鸡肉粉对罗氏沼虾生长性能、体成分、免疫指标以及肠道消化酶的影响
Effects of chicken meal on growth performance,body composition,immune indexes,and intestinal digestive enzymes of Macrobrachium rosenbergii
王猛 1吴钊 1贠彪 1钱雪桥 1姜冬火 1袁瑞敏 1姜瑞丽 1王胜1
作者信息
- 1. 广东海大集团股份有限公司水产研究中心,广东广州 511400
- 折叠
摘要
试验旨在研究鸡肉粉对罗氏沼虾生长性能、体成分、免疫指标以及肠道消化酶的影响.选择健康、初始体重为(1.10±0.03)g的试验虾1 440尾,随机分成5组,每组6个重复,每个重复48尾虾.以添加30％鱼粉的基础饲料为对照组(C组),试验组鸡肉粉分别替代25％(P25组)、50％(P50组)、75％(P75组)、100％(P100组)鱼粉.试验期8周.结果显示,P100组增重率和特定生长率显著低于对照组(P＜0.05),P100组肝胰腺的碱性磷酸酶(AKP)以及淀粉酶活性显著低于对照组(P＜0.05).研究表明,鸡肉粉完全替代鱼粉会影响罗氏沼虾生长性能以及消化能力,25％～75％的替代水平不会产生负面影响,综合生长性能、免疫指标以及肠道消化酶等指标,鸡肉粉替代鱼粉最高比例为75％.
Abstract
The experiment aimed to investigate the effects of chicken meal on the growth performance,body composition,immune indexes,and intestinal digestive enzymes of Macrobrachium rosenbergii.A total of 1 440 healthy test shrimp with an initial weight of(1.10±0.03)g were randomly divided into five groups,with six replicates in each group,and 48 shrimp in each replicate.A basic diet with 30％fish meal was used as the control group(Group C).Fish meal was replaced by 25％(Group P25),50％(Group P50),75％(Group P75)and 100％(Group P100)chicken meal in experimental groups,respectively.The trial lasted for eight weeks.The results showed that the weight gain and specific growth rate of Group P100 were significantly lower than those of the control group(P＜0.05),and the activity of alkaline phosphatase(AKP)and amylase in the hepatopancreas of Group P100 was significantly lower than that of the control group(P＜0.05).The study indicates that completely replacing fish meal with chicken meal would affect the growth performance and digestive capacity of Macrobrachium rosenbergii.Replacement levels of 25％to 75％do not produce negative effects.Considering growth performance,immune indexes,and intestinal digestive enzymes,the highest proportion of chicken meal replacing fish meal is up to 75％.
关键词
罗氏沼虾/鸡肉粉/鱼粉/生长性能/消化能力Key words
Macrobrachium rosenbergii/chicken meal/fish meal/growth performance/digestive capacity引用本文复制引用
基金项目
2020年广东省国际科技合作项目(2020A0505100026)
出版年
2024
国家科技期刊平台
NSTL
万方数据