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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 (CIANO) and mother (ORSA )
Name Gender children
CIANO 24 offspring
ORSA 10 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    BENITO 0 offspring
    DEVIL 0 offspring
    ETTORE 0 offspring
    GEMMA 0 offspring
    KIRA 0 offspring
    MARILYN 0 offspring
    SHEILA 0 offspring
    SIRA 0 offspring
    TACO 0 offspring
    TEO 0 offspring
  • Explanation
  •  
    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 158
    Count of distinct known ascendants (over 10 generations) 39
  • Explanation
  •  
    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is high) 21.344%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to BRANDO 9.375%
    Partial inbreeding due to ANITA 6.470%
    Partial inbreeding due to ORSO 3.125%
    Partial inbreeding due to ROCKI 1.270%
    Partial inbreeding due to SARA 0.781%
    Partial inbreeding due to PANTERA 0.244%
    Partial inbreeding due to ELSA 0.079%
  • Explanation
  •  
    Most inbred ascendants :
  • Explanation
  •  
    Statistics for father and mother :
    Coefficient of Relationship between father and mother 39.155%
    Coefficient of Inbreeding of father 2.441%
    Coefficient of Inbreeding of mother 16.028%
  • 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