Nonlinear regression analysis on early growth pattern of Carassius auratus in Qihe River

摘要：

采用SPSS软件Logistic曲线拟合、Logistic非线性拟合和Asymptotic渐进回归3种模型对淇河鲫早期生长规律进行研究.结果表明:Logistic曲线拟合度较低(R^2=0.885);非线性渐进回归模型拟合度最高(R^2=0.982).根据模型计算出的早期生长拐点为出生后第5周.淇河鲫早期生长与其他一些鱼类生长模式相似,但也具有自身独特的生长模式.探讨了淇河鲫早期生长模式的生物学意义,为淇河鲫科学养殖、增殖和资源保护提供理论参数.

In order to study early growth pattern of Carassius auratus in Qihe River,3 regression models（ Logistic curve fitting,Logistic nonlinear regression and Asymptotic regression） were derived from the morphometric measurements. SPSS（ Version 22. 0） was used for statistical analysis. The results showed that 3 growth models could all well-fit the early growth of Carassius auratus in Qihe Riverr（ R^2〉 0. 88）,while the nonlinear asymptotic regression had the best effects on fitting（ R^2= 0. 982）. According to this model,the turning point of the early growth was about 5 weeks. The early growth of Carassius auratus in Qihe River has some similar growth patterns when compared with many of some other fishes,while it also has its own unique ones. This paper explored the biological signification of early growth of Carassius auratus in Qihe River and provided theoretical parameters for scientifically cultural,aquaculture and resource protection.

作者：

多甜 王凤产 赵晓进

机构地区：

betway官方app 水产学院

出处：

《betway官方app 学报：自然科学版》 CAS 北大核心 2017年第1期61-64,共4页

基金：

河南省基础与前沿技术研究计划项目(132300410136)资助 betway官方app 博士科研启动课题自助(5102109179103)

关键词：

淇河鲫 早期生长 形态特征 非线性回归

Carassius auratus in Qihe River morphometric character early growth nonlinear regression

分类号：

S965.117 [农业科学—水产养殖]

淇河鲫早期生长非线性回归分析.pdf