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<front>
<journal-meta>
<journal-id journal-id-type="pmc">jar</journal-id>
<journal-id journal-id-type="nlm-ta">jar</journal-id>
<journal-id journal-id-type="publisher-id">jar</journal-id>
<journal-title-group>
<journal-title>Journal of Animal Research</journal-title>
</journal-title-group>
<issn pub-type="ppub">2249-6629</issn>
<issn pub-type="epub">2277-940X</issn>
<publisher>
<publisher-name>Association of Mastitis</publisher-name>
<publisher-loc>India</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="other">jar-10-5-016</article-id>
<doi-group>
<journal-doi>10.30954/2277-940X</journal-doi>
<article-doi><ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://dx.doi.org/10.30954/2277-940X.05.2020.16">10.30954/2277-940X.05.2020.16</ext-link></article-doi>
</doi-group>
<title-group>
<article-title>Assessment of Ichthyofaunal Diversity of River Sutlej in District Ludhiana, Punjab (India)</article-title>
</title-group>
<contrib-group>
<contrib id="author-1">
<name><surname>Kumar</surname><given-names>Jitendra</given-names></name>
<xref ref-type="corresp" rid="cor001"><sup>*</sup></xref>
</contrib>
<contrib id="author-2">
<name><surname>Shabih Hassan</surname><given-names>Syed</given-names></name>
</contrib>
<contrib id="author-3">
<name><surname>Tewari</surname><given-names>Grishma</given-names></name>
</contrib>
<contrib id="author-4">
<name><surname>Narayan Datta</surname><given-names>Surjya</given-names></name>
</contrib>
</contrib-group>
<aff><deptname>Department of Fisheries Resource Management</deptname>, <instname>College of Fisheries, Guru Angad Dev Veterinary &#x0026; Animal Sciences University</instname>, <instcity>Ludhiana</instcity>, <inststate>Punjab</inststate>, <instcountry>INDIA</instcountry></aff>
<author-notes>
<corresp id="cor001">*Corresponding author: J Kumar; E-mail: <email>jitendrafishco@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>10</month>
<year iso-8601-date="2020">2020</year>
</pub-date>
<volume>10</volume>
<issue>5</issue>
<fpage>783</fpage>
<lpage>789</lpage>
<history>
<date date-type="received" iso-8601-date="2020-Aug-26">
<day>26</day>
<month>Aug</month>
<year>2020</year>
</date>
<date date-type="revised" iso-8601-date="2020-Sept-17">
<day>17</day>
<month>Sept</month>
<year>2020</year>
</date>
<date date-type="accepted" iso-8601-date="2020-Oct-15">
<day>15</day>
<month>Oct</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; Association of Mastitis, India</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Association of Mastitis</copyright-holder>
</permissions>
<self-uri content-type="pdf" xlink:href="jar-10-5-016.pdf"></self-uri>
<abstract>
<title>ABSTRACT</title>
<p>The aim of the present paper was to describe the first complete and comprehensive picture on ichthyofaunal diversity of river Sutlej. The findings of the investigation will be an imperative part of the ecological database from river Sutlej. The field data were collected fortnightly from the fish market. The different diversity indices <italic>viz</italic>., univariate and multivariate analyses were analyzed by PRIMER-E statistical package. A total of 60 species belonging to 43 genera, 17 families and 7 orders were recorded during the investigation. The Margalef richness index (12.14), Shannon-Wiener index (3.871) and Simpson index (0.979) was observed to be highest during Nov. 2019 and seasonally during post-monsoon season. The present study provides a baseline database with respect to fish species diversity for planning effective conservation measures to obtain sustainable fish production.</p>
<sec>
<title>HIGHLIGHTS</title>
<list list-type="simple">
<list-item><label><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/highlistsymbol.jpg"/></label><p>A total of 60 species belonging to 43 genera, 17 families were recorded</p></list-item>
<list-item><label><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/highlistsymbol.jpg"/></label><p>The highest diversity was observed during post-monsoon season</p></list-item>
<list-item><label><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/highlistsymbol.jpg"/></label><p>Baseline database will help to obtain sustainable fish production</p></list-item>
</list>
</sec>
</abstract>
<kwd-group>
<title>Keywords</title>
<kwd>Ichthyofauna</kwd>
<kwd>Fish Diversity</kwd>
<kwd>Fish Market</kwd>
<kwd>River Sutlej</kwd>
<kwd>Ludhiana</kwd>
<kwd>Punjab</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="3"/>
<ref-count count="17"/>
<page-count count="8"/>
</counts>
</article-meta>
</front>
<body>
<p>The imperative component of the earth in the existence of life and the most phenomenal component of life is its assorted variety. Biodiversity has been viewed in many ways depending upon the perspectives of people from different spheres. Fishes are the most diversified group among vertebrates, with 33,600 species (Froese and Pauly, 2019) characterized by their diversity in morphology. The river Sutlej water is distributed under the Indus river system and mostly diverted for the canals in Punjab. Around 56 fish species were recorded from Budhha Nullah (a seasonal tributary of river Sutlej) prior to 1964 (Anonymous, 2019) but these days all fishes are wiped-out from Budhha Nullah (Jaidka and Hundal, 2016) due to the heavy load of pollution as well as excess toxicity posing serious threat to ichthyofauna of the river (Jaidka and Hundal, 2016). The information on ichthyofauna diversity comprising species abundance, migration and conservation prioritization is lacking for riverine resources of Punjab including river Sutlej. Hence, the present study was commenced to describe the comprehensive picture on ichthyofauna of river Sutlej at district Ludhiana, Punjab. The investigation was also started to make the checklist of ichthyofauna and suggest appropriate measures for the conservation of river Sutlej at Ludhiana.</p>
<sec id="s1">
<title>MATERIALS AND METHODS</title>
<sec id="s1-1">
<title>Site selection, sampling methods and data collection</title>
<p>Tajpur fish market (30&#x00B0; 55&#x2019; 8.12'&#x2019; N, 75&#x00B0; 54&#x2019; 1.48'&#x2019; E) and Haibowal fish market (Devnagar) (30&#x00B0; 55&#x2019; 05.3'&#x2019; N, 75&#x00B0; 47&#x2019; 29.9'&#x2019; E) was one of the important fish markets in District Ludhiana and selected for the data collection fortnightly from the fish markets from April 2019 to March 2020. During the field data collection, it was made sure that the fishes accounted were captured from the different stretches of river Sutlej near District Ludhiana and identification was done using taxonomic keys (Froese and Pauly 2019; Jayaram, 1981).</p>
<p><bold>How to cite this article:</bold> Kumar, J., Hassan, S.S., Tewari, G. and Datta, S.N. (2020). Assessment of ichthyofaunal diversity of river Sutlej in District Ludhiana, Punjab (India). <italic>J. Anim. Res</italic>., <bold>10</bold>(5): 783&#x2013;789.</p>
<p><bold>Source of Support:</bold> None; <bold>Conflict of Interest:</bold> None</p>
</sec>
<sec id="s1-2">
<title>Diversity measurement</title>
<p>The different diversity indices such as Shannon-Wiener index (H&#x2019;), Simpson index, Margalef richness index was used to estimate the fish diversity of river Sutlej along its course in Ludhiana. The K- Dominance plot was drawn by ranking the species in decreasing order of abundance to relate the species richness and abundance (Warwick, 1986). Multivariate analysis of the data was used to determine differences in ecological structure between samples. The data were transformed (presence/ absence) before the analysis for multivariate analysis. The computation of matrices of similarities between different pairs of the sample was based on Bray - Curtis similarities measure.</p>
<disp-formula><mml:math display="block"><mml:mrow><mml:mi>s</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mn>100</mml:mn><mml:mfenced close="}" open="{"><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mstyle displaystyle='true'><mml:munderover><mml:mo>&#x2211;</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mi>p</mml:mi></mml:munderover><mml:mrow><mml:mfenced><mml:mrow><mml:mfrac><mml:mrow> <mml:mo>&#x007C;</mml:mo><mml:mi>Y</mml:mi><mml:mi>i</mml:mi><mml:mi>j</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>Y</mml:mi><mml:mi>i</mml:mi><mml:mi>k</mml:mi><mml:mo>&#x007C;</mml:mo></mml:mrow><mml:mrow> <mml:mi>Y</mml:mi><mml:mi>i</mml:mi><mml:mi>j</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>Y</mml:mi><mml:mi>i</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:mfenced></mml:mrow></mml:mstyle></mml:mrow></mml:mfenced></mml:mrow></mml:math></disp-formula>
<p>Non-metric Multi-Dimensional Scaling (MDS) was used to understand the interrelationship between the samples on a map. The MDS stress value indicates the goodness of the fit using the formula:</p>
<disp-formula><mml:math display="block"><mml:mrow><mml:mtext>Stress</mml:mtext><mml:mo>=</mml:mo><mml:mstyle displaystyle='true'><mml:msub><mml:mo>&#x2211;</mml:mo><mml:mi>j</mml:mi></mml:msub><mml:mrow></mml:mrow></mml:mstyle><mml:mstyle displaystyle='true'><mml:msub><mml:mo>&#x2211;</mml:mo><mml:mi>k</mml:mi></mml:msub><mml:mrow><mml:msup><mml:mrow><mml:mo stretchy='false'>(</mml:mo><mml:mi>d</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>d</mml:mi><mml:mi>j</mml:mi><mml:mi>k</mml:mi><mml:mo stretchy='false'>)</mml:mo></mml:mrow><mml:mn>2</mml:mn></mml:msup><mml:mo>/</mml:mo></mml:mrow></mml:mstyle><mml:mstyle displaystyle='true'><mml:msub><mml:mo>&#x2211;</mml:mo><mml:mi>j</mml:mi></mml:msub><mml:mrow></mml:mrow></mml:mstyle><mml:mstyle displaystyle='true'><mml:msub><mml:mo>&#x2211;</mml:mo><mml:mi>k</mml:mi></mml:msub><mml:mrow><mml:mi>d</mml:mi><mml:mi>j</mml:mi><mml:msup><mml:mi>k</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:mstyle></mml:mrow></mml:math></disp-formula>
<p>The variation in taxonomic distinctness intended for each sample was superimposed on the funnel to find out the deviation from the normal distribution (within the 95% confidence limit or not). All univariate and multivariate analyses was done by PRIMER-E (Ver. 6.1.6) statistical package (Clarke and Gorley, 2006; Kumar <italic>et al</italic>., 2020).</p>
</sec>
</sec>
<sec id="s2">
<title>RESULTS AND DISCUSSION</title>
<sec id="s2-1">
<title>Icthyofauna diversity</title>
<p>A total of 60 fish species belonging to 7 orders, 17 families and 43 genera were documented throughout the study period. Family Cyprinidae contributed 46.67 % followed by Bagridae (11.67%), Ambassidae (5.0%), Channidae (5.0%), Mastacembelidae (5.0%), Notopteridae (3.33%) to the total fish species whereas other families contributed less than 3.33 percent each (<xref ref-type="fig" rid="fig1">Fig. 1</xref>). During the present study, <italic>Cyprinus carpio var communis</italic> represented highest in order of species abundance followed by <italic>Hypophthalmichthys molitrix, Oxygaster gora, Puntius sophore, Rita rita, Xenentodon cancila, Labeo bata, Labeo rohita, Chanda nama</italic> and <italic>Eutropiichthys vacha</italic>. Silver carp and common carp epitomized the exotic component in the fish market and their abundance was observed to be higher compare to other fishes. The other commercially important fishes like <italic>Catla, Labeo, Cirrhinus, Channa, Wallago, Sperata, Mystus</italic> and other small indigenous fishes were observed in decreasing order of their richness. The occurrence of <italic>Labeo pangusia</italic> was also observed during monsoon which was not encountered earlier in the fish market at Ludhiana.</p>
<fig id="fig1">
<label>Fig. 1</label>
<caption><p>Pie diagram showing per cent contribution of major families with their representative fish species</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg784.jpg"/>
</fig>
<p>Hassan (2016) studied abundance of fishes in river Sutlej and reported 93 fish species with the convergence of a few small tributaries where the river Sutlej water gets augmented at Ludhiana. Kaur <italic>et al</italic>. (2017) reported 37 fish species in Harike Wetland (downstream part of river Sutlej) and concluded that despite different natural and anthropogenic disturbances the wetland was still supporting species richness. Bhatnagar (2016) reported 59 fish species inhabits the freshwaters of Haryana state and observed decline in fish diversity from 82 species in 2004 to 59 species in the year 2014. The fish diversity in the present study was less than the earlier reports (Hassan, 2016) which might be attributed to large areas covered in earlier studies. Earlier 116 species of fish were documented from the reorganized Punjab (Johal and Tandon, 1980) but after that 26 and 16 species were investigated from Harike wetland (Dhillon and Kaur, 1996), 37 fish species documented by Kaur <italic>et al</italic>. (2017).</p>
</sec>
<sec id="s2-2">
<title>Diversity indices</title>
<p>In the present investigation of different indices was used for relating the relationship and describe species abundance in the community. The value of Margalef richness index (d) ranged from 4.42 to 12.14 and the highest was recorded during Nov. 2019 (12.14). The Shannon-Wiener index (H&#x2019;) was between 2.996 to 3.871 and highest was recorded during Nov. 2019 (3.871) which probably that most widely used in ecological studies and the value usually found to fall between 1.5 and 3.5 and only rarely it surpasses 4.5. The highest value of Simpson index (X) was recorded during Nov. 2019 (0.979) (<xref ref-type="tab" rid="tab1">Table 1</xref>).</p>
<table id="tab1">
<label>Table 1</label>
<caption><p>Month-wise variation in different indices based on species abundance</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figt_pg785.jpg"/>
</table>
<p>Post-monsoon season was observed with occurrence of higher fish assemblage followed by monsoon and pre-monsoon season (<xref ref-type="tab" rid="tab2">Table 2</xref>). The correlation values from the draftsman plot showed Margalef richness index hold positive correlation with H&#x2019; and &#x03BB; diversity indices (<xref ref-type="fig" rid="fig2">Fig. 2</xref>).</p>
<table id="tab2">
<label>Table 2</label>
<caption><p>Seasonal variation in different indices based on species abundance</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figt_pg785-1.jpg"/>
</table>
<fig id="fig2">
<label>Fig. 2</label>
<caption><p>Draftsman plot showing correlation between indices</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg785.jpg"/>
</fig>
</sec>
<sec id="s2-3">
<title>K-dominance curve</title>
<p>The K-dominance cumulative curve expressed as the percentage of abundance in the sample reveal that curve for month Nov. 2019 lies on the lower side and rise slowly due to high species richness (<xref ref-type="fig" rid="fig3">Fig. 3</xref>).</p>
<fig id="fig3">
<label>Fig. 3</label>
<caption><p>Month wise K-dominance curve for species biomass</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg785-1.jpg"/>
</fig>
<p>In relation to the seasonal and community parameters, the total species abundance showed a major peak during post-monsoon season (<xref ref-type="fig" rid="fig4">Fig. 4</xref>) which might be due to the cumulative effect of lotic water fishes synchronize nesting activity and migrate upstream during heavy rainfall (monsoon season) and move back after monsoon season (Dudgeon, 1992).</p>
<fig id="fig5">
<label>Fig. 4</label>
<caption><p>Seasonal K-dominance curve for species biomass</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg786.jpg"/>
</fig>
<p>The lesser species richness observed during the monsoon season which might be due to extreme floodplain siltation, alters habitations affecting species disappearance. Floods link rivers with floodplains and supply nutrients, organic matter to aquatic-terrestrial transition zones, stimulating biological productivity and habitat heterogeneity (Junk, 1989). The species richness increases after floods as river-floodplain connectivity augments habitat and resource availability (Junk, Bayley, and Sparks, 1989). Since there were heavy rains created a flood-like situation during Aug. 2019 in Ludhiana <italic>(The Hindu</italic>, 2019) inundated in the nearby areas of temporary lentic water bodies which provide sheltering of fishes and become suitable habitat for their good nourishment, temperature and breeding ground. Since, the lentic water body having abundant nutrient support in the recruitment of small size short distance migratory fishes. The majority of species exhibited greater relative abundance after the flood-like situation (Andrew <italic>et al</italic>., 2016) and an increase in fishing intensity during post-monsoon may also be one of the reasons.</p>
<p>K-dominance curve rank species in order of importance on the x-axis and show the percentage of each species on the total numbers or biomass on a cumulative scale (called percentage dominance) on the y-axis. To compare the biodiversity between the months, dominance plot drawn by ranking the species in decreasing order of abundance. The K-dominance curve for Nov. month lie on the lower side extended further and rise slowly due to high species richness.</p>
<p>K-dominance curve rank species in order to compare the biodiversity between the seasons, dominance plot drawn by ranking the species. The curve for the post monsoon season lies on the lower side and rise slowly due to more number of species.</p>
</sec>
</sec>
<sec id="s3">
<title>CLUSTER ANALYSIS</title>
<p>The results from hierarchical clustering from overall cluster analysis witnessed that the extreme resemblance in species abundance (78.48%) was noticed between the month Feb. 2020 and Dec. 2019 and minimum interrelationship between Feb. 2020 and Aug. 2019 (28.00%) (<xref ref-type="tab" rid="tab3">Table 3</xref> and <xref ref-type="fig" rid="fig5">Fig. 5</xref>, <xref ref-type="fig" rid="fig6">6</xref>).</p>
<table id="tab3">
<label>Table 3</label>
<caption><p>Bray-Curtis similarity matrix between months</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figt_pg786.jpg"/>
</table>
<fig id="fig5">
<label>Fig. 5</label>
<caption><p>Hierarchical clustering from Bray-Curtis similarity matrix with group average linking</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg787.jpg"/>
</fig>
<p>Cluster analysis of the species similarity matrix was applied to define species assemblage i.e. group of species that tend to occur in a parallel manner across the sites and which can be partitioned into groups with similar community structure. This approach was recommendable because it makes sure the similarity in species composition based on the abundance. The computation of matrices of similarities between different months was based on Bray -Curtis similarities measure.</p>
<sec id="s3-1">
<title>Non-metric Multi-Dimensional Scaling (MDS)</title>
<p>The samples from neighboring months showed greater similarity in species resemblance. The pre-monsoon and post-monsoon season formed two distinct groups showing a greater degree of similarity in the species composition (60%) within the groups and the samples collected during monsoon showed 40% similarity with the two segregated samples groups within pre-monsoon season. The stress value (0.1), which was superimposed on the MDS plot showed a greater degree of ordination in the collected samples (<xref ref-type="fig" rid="fig7">Fig. 7</xref>).</p>
<p>The results of the present study showed that samples from adjacent months have more similarities in species abundance than samples separated over a period. <xref ref-type="fig" rid="fig4">Figure 4</xref> also showed 20 percent similarity in the species abundance during Aug. 2019 for the monsoon season as revealed by MDS plot. During the Aug month only 12 species reported out of 60 due to fishing intensity was very low. This was due to the flood-like situation in Ludhiana following heavy rains and the discharge of excessive water from the Bhakra Dam (The <italic>Hindu</italic>, 2019). The Sutlej River was flowing near the danger mark. Most of the fishermen did not prefer to install indigenous boats and operate net, gears and tackles during the high current inflow of water. An advisory was issued to the riparian population and fishermen living near the river Sutlej for not to go for fishing during flood and high volume of river water (Indiatoday, 2019). Many researchers have investigated the ichthyofauna of river Sutlej and associated tributaries. A complete picture of the ichthyofauna diversity and spatial distribution outline in the river system still needs more attention.</p>
<fig id="fig6">
<label>Fig. 6</label>
<caption><p>Hierarchical clustering from Bray-Curtis similarity matrix with group average linking</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg787-1.jpg"/>
</fig>
<fig id="fig7">
<label>Fig. 7</label>
<caption><p>MDS plot showing various similarity levels</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg787-2.jpg"/>
</fig>
<p>The purpose of MDS was to construct a &#x201C;map&#x201D; or configuration of the samples, in a specified number of dimensions, which attempts to satisfy all the conditions imposed by the rank (dis) similarity matrix. This was to recognize the interrelationship between the samples in a <italic>map</italic>. In non-metric multidimensional scaling, the Bray-Curtis similarity was used to construct a map in which those having more similarity placed near and samples are having lower similarity far away. The stress value is indicating the goodness of the fit.</p>
</sec>
<sec id="s3-2">
<title>Taxonomic distinctness tests (TAXDTEST)</title>
<p>The 95% confidence funnel was created to find out the variation in taxonomic distinctness during different months and presented in <xref ref-type="fig" rid="fig8">Fig. 8</xref>.</p>
<fig id="fig8">
<label>Figure 8</label>
<caption><p>The 95% confidence funnel for variation in taxonomic distinctness (lambda+)</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg788.jpg"/>
</fig>
<p>The taxonomic distinctness values (lambda+) fell within the confidence funnel and there was no deviation from the normal distribution except for the month of Jun. 2019 because of the less species richness. The same result also evident by ellipse plot (<xref ref-type="fig" rid="fig9">Fig. 9</xref>) drawn linking the average taxonomic distinctness and variation in taxonomic distinctness values, statistically significant departure of all months can be seen clearly with their percent similarity and dissimilarity in confidence funnel.</p>
<fig id="fig9">
<label>Fig. 9</label>
<caption><p>Fitted 95% probability contours of average taxonomic distinctness (delta+) and variation in taxonomic distinctness (lambda+)</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="images/figa_pg788-1.jpg"/>
</fig>
<p>This test combining average taxonomic distinctness and variation in taxonomic distinctness involves plotting of the combination of these values by drawing the 95% probability contours (ellipse), which are advantageous in testing under the usual null hypothesis of random sampling from the master species list and superimposing the real values.</p>
</sec>
</sec>
<sec id="s4">
<title>CONCLUSION</title>
<p>The results of the contemporaneous study revealed that the River Sutlej along district Ludhiana grip rich ichthyofauna and supports the existence of indigenous and exotic fishes despite the facts the water quality of the river Sutlej deteriorating in the region of Punjab as per the existing scenario. Due to an anthropogenic bustle in river Sutlej, there is huge loss. The present study provides a baseline database with respect to fish species composition and its seasonal distribution for planning effective conservation measures to obtain sustainable fish production. There is still need an indelible management strategy to conserve this inherent treasure for maintaining sustainability and species richness in river Sutlej.</p>
</sec>
<sec id="s5">
<title>ACKNOWLEDGEMENTS</title>
<p>The authors are grateful to Dean, College of Fisheries and Head, Dept. of Fisheries Resource Management, College of Fisheries, GADVASU, Ludhiana for providing all necessary support during investigation and field data collection.</p>
</sec>
</body>
<back>
<ref-list>
<title>REFERENCES</title>
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