Effects of dietary dextrin level on growth performance, feed utilization, biochemical composition, digestive enzyme activity, antioxidant capacity and tissue structure of juvenile Onychostoma macrolepis

IF 2.5 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animal Feed Science and Technology Pub Date : 2024-04-08 DOI:10.1016/j.anifeedsci.2024.115967
Mingzhi Zhong , Zechao Hu , Hong Ji , Nina Gou , Wenyi Wu , Jian Sun , Wuzi Dong , Haibo Yu , Jishu Zhou
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Abstract

Effects of dietary dextrin at inclusion levels of 14.7 %, 20.7 %, 26.7 %, 32.7 % and 38.7 % on growth performance, feed utilization, biochemical composition, digestive enzyme activity, antioxidant capacity and tissue structure of Onychostoma macrolepis (1.78±0.10 g) was evaluated, the trial was conducted for 56-day. The results revealed that final body mass, weight gain and protein efficiency ratio were the highest in the 26.7% group, while feed conversion ratio (FCR) was the opposite. The optimal values of FCR and specific growth rate (SGR) were 25.27 % and 25.67 % respectively based on the quadratic regression analysis. The hepatopancreas trypsin activity was the lowest in the 32.7 % group (P<0.05), while the lipase activity in the 14.7 %, 20.7 %, and 26.7 % groups were higher than remaining groups (P<0.05), however, the amylase activity was not affected (P>0.05). Only the crude protein of whole fish was affected, its content was the highest in the 32.7 % group. Hepatopancreas and muscle glycogen were the highest in the 26.7 % group (P<0.05). Combined with the systematic clustering average method was found that MUFA and SFA in hepatopancreas increased, and n-6 PUFA and MUFA in muscle and MUFA in abdominal fat decreased with dextrin levels. The hepatopancreas glutathione peroxidase activity in the 32.7 % group was the lowest and catalase activity in the 20.7 % group was the highest (P<0.05), total superoxide dismutase activities in the 14.7 %, 20.7 % and 26.7 % groups were significantly higher than remaining groups (P<0.05), and malonaldehyde content in 38.7 % group reached the highest (P<0.05). Hepatopancreas exhibited severe vacuolation in the 32.7 % group, and intestinal villi were the longest in the 26.7 % group (P<0.05). In summary, based on FCR and SGR, the optimal dextrin levels in Onychostoma macrolepis feed were 25.27 % and 25.67 % respectively. When having good growth and not negatively affecting health status, the recommended addition levels of dextrin in feed were 20.7–26.7 %.

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日粮糊精水平对大鲤鱼幼鱼生长性能、饲料利用率、生化成分、消化酶活性、抗氧化能力和组织结构的影响
试验进行了 56 天,评估了日粮糊精添加水平为 14.7%、20.7%、26.7%、32.7% 和 38.7%对大菱鲆(1.78±0.10 g)生长性能、饲料利用率、生化成分、消化酶活性、抗氧化能力和组织结构的影响。结果表明,26.7%组的最终体重、增重和蛋白质效率比最高,而饲料转化率(FCR)则相反。根据二次回归分析,饲料转化率和特定生长率(SGR)的最佳值分别为 25.27 % 和 25.67 %。32.7 %组的肝胰脏胰蛋白酶活性最低(P<0.05),14.7 %、20.7 %和26.7 %组的脂肪酶活性高于其余各组(P<0.05),但淀粉酶活性未受影响(P>0.05)。只有全鱼的粗蛋白受到影响,32.7 % 组的粗蛋白含量最高。肝胰脏和肌糖原含量在 26.7 % 组中最高(P<0.05)。结合系统聚类平均法发现,肝胰腺中的 MUFA 和 SFA 随糊精水平的升高而升高,肌肉中的 n-6 PUFA 和 MUFA 以及腹部脂肪中的 MUFA 随糊精水平的升高而降低。肝胰腺谷胱甘肽过氧化物酶活性在32.7%组最低,过氧化氢酶活性在20.7%组最高(P<0.05),总超氧化物歧化酶活性在14.7%、20.7%和26.7%组明显高于其余各组(P<0.05),丙二醛含量在38.7%组最高(P<0.05)。32.7 %组的肝胰腺出现严重空泡化,26.7 %组的肠绒毛最长(P<0.05)。总之,根据饲料报酬率和生长速度,大菱鲆饲料中的最佳糊精水平分别为 25.27 % 和 25.67 %。在生长良好且不影响健康状况的情况下,饲料中糊精的推荐添加量为 20.7-26.7%。
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来源期刊
Animal Feed Science and Technology
Animal Feed Science and Technology 农林科学-奶制品与动物科学
CiteScore
6.00
自引率
6.20%
发文量
266
审稿时长
3 months
期刊介绍: Animal Feed Science and Technology is a unique journal publishing scientific papers of international interest focusing on animal feeds and their feeding. Papers describing research on feed for ruminants and non-ruminants, including poultry, horses, companion animals and aquatic animals, are welcome. The journal covers the following areas: Nutritive value of feeds (e.g., assessment, improvement) Methods of conserving and processing feeds that affect their nutritional value Agronomic and climatic factors influencing the nutritive value of feeds Utilization of feeds and the improvement of such Metabolic, production, reproduction and health responses, as well as potential environmental impacts, of diet inputs and feed technologies (e.g., feeds, feed additives, feed components, mycotoxins) Mathematical models relating directly to animal-feed interactions Analytical and experimental methods for feed evaluation Environmental impacts of feed technologies in animal production.
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