黄河鲤早期生长非线性回归分析
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摘要:
研究黄河鲤(Cyprinus carpio var.)早期异速生长,探讨黄河鲤的早期生长规律.通过SPSS统计软件建立Logistic曲线拟合和Logistic非线性拟合2种非线性回归模型.模型中日龄为解释变量,黄河鲤仔鱼的全长、体宽和眼径为被解释变量.结果表明,Logistic曲线的拟合度较低,R^2=0.979;Logistic非线性回归模型的拟合度最高,R^2=0.991.根据模型计算出黄河鲤的早期生长拐点在第7d.讨论了黄河鲤异速生长模型的理论意义和应用价值.
In this study,the early growth of the Cyprinuscarpio var.was analyzed by using regression analysis.Logistic curve fitting model and Logistic nonlinear fitting model developed by SPSS statistical software were used to explore the growth regularity in the carp and compare the differences between the carp.In these models,the full-length,body width and eye diameter of the larvae of the Cyprinus carpio var.were chosen as explained variables;day-age was the explanatory variable.It is found that the fitting degree of Logistic curve is relatively low,R^2=0.979;and the nonlinear regression model fitting degree is the highest,R^2=0.991.In this study,according to the model,the early growth inflection point of the carp appeared in the seventh day.This paper puts forward the practical significance and application of these models and the inflection point.
作者:
赵晓进 多甜 韩霄帆 吕云飞
Zhao Xiaojin;Duo Tian;Han Xiaofan;Lu Yunfei(School of Economics and Management,Zhengzhou Technology and Business University,Zhengzhou 451400,China;College of Fisheries,Henan Normal University,Xinxiang 453007,China;School of Earth Sciences and Resources,China University of Geosciences,Beijing 100083,China)
机构地区:
郑州工商学院经济管理学院 betway官方app 水产学院 中国地质大学地球科学与资源学院
出处:
《betway官方app 学报：自然科学版》 CAS 北大核心 2018年第4期102-106,共5页
基金:
河南省高等学校重点资助项目(18A180020) 河南省重点科技攻关项目(172102310721)
关键词:
黄河鲤鱼 早期发育 形态 LOGISTIC回归
Cyprinus carpio vat early growth character Logistic regression
分类号:
S965.117 [农业科学—水产养殖]
