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Relationships between body weight and other morphological traits in young sea cucumbers Apostichopus japonicas

机译:幼海参体重与其他形态性状的关系

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摘要

Correlation, multiple regression, and path analyses were used to investigate the relationships between body weight and three other morphological traits in juvenile Japanese sea cucumbers Apostichopus japonicus. We measured live body weight (BW), body length (BL), numbers of papillae (NP), and numbers of tube feet (NF) at 60, 80, 100, and 130 days post-hatching (dph). We calculated path correlation coefficients, correlation indices (R2), and coefficients of determination with BW as the dependent variable and the other morphological traits as independent variables. The coefficient of variation for BW was high across all age groups, and all measured morphological traits were significantly correlated (P<0.01). BL had the greatest direct effect on BW across all age groups (60 dph, 0.526; 80 dph, 0.404; 100 dph, 0.620;and 130 dph, 0.681), while NF had the greatest indirect effect on BW across all age groups (60 dph, 0.528;80 dph, 0.452; 100 dph, 0.666; and 130 dph, 0.603). Regression analyses between morphological traits and BW indicated that R2 was greater than 0.85 only in the 100-dph specimens. The indirect effects of the other measured morphological traits on BW were age-dependent. The optimal regression equations, as determined with stepwise regression, were, for 60-dph specimens: BW60=10(-3.04+0.092BL+0.014NP+0.014NF) (R2=0.632); for 80-dph specimens: BW80=10(-3.035+0.056BL+0.017NP+0.02NF) (R2=0.686); for 100-dph specimens:BW100=10(-3.742+0.069BL+0.633×lg(NP)+0.464×lg(NF) (R2=0.893); and for 130-dph specimens: BW130=10(-2.472+0.065BL+0.012NP) (R2=0.774). Our work clarified the correlation between various morphological traits and body weight of a commercially-important sea cucumber species (A. japonicus). Our predictive models for body weight might be useful for the aquaculture and selective breeding of A. japonicus. These models might also provide theoretical support for the indirect selection of traits that are difficult to select directly.
机译:使用相关性,多元回归和路径分析来研究日本海参Apostichopus japonicus体重与其他三个形态特征之间的关系。在孵化后60、80、100和130天(dph),我们测量了活体重(BW),体长(BL),乳头数量(NP)和管脚数量(NF)。我们计算了路径相关系数,相关指数(R2)和确定系数,其中BW为因变量,其他形态特征为自变量。 BW的变异系数在所有年龄组中均较高,并且所有测得的形态特征均显着相关(P <0.01)。在所有年龄段中,BL对BW的直接影响最大(60 dph,0.526; 80 dph,0.404; 100 dph,0.620; 130 dph,0.681),而NF在所有年龄段中对BW的间接影响最大(60 dph,0.528; 80 dph,0.452; 100 dph,0.666; 130 dph,0.603)。形态特征与体重之间的回归分析表明,R2仅在100 dph样品中大于0.85。其他测得的形态特征对体重的间接影响是年龄依赖性的。用逐步回归确定的最佳回归方程是:60-dph样品:BW60 = 10(-3.04 + 0.092BL + 0.014NP + 0.014NF)(R2 = 0.632);对于80-dph样品:BW80 = 10(-3.035 + 0.056BL + 0.017NP + 0.02NF)(R2 = 0.686);对于100 dph样品:BW100 = 10(-3.742 + 0.069BL + 0.633×lg(NP)+ 0.464×lg(NF)(R2 = 0.893);对于130 dph样品:BW130 = 10(-2.472 + 0.065 BL + 0.012NP)(R2 = 0.774)。我们的工作阐明了商业上重要的海参品种(A. japonicus)的各种形态特征与体重之间的相关性,我们的体重预测模型可能对水产养殖和这些模式还可能为间接选择难以直接选择的性状提供理论支持。

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  • 来源
    《中国海洋湖沼学报(英文版)》 |2019年第2期|759-766|共8页
  • 作者单位

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

    Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian 116023, China;

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  • 入库时间 2022-08-19 04:25:29
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