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)
2014年
2期
134-139
,共6页
齐明%侯俊利%楼宝%陈睿毅%徐冬冬%詹炜%毛国民%张涛%金煜华%柏爱旭
齊明%侯俊利%樓寶%陳睿毅%徐鼕鼕%詹煒%毛國民%張濤%金煜華%柏愛旭
제명%후준리%루보%진예의%서동동%첨위%모국민%장도%금욱화%백애욱
四指马鲅%形态性状%相关分析%通径分析
四指馬鲅%形態性狀%相關分析%通徑分析
사지마발%형태성상%상관분석%통경분석
Eleutheronema tetradactylum%morphometric attribute%body weight%correlation analysis%path analysis
在人工养殖的一龄四指马鲅中随机选取236尾,测量其全长、体长、体重、体高、体厚等11个表型性状,以表型性状为自变量,采用通径分析计算体重为因变量的决定系数、通径系数及复相关指数。然后比较各个表型性状对体重的影响大小,确定各表型性状中影响一龄四指马鲅体重的主要外部形态性状,为四指马鲅选育提供理论依据和测量指标。结果表明:体重与所测定的表型性状的相关系数都达到了其显著水平(P<0.01);叉长对体重的直接影响(0.696)最大和决定程度(48.44%)最高,是影响体重的主要因素。体重与实验研究中所选表型性状的复相关系数为R2=0.909,表明实验所选性状是主要影响体重的表型性状。以体高、体厚和叉长为自变量,利用逐步回归分析方法,建立估计体重的多元回归方程为:y=-96.045+6.231x3+7.636x8+9.609x7。
在人工養殖的一齡四指馬鲅中隨機選取236尾,測量其全長、體長、體重、體高、體厚等11箇錶型性狀,以錶型性狀為自變量,採用通徑分析計算體重為因變量的決定繫數、通徑繫數及複相關指數。然後比較各箇錶型性狀對體重的影響大小,確定各錶型性狀中影響一齡四指馬鲅體重的主要外部形態性狀,為四指馬鲅選育提供理論依據和測量指標。結果錶明:體重與所測定的錶型性狀的相關繫數都達到瞭其顯著水平(P<0.01);扠長對體重的直接影響(0.696)最大和決定程度(48.44%)最高,是影響體重的主要因素。體重與實驗研究中所選錶型性狀的複相關繫數為R2=0.909,錶明實驗所選性狀是主要影響體重的錶型性狀。以體高、體厚和扠長為自變量,利用逐步迴歸分析方法,建立估計體重的多元迴歸方程為:y=-96.045+6.231x3+7.636x8+9.609x7。
재인공양식적일령사지마발중수궤선취236미,측량기전장、체장、체중、체고、체후등11개표형성상,이표형성상위자변량,채용통경분석계산체중위인변량적결정계수、통경계수급복상관지수。연후비교각개표형성상대체중적영향대소,학정각표형성상중영향일령사지마발체중적주요외부형태성상,위사지마발선육제공이론의거화측량지표。결과표명:체중여소측정적표형성상적상관계수도체도료기현저수평(P<0.01);차장대체중적직접영향(0.696)최대화결정정도(48.44%)최고,시영향체중적주요인소。체중여실험연구중소선표형성상적복상관계수위R2=0.909,표명실험소선성상시주요영향체중적표형성상。이체고、체후화차장위자변량,이용축보회귀분석방법,건립고계체중적다원회귀방정위:y=-96.045+6.231x3+7.636x8+9.609x7。
To study the effect of morphometric attributes on body weight of the Eleutheronema tetradacty-lum, morphometric measurement was collected from one-year-old 236 E. tetradactylum. The attributes used in this study include full length, body length, fork length, trunk length, head length, snout length, body width, body height, tail handle height, tail handle length, body weight. A correlation coefficient matrix was construct-ed, in which the body weight was used as the dependent variable and other attributes as independent variables for path analysis. The path coefficients, determination coefficient and correlation index were calculated, and major morphometrie attributes determined. The results showed that all the correlation coefficient between each <br> independent variable and dependent variable (body weight) were significantly different(P<0.01). The fork length gave a predominant direct effect (0.696) and determinacy on the body weight. It is the key effective factor. The high value of multiple correlation index R at 0.909 between morphometric attributes and body weight suggests that the selected attributes are practical. The multiple regression equation relating the body weight wag estab-lished as y=-96.045+6.231x3+7.636x8+9.609x7.