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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 (SIMON) and mother (NORA)
Name Gender children
SIMON 298 offspring
NORA 18 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    ASIA 0 offspring
    BOSCO 9 offspring
    CLAY 0 offspring
    DALIA 7 offspring
    ELSA 0 offspring
    GEO 3 offspring
    IGEA 2 offspring
    LEO (ICCF: LA VILLA'S LEO) 1 offspring
    MISTER 0 offspring
    NICO 0 offspring
    OLGA 7 offspring
    RUTH 3 offspring
  • Explanation
  •  
    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 64
    Count of distinct known ascendants (over 10 generations) 24
  • Explanation
  •  
    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is very low) 4.395%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to BULAN 1.758%
    Partial inbreeding due to DAUNO 1.367%
    Partial inbreeding due to TIPSI 0.586%
    Partial inbreeding due to ALIOT DI ORTANOVA 0.244%
    Partial inbreeding due to MIRAK 0.244%
    Partial inbreeding due to PICCIUT 0.195%
  • Explanation
  •  
    Most inbred ascendants :
  • Explanation
  •  
    Statistics for father and mother :
    Coefficient of Relationship between father and mother 8.789%
    Coefficient of Inbreeding of father 0%
    Coefficient of Inbreeding of mother 0%
  • 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