Correlation and Path Analysis of Phenotypic Traits in Different GeographicalGroups of Manila Clam Ruditapes philippinarum
LIANG Jian1,2, WANG Junjie1, GUO Yongjun1,2, LI Yongren1,2, YAN Xiwu3
1.Tianjin Key Laboratory of Aqua-ecology and Aquaculture, Department of Fishery Sciences, Tianjin Agricultural University, Tianjin 300384, China; 2.Tianjin Marine Ranching Technology Engineering Center, Tianjin 300457, China; 3. LiaoningEngineering Research Center of Shellfish Breeding, Dalian Ocean University, Dalian 116023, China
Abstract：The shell length (SL), shell height (SH), shell width (SW), live body weight (mL), wet soft part weight (mM) and dry soft part weight (mF) were measured and their correlation coefficients analyzed among Manila clam Ruditapes philippinarum from southern group farming in the north (SN), northern indigenous group (NN) and southern indigenous group (SS) by correlation and path analysis to provide theoretical basis and measurement index for selection and breeding of Manila clam. It was found that the correlation coefficients between each shell morphological trait and mL or mM were all very significant in different geographical groups of Manila clam (P<0.01), even though there was no significant difference in morphological indices among different geographical groups of the clam (P＞0.05). The analysis of determinant coefficient showed that the main phenotypic traits affecting WM were not the same among different geographical groups, with the maximal direct effect of SW, and the secondary indirect effect of SW through SH in SN population; SL being the main factor through SH in NN population; the main direct effect of SH, and the indirect effect of SL through SH in SS population.The independent variables with inconspicuous test of the path coefficient were deleted, and the optimal regression equation of the mM of the clams was established by using the stepwise regression method: SN group mM1=-4.276+0.211SH+0.116SW; NN group mM2=-2.806+0.088SL+0.087SH; SS group mM3=-3.101+0.290SH.
梁健, 王俊杰, 郭永军, 李永仁, 闫喜武. 不同地理群体菲律宾蛤仔表型性状的相关性与通径分析[J]. 水产科学, 2020, 39(1): 40-47.
LIANG Jian, WANG Junjie, GUO Yongjun, LI Yongren, YAN Xiwu. Correlation and Path Analysis of Phenotypic Traits in Different GeographicalGroups of Manila Clam Ruditapes philippinarum. 水产科学, 2020, 39(1): 40-47.
[1]刘青,张越,付鑫,等.菲律宾蛤仔的研究进展[J].河北渔业,2011(1):56-59. [2]郭文学,闫喜武,肖露阳,等.中国蛤蜊壳形态性状对体质量性状的影响[J].大连海洋大学学报,2013,28(1):49-54. [3]刘贤德,张国范.皱纹盘鲍表型性状与肌肉重的相关与通径分析[J].海洋科学,2010,34(4):40-44. [4]张勤,张启能. 生物统计学[M].北京:中国农业大学出版社,2002. [5]杜美荣,刘毅,蒋增杰,等.底播虾夷扇贝数量性状的相关性和通径分析[J].水产科学,2015,34(1):8-13. [6]Tong X H, Yuan X H, Dong Z J, et al. Growth comparison and analysis of selfing of Jian carp and reciprocal crosses hybrids between Jian carp and Huanghe carp[J]. Journal of Fisheries of China,2008,32(2):182-198. [7]高玮玮,袁媛,潘宝平,等.青蛤Cyclina sinensis贝壳形态性状对软体质量的影响分析[J].海洋与湖沼, 2009,40(2):106-109. [8]刘文广,林坚士,何毛贤.不同贝龄华贵栉孔扇贝数量性状的通径分析[J].南方水产科学,2012,8(1):43-48. [9]林清,王亚骏,王迪文,等. 太平洋牡蛎和葡萄牙牡蛎养殖群体数量性状比较分析[J].海洋通报,2014,33(1):106-111. [10]肖露阳,马贵范,郭文学,等.不同性别中国蛤蜊数量性状的相关与通径分析[J].中国农学通报,2012,28(29):115-119. [11]Deng Y W, Du X D, Wang Q H, et al. Correlation and path analysis for growth traits in F1 population of pearl oyster Pinctada martensii[J]. Marine Science Bulletin,2008,10(2):68-73. [12]刘辉,张兴志,鹿瑶,等.菲律宾蛤仔橙色品系壳形态性状对质量性状的通径及多元回归分析[J].大连海洋大学学报,2015,30(5):514-518. [13]Huo Z M, Yan X W, Zhao L Q, et al. Effects of shell morphological traits on the weight traits of Manila clam (Ruditapes philippinarum)[J].Acta Ecologica Sinica,2010,30(5):251-256. [14]杜家菊,陈志伟.使用SPSS线性回归实现通径分析的方法[J].生物学通报,2010,45(2):4-6. [15]刘仁沿,张喜昌,马成东,等. 菲律宾蛤仔形态性状及与遗传变异的关系研究[J]. 海洋环境科学,1999,18(2):5-10. [16]王宜艳,孙虎山,王为纲,等.养马岛紫彩血蛤肥满度的研究[J].海洋通报,1997,16(6):27-30. [17]闫喜武,张国范,杨凤,等.菲律宾蛤仔莆田群体与大连群体生物学比较[J]. 生态学报,2005,25(12):3329-3334. [18]姜组辉,王俊,唐启升.菲律宾蛤仔生理生态学研究I.温度、体重及摄食状态对耗氧率及排氮率的影响[J].海洋水产研究,1999,20(1):40-43. [19]王俊,姜祖辉,张波,等.菲律宾蛤仔生理生态学研究Ⅱ.温度、饵料对同化率的影响[J].海洋水产研究,1999,20(2):42-47. [20]赵匠.温度对杂色蛤仔贝生长发育的影响[J].通化师范学院学报,2001,22(5):64-65. [21]张继红,方建光,金显士,等.低温对菲律宾蛤仔能量收支的影响[J].水产学报,2002,26(5):423-429. [22]水柏年.环境因子对菲律宾蛤仔吐出杂物的影响[J].大连水产学院学报,2007,22(6):447-452. [23]董波,李军,王海燕,等.不同温度与饵料浓度下菲律宾蛤仔的能量收支[J].中国水产科学,2003,10(5):398-403. [24]王晓宇,周毅,杨红生.胶州湾菲律宾蛤仔呼吸排泄作用的现场研究[J].海洋与湖沼,2011,42(5):722-727. [25]张文彤,闫洁. SPSS统计分析高级教程[M].北京:高等教育出版社,2004:114-115. [26]刘春雷,常玉梅,梁利群,等.转大麻哈鱼生长激素基因鲤表型性状与体质量的相关性及通径分析[J]. 应用生态学报,2011,22(7):1893-1899. [27]王辉,刘志刚,符世伟.南海毛蚶形态特征对体重的相关分析[J].热带海洋学报,2007,26(6):58-63. [28]孙秀俊,杨爱国,刘志鸿,等. 2种壳色虾夷扇贝的形态学指标比较分析[J].安徽农业科学,2008,36(23):10008-10010.
2020, Vol. 39 
