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不同贝龄栉孔扇贝数量性状的相关性和通径分析
引用本文:杜美荣,方建光,高亚平,房景辉,蒋增杰.不同贝龄栉孔扇贝数量性状的相关性和通径分析[J].水产学报,2017,41(4):580-587.
作者姓名:杜美荣  方建光  高亚平  房景辉  蒋增杰
作者单位:中国水产科学研究院黄海水产研究所,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,山东青岛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,山东青岛266071
基金项目:中央级公益性科研院所基本科研业务费专项(20603022016017);国家贝产业技术体系专项(CARS-48);国家“八六三”高技术研究发展计划(2012AA10A405-2);国家自然科学基金青年基金(41306117)
摘    要:为深入了解栉孔扇贝形态性状与湿重之间的关系,为栉孔扇贝选育工作中亲贝的挑选提供策略,本研究使用来自同一家系的栉孔扇贝子代324只一龄个体以及生长到二龄的230只个体的性状数据进行通径分析。性状数据包括壳长(x_1/cm),壳高(x_2/cm),壳宽(x_3/cm),湿重(y/g)。结果显示,所有形态性状和湿重之间的相关系数均达到极显著水平。其中与一龄贝湿重相关系数最大的是壳长,为0.939,与二龄贝湿重相关系数最大的是壳高,为0.808。通径分析结果显示,壳长对一龄贝湿重的直接影响最大(0.532),壳高对一龄贝湿重的直接影响最小(0.163)。壳高对二龄贝湿重的直接影响最大(0.451),壳长对二龄贝湿重的直接影响最小(0.191),决定系数与以上通径分析结果的变化趋势一致。利用多元回归的方法构建了一龄贝和二龄贝形态性状与湿重间的回归方程,一龄贝:y=–10.527+0.287x_1+0.087x_2+0.409x_3,R~2=0.926;二龄贝:y=–68.609+0.254x_1+0.719x_2+2.008x_3,R~2=0.830。本研究结果为栉孔扇贝种贝的挑选提供了理论依据。

关 键 词:栉孔扇贝  贝龄  数量性状  通径分析
收稿时间:2016/6/29 0:00:00
修稿时间:2016/10/10 0:00:00

Correlation and path analysis of quantitative traits of different-age Chlamys farreri
DU Meirong,FANG Jianguang,GAO Yaping,FANG Jinghui and JIANG Zengjie.Correlation and path analysis of quantitative traits of different-age Chlamys farreri[J].Journal of Fisheries of China,2017,41(4):580-587.
Authors:DU Meirong  FANG Jianguang  GAO Yaping  FANG Jinghui and JIANG Zengjie
Institution:Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment;Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture;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 266071, China,Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment;Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture;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 266071, China,Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment;Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture;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 266071, China,Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment;Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture;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 266071, China and Shandong Provincial Key Laboratory of Fishery Resources and Eco-Environment;Key Laboratory for Sustainable Development of Marine Fisheries, Ministry of Agriculture;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 266071, China
Abstract:According to supply strategies for the parent selection during the breeding of Chlamys farreri, the relationship between the morphological characters and wet weight was studied using age one(324 individuals)and age two (230 individuals) which came from the same mix family. The traits included the shell length (x1/cm), shell height (x2/cm), shell width (x3/cm) and wet weight (y/g). The result showed that the correlation coefficients between shell character and the wet weight were all very significantly different. The shell length and shell height showed the greatest correlation coefficients to the wet weight of age one and age two (0.939 and 0.808) respectively. The result of the path coefficient analysis showed that the shell length and shell height also showed the highest correlation coefficients to the wet weight and gave predominant direct effect and determinacy on the wet weight for scallop of age one (0.532) and age two (0.451) respectively. The results of the determinant coefficients were consistent with the results of the path analysis. The shell height and shell length showed the lowest correlation coefficients to the wet weight of age one (0.163) and age two (0.191). The multiple regression equations were obtained to estimate wet weight as age one: y=-10.527+0.287x1+0.087x2+0.409x3, R2=0.926; age two: y=-68.609+0.254x1+0.719 x2+2.008x3, R2=0.830. This paper provides theoretical basis and perfect measures for the selection of the parents scallop in the breeding.
Keywords:Chlamys farreri  shell age  quantitative traits  path analysis
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