水产科学
水產科學
수산과학
FISHERIES SCIENCE
2014年
6期
363-368
,共6页
李军%骆小年%金广海%刘义新%李敬伟%杨培民
李軍%駱小年%金廣海%劉義新%李敬偉%楊培民
리군%락소년%금엄해%류의신%리경위%양배민
鱼骨唇%形态性状%相关分析%通径分析%多元回归方程
魚骨脣%形態性狀%相關分析%通徑分析%多元迴歸方程
어골진%형태성상%상관분석%통경분석%다원회귀방정
Hemibarbus labeo%morphometric trait%correlation analysis%path analysis%multiple regression equation
测量234尾3月龄唇的全长( x1)、体长( x2)、体高( x3)、头长( x4)、吻长( x5)、眼径( x6)、眼后头长(x7)、尾柄长(x8)、尾柄高(x9)、头高(x10)及体质量(y)11个形态学指标。运用相关分析、通径分析和回归分析,分别计算了形态性状的相关系数、影响体质量的主要形态性状的通径系数和决定系数,建立了主要形态性状与体质量的回归方程。试验结果表明,唇的体质量变异系数最大(21.5806%)。各形态性状间的表型相关系数均达极显著水平(P<0.01)。通径分析结果表明,体长、体高、眼径、尾柄高与头高达显著水平,是影响体质量的主要形态性状,其通径系数分别为0.4316、0.3487、-0.0621、0.2071和0.1101。主要形态性状对唇体质量的决定系数中,体长最大,为0.1863,其他性状由大到小依次为体高(0.1216)、尾柄高(0.0429)、头高(0.0121)和眼径(0.0039);两两性状对体质量的决定程度中,体长和体高对体质量的影响最大。复相关分析和回归分析结果表明,体长、体高、眼径、尾柄高和头高5个性状对体质量的相关指数达到0.892,回归关系达到显著水平( P<0.05)。应用逐步多元回归分析建立了以体质量为依变量,体长、体高、眼径、尾柄高和头高为自变量的回归方程:y =-3.778+0.550 x2+1.417 x3-0.839 x6+1.915 x9+0.715 x10,方程回归关系达到极显著水平( P<0.01)。唇幼鱼体长、体高、眼径、尾柄高、头高和体质量分别为(5.30±0.34)cm,(1.15±0.11)cm,(0.51± 0.03) cm ,(0.49 ± 0.05) cm ,(0.99 ± 0.07) cm和(1.98 ± 0.43) g ,在网箱内饲养26个月,体长、体高、眼径、尾柄高、头高和体质量分别为(32.40±2.87)cm,(7.22±0.84)cm,(1.18±0.09)cm,(2.78± 0.32) cm ,(5.33 ± 0.64) cm和(576.94±143.82) g。
測量234尾3月齡脣的全長( x1)、體長( x2)、體高( x3)、頭長( x4)、吻長( x5)、眼徑( x6)、眼後頭長(x7)、尾柄長(x8)、尾柄高(x9)、頭高(x10)及體質量(y)11箇形態學指標。運用相關分析、通徑分析和迴歸分析,分彆計算瞭形態性狀的相關繫數、影響體質量的主要形態性狀的通徑繫數和決定繫數,建立瞭主要形態性狀與體質量的迴歸方程。試驗結果錶明,脣的體質量變異繫數最大(21.5806%)。各形態性狀間的錶型相關繫數均達極顯著水平(P<0.01)。通徑分析結果錶明,體長、體高、眼徑、尾柄高與頭高達顯著水平,是影響體質量的主要形態性狀,其通徑繫數分彆為0.4316、0.3487、-0.0621、0.2071和0.1101。主要形態性狀對脣體質量的決定繫數中,體長最大,為0.1863,其他性狀由大到小依次為體高(0.1216)、尾柄高(0.0429)、頭高(0.0121)和眼徑(0.0039);兩兩性狀對體質量的決定程度中,體長和體高對體質量的影響最大。複相關分析和迴歸分析結果錶明,體長、體高、眼徑、尾柄高和頭高5箇性狀對體質量的相關指數達到0.892,迴歸關繫達到顯著水平( P<0.05)。應用逐步多元迴歸分析建立瞭以體質量為依變量,體長、體高、眼徑、尾柄高和頭高為自變量的迴歸方程:y =-3.778+0.550 x2+1.417 x3-0.839 x6+1.915 x9+0.715 x10,方程迴歸關繫達到極顯著水平( P<0.01)。脣幼魚體長、體高、眼徑、尾柄高、頭高和體質量分彆為(5.30±0.34)cm,(1.15±0.11)cm,(0.51± 0.03) cm ,(0.49 ± 0.05) cm ,(0.99 ± 0.07) cm和(1.98 ± 0.43) g ,在網箱內飼養26箇月,體長、體高、眼徑、尾柄高、頭高和體質量分彆為(32.40±2.87)cm,(7.22±0.84)cm,(1.18±0.09)cm,(2.78± 0.32) cm ,(5.33 ± 0.64) cm和(576.94±143.82) g。
측량234미3월령진적전장( x1)、체장( x2)、체고( x3)、두장( x4)、문장( x5)、안경( x6)、안후두장(x7)、미병장(x8)、미병고(x9)、두고(x10)급체질량(y)11개형태학지표。운용상관분석、통경분석화회귀분석,분별계산료형태성상적상관계수、영향체질량적주요형태성상적통경계수화결정계수,건립료주요형태성상여체질량적회귀방정。시험결과표명,진적체질량변이계수최대(21.5806%)。각형태성상간적표형상관계수균체겁현저수평(P<0.01)。통경분석결과표명,체장、체고、안경、미병고여두고체현저수평,시영향체질량적주요형태성상,기통경계수분별위0.4316、0.3487、-0.0621、0.2071화0.1101。주요형태성상대진체질량적결정계수중,체장최대,위0.1863,기타성상유대도소의차위체고(0.1216)、미병고(0.0429)、두고(0.0121)화안경(0.0039);량량성상대체질량적결정정도중,체장화체고대체질량적영향최대。복상관분석화회귀분석결과표명,체장、체고、안경、미병고화두고5개성상대체질량적상관지수체도0.892,회귀관계체도현저수평( P<0.05)。응용축보다원회귀분석건립료이체질량위의변량,체장、체고、안경、미병고화두고위자변량적회귀방정:y =-3.778+0.550 x2+1.417 x3-0.839 x6+1.915 x9+0.715 x10,방정회귀관계체도겁현저수평( P<0.01)。진유어체장、체고、안경、미병고、두고화체질량분별위(5.30±0.34)cm,(1.15±0.11)cm,(0.51± 0.03) cm ,(0.49 ± 0.05) cm ,(0.99 ± 0.07) cm화(1.98 ± 0.43) g ,재망상내사양26개월,체장、체고、안경、미병고、두고화체질량분별위(32.40±2.87)cm,(7.22±0.84)cm,(1.18±0.09)cm,(2.78± 0.32) cm ,(5.33 ± 0.64) cm화(576.94±143.82) g。
Eleven morphometric attributes including total length (x1 ) ,body length(x2 ) ,body depth (x3 ) , head length (x4 ) ,snout length (x5 ) ,interorbital (x6 ) ,postorbital head length (x7 ) ,caudal peduncle length (x8 ) ,caudal peduncle depth (x9 ) ,head depth(x10 ) and body weight(y) were measured in 234 three‐month‐old H emibarbus labeo samples . T he correlation index , path coefficients and determination coefficient were calculated based on morphometric attributes by correlation analysis ,path analysis and multivariate analysis ,and the significan morphometric attributes (P<0 .05) were used to establish the multiple regression equations .The results showed that the maximal coefficient of variation was found in y (21 .5806% ) , higher than that in variation of the other morphological attributes , with a normal distribution in morphometric attributes . T he correlation coefficients of morphological attributes to body weight were all at very significant level (P< 0 .01) .The path analysis revealed that partial regression coefficients of x2 (0 .4316) , x3 (0 .3487) , x6 (-0 .0621) , x9 (0 .2071) and x10 (0 .1101) were found at significant level (P< 0 .05) .The determination coefficients was larger in x2 (0 .1863) than that in x3 (0 .1216) ,x9 (0 .0429) ,x10 (0 .0121) and x6 (0 .0039) .The determination coefficient of x2 and x3 to y was higher than that of others .The high value of correlation index between morphometric attributes and body weight was 0 .892 (r2 ) with significant level (P<0 .05) ,indicating that the five attributes (x2 ,x3 ,x6 ,x9 and x10 ) were key morphometric attributes to the body weight and practical in the selective breeding of H . labeo .The significant morphometric attributes (P<0 .05) were used to establish the multiple regression equation as y = -3 .778+0 .550x2 +1 .417x3 -0 .839x6 +1 .915x9 +0 .715x10 ,in juvenile H .labeo[x2 =(5 .30 ± 0 .34) cm ,x3 = (1 .15 ± 0 .11) cm ,x6 = (0 .51 ± 0 .03) cm ,x9 = (0 .49 ± 0 .05) cm ,and x10 =(0 .99 ± 0 .07) cm ,Y = (1 .98 ± 0 .43) g] .The fish cultured in the cage for 26 months had x2 = (32 .40 ± 2 .87 ) cm ,x3 = (7 .22 ± 0 .84 ) cm , x6 (1 .18 ± 0 .09 )cm , x9 (2 .78 ± 0 .32 ) cm , x10 (5 .33 ± 0 .64 ) cm and y= (576 .94 ± 143 .82 ) g .