Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2013, Vol. 29 ›› Issue (2): 36-43.doi: 10.11924/j.issn.1000-6850.2012-0060

Special Issue: 水产渔业

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Morphometric Differences Analysis of Pelteobagrus vachelli, Pelteobagrus fulvidraco, Leiovassis crassilabrus and Their Hybrid F1

  

  • Received:2012-01-06 Revised:2012-10-05 Online:2013-01-15 Published:2013-01-15

Abstract: In order to provide more discriminant basis for Bagridae fish breeding, through the form and framework data determination of Hybrid groupⅠ(Pelteobagrus vachelli, Pelteobagrus fulvidraco and their positive and negative hybrid F1 generation), and Hybrid groupⅡ(Pelteobagrus vachelli, Pelteobagrus fu lvidraco, Leiovassis crassilabrus, Pelteobagrus fulvidraco♀×Leiovassis crassilabrus♂ F1 generation, and Pelteobagrus vachelli♀×Leiovassis crassilabrus♂ F1 generation), two methods of clustering and discriminant were analyzed, clustering results showed that hybrid F1 generations showed some of the maternal effects in GroupⅠ; in GroupⅡ, Pelteobagrus fulvidraco♀×Leiovassis crassilabrus♂ F1 generation showed more similar to its mother and Pelteobagrus vachelli♀×Leiovassis crassilabrus♂ F1 generation tend to be more familiar to its father. Discriminant anlysise results showed: the GroupⅠpositive and negative hybrid F1 generations showed evenly to their father and mother features, no more apparently showed male or female characteristic; In GroupⅡ, 5 population discriminant accuracy rate was 95.33%, clearly showed the difference between each group morphology. The conclusion: (1) The positive and negative hybrid generations of Pelteobagrus vachelli and Pelteobagrus fulvidraco, Pelteobagrus vachelli♀×Leiovassis crassilabrus♂ F1 generation represent significant maternal effects; well Pelteobagrus vachelli♀×Leiovassis crassilabrus♂ F1 generation represent more paternal effects; (2) Comprehensive use of proportion of trait parameters and calibration framework parameters had more ability than used alone to improve discrimination ability of shape classification. The more detailed parameters, the stronger the discriminant ability.