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Coefficients of Kinship, Relationship and Inbreeding
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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.
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father (CENTURION DE LA MIRAGE DE TORRELLAS) and mother (GISELLE DE LA MIRAGE DE TORRELAS)
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Explanation
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Shown here are the parents of the Cane Corso you selected for the COI% calculation or the Cane Corso you selected for "Virtual Mating".
The gender of these Cane Corso is shown here as well as the number of children they have in the pedigree database.
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List of common progency of father and mother
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Name
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Gender
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children
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| ASTRID |
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1 offspring |
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Explanation
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Shown here are the children of the parents of the Cane Corso you requested the calculation for.
The gender is shown here as well as the number of children that this animal has in the pedigree database.
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Ascendents count
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Total count of known ascendants (over 10 generations : max=2046)
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1380
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Count of distinct known ascendants (over 10 generations)
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175
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Explanation
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Shown here are the number of ascendents found in this specific pedigree tree.
A complete tree will contain up to 510 ascendants. (10 generations are used for the calculations on this page).
Also shown is the number of unique ascendents. These figures will give you an indication as to how varied the gene pool is for this animal.
A total count of 500 animals with only 100 unique ascendents means that out of the 500 animals found in 10 generations there are only 100 unique animals present. These 100 animals make up the tree. Obviousily 510 unique ascendents would be better for a more varied (less inbred) gene pool.
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If you clicked on the COI% calculation for a single Cane Corso in the database the inbred percentage is shown here. If you clicked on the "Virutal Mating" button the value shown here is for any children that these two Cane Corso might produce. | percentage | Value | | 0% - 1% | too low to be reliable | | 1% - 2% | very very low | | 2% - 5% | very low | | 5% - 10% | low | | 10% - 20% | medium | | 20% - 35% | high | | 35% - 55% | very high | | >55% | Huge! |
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Here you'll find a list of the ascendents (parents, gandparents etc.) who contribute the most to the genetic makeup of the selected Cane Corso.
If you clicked on "Virutal Mating" these are the Cane Corso who will contribute the most to any potential children that the chosen father and mother might produce.
The fact that a Cane Corso is the most contributing ascendent does not have to mean that that Cane Corso also has the highest inbred precentage.
A Cane Corso with a low inbred percentage can have a large contributing factor by being a closer relative (grandparent and great-grandparent for example) than other Cane Corso with a higher inbred percentage.
The Cane Corso you selected will have most in common with the Cane Corso in this list.
If you clicked on the "Virtual Mating" the potential children will have most in common with the Cane Corso in this list.
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Shown here are the ascendents in the pedigree tree with the highest inbred percentages.
This list gives an indication of the inbred percentages in earlier generations which (could) affect the selected Cane Corso or selected mating.
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Statistics for father and mother :
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Coefficient of Relationship between father and mother
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43.610%
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Coefficient of Inbreeding of father
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5.275%
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Coefficient of Inbreeding of mother
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20.075%
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Explanation
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Shown here are the statistics for the father and mother for the selected Cane Corso or selected mating.
Coefficient of Relationship between father and mother is the amount of relationship between the pedigrees of the parents.
Also shown are the inbred percentages of both the father and mother.
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A word of thanks
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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
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