| 不同养殖海域栉孔扇贝(Chlamys farreri)混合家系的通径分析 |
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| 引用本文： | 杜美荣,方建光,包振民,高亚平,房景辉,蒋增杰.不同养殖海域栉孔扇贝(Chlamys farreri)混合家系的通径分析[J].海洋与湖沼,2016,47(5):963-970. |
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| 作者姓名： | 杜美荣 方建光 包振民 高亚平 房景辉 蒋增杰 |
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| 作者单位： | 中国海洋大学 海洋生命学院 青岛 266003;农业部海洋渔业资源可持续利用重点开放实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室 青岛 266000,农业部海洋渔业资源可持续利用重点开放实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室 青岛 266000,中国海洋大学 海洋生命学院 青岛 266003,农业部海洋渔业资源可持续利用重点开放实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室 青岛 266000,农业部海洋渔业资源可持续利用重点开放实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室 青岛 266000,农业部海洋渔业资源可持续利用重点开放实验室 山东省渔业资源与生态环境重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室 青岛 266000 |
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| 基金项目： | 国家高技术研究发展计划（863）项目，2012AA10A405-2号；国家贝产业技术体系项目，CARS-48号；中国水产科学研究黄海水产研究所基本科研业务费，20603022016017号；国家自然科学基金青年基金项目，41306117号。 |
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| 摘 要： | 为了深入认识栉孔扇贝(Chlamys farreri)壳尺寸性状和体重之间的关系,达到通过直观可见形状判断非直观性状,在栉孔扇贝苗种培育中指导种贝挑选工作的目的,本实验将600余只扇贝分别于三个不同纬度养殖环境(山东青岛、山东荣成和辽宁大连)下养殖一年后测量其性状数据,包括壳长、壳高、壳宽、体重,进行壳尺寸性状对体重性状的通径分析。偏回归系数统计表明,除大连海域壳长对体重的偏回归系数为0.266,差异不显著(P0.05)外,其它参数对体重均极显著(P0.01),表明大多数自变量和因变量之间都有极显著的共线性关系。对各个海域建立以壳尺寸为自变量,体重为因变量的回归方程,得出通径系数、各性状间的相关性指数以及各参数对体重的决定系数,计算出了不同养殖地点的栉孔扇贝壳尺寸性状和体重之间关系的回归方程。通径分析显示,对青岛海域栉孔扇贝体重直接作用最大的是壳高,对荣成海域栉孔扇贝体重直接作用最大的是壳长,而对大连海域栉孔扇贝体重直接作用最大的是壳宽。因此,以体重为目标挑选青岛海域的种贝时,应以壳高为优先选择指标;挑选荣成海域的种贝时,优先选择壳长;挑选大连海域的种贝时,优先选择壳宽。不同养殖海域栉孔扇贝的通径分析为栉孔扇贝亲贝的挑选提供了理论支持。
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| 关 键 词： | 栉孔扇贝 养殖群体 性状 通径分析 回归方程 |
| 收稿时间： | 2016/1/18 0:00:00 |
| 修稿时间： | 2016/5/19 0:00:00 |
CORRELATION AND PATH COFFICIENT ANALYSIS FOR CHLAMYS FARRERI CULTURED IN DIFFERENT SEA AREAS |
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| DU Mei-Rong,FANG Jian-Guang,BAO Zhen-Min,GAO Ya-Ping,FANG Jing-Hui and JIANG Zeng-Jie.CORRELATION AND PATH COFFICIENT ANALYSIS FOR CHLAMYS FARRERI CULTURED IN DIFFERENT SEA AREAS[J].Oceanologia Et Limnologia Sinica,2016,47(5):963-970. |
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| Authors: | DU Mei-Rong FANG Jian-Guang BAO Zhen-Min GAO Ya-Ping FANG Jing-Hui and JIANG Zeng-Jie |
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| Institution: | College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China;Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China,Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China,College of Marine Life Sciences, Ocean University of China, Qingdao 266003, China,Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China,Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China and Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China |
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| Abstract: | To explore relationship between total wet weight and morphometric traits, and to determine the non-intuitive traits by intuitive traits to select the parents, some 600 one-year-old Zhikong scallops (Chlamys farreri) were cultured in 2013-2014 in three areas of different latitude (i.e., Qingdao and Rongcheng of Shandong Province, and Dalian of Liaoning Province). The morphometric traits measured included shell length, shell height, shell width, and wet weight. The statistics of partial regression coefficient analysis of Dalian population showed that the correlation of shell length to total wet weight (0.266, P>0.05) was not significant. The correlation of the other two parameters to wet weight were significant (P<0.01). This reveals a significant linear relationship between the independent and dependent variables. Optimal regression equations were established by stepwise regression method with shell size traits as independent variables and wet weight as dependent variables. The coefficient of correlation, path, and determination were calculated, and regressed equations were established for each population. Path analysis show that shell height, shell length and shell width had dominant effects on wet weight of Qingdao, Rongcheng, and Dalian, respectively, providing a theoretical clue to selective breeding of C. farreri. Therefore, when selecting parental scallops, those with greatest shell height, shell length, and shell width should be considered in Qingdao, Rongcheng, and Dalian, respectively. |
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| Keywords: | Chlamys farreri aquaculture population morphometric traits path coefficient analysis regression equation |
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