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为研究对虾选育群体形态性状与体质量的相互关系,随机选取经连续选育的第五代凡纳滨对虾268尾,测量体质量(W)、体长(X_1)、头胸甲长(X_2)、头胸甲高(X_3)、头胸甲宽(X_4)、第一腹节高(X_5)、第一腹节宽(X_6)、第二腹节高(X_7)、第二腹节宽(X_8)、第三腹节高(X_9)、第三腹节宽(X_(10))、第六腹节高(X_(11))、第六腹节宽(X_(12))、尾长(X_(13))共14个形态性状并进行相关分析及通径分析,研究各形态性状对体质量的影响。结果表明体长(X_1)、头胸甲长(X_2)、头胸甲高(X_3)和头胸甲宽(X_4)对体质量的通径系数达到极显著水平(P<0.01),是直接影响体质量的重要指标,其中体长的通径系数最大,是影响体质量的最主要因素,4个形态性状的决定系数之和达0.9311,成为影响体质量的主要形态性状,分别建立体质量(W)与体长(X_1)、头胸甲长(X_2)、头胸甲高(X_3)和头胸甲宽(X_4)关系的回归方程:W=0.0136X_1~(2.9559)(R~2=0.9642),W=0.7969X_2~(2.4042)(R~2=0.736),W=4.712X_3~(2.0628)(R~2=0.6373)和W=4.633X_4~(2.1903)(R~2=0.6819)。体长(X_1)、头胸甲长(X_2)、头胸甲高(X_3)、头胸甲宽(X_4)与体质量的多元回归方程为:Y=-21.798+2.569X_1+1.104X_2+1.069X_3+0.4231X_4。
In order to study the relationship between morphological traits and body weight of shrimp breeding population, we randomly selected 268 consecutive fifth generation V. vannamei shrimp, which were randomly selected to measure body weight (W), body length (X_1) X_2, X_3, X_4, X_5, X_6, X_7, the second abdominal segment (X_8), height of the third abdominal segment (X_9), width of the third abdominal segment (X_ (10)), height of the sixth abdominal segment (X_ (11)) and width of the sixth abdominal segment (X_ (12) Tail length (X_ (13)) of 14 morphological traits and correlation analysis and path analysis to study the morphological traits of the impact on body mass. The results showed that the path length coefficients of body weight (X 1, X 2, X 3, and X 4) reached significant levels (P <0.01), which were directly The most important factor influencing the body weight is the most important factor affecting the body weight. The sum of the determination coefficients of the four morphological traits reaches 0.9311, which becomes the main morphological trait that affects the body weight, and the body weight (W) and body length (X_1), carapace length (X_2), carapace height (X_3) and carapace width (X_4) regression equation: W = 0.0136X_1 ~ (2.9559) = 0.9642), W = 0.7969X_2 ~ (2.4042) (R ~ 2 = 0.736), W = 4.712X_3 ~ (2.0628) (R ~ 2 = 0.6373) and W = 4.633X_4 ~ (2.1903) ). The multiple regression equation of body length and length (X_1), carapace length (X_2), carapace height (X_3), carapace width (X_4) and body weight were Y = -21.798 + 2.569X_1 + 1.104X_2 + 1.069 X_3 + 0.4231X_4.