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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 (ULISSE) and mother (RIVA)
Name Gender children
ULISSE 5 offspring
RIVA 6 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    XEIRAS 1 offspring
    XRAY CARSON PORTA DELL INFERNO 9 offspring
  • Explanation
  •  
    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 470
    Count of distinct known ascendants (over 10 generations) 169
  • Explanation
  •  
    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is very very low) 1.258%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to ELSA 0.287%
    Partial inbreeding due to KIRA 0.262%
    Partial inbreeding due to BRUNO 0.244%
    Partial inbreeding due to OTELLO 0.180%
    Partial inbreeding due to PANTERA 0.085%
    Partial inbreeding due to LEONE 0.043%
    Partial inbreeding due to DAUNO 0.039%
    Partial inbreeding due to ARGOS 0.031%
    Partial inbreeding due to BULAN 0.019%
    Partial inbreeding due to AMSA 0.017%
  • Explanation
  •  
    Most inbred ascendants :
    AMSA 26.563%
    ARGOS 25%
  • Explanation
  •  
    Statistics for father and mother :
    Coefficient of Relationship between father and mother 2.466%
    Coefficient of Inbreeding of father 1.639%
    Coefficient of Inbreeding of mother 2.432%
  • 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