厦门大学学报(自然科学版)
廈門大學學報(自然科學版)
하문대학학보(자연과학판)
JOURNAL OF XIAMEN UNIVERSITY (NATURAL SCIENCE)
2014年
2期
289-296
,共8页
董宏标%苏永全%毛勇%边力%王军
董宏標%囌永全%毛勇%邊力%王軍
동굉표%소영전%모용%변력%왕군
日本囊对虾%形态变异类型%形态性状%相关分析%多元回归
日本囊對蝦%形態變異類型%形態性狀%相關分析%多元迴歸
일본낭대하%형태변이류형%형태성상%상관분석%다원회귀
Marsupenaeus japonicus%morphologically similar varieties%morphometric trait%correlation analysis%multipleregression
我国沿海日本囊对虾(Marsupenaeus j apnicus )群体可依据其头胸部侧面斜纹延伸到头部腹面与否分为2种不同形态变异类型.随机选取室内相同养殖环境下2种形态变异类型 F1群体对虾各90尾,分别测量体长(X 1)、头胸部长(X 2)、第1~6腹节长(X 3~X 8)、尾节长(X 9)、头胸部宽(X 10)、第1~6腹节宽(X 11~X 16)、尾节宽(X 17)、头胸部高(X 18)、第1~6腹节高(X 19~X 24)等24项形态指标和体质量(Y )性状.比较2种形态变异类型群体各形态性状与体长的比例参数发现,二者在体形上存在一定差异.相关分析和通径分析结果表明,两群体对虾各形态性状与体质量的相关性均达到极显著(p<0.01)水平;形态变异类型Ⅰ群体的体长、第1腹节宽、头胸部宽、第5腹节长、第3腹节长和第6腹节宽对体质量直接影响显著;形态变异类型Ⅱ群体则以体长、头胸部长、第5腹节宽和第1腹节宽对体质量直接影响显著;两群体决定系数分析结果与通径分析结果一致.经显著性分析,将偏回归系数显著的变量对体质量建立多元回归方程,形态变异类型Ⅰ:Y=-23.789+1.525X 1+5.183X 10+10.889X 11+5.671X 7-4.066X 5-4.054X 16,形态变异类型Ⅱ:Y=-20.533+1.476X 1+4.759X 11+1.573X 2+6.864X 15,2个方程的回归关系均达到了极显著水平(p <0.01).研究结果表明,该结果可为日本囊对虾生长性状相关选育提供测度指标.
我國沿海日本囊對蝦(Marsupenaeus j apnicus )群體可依據其頭胸部側麵斜紋延伸到頭部腹麵與否分為2種不同形態變異類型.隨機選取室內相同養殖環境下2種形態變異類型 F1群體對蝦各90尾,分彆測量體長(X 1)、頭胸部長(X 2)、第1~6腹節長(X 3~X 8)、尾節長(X 9)、頭胸部寬(X 10)、第1~6腹節寬(X 11~X 16)、尾節寬(X 17)、頭胸部高(X 18)、第1~6腹節高(X 19~X 24)等24項形態指標和體質量(Y )性狀.比較2種形態變異類型群體各形態性狀與體長的比例參數髮現,二者在體形上存在一定差異.相關分析和通徑分析結果錶明,兩群體對蝦各形態性狀與體質量的相關性均達到極顯著(p<0.01)水平;形態變異類型Ⅰ群體的體長、第1腹節寬、頭胸部寬、第5腹節長、第3腹節長和第6腹節寬對體質量直接影響顯著;形態變異類型Ⅱ群體則以體長、頭胸部長、第5腹節寬和第1腹節寬對體質量直接影響顯著;兩群體決定繫數分析結果與通徑分析結果一緻.經顯著性分析,將偏迴歸繫數顯著的變量對體質量建立多元迴歸方程,形態變異類型Ⅰ:Y=-23.789+1.525X 1+5.183X 10+10.889X 11+5.671X 7-4.066X 5-4.054X 16,形態變異類型Ⅱ:Y=-20.533+1.476X 1+4.759X 11+1.573X 2+6.864X 15,2箇方程的迴歸關繫均達到瞭極顯著水平(p <0.01).研究結果錶明,該結果可為日本囊對蝦生長性狀相關選育提供測度指標.
아국연해일본낭대하(Marsupenaeus j apnicus )군체가의거기두흉부측면사문연신도두부복면여부분위2충불동형태변이류형.수궤선취실내상동양식배경하2충형태변이류형 F1군체대하각90미,분별측량체장(X 1)、두흉부장(X 2)、제1~6복절장(X 3~X 8)、미절장(X 9)、두흉부관(X 10)、제1~6복절관(X 11~X 16)、미절관(X 17)、두흉부고(X 18)、제1~6복절고(X 19~X 24)등24항형태지표화체질량(Y )성상.비교2충형태변이류형군체각형태성상여체장적비례삼수발현,이자재체형상존재일정차이.상관분석화통경분석결과표명,량군체대하각형태성상여체질량적상관성균체도겁현저(p<0.01)수평;형태변이류형Ⅰ군체적체장、제1복절관、두흉부관、제5복절장、제3복절장화제6복절관대체질량직접영향현저;형태변이류형Ⅱ군체칙이체장、두흉부장、제5복절관화제1복절관대체질량직접영향현저;량군체결정계수분석결과여통경분석결과일치.경현저성분석,장편회귀계수현저적변량대체질량건립다원회귀방정,형태변이류형Ⅰ:Y=-23.789+1.525X 1+5.183X 10+10.889X 11+5.671X 7-4.066X 5-4.054X 16,형태변이류형Ⅱ:Y=-20.533+1.476X 1+4.759X 11+1.573X 2+6.864X 15,2개방정적회귀관계균체도료겁현저수평(p <0.01).연구결과표명,해결과가위일본낭대하생장성상상관선육제공측도지표.
The kuruma shrimp Marsupenaeus j aponicus is widely distributed throughout the Indo-West Pacific.Two morphologically similar varietiesⅠand Ⅱ,are recognized along the coast of China.These two varieties are characterized by different color banding patterns on the carapace.In this study,ninety individuals from two morphologically similar varieties of Marsupenaeus j aponicus were randomly sampled respectively for measuring 24 morphometric traits including body length (X1 ),carapace length (X2 ),the first-sixth abdominal segment length (X3-X8 ),telson length (X9 ),carapace width (X1 0 ),the first-sixth abdominal seg-ment width (X1 1-X1 6 ),telson width(X1 7 ),carapace height (X1 8 ),the first-sixth abdominal segment height (X1 9-X24 ).The results for morphological characteristics showed that there is some difference in the body figure between the two varieties.By correlation and path analysis,the results showed that the correlation coefficients of each morphological trait to body weight (Y )were all at extremely significant level (p<0.01).The path coefficients of body length,the first abdominal segment width,carapace width,the fifth abdomi-nal segment length,the third abdominal segment length and the sixth abdominal segment width of varietyⅠto body weight all reach significant level (p<0.05),but the direct effect of the last two traits to body weight is negative.The body length,carapace length, the fifth abdominal segment width and the first abdominal segment width of varietyⅡ to body weight all reach significant level (p<0.05).The result of determination coefficients analysis was consistent with that of path in two varieties.The morphometric traits which reach level of significance (p <0.05 )are used to establish the multiple regression equations,which were Y=-23.789+1.525X1+5.183X1 0 + 10.889X1 1 +5.671X7 -4.066X5 -4.054X1 6 (varietyⅠ)and Y=-20.533+1.476X1 +4.759X1 1 +1.573X2+6.864X1 5 (varietyⅡ),respectively.