007-2008 could be responsible for increased growth of chickpea under high temperature. This suggests that rise in temperature in future climatic change scenario will adversely affect wheat and chickpea crop but the response will be crop and region specific depending upon the existing climate conditions.

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Section: Resultsmentioning

confidence: 99%

Growth and yield response of wheat and chickpea crops under high temperature

Chakrabarti

Singh

Kumar

et al. 2013

Ind J Plant Physiol.

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“…The corn variety used in this biannual - TOC; Total organic carbon, 3) TIC; Total inorganic carbon, 4) TN; Total nitrogen, 5) PC; Pig compost Table 2. Soil Carbon Fractions and Total Nitrogen Contents of Input Materials Fig.…”

Section: Methodsmentioning

confidence: 99%

“…, assuming a carbon trading mechanism exists for bio-char application in the agricultural practices. EC; Electrical conductivity, 2) TC; Total carbon, 3) TN; Total nitrogen . Therefore, this experiment was conducted to estimate the carbon sequestration and its profit analysis, especially for total carbon in soil cooperated with pig compost and different ratios of biochar during corn cultivation periods.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous researchers and organizations have been involved in mitigating the greenhouse gases from various sources 1),2), 3) . Since many countries recognized the importance of greenhouse gases (GHG), including methane (CH 4 ), carbon dioxide (CO 2 ), and nitrous oxide (N2O), the estimation of GHG emission was conducted for a comprehensive understanding of the effect of GHG in each country in terms of global warming and the significant mitigation potential 3), 4) .…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Carbon Sequestration and Its Profit Analysis with Different Application Rates of Biochar during Corn Cultivation Periods

Shin¹,

Choi²,

Lee³

2016

Journal of the Korea Organic Resource Recycling Association

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Despite the ability of biochar to enhance soil fertility and to mitigate greenhouse gas, its carbon sequestration and profit analysis with arable land application have been a few evaluated. This study was conducted to estimate carbon sequestration and to evaluate profit of greenhouse gas mitigation during corn cultivation periods. For the experiment, the biochar application rates were consisted of pig compost(non application), 2,600(0.2%), 13,000(1%), and 26,000(2%) kg/ha based on pig compost application. ). Based on this equation, soil carbon sequestration by 0.2, 1 and 2% biochar application was estimated to be 1,235, 3,978, and 14,794 kg/ha, and their mitigations of CO2-eq. emissions were estimated to be 4.5, 14.6, and 54.2 ton/ha, respectively. Their profits were estimated at $14.6 for lowest and $452 for highest. In Korea Climate Exchange, it was estimated that the market price of CO2 in corn cultivation periods with 0.2, 1 and 2% biochar application was $35.6, $115.3 and $428.2 per hectare, respectively. For the plant growth response, it was observed that plant height and fresh ear yield were not significantly different among the treatments. Therefore, these experimental results might be fundamental data for assuming a carbon trading mechanism exists for biochar soil application in agricultural practices.

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“…precipitation) and LSAVs (e.g. sea level pressure), LSAVs have been used as predictors in multiple regressions to forecast hydroclimates (Hamlet et al 2002, McCabe & Dettinger 2002, Singhrattna et al 2005a, Koocheki et al 2006, Mo riondo & Bindi 2006. Moreover, with an assumption that general circulation models (GCMs) simulate atmospheric variables in the upper air level, e.g.…”

Section: Methodsmentioning

confidence: 99%

Changes in summer monsoon rainfall in the Upper Chao Phraya River Basin, Thailand

Singhrattna¹,

Babel²

2011

Clim. Res.

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We determined the effects of climate change on pre-monsoon (May-June-July: MJJ) and monsoon (August-September-October: ASO) season rainfall in the Upper Chao Phraya River Basin, Thailand, by downscaling surface rainfall from large-scale atmospheric variables, i.e. surface air temperature (SAT), sea level pressure (SLP), and zonal and meridional wind (u and v, respectively). The data were obtained from the Geophysical Fluid Dynamics Laboratory (GFDL) model and used as predictors in a modified k-nearest neighbor (k-nn) model. Under climate change scenarios A2 and B2, during 2011-2100, the increasing trends of annual SAT over northern Thailand and the South China Sea vary from 1.65 to 3.47°C century -1. By the end of the 21st century, the annual SAT anomalies range from + 2 to +10°C. The increasing trends of annual SLP over the Gulf of Thailand and northern Thailand range from 0.40 to 0.83 mb century -1. Depending upon the regions and scenarios, increasing and decreasing trends of annual u and v were observed. From the modified k-nn model, the effects of climate change on MJJ and ASO rainfall indicate decreasing trends during 2011-2100 with a maximum decrease by 6.16 mm yr -1 , corresponding to the ASO rainfall under Scenario B2. In terms of effects on the frequency of extreme events, dry (wet) conditions during 2011-2100 showed a greater (lesser) chance of occurrence than the climatology, with the exception of ASO rainfall under the Scenario A2, which showed a greater chance of being both dry and wet. With a probability > 70%, dry MJJ and ASO conditions will be observed more often than wet, especially the dry ASO under Scenario B2, which was predicted for the 55 yr from 2046 -2100. KEY WORDS: Climate change · Thailand rainfall · Upper Chao Phraya River Basin · Ping River BasinResale or republication not permitted without written consent of the publisher Clim Res 49: 155-168, 2011 terms of intensity and frequency of extreme events. Increasing greenhouse gas concentrations, in particular CO 2 , greatly influence global warming (Mitchell 1989, Maslin 2007, NIC 2009, NASA 2010. Consequently, climate change is expected to occur due to increasing global surface temperatures (UNEP 2003, Trenberth 2008. Since rainfall in Thailand shows significant links to large-scale atmospheric variables (LSAVs), e.g. temperature and pressure (Chen & Yoon 2000, Singhrattna et al. 2005b, the changing climate affects rainfall via atmospheric-oceanic circulations. The objective of this study was to determine the effects of climate change on summer monsoon season rainfall in the Upper Chao Phraya River Basin (Thailand). Rainfall simulation by a stochastic statistical model is a tool for long-term planning in water resources and an adaptation strategy to deal with future climate change. METHODSBased on the significant relationships between local hydroclimates (e.g. precipitation) and LSAVs (e.g. sea level pressure), LSAVs have been used as predictors in multiple regressions to forecast hydroclimates (Hamlet et al. 2002, McCa...

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Effects of climate change on growth criteria and yield of sunflower and chickpea crops in Iran

Cited by 23 publications

References 22 publications

Growth and yield response of wheat and chickpea crops under high temperature

Growth and yield response of wheat and chickpea crops under high temperature

Estimation of Carbon Sequestration and Its Profit Analysis with Different Application Rates of Biochar during Corn Cultivation Periods

Changes in summer monsoon rainfall in the Upper Chao Phraya River Basin, Thailand

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