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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 (NEC) and mother (BEA)
Name Gender children
NEC 33 offspring
BEA 20 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    MANTO 0 offspring
    MARCOTONI 0 offspring
    MILU' 6 offspring
    MORA 0 offspring
    MORIS 0 offspring
    MUSTAN 0 offspring
  • Explanation
  •  
    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 181
    Count of distinct known ascendants (over 10 generations) 34
  • Explanation
  •  
    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is high) 26.831%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to OLIVIA 8.057%
    Partial inbreeding due to RETICO 7.910%
    Partial inbreeding due to DAUNO 5.249%
    Partial inbreeding due to TIPSI 2.075%
    Partial inbreeding due to BIBLI 1.099%
    Partial inbreeding due to ALIOT DI ORTANOVA 0.867%
    Partial inbreeding due to MIRAK 0.867%
    Partial inbreeding due to PICCIUT 0.708%
  • Explanation
  •  
    Most inbred ascendants :
    OLIVIA 28.906%
    RETICO 26.563%
  • Explanation
  •  
    Statistics for father and mother :
    Coefficient of Relationship between father and mother 45.633%
    Coefficient of Inbreeding of father 7.275%
    Coefficient of Inbreeding of mother 28.906%
  • 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