<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.52613.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Nutrient loading and farm characteristics of giant gourami fish aquaculture systems in Lake Maninjau, Indonesia: basic knowledge of production performance</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Syandri</surname>
                        <given-names>Hafrijal</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3684-8842</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Azrita</surname>
                        <given-names>Azrita</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2407-5587</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sumiarsih</surname>
                        <given-names>Eni</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>undefined</surname>
                        <given-names>Elfiondri</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2424-5128</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Aquaculture, Faculty of Fisheries and Marine Science, Universitas Bung Hatta, Padang, West Sumatera, 25133, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Department of Biology Education, Faculty of Education, Universitas Bung Hatta, Padang, West Sumatera, 25133, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Department of Aquaculture, Faculty of Fisheries and Marine Science, Universitas Riau, Pekanbaru, 28293, Indonesia</aff>
                <aff id="a4">
                    <label>4</label>Faculty of Humanities, Universitas Bung Hatta, Padang, West Sumatera, 25133, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:syandri_1960@bunghatta.ac.id">syandri_1960@bunghatta.ac.id</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>5</month>
                <year>2021</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2021</year>
            </pub-date>
            <volume>10</volume>
            <elocation-id>378</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>5</day>
                    <month>5</month>
                    <year>2021</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Syandri H et al.</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/10-378/pdf"/>
            <abstract>
                <p>

                    <bold>Background</bold>
                </p>
                <p> Aquaculture systems for giant gourami, 
                    <italic toggle="yes">Osphronemus goramy</italic> Lacep&#x00e8;de (1801), have significantly improved fish production yields and food security in Indonesia. However, these systems also cause serious problems in terms of eutrophication in waterbodies. This study analysed the nutrient loading and farm characteristics of giant gourami in floating cages in Lake Maninjau.</p>
                <p> 
                    <bold>Method</bold>
                </p>
                <p> A total of 20 floating cages were used to record these nutrients in feed supply, female and male juvenile fish, dead fish and harvested fish to estimate nutrient loading. Data on the harvested fish, production cycle, stock number and cage capacity were used to estimate the stocking density, feeding rate, feed efficiency, and net fish yield, and the relationship between feed supply and nutrient loading and farm characteristics was analysed by least squares regression methods.</p>
                <p> 
                    <bold>Results</bold>
                </p>
                <p> A total of 20 floating cages released nutrients into waterbodies at an average rate of 236.27&#x00b1;60.44 kg/cycle for C, 84.52&#x00b1;20.86 kg/cycle for N and 8.70&#x00b1;3.63 kg/cycle for P. On average, fish production for each floating cage (&#x00b1;SD) was 1226&#x00b1;282 kg wet weight/cycle, and the net fish yield was 12.63&#x00b1;2.82 kg/m
                    <sup>3</sup>/cycle. Survival rates ranged from 86.33 to 95.27%/cycle. The production cycles varied from 160 to 175 days with feed conversion ratios between 1.60 and 1.75, feed conversion efficiencies were between 0.58 and 0.63. The production parameters that had strong relationships with the net fish yield were feed supply (
                    <italic toggle="yes">r</italic>

                    <sup>2</sup>=0.960), stocking rates (
                    <italic toggle="yes">r</italic>

                    <sup>2</sup>=0.924) and feeding rates (
                    <italic toggle="yes">r</italic>

                    <sup>2</sup>=0.961). In contrast, the length of the production cycle was not strongly related to the net fish yield (
                    <italic toggle="yes">r</italic>

                    <sup>2</sup>=0.187).</p>
                <p> 
                    <bold>Conclusion</bold>
                </p>
                <p> Nutrient loading from the supplied feed was greater than that from the harvested fish, juvenile fish and dead fish. Increasing the net fish yield in floating cages was better predicted by the stocking densities and feeding levels than by the other factors.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Lake Maninjau</kwd>
                <kwd>giant gourami culture</kwd>
                <kwd>floating cage aquaculture</kwd>
                <kwd>nutrient loading</kwd>
                <kwd>farm characteristics.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Indonesia Education Fund Management Institution (LPDP), Ministry of Finance, Republic of Indonesia</funding-source>
                    <award-id>PRJ-99/LPDP/2019</award-id>
                </award-group>
                <funding-statement>This study was funded by a competitive grant for productive and innovative research (Policy/Governance) from the Indonesia Education Fund Management Institution (LPDP), Ministry of Finance, Republic of Indonesia with contract number PRJ-99/LPDP/2019.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Fish are a source of protein, lipids, carbohydrates, vitamins and essential minerals.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Therefore, fisheries production is very important to increasing food security
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> through capture fisheries and aquaculture sectors.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> To increase the global production of aquaculture, freshwater can be provided in a variety of aquaculture systems, such as freshwater ponds, tanks and floating cages.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>Cage aquaculture is expanding in tropical lakes and has been ongoing for a long time.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Lake Maninjau in Indonesia has used cage aquaculture since 1992 (Nazarudin-Sepakat Aquaculture&#x2019;s farm manager, pers. comm.). Some authors have reported that the dominant species being cultured in tropical lakes is tilapia, and commercial feed pellets are used.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> In the past five years, fish farmers in Lake Maninjau have also conducted giant gourami fish farming activities in floating cages with commercial feed pellets because it is an economically important species for food security in Indonesia, and most of the giant gourami that have been consumed for decades have been produced by aquaculture in freshwater ponds.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>Environmental impacts of tilapia aquaculture operations that have been recorded in tropical lakes have also been reported in Lake Malawi,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Lake Taihu,
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> Lake Victoria,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> and Lake Kariba.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> In contrast, Syandri 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> reported that in a small lake, 
                <italic toggle="yes">i.e.</italic>, Lake Maninjau in Indonesia, tilapia aquaculture is approximately 17 km long by 8 km wide and has mean and maximum depths of approximately 112 and 178 m, respectively. Many studies have been carried out to evaluate nutrient loading, such as C, N and P loadings, and the growth performance of tilapia farms in lakes and reservoirs.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> However, no data are available for nutrient waste loads from feed, juvenile fish, dead fish and harvested fish, including data on the characteristics of farming giant gourami in floating cages, such as stocking density, total stock weight, feed conversion ratio, production cycle, harvest size, feeding level and specific growth rate. To address these issues, the present study was conducted to evaluate the C, N and P nutrient loads of giant gourami fish in floating cages and the operational characteristics to determine the relationship between production and cultivation efficiency to provide basic knowledge about production performance for the future.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethical considerations</title>
                <p>In the present study, no permits from the Government of the Republic of Indonesia were needed to record data on feed supply, initial weight, stocking density, fish production, fish mortality and production cycle of giant gourami in 20 floating cages in Lake Maninjau from 2019 to 2020. The study included collecting sediment and fish and killing as many as three giant gourami in each floating cage to analyse the chemical composition of carbon, nitrogen and phosphorus from the carcasses. This research was recommended by the Research and Community Service Universitas Bung Hatta with sponsorship from the Indonesian Education Management Institution, Ministry of Finance Republic of Indonesia, through a competitive grant called Productive Innovative Research 2019 with contract number PRJ-99/LPDP/2019. Ethical approval was granted by the Ethics Commission for Research and Community service at Universitas Bung Hatta (098/LPPM/Hatta/X-2019).</p>
            </sec>
            <sec id="sec4">
                <title>Study area</title>
                <p>The research was conducted in Lake Maninjau, located in the Agam District, West Sumatera Province, Indonesia, at an altitude of 463 m above sea level with a surface area of 97.37 km
                    <sup>2</sup>, a water volume of 10.4 km
                    <sup>3</sup>, a water retention time of 24.5 years, and a catchment area of 13.26 km
                    <sup>2</sup>. Since 1973, lake water has been used for electric power generation with a capacity of 64 MW, and starting in 1992, the lake has also been used floating-cage fish farming activities.</p>
            </sec>
            <sec id="sec5">
                <title>Study design</title>
                <p>A total of 200 floating cages using for giant gourami aquaculture by fish farmers in Lake Maninjau (Nazaruddin-Sepakat Aquaculture farm manager, personal communication). A total of 20 floating cages for giant gourami culture were used as samples. The sample was determined by simple random sampling using an ordinal method.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> The data recorded were stock size (g), stock number (fish), total stock weight (kg), mortality (fish), feed supply (kg), total harvest weight (kg) and production cycle (days). Each floating cage had a capacity of 75 m
                    <sup>3</sup> (5&#x00d7;5&#x00d7;3 m) and was constructed using a 10 mm mesh sieve. Each floating cage was combined with other resources, such as a buoy, a feeding lodge and cage pathways.</p>
            </sec>
            <sec id="sec6">
                <title>Nutrient analysis</title>
                <p>The chemical compositions carbon (C), nitrogen (N) and phosphorus (P) of the feed, fish and faeces were analysed. For the feed nutrient analysis, the feed samples were floating commercial feed (pelleted). The approximate composition of the feed was 12% moisture, 29% crude protein, 6% crude lipid, 12% crude fibre and 6% crude ash. The fish were sampled from 10 floating cages (3 fish/cage) that were cultured for 150 days, and the fish weighed between 235 and 250 g/fish. Carbon (C) and nitrogen (N) concentrations (as % of dry weight) of the feed and fish were determined by the standard methods of the Association of Official Analytical Chemists.
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup> The phosphorus (P) concentrations were determined using a spectrophotometer (Shimadzu UV-160 UV160 UV-Vis-NIR Spectrophotometer in Hayward, CA, USA) and the molybdate&#x2013;ascorbic acid method indicated by the Association of Official Analytical Chemists
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup> at the Chemistry Laboratory of Universitas Bung Hatta Padang. To complement the data, we also analysed the waste material of cultured giant gourami fish collected with traps under the floating cages. To collect the faeces, ten giant gourami were kept for 3 days in an aquarium with a capacity of 0.48 m
                    <sup>3</sup> (2&#x00d7;0.6&#x00d7;0.4 m), and then, the faeces were deposited on the bottom of the aquarium. Furthermore, the deposited faeces were sucked into a clean bowl and dried. Waste material and faeces were analysed by the AOAC method.
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec7">
                <title>Estimation of nutrient loading and farm characteristics</title>
                <p>The C, N and P loadings from feed, juvenile fish, dead fish and harvested fish were estimated according to the method described by
                    <sup>23</sup>. The following parameters with their corresponding equations were analysed:</p>
                <p>
                    <italic toggle="yes">C</italic> (loss, kg) = (
                    <italic toggle="yes">F</italic> &#x00d7; 
                    <italic toggle="yes">C</italic>
                    <sub>DF</sub> + 
                    <italic toggle="yes">J</italic> &#x00d7; 
                    <italic toggle="yes">C</italic>
                    <sub>DJ</sub>) &#x2212; (
                    <italic toggle="yes">H</italic> &#x00d7; 
                    <italic toggle="yes">C</italic>
                    <sub>DH</sub> + 
                    <italic toggle="yes">M</italic> &#x00d7; 
                    <italic toggle="yes">C</italic>
                    <sub>DM</sub>)</p>
                <p>
                    <italic toggle="yes">N</italic> (loss, kg) = (
                    <italic toggle="yes">F</italic> &#x00d7; 
                    <italic toggle="yes">N</italic>
                    <sub>DF</sub> + 
                    <italic toggle="yes">J</italic> &#x00d7; 
                    <italic toggle="yes">N</italic>
                    <sub>DJ</sub>) &#x2212; (
                    <italic toggle="yes">H</italic> &#x00d7; 
                    <italic toggle="yes">N</italic>
                    <sub>DH</sub> + 
                    <italic toggle="yes">M</italic> &#x00d7; 
                    <italic toggle="yes">N</italic>
                    <sub>DM</sub>)</p>
                <p>
                    <italic toggle="yes">P</italic> (loss, kg) = (
                    <italic toggle="yes">F</italic> &#x00d7; 
                    <italic toggle="yes">P</italic>
                    <sub>DF</sub> + 
                    <italic toggle="yes">J</italic> &#x00d7; 
                    <italic toggle="yes">P</italic>
                    <sub>DJ</sub>) &#x2212; (
                    <italic toggle="yes">H</italic> &#x00d7; 
                    <italic toggle="yes">P</italic>
                    <sub>DH</sub> + 
                    <italic toggle="yes">M</italic> &#x00d7; 
                    <italic toggle="yes">P</italic>
                    <sub>DM</sub>)</p>
                <p>where 
                    <italic toggle="yes">F</italic>, 
                    <italic toggle="yes">J</italic>, 
                    <italic toggle="yes">H</italic> and 
                    <italic toggle="yes">M</italic> are the dry weight (kg) of the supplied feed, stocked juvenile fish, harvested fish and total dead fish in floating cages, respectively. The data were recorded at the end of each production cycle from the 20 floating cages. 
                    <italic toggle="yes">C</italic>
                    <sub>DF</sub>, 
                    <italic toggle="yes">C</italic>
                    <sub>DJ</sub>, 
                    <italic toggle="yes">C</italic>
                    <sub>DH</sub> and 
                    <italic toggle="yes">C</italic>
                    <sub>DM</sub> are the carbon contents in dry feed (DF), dry juvenile (DJ), dry harvest (DH) and dry mortality (DM), respectively.</p>
                <p>The farm characteristic parameters were analysed using the following formulas:</p>
                <p>Specific growth rate (%/day)= 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:mi>Log</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>harvests</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>weight</mml:mi>
                                            <mml:mo>&#x2212;</mml:mo>
                                            <mml:mi>Log</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>stock</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>weight</mml:mi>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                                <mml:mrow>
                                    <mml:mi>Culture</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>days</mml:mi>
                                </mml:mrow>
                            </mml:mfrac>
                            <mml:mo>&#x00d7;</mml:mo>
                            <mml:mn>100</mml:mn>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Gross fish yield (kg/m
                    <sup>3</sup>) = 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:mi>Total</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>harvest</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>number</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>in</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>individual</mml:mi>
                                            <mml:mo>&#x00d7;</mml:mo>
                                            <mml:mi>average</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>final</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>fish</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>weight</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>in</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>kg</mml:mi>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                                <mml:mrow>
                                    <mml:mi>Cage</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>capacity</mml:mi>
                                </mml:mrow>
                            </mml:mfrac>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Net fish yield (kg/m
                    <sup>3</sup>) = 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:mrow>
                                        <mml:mo>(</mml:mo>
                                        <mml:mrow>
                                            <mml:mi>Total</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>number</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>of</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>fish</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>harvest</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>in</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>kg</mml:mi>
                                            <mml:mo>&#x2212;</mml:mo>
                                            <mml:mi>total</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>stock</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>weight</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>in</mml:mi>
                                            <mml:mtext>&#x2009;</mml:mtext>
                                            <mml:mi>kg</mml:mi>
                                        </mml:mrow>
                                        <mml:mo>)</mml:mo>
                                    </mml:mrow>
                                </mml:mrow>
                                <mml:mrow>
                                    <mml:mi>Cage</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>capacity</mml:mi>
                                </mml:mrow>
                            </mml:mfrac>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Feed conversion ratio (FCR) = 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:mi>Feed</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>supply</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>in</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>kg</mml:mi>
                                </mml:mrow>
                                <mml:mrow>
                                    <mml:mi>Total</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>harvest</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>weight</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>in</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>kg</mml:mi>
                                </mml:mrow>
                            </mml:mfrac>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Feed conversion efficiency (FCE) = 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mn>1</mml:mn>
                                <mml:mrow>
                                    <mml:mi>Feed</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>conversion</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>ratio</mml:mi>
                                </mml:mrow>
                            </mml:mfrac>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Feeding rate (%) = 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:mi>Average</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>weight</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>gain</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>per</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>day</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>in</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>kg</mml:mi>
                                </mml:mrow>
                                <mml:mrow>
                                    <mml:mi>Mean</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>harvests</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>size</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>in</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mtext>g</mml:mtext>
                                </mml:mrow>
                            </mml:mfrac>
                            <mml:mo>&#x00d7;</mml:mo>
                            <mml:mn>100</mml:mn>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>Survival rate (%) = 
                    <inline-formula>
                        <mml:math display="block">
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:mi>Total</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>number</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>of</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>fish</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>harvested</mml:mi>
                                </mml:mrow>
                                <mml:mrow>
                                    <mml:mi>Total</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>number</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>of</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>fish</mml:mi>
                                    <mml:mtext>&#x2009;</mml:mtext>
                                    <mml:mi>stocked</mml:mi>
                                </mml:mrow>
                            </mml:mfrac>
                            <mml:mo>&#x00d7;</mml:mo>
                            <mml:mn>100</mml:mn>
                        </mml:math>
                    </inline-formula>
                </p>
                <p>The relationships between feed supply and nutrient load, harvested fish, production cycle and net fish yield, feeding level, feed conversion efficiency, stocking density and net fish yield were estimated by the least square&#x2019;s regression method,
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> and the figures were plotted using Microsoft Office Professional plus 2019.</p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="results">
            <title>Results</title>
            <sec id="sec9">
                <title>C, N and P loadings from giant gourami fish in floating cages</title>
                <p>The C, N and P contents of the feed, fish and faeces of the giant gourami in this study are presented in 
                    <xref ref-type="table" rid="T1">Table 1</xref>. Furthermore, the estimated mass balances of C, N and P of the feed, juvenile fish, dead fish and harvested fish from the 20 floating cages are summarized in 
                    <xref ref-type="table" rid="T2">Table 2</xref>.
                    <table-wrap id="T1" orientation="portrait" position="float">
                        <label>Table 1. </label>
                        <caption>
                            <title>Carbon (C), nitrogen (N) and phosphorus (P) composition (%) of the dry weight of the feed, harvested fish and faeces (&#x00b1;SD).</title>
                        </caption>
                        <table content-type="article-table" frame="hsides">
                            <thead>
                                <tr>
                                    <th align="left" colspan="1" rowspan="1" valign="top"/>
                                    <th align="left" colspan="1" rowspan="1" valign="top">C</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">N</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">P</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">H
                                        <sub>2</sub>O</th>
                                </tr>
                            </thead>
                            <tbody>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">Feed</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">20.23&#x00b1;0.10</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">6.02&#x00b1;0.29</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">0.71&#x00b1;0.03</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">8.75&#x00b1;0.01</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">Fish</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">16.56&#x00b1;0.13</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">3.01&#x00b1;0.07</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">0.40&#x00b1;0.03</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">68.90&#x00b1;0.77</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">Faeces</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">14.21&#x00b1;1.65</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">1.20&#x00b1;0.05</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">0.95&#x00b1;0.02</td>
                                    <td align="left" colspan="1" rowspan="1" valign="bottom">72.29&#x00b1;0.40</td>
                                </tr>
                            </tbody>
                        </table>
                    </table-wrap>
                    <table-wrap id="T2" orientation="portrait" position="float">
                        <label>Table 2. </label>
                        <caption>
                            <title>Carbon (C), nitrogen (N) and phosphorus (P) mass balances estimated from the 20 floating cages (mean &#x00b1; SD in kg/cage/cycle), and the numbers in parentheses are the range of the nutrient mass balances of C, N and P from the feed, juvenile fish, dead fish and harvested fish (kg/cage/cycle).</title>
                        </caption>
                        <table content-type="article-table" frame="hsides">
                            <thead>
                                <tr>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Nutrient</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Fish feed</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Juvenile fish</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Mortality</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Fish harvest</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">C, N, P loss (kg)</th>
                                </tr>
                            </thead>
                            <tbody>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">C</td>
                                    <td align="char" char="&#x00d7;" colspan="1" rowspan="1" valign="top">412.19&#x00b1;95.72
                                        <break/>(245.27&#x2013;592.23)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">44.49&#x00b1;11.67
                                        <break/>(23.94&#x2013;63.84)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">17.40&#x00b1;3.68
                                        <break/>(11.84&#x2013;26.23)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">203.01&#x00b1;46.74
                                        <break/>(11.84&#x2013;26.23)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">236.27&#x00b1;60.44
                                        <break/>(125.65&#x2013;335.95)</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">N</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">121.93&#x00b1;28.31
                                        <break/>(72.55&#x2013;175.19)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">8.39&#x00b1;2.20
                                        <break/>(4.51&#x2013;12.04)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.73&#x00b1;0.94
                                        <break/>(3.28&#x2013;7.27)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">41.06&#x00b1;9.45
                                        <break/>(25.55&#x2013;60.93)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">84.52&#x00b1;20.86
                                        <break/>(46.74&#x2013;121.06)</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">P</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">14.38&#x00b1;3.33
                                        <break/>(8.55&#x2013;20.66)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.11&#x00b1;0.29
                                        <break/>(0.6&#x2013;1.6)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.53&#x00b1;0.11
                                        <break/>(0.36&#x2013;0.80)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">6.25&#x00b1;1.43
                                        <break/>(3.89&#x2013;9.27)</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">8.70&#x00b1;3.63
                                        <break/>(4.73&#x2013;12.40)</td>
                                </tr>
                            </tbody>
                        </table>
                    </table-wrap>
                </p>
                <p>Fish feed was the main factor accounting for the C, N and P nutrient loadings of the giant gourami reared in floating cages, while stocked juvenile fish and dead fish accounted for a minor amount (
                    <xref ref-type="table" rid="T2">Table 2</xref>). The average C, N and P loadings estimated from the floating cages were 236.27 kg/cycle, 84.52 kg/cycle and 8.70 kg/cycle, respectively, while the C, N and P loadings from each floating cage of giant gourami fish are displayed in 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>. Feed supply and carbon, nitrogen, and phosphorus loadings had linear relationships for the giant gourami reared in floating cages as shown by C = 0.1339 &#x00d7; FS &#x2212; 37.238 (with 
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.988, 
                    <xref ref-type="fig" rid="f2">Figure 2</xref>), N = 0.0455 &#x00d7; FS &#x2212; 8.1604 (with 
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.996, 
                    <xref ref-type="fig" rid="f3">Figure 3</xref>), and P = 0.0048 &#x00d7; FS &#x2212; 1.117 (with 
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.991, 
                    <xref ref-type="fig" rid="f4">Figure 4</xref>). The feed supply and net fish yield (kg/m
                    <sup>3</sup>/cycle) relationship for the giant gourami reared in floating cages was shown by a net fish yield=0.0059&#x00d7;FS+0.7396 (with 
                    <italic toggle="yes">r</italic>
                    <sup>2</sup>=0.9609, 
                    <xref ref-type="fig" rid="f5">Figure 5</xref>).
                    <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                        <label>Figure 1. </label>
                        <caption>
                            <title>C, N and P loadings of giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure1.gif"/>
                    </fig>
                    <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                        <label>Figure 2. </label>
                        <caption>
                            <title>Feed supply and carbon loading relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure2.gif"/>
                    </fig>
                    <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                        <label>Figure 3. </label>
                        <caption>
                            <title>Feed supply and nitrogen loading relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure3.gif"/>
                    </fig>
                    <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                        <label>Figure 4. </label>
                        <caption>
                            <title>Feed supply and phosphorus loading relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure4.gif"/>
                    </fig>
                    <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                        <label>Figure 5. </label>
                        <caption>
                            <title>Feed supply and net fish yield (kg/m
                                <sup>3</sup>/cycle) relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure5.gif"/>
                    </fig>
                </p>
            </sec>
            <sec id="sec10">
                <title>General characteristics of farms</title>
                <p>In this study, a 75 m
                    <sup>3</sup> floating-cage capacity was used by fish farmers (5 &#x00d7; 5 &#x00d7; 3 m). The giant gourami fish stock number was between 40 individuals/m
                    <sup>3</sup> (3000 individuals/cage) and 106 individuals/m
                    <sup>3</sup> (8000 individuals/cage), with an average fish stock number of 75 individuals/m
                    <sup>3</sup>. A mean weight of approximately 50 g for juveniles was stocked at the beginning of culture and reared from 160 to 175 days. To maximize the growth of giant gourami, all fish farmers used commercial, floating feed pellets (30% crude protein and 5% crude lipid). Based on recorded data by the fish farmers, the fish were fed daily at 09:00&#x2013;10:00 h and 16:00&#x2013;17.00 h. The amount of feed provided was adjusted according to temporal changes in biomass and the growth of the fish in the floating cages during the production cycle. The results of our analysis were that their feeding levels ranged from 1.24 to 3.47% of their body mass. Harvested fish weight ranged from 225 to 290 g/fish, and the gross yield of fish was 10.4 and 24.25 kg/m
                    <sup>3</sup>/cycle, while the net fish yield was 8.17&#x2013;18.92 kg/m
                    <sup>3</sup>/cycle. The giant gourami were reared in the floating cages for each production cycle of 160 to 175 days, and the specific growth rate ranged from 0.87 to 1.04%/day. The net fish yield (kg/m
                    <sup>3</sup>/cycle) in the floating cages was better predicted by the stocking rates (fish/m
                    <sup>3</sup>) (
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.9246, 
                    <xref ref-type="fig" rid="f6">Figure 6</xref>) than by the length of the production cycles (
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.1875, 
                    <xref ref-type="fig" rid="f7">Figure 7</xref>). In addition, the supplied feed was not strongly related to the survival of the giant gourami (
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.6123). On the other hand, there was a strong linear correlation between feeding levels and the net fish yield (kg/m
                    <sup>3</sup>/cycle) (
                    <italic toggle="yes">r</italic>
                    <sup>2</sup> = 0.9611, 
                    <xref ref-type="fig" rid="f8">Figure 8</xref>).
                    <fig fig-type="figure" id="f6" orientation="portrait" position="float">
                        <label>Figure 6. </label>
                        <caption>
                            <title>Stocking rates and net fish yield (kg/m
                                <sup>3</sup>/cycle) relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr6" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure6.gif"/>
                    </fig>
                    <fig fig-type="figure" id="f7" orientation="portrait" position="float">
                        <label>Figure 7. </label>
                        <caption>
                            <title>Production cycle and net fish yield (kg/m
                                <sup>3</sup>/cycle) relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr7" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure7.gif"/>
                    </fig>
                    <fig fig-type="figure" id="f8" orientation="portrait" position="float">
                        <label>Figure 8. </label>
                        <caption>
                            <title>Feeding rates and net fish yield (kg/m
                                <sup>3</sup>/cycle) relationship for giant gourami reared in floating cages.</title>
                        </caption>
                        <graphic id="gr8" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/55914/9b2cf6c1-1242-4a55-a597-9b7b2ebe41f2_figure8.gif"/>
                    </fig>
                </p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="discussion">
            <title>Discussion</title>
            <sec id="sec12">
                <title>Nutrient loads from floating cages</title>
                <p>Many studies have reported that aquaculture has a negative impact on the aquatic environment,
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref25">25</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup> that is generally caused by waste loads of C, N and P from supplied feed, faeces and dead fish.
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup> In this study, the C, N and P loadings from the supplied feed were more predominant than those from the harvested fish, juvenile fish and dead fish because the content of C, N and P in the feed was higher than that in the harvested fish, juvenile fish and dead fish (
                    <xref ref-type="table" rid="T1">Table 1</xref>). In addition, the average feed conversion ratio (FCR) of the cultured giant gourami cultured was 1.65, and the feed conversion efficiency (FCE) was 0.60 (1 kg of feed fish results in 0.60 kg of fish). This result suggests that the waste load was 0.40 kg (1 kg feed&#x2212;0.60 kg of fish). These FCE values were lower than those of Nile tilapia and common carp cultured in floating cages in Lake Maninjau.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup> Increasing amounts of C, N and P released into waterbodies from intensive aquaculture activities can cause or accelerate eutrophication in natural water systems.
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref34">34</xref>
                    </sup> Nevertheless, accelerated eutrophication also depends on diet composition, feed characteristics, feed intake and feed quality.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref35">35</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref37">37</xref>
                    </sup> On the other hand, accelerated eutrophication in freshwater is largely determined by phosphorus. Therefore, efforts to control eutrophication in waterbodies focus mostly on phosphorus reduction. In the present study, the P load from giant gourami was 4.29 kg/tonne of feed and lower than the P load from common carp (11.45 kg/tonne of feed) and Nile tilapia (9.11 kg/tonne of feed).
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup> Therefore, giant gourami fish farming can be considered for long-term development based on the aquaculture carrying capacity in Lake Maninjau and other regions.</p>
                <p>Trophic food habits of fish might also affect the C, N and P was retained in the fish body because these habits are correlated with digestibility coefficients. Under natural conditions, giant gourami is an herbivorous fish.
                    <sup>
                        <xref ref-type="bibr" rid="ref38">38</xref>
                    </sup> In comparison to other fish, herbivorous fishes have more efficient digestion of feed because their extralong intestines contain special enzymes and microbes, such as cellulose enzymes and Bacteroides and Cetobacterium.
                    <sup>
                        <xref ref-type="bibr" rid="ref39">39</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref40">40</xref>
                    </sup> In the present study, the types of enzymes and microbial communities that were dominant in the giant gourami intestines are poorly understood. Regardless, herbivorous fish such as giant gourami release less N and P nutrients into waterbodies than omnivorous fish and carnivorous fish such as Nile tilapia, 
                    <italic toggle="yes">Oreochromis niloticus</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref38">38</xref>
                    </sup> and Crimson snapper, 
                    <italic toggle="yes">Lutjanus erythropterus</italic>.
                    <sup>
                        <xref ref-type="bibr" rid="ref41">41</xref>
                    </sup>
                </p>
                <p>In the present study, in comparison with the harvested and juvenile fish, the dead fish released only a small amount of nutrients into the waterbodies during the production cycle. Conversely, the availability of N and P in the waterbodies was significantly high after the extensive tilapia deaths due to upwelling (local namely: 
                    <italic toggle="yes">tubo belerang</italic>) and had a negative effect on the water quality of Lake Maninjau.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> In contrast, giant gourami did not experience extensive fish death because this species has a labyrinth organ. Many scientists have reported that the release of significant amounts of C, N and P waste loads into waterbodies from feed and extensive fish deaths has a negative environmental impact.
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref42">42</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref45">45</xref>
                    </sup> In fact, feed supply and C, N and P loadings had a strong relationship with giant gourami cultured in floating cages, except in terms of fish mortality.</p>
            </sec>
            <sec id="sec13">
                <title>General characteristics of farms</title>
                <p>The 20,608 units of floating cages used for rearing Nile tilapia and common carp have exceeded the estimated aquaculture carrying capacity in Lake Maninjau over the past several years.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> This factor has had a negative impact on the water quality of Lake Maninjau, and the net yields of Nile tilapia and common carp were 14.42 and 14.11 kg/m
                    <sup>3</sup>/cycle, respectively.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref46">46</xref>
                    </sup> In contrast, poor water quality does not have a negative impact on the growth and mortality of giant gourami because this species is resistant to poor water quality. Hence, the survival of giant gourami in floating cages ranged from 86.33 to 95.27%/cycle, and the net fish yield was as high as 18.92 kg/m
                    <sup>3</sup>/cycle. In addition, the survival of giant gourami also depended on feeding level during the rearing period. Our analysis of the feeding level of giant gourami by fish farmers varied between 1.24 and 3.47%/body weight/day, and the majority of the fish farmers (80%) provided pellet feed at less than 3%/body weight/day. For giant gourami, a feeding level of 4-6%/body weight/day has been recommended.
                    <sup>
                        <xref ref-type="bibr" rid="ref47">47</xref>
                    </sup> Similarly, Skov 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref48">48</xref>
                    </sup> concluded that biomass weight gain and the specific growth rate of Nile tilapia depend on feeding rate and the feed conversion ratio. In this study, the feeding rate and feed conversion ratio had a strong linear correlation with the net fish yield. Therefore, feeding levels played a significant role in increasing the net giant gourami yield. Many studies have reported that a lower feeding level might result in slow growth and inefficient aquaculture, whereas overfeeding may lead to feed waste, inefficiency and negative environmental impacts.
                    <sup>
                        <xref ref-type="bibr" rid="ref37">37</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref49">49</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref51">51</xref>
                    </sup>
                </p>
                <p>On the other hand, the length of the production cycle did not have a strong linear correlation with the net giant gourami yield (kg/m
                    <sup>3</sup>/cycle). In contrast, the stocking rate had a strong correlation with the net fish yield. In this study, the stocking rate ranged from 40 to 107 fish/m
                    <sup>3</sup>, and the majority (70%) ranged between 40 and 80 fish/m
                    <sup>3</sup>. Therefore, we recommended achieving a market size of 300 g/fish and a net fish yield (18.92 kg/m
                    <sup>3</sup>/cycle) using a stocking density of 107 fish/m
                    <sup>3</sup> for 170 days of culture. Conversely, if the equation by Schmittou
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> was applied to meet the target mean weight of 300 g/fish and net fish yield at harvest of 30.93 kg/m
                    <sup>3</sup>/cycle, then we recommend using a stocking density of 106 fish/m
                    <sup>3</sup>, with a length production cycle of 170 days. Therefore, to increase production performance of giant gourami in floating cages the management strategy must be to control the optimal seed stock, fish health, feed quality, feeding level, feeding time and husbandry factors. Based on current scientific knowledge, scientists strongly advocate a combination of optimal stocking density, feeding practices, rearing techniques and eco-dam system to increase fish production performance and reduce the aquaculture waste released into waterbodies.
                    <sup>
                        <xref ref-type="bibr" rid="ref41">41</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref52">52</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref53">53</xref>
                    </sup>
                </p>
            </sec>
        </sec>
        <sec id="sec14" sec-type="conclusion">
            <title>Conclusion</title>
            <p>This research analysed the carbon, nitrogen and phosphorus loadings and the farm characteristics of giant gourami reared in floating cages in Lake Maninjau. There was a strong linear relationship between feed supply and nutrient loading for the reared giant gourami. Nutrient loading from feed supply was greater than that from juvenile fish, dead fish and harvested fish. Keys to increasing the net fish yield were stocking density and feeding level. The maximum target for the net fish yield and market size was achieved for 160 days. Therefore, giant gourami cultivation is an important practice to consider continuing in Lake Maninjau in accordance with the aquaculture carrying capacity because the phosphorus released into the waterbodies was very low, and this species also has a high survival rate in floating cages.</p>
        </sec>
        <sec id="sec15">
            <title>Data availability</title>
            <sec id="sec16">
                <title>Underlying data</title>
                <p>Fig share: Underlying data for &#x2018;Nutrient loading and farm characteristics of giant gourami fish aquaculture systems in Lake Maninjau, Indonesia: basic knowledge of production performance&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.14369999">https://doi.org/10.6084/m9.figshare.14369999</ext-link>
                </p>
                <p>The project contains the following underlying data:</p>
                <p>Table 1. Carbon (C), nitrogen (N) and phosphorus (P) composition (%) of the dry weight of the feed, harvested fish and faeces</p>
                <p>Table 2. Raw data carbon loss from 20 floating cages</p>
                <p>Table 3. Raw data nitrogen loss from 20 floating cages</p>
                <p>Table 4. Raw data phosphorus loss from 20 floating cages</p>
                <p>Table 5. Raw data production performance of giant gourami fish from floating cages in Lake Maninjau</p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors thank for Rionald Silaban the Director of Indonesian Education Fund Management Institution, Ministry of Finance Republic of Indonesia, for supporting this study through the competitive grant for productive and innovative research (policy/governance) 2019. We appreciate all of the students (Puji Kurniawan and Muhammad Vajri Djauhari), fish farmers (Satria Aferi and Nazarudin) and partners (Ermanto) who helped the authors during data collection in the field.</p>
        </ack>
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    </back>
    <sub-article article-type="reviewer-report" id="report92790">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.55914.r92790</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Aura</surname>
                        <given-names>Christopher Mulanda</given-names>
                    </name>
                    <xref ref-type="aff" rid="r92790a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9590-9652</uri>
                </contrib>
                <aff id="r92790a1">
                    <label>1</label>Department of Freshwater Department, Kenya Marine and Fisheries Research Institute, Kisumu, Kenya</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>14</day>
                <month>9</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Aura CM</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport92790" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.52613.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>I have read through the paper and it is well written and at the same time, it will add value to cage culture knowledge on Ecosystem Approach to Aquaculture.</p>
            <p> </p>
            <p> Although the article is well written, there is a need to provide some data on selected physio-chemical parameters such as Oxygen, Conductivity, depth etc. that may have a role in the discussion of the results (i.e. are factors affecting nutrient loading and farm characteristics covered in terms of data to help in the discussion).</p>
            <p> </p>
            <p> Furthermore, it would be important if the methodology adopts a comparing scenario to offer justifiable results.</p>
            <p> </p>
            <p> If the above major comments are incorporated, the paper will be in good shape.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Aquatic sciences</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report88018">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.55914.r88018</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Hasan</surname>
                        <given-names>Zahidah</given-names>
                    </name>
                    <xref ref-type="aff" rid="r88018a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0129-2685</uri>
                </contrib>
                <aff id="r88018a1">
                    <label>1</label>Department of Fisheries. Faculty of Fisheries and Marine Science, Padjadjaran University, Jatinangor, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>7</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Hasan Z</copyright-statement>
                <copyright-year>2021</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport88018" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.52613.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This article is clearly written. The literature cited are mostly up to date. The methods are mostly clearly written except for those related to the collection of dead fish and waste material.</p>
            <p> </p>
            <p> Waste material collection needs to be explained further. How long is the trap installed; is the trap removed periodically or left throughout the cultivation period? Is there also faeces in the waste material component?</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>I am aquaculturist majoring in water quality</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
