| 引用本文: | 贺加贝,纪翔,徐晓莹,王鹤,常婧婷,周广军,刘蓬,赵强.3月龄脉红螺表型性状对体质量影响效应分析[J].海洋科学,2021,45(11):118-124. |
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| 3月龄脉红螺表型性状对体质量影响效应分析 |
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贺加贝1,2, 纪翔3, 徐晓莹1, 王鹤1, 常婧婷4, 周广军1, 刘蓬1, 赵强1
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1.烟台市海洋经济研究院, 山东 烟台 264006;2.鲁东大学, 山东 烟台 264025;3.烟台经海海洋渔业有限公司, 山东 烟台 264006;4.环翠区海洋监测中心, 山东 威海 264200
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| 摘要: |
| 随机抽取3月龄脉红螺稚螺103粒，开展其表型性状对体质量性状影响分析，以期为脉红螺人工选择育种提供较好的测度指标。实验测量了脉红螺壳长（X1）、壳宽（X2）、壳厚（X3）、壳口长（X4）、壳口宽（X5）等5种表型性状和体质量性状（Y），运用相关性分析、多元回归分析、通径分析及决定系数分析等方法分析了表型性状对体质量性状的影响。结果表明，脉红螺各性状间的相关性均达到极显著水平（P<0.01），拟合的多元线性方程为Y=-18.484 4+0.348 35X1+0.463 79X2，经自助法检验，在95%置信区间条件下，该方程决定系数（R2）范围为0.863 5~0.939 4，拟合度较好；壳长和壳宽对体质量的决定系数之和大于0.85，是最适宜用来预测体质量性状的两个表型性状指标。本研究成功分析出对脉红螺体质量直接影响作用最强的表型性状，为脉红螺选择育种理想测度指标的挑选提供了依据。 |
| 关键词: 脉红螺 体质量 表型性状 R语言 多元回归 自助法 通径分析 |
| DOI：10.11759/hykx20210108001 |
| 分类号:S931.5 |
| 基金项目:山东省重点研发计划项目（2019GHY112022）；山东省贝类产业技术体系烟台综合试验站（SDAIT-14-11） |
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| Phenotypic traits predicting body mass in three-month old Rapana venosa |
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HE Jia-bei1,2, JI Xiang3, XU Xiao-ying1, WANG He1, CHANG Jing-ting4, ZHOU Guang-jun1, LIU Peng1, ZHAO Qiang1
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1.Yantai Marine Economic Research Institute, Yantai 264006, China;2.Ludong University, Yantai 264025, China;3.Yantai Jinghai Marine Fisheries Co., Ltd., Yantai 264006, China;4.Huancui Marine Monitoring Center, Weihai 264200, China
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| Abstract: |
| In order to find better measurable traits for selecting Rapana venosa parents, 103 three-month old individuals were randomly sampled to measure body mass (Y) and phenotypic traits, including shell length (X1), shell width (X2), shell thickness (X3), shell mouth length (X4), and shell mouth width (X5). The relationship between the phenotypic traits and body mass was analyzed through correlation, multiple regression, and path analyses using the R program (version 4, 0.2). The results showed that the correlation between each of the phenotypic traits and the body mass was highly significant (P<0.01), with correlation coefficients ranging from 0.80 to 0.93. The multiple regression equation, Y=-18.484 4 + 0.348 4X1 + 0.463 8X2, was the most supported by the results. The R2 ranged from 0.8635 to 0.9394 in 95% confidence intervals tested by Bootstrap, showing that the model is useful as it explains most of the variation in body mass. The sum of determinant coefficients of shell length and shell width to body mass was larger than 0.85, indicating that the two traits were the best in predicting body mass. Therefore, shell length and shell width can be used as a foundation in selective breeding of R. venosa for improvement in body mass. |
| Key words: Rapana venosa body mass phenotypic traits R program multiple regression bootstrap path analysis |