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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 (NEMO DI SPICCIANO) and mother (TEBE DI SPICCIANO)
Name Gender children
NEMO DI SPICCIANO 10 offspring
TEBE DI SPICCIANO 10 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    PABLO DI SPICCIANO 0 offspring
    PEDRO DI SPICCIANO 0 offspring
    PEPE DI SPICCIANO 0 offspring
    PERLA DI SPICCIANO 0 offspring
    PIPPO DI SPICCIANO 0 offspring
    PLUTO DI SPICCIANO 0 offspring
    POLDO DI SPICCIANO 0 offspring
    PONGO DI SPICCIANO 0 offspring
    PUFFA DI SPICCIANO 0 offspring
    PUPA DI SPICCIANO 0 offspring
  • Explanation
  •  
    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 14
    Count of distinct known ascendants (over 10 generations) 10
  • Explanation
  •  
    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is medium) 12.500%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to ELGA 6.250%
    Partial inbreeding due to MATTEO 3.125%
    Partial inbreeding due to BARONE 3.125%
  • Explanation
  •  
    Most inbred ascendants :
  • Explanation
  •  
    Statistics for father and mother :
    Coefficient of Relationship between father and mother 23.570%
    Coefficient of Inbreeding of father 0%
    Coefficient of Inbreeding of mother 12.500%
  • 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