<?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">
    ajcc
   </journal-id>
   <journal-title-group>
    <journal-title>
     American Journal of Climate Change
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2167-9495
   </issn>
   <issn publication-format="print">
    2167-9509
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ajcc.2025.143023
   </article-id>
   <article-id pub-id-type="publisher-id">
    ajcc-144485
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Earth 
     </subject>
     <subject>
       Environmental Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Mitigating Global Warming Potentials and Optimizing Rice Productivity through Synergistic Effects of Irrigation Practices and Soil Amendments in Drought Prone Areas of Bangladesh
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sanjit Chandra
      </surname>
      <given-names>
       Barman
      </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>
       Muhammad Aslam
      </surname>
      <given-names>
       Ali
      </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>
       Md. Badiuzzaman
      </surname>
      <given-names>
       Khan
      </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>
       Md. Anamul
      </surname>
      <given-names>
       Hoque
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Hafsa Jahan
      </surname>
      <given-names>
       Hiya
      </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>
       Krisna Rani
      </surname>
      <given-names>
       Sarker
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       S. K. Md. Fazlay
      </surname>
      <given-names>
       Rabbi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Environmental Science, Bangladesh Agricultural University, Mymensingh, Bangladesh
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Soil Science, Bangladesh Agricultural University, Mymensingh, Bangladesh
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     04
    </day> 
    <month>
     07
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    14
   </volume> 
   <issue>
    03
   </issue>
   <fpage>
    459
   </fpage>
   <lpage>
    482
   </lpage>
   <history>
    <date date-type="received">
     <day>
      5,
     </day>
     <month>
      May
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      27,
     </day>
     <month>
      May
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      27,
     </day>
     <month>
      July
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © 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>
    Irrigation water availability has become a major crisis for rice cultivation in the North-West Barind Tract areas of Bangladesh. Therefore, field experiments were conducted at Mohadebpur, Naogaon and Nachole, Chapainawabganj districts to find out the suitable water savings irrigation technique for sustaining rice productivity and controlling global warming potentials with different combinations of vermicompost, phosphogypsum and chemical fertilizers. The maximum grain yield 6760 - 6800 kg∙ha
    <sup>−1</sup> were recorded in Vermicompost (10 t∙ha
    <sup>−1</sup>) with Phospho-gypsum (2.5 t∙ha
    <sup>−1</sup>) amendments along with reduced amount of Nitrogen fertilizer (N 25% of the recommended doze), followed by 6680-6700 kg ha
    <sup>−1</sup> (Vermicompost 7.5 t∙ha
    <sup>−1</sup> + phospho-gypsum 2.0 t∙ha
    <sup>−1</sup> + N 50% RFD) under AWD irrigation. Aerobic irrigation saved 37.0% - 39.0% irrigation water, followed by 24.5% - 26.0% in alternate wetting and drying irrigation compared to the total required water (30,807 m
    <sup>3</sup> ha
    <sup>−1</sup>) in conventional irrigation. The average cost for irrigation was calculated at 14,825 - 15,100 Tk∙ha
    <sup>−</sup>
    <sup>1</sup> under conventional irrigation, which decreased to 11,775 - 11,850 Tk∙ha
    <sup>−</sup>
    <sup>1</sup> for alternate wetting and drying, 9750 - 9825 Tk∙ha
    <sup>−</sup>
    <sup>1</sup> for aerobic irrigation, respectively. The seasonal cumulative CH
    <sub>4</sub> emission and GWPs for boro season rice cultivation significantly decreased with AWD and aerobic irrigation practices. The maximum seasonal cumulative CH
    <sub>4</sub> emission, 221 kg/ha and 195 - 217 kg/ha, was recorded in Vermicompost (2.5 t/ha) with Phospho-gypsum (1.0 t∙ha
    <sup>−</sup>
    <sup>1</sup>) amendments under conventional irrigation, which were decreased by 21% - 23.0% and 24% - 25.0% for AWD and aerobic irrigation practices, respectively. The maximum GWPs value is 4875 - 5425 kg CO
    <sub>2</sub>-eq∙ha
    <sup>−1</sup> was estimated for conventional irrigation with vermicompost (2.5 t∙ha
    <sup>−</sup>
    <sup>1</sup>) plus Phospho-gypsum (1.0 t∙ha
    <sup>−</sup>
    <sup>1</sup>) amendments, which was decreased by 19% - 21% for AWD and 22% - 23% for aerobic irrigations, respectively. Soil physico-chemical properties were also improved with 7.5 - 10 t∙ha
    <sup>−</sup>
    <sup>1</sup> vermicompost and 2.0-2.5 t∙ha
    <sup>−1</sup> Phospho-gypsum amendments. Conclusively, the integration of environment friendly irrigation water management through alternate wetting and drying (AWD), and aerobic irrigation with Vermicompost amendments (7.5 - 10 t∙ha
    <sup>−</sup>
    <sup>1</sup>) and half of the recommended Nitrogenous fertilizer application may enhance the synergistic effect towards optimum rice productivity, increased water productivity, improved irrigation cost savings and ensure mitigation of GWPs during dry season irrigated rice cultivation.
   </abstract>
   <kwd-group> 
    <kwd>
     Rice Paddy
    </kwd> 
    <kwd>
      CH
     <sub>4</sub>
    </kwd> 
    <kwd>
      Water Productivity
    </kwd> 
    <kwd>
      Vermicompost
    </kwd> 
    <kwd>
      Phospho-Gypsum
    </kwd> 
    <kwd>
      AWD
    </kwd> 
    <kwd>
      Aerobic Irrigation
    </kwd> 
    <kwd>
      GWPs
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Rice is one of the most important cereal food crops in Bangladesh, which covers 75% of total cropland area and 80% of the total irrigated area in the country (<xref ref-type="bibr" rid="scirp.144485-26">
     IRRI, 2010
    </xref>). Bangladesh is the 4<sup>th</sup> largest per-head rice-consuming and rice-producing country globally (<xref ref-type="bibr" rid="scirp.144485-22">
     FAOSTAT, 2015
    </xref>). The country population is almost 170 million and is expected to be 210 million in 2050 (<xref ref-type="bibr" rid="scirp.144485-56">
     United Nations, 2015
    </xref>). Due to increasing population growth, the country needs more rice production in the future, which may influence methane (CH<sub>4</sub>) emissions from paddy fields. In Bangladesh, about 70% of the fresh water is diverted to irrigate rice fields. It has been estimated that 3000-5000 litres of water are required to produce 1.0 kg of rice (<xref ref-type="bibr" rid="scirp.144485-51">
     SAIC, 2007
    </xref>). Rice cultivation simultaneously contributes to the emission of methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) gases. It has already been reported that rice fields contribute about 30% and 11% of global agricultural CH<sub>4</sub> and N<sub>2</sub>O emissions, respectively (<xref ref-type="bibr" rid="scirp.144485-25">
     IPCC, 2007
    </xref>). The magnitude of CH<sub>4</sub> emissions from rice plants is regulated by complex and dynamic interactions among the plants, environment, and microorganisms (<xref ref-type="bibr" rid="scirp.144485-19">
     Das &amp; Baruah, 2008
    </xref>). CH<sub>4</sub> produced in flooded rice soils is emitted by molecular diffusion, ebullition, or plant-mediated transport to the atmosphere. The major factors influencing CH<sub>4</sub> emission from paddy field are irrigation water management and drainage (<xref ref-type="bibr" rid="scirp.144485-36">
     Ma et al., 2013
    </xref>; <xref ref-type="bibr" rid="scirp.144485-3">
     Ali et al., 2021
    </xref>), organic amendments (<xref ref-type="bibr" rid="scirp.144485-3">
     Ali et al., 2021
    </xref>; <xref ref-type="bibr" rid="scirp.144485-59">
     Win et al., 2020
    </xref>), and rice crop establishment methods (<xref ref-type="bibr" rid="scirp.144485-35">
     Liu et al., 2013
    </xref>). The agriculture sector depends mainly on imported agro-chemical inputs, i.e., chemical fertilizers and pesticides, with high costs (<xref ref-type="bibr" rid="scirp.144485-29">
     Kaplan, 2016
    </xref>). Partial substitution of these chemical fertilizers with organic inputs may accelerate rice productivity and improve soil fertility.</p>
   <p>Water management practices are vital factors to sustain rice productivity and control GHG emissions in paddy fields (<xref ref-type="bibr" rid="scirp.144485-16">
     Cheng et al., 2022
    </xref>). In major Asian rice-growing countries, a few water-saving irrigation methods have already been developed to reduce irrigation water and enhance water productivity, such as alternate wetting and drying (AWD) irrigation (<xref ref-type="bibr" rid="scirp.144485-33">
     Lampayan et al., 2013
    </xref>), aerobic rice system (<xref ref-type="bibr" rid="scirp.144485-57">
     Wang et al., 2002
    </xref>), and dry direct seeding rice (DDS) (<xref ref-type="bibr" rid="scirp.144485-61">
     Yang et al., 2023
    </xref>). Among them, AWD has quickly become one of the most widespread water-saving irrigation technologies in paddy fields. The AWDI systems save about 20% - 30% irrigation water compared to a conventional irrigation system. <xref ref-type="bibr" rid="scirp.144485-53">
     Sudhir-Yadav et al. (2011)
    </xref> estimated that AWD irrigation practices saved 50% irrigation water, and this savings could be increased to 70% by aerobic irrigation practices compared to conventional irrigation practices. The sustainability of the irrigated rice systems is increasingly threatened by a scarcity of freshwater resources. It is estimated that 17 million ha of irrigated rice may experience physical water scarcity and 22 million ha may face economic water scarcity in Asia by 2025 (<xref ref-type="bibr" rid="scirp.144485-55">
     Tuong &amp; Bouman, 2003
    </xref>), which led to the adoption of water-saving AWD and aerobic rice systems.</p>
   <p>In Bangladesh, the scarcity of irrigation water for rice cultivation has been increasing, which may affect rice production. Therefore, the efficiency of water use in irrigated rice production systems has to be developed. AWD irrigation techniques were introduced in Bangladesh in 2005, but still, only 5% of farmers used them. The studies show that the alternate wetting and drying techniques are reducing the environmental impacts without production loss. There are two great challenges of AWD for the country: one is growing more food for the expanding population, and the other is adverse environmental impacts of rice production by using AWD irrigation technologies.</p>
   <p>Aerobic rice is a new term given by the IRRI for high-yielding rice grown under non-flooded conditions in non-puddled and unsaturated (aerobic) soil moisture contents (<xref ref-type="bibr" rid="scirp.144485-11">
     Bouman &amp; Tuong, 2001
    </xref>). Soils are kept aerobic throughout the growing season in an aerobic rice production system. The aerobic irrigation is a potential water-saving technique through which irrigation water is supplied to keep the soil moisture content up to the field capacity level except wet soil conditions around early tillering, panicle initiation, and flowering stages (<xref ref-type="bibr" rid="scirp.144485-12">
     Bouman et al., 2007
    </xref>). <xref ref-type="bibr" rid="scirp.144485-47">
     Rahman and Masood (2012)
    </xref> reported that Boro rice cultivation following aerobic irrigation practice saved 50% - 60% irrigation water and increased farm income by reducing cost of production. By reducing water use during land preparation and limiting seepage, percolation, and evaporation, aerobic rice lowered total water use by 51% and revealed 32% - 88% higher water productivity than flooded rice (<xref ref-type="bibr" rid="scirp.144485-13">
     Bouman et al., 2005
    </xref>). The number of laborers utilized in aerobic rice cultivation is also lower compared to flooded rice (<xref ref-type="bibr" rid="scirp.144485-57">
     Wang et al., 2002
    </xref>), probably due to more labor is required for land preparation, such as puddling, transplanting, and irrigation activities for floodwater rice cultivation.</p>
   <p>Barind Tract is located in the North West Hydrological region of Bangladesh, which covers Natore, Sirajganj, Naogaon, Nawabganj, Pabna, Rajshahi, Gaibandha, Jaipurhat, Dinajpur, Rangpur, and Bogura districts. Rice production in these areas faces multiple challenges. This region is characterized by very high temperatures and receives less amount of rainfall than other parts of the country. The annual temperature and rainfall are between 8˚C to 44˚C and 1500 mm to 2000 mm, respectively (<xref ref-type="bibr" rid="scirp.144485-49">
     Reza &amp; Mazumder, 2005
    </xref>). The seasonal rainfall imbalance is badly affecting the groundwater level and the local agricultural production. The Monsoon season (June to September) covers 80% of the total rainfall of the area, whereas other seasons cover only the remaining 20% of 20% rainfall (<xref ref-type="bibr" rid="scirp.144485-49">
     Reza &amp; Mazumder, 2005
    </xref>). It has already been reported that groundwater irrigation may become maladaptive in the context of a changing climate, which may deplete aquifers and increase salinity (<xref ref-type="bibr" rid="scirp.144485-27">
     Islam, 2021
    </xref>). Due to the water crisis, dry season boro rice cultivation is getting difficult, unless any feasible irrigation water savings technology is introduced in the Barind tract areas. Furthermore, the uncertainty and inadequate supply of electricity hampers irrigation water supply, which may affect rice cultivation in the dry season. Therefore, this experiment was conducted at Mohadebpur, Naogaon and Nachole, Chapainawabganj, to determine the feasible water-saving irrigation technique and suitable combination of vermicompost with nitrogenous fertilizer for sustainable rice productivity, increasing water productivity, improving soil fertility, and decreasing GWPs during dry-season irrigated rice cultivation.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Experimental Location and Meteorological Conditions in Selected Sites</title>
    <p>The study area was located in Natshail village of Mohadebpur upazila of Naogaon district in the north-west region of Bangladesh. Mohadebpur upazila occupies an area of 397.67 sq km, located between 24˚48' and 25˚01' north latitudes and between 88˚38' and 88˚53' east longitudes, at a height of 25 meters above sea level and belongs to the High Barind Tract (AEZ 26). Another study area was located in Jonakipara village of Nachole upazila of Chapainawabganj district in the north-west region of Bangladesh. Nachole upazila occupies an area of 283.67 square kilometers, located between 24˚38' and 24˚51' north latitudes and between 88˚15' and 88˚21' east longitudes at 25 meters above sea level and belongs to the High Barind Tract (AEZ 26). During the experimental period, the average maximum temperatures were recorded as 34.8˚C and 36.14˚C during 2017-2018 and 2018-2019, and the minimum temperatures were recorded as 8.35 and 10.43˚C, respectively. The average monthly humidity during the rice growing season was 65%. However, the monthly average distribution of rainfall from January to April was very low and uneven; the range of effective rainfall was 6.00 mm to 43.2 mm, which indicates the necessity of irrigation water for rice cultivation during dry rabi season.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Soil Properties of the Field Experimental Sites</title>
    <p>The soil was clay loam in texture, having a low status of organic matter, including phosphorus and potassium. The pH of the soil recorded 6.1 - 6.4, organic matter 0.56% - 0.65%, total nitrogen 0.09% - 0.10%, phosphorus (P) 2.62 ppm, exchangeable K 0.16 - 0.20 meq.100 g<sup>−</sup><sup>1</sup> soil and Sulphur 12.9 - 13.6 ppm.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Experimental Setup According to Irrigation and Soil Amendments Treatments</title>
    <p>The experiment was laid out in a randomized complete block design (RCBD) with three replications. The unit plot size was 10 m<sup>2</sup> (5 m × 2 m). Each 10 m<sup>2</sup> plot contained 210 seedlings. To facilitate cultural operations, proper spacing was kept among the plots and blocks. Field experiments were carried out during the periods from December 2017-May 2018 (dry irrigated Boro season) and December 2018-May 2019. In this study, three irrigation treatments were followed: Conventional irrigation (Ic), Alternate wetting and drying (AWD), and aerobic irrigation. Under each irrigation practice, four soil amendments were selected: T1: No NPKS, No amendments, T2: NPKS 100% recommended fertilizer (RFD) + Vermicompost (VC) 2.5 t∙ha<sup>−</sup><sup>1</sup> + Phospho-gypsum (PG) 1.0 t∙ha<sup>−</sup><sup>1</sup>, T3: N (50% RFD) with recommended PKS + VC 7.5 t∙ha<sup>−</sup><sup>1</sup> + PG 2.0 t∙ha<sup>−</sup><sup>1</sup>, T4: N (25% RFD) with recommended PKS + VC 10.0 t∙ha<sup>−</sup><sup>1</sup> + PG 2.5 t∙ha<sup>−</sup><sup>1</sup>.</p>
    <p>In conventional irrigation, 5 cm of standing water in the experimental field was maintained from rice seedling transplanting to establishment period and irrigation stopped before two weeks of harvesting. In case of AWD irrigation, perforated PVC pipes were installed in the experimental plots 10 days after transplanting (DAT) according to treatments for measuring soil water depletion to follow AWD techniques. The diameter of the pipe was 8 cm and the length was 25 cm. After irrigation water application, water entered through perforations and water level inside the pipe was at the same level as that of outside. With the progress of time when water level depleted in AWD plots, 5 cm irrigation was done when the depleting water table inside the pipe fell 15 cm below ground level.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Estimation of Water Requirement, Water Savings and Water Productivity</title>
    <p>Water requirement for rice cultivation was computed by adding applied irrigation water, effective rainfall during growing season and water for land preparation (<xref ref-type="bibr" rid="scirp.144485-48">
      Rashid, 1997
     </xref>). Water use expressed as m<sup>3</sup>/ha is the amount of irrigation water used at each experimental site that was estimated using a flow meter connected with irrigation pump plus the total amount of rainfall recorded during the rice growing period.</p>
    <p>In the study, water saving percentage was calculated as follows:</p>
    <p>
     <math xmlns="http://www.w3.org/1998/Math/MathML"> <mtable columnalign="left"> 
       <mtr> 
        <mtd> 
         <mtext>
           Water Savings 
         </mtext> 
         <mrow> 
          <mo>
            ( 
          </mo> 
          <mi>
            % 
          </mi> 
          <mo>
            ) 
          </mo> 
         </mrow> 
        </mtd> 
       </mtr> 
       <mtr> 
        <mtd> 
         <mo>
           = 
         </mo> 
         <mfrac> 
          <mrow> 
           <mrow> 
            <mrow> 
             <mtext>
               Water supplied in flooded plot 
             </mtext> 
             <mo>
               − 
             </mo> 
             <mtext>
               Water supplied in AWDI 
             </mtext> 
            </mrow> 
            <mo>
              / 
            </mo> 
            <mrow> 
             <mtext>
               Aerobic plot 
             </mtext> 
            </mrow> 
           </mrow> 
          </mrow> 
          <mrow> 
           <mtext>
             Water supplied in flooded plot 
           </mtext> 
          </mrow> 
         </mfrac> 
         <mo>
           × 
         </mo> 
         <mn>
           100 
         </mn> 
        </mtd> 
       </mtr> 
      </mtable> 
     </math></p>
    <p>Water productivity is expressed as the ratio of grain yield (kg/ha) per unit water (m<sup>3</sup>/ha) supplied, including rainfall (<xref ref-type="bibr" rid="scirp.144485-28">
      Jaafar et al., 2000
     </xref>) and calculated as follows:</p>
    <p>
     <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <mtext>
         Water productivity 
       </mtext> 
       <mrow> 
        <mo>
          ( 
        </mo> 
        <mrow> 
         <mrow> 
          <mrow> 
           <mtext>
             kg 
           </mtext> 
          </mrow> 
          <mo>
            / 
          </mo> 
          <mrow> 
           <msup> 
            <mtext>
              m 
            </mtext> 
            <mtext>
              3 
            </mtext> 
           </msup> 
          </mrow> 
         </mrow> 
        </mrow> 
        <mo>
          ) 
        </mo> 
       </mrow> 
       <mo>
         = 
       </mo> 
       <mfrac> 
        <mrow> 
         <mtext>
           Grain Yield 
         </mtext> 
         <mrow> 
          <mo>
            ( 
          </mo> 
          <mrow> 
           <mfrac> 
            <mrow> 
             <mtext>
               kg 
             </mtext> 
            </mrow> 
            <mrow> 
             <mtext>
               ha 
             </mtext> 
            </mrow> 
           </mfrac> 
          </mrow> 
          <mo>
            ) 
          </mo> 
         </mrow> 
        </mrow> 
        <mrow> 
         <mtext>
           Total water supplied 
         </mtext> 
         <mrow> 
          <mo>
            ( 
          </mo> 
          <mrow> 
           <mfrac> 
            <mrow> 
             <msup> 
              <mtext>
                m 
              </mtext> 
              <mtext>
                3 
              </mtext> 
             </msup> 
            </mrow> 
            <mrow> 
             <mtext>
               ha 
             </mtext> 
            </mrow> 
           </mfrac> 
          </mrow> 
          <mo>
            ) 
          </mo> 
         </mrow> 
        </mrow> 
       </mfrac> 
      </mrow> 
     </math></p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Gas Sampling, Analysis by GC and Estimation of Total Seasonal Cumulative CH<sub>4</sub> Flux</title>
    <p>A modified closed-chamber method (<xref ref-type="bibr" rid="scirp.144485-7">
      Ali et al., 2008
     </xref>; <xref ref-type="bibr" rid="scirp.144485-50">
      Rolston, 1986
     </xref>) was used to estimate CH<sub>4</sub> emission during rice cultivation. Gas samples were collected by 50ml gas-tight syringes at 0, 15 and 30 minutes after chamber placement over flooded plots at different rice growth stages to get average CH<sub>4</sub> emissions. The dimension of closed chamber was 62 cm × 62 cm × 112 cm. Samples were analyzed to determine CH<sub>4</sub> concentration by gas chromatograph (Shimadzu, GC 2014, Japan) with a Flame Ionization Detector. The temperatures of column, injector and detector were adjusted at 100˚C, 200˚C and 200˚C, respectively. A closed-chamber equation (<xref ref-type="bibr" rid="scirp.144485-50">
      Rolston, 1986
     </xref>) was used to estimate methane fluxes for every treatment.</p>
    <p>F = ρ × V/A × Δc/Δt × 273/T</p>
    <p>where, F (Flux) = CH<sub>4</sub> emission rate (mg CH<sub>4</sub> m<sup>−</sup><sup>2</sup> hr<sup>−</sup><sup>1</sup>), ρ = gas density (0.714 mg cm<sup>−</sup><sup>3</sup>), V = volume of chamber (A × h; m<sup>3</sup>), A = surface area of chamber (length × width; m<sup>2</sup>), h = height of the chamber (m), Δc/Δt = rate of increase of CH<sub>4</sub> gas concentration (mg∙m<sup>−</sup><sup>3</sup>∙hr<sup>−</sup><sup>1</sup>), T (absolute temperature) = 273 + mean temperature (˚C).</p>
    <p>Total seasonal methane emission/flux for the entire cropping period was computed by the formula (<xref ref-type="bibr" rid="scirp.144485-52">
      Singh, 1999
     </xref>): Total CH<sub>4</sub> flux = 
     <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <mstyle displaystyle="true"> 
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         <mo>
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         </mo> 
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            = 
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          <mn>
            1 
          </mn> 
         </mrow> 
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           n 
         </mi> 
        </msubsup> 
        <mrow> 
         <mrow> 
          <mo>
            ( 
          </mo> 
          <mrow> 
           <mi>
             R 
           </mi> 
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             i 
           </mi> 
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           <mo>
             × 
           </mo> 
           <mi>
             D 
           </mi> 
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           </mi> 
          </mrow> 
          <mo>
            ) 
          </mo> 
         </mrow> 
        </mrow> 
       </mstyle> 
      </mrow> 
     </math>, where, Ri = rate of methane flux (g∙m<sup>−</sup><sup>2</sup>∙d<sup>−</sup><sup>1</sup>) in the ith sampling interval, and n = number of sampling intervals.</p>
   </sec>
   <sec id="s2_6">
    <title>2.6. CH<sub>4</sub> Flux Calculation</title>
    <p>CH<sub>4</sub> flux was calculated based on following equation</p>
    <p>E = Slope (ppm/min) × VC × MW × 60 × 24 × 22.4 (273 + T/273) × Ac × 1000</p>
    <p>The emissions as kg CH<sub>4</sub> (or Kg N<sub>2</sub>O)/ha were derived from the slope of the linear regression curve of gas (CH<sub>4</sub> and N<sub>2</sub>O) concentrations against the chamber closing time. The slope was referred to as mass per unit area per unit time (mg/m2/h), where VC is the volume of the gas chamber in liters (L), MW is the molecular weight of the respective gas, 60 is minutes per hour and twenty four is hours of the day. The volume of 1 mol of gas in L at standard temperature and pressure is 22.4. T is the temperature inside the chamber (˚C) while 273 is the standard temperature of ˚K. AC is the chamber area (m<sup>2</sup>) and 1000 is μg/mg.</p>
   </sec>
   <sec id="s2_7">
    <title>2.7. Estimation of GWP and GHGI</title>
    <p>To estimate the GWP, CO<sub>2</sub> is typically taken as the reference gas, and an increase or reduction in emission of CH<sub>4</sub> is converted into “CO<sub>2</sub>-equivalents” by means of their GWPs. In this study, we used the IPCC factors to calculate the combined GWP for 100 years (GWP = 25 × CH<sub>4</sub>, kg CO<sub>2</sub>-equivalents∙ha<sup>−</sup><sup>1</sup>) from CH<sub>4</sub> under various agricultural irrigation practices. In addition, the greenhouse gas intensity (GHGI) was calculated by dividing GWP by grain yield for rice (<xref ref-type="bibr" rid="scirp.144485-38">
      Mosier et al., 2006
     </xref>).</p>
   </sec>
   <sec id="s2_8">
    <title>2.8. Investigation of Soil Properties</title>
    <p>
     <xref ref-type="bibr" rid="scirp.144485-"></xref>Soil redox potential (Eh) was measured during rice cultivation at certain time intervals by a glass electrode Eh meter. At∙harvesting stage, soil bulk density (BD) was analyzed using cores (volume 100 cm<sup>3</sup>, inner diameter 5 cm), filled with fresh moisture soils. The collected core samples were oven dried at 105˚C for 24 h, and then measured the weight of dried core samples was measured. Soil porosity was calculated using BD and particle density (PD, 2.89 Mg∙m<sup>−</sup><sup>3</sup>) according to the equation: porosity (%) = (1 − BD/PD) × 100. At∙harvesting stage, chemical properties of the collected soil samples were analyzed for organic carbon by wet oxidation method (<xref ref-type="bibr" rid="scirp.144485-8">
      Allison, 1965
     </xref>), organic matter content by multiplying the percent organic carbon with Van Bemmlen factor of 1.73, total nitrogen by Micro-kjeldhal method (<xref ref-type="bibr" rid="scirp.144485-39">
      Nelson et al., 1980
     </xref>), available phosphorus by Olsen method (<xref ref-type="bibr" rid="scirp.144485-40">
      Olsen &amp; Sommers, 1982
     </xref>), exchangeable potassium by Flame photometer (<xref ref-type="bibr" rid="scirp.144485-#HYPERLINK  l R14">
      Brown &amp; Lilleland, 1946
     </xref>).</p>
   </sec>
   <sec id="s2_9">
    <title>2.9. Statistical Analysis</title>
    <p>At first, experimental data were entered into Microsoft Excel. Then, analysis of variance (ANOVA) was performed using R software (R-4.3.3, 2024 version). Duncan’s multiple range test (DMRT) was conducted to identify statistically significant differences between group means at a 5% and 1% significance level.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. CH<sub>4</sub> Emission Rate under Different Irrigation Practices and Soil Amendments</title>
    <p>After rice was transplanted in the field, CH<sub>4</sub> emission rate within the first two weeks was low (<xref ref-type="fig" rid="figFigures 1(a)-(c)">
      Figures 1(a)-(c)
     </xref>, which increased signiﬁcantly at active tillering stage (35 DAT) and peaked at flowering to heading stage (77 - 84 DAT). In general, higher CH<sub>4</sub> emission rates were recorded in conventional irrigation practices compared to AWD and aerobic irrigation practices (<xref ref-type="fig" rid="figFigures 1(a)-(c)">
      Figures 1(a)-(c)
     </xref>). Among the amendments, vermicompost (VC) at 7.5 - 10.0 t/ha with phosphogypsum (PG) 2.0 - 2.5 t/ha and half of the recommended N-fertilizers showed lower CH<sub>4</sub> emission rates compared to recommended (100%) N-fertilizers with VC 2.5 t/ha and PG 1.0 t/ha. At 77 DAT, CH<sub>4</sub> peak 30 - 35 mg/m<sup>2</sup>/hr was observed in recommended chemicals with VC 2.5 t/ha and PG 1.0 t/ha (T2). After that, CH<sub>4</sub> emission rate sharply dropped with rice grain maturation. The least CH<sub>4</sub> emission was observed at 119 DAT before rice harvest.</p>
    <fig-group id="fig1" position="float">
     <fig id="fig1" position="float">
      <label>Figure 1</label>
      <caption>
       <title>(a)--(b)--(c)--Figure 1. (a) CH4 emission rate with different combinations of Vermicompost and NPKS during boro season rice cultivation (Conventional flooding); (b) CH4 emission rate with different combinations of Vermicompost, NPKs and PG during boro season rice cultivation (AWD); (c) CH4 emission rate with different combinations of Vermicompost, NPKS and Pcduring boro season rice cultivation (Aerobic irrigation).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2361602-rId24.jpeg?20250730035956" />
     </fig>
     <fig id="fig1" position="float">
      <label>Figure 1</label>
      <caption>
       <title>(a)--(b)--(c)--Figure 1. (a) CH4 emission rate with different combinations of Vermicompost and NPKS during boro season rice cultivation (Conventional flooding); (b) CH4 emission rate with different combinations of Vermicompost, NPKs and PG during boro season rice cultivation (AWD); (c) CH4 emission rate with different combinations of Vermicompost, NPKS and Pcduring boro season rice cultivation (Aerobic irrigation).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2361602-rId25.jpeg?20250730035956" />
     </fig>
     <fig id="fig1" position="float">
      <label>Figure 1</label>
      <caption>
       <title>(a)--(b)--(c)--Figure 1. (a) CH4 emission rate with different combinations of Vermicompost and NPKS during boro season rice cultivation (Conventional flooding); (b) CH4 emission rate with different combinations of Vermicompost, NPKs and PG during boro season rice cultivation (AWD); (c) CH4 emission rate with different combinations of Vermicompost, NPKS and Pcduring boro season rice cultivation (Aerobic irrigation).</title>
      </caption>
      <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2361602-rId26.jpeg?20250730035956" />
     </fig>
    </fig-group>
   </sec>
   <sec id="s3_2">
    <title>3.2. Cumulative CH<sub>4</sub> Flux for Irrigated Boro Rice Cultivation</title>
    <p>In this study, maximum cumulative CH<sub>4</sub> flux was observed under conventional irrigation; however, AWD and aerobic irrigation practices significantly reduced the cumulative CH<sub>4</sub> flux for irrigated boro rice cultivation (<xref ref-type="table" rid="table1">
      Table 1
     </xref>). At Mohadebpur, Naogaon experimental field, the highest cumulative CH<sub>4</sub> emission was calculated 221 kg∙ha<sup>−</sup><sup>1</sup>∙season<sup>−</sup><sup>1</sup> in vermicompost (VC 2.5 t∙ha<sup>−</sup><sup>1</sup>) amended field plot (NPKS 100% RFD + phospho-gypsum 1.0 t∙ha<sup>−</sup><sup>1</sup>) under conventional irrigation; this decreased to 178.0 kg∙ha<sup>−</sup><sup>1</sup> and 170.0 kg∙ha<sup>−</sup><sup>1</sup> under AWD and aerobic irrigation practices, respectively. The increasing levels of vermicompost amendments 7.5 - 10.0 t∙ha<sup>−</sup><sup>1</sup> and PG 2.0 - 2.5 t∙ha<sup>−</sup><sup>1</sup> decreased cumulative CH<sub>4</sub> emissions by 11% - 17%, 13% - 23% and 13% - 21.7% under conventional irrigation, AWD and aerobic irrigation practices compared to Vermicompost (2.5 t∙ha<sup>−</sup><sup>1</sup>) amendments with NPKS 100% plus phospho-gypsum (1.0 t/ha). At Nachole, Chapainawabganj district experimental site, the highest cumulative CH<sub>4</sub> was found 195.80 kg∙ha<sup>−</sup><sup>1</sup>∙season<sup>−</sup><sup>1</sup> (T2: NPKS 100% + Vermicompost 2.5 t∙ha<sup>−</sup><sup>1</sup> + phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup>), followed by 172.20 (VC 7.5 t∙ha<sup>−</sup><sup>1</sup> with N (50% of recommended dose) and 152.40 kg∙ha<sup>−</sup><sup>1</sup>∙season<sup>−</sup><sup>1</sup> with VC 10.0 t∙ha<sup>−</sup><sup>1</sup> with N (25% of recommended dose) under conventional irrigated field plots. For AWD and aerobic irrigation practices, the seasonal cumulative CH<sub>4</sub> emissions were decreased by 16% - 23.0% and 13% - 21.0% with VC 7.5 - 10.0 t/ha amendments compared to VC 2.5 t/ha application along with chemical fertilizers (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Rice Grain Yield during Boro Rice Cultivation</title>
    <p>Rice grain yield was significantly influenced by irrigation practices and soil amendments. Rice grain yield was significantly increased by AWD irrigation practices compared to conventional and aerobic irrigation practices. At Mohadebpur, the highest grain yield 6530 kg∙ha<sup>−</sup><sup>1</sup> was recorded with 10.0 t/ha vermicompost, followed by 6450 kg∙ha<sup>−</sup><sup>1</sup> and 6070 kg∙ha<sup>−</sup><sup>1</sup> with 7.5 t/ha and 2.5 t/ha vermicompost amendments along with chemical fertilizers under conventional irrigation (<xref ref-type="table" rid="table1">
      Table 1
     </xref>). Alternate wetting and drying (AWD) irrigation revealed the highest grain yield 6800 kg∙ha<sup>−</sup><sup>1</sup> with 10.0 t/ha vermicompost amendment, followed by 6680 kg∙ha<sup>−</sup><sup>1</sup> and 6200 kg∙ha<sup>−</sup><sup>1</sup> with 7.5 t/ha and 2.5 t/ha vermicompost amendments. In aerobic irrigation practice, the highest grain yield was found 5650 kg∙ha<sup>−</sup><sup>1</sup> at 10.0 t/ha VC application, followed by 5570 kg∙ha<sup>−</sup><sup>1</sup> and 5180 kg∙ha<sup>−</sup><sup>1</sup> with 7.5 t/ha and 2.5 t/ha VC amendments, respectively.</p>
    <p>At Nachole experimental site, rice grain yield was significantly increased by AWD and aerobic irrigation practices. AWD irrigation revealed the highest grain yield, 6850 kg∙ha<sup>−</sup><sup>1</sup> followed by 6700 kg∙ha<sup>−</sup><sup>1</sup> and 6300 kg∙ha<sup>−</sup><sup>1</sup> were recorded with 10 t/ha VC, 7.5 t/ha VC, and 2.5 t/ha VC applications, respectively. In aerobic irrigation, the highest grain yield 5460 kg∙ha<sup>−</sup><sup>1</sup> was found with 10.0 t/ha VC application, followed by 5380 kg∙ha<sup>−</sup><sup>1</sup> with 7.5 t/ha VC amendment and 5060 kg∙ha<sup>−</sup><sup>1</sup> with 2.5 t/ha VC application. In conventional irrigation, the highest grain yield, 6430 kg∙ha<sup>−</sup><sup>1</sup> was found with 10.0 t/ha VC application, followed by 6350 kg∙ha<sup>−</sup><sup>1</sup> with 7.5 t/ha VC and 5960 kg∙ha<sup>−</sup><sup>1</sup> with 2.5 t/ha VC application. The lower grain yield in conventional irrigated field compared to AWD irrigation may be due to waterlogged conditions throughout the growing season, which affected rice yield components and grain yield (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Yield Scaled CH<sub>4</sub> Emission (GHGI) during Boro Rice Cultivation</title>
    <p>At Mohadebpur experimental site, the yield scaled CH<sub>4</sub> emission (GHGI) was significantly decreased with AWDI and aerobic irrigation practices compared to conventional irrigation practices. The highest yield scaled CH<sub>4</sub> emission (GHGI) from the conventional irrigated field plot was found 0.037 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> (in T2), followed by 0.029 (T3) and 0.027 kg CH<sub>4</sub>∙ha<sup>−</sup><sup>1</sup> (T4). In regards to AWD irrigation, the yield scaled CH<sub>4</sub> emission (GHGI) 0.028 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> yield was found with 2.5 t∙ha<sup>−</sup><sup>1</sup> VC amendments (NPKS 100% + Phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup>), followed by 0.023 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> yield and 0.020 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> yield) with VC amendments 7.5 - 10.0 t/ha. In case of aerobic irrigation, the highest yield scaled CH<sub>4</sub> emission was recorded 0.033 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> yield followed by 0.027 and 0.026 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> yield. At Nachole experimental site, the highest yield scaled CH<sub>4</sub> emission (GHGI) from the continuous irrigated plot was found in 0.032 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> (T2), followed by 0.027 and 0.025 kg∙ha<sup>−</sup><sup>1</sup>. Conversely, under AWD treatment, the highest scaled CH<sub>4</sub> emission (GHGI) was recorded 0.025 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup>) with VC amendment 2.5 t/ha followed by 0.020 and 0.019 kg CH<sub>4</sub>∙kg<sup>−</sup><sup>1</sup> yield. In general, AWD and aerobic irrigation practices reduced yield scaled CH<sub>4</sub> emissions (GHGI) significantly than that of conventional irrigated field plots (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
   </sec>
   <sec id="s3_5">
    <title>3.5. GWPs during Boro Rice Cultivation</title>
    <p>The GWPs decreased significantly with AWDI and aerobic irrigation practice treatments compared to conventional irrigation practices. At Mohadebpur experimental site, the highest GWPs value 5425 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> was found in conventional irrigated field with 2.5 t∙ha<sup>−</sup><sup>1</sup> VC amendments (NPKS 100% RFD + Phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup>), which decreased significantly under AWD and aerobic irrigations. The maximum decrease in GWPs were obtained by 20% - 25% and 22% - 27% with 10.0 t∙ha<sup>−</sup><sup>1</sup> Vermicompost amendments (plus phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup> + 25% recommended N/ha + recommended PKS/ha) for AWD and aerobic irrigations, respectively.</p>
    <p>At Nachole experimental site, the highest GWPs 4875 kg CO<sub>2</sub>-eq∙ha<sup>−</sup><sup>1</sup> was observed in conventional irrigated field plot with VC amendment 2.5 t/ha (T<sub>2</sub>) followed by 4305 and 3810 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> in VC amendment 7.5 t/ha (T3) and VC 10.0 t/ha amendment (T4). In case of AWD irrigation, the highest GWPs was found 4000 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> in VC amendment 2.5 t/ha (T<sub>2</sub>) followed by 3365 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> (T3) and 3085 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> T<sub>4</sub>. Under aerobic irrigation treatments, the lowest GWP 3025 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> was noticed in VC amended (10 t/ha) field plot (T<sub>4</sub>) followed 3695 and 3315 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup>. In general, higher GWPs were found in conventional irrigated field plots compared to AWD and aerobic irrigations.</p>
   </sec>
   <sec id="s3_6">
    <title>3.6. Irrigation Water Savings, Water Productivity and Irrigation Cost Effectiveness for Boro Rice Cultivation</title>
    <p>At Mohadebpur experimental site, during boro rice cultivation, the required irrigation frequency was 16, average total volume of water was 30,807 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup>, average cost for irrigation was 15,100 Tk∙ha<sup>−</sup><sup>1</sup> under conventional irrigation. In case of alternate wetting and drying (AWD), the irrigation frequency was 12, average total water volume was 22,800 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup>, average cost for irrigation was 11,850 Tk∙ha<sup>−</sup><sup>1</sup>, average water savings was 26.0% and the average irrigation cost saving was calculated as 3250 Tk∙ha<sup>−</sup><sup>1</sup>. For aerobic irrigation practice, the required irrigation frequency was 8, average total water volume was 18,838 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup>, average cost for irrigation was 9825 Tk∙ha<sup>−</sup><sup>1</sup>, average water saving was 39.0% and the average irrigation cost saving was 5275 Tk∙ha<sup>−</sup><sup>1</sup> (<xref ref-type="table" rid="table1">
      Table 1
     </xref>). At Nachole experimental site, the required no. of irrigation was recorded as 16, average water volume was 29,500 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup>, average cost for irrigation was 14,168 Tk∙ha<sup>−</sup><sup>1</sup> under conventional irrigation. For AWD irrigation, the required no. of irrigation was 12, the average water volume was 22,275 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup>, the average cost for irrigation was 11,775 Tk∙ha<sup>−</sup><sup>1</sup>; average irrigation water savings was recorded 24.5%; and the average cost savings for irrigation was 3050 Tk∙ha<sup>−</sup><sup>1</sup>. In case of aerobic irrigation, the required number of irrigation was recorded 8, average water volume was 18,600 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup>, average cost for irrigation was 9750 Tk∙ha<sup>−</sup><sup>1</sup>, average irrigation water savings was 37.0% and the average cost savings for irrigation was 5075 Tk∙ha<sup>−</sup><sup>1</sup> (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
    <p>Water productivity value (WP) was increased with AWD and aerobic irrigation practices compared to conventional irrigated field plots at both locations. In addition, increasing levels of vermicompost amendments 7.5 - 10 t/ha also influenced towards higher grain yield and ultimately maximized water productivity. Alternate wetting and drying (AWD) irrigation revealed maximum water productivity value 0.270 - 0.297 kg∙m<sup>−</sup><sup>3</sup> and 0.295 - 0.297 kg∙m<sup>−</sup><sup>3</sup> with vermicompost amendments 7.5 - 10 t/ha at Mohadebpur and Nachole experimental field rice cultivation. Conversely, under aerobic irrigation practice, higher WPI value were recorded 0.285 - 0.295 kg∙m<sup>−</sup><sup>3</sup> and 0.288 - 0.291 kg∙m<sup>−</sup><sup>3</sup> with vermicompost 7.5 - 10 t/ha amendments compared to other field plots at both locations. In general, AWD and aerobic irrigation practices significantly increased the WPI with vermicompost 7.5 - 10 t/ha amendments (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
   </sec>
   <sec id="s3_7">
    <title>3.7. Soil Properties during Rice Cultivation and after Rice Harvest</title>
    <p>Soil amendments with vermicompost and phosphogypsum increased soil porosity, SOC, T-N, soil pH, available phosphate, available sulfate, available silicate (SiO<sub>2</sub>), and soluble iron oxides in the post-harvest soils (<xref ref-type="table" rid="table2">
      Table 2
     </xref>). Comparatively higher soil porosity was observed in AWD and aerobic irrigated field plots amended with higher levels of vermicompost compared to conventional irrigation. Maximum soil porosity 54.5% - 56.7% and 54% - 55% were recorded with VC 10 t/ha plus PG 2.5 t/ha amendments under AWD and aerobic irrigation practices, respectively.</p>
    <p>After rice harvest, the soil organic carbon contents were found to be 1.15% - 1.43%, 1.27% - 1.65% and 1.30% - 1.68% in conventional irrigation, AWD and aerobic irrigation practices, respectively (<xref ref-type="table" rid="table2">
      Table 2
     </xref>). Comparatively, higher soil organic carbon contents were found in vermicompost (7.5 t∙ha<sup>−</sup><sup>1</sup> - 10 t∙ha<sup>−</sup><sup>1</sup>) amended field plots under AWD and aerobic irrigated conditions. Total N contents also varied in post-harvest soil. The highest N content (0.19%) was found in Vermicompost amended soil (10 t∙ha<sup>−</sup><sup>1</sup> with phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup>) under AWD and aerobic irrigation practices, while the lowest N was detected (0.11%) in recommended fertilizer (NPKS 100%) applied field soil under conventional irrigation. The available P (23.5 - 31.5 ppm) and SiO<sub>2</sub> (67.5 - 71.3 ppm) contents increased significantly with increasing levels of vermicompost applications under AWD and aerobic irrigations. In addition, higher water soluble sulfate (27.5 - 35.5 ppm) and total dissolved iron contents (10.5 - 13.6 ppm) were detected in the VC 10.0 t/ha and PG 2.5t/ha amended field plots under AWD and aerobic irrigations</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.144485-"></xref>Table 1. Effect of irrigation practices and soil amendments on rice yield, cumulative CH<sub>4</sub> flux, yield scaled CH<sub>4</sub> emission, GWPs and WPI for Boro rice cultivation at two locations of Barind Tract area.</title>
     </caption>
    </table-wrap>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.144485-"></xref>Table 2. Influence of soil amendments on postharvest soil properties under different irrigation practices.<p class="imgGroupCss_v"><img class=" imgMarkCss lazy" data-original="https://html.scirp.org/file/2361602-rId28.jpeg?20250730040003" /></p>compared to standard fertilized with VC 2.5 t/ha and PG 1.0 t/ha amended plots under conventional irrigation.3.8. Soil Redox Potential (Soil Eh)Soil redox status significantly varied under different irrigation practices. Soil amendments with Vermicompost and PG influenced to some extent the oxidation reduction status and the decomposition of organic matter, thereby formation of organic acids and hydrogen, finally CO<sub>2</sub> and CH<sub>4</sub> production rate. Comparatively more intensive reduced conditions (Eh value −100 to −230 mV) were developed at active tillering to panicle initiation stage in conventional irrigation than that of Eh value recorded (Eh value −87 to −220 mV) under AWD and aerobic irrigations. A significant amount of CH<sub>4</sub> formed in paddy field was converted to CO<sub>2</sub> due to oxygen penetration in rice rhizosphere for AWD and aerobic irrigations. At ripening stage (before rice harvesting) soil redox condition was found less reductive (<xref ref-type="table" rid="table2">
        Table 2
       </xref>), which may be due to the cumulative effects of ferric iron oxide and sulfate ion (released from vermicompost and phosphogypsum), being acted as electron acceptors, thereby reduced CH<sub>4</sub> emission by stimulating CH<sub>4</sub> oxidation at rice rhizosphere.3.9. Correlation of CH<sub>4</sub> Emissions with Grain Yield, GWPs and Soil PropertiesTotal cumulative CH<sub>4</sub> flux showed negative correlations with grain yield, soil porosity, soil Eh, water soluble sulfate and iron oxides; while positive correlations were found with GWPs and SOC contents (<xref ref-type="table" rid="table3">
        Table 3
       </xref>), being supported by our previous research findings (<xref ref-type="bibr" rid="scirp.144485-23">
        Hiya et al., 2020
       </xref>).<xref ref-type="bibr" rid="scirp.144485-"></xref>Table 3. Correlation of seasonal cumulative CH<sub>4</sub> emissions with grain yield, GWPs and soil properties of selected field sites.
       <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
 
        <tr> 
  
         <td class="custom-bottom-td acenter" width="100.00%" colspan="8"><p style="text-align:center">Correlation coefficient (r)</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td rowspan="11" class="custom-top-td acenter" width="13.47%"><p style="text-align:center">Cumulative CH<sub>4</sub></p><p style="text-align:center">emissions</p></td> 
  
         <td rowspan="2" class="custom-top-td acenter" width="15.76%"><p style="text-align:center">Parameters</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="36.72%" colspan="3"><p style="text-align:center">Mohadebpur, Naogaon</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="34.06%" colspan="3"><p style="text-align:center">Nachole, Chapainawabganj</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="14.12%"><p style="text-align:center">Conventional irrigation</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="11.06%"><p style="text-align:center">AWD</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="11.54%"><p style="text-align:center">Aerobic</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="13.18%"><p style="text-align:center">Conventional irrigation</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="10.80%"><p style="text-align:center">AWD</p></td> 
  
         <td class="custom-bottom-td custom-top-td acenter" width="10.08%"><p style="text-align:center">Aerobic</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="custom-top-td aleft" width="15.76%"><p style="text-align:left">Grain yield</p></td> 
  
         <td class="custom-top-td acenter" width="14.12%"><p style="text-align:center">−0.168</p></td> 
  
         <td class="custom-top-td acenter" width="11.06%"><p style="text-align:center">−0.143</p></td> 
  
         <td class="custom-top-td acenter" width="11.54%"><p style="text-align:center">−0.153</p></td> 
  
         <td class="custom-top-td acenter" width="13.18%"><p style="text-align:center">−0.175</p></td> 
  
         <td class="custom-top-td acenter" width="10.80%"><p style="text-align:center">−0.136</p></td> 
  
         <td class="custom-top-td acenter" width="10.08%"><p style="text-align:center">−0.147</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">GWPs</p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">0.885***</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">0.879***</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">0.864***</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">0.878***</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">0.875***</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">0.868***</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Soil porosity</p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">−0.789***</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">−0.774**</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">−0.764**</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">−0.768**</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">−0.678**</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">−0.648**</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Soil organic carbon</p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">0.036</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">0.0436</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">0.0473</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">0.0485</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">0.0430</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">0.045</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Soil Eh</p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">−0.683**</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">−0.574*</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">−0.578**</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">−0.678**</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">−0.645**</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">−0.667**</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Available P</p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">−0.369</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">−0.388</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">−0.374</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">−0.464</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">−0.478</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">−0.487</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Available SiO<sub>2</sub></p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">−0.564*</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">−0.687**</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">−0.656**</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">−0.576*</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">−0.698**</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">−0.678**</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Soluble 
    
           <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
             <msubsup> 
              <mrow> 
               <mtext>
                 SO 
               </mtext> 
              </mrow> 
              <mn>
                4 
              </mn> 
              <mrow> 
               <mn>
                 2 
               </mn> 
               <mo>
                 − 
               </mo> 
              </mrow> 
             </msubsup> 
            </mrow>
    
           </math> </p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">−0.643**</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">−0.764**</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">−0.748**</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">−0.657**</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">−0.785**</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">−0.678**</p></td> 
 
        </tr> 
 
        <tr> 
  
         <td class="aleft" width="15.76%"><p style="text-align:left">Soluble Fe</p></td> 
  
         <td class="acenter" width="14.12%"><p style="text-align:center">−0.578*</p></td> 
  
         <td class="acenter" width="11.06%"><p style="text-align:center">−0.668**</p></td> 
  
         <td class="acenter" width="11.54%"><p style="text-align:center">−0.674**</p></td> 
  
         <td class="acenter" width="13.18%"><p style="text-align:center">−0.648**</p></td> 
  
         <td class="acenter" width="10.80%"><p style="text-align:center">−0.685**</p></td> 
  
         <td class="acenter" width="10.08%"><p style="text-align:center">−0.676**</p></td> 
 
        </tr>

       </table>4. Discussion</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2361602-rId27.jpeg?20250730040003" />
    </fig>
    <p>Bangladesh is one of the most climate change risk-vulnerable country. The country needs to produce more rice to meet up the food demand of the expanded population, where irrigated rice farming will play a major role. Although farmers generally prefer irrigated rice cultivation during dry boro season due to high production and yield performance of HYV rice genotypes, however, irrigated rice farming is a major source of CH<sub>4</sub> emission and high energy consumption, which eventually causes higher GWPs and cost of production. In fact, 20% - 30% of the rice production cost is incurred for irrigation only in case of irrigated rice, depending on soil type and mode of payment (<xref ref-type="bibr" rid="scirp.144485-2">
      Alam et al., 2009
     </xref>). It has been reported that about 79% of the total cultivated area in Bangladesh is irrigated by groundwater, whereas the remaining is irrigated by surface water (<xref ref-type="bibr" rid="scirp.144485-45">
      Qureshi et al., 2014
     </xref>). Unfortunately, the groundwater table became unstable and is declining due to climate change, thereby may affect badly on irrigated rice production badly. Considering the climate change and water crisis issues, efficient water-saving irrigation practices such as AWD and aerobic irrigation practices hold a vital role for sustainable water management and rice productivity. AWD is basically a water management system, which does not involve any extra investment, just using a perforated plastic pipe (PVC) or bamboo pipe, to measure the soil surface water layers. In this experiment, the total amount of irrigation water applied for boro season rice cultivation was estimated 29,500 - 30,800 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup> (two seasons’ average) under conventional irrigation system, which was reduced by 24.5% - 26.0% and 37% - 39.0% through the AWD and aerobic irrigation practices, respectively. The higher water requirement in conventional irrigation methods may be due to higher irrigation frequencies (16), seepage and runoff, and higher evapotranspiration compared to AWD (12) and aerobic irrigation (8) practices. <xref ref-type="bibr" rid="scirp.144485-23">
      Hiya et al. (2020)
     </xref> reported that the total volume of irrigation water applied for Boro rice cultivation at BAU Farm was 19,430 m<sup>3</sup>∙ha<sup>−</sup><sup>1</sup><sup>,</sup> which was decreased by 18.0, 16.0 and 13.0% through AWD irrigation at 20, 15 and 10 cm, respectively. It has been shown that one (01) ton of rice production requires approximately 2500 L of water with AWD; and 5000 L of water for conventional irrigation (<xref ref-type="bibr" rid="scirp.144485-10">
      Bouman, 2009
     </xref>). Furthermore, the maximum saving of irrigation water was found to be 50% (<xref ref-type="bibr" rid="scirp.144485-42">
      Peng et al., 2006
     </xref>) and 47% (<xref ref-type="bibr" rid="scirp.144485-41">
      Oo et al., 2018
     </xref>) with aerobic and AWD irrigation, respectively. It has also been reported that AWD irrigation practices increased rice production by 5% - 15%, while decreasing CH<sub>4</sub> emission by 40% - 70%, saving irrigation water 30% - 60% (<xref ref-type="bibr" rid="scirp.144485-60">
      J. Yang et al., 2016
     </xref>; <xref ref-type="bibr" rid="scirp.144485-34">
      Linquist, 2015
     </xref>), which may be due to periodic aerobic process and field dryness. It has also been reported that AWD irrigation reduces CH<sub>4</sub> emissions by 34% - 42% in paddy soils during the drying period (<xref ref-type="bibr" rid="scirp.144485-62">
      Yang et al., 2025
     </xref>), while stimulating N<sub>2</sub>O emissions via nitrification (aerobic) (<xref ref-type="bibr" rid="scirp.144485-54">
      Tran et al., 2018
     </xref>) and denitrification (anaerobic) processes.</p>
    <p>The irrigation water application cost was calculated 14,825 - 15,100 Tk∙ha<sup>−</sup><sup>1</sup> for conventional irrigation systems, which was decreased to 11,775 - 11,850 Tk∙ha<sup>−</sup><sup>1</sup>, and 9750 - 9825 Tk∙ha<sup>−</sup><sup>1</sup> for AWD and aerobic irrigation systems, respectively. <xref ref-type="bibr" rid="scirp.144485-46">
      Rahaman et al. (2022)
     </xref> reported that irrigation cost for boro rice (medium high land) cultivation was 11,226 Tk/ha, which was higher than that low lying main haor areas rice cultivation. <xref ref-type="bibr" rid="scirp.144485-30">
      Kashem and Rahman (2018)
     </xref> reported that irrigation cost for boro rice cultivation in Rajshahi region was Tk. 5178/ha through prepaid irrigation programme, which was Tk. 10,963/ha for private irrigation programme.</p>
    <p>The experimental findings confirmed maximum rice yield under AWD irrigation method irrespective of soil amendments with vermicompost, phosphogypsum and NPKS fertilizers application in both locations. Considering the yield performance at both locations, AWD irrigation revealed higher rice grain yield by 4.0%, 4.5% and 5.3% compared to the grain yield performance in conventional irrigation amended with vermicompost at 2.5 t/ha plus PG 1.0 t/ha, 7.5 t/ha plus PG 2.0 t/ha and 10.0 t/ha plus PG 2.5 t/ha applications. This yield increment with vermicompost and phosphogypsum amendments following AWD irrigation could be due to improved soil redox status (Eh oxidative-reductive condition) and better soil porosity, which enhanced higher nutrients availability to rice plant, thereby contributing to maximum yield performance compared to other irrigation methods. Several studies have shown an increase in rice yield for AWDI and aerobic irrigation practices compared to conventional irrigation (<xref ref-type="bibr" rid="scirp.144485-64">
      Zhang et al., 2009
     </xref>; <xref ref-type="bibr" rid="scirp.144485-44">
      Qin et al., 2010
     </xref>; <xref ref-type="bibr" rid="scirp.144485-63">
      Ye et al., 2013
     </xref>; <xref ref-type="bibr" rid="scirp.144485-18">
      Chu et al., 2015
     </xref>; <xref ref-type="bibr" rid="scirp.144485-27">
      Islam, 2021
     </xref>). It has also been reported that aerobic rice needs 30% - 51% less total water for land preparation, 32–88% higher crop productivity, 50% saving on labor (<xref ref-type="bibr" rid="scirp.144485-57">
      Wang et al., 2002
     </xref>) and reduced GHG emission by 50% (<xref ref-type="bibr" rid="scirp.144485-58">
      Weller et al., 2016
     </xref>) compared to Puddled transplanting rice (<xref ref-type="bibr" rid="scirp.144485-13">
      Bouman et al., 2005
     </xref>). However, the lack of stable yield performance and dry direct-seeded adapted varieties for aerobic systems is a major limitation in achieving the maximum yield potential under water and resource-limited conditions. <xref ref-type="bibr" rid="scirp.144485-5">
      Ali et al. (2019)
     </xref> also reported that AWD irrigation showed better rice yield performance and reduced cumulative CH<sub>4</sub> emission, enhanced water savings and water productivity during the dry season boro rice cultivation in Bangladesh. It was also reported that moderate wetting and drying increased rice yield, decreased water use and CH<sub>4</sub> emissions (<xref ref-type="bibr" rid="scirp.144485-23">
      Hiya et al. 2020
     </xref>; <xref ref-type="bibr" rid="scirp.144485-60">
      Yang et al., 2016
     </xref>). <xref ref-type="bibr" rid="scirp.144485-1">
      Ahmad et al. (2014)
     </xref> mentioned that boro water productivity varies within 0.95 - 1.35 kg/m<sup>3</sup> in the north west region of Bangladesh. In our field experiments, water productivity (WP) value increased with AWD and aerobic irrigation practices compared to conventional irrigated field plots at both locations. Alternate wetting and drying (AWD) irrigation revealed maximum water productivity values of 0.270 - 0.297 kg∙m<sup>−</sup><sup>3</sup> and 0.277 - 0.295 kg∙m<sup>−</sup><sup>3</sup> with vermicompost amendments 2.5-7.5-10 t/ha at both experimental field rice cultivation. Conversely, under aerobic irrigation practice, higher WP values were recorded, 0.276 - 0.295 kg∙m<sup>−</sup><sup>3</sup> and 0.271 - 0.288 kg∙m<sup>−</sup><sup>3</sup> with vermicompost 7.5 - 10 t/ha amendments compared to other field plots at both locations. It has been reported that the water productivity of rice varied within 0.20 - 1.2 kg grain m<sup>−3</sup> water under safe AWD with the threshold of −15 cm (<xref ref-type="bibr" rid="scirp.144485-12">
      Bouman et al., 2007
     </xref>; <xref ref-type="bibr" rid="scirp.144485-32">
      Lampayan et al., 2004
     </xref>). Our water productivity value lies within the mentioned range, a bit low moderate productivity probably due to critical soil hydrological properties in the selected locations.</p>
    <p>In this study, the highest cumulative CH<sub>4</sub> emission 221 kg∙ha<sup>−</sup><sup>1</sup>∙season<sup>−</sup><sup>1</sup> was recorded in vermicompost (VC 2.5 t∙ha<sup>−</sup><sup>1</sup>) amended field plot (NPKS 100% RFD + PG 1.0 t∙ha<sup>−</sup><sup>1</sup>) under conventional irrigation; this decreased to 178.0 kg∙ha<sup>−</sup><sup>1</sup> and 170.0 kg∙ha<sup>−</sup><sup>1</sup> under AWD and aerobic irrigation practices, respectively. The increasing levels of vermicompost amendments 7.5 - 10.0 t∙ha<sup>−</sup><sup>1</sup> and PG 2.0 - 2.5 t∙ha<sup>−</sup><sup>1</sup> decreased cumulative CH<sub>4</sub> emissions by 11% - 17%, 13% - 23% and 13% - 21.7% under conventional irrigation, AWD and aerobic irrigation practices compared to Vermicompost (2.5 t∙ha<sup>−</sup><sup>1</sup>) amendments with NPKS 100% plus phospho-gypsum (1.0 t∙ha<sup>−1</sup>). The contents of water soluble 
     <math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> 
       <msubsup> 
        <mrow> 
         <mtext>
           SO 
         </mtext> 
        </mrow> 
        <mn>
          4 
        </mn> 
        <mrow> 
         <mn>
           2 
         </mn> 
         <mo>
           − 
         </mo> 
        </mrow> 
       </msubsup> 
      </mrow> 
     </math> and total dissolved Fe increased significantly in the selected experimental plots due to the higher application rates of vermicompost (7.5 - 10.0 t/ha) and phospho-gypsum (2.0 - 2.5 t/ha). The lower CH<sub>4</sub> emissions under AWD irrigations may be due to increased aeration (54.5% - 56.3% soil porosity), stabilization of soil organic carbon, improved soil redox potential status (−18.6 - 29.7 mv), accumulation of free iron oxides (9.3 - 13.7 ppm) and sulfate ions (27.5 - 33.6 ppm), which acted as electron acceptors, thereby, reduced methanogens’ activity and increased methane oxidation. Vermicompost application increased the availability of nitrogen in soil mostly in the form of nitrate relative to ammonium due to better soil aeration (<xref ref-type="bibr" rid="scirp.144485-15">
      Chatterjee et al., 2021
     </xref>), thereby improving soil redox status and eventually reducing CH<sub>4</sub> emissions. Other studies also revealed that AWD reduced cumulative CH₄ emissions by 32% (<xref ref-type="bibr" rid="scirp.144485-31">
      Lakshani et al., 2023
     </xref>), 29% (<xref ref-type="bibr" rid="scirp.144485-43">
      Pramono et al., 2024
     </xref>), 37% (<xref ref-type="bibr" rid="scirp.144485-37">
      Matsuda et al., 2023
     </xref>), 49% (<xref ref-type="bibr" rid="scirp.144485-17">
      Chidthaisong et al., 2018
     </xref>), 52% - 55% (<xref ref-type="bibr" rid="scirp.144485-9">
      Anapalli et al., 2023
     </xref>) and 77% (<xref ref-type="bibr" rid="scirp.144485-21">
      Echegaray-Cabrera et al., 2024
     </xref>) compared to continuous flooding. Phospho-gypsum is used in rice fields due to its low cost, easy availability and nutrient content, such as high content of Ca, Silicon dioxide (SiO<sub>2</sub>) and especially sulfate in gypsum, acting as electron acceptors, thereby increasing the activity of sulfate-reducing bacteria over methanogens for the common substrates (<xref ref-type="bibr" rid="scirp.144485-24">
      Hori et al., 1993
     </xref>). In our previous research trial in rice field, it has revealed that seasonal cumulative CH<sub>4</sub> flux was reduced by 25% - 27% and 32% - 38% under continuous and intermittent irrigations, respectively (<xref ref-type="bibr" rid="scirp.144485-6">
      Ali et al., 2009
     </xref>). It has also been reported that intermittent irrigations significantly reduced total seasonal CH<sub>4</sub> emissions by 27% compared to conventional (124 kg CH<sub>4</sub>/ha) irrigated rice paddy field (<xref ref-type="bibr" rid="scirp.144485-4">
      Ali et al. 2013
     </xref>). Soil amendments with vermicompost and phosphogypsum in combination with chemical fertilizers increased soil organic C and total N, enhanced soluble sulfate and total dissolved iron Fe contents, thereby reducing cumulative CH<sub>4</sub> emissions in rice field, which is supported by our previous research findings (<xref ref-type="bibr" rid="scirp.144485-6">
      Ali et al., 2009
     </xref>). It has also been reported that dry seasonal cumulative CH<sub>4</sub> emissions were decreased by 14.7%, 18.9% and 24.8% with biochar amendments at 15 t/ha, 20 t/ha and 30 t/ha respectively under conventional irrigation; while cumulative CH<sub>4</sub> emissions were reduced by 10.6%, 26% and 41.6% respectively, under AWD irrigation system (<xref ref-type="bibr" rid="scirp.144485-3">
      Ali et al., 2021
     </xref>).</p>
    <p>In our experimental sites, the maximum GWPs value 4875 - 5425 kg CO<sub>2</sub>-eq∙ha<sup>−1</sup> was found in conventional irrigated field with 2.5 t∙ha<sup>−</sup><sup>1</sup> VC amendments (NPKS 100% RFD + Phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup>), which decreased significantly under AWD and aerobic irrigations. The maximum decrease in GWPs were obtained by 21.8% - 25% and 22% - 27% with 10.0 t∙ha<sup>−</sup><sup>1</sup> Vermicompost amendments (plus phospho-gypsum 2.5 t∙ha<sup>−</sup><sup>1</sup> + 25% recommended N/ha + recommended PKS/ha) for AWD and aerobic irrigations, respectively. <xref ref-type="bibr" rid="scirp.144485-54">
      Tran et al. (2018)
     </xref> also reported that global warming potentials (GWPs) of CH<sub>4</sub> and N<sub>2</sub>O under AWDs were 26-29% lower than those under continuous flooding in Central Vietnam. AWD irrigation decreased total GWPs by 34% - 64% to those of continuous flooding in paddy fields of Central Taiwan region (<xref ref-type="bibr" rid="scirp.144485-62">
      Yang et al., 2025
     </xref>).</p>
    <p>In this study, seasonal cumulative CH<sub>4</sub> emissions were found positively correlated with GWPs and SOC, while negative correlations were recorded with grain yield, soil porosity, soil Eh, available P, available SiO<sub>2</sub>, water soluble sulfate and iron oxides; being supported by <xref ref-type="bibr" rid="scirp.144485-23">
      Hiya et al. (2020)
     </xref>. <xref ref-type="bibr" rid="scirp.144485-20">
      Van Der Gon et al. (2002)
     </xref> also reported that rice grain yield was negatively correlated with seasonal CH<sub>4</sub> flux. The increased grain yield, water productivity, irrigation water volume and cost savings, mitigating cumulative CH<sub>4</sub> flux as well as GWPs may positively inspire rice growers to adopt AWD irrigation technique. At the same time, the Govt. Policy makers, Govt. Organizations and NGO should strengthen their coordination and linkage to implement the water savings AWD and aerobic irrigation technique for sustainable rice farming at other agro-ecological zones of the country and disseminate this water-saving AWD technology in other rice-growing countries.</p>
   </sec>
  </sec><sec id="s4">
   <title>5. Conclusion</title>
   <p>The findings from the field experiments confirmed that Vermicompost (7.5 - 10 t/ha) with Phosphogypsum (2.0 - 2.5 t/ha) amendments and reduced application (50% - 25% of the recommended dose) Nitrogen fertilizer maximized grain yield 6680 - 6800 kg∙ha<sup>−1</sup> under alternate wetting and drying (AWD). In addition, AWD and aerobic irrigation techniques saved total water inputs 24% and 37%, respectively, reduced irrigation cost Tk. 3500/ha for AWD and 5500/ha for aerobic irrigation compared to conventional irrigation. The GWPs were decreased by 34% - 36% and 37% - 39%, while increased grain yield by 4% - 5.0% compared to continuous flooding, depending on soil characteristics such as moisture contents, soil temperature, soil redox status, degree of soil dryness, rice crop duration, and growth stage. Above all, AWD and aerobic irrigation practices are feasible in terms of reducing GHGs emission and GWPs, sustaining water productivity and water savings during dry-season rice cultivation in the drought-prone Barind Tract areas of Bangladesh. Therefore, the Government and non-organizations should work in a collaborative way to implement environment-friendly AWD and aero-bic irrigation practices in a wider way at different agro-ecological regions of the country.</p>
  </sec><sec id="s5">
   <title>Recommendations</title>
   <p>Further experimental trials may be given in other agro-ecological regions of the country to evaluate the biophysical and economic suitability of irrigation practices along with inorganic and organic amendments for sustainable rice productivity.</p>
  </sec><sec id="s6">
   <title>Acknowledgements</title>
   <p>The authors are highly grateful to the Ministry of Science and Technology, Govt. of the People’s Republic of Bangladesh, for providing financial support by Bangabandhu Science and Technology Fellowship Trust (BSTFT) and also recognize the partial financial support from IRRI, Bangladesh, for conducting the study.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.144485-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ahmad, M. D., Kirby, M., Islam, M. S., Hossain, M. J.,&amp;Islam, M. M. (2014). Groundwater Use for Irrigation and Its Productivity: Status and Opportunities for Crop Intensification for Food Security in Bangladesh. Water Resources Management, 28, 1415-1429. &gt;https://doi.org/10.1007/s11269-014-0560-z
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Alam, M. S., Islam, M. S., Salam, M. A.,&amp;Islam, M. A. (2009). Economics of Alternate Wetting and Drying Method of Irrigation: Evidences from Farm Level Study. The Agriculturists, 7, 128-136.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ali, M. A., Hassan, M. R., Islam, Z. A., Barman, S. C., Khan, B., Khatun, R. et al. (2021). Development of Environment Friendly Paddy Ecosystem for Sustainable Rice Farming through Soil Amendments with Biochar and Alternate Wetting-Drying Irrigations. American Journal of Climate Change, 10, 581-596. &gt;https://doi.org/10.4236/ajcc.2021.104029
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ali, M. A., Hoque, M. A.,&amp;Kim, P. J. (2013). Mitigating Global Warming Potentials of Methane and Nitrous Oxide Gases from Rice Paddies under Different Irrigation Regimes. AMBIO, 42, 357-368. &gt;https://doi.org/10.1007/s13280-012-0349-3
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ali, M. A., Inubushi, K., Kim, P. J.,&amp;Amin, S. (2019). Management of Paddy Soil towards Low Greenhouse Gas Emissions and Sustainable Rice Production in the Changing Climatic Conditions. In D. Vázquez-Luna,&amp;M. del Carmen Cuevas-Díaz (Eds.), Soil Contamination and Alternatives for Sustainable Development. IntechOpen.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ali, M. A., Lee, C. H., Kim, S. Y.,&amp;Kim, P. J. (2009). Effect of Industrial By-Products Containing Electron Acceptors on Mitigating Methane Emission during Rice Cultivation. Waste Management, 29, 2759-2764. &gt;https://doi.org/10.1016/j.wasman.2009.05.018
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ali, M. A., Oh, J. H.,&amp;Kim, P. J. (2008). Evaluation of Silicate Iron Slag Amendment on Reducing Methane Emission from Flood Water Rice Farming. Agriculture, Ecosystems &amp; Environment, 128, 21-26. &gt;https://doi.org/10.1016/j.agee.2008.04.014
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Allison, L. E. (1965). Organic Carbon. In C. A. Black (Ed.), Methods of Soil Analysis Part II (pp. 1367-1378). American Society of Agronomy, Soil Science Society of America. &gt;https://doi.org/10.2134/agronmonogr9.2.c39
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Anapalli, S. S., Pinnamaneni, S. R., Reddy, K. N., Wagle, P.,&amp;Ashworth, A. J. (2023). Eddy Covariance Assessment of Alternate Wetting and Drying Floodwater Management on Rice Methane Emissions. Heliyon, 9, e14696. &gt;https://doi.org/10.1016/j.heliyon.2023.e14696
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bouman, B. A. M. (2009). How Much Water Does Rice Use. Rice Today, 8, 28-29.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bouman, B. A. M.,&amp;Tuong, T. P. (2001). Field Water Management to Save Water and Increase Its Productivity in Irrigated Lowland Rice. Agricultural Water Management, 49, 11-30. &gt;https://doi.org/10.1016/s0378-3774(00)00128-1
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bouman, B. A. M., Lampayan, R. M.,&amp;Tuong, T. P. (2007). Water Management in Irrigated Rice Coping with Water Scarcity (p. 54). International Rice Research Institute.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bouman, B. A. M., Peng, S., Castañeda, A. R.,&amp;Visperas, R. M. (2005). Yield and Water Use of Irrigated Tropical Aerobic Rice Systems. Agricultural Water Management, 74, 87-105. &gt;https://doi.org/10.1016/j.agwat.2004.11.007
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Brown, J. D.,&amp;Lilleland (1946). Rapid Determination of Potassium and Sodium in Plant Material and Soil Extracts by Flame Photometry. Proceeding of the American Society of Horticultural Sciences, 48, 341-346.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chatterjee, D., Dutta, S. K., Kikon, Z. J., Kuotsu, R., Sarkar, D., Satapathy, B. S. et al. (2021). Recycling of Agricultural Wastes to Vermicomposts: Characterization and Application for Clean and Quality Production of Green Bell Pepper (Capsicum annuum L.). Journal of Cleaner Production, 315, Article ID: 128115. &gt;https://doi.org/10.1016/j.jclepro.2021.128115
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cheng, H., Shu, K., Zhu, T., Wang, L., Liu, X., Cai, W. et al. (2022). Effects of Alternate Wetting and Drying Irrigation on Yield, Water and Nitrogen Use, and Greenhouse Gas Emissions in Rice Paddy Fields. Journal of Cleaner Production, 349, Article ID: 131487. &gt;https://doi.org/10.1016/j.jclepro.2022.131487
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chidthaisong, A., Cha-un, N., Rossopa, B., Buddaboon, C., Kunuthai, C., Sriphirom, P. et al. (2018). Evaluating the Effects of Alternate Wetting and Drying (AWD) on Methane and Nitrous Oxide Emissions from a Paddy Field in Thailand. Soil Science and Plant Nutrition, 64, 31-38. &gt;https://doi.org/10.1080/00380768.2017.1399044
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chu, G., Wang, Z., Zhang, H., Liu, L., Yang, J.,&amp;Zhang, J. (2015). Alternate Wetting and Moderate Drying Increases Rice Yield and Reduces Methane Emission in Paddy Field with Wheat Straw Residue Incorporation. Food and Energy Security, 4, 238-254. &gt;https://doi.org/10.1002/fes3.66
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Das, K.,&amp;Baruah, K. K. (2008). Methane Emission Associated with Anatomical and Morphophysiological Characteristics of Rice (Oryza sativa) Plant. Physiologia Plantarum, 134, 303-312. &gt;https://doi.org/10.1111/j.1399-3054.2008.01137.x
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Denier van der Gon, H. A. C., Kropff, M. J., van Breemen, N., Wassmann, R., Lantin, R. S., Aduna, E. et al. (2002). Optimizing Grain Yields Reduces CH
     <sub>4</sub> Emissions from Rice Paddy Fields. Proceedings of the National Academy of Sciences, 99, 12021-12024. &gt;https://doi.org/10.1073/pnas.192276599
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Echegaray-Cabrera, I., Cruz-Villacorta, L., Ramos-Fernández, L., Bonilla-Cordova, M., Heros-Aguilar, E.,&amp;Flores del Pino, L. (2024). Effect of Alternate Wetting and Drying on the Emission of Greenhouse Gases from Rice Fields on the Northern Coast of Peru. Agronomy, 14, Article No. 248. &gt;https://doi.org/10.3390/agronomy14020248
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     FAOSTAT (2015). Food and Agriculture Organization of the United Nations Statistics Division.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hiya, H. J., Ali, M. A., Baten, M. A.,&amp;Barman, S. C. (2020). Effect of Water Saving Irrigation Management Practices on Rice Productivity and Methane Emission from Paddy Field. Journal of Geoscience and Environment Protection, 8, 182-196. &gt;https://doi.org/10.4236/gep.2020.89011
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hori, Inubushi, K. K., Matsumoto, S.,&amp;Wada, H. (1993). Competition for Hydrogen between Methane Formation and Sulfate Reduction in the Paddy Soil. Japanese Journal of Soil Science and Plant Nutrition, 1, 572-572.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     IPCC (2007). IPCC Climate Change 2007: Synthesis Report Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (p. 104).
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     IRRI, International Rice Research Institute (2010).
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Islam, M. R. (2021). Barriers and Opportunities of Alternate Wetting and Drying (AWD) Irrigation System in Bangladesh: A Comparative Study among Major Rice Growing Countries. Journal of Rice Research, 9, Article ID: 1000255.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jaafar, M. N., Saad, P.,&amp;Vel Arjunan, S. N. (2000). A Computational Model for Water Use Efficiency in Rice Production. Jurnal Teknologi Maklumat, 12, 1-13.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kaplan, M. (2016). The National Master Plan for Agricultural Development in Suriname (p. 255). Final Report, Kaplan Planners Ltd.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kashem, M. A.,&amp;Rahman, M. Sq. (2018). Feasibility of Prepaid Irrigation at Rajshahi Region in Bangladesh. Technical Journal-River Research Institute, 14, 29-34.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lakshani, M. M. T., Deepagoda, T. K. K. C., Li, Y., Hansen, H. F. E., Elberling, B., Nissanka, S. P. et al. (2023). Impact of Water Management on Methane Emission Dynamics in Sri Lankan Paddy Ecosystems. Water, 15, Article No. 3715. &gt;https://doi.org/10.3390/w15213715
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lampayan, R. M., Bouman, B. A. M., de Dios, J. L. et al. (2004). Adoption of Water Saving Technologies in Rice Production in the Philippine (p. 15). Food and Fertiliser Technology Center Extension Bulletin 548.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lampayan, R. M., Bouman, B. A. M., Flor, R. J.,&amp;Palis, F. G. (2013). Developing and Disseminating Alternate Wetting and Drying Water Saving Technology in the Philippines. In A. Kumar (Ed.), Mitigating Water Shortage Challenges in Rice Cultivation: Aerobic and Alternate Wetting and Drying Rice Water Saving Technologies (pp. 90-107). Asian Development Bank.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Linquist, B. A., Anders, M. M., Adviento‐Borbe, M. A. A., Chaney, R. L., Nalley, L. L., da Rosa, E. F. F. et al. (2015). Reducing Greenhouse Gas Emissions, Water Use, and Grain Arsenic Levels in Rice Systems. Global Change Biology, 21, 407-417. &gt;https://doi.org/10.1111/gcb.12701
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, Y., Duan, M.,&amp;Yu, Z. (2013). Agricultural Landscapes and Biodiversity in China. Agriculture, Ecosystems &amp; Environment, 166, 46-54. &gt;https://doi.org/10.1016/j.agee.2011.05.009
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ma, J., Ji, Y., Zhang, G., Xu, H.,&amp;Yagi, K. (2013). Timing of Midseason Aeration to Reduce CH
     <sub>4</sub> and N
     <sub>2</sub>O Emissions from Double Rice Cultivation in China. Soil Science and Plant Nutrition, 59, 35-45. &gt;https://doi.org/10.1080/00380768.2012.730477
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Matsuda, S., Nakamura, K., Okano, T., Iwama, K.,&amp;Hama, T. (2023). Effect of Infiltration Rate on Methane Emission Properties in Pot-Cultured Rice under Alternate Wetting and Drying Irrigation. Irrigation and Drainage, 72, 284-292. &gt;https://doi.org/10.1002/ird.2756
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mosier, A. R., Halvorson, A. D., Reule, C. A.,&amp;Liu, X. J. (2006). Net Global Warming Potential and Greenhouse Gas Intensity in Irrigated Cropping Systems in Northeastern Colorado. Journal of Environmental Quality, 35, 1584-1598. &gt;https://doi.org/10.2134/jeq2005.0232 
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Nelson, D. W.,&amp;Sommers, L. E. (1980). Total Nitrogen Analysis of Soil and Plant Tissues. Journal of AOAC International, 63, 770-778. &gt;https://doi.org/10.1093/jaoac/63.4.770
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref40">
    <label>40</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Olsen, S. R.,&amp;Sommers, L. E. (1982). Phosphorus. In A. L. Page, et al. (Eds.), Methods of Soil Analysis: Part 2. Chemical and Microbiological Properties (2nd ed., pp. 403-430). ASA and SSSA.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref41">
    <label>41</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Oo, A. Z., Sudo, S., Inubushi, K., Mano, M., Yamamoto, A., Ono, K. et al. (2018). Methane and Nitrous Oxide Emissions from Conventional and Modified Rice Cultivation Systems in South India. Agriculture, Ecosystems &amp; Environment, 252, 148-158. &gt;https://doi.org/10.1016/j.agee.2017.10.014
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref42">
    <label>42</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Peng, S., Bouman, B., Visperas, R. M., Castañeda, A., Nie, L.,&amp;Park, H. (2006). Comparison between Aerobic and Flooded Rice in the Tropics: Agronomic Performance in an Eight-Season Experiment. Field Crops Research, 96, 252-259. &gt;https://doi.org/10.1016/j.fcr.2005.07.007
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref43">
    <label>43</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Pramono, A., Adriany, T. A., Al Viandari, N., Susilawati, H. L., Wihardjaka, A., Sutriadi, M. T. et al. (2024). Higher Rice Yield and Lower Greenhouse Gas Emissions with Cattle Manure Amendment Is Achieved by Alternate Wetting and Drying. Soil Science and Plant Nutrition, 70, 129-138. &gt;https://doi.org/10.1080/00380768.2023.2298775
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref44">
    <label>44</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Qin, Y., Liu, S., Guo, Y., Liu, Q.,&amp;Zou, J. (2010). Methane and Nitrous Oxide Emissions from Organic and Conventional Rice Cropping Systems in Southeast China. Biology and Fertility of Soils, 46, 825-834. &gt;https://doi.org/10.1007/s00374-010-0493-5
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref45">
    <label>45</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Qureshi, A. S., Ahmed, Z.,&amp;Krupnik, T. J. (2014). Groundwater Management in Bangladesh: An Analysis of Problems and Opportunities. Cereal Systems Initiative for South Asia Mechanization and Irrigation (CSISAMI) Project, Research Report No. 2, CIMMYT.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref46">
    <label>46</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rahaman, M. S., Sarkar, M. A. R., Rahman, M. C., Deb, L., Rashid, M. M., Reza, M. S. et al. (2022). Profitability Analysis of Paddy Production in Different Seasons in Bangladesh: Insights from the Haor. International Journal of Agriculture Environment and Food Sciences, 6, 327-339. &gt;https://doi.org/10.31015/jaefs.2022.3.1
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref47">
    <label>47</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rahman, M. M.,&amp;Masood, M. M. (2012). Aerobic System: A Potential Water Boro Rice Production Technology (pp. 1-16). Department of Agronomy, Bangladesh Agricultural University.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref48">
    <label>48</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rashid, M. H. (1997). Manual on Irrigation and Soil-Water Engineering. Joydebpur: Irrigation and Water Management Division, Bangladesh Agricultural Research Institute.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref49">
    <label>49</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Reza, A. H.,&amp;Mazumder, Q. H. (2005). Evaluation of Hydrogeological Conditions of Sapahar and Porsha Upazillas, Barind Tract, Bangladesh. Journal of Life Earth Science, 1, 15-20.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref50">
    <label>50</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rolston, D. E. (1986). Gas Flux. In A. Klute (Ed.), Methods of Soil Analysis, Part 1: Physical and Mineralogical Methods (2nd ed., pp. 1103-1119). Wiley. &gt;https://doi.org/10.2136/sssabookser5.1.2ed.c47
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref51">
    <label>51</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     SAIC (SAARC Agriculture Information Centre) (2007). IRRI Develops Technology for Producing Irrigated Rice with Less Water. SAIC Newsletter, 17, 4-6.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref52">
    <label>52</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Singh, S. (1999). Methane Flux from Irrigated Rice Fields in Relation to Crop Growth and N-fertilization. Soil Biology and Biochemistry, 31, 1219-1228. &gt;https://doi.org/10.1016/s0038-0717(99)00027-9 
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref53">
    <label>53</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sudhir-Yadav, Humphreys, E., Kukal, S. S., Gill, G.,&amp;Rangarajan, R. (2011). Effect of Water Management on Dry Seeded and Puddled Transplanted Rice. Field Crops Research, 120, 123-132. &gt;https://doi.org/10.1016/j.fcr.2010.09.003
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref54">
    <label>54</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tran, D. H., Hoang, T. N., Tokida, T., Tirol-Padre, A.,&amp;Minamikawa, K. (2018). Impacts of Alternate Wetting and Drying on Greenhouse Gas Emission from Paddy Field in Central Vietnam. Soil Science and Plant Nutrition, 64, 14-22. &gt;https://doi.org/10.1080/00380768.2017.1409601
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref55">
    <label>55</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tuong, T. P.,&amp;Bouman, B. A. M. (2003). Rice Production in Water-Scarce Environments-Water Productivity in Agriculture: Limits and Opportunities for Improvement (pp. 13-42). International Rice Research Institute.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref56">
    <label>56</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     United Nations, Department of Economic and Social Affairs, Population Division (2015). World Population Prospects: The 2015 Revision. (Medium Variant).
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref57">
    <label>57</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, H., Bouman, B. A. M., Zhao, D., Wang, C.,&amp;Moya, P. P. (2002). Aerobic Rice in Northern China—Opportunities and Challenges. In B. A. M. Bouman Hengsdijk, et al. (Eds.), Water-Wise Rice Production (pp. 143-154). International Rice Research Institute.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref58">
    <label>58</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Weller, S., Janz, B., Jörg, L., Kraus, D., Racela, H. S. U., Wassmann, R. et al. (2016). Greenhouse Gas Emissions and Global Warming Potential of Traditional and Diversified Tropical Rice Rotation Systems. Global Change Biology, 22, 432-448. &gt;https://doi.org/10.1111/gcb.13099
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref59">
    <label>59</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Win, E. P., Win, K. K., Bellingrath-Kimura, S. D.,&amp;Oo, A. Z. (2020). Greenhouse Gas Emissions, Grain Yield and Water Productivity: A Paddy Rice Field Case Study Based in Myanmar. Greenhouse Gases: Science and Technology, 10, 884-897. &gt;https://doi.org/10.1002/ghg.2011
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref60">
    <label>60</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yang, J. C., Zhou, Q.,&amp;Zhang, J. H. (2016). Moderate Wetting and Drying Increases Rice Yield and Reduces Water Use, Grain Arsenic Level, and Methane Emission. Crop Science Society of China and Institute of Crop Science, CAAS. &gt;http://creativecommons.org/licenses/by-nc-nd/4.0/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref61">
    <label>61</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yang, X., Wang, B., Wang, B., Zhang, Z., Zhang, Z., Yang, L., Cheng, J.,&amp;Li, Y. (2023). Effects of Different Water Management on Yield and Rice Quality of Dry-Seeded Rice. Chinese Journal of Rice Science, 37, 285-294.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref62">
    <label>62</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yang, X.-C., Huang, M.-Y., Chen, C.-I., Lin, C.-H., Huang, W.-H., Lee, L.-H.,&amp;Wang, C.-W. (2025). Assessing the Benefits of Alternating Wet and Dry (AWD) Irrigation of Rice Fields on Greenhouse Gas Emissions in Central Taiwan Region.
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref63">
    <label>63</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ye, Y., Liang, X., Chen, Y., Liu, J., Gu, J., Guo, R. et al. (2013). Alternate Wetting and Drying Irrigation and Controlled-Release Nitrogen Fertilizer in Late-Season Rice. Effects on Dry Matter Accumulation, Yield, Water and Nitrogen Use. Field Crops Research, 144, 212-224. &gt;https://doi.org/10.1016/j.fcr.2012.12.003
    </mixed-citation>
   </ref>
   <ref id="scirp.144485-ref64">
    <label>64</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhang, H., Xue, Y., Wang, Z., Yang, J.,&amp;Zhang, J. (2009). An Alternate Wetting and Moderate Soil Drying Regime Improves Root and Shoot Growth in Rice. Crop Science, 49, 2246-2260. &gt;https://doi.org/10.2135/cropsci2009.02.0099
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>