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采用灰色关联分析方法对牙鲆(Paralichthys olivaceus)10个选育家系的9个生长性状与体质量的关联度进行分析和评价。首先对体质量与生长性况进行数列无量纲化处理,计算出每个生长性状与体质量的关联系数和关联度,根据灰色关联度构建两两比较判断矩阵定量分析各生长性状对体质量的影响度。结果显示,每个生长性状与体质量的关联度由大到小依次为:全长(0.875 8)、体长(0.859 3)、尾柄高(0.830 7)、躯干长(0.827 7)、头长(0.803 5)、尾长(0.781 2)、体高(0.740 2)、吻长(0.665 7)和尾柄长(0.654 0)。体质量的主控因素为:全长、体长、尾柄高和躯干长4个性状,影响度分别为:28.51%、21.62%、16.41%和11.69%,四者的影响度总和达到78.23%。分析表明,与体质量关联度最大的分别是全长、体长、尾柄高和躯干长,且它们对体质量的影响度最高,可以将其作为培育高产牙鲆的重要评价指标,以提高选择效率。本研究旨在为制定理想的牙鲆选育目标、提高育种效率提供理论依据,同时拓展灰色关联度方法在水产动物育种研究中的应用。
Gray relational analysis was used to analyze the relationship between 9 growth traits and body mass of 10 Paralichthys olivaceus breeding lines. First of all, the relationship between body mass and growth status was dimensionlessized, and the correlation coefficient and correlation degree between each growth trait and body weight were calculated. Based on the gray relational degree, a pairwise comparison judgment matrix was constructed to quantitatively analyze the effects of growth traits on body weight Impact. The results showed that the correlations between the growth traits and body mass were as follows: full length (0.875 8), body length (0.859 3), caudal peduncle height (0.830 7), trunk length (0.827 7), head Length 0.803 5, tail length 0.781 2, height 0.740 2, kiss length 0.665 7 and caudal peduncle length 0.654 0. The main controlling factors of body weight were total length, body length, caudal peduncle height and trunk length with the influence degree of 28.51%, 21.62%, 16.41% and 11.69% respectively, the sum of the influence of the four reached 78.23% . The results showed that the most significant correlations with body weight were total length, body length, caudal height and trunk length, and they had the highest influence on body weight, which could be used as an important evaluation index to cultivate high-yield Japanese flounder Choose efficiency. The purpose of this study is to provide a theoretical basis for establishing the ideal breeding target of Paralichthys olivaceus and improving the breeding efficiency, and at the same time to expand the application of gray relational degree method in aquatic animal breeding research.