四明山脉溪流区水产经济动物棘胸蛙(Paa spinosa)成体形态性状对体质量和净体质量影响效应的性别差异

SEX-RELATED DIFFERENCES REFLECTED IN THE EFFECT OF MORPHOLOGICAL TRAITS ON BODY WEIGHT AND NET BODY WEIGHT OF AN ECONOMIC ANIMAL, PAA SPINOSA IN STREAMS OF SIMING MOUNTAINS

随机选取养殖于四明山脉溪流区的棘胸蛙3年龄同生群人工养成群体中的雌、雄成熟个体各84只作为研究材料,采用多元回归分析方法研究了鼻间距(INS)、眼间距(IS)、眼径(ED)、吻长(SL)、头长(HL)、头宽(HW)、肩宽(SW)、前肢长(FLL)、前肢臂长(FAL)、前足长(FFL)、后肢长(HLL)、后足长(HFL)、肩肛距(SAL)、体长(SUL)、体积(BV)等15项形态性状对体质量(BW)和净体质量(NW)影响效应的性别差异。结果表明:(1)除IS、ED、SL等3项形态性状测量值无性别差异外,其余12项形态性状及BW、NW测量值均呈雄性显著大于雌性(P<0.05);(2)各形态性状与雄性测定群体的BW和NW测量值均呈显著相关(P<0.05),而与雌性BW和NW测量值未呈显著相关的形态性状则分别为ED、SL、FFL和ED、SL、HL(P>0.05);(3)经通径分析,雄性被保留的形态性状与BW、NW的复相关指数分别为0.952和0.939,雌性被保留的形态性状对BW、NW的复相关指数分别为0.922和0.860,其中影响两者BW和NW的决定性变量均为BV;(4)经多元回归分析,本文分别给出了用于估算棘胸蛙两性成体BW和NW的回归方程。

We studied 84 pairs of three-year-old matured individuals of Paa spinosa in gender that randomly sampled from a cohort of artificial cultured single species. Fifteen morphological traits were selected and measured, including internasal length(INS), interorbital length(IS), eye diameter(ED), snout length(SL), head length(HL), head width(HW), shoulder width(SW), fore-limb length(FLL), fore-arm length(FAL), forefoot length(FFL), hind-limb length(HLL), hind foot length(HFL), shoulder-to-anus length(SAL), snout-urostyle length(SUL), and volume of body(BV). Results of multivariate regression reveal obvious differences in gender in the effect of morphological traits on body weight(BW) and net body weight(NW) weight of P. spinosa. Except for IS, ED, and SL, among the rest 12 morphological traits, values BW and NW were significant higher in males than those of females(P<0.05). All the correlation coefficients between each morphological trait and BW, and NW, were at extremely significant level(P<0.01) in males. The traits that showed no significant correlation with BW and NW of females were ED, SL, FFL, and ED, SL, HL, respectively. In path analysis, BV was the decisive variable on BW and NW. The greatest or decisive correlation indices(R2) of the reserved morphological traits on BW and NW were 0.952 and 0.939 for males, and 0.922 and 0.860 for females, respectively. Multiple regression equations were used to estimate BW and NW, based on which equations in BW and NW for each gender were established.