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凡纳滨对虾(Litopenaeus vannamei)形态性状与净肉重和出肉率的关系
张倩1,2,3, 王全超1, 于洋1, 张成松1, 黄皓4, 李富花1,2, 相建海1,2
1.中国科学院海洋研究所实验海洋生物学重点实验室 青岛 266071;2.青岛海洋科学与技术国家实验室海洋生物学与生物技术功能实验室 青岛 266237;3.中国科学院大学 北京 100049;4.海南广顺泰普海洋育种有限公司 文昌 571300
摘要:
为了探究凡纳滨对虾(Litopenaeus vannamei)表型性状与净肉重、出肉率的关系,本研究以5月龄的650尾凡纳滨对虾为材料,测量了全长、体长、头胸甲和各体节的长宽高等24个表型性状,根据体重、净肉重计算出肉率,通过相关分析、逐步回归分析和通径分析,计算了各性状间的相关系数、通径系数和决定系数,分析了24个表型性状与净肉重和出肉率的关系。结果表明,相关系数均达到极显著水平(P<0.01);通过逐步回归分析建立了以净肉重为因变量,13个性状为自变量的回归方程;同时建立了以出肉率为因变量,9个性状为自变量的回归方程。通径分析结果显示,体长对净肉重的直接影响最大,其次是第3腹节长和第1腹节宽;对出肉率的正向直接影响最大的是体长,其次是第2腹节高和第3腹节长,头胸甲长、宽、高以及尾节长与出肉率呈明显负相关。决定系数分析结果与通径分析结论基本一致,在所分析的24个形态性状中,体长和第3腹节长与净肉重和出肉率密切相关。在实际生产中,可以通过测量体长和第3腹节长等形态性状间接实现对净肉重、出肉率的选择,选育优良品种。
关键词:  凡纳滨对虾  多元回归分析  通径分析  净肉重  出肉率  形态性状
DOI:10.11693/hyhz20171100288
分类号:S968;Q953
基金项目:国家虾现代产业技术体系,CARS-48号;中国科学院STS重点部署项目“高效海洋生态牧场关键技术集成与示范”,KFZD-SW-106号。
CORRELATION OF MORPHOMETRIC ATTRIBUTES TO NET WEIGHT AND FILLET YIELD OF LITOPENAEUS VANNAMEI
ZHANG Qian1,2,3, WANG Quan-Chao1, YU Yang1, ZHANG Cheng-Song1, HUANG Hao4, LI Fu-Hua1,2, XIANG Jian-Hai1,2
1.Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;2.Marine Biology and Biotechnology Laboratory, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;3.University of Chinese Academy of Sciences, Beijing 100049, China;4.Hainan Grand Suntop Ocean Breeding Co., Ltd, Wenchang 571300, China
Abstract:
To determine the correlation of morphometric attributes to the net weight and fillet yield of Litopenaeus vannamei, 26 traits, including body weight, net weight, total length, body length, and the length, width, and height of each abdominal segment were measured from 650 individuals of five-month-old L. vannamei. The fillet yield was obtained by body weight and net weight. The correlation coefficients, path coefficients, determination coefficients among attributes were calculated in correlation analysis, multiple regression analysis, and path analysis. The results indicated that correlation achieved very significant levels (P<0.01). In addition, multiple regression equation was established by taking the net weight as a dependent variable, and 13 other morphometric traits as independent variables. The prediction equation for fillet yield was established with 9 independent variables. Path analysis showed that the body length weighted the most with the net weight, and the third abdominal segment length and the first abdominal width followed. Body length had the highest direct correlation to fillet field, followed by the second abdominal segment height and the third abdominal segment length. The trend of determination coefficient analysis was similar to that of path analysis. The study draws a conclusion that body length and the third abdominal segment length have a predominant direct effect on net weight and fillet yield, which provide theoretical information for breeding of the species.
Key words:  Litopenaeus vannamei  multiple regression analysis  path analysis  net weight  fillet yield  morphometric traits
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