<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJPS</journal-id><journal-title-group><journal-title>American Journal of Plant Sciences</journal-title></journal-title-group><issn pub-type="epub">2158-2742</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajps.2015.614237</article-id><article-id pub-id-type="publisher-id">AJPS-59654</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Influence of Rising Atmospheric CO2 Concentrations and Temperature on Morpho-Physiological Traits and Yield of Rice Genotypes in Sub Humid Climate of Eastern India
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>harad</surname><given-names>Kumar Dwivedi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Santosh</surname><given-names>Kumar</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ved</surname><given-names>Prakash</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Surajit</surname><given-names>Mondal</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Janki</surname><given-names>Sharan Mishra</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>ICAR Research Complex for Eastern Region, Patna, India</addr-line></aff><pub-date pub-type="epub"><day>04</day><month>09</month><year>2015</year></pub-date><volume>06</volume><issue>14</issue><fpage>2239</fpage><lpage>2249</lpage><history><date date-type="received"><day>25</day>	<month>June</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>13</month>	<year>September</year>	</date><date date-type="accepted"><day>16</day>	<month>September</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  A possible scenario for the end of the 21st century is that the atmospheric CO2 concentration will be in the range of 510 - 760 μl&#183;L
  <sup>-I</sup> and that the mean global temperature will be 1.5&#176;C - 4.5&#176;C higher than present day. One of the pre-eminent manifestations of climate change is the increase in atmospheric CO2 concentration. Both CO2 and temperature are the key variables of global climate and may cause significant changes in crop productivity. An experiment was conducted inside open top chamber (OTCs) in kharif season 2014 to evaluate the effects of CO2 enrichment and temperature rise with condition OTC1 (ambient condition), OTC2 (25% higher CO2 than ambient), OTC3 (25% higher CO2 + 2&amp;degC &gt; ambient temperature) and OTC4 (2&amp;degC &gt;ambient temperature) on physiological traits and yield of rice genotypes to identify the suitable genotypes for changing climatic conditions. The study revealed that rice genotypes performed better under elevated CO2, with slight changes in development, such as growth and in yield attributing traits, depending on the genotypes. However, the beneficial direct impact of elevated (CO2) on crop yield can be counteract by elevated temperatures. Rice genotype IR83376-B-B-24-2 was highly responsive while IR84895- B-127-CRA-5-1-1 was least responsive toward elevated CO2. Physiological traits like relative water content (RWC %), membrane stability index (MSI %), chlorophyll content, photosynthetic rate and TSS content were improved under elevated CO2. However, responses of these traits were negative with elevated temperature. We point out that studies related to changes in crop physiology and *Corresponding author. S. K. Dwivedi et al. 2340 yield as a consequence of global climatic changes should be a priority due to their association with food security.
 
</p></abstract><kwd-group><kwd>Climate Change</kwd><kwd> Physiological Traits</kwd><kwd> Rice Genotypes</kwd><kwd> Yield Attributes</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>One of the greatest manifestations of climate change is the increase in atmospheric CO<sub>2</sub> concentration. During the last twelve years, the rate of increase of CO<sub>2</sub> is 1.9 ppm yr<sup>−</sup><sup>1</sup> and is forecasted to be as high as 570 ppm by the middle and may reach 700 ppm or more by the end of this century [<xref ref-type="bibr" rid="scirp.59654-ref1">1</xref>] . Future climate change and associated impacts will vary from region to region around the globe. Projections suggest that the global temperature will increase by 1.8˚C - 4.0˚C, depending on the greenhouse emission scenario [<xref ref-type="bibr" rid="scirp.59654-ref1">1</xref>] . FAO and IPCC has estimated that cereals production in India would go down up to 125 mt. and an overall increase of 2.0˚C in temperature may cause almost 8% loss in farm level net revenue and around 5% in GDP [<xref ref-type="bibr" rid="scirp.59654-ref2">2</xref>] . The climate change impact on the productivity of rice in Punjab (India) has shown that keeping all other climatic variables remaining constant, temperature increases of 1˚C, 2˚C and 3˚C, would reduce the grain yield of rice by 5.4%, 7.4% and 25.1%, respectively [<xref ref-type="bibr" rid="scirp.59654-ref3">3</xref>] . More studies suggest a 2% to 5% decrease in yield potential of wheat and maize for a temperature rise of 0.5˚C to 1.5˚C in India [<xref ref-type="bibr" rid="scirp.59654-ref4">4</xref>] . Biomass and yield tend to decline with increasing temperature, as higher temperatures shorten crop duration, enhance respiration and reduce time for radiation interception [<xref ref-type="bibr" rid="scirp.59654-ref5">5</xref>] . Both CO<sub>2</sub> and temperature are the key variables of global climate and may cause significant changes in crop productivity. There is rising evidence suggesting that many C<sub>3</sub> crops, may respond positively to elevate atmospheric (CO<sub>2</sub>) in the absence of other stressful conditions [<xref ref-type="bibr" rid="scirp.59654-ref6">6</xref>] . but the beneficial direct impact of elevated (CO<sub>2</sub>) can be counteracted by other effects of climate change, such as elevated temperatures, higher troposphere ozone concentrations and altered patterns of precipitation [<xref ref-type="bibr" rid="scirp.59654-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.59654-ref8">8</xref>] . Studies on various plant species have suggested that climate changes will affect the development, growth and productivity of plants through alterations in their biochemical, physiological and morphogenetic processes [<xref ref-type="bibr" rid="scirp.59654-ref9">9</xref>] . The high yielding varieties of rice and wheat developed through modern technologies have contributed significantly in achieving good harvest [<xref ref-type="bibr" rid="scirp.59654-ref10">10</xref>] . Nevertheless, there is only limited information on dynamics of physiological parameters after the heading stage of rice under high air temperature and CO<sub>2</sub> [<xref ref-type="bibr" rid="scirp.59654-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.59654-ref22">22</xref>] , especially the lack of researches on dynamics of physiological parameters after the heading stage. Therefore, there is a need to develop genotypes that are either tolerant to warming or to identify genotypes which perform better under predicted climate change scenarios. The aim of this study was to address the basic issues of to identify suitable rice and wheat genotypes and their physiological changes inside plant system under projected climate change using Open Top Chamber.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Field Experiment</title><p>This study was conducted in the experimental farm of ICAR Research Complex for Eastern Region, Patna located at 25˚35'37&quot;N latitude and 85˚05'E longitude and at an altitude of 51.8 m above mean sea level. The land area of open-top chambers (OTCs) had a level topography. The climate of the experimental site is semi-arid with dry hot summer and mild winters. The crop season of rice crop is from July to Oct. (kharif season). The soil at the experimental site belongs to the major group of Indo-Gangetic alluvium (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Soil characteristic of experimental site</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >Sand (%)</th><th align="center" valign="middle" >Silt (%)</th><th align="center" valign="middle" >Clay (%)</th><th align="center" valign="middle" >Organic carbon (%)</th><th align="center" valign="middle" >Soil pH</th><th align="center" valign="middle" >Bulk density (mg/m<sup>3</sup>)</th><th align="center" valign="middle" >Electrical conductivity (dSm<sup>−1</sup>)</th><th align="center" valign="middle" >Available nitrogen (kg/ha)</th><th align="center" valign="middle" >Available phosphorus (kg/ha)</th><th align="center" valign="middle" >Available potassium (kg/ha)</th></tr></thead><tr><td align="center" valign="middle" >2013-14</td><td align="center" valign="middle" >29.5</td><td align="center" valign="middle" >41.5</td><td align="center" valign="middle" >28.0</td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >7.3</td><td align="center" valign="middle" >1.45</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >237</td><td align="center" valign="middle" >27.0</td><td align="center" valign="middle" >203.2</td></tr></tbody></table></table-wrap></sec><sec id="s2_2"><title>2.2. Crop Management</title><p>Four rice genotypes (R. Bhagwati, IR64, IR83376-B-B-24-2 and IR84895-B-127-CRA-5-1-1) were evaluated inside open top chambers (OTCs) at ICAR-RCER, Patna, in Kharif season 2014 with an objective to assess the impact of elevated CO<sub>2</sub> and temperature (2˚C ˃ ambient) on morpho-physiological traits and yield. The treatment condition in each OTC was OTC1 (ambient condition), OTC2 (25% higher CO<sub>2 </sub>than ambient), OTC3 (25% higher CO<sub>2</sub> + 2˚C ˃ ambient temperature) and OTC4 (2˚C ˃ ambient temperature). Fields (inside the OTCs) were dry ploughed and leveled but not puddled during land preparation. Twenty one days (21 days) old seedlings from wet bed nursery were transplanted at the rate of 2 seedlings per hill at a spacing of 20 cm &#215; 15 cm in plots. In each plot a uniform plant stand was maintained and standard agronomic practices were followed for raising and maintenance of plants. Plots were fertilized at the rate of 90:60:40 kg N:P:K ha<sup>−1</sup>. Nitrogen was applied on three occasions (1/3each at sowing/transplanting as a basal, at 30 days and at 60 days after transplanting), while the P<sub>2</sub>O<sub>5</sub> and K<sub>2</sub>O were applied as a basal application. The experimental plots were kept weed free by hand weeding. Three replications were maintained for each genotype in each open top chamber. Replications were randomized within the OTCs. The plot size for each replication was 1 m<sup>2 </sup>and about 33<sup> </sup>plants per square meter were available. The observations were recorded on ten randomly selected plants per genotype per replication for all the traits, plant height (cm), as well as grain yield (t/ha).</p></sec><sec id="s2_3"><title>2.3. CO<sub>2</sub> Supply, Temperature Enrichment and Monitoring</title><p>All the OTCs were equipped with humidity, temperature and CO<sub>2</sub> sensors. Each open top chamber was divided into four equal quadrants with water proof brick partitioning. In each quadrant 3 replications were maintained. Pure CO<sub>2</sub> (99.7%, v/v CO<sub>2</sub> and less than 10 ppm CO) was released from a commercial grade cylinder fitted with a regulator. Carbon dioxide concentration of air within the elevated CO<sub>2</sub> chambers was maintained around the target concentration by a PC-based real-time data acquisition and control (DAC) system designed based on the principles described in [<xref ref-type="bibr" rid="scirp.59654-ref12">12</xref>] . The air sample from the middle of the chamber was drawn periodically into a CO<sub>2</sub> sensor (NDIR, make Topak, USA) to monitor CO<sub>2</sub> concentration. The set level of CO<sub>2</sub> was maintained with the help of solenoid valves which were controlled by Program Logic Control (PLC) and Supervisory Control and Data Acquisition (SCADA) system running Winlog software (Make SELCO, Italy).A data logger recorded the mean CO<sub>2</sub> within all chamber sat 15-min intervals. The CO<sub>2</sub> supply was switched on and temperature maintained only during the daylight hours (i.e. from 09:00 to 17:00 h). In the OTCs with elevated temperature, reference temperature was obtained from the control OTC and air temperature was increased 2˚C above ambient chamber by infra red (IR) heating tubes, and controlled by the SCADA system. The chambers were washed regularly with a gentle stream of water to remove the dust and to maintain transparency.</p></sec><sec id="s2_4"><title>2.4. Weather during Crop Season</title><p>Daily maximum and minimum temperatures, maximum and minimum relative humidity, daily rainfall were recorded from the meteorological observatory of the ICAR Research Complex, Patna. Mean daily maximum and minimum temperatures and relative humidity (RH) inside the OTC were recorded using data-logger (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s2_5"><title>2.5. Plant Sampling</title><p>Rice plants with uniform development process were tagged in each replication at heading stage in each plot. Tagged plants of three hills from each plot were sampled at anthesis stage, with flag leaves removed from plants for physiological parameter measurements as follows:</p></sec><sec id="s2_6"><title>2.6. Relative Water Content</title><p>Leaf relative water content (RWC %) was estimated by recording the fresh weight, turgid weight of 0.5 g fresh leaf samples by keeping in water for 4 h, followed by drying in hot air oven till constant weight was achieved [<xref ref-type="bibr" rid="scirp.59654-ref13">13</xref>] .</p><disp-formula id="scirp.59654-formula234"><graphic  xlink:href="http://html.scirp.org/file/13-2602174x6.png"  xlink:type="simple"/></disp-formula><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Average climatic condition of experimental site during Kharif season (July to October)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x7.png"/></fig></sec><sec id="s2_7"><title>2.7. Membrane Stability Index</title><p>Membrane stability index (MSI %) was estimated as per [<xref ref-type="bibr" rid="scirp.59654-ref14">14</xref>] . Leaf material (100 mg), in two sets, was taken in test tubes containing 10 ml of double distilled water. One set was heated at 40˚C for 30 min in a metabolic water bath, and the electrical conductivity of the solution was recorded by conductivity bridge (C<sub>1</sub>). Second set was boiled at 100˚C on a boiling water bath for 10 min, and its conductivity was measured by conductivity bridge (C<sub>2</sub>). Membrane stability index was calculated as:</p><disp-formula id="scirp.59654-formula235"><graphic  xlink:href="http://html.scirp.org/file/13-2602174x8.png"  xlink:type="simple"/></disp-formula></sec><sec id="s2_8"><title>2.8. Total Chlorophyll Estimation</title><p>Estimation of chlorophyll content in plants is based on the absorption of light by chlorophyll extracts prepared by incubating the leaf tissues in DMSO (Dimethyl sulfoxide). DMSO renders plasmalemma permeable thereby, causing the leaching of the pigments [<xref ref-type="bibr" rid="scirp.59654-ref15">15</xref>] . Absorbance was recorded at 663 and 645 nm using DMSO as blank and was expressed as mg∙g<sup>−1</sup> FW</p><p>Total chlorophyll = (20.2 &#215; OD<sub>645</sub> + 8.02 &#215; OD<sub>663</sub>) &#215; V/1000 &#215; w</p></sec><sec id="s2_9"><title>2.9. Net Photosynthetic Rate</title><p>Rate of photosynthesis was measured on leaves using portable Infrared Gas Analyzer (IRGA LI-6400 Model). The rate of photosynthesis was measured by operating the IRGA in the closed mode. The photosynthetic rate was determined at anthesis stage in the upper most fully expanded leaf between 10 a .m and 11.30 a .m by providing artificial light source of light intensity 1200 &#181;mol∙m<sup>−2</sup>∙S<sup>−1</sup>. The net photosynthetic rate was expressed as &#181;mol∙m<sup>−2</sup>∙s<sup>−1</sup><sub>.</sub></p></sec><sec id="s2_10"><title>2.10. Total Soluble Sugars</title><p>Total sugar was determined the by Anthrone reagent method [<xref ref-type="bibr" rid="scirp.59654-ref16">16</xref>] .</p><p>One ml of sugar sample was taken and to this 4 ml solution of anthrone regent was added. The mixture is heated on a boiling water bath for 8 min followed by cooling. The optical density of green to dark green colour was read at 630 nm in UV-visible spectrophotometer (model Specord Bio-200, Analytik Jena, Germany). A blank and two freshly prepared glucose standards were also included with each set of samples.</p></sec><sec id="s2_11"><title>2.11. Statistical Analysis</title><p>The data were analyzed statistically using factorial complete randomized design (CRD) and CD at 5% (p = 0.05) and ANOVA were calculated. The analysis was done using Statistics 8.1 software programme.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><p>The concentration of CO<sub>2</sub> changed from morning to evening. The concentration of CO<sub>2</sub> was higher during morning hour after that due to increase in consumption by plants as the day progresed led to decrease in concentration inside the OTCs. Moreover, during evening hour the concentration of CO<sub>2</sub> again rises (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The temperatures inside OTCs were different in each OTC. A summary of temperature condition inside OTCs were presented in <xref ref-type="table" rid="table2">Table 2</xref>.</p><sec id="s3_1"><title>3.1. Relative Water Content (RWC%)</title><p>Relative water content of rice genotypes was measured to assess the water status of the plants inside open top chambers (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The mean RWC was increased 5% under elevated CO<sub>2</sub> condition across the cultivars while there was decline in mean RWC (21%) under elevated temperature condition as compared to ambient condition. Genotypic differences were also observed inside OTCs under different set of CO<sub>2</sub> and temperature condition. Rice plants IR83376-B-B-24-2 and R. Bhagwati showed enhancement in RWC by around 7% and 5% treated with elevated CO<sub>2</sub> as compared to plant grown under ambient condition while there was decline in RWC by around 4% and 13% grown under elevated temperature as compared ambient condition. While, in IR84895- B-127-CRA-5-1-1 and IR 64 enhancement was 2% and 6%, respectively. The decline in RWC was more in IR84895-B-127-CRA-5-1-1 and IR 64 rice genotypes, 29%and 18%, respectively due to elevated temperature. RWC declined more slowly at elevated CO<sub>2</sub> [<xref ref-type="bibr" rid="scirp.59654-ref17">17</xref>] . Higher CO<sub>2</sub> levels will influence stomatal behavior beneficially by reducing water loss through transpiration, thus increasing water use efficiency [<xref ref-type="bibr" rid="scirp.59654-ref18">18</xref>] .</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Dynamics of CO<sub>2</sub> concentration and consumption inside open top chamber (OTC 1, 2) and open field at 45, 60 and 75 days after transplanting</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x9.png"/></fig><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Average temperature variation inside open top chambers (OTCs) and field condition (met data) at 45, 60 and 75 days after transplanting (DAT)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Days after transplanting</th><th align="center" valign="middle" >OTC 1</th><th align="center" valign="middle" >OTC 2</th><th align="center" valign="middle" >OTC 3</th><th align="center" valign="middle" >OTC 4</th><th align="center" valign="middle" >Field condition</th></tr></thead><tr><td align="center" valign="middle" >45 DAT</td><td align="center" valign="middle" >28.3</td><td align="center" valign="middle" >28.7</td><td align="center" valign="middle" >31.0</td><td align="center" valign="middle" >30.2</td><td align="center" valign="middle" >28.0</td></tr><tr><td align="center" valign="middle" >60 DAT</td><td align="center" valign="middle" >28.1</td><td align="center" valign="middle" >28.5</td><td align="center" valign="middle" >30.1</td><td align="center" valign="middle" >29.8</td><td align="center" valign="middle" >27.3</td></tr><tr><td align="center" valign="middle" >75 DAT</td><td align="center" valign="middle" >29.4</td><td align="center" valign="middle" >29.7</td><td align="center" valign="middle" >31.3</td><td align="center" valign="middle" >30.7</td><td align="center" valign="middle" >28.9</td></tr></tbody></table></table-wrap></sec><sec id="s3_2"><title>3.2. Membrane Stability Index (MSI%)</title><p>Membrane stability index (%) was measured to assess the stability of the cell membrane of the plants leaf inside open top chambers under elevated CO<sub>2</sub> and temperature condition (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The mean MSI (11%) was increased under elevated CO<sub>2</sub> condition across the cultivars while there was decline in mean MSI (14%) under elevated temperature condition. Rice plants IR83376-B-B-24-2 and R. Bhagwati showed enhancement in MSI by around 14% and 10% treated with elevated CO<sub>2</sub> while there was decline in MSI by around 11% and 12% with elevated temperature as compared ambient condition. While, in IR84895-B-127-CRA-5-1-1 and IR 64 the increment in MSI due to elevated CO<sub>2</sub> was 7% and 12%, respectively. The injury of cell membrane structure and function due to elevated temperature was also reported [<xref ref-type="bibr" rid="scirp.59654-ref19">19</xref>] -[<xref ref-type="bibr" rid="scirp.59654-ref21">21</xref>] .</p></sec><sec id="s3_3"><title>3.3. Chlorophyll Content (mg/g DW)</title><p>The mean chlorophyll content was increased under elevated CO<sub>2</sub> across the genotypes while there was decline in mean chlorophyll content under elevated temperature condition (<xref ref-type="fig" rid="fig5">Figure 5</xref>). Plants of IR83376-B-B-24-2 and R.</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Relative water content (RWC %) of rice genotypes grown under different climatic condition inside open top chambers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x10.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Membrane stability index (MSI %) of rice genotypes grown under different climatic conditions inside open top chambers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x11.png"/></fig><p>Bhagwati grown under elevated CO<sub>2 </sub>conditions showed enhancement in chlorophyll content by around 24% and 23% while there was decline in chlorophyll content by around 16% and 15% when grown under elevated temperature. While, in IR84896-B-127-CRA-5-1-1 and IR 64 it was 6% and 12%, respectively. However under elevated temperature condition the decline in chlorophyll content in rice genotypes IR84895-B-127-CRA-5-1-1 and IR 64 was 27% and 18%, respectively. [<xref ref-type="bibr" rid="scirp.59654-ref22">22</xref>] reported that high air temperature during heading stage negatively influenced SPAD value (relative content of chlorophyll) in rice flag leaves, significant reduction occurring with the continuous increment of air temperature.</p></sec><sec id="s3_4"><title>3.4. Photosynthetic Rate (&#181;mols∙m<sup>−2</sup>∙s<sup>−1</sup>)</title><p>Study revealed that photosynthetic rate of rice genotypes under elevated CO<sub>2</sub> treatment was significantly (p &lt; 0.05) greater than the ambient condition (<xref ref-type="fig" rid="fig6">Figure 6</xref>). However, the maximum photosynthetic rate achieved by rice genotype IR83376-B-B-24-2 with elevated CO<sub>2</sub> (i.e. 28.3). Photosynthetic rate under ambient CO<sub>2</sub> was (20.1) significantly (p &lt; 0.05) lower than that of elevated CO<sub>2</sub> (26.4) treatment. Elevated temperatures have negative effect on plant photosynthetic rate. The mean photosynthetic rate was reduced (21%) under elevated temperature</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> Chlorophyll content of rice genotypes grown under different climatic conditions inside open top chambers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x12.png"/></fig><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Photosynthetic rate of rice genotypes grown under different climatic conditions inside open top chambers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x13.png"/></fig><p>across the genotypes, however rice genotypes IR83376-B-B-24-2 was least affected due to elevated temperature. Elevated temperature have pronounced negative effect on the genotypes IR84895-B-127-CRA-5-1-1 and showed maximum decline (32%) in photosynthetic rate as compared to ambient condition. [<xref ref-type="bibr" rid="scirp.59654-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.59654-ref24">24</xref>] also reported that elevated CO<sub>2</sub> concentrations stimulate photosynthesis, leading to increased plant productivity and modified water and nutrient cycles. Elevated CO<sub>2</sub> concentrations may enhance potential net photosynthesis of C<sub>3</sub> plants because ribulose-1, 5-bisphophate carboxylase/oxygenase (rubisco), an enzyme involved in both CO<sub>2 </sub>fixation and photorespiration [<xref ref-type="bibr" rid="scirp.59654-ref25">25</xref>] . Thus, an increase in ambient CO<sub>2</sub> raises the leaf internal CO<sub>2</sub> concentration and the CO<sub>2</sub>/O<sub>2 </sub>ratio at the rubisco site, favoring carboxylation over oxygenation in ribulose-1, 5-bisphosphate (RuBP). In general, approximately 60% of assimilates demanded by rice grain-filling are derived from post-anthesis photosynthetic production produced by flag leaves, which prominently contributes to grain filling. Therefore, the photosynthetic ability of flag leaves is crucial for the determination of grain yield. [<xref ref-type="bibr" rid="scirp.59654-ref11">11</xref>] found that the impaired net photosynthetic rate by high temperature was mainly attributed to the reduction of chlorophyll content as well as activities of activating enzyme (RuBisCO) and carboxylase (RuBP) involved in photosynthesis in flag leaves.</p></sec><sec id="s3_5"><title>3.5. Total Soluble Sugar Content (mg/g DW)</title><p>Total soluble sugar content of the elevated CO<sub>2</sub> treatment was significantly (p &lt; 0.05) greater than the control OTC at all times (<xref ref-type="fig" rid="fig7">Figure 7</xref>). The mean total soluble sugar content was increased under elevated CO<sub>2</sub> across the genotypes. The maximum total soluble sugar content achieved by rice genotype IR83376-B-B-24-2 with elevated CO<sub>2</sub> (i.e. 4.62). Elevated temperatures have negative effect on total soluble sugar content. Rice genotypes IR83376-B-B-24-2 was least affected due to elevated temperature. Elevated temperature have pronounced negative effect on the genotypes IR84895-B-127-CRA-5-1-1 and showed maximum decline in total soluble sugar content as compared to ambient condition. Heat triggered a significant decrease in sugar contents of flag leaves, implying that photosynthetic mechanism was severely impaired along with the reduction of photosynthesis under high temperature, which was in agreement with the reports by [<xref ref-type="bibr" rid="scirp.59654-ref11">11</xref>] .</p></sec><sec id="s3_6"><title>3.6. Yield and Yield Attributes</title><p>Results revealed that yield and yield attributes traits of all the genotypes of rice showed positive response with elevated CO<sub>2</sub> and negative with elevated temperature (<xref ref-type="table" rid="table3">Table 3</xref>). The grain yield increased with elevated CO<sub>2</sub> but declined with elevated temperature across the genotypes. Rice genotype IR83376-B-B-24-2 (4.81 t∙ha<sup>−1</sup>) followed by Rajendra Bhagwati (4.52 t∙ha<sup>−1</sup>) produced higher yield in 25% higher CO<sub>2</sub> concentration (500 ppm) than other two varieties. Higher reduction in yield was observed in genotype IR84895-B-127-CRA-5-1-1 under</p><fig id="fig7"  position="float"><label><xref ref-type="fig" rid="fig7">Figure 7</xref></label><caption><title> Total soluble sugar (TSS) of rice genotypes grown under different climatic conditions inside open top chambers</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/13-2602174x14.png"/></fig><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Yield contributing traits and yield of rice inside open top chambers (OTCs)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cultivar</th><th align="center" valign="middle" >Treatment</th><th align="center" valign="middle"  colspan="3"  >Plant height (cm)</th><th align="center" valign="middle"  colspan="3"  >Panicle length (cm)</th><th align="center" valign="middle"  colspan="3"  >Grains panicle<sup>−1</sup></th><th align="center" valign="middle"  colspan="3"  >1000 grain weight (g)</th><th align="center" valign="middle"  colspan="3"  >Grain yield (t∙ha−<sup>1</sup>)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >R. Bhagwati</td><td align="center" valign="middle" >Ambient CO<sub>2</sub></td><td align="center" valign="middle"  colspan="3"  >129</td><td align="center" valign="middle"  colspan="3"  >28.12</td><td align="center" valign="middle"  colspan="3"  >198</td><td align="center" valign="middle"  colspan="3"  >22.19</td><td align="center" valign="middle"  colspan="3"  >3.91</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2 </sub>(25% higher &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >137</td><td align="center" valign="middle"  colspan="3"  >30.48</td><td align="center" valign="middle"  colspan="3"  >215</td><td align="center" valign="middle"  colspan="3"  >23.90</td><td align="center" valign="middle"  colspan="3"  >4.52</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2</sub> + Elevated Temp (2˚C)</td><td align="center" valign="middle"  colspan="3"  >157</td><td align="center" valign="middle"  colspan="3"  >29.94</td><td align="center" valign="middle"  colspan="3"  >207</td><td align="center" valign="middle"  colspan="3"  >22.91</td><td align="center" valign="middle"  colspan="3"  >4.26</td></tr><tr><td align="center" valign="middle" >Elevated Temp (2˚C) &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >149</td><td align="center" valign="middle"  colspan="3"  >27.96</td><td align="center" valign="middle"  colspan="3"  >194</td><td align="center" valign="middle"  colspan="3"  >17.48</td><td align="center" valign="middle"  colspan="3"  >3.19</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >IR64</td><td align="center" valign="middle" >Ambient CO<sub>2</sub></td><td align="center" valign="middle"  colspan="3"  >132</td><td align="center" valign="middle"  colspan="3"  >28.56</td><td align="center" valign="middle"  colspan="3"  >218</td><td align="center" valign="middle"  colspan="3"  >23.68</td><td align="center" valign="middle"  colspan="3"  >3.78</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2 </sub>(25% higher &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >142</td><td align="center" valign="middle"  colspan="3"  >30.74</td><td align="center" valign="middle"  colspan="3"  >242</td><td align="center" valign="middle"  colspan="3"  >25.03</td><td align="center" valign="middle"  colspan="3"  >4.23</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2</sub> + Elevated Temp (2˚C)</td><td align="center" valign="middle"  colspan="3"  >160</td><td align="center" valign="middle"  colspan="3"  >29.46</td><td align="center" valign="middle"  colspan="3"  >219</td><td align="center" valign="middle"  colspan="3"  >24.14</td><td align="center" valign="middle"  colspan="3"  >4.02</td></tr><tr><td align="center" valign="middle" >Elevated Temp (2˚C) &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >155</td><td align="center" valign="middle"  colspan="3"  >28.6</td><td align="center" valign="middle"  colspan="3"  >198</td><td align="center" valign="middle"  colspan="3"  >18.69</td><td align="center" valign="middle"  colspan="3"  >3.42</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >IR83376-B-B-24-2</td><td align="center" valign="middle" >Ambient CO<sub>2</sub></td><td align="center" valign="middle"  colspan="3"  >153</td><td align="center" valign="middle"  colspan="3"  >31.32</td><td align="center" valign="middle"  colspan="3"  >228</td><td align="center" valign="middle"  colspan="3"  >24.09</td><td align="center" valign="middle"  colspan="3"  >4.18</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2 </sub>(25% higher &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >166</td><td align="center" valign="middle"  colspan="3"  >35.14</td><td align="center" valign="middle"  colspan="3"  >245</td><td align="center" valign="middle"  colspan="3"  >27.01</td><td align="center" valign="middle"  colspan="3"  >4.81</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2</sub> + Elevated Temp (2˚C)</td><td align="center" valign="middle"  colspan="3"  >177</td><td align="center" valign="middle"  colspan="3"  >32.16</td><td align="center" valign="middle"  colspan="3"  >233</td><td align="center" valign="middle"  colspan="3"  >25.08</td><td align="center" valign="middle"  colspan="3"  >4.49</td></tr><tr><td align="center" valign="middle" >Elevated Temp (2˚C) &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >170</td><td align="center" valign="middle"  colspan="3"  >28.96</td><td align="center" valign="middle"  colspan="3"  >231</td><td align="center" valign="middle"  colspan="3"  >20.52</td><td align="center" valign="middle"  colspan="3"  >3.9</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >IR84895-B- 127-CRA-5-1-1</td><td align="center" valign="middle" >Ambient CO<sub>2</sub></td><td align="center" valign="middle"  colspan="3"  >93</td><td align="center" valign="middle"  colspan="3"  >19.88</td><td align="center" valign="middle"  colspan="3"  >109</td><td align="center" valign="middle"  colspan="3"  >21.77</td><td align="center" valign="middle"  colspan="3"  >3.56</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2 </sub>(25% higher &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >95</td><td align="center" valign="middle"  colspan="3"  >20.42</td><td align="center" valign="middle"  colspan="3"  >115</td><td align="center" valign="middle"  colspan="3"  >22.07</td><td align="center" valign="middle"  colspan="3"  >3.88</td></tr><tr><td align="center" valign="middle" >Elevated CO<sub>2</sub> + Elevated Temp (2˚C)</td><td align="center" valign="middle"  colspan="3"  >104</td><td align="center" valign="middle"  colspan="3"  >20.14</td><td align="center" valign="middle"  colspan="3"  >113</td><td align="center" valign="middle"  colspan="3"  >22.04</td><td align="center" valign="middle"  colspan="3"  >3.70</td></tr><tr><td align="center" valign="middle" >Elevated Temp (2˚C) &gt; Ambient</td><td align="center" valign="middle"  colspan="3"  >103</td><td align="center" valign="middle"  colspan="3"  >19</td><td align="center" valign="middle"  colspan="3"  >104</td><td align="center" valign="middle"  colspan="3"  >17.10</td><td align="center" valign="middle"  colspan="3"  >2.91</td></tr><tr><td align="center" valign="middle" >Factors</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >O</td><td align="center" valign="middle" >V</td><td align="center" valign="middle" >OXV</td><td align="center" valign="middle" >O</td><td align="center" valign="middle" >V</td><td align="center" valign="middle" >OXV</td><td align="center" valign="middle" >O</td><td align="center" valign="middle" >V</td><td align="center" valign="middle" >OXV</td><td align="center" valign="middle" >O</td><td align="center" valign="middle" >V</td><td align="center" valign="middle" >OXV</td><td align="center" valign="middle" >O</td><td align="center" valign="middle" >V</td><td align="center" valign="middle" >OXV</td></tr><tr><td align="center" valign="middle" >LSD (p = 0.05)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3.57</td><td align="center" valign="middle" >3.57</td><td align="center" valign="middle" >7.14</td><td align="center" valign="middle" >1.14</td><td align="center" valign="middle" >1.14</td><td align="center" valign="middle" >2.29</td><td align="center" valign="middle" >8.97</td><td align="center" valign="middle" >8.97</td><td align="center" valign="middle" >17.94</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >0.53</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >0.20</td></tr><tr><td align="center" valign="middle" >SEm+</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.78</td><td align="center" valign="middle" >1.78</td><td align="center" valign="middle" >3.57</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >1.15</td><td align="center" valign="middle" >4.49</td><td align="center" valign="middle" >4.49</td><td align="center" valign="middle" >8.98</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >0.49</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.09</td></tr><tr><td align="center" valign="middle" >CV (%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="3"  >4.06</td><td align="center" valign="middle"  colspan="3"  >6.60</td><td align="center" valign="middle"  colspan="3"  >7.39</td><td align="center" valign="middle"  colspan="3"  >2.23</td><td align="center" valign="middle"  colspan="3"  >2.47</td></tr></tbody></table></table-wrap><p>O―OTC; V―Variety; OXV―Interaction.</p><p>elevated temperature. [<xref ref-type="bibr" rid="scirp.59654-ref26">26</xref>] also reported that increasing CO<sub>2</sub> concentration in the atmosphere could lead to higher crop yields. [<xref ref-type="bibr" rid="scirp.59654-ref27">27</xref>] found that grain yield of rice was declined by 10% for each 1˚C increase in the growing season minimum temperature above 32˚C. [<xref ref-type="bibr" rid="scirp.59654-ref28">28</xref>] analyzed the impacts of elevated CO<sub>2</sub> and temperature on irrigated rice yield in eastern India by ORYZAI and info crop-rice models, and the result shows that increased CO<sub>2 </sub>concentration can increase the rice yield, which is concerned with the sterility of rice spikelet’s at higher temperature, the sowing time and the selection of genotypes.</p></sec><sec id="s3_7"><title>3.7. Conclusions and Implications</title><p>Improved physiological traits (RWC, membrane stability, chlorophyll content, photosynthetic rate and TSS) may benefit rice genotypes under elevated CO<sub>2</sub> and temperature conditions. By virtue of greater membrane stability and photosynthetic rate, IR83376-B-B-24-2 and Rajendra Bhagwati may be assumed as tolerant among the studied rice genotypes for growing in changing climatic conditions. Since rice is a staple food crop, long term studies may provide better understanding on the efficiency of such genotypes which are increasingly associated with food security.</p></sec></sec><sec id="s4"><title>Cite this paper</title><p>Sharad KumarDwivedi,SantoshKumar,VedPrakash,SurajitMondal,Janki SharanMishra, (2015) Influence of Rising Atmospheric CO2 Concentrations and Temperature on Morpho-Physiological Traits and Yield of Rice Genotypes in Sub Humid Climate of Eastern India. 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