<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN"
  "https://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink"
         xmlns:mml="http://www.w3.org/1998/Math/MathML"
         article-type="research-article"
         dtd-version="1.2">

  <front>

    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJA</journal-id>
      <journal-title-group>
        <journal-title>Indian Journal of Agroforestry</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Indian Journal of Agroforestry</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2456-6489</issn>
      <publisher>
        <publisher-name>ACS Publisher</publisher-name>
        <publisher-loc>India</publisher-loc>
      </publisher>
    </journal-meta>

    <article-meta>

      <article-id pub-id-type="doi">10.48165/ija.2026.28.02.07</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>

      <title-group>
        <article-title>Assessment of Tree Biomass and Carbon Sequestration Potential of Pongamia Pinnata (L.) Pierre Clones Under an Agroforestry System</article-title>
      </title-group>

      <contrib-group>

        <contrib contrib-type="author" corresp="yes" id="AU1">
          <name>
            <surname>Hanumanthappa</surname>
            <given-names>D C</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
          <xref ref-type="corresp" rid="COR1"><sup>*</sup></xref>
        </contrib>

        <contrib contrib-type="author" id="AU2">
          <name>
            <surname>Uday Kumar</surname>
            <given-names>S  N</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
        </contrib>

        <contrib contrib-type="author" id="AU3">
          <name>
            <surname>Veeranagappa</surname>
            <given-names>P</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
        </contrib>

        <contrib contrib-type="author" id="AU4">
          <name>
            <surname>Manjunatha</surname>
            <given-names>G  R</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
        </contrib>

        <contrib contrib-type="author" id="AU5">
          <name>
            <surname>Ravi</surname>
            <given-names>A  R</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
        </contrib>

        <contrib contrib-type="author" id="AU6">
          <name>
            <surname>Handa</surname>
            <given-names>A  K</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
        </contrib>

      </contrib-group>

      <aff id="aff1">
        <label>1</label>
        <institution>AICRP on Agroforestry, UAS, Bangalore, Karnataka - 560065</institution>
      </aff>

      <author-notes>
        <corresp id="COR1">
          <label>*</label>
          E-mail: <email>uasb.agroforestry@gmail.com</email>
        </corresp>
      </author-notes>

      <pub-date pub-type="epub">
        <year>2026</year>
      </pub-date>

      <volume>28</volume>
      <issue>2</issue>
      <fpage>62</fpage>
      <lpage>69</lpage>
      <issue-title>April - June 2026</issue-title>

      <history>
        <date date-type="received">
          <day>11</day>
          <month>5</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>7</day>
          <month>6</month>
          <year>2026</year>
        </date>
      </history>

      <permissions>
        <copyright-year>2026</copyright-year>
        <copyright-holder>ACS Publisher Journal</copyright-holder>
      </permissions>

      <abstract>
        <p>Global warming driven by rising atmospheric CO₂ has intensified the need for effective carbon sequestration strategies, where trees like Pongamia pinnata play a vital role due to higher biomass production, nitrogen-fixing ability, and soil restoration potential. The study was conducted at UAS, Bengaluru to evaluate the growth performance, biomass production, and carbon sequestration potential of Pongamia clones. The experiment comprised eight pongamia clones, planted at 5 m × 5 m spacing in a randomised block design (RBD) with three replications. Growth parameters, including tree height, diameter at breast height (DBH) and canopy spread were recorded periodically from 2020 to 2026. After six years of planting, RAK-2015-10 consistently performing better in tree height (4.98 m) and DBH (14.25 cm). Maximum canopy spread is noticed in RAK-2015-01 (4.63 m N-S and 4.31 m E-W). Carbon sequestration potential of pongamia clones varied significantly based on growth and biomass production. In the first year, RAK-2015-01 recorded the highest volume, total biomass and carbon sequestration (7.41 m3, 7.66 t ha⁻¹ &amp; 14.04 t ha⁻¹). From the 2nd to 6th year, RAK-2015-10 consistently showed the highest volume and carbon sequestration potential, reaching 40.43 m3 and 76.58 t ha⁻¹. RAK-2015-07 exhibited the lowest and non-significant carbon sequestration throughout the study period. RAK-2015-10 pongamia clone significantly enhanced biomass production and carbon sequestration, making it a viable strategy for climate change mitigation under agroforestry systems in the study area.</p>
      </abstract>

      <kwd-group kwd-group-type="author">
        <title>Keywords</title>
        <kwd>Climate change</kwd>
        <kwd>Clones</kwd>
        <kwd>Pongamia</kwd>
        <kwd>Biomass and Carbon sequestration</kwd>
      </kwd-group>

      <funding-group>
        <funding-statement>No specific funding was received for this study.</funding-statement>
      </funding-group>

    </article-meta>
  </front>

  <body>

    <sec id="S1">
      <title>Introduction</title>
      <p>Global warming is becoming more certain and concerning than ever<bold>.</bold> Increased CO₂ levels from 280 ppm in pre-industrial to 420-425 ppm in recent years were a major driving factor for increased global warming <bold>(<xref ref-type="bibr" rid="R4">Choudhary <italic>et al</italic>., 2025</xref>). One-third of the world's land surface is covered by forest and serves as a major carbon sink on Earth. The amount of carbon sequestered and stored in forests varies greatly with factors such as forest type, net primary production, age and overall composition <bold>(<xref ref-type="bibr" rid="R8">He <italic>et al</italic>., 2022</xref>).</bold> Soil carbon and biomass carbon are two components that contribute to carbon storage in forest ecosystems (<xref ref-type="bibr" rid="R1">Bania <italic>et al</italic>., 2025</xref>). More photosynthesis results in more CO<sub>2</sub> being transformed into biomass, which lowers atmospheric carbon and stores it in plant tissue both above and below ground. Carbon sequestration in trees is significantly influenced by the production of biomass in various forms <bold>(<xref ref-type="bibr" rid="R19">Soni <italic>et al</italic>., 2023</xref>).</bold> The primary carbon pools in any ecosystem include dead wood, litter, soil organic matter and aboveground and belowground biomass (<xref ref-type="bibr" rid="R18">Sharma <italic>et al</italic>., 2021</xref>).</p>
      <p>Degradation of soil fertility is a major limitation to sustainable agricultural productivity, especially in areas affected by erosion, nutrient loss, and poor land management practices. Restoring the productivity of such degraded soils requires environmentally friendly and economically sustainable methods (<xref ref-type="bibr" rid="R11">Leksono <italic>et al</italic>., 2021</xref>). In this context, perennial leguminous tree species have gained more interest due to their ability to enhance soil health through biological processes. <italic>Pongamia pinnata</italic> is a multipurpose, fast-growing, deciduous tree and is indigenous to the Indian subcontinent <bold>(<xref ref-type="bibr" rid="R4">Choudhary <italic>et al</italic>., 2025</xref>)</bold> and commonly known as honge in Karnataka, Karanja, or Pongam<bold>.</bold> Pongamia has a strong root system that helps prevent soil erosion, a leading driver of carbon loss (<xref ref-type="bibr" rid="R2">Chen et al., 2025</xref>) and the tree offers carbon storage as an additional benefit (<xref ref-type="bibr" rid="R19">Soni <italic>et al</italic>., 2023</xref>).</p>
      <p>By anchoring the soil and reducing erosion, Pongamia helps retain soil organic content, which is vital for long-term carbon sequestration. Pongamia can restore soil fertility by fixing atmospheric nitrogen (<xref ref-type="bibr" rid="R6">Gawali <italic>et al</italic>., 2015</xref>), thereby enriching the soil with nutrients and reducing reliance on synthetic fertilisers. These traits make Pongamia a valuable species for restoring degraded lands while also supporting sustainable agroforestry systems. Since climate change is a global problem, studying <italic>Pongamia</italic> is crucial for several reasons, including estimating carbon sequestration potential, which can support efforts to mitigate the effects of climate change in India and around the world <bold>(<xref ref-type="bibr" rid="R22">Zeng <italic>et al</italic>., 2024</xref>).</bold></p>
      <p>RAK Pongamia clones represents a genetically diverse collection of <italic>Pongamia pinnata</italic> selected from superior trees across varied agro-climatic regions. RAK Pongamia clones plays a crucial role in enhancing soil fertility through biological nitrogen fixation and organic matter addition. Integration of RAK accessions in agroforestry systems contributes to improved soil health, nutrient cycling, and long-term sustainability of degraded lands. Some elite RAK genotypes have shown superior performance in biomass accumulation and carbon sequestration, supporting climate change mitigation efforts. The present study evaluates the performance of different Pongamia clones with respect to growth, biomass, carbon sequestration and soil improvement under an agroforestry system.</p>
    </sec>

    <sec id="S2">
      <title>Materials and Methods</title>
      <sec id="S2a">
        <title>Experimental Location</title>
        <p>The experiment was conducted at the Agroforestry unit, ZARS, Gandhi Krishi Vignana Kendra, University of Agricultural Sciences, Bengaluru, situated in the Eastern Dry Zone (Zone – 5) of Karnataka. The experimental site is located between 12º 51' N Latitude and 77º 35' E Longitude at an altitude of 930 m above mean sea level (MSL). The experimental plot was established in July 2017, observations were recorded from 2020-21 to 2025-26 with eight Pongamia clones collected from MPKV, Rahuri. The experiment was laid out in a block plantation of <italic>Pongamia pinnata </italic>with a spacing of 5 m × 5 m<italic>. </italic>A randomized block design is used for the experiment layout with eight treatments and three replications. The eight Pongamia clones are given in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
        <p><bold><xref ref-type="table" rid="T1">Table 1</xref>: Details of <italic>Pongamia pinnata</italic> clones</bold></p>
        <table-wrap id="T1">
          <label>Table 1</label>
          <table>
          <tbody>
            <tr>
              <td>Treatments</td>
              <td>Clones</td>
              <td>Location of clones collected</td>
            </tr>
            <tr>
              <td>T1</td>
              <td>RAK-2015-01</td>
              <td>MPKV, Rahuri</td>
            </tr>
            <tr>
              <td>T2</td>
              <td>RAK-2015-02</td>
            </tr>
            <tr>
              <td>T3</td>
              <td>RAK-2015-03</td>
            </tr>
            <tr>
              <td>T4</td>
              <td>RAK-2015-04</td>
            </tr>
            <tr>
              <td>T5</td>
              <td>RAK-2015-07</td>
            </tr>
            <tr>
              <td>T6</td>
              <td>RAK-2015-08</td>
            </tr>
            <tr>
              <td>T7</td>
              <td>RAK-2015-09</td>
            </tr>
            <tr>
              <td>T8</td>
              <td>RAK-2015-10</td>
            </tr>
          </tbody>
          </table>
        </table-wrap>

      </sec>

      <sec id="S2b">
        <title>Tree growth observations</title>
        <p>The tree biomass was calculated by a non-destructive method by taking the measurements of height and girth of the standing trees and then the volume was calculated. The height, diameter at breast height (DBH) and crown spread of the tree were recorded from 2020 to 2026. The total tree height was measured with an altimeter, and the girth at breast height (1.37 m) from the ground level was measured with the help of a measuring tape. The crown spread of the tree was measured in east - west and north - south direction with the help of a measuring tape. The tree volume was calculated with the following formula, given by <bold><xref ref-type="bibr" rid="R3">Chaturvedi and Khanna (1981)</xref></bold> and expressed in cubic meters<bold>.</bold></p>
        <p>Volume (m<sup>3</sup>)</p>
        <p>The tree volume was calculated with the following formula</p>
        <p>V=4πg2​×h</p>
        <p>Where ‘g’ is girth at breast height (cm), ‘h’ is height in (m), πis 3.142 (<xref ref-type="bibr" rid="R3">Chaturvedi and Khanna, 1981</xref>).</p>
      </sec>

      <sec id="S2c">
        <title>Estimation of tree biomass</title>
        <p>The tree above ground biomass was estimated by multiplying the mean volume by specific wood density and expressed in kg tree<sup>-1</sup> (Brown and Lugo, 1982).</p>
        <p><bold>Above-ground biomass =</bold> Volume x Specific wood density.</p>
        <p><bold>Volume</bold> = Basal area × Height × Form factor</p>
        <p><bold>Basal area</bold> = (πd<sup>2</sup>) / 4</p>
        <p>Form factor is the ratio of its volume to the volume of a specified geometric solid of similar basal diameter and height. The form factor for Pongamia is 0.33.</p>
      </sec>

      <sec id="S2d">
        <title>Below-ground biomass (BGB) of the tree</title>
        <p>The below-ground biomass of Pongamia trees was calculated by multiplying 26 per cent by the above ground biomass (<xref ref-type="bibr" rid="R15">Ravindranath and Ostwald, 2008</xref>) and expressed in t ha<sup>-1</sup>.</p>
        <p><bold>BGB </bold>= AGB X 0.26</p>
      </sec>

      <sec id="S2e">
        <title>Total biomass (TB)</title>
        <p>Total biomass of Pongamia trees was calculated by adding the above-ground and below ground biomass. Usually, total biomass is expressed in t ha<sup>-1</sup>.</p>
        <p><bold>Total biomass (TB)</bold> = AGB + BGB</p>
      </sec>

      <sec id="S2f">
        <title>Carbon sequestration potential</title>
        <p>Fixed carbon content in wood was determined by multiplying the total biomass with dry weight of wood. The dry weight of Pongamia was taken as 45% (<xref ref-type="bibr" rid="R16">Ravi <italic>et al</italic>., 2025</xref>)</bold>. Usually expressed in t ha<sup>-1</sup>.</p>
        <p><bold>Fixed carbon</bold> = TB X 0.45</p>
        <p>CO<sub>2</sub> is composed of one molecule of carbon and two molecules of oxygen. The atomic weight of carbon, oxygen and carbon dioxide is 12.00, 16.00 and 44.00, respectively. The ratio of the atomic weight of CO<sub>2</sub> to C is 3.66. To determine the carbon dioxide sequestered in the tree, multiply the weight of carbon in the tree by 3.66 and expressed in t ha<sup>-1</sup>.</p>
        <p><bold>Carbon sequestration</bold> = Fixed carbon content in wood × 3.66</p>
      </sec>

      <sec id="S2g">
        <title>Carbon stock in the soil</title>
        <p>Carbon sequestration in soil is determined at the depths of 15, 30 and 45 cm using the following formula</p>
        <p>Carbon Stock (Mg C ha<sup>-1</sup>) = BD (g/cc) x OC (%) x depth (m)</p>
      </sec>

      <sec id="S2h">
        <title>Collection and analysis of soil samples</title>
        <p>The soil samples were collected at 0-15 cm, 15 -30 cm and 30-45 cm depth to estimate the soil organic carbon at various depths. Whereas, soil samples were collected 0-15 cm to estimate pH, EC and NPK. Soil samples were dried under shade and gently crushed in mortar and sieved using 2 mm sieve. Soil samples were analyzed for chemical properties such as pH, EC, NPK and organic carbon using standard protocols. pH and electric conductivity were estimated using 1:2.5 soil water suspension (<xref ref-type="bibr" rid="R9">Jackson, 1973</xref>). Organic carbon in soil was estimated by rapid titration (<xref ref-type="bibr" rid="R21">Walkley and Blacky, 1938</xref>), available nitrogen by alkaline potassium permanganate method given by <xref ref-type="bibr" rid="R20">Subbiah and Asija (1956)</xref>, available phosphorus by Olsen extraction using spectrophotometer and available potassium by flame photometric method (<xref ref-type="bibr" rid="R9">Jackson, 1973</xref>).</p>
      </sec>

      <sec id="S2i">
        <title>Statistical analysis</title>
        <p>The experimental data generated from the experiment was subjected to statistical analysis using Fisher’s method of analysis of variance. The level of significance used in “F’’ test was 5 % agroforestry studies. Critical difference (CD) values were calculated at 5 per cent level of significance whenever “F” test was found significant.</p>
      </sec>

    </sec>

    <sec id="S3">
      <title>Results and Discussion</title>
      <p>In the first year of planting, there was no significant changes in the tree height (<xref ref-type="table" rid="T2">Table 2</xref>). During the second year after planting, RAK-2015-10 recorded a higher tree height (3.41m), followed by RAK-2015-01, which was superior over the other clones. After the 3<sup>rd</sup> and 4<sup>th</sup> year of planting, RAK-2015-10 recorded higher tree height, whereas in the 5<sup>th</sup> year, RAK-2015-09 recorded higher tree height (4.27 m), followed by RAK-2015-10 and RAK-2015-08. After 6<sup>th</sup> year of planting among different clones, RAK-2015-10 recorded higher tree height (4.98 m), followed by RAK-2015-09 and RAK-2015-08. There were variations with respect to the tree increment rate over the years. ( <xref ref-type="fig" rid="fig1">fig 1</xref> )</p>
      <p>Diameter at breast height varied significantly among the different clones (<xref ref-type="table" rid="T3">Table 3</xref>). Significantly higher diameter upto 4 years of planting was recorded by RAK-2015-10. The minimum diameter at breast height was recorded in all years by RAK-2015-07. During 5<sup>th</sup> and 6<sup>th</sup> year of planting RAK-2015-01 recorded higher diameter (14.25 cm) followed by RAK - 2015-08 and RAK-2015-10.</p>
      <p><bold><xref ref-type="table" rid="T2">Table 2</xref>: Tree height of different<italic> Pongamia pinnata</italic> clones from 2020-21 to 2025-26</bold></p>
      <table-wrap id="T2">
        <label>Table 2</label>
        <table>
        <tbody>
          <tr>
            <td>Clones</td>
            <td>Tree height (m)</td>
          </tr>
          <tr>
            <td>1st year</td>
            <td>2nd year</td>
            <td>3rd year</td>
            <td>4th year</td>
            <td>5th year</td>
            <td>6th year</td>
          </tr>
          <tr>
            <td>RAK-2015-01</td>
            <td>2.67</td>
            <td>2.97</td>
            <td>3.17</td>
            <td>3.35</td>
            <td>3.83</td>
            <td>4.49</td>
          </tr>
          <tr>
            <td>RAK-2015-02</td>
            <td>2.42</td>
            <td>2.58</td>
            <td>2.83</td>
            <td>3.25</td>
            <td>3.55</td>
            <td>4.10</td>
          </tr>
          <tr>
            <td>RAK-2015-03</td>
            <td>2.30</td>
            <td>2.52</td>
            <td>2.79</td>
            <td>2.98</td>
            <td>3.37</td>
            <td>3.74</td>
          </tr>
          <tr>
            <td>RAK-2015-04</td>
            <td>2.11</td>
            <td>2.47</td>
            <td>2.98</td>
            <td>3.30</td>
            <td>3.42</td>
            <td>3.84</td>
          </tr>
          <tr>
            <td>RAK-2015-07</td>
            <td>2.21</td>
            <td>2.53</td>
            <td>2.93</td>
            <td>3.31</td>
            <td>3.51</td>
            <td>3.82</td>
          </tr>
          <tr>
            <td>RAK-2015-08</td>
            <td>2.42</td>
            <td>2.78</td>
            <td>3.28</td>
            <td>3.53</td>
            <td>4.15</td>
            <td>4.76</td>
          </tr>
          <tr>
            <td>RAK-2015-09</td>
            <td>2.13</td>
            <td>2.49</td>
            <td>3.01</td>
            <td>3.62</td>
            <td>4.27</td>
            <td>4.86</td>
          </tr>
          <tr>
            <td>RAK-2015-10</td>
            <td>2.89</td>
            <td>3.41</td>
            <td>3.56</td>
            <td>3.66</td>
            <td>4.21</td>
            <td>4.98</td>
          </tr>
          <tr>
            <td>S.Em±</td>
            <td>0.27</td>
            <td>0.16</td>
            <td>0.01</td>
            <td>0.04</td>
            <td>0.28</td>
            <td>0.26</td>
          </tr>
          <tr>
            <td>CD(P=0.05)</td>
            <td>0.80</td>
            <td>0.50</td>
            <td>0.02</td>
            <td>0.11</td>
            <td>0.87</td>
            <td>0.78</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p>The inherent genetic variability among the different clones, which controls their growth potential, resource efficiency, and environmental adaptability, is the main cause of the observed variation in growth and increment rates among <italic>Pongamia pinnata</italic> clones across different years (<xref ref-type="bibr" rid="R2">Chen <italic>et al</italic>., 2025</xref>). A similar observation was also made by <bold>Ravi <italic>et al</italic>., 2025</bold> states that RAK-2015-10 performed better in terms of height compared to other clones.</p>
      <p><bold><xref ref-type="table" rid="T3">Table 3</xref>: Diameter at breast height (DBH) of <italic>Pongamia pinnata</italic> clones</bold></p>
      <table-wrap id="T3">
        <label>Table 3</label>
        <table>
        <tbody>
          <tr>
            <td>Clones</td>
            <td>Diameter at breast height (cm)</td>
          </tr>
          <tr>
            <td>1st year</td>
            <td>2nd year</td>
            <td>3rd year</td>
            <td>4th year</td>
            <td>5th year</td>
            <td>6th year</td>
          </tr>
          <tr>
            <td>RAK-2015-01</td>
            <td>9.78</td>
            <td>10.11</td>
            <td>11.07</td>
            <td>12.13</td>
            <td>12.96</td>
            <td>14.25</td>
          </tr>
          <tr>
            <td>RAK-2015-02</td>
            <td>9.29</td>
            <td>9.95</td>
            <td>10.21</td>
            <td>10.37</td>
            <td>10.77</td>
            <td>11.21</td>
          </tr>
          <tr>
            <td>RAK-2015-03</td>
            <td>9.53</td>
            <td>9.79</td>
            <td>10.31</td>
            <td>11.16</td>
            <td>12.22</td>
            <td>13.04</td>
          </tr>
          <tr>
            <td>RAK-2015-04</td>
            <td>9.29</td>
            <td>9.96</td>
            <td>10.76</td>
            <td>11.14</td>
            <td>11.69</td>
            <td>12.03</td>
          </tr>
          <tr>
            <td>RAK-2015-07</td>
            <td>3.97</td>
            <td>4.57</td>
            <td>5.14</td>
            <td>5.70</td>
            <td>6.39</td>
            <td>6.97</td>
          </tr>
          <tr>
            <td>RAK-2015-08</td>
            <td>8.64</td>
            <td>9.98</td>
            <td>10.91</td>
            <td>12.19</td>
            <td>12.95</td>
            <td>13.51</td>
          </tr>
          <tr>
            <td>RAK-2015-09</td>
            <td>8.83</td>
            <td>9.58</td>
            <td>10.04</td>
            <td>11.08</td>
            <td>11.62</td>
            <td>12.60</td>
          </tr>
          <tr>
            <td>RAK-2015-10</td>
            <td>9.98</td>
            <td>10.56</td>
            <td>11.61</td>
            <td>12.26</td>
            <td>12.82</td>
            <td>13.27</td>
          </tr>
          <tr>
            <td>S.Em±</td>
            <td>0.03</td>
            <td>0.04</td>
            <td>1.09</td>
            <td>0.01</td>
            <td>2.41</td>
            <td>1.35</td>
          </tr>
          <tr>
            <td>CD (P=0.05)</td>
            <td>0.12</td>
            <td>0.13</td>
            <td>3.73</td>
            <td>0.05</td>
            <td>NS</td>
            <td>4.13</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p><bold><xref ref-type="table" rid="T4">Table 4</xref>: Canopy cover (m) of <italic>Pongamia pinnata</italic> as influenced by different clones</bold></p>
      <table-wrap id="T4">
        <label>Table 4</label>
        <table>
        <tbody>
          <tr>
            <td>Clones</td>
            <td>1st year</td>
            <td>2nd year</td>
            <td>3rd year</td>
            <td>4th year</td>
            <td>5th year</td>
            <td> </td>
          </tr>
          <tr>
            <td>N-S</td>
            <td>E-W</td>
            <td>N-S</td>
            <td>E-W</td>
            <td>N-S</td>
            <td>E-W</td>
            <td>N-S</td>
            <td>E-W</td>
            <td>N-S</td>
            <td>E-W</td>
          </tr>
          <tr>
            <td>RAK-2015-01</td>
            <td>2.59</td>
            <td>2.46</td>
            <td>2.84</td>
            <td>2.73</td>
            <td>3.83</td>
            <td>3.39</td>
            <td>4.3</td>
            <td>3.70</td>
            <td>4.63</td>
            <td>4.31</td>
          </tr>
          <tr>
            <td>RAK-2015-02</td>
            <td>2.62</td>
            <td>2.41</td>
            <td>2.96</td>
            <td>2.69</td>
            <td>3.23</td>
            <td>2.64</td>
            <td>3.63</td>
            <td>3.00</td>
            <td>3.94</td>
            <td>3.27</td>
          </tr>
          <tr>
            <td>RAK-2015-03</td>
            <td>2.68</td>
            <td>2.49</td>
            <td>3.11</td>
            <td>2.84</td>
            <td>2.38</td>
            <td>2.41</td>
            <td>3.97</td>
            <td>3.35</td>
            <td>3.57</td>
            <td>3.52</td>
          </tr>
          <tr>
            <td>RAK-2015-04</td>
            <td>3.01</td>
            <td>2.77</td>
            <td>3.43</td>
            <td>3.38</td>
            <td>2.56</td>
            <td>2.89</td>
            <td>3.03</td>
            <td>3.20</td>
            <td>3.50</td>
            <td>3.78</td>
          </tr>
          <tr>
            <td>RAK-2015-07</td>
            <td>2.75</td>
            <td>2.79</td>
            <td>3.56</td>
            <td>3.3</td>
            <td>3.07</td>
            <td>2.78</td>
            <td>3.47</td>
            <td>3.22</td>
            <td>3.85</td>
            <td>3.75</td>
          </tr>
          <tr>
            <td>RAK-2015-08</td>
            <td>2.51</td>
            <td>2.51</td>
            <td>2.73</td>
            <td>2.58</td>
            <td>3.69</td>
            <td>3.02</td>
            <td>4.15</td>
            <td>3.38</td>
            <td>4.50</td>
            <td>3.88</td>
          </tr>
          <tr>
            <td>RAK-2015-09</td>
            <td>2.24</td>
            <td>2.12</td>
            <td>2.69</td>
            <td>2.47</td>
            <td>3.05</td>
            <td>3.15</td>
            <td>3.4</td>
            <td>3.45</td>
            <td>3.72</td>
            <td>3.81</td>
          </tr>
          <tr>
            <td>RAK-2015-10</td>
            <td>3.47</td>
            <td>3.17</td>
            <td>4.15</td>
            <td>3.71</td>
            <td>3.22</td>
            <td>3.38</td>
            <td>3.58</td>
            <td>3.67</td>
            <td>4.04</td>
            <td>4.14</td>
          </tr>
          <tr>
            <td>S.Em±</td>
            <td>0.19</td>
            <td>0.2</td>
            <td>0.01</td>
            <td>0.01</td>
            <td>0.54</td>
            <td>0.54</td>
            <td>0.49</td>
            <td>0.52</td>
            <td>0.58</td>
            <td>0.54</td>
          </tr>
          <tr>
            <td>CD (P=0.05)</td>
            <td>0.58</td>
            <td>0.62</td>
            <td>0.03</td>
            <td>0.03</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p>Clones of Pongamia performed differently with respect to canopy cover due to variations in their genetic characteristics. However, the changes were significant in the initial two years of planting. After 2 years, there were no significant changes in the crown cover. Clonal selection RAK-2015-10 recorded better spread in North-South and East-West directions (3.47 m, 3.17 m and 4.15 m and 3.71 m) during the 2 years of establishment. RAK-2015-01 recorded maximum canopy cover during the 3<sup>rd</sup>, 4<sup>th</sup> and 5<sup>th</sup> years of establishment (<xref ref-type="table" rid="T4">Table 4</xref>). Variations in the canopy cover in N-S and E-W directions were monitored to evaluate the clones for their growth and performance over the years. Different <italic>Pongamia</italic> clones exhibit inherent genetic variations that regulate growth habit, crown architecture and branching pattern. Canopy spread increases as Pongamia trees mature, driven by increased branching and crown expansion (<xref ref-type="bibr" rid="R5">Danu <italic>et al</italic>., 2024</xref>).</p>
      <p>Different clones of Pongamia differed significantly over the years on volume of biomass produced year after year (<xref ref-type="table" rid="T5">Table 5</xref>). During the 1<sup>st</sup> year, RAK-2015-01 produced more biomass and volume of 7.41 m<sup>3</sup> compared to other clones, with a minimum biomass of 0.89 m<sup>3</sup> produced by RAK-2015-07. Further, with the incremental rate, RAK-2015-10 performed better with volume in the 2<sup>nd</sup>, 3<sup>rd</sup>, 5<sup>th</sup> and 6<sup>th</sup> year except during the 4<sup>th</sup>year. Clonal selection RAK-2015-07 recorded a lesser volume per hectare over the years. Superior clones convert assimilates more efficiently into the stem, branches and root biomass, resulting in higher wood volume. Age-related accumulation, genetic potential, effective photosynthesis, canopy growth, and favourable climatic conditions are the main causes of increased volume and total biomass throughout time (<xref ref-type="bibr" rid="R17">Sahoo <italic>et al</italic>., 2021</xref>). Clones with superior growth features and more effective resource utilisation result in higher biomass and volume production (<xref ref-type="bibr" rid="R2">Chen <italic>et al</italic>., 2025</xref>).</p>
      <p><bold><xref ref-type="table" rid="T5">Table 5</xref>: Volume (m<sup>3 </sup>ha<sup>-1</sup>) of <italic>Pongamia pinnata</italic> as influenced by different clones</bold></p>
      <table-wrap id="T5">
        <label>Table 5</label>
        <table>
        <tbody>
          <tr>
            <td>Clones</td>
            <td>1st year</td>
            <td>2nd year</td>
            <td>3rd year</td>
            <td>4th year</td>
            <td>5th year</td>
            <td>6th year</td>
          </tr>
          <tr>
            <td>RAK-2015-01</td>
            <td>7.41</td>
            <td>10.16</td>
            <td>12.20</td>
            <td>15.48</td>
            <td>20.25</td>
            <td>30.46</td>
          </tr>
          <tr>
            <td>RAK-2015-02</td>
            <td>6.58</td>
            <td>8.04</td>
            <td>9.30</td>
            <td>10.29</td>
            <td>11.06</td>
            <td>18.34</td>
          </tr>
          <tr>
            <td>RAK-2015-03</td>
            <td>4.93</td>
            <td>8.20</td>
            <td>8.46</td>
            <td>10.70</td>
            <td>19.24</td>
            <td>22.27</td>
          </tr>
          <tr>
            <td>RAK-2015-04</td>
            <td>5.73</td>
            <td>9.28</td>
            <td>11.72</td>
            <td>11.32</td>
            <td>19.23</td>
            <td>27.30</td>
          </tr>
          <tr>
            <td>RAK-2015-07</td>
            <td>0.89</td>
            <td>1.94</td>
            <td>2.85</td>
            <td>2.24</td>
            <td>4.04</td>
            <td>5.24</td>
          </tr>
          <tr>
            <td>RAK-2015-08</td>
            <td>2.03</td>
            <td>8.72</td>
            <td>12.28</td>
            <td>16.49</td>
            <td>22.12</td>
            <td>27.33</td>
          </tr>
          <tr>
            <td>RAK-2015-09</td>
            <td>3.79</td>
            <td>7.20</td>
            <td>9.15</td>
            <td>13.96</td>
            <td>21.56</td>
            <td>25.08</td>
          </tr>
          <tr>
            <td>RAK-2015-10</td>
            <td>7.18</td>
            <td>12.55</td>
            <td>15.07</td>
            <td>15.18</td>
            <td>24.88</td>
            <td>40.43</td>
          </tr>
          <tr>
            <td>S.Em±</td>
            <td>0.06</td>
            <td>0.09</td>
            <td>0.83</td>
            <td>1.31</td>
            <td>7.54</td>
            <td>5.91</td>
          </tr>
          <tr>
            <td>CD (P=0.05)</td>
            <td>0.17</td>
            <td>0.28</td>
            <td>2.53</td>
            <td>4.01</td>
            <td>NS</td>
            <td>18.11</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p>Total biomass produced by pongamia clones over the years was measured periodically and the results showed significant differences (<xref ref-type="fig" rid="fig1">Fig. 1</xref>). During the 1<sup>st</sup> year of RAK-2015-01, it recorded significantly higher biomass (7.66 t ha<sup>-1</sup>) over all the other clones. In the second and third year, RAK-2015-10 recorded higher biomass (12.96 and 15.77 t ha<sup>-1</sup>).  During the 3<sup>rd</sup> year, RAK-2015-08 recorded significantly higher biomass (17.04 t ha<sup>-1</sup>), followed by RAK-2015-01 and RAK-2015-10. There was non-significant biomass production by the pongamia clones during the 5<sup>th</sup> year. In the recent year (2025-26), RAK-2015-10 produced significantly higher biomass (41.77 t ha<sup>-1</sup>), followed by RAK-2015-01 and RAK-2015-08. However, the performance of RAK-2015-07 clone was found to be the least biomass production and not comparable to any of the clones in all the years.</p>
      <p>Carbon sequestration potential of all the clones under the study was calculated based on growth characteristics and biomass production (<xref ref-type="table" rid="T6">Table 6</xref>). During the first year, RAK-2015-01 sequestered significantly higher carbon compared to all other clones (14.04 t ha<sup>-1</sup>). In the 2<sup>nd</sup> and 3<sup>rd</sup> year, RAK-2015-10 recorded higher carbon sequestration potential (23.76 and 28.54 t ha<sup>-1</sup>) over other clones, and a similar trend was followed during 5<sup>th</sup> and 6<sup>th</sup> year (47.13 and 76.58 t ha<sup>-1</sup>) except during 4<sup>th</sup> year, wherein RAK-2015-08, which recorded the maximum carbon sequestration potential (31.24 t ha<sup>-1</sup>). The C sequestration potential by RAK-2015-07 was non-significant in all the years of study.</p>
      <p>The potential of tree carbon sequestration is determined by the location and method of tree planting. The results clearly state that older trees sequester more carbon when compared to younger trees. Genetic traits, environment, density and age of the trees were also attributed to variations in carbon sequestration in Pongamia clones (<xref ref-type="bibr" rid="R19">Soni <italic>et al</italic>., 2023</xref>). The trees support a large number of leaves, have a high woody biomass, and enhance carbon fixation, which can eventually sequester more carbon and serve as a long-term carbon sink. This helps in reducing the greenhouse effect and climate change (<xref ref-type="bibr" rid="R13">Norby<italic> et al</italic>. 2024</xref>). In the present study, RAK-2015-10 noticed highest height and biomass, which helps in sequestering more carbon and these results are in line with the findings of <bold><xref ref-type="bibr" rid="R16">Ravi <italic>et al</italic>. (2025)</xref></bold> wherein, RAK-2015-10 performed better than other clones in terms of carbon sequestration under an agroforestry system.</p>
      <p><bold><xref ref-type="table" rid="T6">Table 6</xref>: CO<sub>2</sub> sequestration (t ha<sup>-1</sup>) potential of <italic>Pongamia pinnata</italic> at different growth stages as influenced by clones</bold></p>
      <table-wrap id="T6">
        <label>Table 6</label>
        <table>
        <tbody>
          <tr>
            <td>Clones</td>
            <td>1st year</td>
            <td>2nd year</td>
            <td>3rd year</td>
            <td>4th year</td>
            <td>5th year</td>
            <td>6th year</td>
          </tr>
          <tr>
            <td>RAK-2015-01</td>
            <td>14.04</td>
            <td>19.25</td>
            <td>23.10</td>
            <td>29.31</td>
            <td>38.35</td>
            <td>57.68</td>
          </tr>
          <tr>
            <td>RAK-2015-02</td>
            <td>12.46</td>
            <td>15.23</td>
            <td>17.62</td>
            <td>19.49</td>
            <td>20.95</td>
            <td>34.73</td>
          </tr>
          <tr>
            <td>RAK-2015-03</td>
            <td>9.34</td>
            <td>15.54</td>
            <td>16.02</td>
            <td>20.27</td>
            <td>36.44</td>
            <td>42.18</td>
          </tr>
          <tr>
            <td>RAK-2015-04</td>
            <td>10.86</td>
            <td>17.58</td>
            <td>22.19</td>
            <td>21.45</td>
            <td>36.41</td>
            <td>51.71</td>
          </tr>
          <tr>
            <td>RAK-2015-07</td>
            <td>1.69</td>
            <td>3.68</td>
            <td>5.39</td>
            <td>4.24</td>
            <td>7.65</td>
            <td>9.93</td>
          </tr>
          <tr>
            <td>RAK-2015-08</td>
            <td>3.85</td>
            <td>16.51</td>
            <td>23.25</td>
            <td>31.24</td>
            <td>41.90</td>
            <td>51.77</td>
          </tr>
          <tr>
            <td>RAK-2015-09</td>
            <td>7.17</td>
            <td>13.63</td>
            <td>17.33</td>
            <td>26.44</td>
            <td>40.83</td>
            <td>47.51</td>
          </tr>
          <tr>
            <td>RAK-2015-10</td>
            <td>13.61</td>
            <td>23.76</td>
            <td>28.54</td>
            <td>28.75</td>
            <td>47.13</td>
            <td>76.58</td>
          </tr>
          <tr>
            <td>S.Em±</td>
            <td>0.11</td>
            <td>0.17</td>
            <td>1.57</td>
            <td>2.48</td>
            <td>14.28</td>
            <td>11.20</td>
          </tr>
          <tr>
            <td>CD (P=0.05)</td>
            <td>0.33</td>
            <td>0.53</td>
            <td>4.81</td>
            <td>7.59</td>
            <td>NS</td>
            <td>34.31</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

      <p>Carbon stock in soil was assessed after 5 years of study. There were significant changes with respect to different soil depths. Carbon stock varied with depth among the various clones however, RAK-2015-10 recorded higher C stock in all the depths (10608, 6936 and 5100 kg ha<sup>-1</sup>, respectively). Significantly lower C stock was noticed in RAK-2015-09 clone at 0-15, 15-30 and 30-45 cm depths (<xref ref-type="fig" rid="fig2">Fig. 2</xref>). The higher accumulation in the top soil might be due to higher accumulation of organic carbon by the decomposition of leaf litter by the Pongamia clones (<xref ref-type="bibr" rid="R12">Negash and Starr, 2021</xref>). Similar variations were also noticed by <bold><xref ref-type="bibr" rid="R7">Giweta (2020)</xref></bold> that decomposition of leaf litter results in the formation of soil organic matter and nutrient cycling, contributing significantly to topsoil carbon accumulation.</p>
      <p>Pongamia growth over the years influenced a few soil chemical properties (<xref ref-type="table" rid="T7">Table 7</xref>). There was improvement in soil properties due to pongamia clones, with respect to soil pH, electrical conductivity and organic carbon status, there was a slight positive variation recorded. However, Primary nutrient status in soil differed significantly among the clones when compared to initial values. Significantly higher availability N was recorded under RAK-2015-10 (278.18 kg ha<sup>-1</sup>) over the other clones. Soil under RAK-2015-10 clone recorded significantly higher availability of P<sub>2</sub>O<sub>5</sub> and availability of K<sub>2</sub>O over the other clones (29.65 and 211.09 kg ha<sup>-1</sup>), followed by RAK-2015-09 and RAK-2015-08 clones. Irrespective of clones, major nutrient availability was improved due to the litter fall, carbon sequestration and nodulation potential of different clones. Pongamia is a fast-growing tropical legume tree that accumulates biomass quickly and is ideal for the sequestration of carbon.  The crop has its ability to form symbiotic associations with beneficial soil microbes, such as rhizobia and mycorrhiza that provide the tree with critical nutrients (<xref ref-type="bibr" rid="R10">Kumar <italic>et al</italic>., 2017</xref>). The increased availability of nutrients resulted in increased production of photosynthates and their translocation into leaves and branches.  The higher amount of nitrogen in the soil might be due to the addition of organic, manures, fertilizers. However, <italic>Pongamia pinnata</italic> is nitrogen fixing tree species, which helps to accumulation of more nitrogen; this may be one of the reasons for increased available nitrogen under <italic>Pongamia pinnata</italic> plantation. These results are in conformity with the findings of Parasuram, 2013. The litter fall and its decomposition over the years might have accounted for the improved availability of carbon and other major nutrients in soil.</p>
      <p><bold><xref ref-type="table" rid="T7">Table 7</xref>: Soil chemical properties and soil nutrient status as influenced by Pongamia clones (2025-26)</bold></p>
      <table-wrap id="T7">
        <label>Table 7</label>
        <table>
        <tbody>
          <tr>
            <td>  Clones</td>
            <td>  pH (1:2.5)</td>
            <td>  EC (dsm-1)</td>
            <td>Organic carbon (%)</td>
            <td>  Avail. N (kg ha-1)</td>
            <td>Avail. P2O5 (kg ha-1)</td>
            <td>Avail. K2O (kg ha-1)</td>
          </tr>
          <tr>
            <td>0- 15 cm</td>
            <td>15-30 cm</td>
            <td>30-45 cm</td>
          </tr>
          <tr>
            <td>RAK-015-01</td>
            <td>5.32</td>
            <td>0.46</td>
            <td>0.46</td>
            <td>0.28</td>
            <td>0.18</td>
            <td>242.56</td>
            <td>23.58</td>
            <td>191.52</td>
          </tr>
          <tr>
            <td>RAK-015-02</td>
            <td>5.26</td>
            <td>0.47</td>
            <td>0.42</td>
            <td>0.24</td>
            <td>0.17</td>
            <td>232.47</td>
            <td>23.72</td>
            <td>190.46</td>
          </tr>
          <tr>
            <td>RAK-015-03</td>
            <td>5.39</td>
            <td>0.38</td>
            <td>0.48</td>
            <td>0.31</td>
            <td>0.22</td>
            <td>253.14</td>
            <td>24.41</td>
            <td>200.76</td>
          </tr>
          <tr>
            <td>RAK-015-04</td>
            <td>5.27</td>
            <td>0.39</td>
            <td>0.45</td>
            <td>0.27</td>
            <td>0.20</td>
            <td>242.28</td>
            <td>23.48</td>
            <td>191.78</td>
          </tr>
          <tr>
            <td>RAK-015-07</td>
            <td>5.46</td>
            <td>0.36</td>
            <td>0.50</td>
            <td>0.32</td>
            <td>0.22</td>
            <td>254.28</td>
            <td>25.39</td>
            <td>207.25</td>
          </tr>
          <tr>
            <td>RAK-015-08</td>
            <td>5.51</td>
            <td>0.36</td>
            <td>0.52</td>
            <td>0.33</td>
            <td>0.21</td>
            <td>274.26</td>
            <td>25.69</td>
            <td>208.19</td>
          </tr>
          <tr>
            <td>RAK-015-09</td>
            <td>5.24</td>
            <td>0.48</td>
            <td>0.45</td>
            <td>0.23</td>
            <td>0.18</td>
            <td>235.28</td>
            <td>22.25</td>
            <td>190.26</td>
          </tr>
          <tr>
            <td>RAK-015-10</td>
            <td>5.57</td>
            <td>0.35</td>
            <td>0.54</td>
            <td>0.36</td>
            <td>0.27</td>
            <td>278.18</td>
            <td>29.65</td>
            <td>211.09</td>
          </tr>
          <tr>
            <td>S.Em ±</td>
            <td>0.08</td>
            <td>0.07</td>
            <td>0.06</td>
            <td>0.05</td>
            <td>0.04</td>
            <td>0.93</td>
            <td>0.50</td>
            <td>2.99</td>
          </tr>
          <tr>
            <td>C. D @ 5%</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
            <td>NS</td>
            <td>3.13</td>
            <td>1.62</td>
            <td>9.04</td>
          </tr>
          <tr>
            <td>Initial</td>
            <td>5.28</td>
            <td>0.41</td>
            <td>0.43</td>
            <td>0.26</td>
            <td>0.17</td>
            <td>232.94</td>
            <td>18.46</td>
            <td>182.88</td>
          </tr>
        </tbody>
        </table>
      </table-wrap>

    </sec>

    <sec id="S4">
      <title>Conclusion</title>
      <p>The present study was conducted to assess the growth, biomass and carbon sequestration potential of various Pongamia clones along with soil carbon stock, including nutrient status of soil. The study found that <italic>Pongamia pinnata</italic> clones vary significantly in growth, biomass and carbon sequestration within an agroforestry system. RAK-2015-01 performed better in the early growth stage, but RAK-2015-10 consistently outperformed the other clones in height, biomass accumulation and carbon sequestration over time. Carbon sequestration was increased with age of the tree and biomass, emphasizing the significance of choosing high-performing clones for long-term climatic benefits. Pongamia also increased soil carbon storage and nutritional status, showing its importance in soil fertility. Overall, <italic>Pongamia pinnata</italic> is a good species for sustainable agroforestry and climate change mitigation, as RAK-2015-10 is shown to be the most promising clone for maximizing production of biomass and carbon sequestration.</p>
    </sec>

    <sec id="S5">
      <title>Acknowledgement</title>
      <p>We thank ICAR-CAFRI, Jhansi for the financial and continued support.</p>
    </sec>

    <fig id="fig1">
      <label>Figure 1</label>
      <caption><p>Total biomass (t ha-1) of Pongamia pinnata as influenced by different clones</p></caption>
      <graphic xlink:href="https://www.acspublisher.com/journals/index.php/ija/article/download/25151/version/24590/21700/48389/figure1.png"/>
    </fig>

    <fig id="fig2">
      <label>Figure 2</label>
      <caption><p>Carbon stock in soil (kg ha-1) influenced by Pongamia pinnata clones at different growth stages</p></caption>
      <graphic xlink:href="https://www.acspublisher.com/journals/index.php/ija/article/download/25151/version/24590/21700/48390/figure2.png"/>
    </fig>

  </body>

  <back>

    <ref-list>
      <title>References</title>

      <ref id="R1">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Bania</surname><given-names>J. K., Nath, A., Sileshi, G. W., Paul, A., Kumari, T., Das, A. K</given-names></name>
            <name><surname>Nath</surname><given-names>A. J</given-names></name>
          </person-group>
          <article-title>Variations and drivers of biomass and soil carbon stocks in planted forests across India. <italic>Environmental and Sustainability Indicators</italic>, 101101</article-title>
          <year>2025</year>
        </element-citation>
      </ref>

      <ref id="R2">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Chen</surname><given-names>A., Scott, P., Gresshoff, P. M</given-names></name>
            <name><surname>Ferguson</surname><given-names>B. J</given-names></name>
          </person-group>
          <article-title>The biofuel-producing legume tree, <italic>Pongamia pinnata</italic>, offers strong potential for carbon sequestration. <italic>bioRxiv</italic></article-title>
          <year>2025</year>
        </element-citation>
      </ref>

      <ref id="R3">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Chaturvedi</surname><given-names>A. N</given-names></name>
            <name><surname>Khanna</surname><given-names>L. S</given-names></name>
          </person-group>
          <article-title><italic>Forest mensuration</italic> (2nd ed.)</article-title>
          <source>International Book Distributors</source>
          <year>1981</year>
        </element-citation>
      </ref>

      <ref id="R4">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Choudhary</surname><given-names>S., Yadav, A., Sharma, G</given-names></name>
            <name><surname>Sankhla</surname><given-names>I. S</given-names></name>
          </person-group>
          <article-title>A comprehensive review of the versatile roles of <italic>Pongamia pinnata</italic> (L.) Pierre: Environmental impacts, medicinal applications and economic potential. <italic>Plant Archives, 25</italic>(2), 889–901</article-title>
          <year>2025</year>
        </element-citation>
      </ref>

      <ref id="R5">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Danu</surname><given-names>Nuroniah, H. S., Cahyono, D. D. N., Aminah, A., Syamsuwida, D., Siregar, N., Suita, E., Djam’an, D., Lukman, A. H</given-names></name>
            <name><surname>Hendarto</surname><given-names>K. A</given-names></name>
          </person-group>
          <article-title>Variability of pod and seed traits on candidate plus tree <italic>Pongamia pinnata</italic> in Indonesia. <italic>Forest Science and Technology, 20</italic>(2), 155–162</article-title>
          <year>2024</year>
        </element-citation>
      </ref>

      <ref id="R6">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Gawali</surname><given-names>A., Wagh, R</given-names></name>
            <name><surname>Sonawane</surname><given-names>C</given-names></name>
          </person-group>
          <article-title>Evaluation of genetic variability and correlation in pod and seed traits of <italic>Pongamia pinnata</italic> (L.) Pierre germplasm for genetic tree improvement. <italic>Forest Research, 4</italic>(149), 2</article-title>
          <year>2015</year>
        </element-citation>
      </ref>

      <ref id="R7">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Giweta</surname><given-names>M</given-names></name>
          </person-group>
          <article-title>Role of litter production and its decomposition in forest ecosystems. <italic>Journal of Ecology and Environment, 44</italic>(1), 11</article-title>
          <year>2020</year>
        </element-citation>
      </ref>

      <ref id="R8">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>He</surname><given-names>G., Zhang, Z., Zhu, Q., Wang, W., Peng, W</given-names></name>
            <name><surname>Cai</surname><given-names>Y</given-names></name>
          </person-group>
          <article-title>Estimating carbon sequestration potential of forest and its influencing factors at fine spatial scales: A case study of Lushan City in Southern China. <italic>International Journal of Environmental Research and Public Health, 19</italic>(15), 9184</article-title>
          <year>2022</year>
        </element-citation>
      </ref>

      <ref id="R9">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Jackson</surname><given-names>M. L</given-names></name>
          </person-group>
          <article-title><italic>Soil chemical analysis</italic></article-title>
          <source>Prentice Hall of India</source>
          <year>1973</year>
        </element-citation>
      </ref>

      <ref id="R10">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Kumar</surname><given-names>D., Singh, B</given-names></name>
            <name><surname>Sharma</surname><given-names>Y. C</given-names></name>
          </person-group>
          <article-title>Bioenergy and phytoremediation potential of <italic>Millettia pinnata</italic></article-title>
          <source>In K. Bauddh</source>
          <year>2017</year>
        </element-citation>
      </ref>

      <ref id="R11">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Leksono</surname><given-names>B., Rahman, S. A., Larranaga, M., Purbaya, D. A., Arpiwi, N. L., Samsudin, Y. B., Artati, Y., Windyarini, E., Sudrajat, D. J</given-names></name>
            <name><surname>Aminah</surname><given-names>A</given-names></name>
          </person-group>
          <article-title>Pongamia: A possible option for degraded land restoration and bioenergy production in Indonesia. <italic>Forests, 12</italic>(11), 1468</article-title>
          <year>2021</year>
        </element-citation>
      </ref>

      <ref id="R12">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Negash</surname><given-names>M</given-names></name>
            <name><surname>Starr</surname><given-names>M</given-names></name>
          </person-group>
          <article-title>Litter decomposition in agroforestry systems: A review. <italic>Agroforestry Systems, 95</italic>, 755–766</article-title>
          <year>2021</year>
        </element-citation>
      </ref>

      <ref id="R13">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Norby</surname><given-names>R. J., Loader, N. J., Mayoral, C., Ullah, S., Curioni, G., Smith, A. R., Reay, M. K., Van Wijngaarden, K., Amjad, M. S., Brettle, D</given-names></name>
            <name><surname>Crockatt</surname><given-names>M. E</given-names></name>
          </person-group>
          <article-title>Enhanced woody biomass production in a mature temperate forest under elevated CO₂. <italic>Nature Climate Change, 14</italic>(9), 983–988</article-title>
          <year>2024</year>
        </element-citation>
      </ref>

      <ref id="R14">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Navi</surname><given-names>P</given-names></name>
          </person-group>
          <article-title><italic>Studies on effect of integrated nutrient management on early establishment of Casuarina equisetifolia plantation in Sharawati watershed area</italic> [Master’s thesis, University of Agricultural Sciences, Dharwad]</article-title>
          <year>2013</year>
        </element-citation>
      </ref>

      <ref id="R15">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Ravindranath</surname><given-names>N. H</given-names></name>
            <name><surname>Ostwald</surname><given-names>M</given-names></name>
          </person-group>
          <article-title>Methods for estimating aboveground biomass</article-title>
          <source>In &lt;italic&gt;Handbook for greenhouse gas inventory</source>
          <year>2008</year>
        </element-citation>
      </ref>

      <ref id="R16">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Ravi</surname><given-names>A. R., Mahadeva Murthy, M</given-names></name>
            <name><surname>Hanumanthappa</surname><given-names>D. C</given-names></name>
          </person-group>
          <article-title>Performance evaluation of growth and carbon sequestration potential of <italic>Pongamia</italic> [<italic>Pongamia pinnata</italic> (L.) Pierre] germplasms. <italic>International Journal of Environment and Climate Change, 15</italic>(5), 450–457</article-title>
          <year>2025</year>
          <pub-id pub-id-type="doi">10.9734/ijecc/2025/v15i54865</pub-id>
        </element-citation>
      </ref>

      <ref id="R17">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Sahoo</surname><given-names>G. R., Swamy, S. L., Mishra, A</given-names></name>
            <name><surname>Thakur</surname><given-names>T. K</given-names></name>
          </person-group>
          <article-title>Effect of seed source, light and nitrogen levels on biomass and nutrient allocation pattern in seedlings of <italic>Pongamia pinnata</italic>. <italic>Environmental Science and Pollution Research, 28</italic>, 15005–15020</article-title>
          <year>2021</year>
        </element-citation>
      </ref>

      <ref id="R18">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Sharma</surname><given-names>R., Pradhan, L., Kumari, M</given-names></name>
            <name><surname>Bhattacharya</surname><given-names>P</given-names></name>
          </person-group>
          <article-title>Assessment of carbon sequestration potential of tree species in Amity University Campus, Noida. <italic>Environmental Sciences Proceedings, 3</italic>(1), 52</article-title>
          <year>2021</year>
        </element-citation>
      </ref>

      <ref id="R19">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Soni</surname><given-names>R., Bagare, V., Kushwaha, N. K., Anad, A., Maravi, I., Lavishkar, A</given-names></name>
            <name><surname>Dhaka</surname><given-names>A</given-names></name>
          </person-group>
          <article-title>Carbon sequestration potential of different provenance of <italic>Pongamia pinnata</italic> in Central India. <italic>International Journal of Environment and Climate Change, 13</italic>(11), 3057–3064</article-title>
          <year>2023</year>
        </element-citation>
      </ref>

      <ref id="R20">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Subbiah</surname><given-names>B. V</given-names></name>
            <name><surname>Asija</surname><given-names>G. L</given-names></name>
          </person-group>
          <article-title>A rapid procedure for estimation of available N in soil. <italic>Current Science, 25</italic>, 259–260</article-title>
          <year>1956</year>
        </element-citation>
      </ref>

      <ref id="R21">
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name><surname>Walkley</surname><given-names>A</given-names></name>
            <name><surname>Black</surname><given-names>I. A</given-names></name>
          </person-group>
          <article-title>An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. <italic>Soil Science, 37</italic>(1), 29–38</article-title>
          <year>1938</year>
        </element-citation>
      </ref>

      <ref id="R22">
        <element-citation publication-type="book-chapter">
          <person-group person-group-type="author">
            <name><surname>Zeng</surname><given-names>L., Tian, Z., Kang, X., Xu, Y., Zhao, B., Chen, Q</given-names></name>
            <name><surname>Yu</surname><given-names>X</given-names></name>
          </person-group>
          <article-title>Bacterial community drives soil organic carbon transformation in vanadium titanium magnetite tailings through remediation using <italic>Pongamia pinnata</italic>. <italic>Journal of Environmental Management, 360</italic>, 121156</article-title>
          <year>2024</year>
        </element-citation>
      </ref>

    </ref-list>

  </back>

</article>
