中国水产科学研究院机构知识库

Optimization of selective breeding through analysis of morphological traits in Chinese sea bass (Lateolabrax maculatus)

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文献类型：外文期刊

作者： Wang, W. ¹ ; Ma, C. Y. ¹ ; Chen, W. ¹ ; Ma, H. Y. ¹ ; Zhang, H. ¹ ; Meng, Y. Y. ¹ ; Ni, Y. ² ; Ma, L. B.;

作者机构： 1.Chinese Acad Fishery Sci, Key Lab East China Sea & Ocean Fishery Resources, East China Sea Fisheries Res Inst, Minist Agr, Shanghai, Peoples R China

2.Chinese Acad Fishery Sci, Key Lab East China Sea & Ocean Fishery Resources, East China Sea Fisheries Res Inst, Minist Agr, S

关键词： Lateolabrax maculatus;Correlation analysis;Path analysis;Morphological traits;Body weight

期刊名称：GENETICS AND MOLECULAR RESEARCH （影响因子：0.764；五年影响因子：0.912 ）

ISSN： 1676-5680

年卷期： 2016 年 15 卷 3 期

页码：

收录情况： SCI

摘要： Determining correlations between certain traits of economic importance constitutes an essential component of selective activities. In this study, our aim was to provide effective indicators for breeding programs of Lateolabrax maculatus, an important aquaculture species in China. We analyzed correlations between 20 morphometric traits and body weight, using correlation and path analyses. The results indicated that the correlations among all 21 traits were highly significant, with the highest correlation coefficient identified between total length and body weight. The path analysis indicated that total length (X-1), body width (X-5), distance from first dorsal fin origin to anal fin origin (X-10), snout length (X-16), eye diameter (X-17), eye cross (X-18), and slanting distance from snout tip to first dorsal fin origin (X-19) significantly affected body weight (Y) directly. The following multiple- regression equation was obtained using stepwise multiple-regression analysis: Y = -472.108 + 1.065X(1) + 7.728X(5) + 1.973X(10) - 7.024X(16) - 4.400X(17) - 3.338X(18) + 2.138X(19), with an adjusted multiple-correlation coefficient of 0.947. Body width had the largest determinant coefficient, as well as the highest positive direct correlation with body weight. At the same time, high indirect effects with six other morphometric traits on L. maculatus body weight, through body width, were identified. Hence, body width could be a key factor that efficiently indicates significant effects on body weight in L. maculatus.

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