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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 (KANO TIFORET GORDELIVIY TIGR) and mother (GEMMA GARGONA DE VIL)
Name Gender children
KANO TIFORET GORDELIVIY TIGR 3 offspring
GEMMA GARGONA DE VIL 1 offspring
  • Explanation
  •  
    List of common progency of father and mother
    Name Gender children
    RONDINE PRIMAVERA 5 offspring
  • Explanation
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    Ascendents count
    Total count of known ascendants (over 10 generations : max=2046) 357
    Count of distinct known ascendants (over 10 generations) 157
  • Explanation
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    For any animal out of father and mother :
    Coefficient of Inbreeding (this value is low) 5.048%
  • Explanation
  •  
    Top contributing ascendants :
    Partial inbreeding due to VEPR 3.125%
    Partial inbreeding due to SHELDEN 0.790%
    Partial inbreeding due to KISS ME TIGER DUCH 0.781%
    Partial inbreeding due to AREK 0.195%
    Partial inbreeding due to SAIDA 0.049%
    Partial inbreeding due to PLUD 0.040%
    Partial inbreeding due to DAVID 0.024%
    Partial inbreeding due to RETICO 0.008%
    Partial inbreeding due to DAUNO 0.007%
    Partial inbreeding due to BRUNO 0.006%
  • Explanation
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    Most inbred ascendants :
    RETICO 26.563%
  • Explanation
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    Statistics for father and mother :
    Coefficient of Relationship between father and mother 10.041%
    Coefficient of Inbreeding of father 0.185%
    Coefficient of Inbreeding of mother 0.909%
  • 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