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不同性别口虾蛄形态性状对体重的影响分析及曲线拟合
张新明1, 程顺峰2
1.日照职业技术学院海洋工程学院 日照市海洋生物工程技术研究中心 日照 276826;2.青岛农业大学生命科学学院 青岛 266109
摘要:
为研究不同性别口虾蛄(Oratosquilla oratoria)生物学性状的相互关系,测量了其全长(TL)、体长(BL)、头胸甲长(CL)、尾扇长(FL)、腹部长(AL)、腹部宽(AW)、大螯长(LL)和体重(Y)共8个生物学指标,通过相关分析、通径分析等方法研究其形态性状对体重的影响,利用逐步回归法建立形态性状对体重的回归方程,拟合7个形态性状与体重的曲线模型。结果显示,口虾蛄体重的变异系数大于形态性状,雌性、雄性群体尾扇长、腹部宽、大螯长和体重等数量性状的差异极显著(P<0.01),雌性、雄性和混合群体各数量性状的相关性达到极显著水平(P<0.01)。在形态性状的相互关系中,对雌性、雄性和混合群体而言,全长和体长的相关系数最大,分别为0.984、0.993和0.988;形态性状和体重的关系中,雌性的全长与体重的相关系数最大(0.973),雄性的体长与体重的相关系数最大(0.974),混合群体的腹部宽与体重的相关系数最大(0.969)。雌性和混合群体对体重直接作用最大形态性状均为腹部宽(通径系数分别为0.418和0.508),雄性的体长对体重的直接作用最大(通径系数为0.613)。雌性、混合群体的腹部宽对体重的直接决定系数最大(0.175和0.258),雄性的体长对体重的直接决定系数最大(0.376)。雌性群体选育时主要考虑全长、腹部宽和头胸甲长,雄性群体主要考虑体长和腹部宽,混合群体主要考虑腹部宽和全长。以形态性状为自变量,体重为因变量建立的雌性、雄性群体和混合群体回归方程分别为Y1=–48.499+0.315XTL+1.159XAW+0.186XCL(R2=0.978)、Y2=–55.987+0.453XBL +1.152XAW(R2=0.959)和Y3=–51.651+1.738XAW+0.274XTL(R2=0.960)。研究表明,口虾蛄形态性状与体重之间的最优拟合模型有线性模型、幂函数模型、指数函数模型等,雌性、雄性口虾蛄除全长、腹部长与体重的最优拟合模型类型相同外,其他均不同。
关键词:  口虾蛄  形态性状  体重  通径分析  回归分析  曲线拟合
DOI:10.19663/j.issn2095-9869.20190828001
分类号:
基金项目:
Effect and Curve Fitting of Morphological Traits to Body Weight Between Male and Female Mantis Shrimp (Oratosquilla oratoria)
ZHANG Xinming1, CHENG Shunfeng2
1.Department of Marine Engineering, Rizhao Polytechnic, Rizhao Marine Biological Engineering Technology Research Center, Rizhao 276826;2.College of Life Sciences, Qingdao Agricultural University, Qingdao 266109
Abstract:
To study the correlation of biological traits between male and female mantis shrimp (Oratosquilla oratori), eight biological indicators, total length (TL), body length (BL), carapace length (CL), tail fan length (FL), abdominal length (AL), abdominal width (AW), large pincers length (LL), and wet weight (Y) were measured. The influence of morphological traits on body weight was studied using correlation analysis and path analysis. The regression equations representing the effect of morphological traits on body weight were established using the stepwise regression method, and the curve models of seven shape traits and body weight were fitted. The results showed that the variation coefficient of body weight was greater than that of the morphological traits, and quantitative traits such as FL, AW, LL, and Y were significantly different between male and female O. oratori (P<0.01) .The correlation of the quantitative traits reached a very significant level (P<0.01) among the female, male, and mixed populations. In the relationship of morphological traits, the correlation coefficients of TL to BL were largest in the female group, the male group, and the mixed group (0.984, 0.993, and 0.988, respectively); regarding the relationship of morphological traits to body weight, the correlation coefficient of TL to body weight was highest in the female group (0.973), the correlation coefficient of BL to body weight was largest in the male group (0.974), and the correlation coefficient of AW to body weight was largest in the mixed population group (0.969). The greatest direct effect on body weight in females and mixed populations was AW (diameter coefficients of 0.418 and 0.508, respectively), and the direct effect on body weight was the greatest in male BL (diameter coefficient, 0.613). The direct determination coefficient of AW to body weight was the highest in the female group and the mixed population group (0.175 and 0.258, respectively), and the direct determination coefficient of BL to body weight was the highest in the male group (0.376). TL, AW, and CL are mainly considered for the female population, BL and AW are mainly considered for the male population, whereas AW and TL are mainly considered for the mixed population. The regression equations of female, male, and mixed populations with morphological traits as independent variables and body weight as dependent variables are: Y1=–48.499+0.315XTL+1.159XAW+ 0.186XCL(R2=0.978), Y2=–55.987+0.453XBL+1.152XAW(R2=0.959), and Y3=–51.651+1.738XAW+0.274XTL (R2=0.960). The optimal fitting models of morphological traits to body weight of O. oratori include the linear model, power function model, and exponential function model. The same types of optimal fitting models are used except for TL, AL between male and female O. oratoria; in addition, nothing else is the same. This study can provide a theoretical basis for the selection of O. oratori.
Key words:  Oratosquilla oratoria  Morphological trait  Body weight  Path analysis  Regression analysis  Curve fitting