摘要
利用三疣梭子蟹(Portunus trituberculatus)在1—5月龄的生长数据,对其全甲宽、甲宽、体长、体高、大螯长节长、大螯不动指长、第一步足长节长及体重8个性状进行主成分分析。结果表明:1—3月龄各性状间相关系数均达到极显著水平(P<0.01),4、5月龄部分性状间不显著(P>0.05)。各月龄三疣梭子蟹的主成分有所不同:1月龄三疣梭子蟹的第一主成分为长度因子,第二主成分为宽度因子;2月龄三疣梭子蟹的第一主成分为宽度因子,第二主成分为长度因子,第三主成分为体重因子;3月龄三疣梭子蟹的第一主成分为宽度因子;4—5月龄三疣梭子蟹的第一主成分均为体重因子,第二主成分均为长度因子。不同月龄三疣梭子蟹各性状的生长速率存在一定差异。1—3月龄形态性状的增长优先于体重,4—5月龄体重增长优先于形态性状的增长。
Principal component analysis was used for the evaluation of eight morphometric traits of Portunus trituberculatus at different month ages, including full carapace width, carapace width, body length, body height, meropodit length of the claw, fixed finger length of claw, meropodit length of the first peraeopod and body weight. Results showed significant correlations between any two traits from one to three month age（P〈0.01）, however, some traits was not significant（P〉0.05） from four to five month age. The principal components of P. trituberculatus at different month ages were different. When the P. trituberculatus was one month age old, the length factor was the first principal component, and width factor was the second principal component. At two month age, the width factor was the first principal component, and the length factor and body weight factor were the second and third principal component. However, width factor was the only principal component at three month age. At four and five month age, the first principal component was body weight factor and the second principal component was length factor. The growth rate of morphometric traits of P. trituberculatus was not the same at different month ages; also, from one to three month ages, the growth of morphometric traits was prior to body weight, while the growth of body weight took precedence of morphometric traits from four to five month ages.
出处
《生态科学》
CSCD
北大核心
2014年第3期527-532,共6页
Ecological Science
基金
国家自然科学基金资助项目(41106123)
浙江省水产育种专项(2012C12907-3
2012C12907-9)
浙江省公益性技术应用研究计划资助项目(2013C31032)
宁波市海洋蟹类产业科技创新团队项目(2011B81003)
宁波市农村科技创新创业资金项目(2012C92010)
关键词
三疣梭子蟹
形态性状
主成分分析
Portunus trituberculatus
morphometric trait
principal component analysis
