<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">WJET</journal-id><journal-title-group><journal-title>World Journal of Engineering and Technology</journal-title></journal-title-group><issn pub-type="epub">2331-4222</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wjet.2015.34C003</article-id><article-id pub-id-type="publisher-id">WJET-61995</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Effects of Growth Performance and Organosomatic Indices of Atlantic Salmon Juvenile by Using Different Carbohydrate-to-Lipid Ratios in Feeds
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jinghui</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lin</surname><given-names>Ma</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhenyan</surname><given-names>Cheng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dongqing</surname><given-names>Bai</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xiuting</surname><given-names>Qiao</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jinhui</surname><given-names>Sun</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Tianjin Key Lab of Aqua-Ecology and Aquaculture, College of Fisheries, Tianjin Agricultural University, 
Tianjin, China</addr-line></aff><aff id="aff2"><addr-line>Tianjin Fishery Research Institute, Tianjin, China</addr-line></aff><pub-date pub-type="epub"><day>17</day><month>12</month><year>2015</year></pub-date><volume>03</volume><issue>04</issue><fpage>24</fpage><lpage>29</lpage><history><date date-type="received"><day>20</day>	<month>November</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>10</month>	<year>December</year>	</date><date date-type="accepted"><day>17</day>	<month>December</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   The effect of different carbohydrate-to-lipid ratios in feeds on the growth performance and organosomatic indices of Atlantic salmon, Salmon salar, was determined in this experiment. Four iso- energetic feeds were manufactured with increasing carbohydrate level (18%, 21%, 14%, 26%). Lipid level was decreasing from 14% to 11% for each diet for energetic balance. Fish were reared in triplicate tanks for each diet treatment for 49 days. The diet which contained 26% carbohydrate and 11% lipid provided the highest specific growth rate (SGR = 0.66% &#177; 0.04% per day) to the fish. However, the feed efficiency (FER) ranked from 0.71 to 0.91 had no significant differences between diets. Similarly, the values of condition index (K), relative gut length (RGL) and hepatosomatic index (HSI) had no significant differences between groups. The relationship between liver and carcass weight showed that with the increasing of fish carcass weight, the liver weight increased. According to this experiment, it suggests that based on an optimum level of carbohydrate in diet, the juvenile salmon has a better growth fed by a diet with a higher carbohydrate-to-lipid ratio. 
 
</p></abstract><kwd-group><kwd>Atlantic Salmon</kwd><kwd> Carbohydrate</kwd><kwd> Lipid</kwd><kwd> Growth Performance</kwd><kwd> Organosomatic Indices</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Carbohydrate is regarded as one of the most important energetic resources besides protein and lipid, but the utilization of it by fish is still thought obscure [<xref ref-type="bibr" rid="scirp.61995-ref1">1</xref>]. Based on relevant researches, they reveal that most fish species suffered from reducing growth rates when they were fed with carbohydrate-free diet. Wilson [<xref ref-type="bibr" rid="scirp.61995-ref1">1</xref>] found that higher value of carbohydrate could be used by warmwater fish than marine or coldwater fish. Some study indicated that rainbow trout had a better growth when fed by higher level of carbohydrate in diet [<xref ref-type="bibr" rid="scirp.61995-ref2">2</xref>]. Similarly result was found by Bergot [<xref ref-type="bibr" rid="scirp.61995-ref3">3</xref>], he revealed that trout could achieve the highest growth rate by feeding a high value carbohydrate diet. However, several studies showed there were not many effects on growth performance and feed efficiency by feeding some carnivorous fish with an increasing dietary carbohydrate [<xref ref-type="bibr" rid="scirp.61995-ref4">4</xref>]-[<xref ref-type="bibr" rid="scirp.61995-ref6">6</xref>]. This report aims to determine the effects of growth performance and organosomatic indices of Atlantic salmon juvenile by using the different carbohydrate-to-lipid ratios in diets.</p></sec><sec id="s2"><title>2. Methods and Materials</title><sec id="s2_1"><title>2.1. Diet Composition</title><p>Four iso-energetic diets (1.5 mm in diameter) with different carbohydrate-to-lipid ratios (<xref ref-type="table" rid="table1">Table 1</xref>) were produced in Aquaculture Centre, University of Tasmania. The dry ingredients were put into a container then mixed using a 20-L Brice mixer. After 20 minutes mixing, fish oil was added into the mixture and continued to mix another 20 minutes. Then, added approximately 30% water into the mixture until it formed as a crumby dough. The diet pellet was made by Italpast Pastamaker with a pellet cutter. Scattered the pellet onto a board with screen and dried it at 90˚C in 24 hours, lastly, stored the feed in the freezer at −20˚C until use.</p></sec><sec id="s2_2"><title>2.2. Growth Trial</title><p>Approximately 180 Atlantic salmon (Salmo salar) juvenile (11.31 &#177; 0.64 g) were used as the experimental fish fed by four different diets during 1st August to 18th September, 2013 in aquaculture centre. The 12 experimental</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The formulation and chemical composition of the experimental diets (g∙kg<sup>−1</sup>)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Diet</th><th align="center" valign="middle" >18CHO:14L<sup>*</sup></th><th align="center" valign="middle" >21CHO:13L</th><th align="center" valign="middle" >24CHO:12L</th><th align="center" valign="middle" >26CHO:11L</th></tr></thead><tr><td align="center" valign="middle"  colspan="6"  >Ingredient composition (g∙kg<sup>−1</sup>)</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Fish meal</td><td align="center" valign="middle" >511</td><td align="center" valign="middle" >511</td><td align="center" valign="middle" >511</td><td align="center" valign="middle" >511</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Wheat gluten</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Fish oil</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >72</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Pregel maize starch (bo11c)</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >240</td><td align="center" valign="middle" >260</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Vitamins</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Minerals</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Stay C</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Choline chloride</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Monobasic calcium phosphate</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Ytterbium oxide</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle"  colspan="2"  >α-cellulose</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle"  colspan="6"  >Chemical composition (Dry matter basic)</td></tr><tr><td align="center" valign="middle" >Dry matter</td><td align="center" valign="middle"  colspan="2"  >907.1</td><td align="center" valign="middle" >903.2</td><td align="center" valign="middle" >907.7</td><td align="center" valign="middle" >906.3</td></tr><tr><td align="center" valign="middle" >Crude protein</td><td align="center" valign="middle"  colspan="2"  >440</td><td align="center" valign="middle" >440</td><td align="center" valign="middle" >440</td><td align="center" valign="middle" >440</td></tr><tr><td align="center" valign="middle" >Crude lipid</td><td align="center" valign="middle"  colspan="2"  >167.9</td><td align="center" valign="middle" >155.3</td><td align="center" valign="middle" >140.2</td><td align="center" valign="middle" >131.1</td></tr><tr><td align="center" valign="middle" >Ash</td><td align="center" valign="middle"  colspan="2"  >109.4</td><td align="center" valign="middle" >106.7</td><td align="center" valign="middle" >110.1</td><td align="center" valign="middle" >107.4</td></tr><tr><td align="center" valign="middle" >NFE</td><td align="center" valign="middle"  colspan="2"  >191.1</td><td align="center" valign="middle" >204</td><td align="center" valign="middle" >214.2</td><td align="center" valign="middle" >224.2</td></tr><tr><td align="center" valign="middle" >Gross energy (MJ∙kg<sup>−1</sup>)</td><td align="center" valign="middle"  colspan="2"  >22</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >22</td></tr><tr><td align="center" valign="middle" >CHO:L</td><td align="center" valign="middle"  colspan="2"  >1.07</td><td align="center" valign="middle" >1.35</td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle" >1.98</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>tanks were randomly chosen for triplicate for each diet treatment (3 tanks for each diet, 15 fish each tank). Before the experiment, fish were held in a 4000 L rathbun tank and fed a commercial salmon feed (Skretting Australia). After the fish got anesthesia by experiencing an anesthetic bath in the tank (150 L with 13 mg/L clove oil), they were individually measured for the fork length and the whole weight by using a recreational marine scalefish ruler and a digital balance. Then the fish would be fed to 90% of satiation at 1.5% body weight per day over 7 weeks, 5 days a week. The photoperiod was set up at 12:12 in a day. The feeding behaviour, diet consumption and water quality indices were detected and recorded daily.</p><p>After the 49-days experiment, the whole weight and fork length of individual fish were measured again. Two fish of each tank were selected for organosomatic indices calculation. The test items included the fish whole weight, fork length, digestive tract length, intestine length, liver weight (without gall bladder), pylorus weight (with fat), stomach weight (without fat), intestine weight (without fat) and carcass weight.</p></sec><sec id="s2_3"><title>2.3. Calculation and Formula</title><p>According to Glencross, et al. [<xref ref-type="bibr" rid="scirp.61995-ref7">7</xref>] and Kaushik [<xref ref-type="bibr" rid="scirp.61995-ref8">8</xref>], the growth performance and the efficiency of food of this experiment were calculated as specific growth rate (SGR) and feed conversion ratio (FCR).</p><disp-formula id="scirp.61995-formula10"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/61995x5.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.61995-formula11"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/61995x6.png"  xlink:type="simple"/></disp-formula><p>The condition index (K), organ somatic indices (OSI) and relative gut length (RGL) were calculated based on the following formulas:</p><disp-formula id="scirp.61995-formula12"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/61995x7.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.61995-formula13"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/61995x8.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.61995-formula14"><label>(5)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/61995x9.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.61995-formula15"><label>(6)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/61995x10.png"  xlink:type="simple"/></disp-formula></sec><sec id="s2_4"><title>2.4. Data Analyses</title><p>The data of this experiment was analyzed by using Excel and one-way analysis of variance (ANOVA). A Tukey test was used if there was a significant difference between treatment means. The level of significance for all tests was chosen at P ≤ 0.05. The results were given as mean &#177; standard error of the mean (S.E.M.).</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Growth and Feed Efficiency</title><p>There was a significant difference in mean specific growth rate (SGR % per day) of groups fed by different carbohydrate levels (F = 5.126, df = 3, 8, P = 0.029). The highest SGR occurred in the salmon fed by diet with 26CHO:11L (0.66% &#177; 0.04%) which was approximately 14% higher than fed by diet with 21CHO:12L (SGR 0.45% &#177; 0.04%) (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>The efficiency of food (FER) was not significant different (F = 3.256; df = 3, 8; P = 0.081), ranged from 0.76 to 0.91 (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_2"><title>3.2. Organosomatic Indices</title><p><xref ref-type="table" rid="table3">Table 3</xref> shows the condition index (K) and relative gut length (RGL) between groups were not significantly different. Values ranging from 1.068 &#177; 0.024% to 1.153% &#177; 0.086% for K and from 0.79 &#177; 0.03 to 0.89 &#177; 0.07 for RGL. However, the hepatosomatic indices (HSI) showed a significant difference between each group (F = 4.616, df = 3, 20; P = 0.013). The highest HSI value (24CHO:12L, 2.71% &#177; 0.23%) was 15% higher than the lowest one (18CHO:14L, 1.76% &#177; 0.24%) approximately (<xref ref-type="table" rid="table3">Table 3</xref>).</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Mean SGR (%/day) of the test salmon fed by different diets over 49 days. Values are mean &#177; SE. Means with different letters are significantly different from one another</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/61995x11.png"/></fig><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Feed efficiency (FER) (mean &#177; S.E.) of salmon, Salmon salar fed by four different diets over 7 weeks</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >18CHO:14L</th><th align="center" valign="middle" >21CHO:13L</th><th align="center" valign="middle" >24CHO:12L</th><th align="center" valign="middle" >26CHO:11L</th><th align="center" valign="middle" >S</th></tr></thead><tr><td align="center" valign="middle" >Initial weight (g)</td><td align="center" valign="middle" >11.89 &#177; 0.40</td><td align="center" valign="middle" >11.02 &#177; 0.29</td><td align="center" valign="middle" >11.08 &#177; 0.43</td><td align="center" valign="middle" >11.27 &#177; 0.40</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >Final weight (g)</td><td align="center" valign="middle" >15.51 &#177; 0.92</td><td align="center" valign="middle" >13.71 &#177; 0.97</td><td align="center" valign="middle" >14.75 &#177; 0.93</td><td align="center" valign="middle" >15.53 &#177; 0.91</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >FRE</td><td align="center" valign="middle" >0.76 &#177; 0.08</td><td align="center" valign="middle" >0.71 &#177; 0.03</td><td align="center" valign="middle" >0.91 &#177; 0.05</td><td align="center" valign="middle" >0.89 &#177; 0.04</td><td align="center" valign="middle" >NS</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Condition index (K), hepatosomatic index (HSI) and relative gut length (RGL) (Mean &#177; S.E.) in salmon fed by four different diets over 7 weeks</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >18CHO:14L</th><th align="center" valign="middle" >21CHO:13L</th><th align="center" valign="middle" >24CHO:12L</th><th align="center" valign="middle" >26CHO:11L</th><th align="center" valign="middle" >S</th></tr></thead><tr><td align="center" valign="middle" >K (%)</td><td align="center" valign="middle" >1.068 &#177; 0.024</td><td align="center" valign="middle" >1.220 &#177; 0.092</td><td align="center" valign="middle" >1.153 &#177; 0.086</td><td align="center" valign="middle" >1.146 &#177; 0.036</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >RGL</td><td align="center" valign="middle" >0.79 &#177; 0.03</td><td align="center" valign="middle" >0.83 &#177; 0.04</td><td align="center" valign="middle" >0.89 &#177; 0.07</td><td align="center" valign="middle" >0.85 &#177; 0.04</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >HIS (%)</td><td align="center" valign="middle" >1.76 &#177; 0.24<sup>a</sup></td><td align="center" valign="middle" >2.47 &#177; 0.11<sup>ab</sup></td><td align="center" valign="middle" >2.71 &#177; 0.23<sup>b</sup></td><td align="center" valign="middle" >2.36 &#177; 0.35<sup>ab</sup></td><td align="center" valign="middle" >S</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. The Relationship between Liver Weight and Carcass Weight</title><p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows the relationship between the liver weight and carcass weight of tested fish. It can be observed that the liver weight increases with the increasing of carcass weight in each diet treatment.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>It was shown in this experiment that salmon can get the highest SGR fed by the diet with the highest carbohydrate-to-lipid ratio (26CHO:11L). It showed the similar results with previous researches worked by Grisdale- Helland &amp; Helland [<xref ref-type="bibr" rid="scirp.61995-ref9">9</xref>], Krogdahl et al. [<xref ref-type="bibr" rid="scirp.61995-ref2">2</xref>] and Hemre et al. [<xref ref-type="bibr" rid="scirp.61995-ref10">10</xref>].</p><p>There are two explanations for this result. Firstly, fish catabolizes diet for energy start from carbohydrate to lipid and protein, if appropriate level of carbohydrate is not provided, lipid even protein will be catabolized for energy, this must influence the growth of the fish [<xref ref-type="bibr" rid="scirp.61995-ref1">1</xref>]. If the diet has a high level of carbohydrate, the extra carbohydrate can spare protein to store as growth [<xref ref-type="bibr" rid="scirp.61995-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.61995-ref12">12</xref>]. Secondly, increasing level of carbohydrate in diet improves the protein efficiency [<xref ref-type="bibr" rid="scirp.61995-ref13">13</xref>]. This may due to carbohydrate can stimulate the activity of certain enzymes to bring fish a better absorption of protein [<xref ref-type="bibr" rid="scirp.61995-ref14">14</xref>].</p><p>However, several studies showed there were not many effect on growth performance and feed efficiency by feeding some fish with an increasing dietary carbohydrate [<xref ref-type="bibr" rid="scirp.61995-ref4">4</xref>]-[<xref ref-type="bibr" rid="scirp.61995-ref6">6</xref>]. This may be caused by different source of carbohydrate that can significantly affect the digestibility of fish [<xref ref-type="bibr" rid="scirp.61995-ref14">14</xref>] and the level of digestible carbohydrate varies among fish species [<xref ref-type="bibr" rid="scirp.61995-ref1">1</xref>].</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> The relationship between liver weight and carcass weight of the tested salmon in each diet treatment</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/61995x12.png"/></fig><p>The lowest hepatosomatic index (HSI) occurred in the lowest level of carbohydrate diet (18CHO:14L), but the highest HSI did not occur in the diet with the highest carbohydrate-lipid ratio (26CHO:14L). However, there was a positive relationship between liver weight and carcass weight in this experiment. Therefore, even though the viscera and muscle fat content of fish can be increased by feeding the diet which contains increased level of carbohydrate [<xref ref-type="bibr" rid="scirp.61995-ref5">5</xref>], the liver size seems to be little influenced by dietary carbohydrate level in Atlantic salmon [<xref ref-type="bibr" rid="scirp.61995-ref15">15</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>In this experiment, the diet (26CHO:14L) provided the highest SGR to the fish. It showed that based on an optimum level of carbohydrate in diet, the juvenile salmon had a better growth fed by a diet with a higher carbohydrate-to-lipid ratio. However, the FER had no significant different between diets. Similarly, the values of K, RGL and HSI had no significant differences between groups. The relationship between liver and carcass weight showed that with the increasing of fish carcass weight, the liver weight increased.</p></sec><sec id="s6"><title>Cite this paper</title><p>Jinghui Li,Lin Ma,Zhenyan Cheng,Dongqing Bai,Xiuting Qiao,Jinhui Sun, (2015) The Effects of Growth Performance and Organosomatic Indices of Atlantic Salmon Juvenile by Using Different Carbohydrate-to-Lipid Ratios in Feeds. World Journal of Engineering and Technology,03,24-29. doi: 10.4236/wjet.2015.34C003</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.61995-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hemre, G.I., Mommsen, T.P. and Krogdahl, ?. (2002) Carbohydrates in Fish Nutrition: Effects on Growth, Glucose Metabolism and Hepatic Enzymes. Aquacult. 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