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随机选取池塘专养(M1)、日本沼虾套养(M2)以及水库放养(M3)3种养殖模式下培育的肛长为(25.91±3.26)cm的日本鳗鲡作为研究材料,比较了不同养殖模式下日本鳗鲡的形质指标,并采用聚类分析、主成分分析和判别分析等方法研究了3种养殖模式日本鳗鲡养成品的差异.结果表明:在所涉21项生物学指标和23项形质评价指数中,M1与M2之间具显著差异的分别为15项和14项,M1与M3之间具显著差异的分别为19项和18项,M2与M3之间具显著差异的分别为11项和8项;M1-M2、M1-M3、M2-M3之间的欧氏距离依次为1.433、3.516和2.167,均具显著差异;经主成分分析,提取到的5个特征值均大于1的主成分,累计贡献率达82.1%,其中第1主成分和第2主成分依次为与体型相关的肥瘦因子和与摄食行为相关的运动因子,后3个主成分为与营养状况有关的消化吸收因子,仅通过第1主成分便可较清晰地将3种养殖模式试验对象分开;采用逐步判别法,以判别贡献率较大的体宽/肛长、体长/肛长、净体积系数、鳔体积系数和肝系数为自变量,所建Fisher分类函数方程组可清晰区分3种模式的养殖群体,其判别准确率和综合判别准确率均为100%.
Randomly selected Japanese eel (25.91 ± 3.26 cm), which was cultivated under three farming modes of pond specialization (M1), Japanese marsh shrimp cultivation (M2) and reservoir stocking (M3) Model of Japanese eel 形 of the qualitative indicators, and the use of cluster analysis, principal component analysis and discriminant analysis methods to study the three breeding patterns of Japanese eel 鲡 product differences.The results show that: in the 21 biological indicators and 23 There were 15 items and 14 items in M1 and M2, respectively. There were 19 items and 18 items between M1 and M3, respectively. There were significant differences between M2 and M3 11 and 8 respectively. The Euclidean distances between M1-M2, M1-M3 and M2-M3 were 1.433, 3.516 and 2.167, respectively, which were significantly different. According to principal component analysis, the five eigenvalues The total principal contribution was more than 1, the cumulative contribution rate of 82.1%, of which the first principal component and the second principal component followed by body fat-related factor and feeding behavior-related exercise factor, the latter three main components and nutritional status Related to the digestion and absorption factor, only through the first principal component can be more clearly three farming model test pairs The discriminant method was used to discriminate the body width / anus length, body length / anus length, net volume coefficient, 鳔 volume factor and hepatic coefficient which contributed to the larger contribution rate. The established Fisher classification function equations could be clearly distinguished The three groups of breeding population, the discriminant accuracy and accuracy of comprehensive discrimination are 100%.