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Coefficients of Kinship, Relationship and Inbreeding
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This page consist of inbreeding calculations for the sugar glider 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.
Each information block has an explanation button which can be clicked to find information on that specific subject.
NOTICE : Your present COI may change when and if additional ancestry is added to the lineage.
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Father (Wasabi SSGG) and Mother (elsa/anna/esme sisters LSG)
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Explanation
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Shown here are the parents of the sugar glider you selected for the COI% calculation or the sugar gliders you selected for "Virtual Mating".
The gender of these sugar gliders is shown here as well as the number of joeys they have in the pedigree database.
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List of common progency of father and mother
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Explanation
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Shown here are the joeys of the parents of the sugar glider you requested the calculation for.
The gender is shown here as well as the number of joeys that this animal has in the pedigree database.
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Ascendents count
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Total count of known ascendants (over 8 generations : max=510)
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262
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Count of distinct known ascendants (over 8 generations)
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125
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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. (8 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 8 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 sugar glider in the database the inbred percentage is shown here. If you clicked on the "Virutal Mating" button the value shown here is for any joeys that these two sugar gliders 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 sugar glider.
If you clicked on "Virutal Mating" these are the sugar gliders who will contribute the most to any potential joeys that the chosen father and mother might produce.
The fact that a sugar glider is the most contributing ascendent does not have to mean that that sugar glider also has the highest inbred precentage.
A sugar glider with a low inbred percentage can have a large contributing factor by being a closer relative (grandparent and great-grandparent for example) than other sugar gliders with a higher inbred percentage.
The sugar glider you selected will have most in common with the sugar gliders in this list.
If you clicked on the "Virtual Mating" the potential joeys will have most in common with the sugar gliders 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 sugar glider 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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5.7292%
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Coefficient of Inbreeding of Father
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1.5747%
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Coefficient of Inbreeding of Mother
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1.6357%
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Explanation
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Shown here are the statistics for the father and mother for the selected 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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