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Coefficients of Kinship, Relationship and Inbreeding
This page consist of inbreeding calculations for the Cane Corso you selected or the "Virtual Mating" you have entered.
The calculations on this page are accurate to the point that they can only be made based upon the information in the database.
For more detailed calculations please make sure that as many as possible of the ancestors are known in the database.
We hope this tool will be valuable to breeders and enthousiasts.
Each information block has an explanation button which can be clicked to find information on that specific subject.
 
father (ARNOLD) and mother (DAFNE)
Name Gender children
ARNOLD 14 offspring
DAFNE 4 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    DEMON 7 offspring
    LIUFO 0 offspring
    NITRA 0 offspring
  • Explanation
  •  
    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 1005
    Count of distinct known ascendants (over 10 generations) 327
  • Explanation
  •  
    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is very low) 3.389%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to DACA 1.208%
    Partial inbreeding due to EL DIABLO 1.186%
    Partial inbreeding due to TEQUILA 0.244%
    Partial inbreeding due to KEOPE 0.208%
    Partial inbreeding due to SPIKE 0.195%
    Partial inbreeding due to ZAIRA 0.061%
    Partial inbreeding due to ROCKI 0.055%
    Partial inbreeding due to PANTERA 0.055%
    Partial inbreeding due to SADDAM 0.043%
    Partial inbreeding due to NERO 0.016%
  • Explanation
  •  
    Most inbred ascendants :
    AMSA 26.563%
    VESPA 15.625%
  • Explanation
  •  
    Statistics for father and mother :
    Coefficient of Relationship between father and mother 6.174%
    Coefficient of Inbreeding of father 0.738%
    Coefficient of Inbreeding of mother 19.603%
  • Explanation
  •  
    Inbred pedigree
    Click here for the Inbred pedigree
     
    A word of thanks
    We would like to thank Jacques Le Renard for the algorithms behind this webpage. Jacques has spent many hours perfecting these calculations. Please visit his website E.R.o's Information System