Schilduil Proc Inbreeding [2022-Latest] 🔛

1. In Free Add-On 1.9 the genetic relationship matrices were totally redesigned and are now the focus in this add-on. The relationship matrices are imported, exported and saved, as Excel sheets, with several options.
2. A script was written for calculating the inbreeding coefficient for an individual.
3. A menu was added in the maintenance sheet for the calculation of the inbreeding coefficient.
4. An InbreedingChart add-on was installed in order to put the calculated inbreeding coefficients on a chart.
5. A file with the calculated inbreeding coefficient for all individuals of a population was created.
6. A different Excel sheet was created for the maintenance of genetic relationships, with a choice of how to import, export and save the relationship matrix. Thereby, several matrices can be saved.

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Schilduil Proc Inbreeding is a package for the calculation of inbreeding coefficients and additive genetic relationship matrices.
Calculates inbreeding coefficients for one or multiple individuals
The input to this program are absolute numerical values in the order as it is used in the program to calculate inbreeding coefficients and genetic relationship matrices.
You may enter the absolute numerical values or enter relative values in a comma-delimited file (for example in Excel).
Calculates inbreeding coefficients for one or multiple individuals.
The input to this program are absolute numerical values in the order as it is used in the program to calculate inbreeding coefficients and genetic relationship matrices.
You may enter the absolute numerical values or enter relative values in a comma-delimited file (for example in Excel).
Calculates the genetic relationship matrices
The input to this program are absolute numerical values in the order as it is used in the program to calculate inbreeding coefficients and genetic relationship matrices.
You may enter the absolute numerical values or enter relative values in a comma-delimited file (for example in Excel).
Calculates the genetic relationship matrices
The input to this program are absolute numerical values in the order as it is used in the program to calculate inbreeding coefficients and genetic relationship matrices.
You may enter the absolute numerical values or enter relative values in a comma-delimited file (for example in Excel).
Voorzieningen:

The following are examples of input and output:
Input:
3.0
4.0
3.0

Output:
.0248
.0248
.2525

Input:
6
2
6

Output:
.0208

Input:
3.0
4.0
5.0

Output:
.0085
.0391
.0400

Input:
6
2
2

Output:
.0030
.0606
.0200
.0606

Input:
.50

Output:
1
1

Input:
0
0
2
3
1
0
4

Output:
.0015
.0015
.0334
.0334

Input:
1,1,1

Output:

Input:
.50
.50
.50

Output:
.1004

Schilduil Proc Inbreeding is a tool to calculate the genetic relationship among the individuals in a studbook based on the pedigree that is provided in the study population.
There are several possibilities to calculate the genetic relationship among individuals.
The relationship matrix is calculated from two main elements: the additive genetic relationship and the inbreeding coefficient of the individual.
Schilduil Proc Inbreeding has some features:
– There is an option to calculate the relationship matrix for several populations.
– SILDUIL PROC INBREEDING can be used on a NMR.
– SILDUIL PROC INBREEDING can be used on a MDS.
– SILDUIL PROC INBREEDING can be used for bulls and cows.
– SILDUIL PROC INBREEDING can be used to calculate relationship between females and males.

For using SILDUIL PROC INBREEDING
For using SILDUIL PROC INBREEDING, click on the grey arrow on top of the window. Then click the first button for you country. If you want to use the calculation of the relationship matrix on a NMR or MDS, just click on the 3 dots icon on the top right side.
Click on the orange button for selection of:
– the studbook of the population. The data is provided by SEGFRO.
– Sex of the individuals.
– Several populations.

Options to calculate relationship matrix
With SILDUIL PROC INBREEDING you can use several options to calculate the relationship matrix:
1) By sparsity (f = f.sp. )
2) By frequency
3) By different populations
4) By sex
1. FRAUDS only
2. FAMIES only
3. SELF only
4. X different populations
5. Different sex
– the first three options (1, 2, 3) are by default
– the last three options (4, 5, 6) are just for all the possibilities
1. If you have done a sparsity calculation (f = f.sp. ), the matrix will be calculated.
2. If you have done a frequency calculation (f = f.freq. ), the matrix will be calculated.
3. If you have done a self calculation (f = f.self. ), the matrix will be calculated.
4. If you have done a different populations calculation (f = f.pop

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