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| 尼罗罗非鱼(>Oreochromis niloticus)生长相关分析及生长模型构建 |
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肖 俊1,2, 凌正宝1,2, 唐瞻杨2, 罗永巨2, 郭忠宝2, 郭恩彦2, 严 欣2, 张 明1, 甘 西2
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1.广西大学动物繁殖研究所 亚热带农业生物资源保护与利用国家重点实验室;2.广西壮族自治区水产研究所 广西水产遗传育种与健康养殖重点实验室
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| 摘要: |
| 运用Pearson 相关分析对尼罗罗非鱼可量性状进行分析, 并采用Logistic、Gompertz、Bertallanffy三种非线性模型对尼罗罗非鱼生长相关参数进行生长模型构建, 以研究尼罗罗非鱼的生长发育规律。结果表明: 尼罗罗非鱼各形态性状与体重之间的相关系数均达到极显著水平(P<0.01), 体重与全长、体长、体高的相关性相对显著, 与尾柄长的相关性不明显。生长模型研究结果表明: 三种模型均能很好地模拟尼罗罗非鱼生长曲线, 拟合度(R2)均高于0.983, 其中以Logistic模型的拟合度最高(R2=0.991), 运用这3种模型对尼罗罗非鱼进行生长曲线的拟合和比较分析较为可行。 |
| 关键词: 尼罗罗非鱼, 相关分析, 生长模型 |
| DOI：10.11693/hyhz201206035035 |
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| 基金项目:国家自然科学基金项目, 31260637 号; 中国博士后科学基金项目, 20110490867 号; 国家现代农业产业技术体系项目, CARS-49号; 广西壮族自治区科技攻关与新产品试制项目, 1123006-1 号, 1123006-3 号; 广西壮族自治区直属公益性科研院所基本科研业务费专项资金项目, 2060302 CXIF-2011-04 号。 |
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| STUDY ON CORRELATION ANALYSIS AND GROWTH MODEL IN NILE TILAPIA OREOCHROMIS NILOTICUS |
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XIAO Jun1,2, LING Zheng-Bao1,2, TANG Zhan-Yang2, LUO Yong-Ju2, GUO Zhong-Bao2, GUO En-Yan2, YAN Xin2, ZHANG Ming1, GAN Xi2
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1.Guangxi University, Animal Reproduction Institute, State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources;2.Guangxi Fisheries Research Institute, Guangxi Key Laboratory of Aquatic Genetic Breeding and Healthy Aquaculture
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| Abstract: |
| In order to study the regular pattern of growth and development in Nile tilapia Oreochromis niloticus, we used the Pearson correlation analysis and three nonlinear models which were Logistic, Gompertz and Bertallanffy to structure the growth model of Nile tilapia. The result showed that the correlation coefficient of Nile tilapia between every morphological traits and body weight had reached a significant level (P<0.01), total length, body length and body height had a high correlation with body weight, but the correlation with caudal peduncle length was not obvious. This study structured three growth models of Nile tilapia which were Logistic, Gompertz and Bertallanffy, respectively. The result showed that this three models could simulate the growth curve well, the goodness of fit (R2) using the three models were higher than 0.983, and the Logistic model (R2=0.991) is highest. Therefore, it is feasible that using these three models to simulate the growth curve of Nile tilapia. This result could increase efficiency of Nile tilapia selective breeding. |
| Key words: Nile tilapia Oreochromis niloticus, Growth model, Correlation analysis |