浙江海洋学院学报:自然科学版
浙江海洋學院學報:自然科學版
절강해양학원학보:자연과학판
Journal of Zhejiang Ocean University(Natural Science Edition)
2012年
3期
191-196
,共6页
杨磊%赵晶%杨鹏%吕敢堂%王志铮%任夙艺
楊磊%趙晶%楊鵬%呂敢堂%王誌錚%任夙藝
양뢰%조정%양붕%려감당%왕지쟁%임숙예
脊尾白虾%体重%形态性状%多元分析
脊尾白蝦%體重%形態性狀%多元分析
척미백하%체중%형태성상%다원분석
Exopalaemon carinicauda%body weight%morphometric trait%multivariate analysis
随机选取3月龄同生群池养脊尾白虾90尾,分别逐尾测量其体重(BW)、体长(BL)、头胸甲长(CL)、头胸甲宽(CW)、头胸甲高(CH)、腹部高(AH)、腹部宽(AW)、腹部长(AL)、额剑长(RL)和尾扇长(TL)等10项生物学指标,并采用多元统计学方法分析了形态性状对体重的影响效应。结果表明:(1)除RL与AL间相关系数未达显著水平(P〉0.05)外,其余均达极显著水平(P〈0.01);(2)CL、CW、TL和AH是影响该虾体重的主要形态性状,通径分析和决定程度分析均指示CL为决定该虾体重的关键变量;(3)所建多元回归方程BW=1.847 CL+1.657 CW+1.110 TL+0.954 AH-3.825(R2=0.931,P〈0.01)可用于准确估算池养脊尾白虾的体重。
隨機選取3月齡同生群池養脊尾白蝦90尾,分彆逐尾測量其體重(BW)、體長(BL)、頭胸甲長(CL)、頭胸甲寬(CW)、頭胸甲高(CH)、腹部高(AH)、腹部寬(AW)、腹部長(AL)、額劍長(RL)和尾扇長(TL)等10項生物學指標,併採用多元統計學方法分析瞭形態性狀對體重的影響效應。結果錶明:(1)除RL與AL間相關繫數未達顯著水平(P〉0.05)外,其餘均達極顯著水平(P〈0.01);(2)CL、CW、TL和AH是影響該蝦體重的主要形態性狀,通徑分析和決定程度分析均指示CL為決定該蝦體重的關鍵變量;(3)所建多元迴歸方程BW=1.847 CL+1.657 CW+1.110 TL+0.954 AH-3.825(R2=0.931,P〈0.01)可用于準確估算池養脊尾白蝦的體重。
수궤선취3월령동생군지양척미백하90미,분별축미측량기체중(BW)、체장(BL)、두흉갑장(CL)、두흉갑관(CW)、두흉갑고(CH)、복부고(AH)、복부관(AW)、복부장(AL)、액검장(RL)화미선장(TL)등10항생물학지표,병채용다원통계학방법분석료형태성상대체중적영향효응。결과표명:(1)제RL여AL간상관계수미체현저수평(P〉0.05)외,기여균체겁현저수평(P〈0.01);(2)CL、CW、TL화AH시영향해하체중적주요형태성상,통경분석화결정정도분석균지시CL위결정해하체중적관건변량;(3)소건다원회귀방정BW=1.847 CL+1.657 CW+1.110 TL+0.954 AH-3.825(R2=0.931,P〈0.01)가용우준학고산지양척미백하적체중。
Effect of phenotypic and morphometric traits on body weight of Exopalaemon carinicauda were studied using correlation analysis, path analysis, and regression analysis. 90 individuals were randomly sampled from a pound. Body length (BL), carapace length (CL), carapace width (CW), carapace height (CH), total length of the abdominal segment(AL), width of the first abdominal segment(A W), height of the first abdominal segment (AH), tail fan length (FL), rostrum length (RL), and body weight (BW) were measured for all individuals. Corre- lation coefficients among all the traits were calculated. The results indicated that:(1) The correlation coeffi- cients between each traits were at extremely significant level (P〈0.01), except for that between RL and AL. (2) By path analysis, CL, CW, FL, and A H were used as independent variables (P〈0.05), and BW was used as de- pendent variable, and CL can be regard as the most important trait for determining the body weight of E. carinicauda.(3) Multiple regression equation (R2=0.931, P〈0.01) of the CL, CW, FL, and AH to BW was ohtained to estimate the body weight of'E. carinicauda, the regression intercept and partial coefficients of the e- quation were -3.825, 1.847, 1.657, 1.110 and 0.954, respectively.