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Statements

Subject Item
n2:RIV%2F00027014%3A_____%2F14%3A%230002099%21RIV15-MZE-00027014
rdf:type
n11:Vysledek skos:Concept
rdfs:seeAlso
http://www.vuzv.cz/sites/File/_privat/14146.pdf
dcterms:description
The objective of this study was to calculate the breeding values (BVs) of traits missing in a selection index. Different traits can be evaluated within the breeding programs of given countries. The BV of a trait can be calculated based on genetic correlations with other traits. Similarly, the BV of a missing trait can be calculated for imported bulls. Two methods of calculation were used. Method A was based on a regression of BVs. Method B was based on performing a de-regression of BVs and their retroactive calculation. Both of these methods were tested using a Czech and a Canadian database of BVs for Holstein bulls. The Czech database of Holstein bulls contained 766 bulls and the Canadian database 851. Two calculations were performed for bulls with low reliability of estimated BVs, the first calculation with their genetic correlation matrix and the second with a genetic correlation matrix created from a set of bulls with high reliability of BVs. These newly calculated BVs (CBVs) were then compared with the national BVs (NBVs) using correlation coefficients. The highest correlations were achieved with high reliability bulls when all traits were included into the calculation (34 evaluated traits). The correlations of these bulls averaged 0.82, with an average standard deviation of 0.19. The lowest correlations were found when low reliability bulls were included and the genetic correlation matrix from the high reliability bulls was applied. That average correlation was 0.74 and standard deviation 0.25. When only 15 traits were evaluated in the model, the average correlation for all sets was 0.68 with standard deviation of 0.28. These results show that calculating the BV of a missing trait is possible using both methods. Method B was slightly more accurate in its prediction. The objective of this study was to calculate the breeding values (BVs) of traits missing in a selection index. Different traits can be evaluated within the breeding programs of given countries. The BV of a trait can be calculated based on genetic correlations with other traits. Similarly, the BV of a missing trait can be calculated for imported bulls. Two methods of calculation were used. Method A was based on a regression of BVs. Method B was based on performing a de-regression of BVs and their retroactive calculation. Both of these methods were tested using a Czech and a Canadian database of BVs for Holstein bulls. The Czech database of Holstein bulls contained 766 bulls and the Canadian database 851. Two calculations were performed for bulls with low reliability of estimated BVs, the first calculation with their genetic correlation matrix and the second with a genetic correlation matrix created from a set of bulls with high reliability of BVs. These newly calculated BVs (CBVs) were then compared with the national BVs (NBVs) using correlation coefficients. The highest correlations were achieved with high reliability bulls when all traits were included into the calculation (34 evaluated traits). The correlations of these bulls averaged 0.82, with an average standard deviation of 0.19. The lowest correlations were found when low reliability bulls were included and the genetic correlation matrix from the high reliability bulls was applied. That average correlation was 0.74 and standard deviation 0.25. When only 15 traits were evaluated in the model, the average correlation for all sets was 0.68 with standard deviation of 0.28. These results show that calculating the BV of a missing trait is possible using both methods. Method B was slightly more accurate in its prediction.
dcterms:title
Methods for calculating the breeding values of missing traits and their comparison Methods for calculating the breeding values of missing traits and their comparison
skos:prefLabel
Methods for calculating the breeding values of missing traits and their comparison Methods for calculating the breeding values of missing traits and their comparison
skos:notation
RIV/00027014:_____/14:#0002099!RIV15-MZE-00027014
n3:aktivita
n6:I n6:S
n3:aktivity
I, S
n3:cisloPeriodika
4
n3:dodaniDat
n9:2015
n3:domaciTvurceVysledku
n14:4707915 n14:5425468 n14:9744614
n3:druhVysledku
n4:J
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
28666
n3:idVysledku
RIV/00027014:_____/14:#0002099
n3:jazykVysledku
n18:eng
n3:klicovaSlova
breeding value, de-regression, genetic correlation, Holstein cattle, missing traits
n3:klicoveSlovo
n7:de-regression n7:Holstein%20cattle n7:breeding%20value n7:missing%20traits n7:genetic%20correlation
n3:kodStatuVydavatele
HR - Chorvatská republika
n3:kontrolniKodProRIV
[6185268F9150]
n3:nazevZdroje
Journal of Central European Agriculture
n3:obor
n15:GI
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n9:2014
n3:svazekPeriodika
15
n3:tvurceVysledku
Vostrý, Luboš Přibyl, Josef Stádník, Luděk Vacek, Mojmír Krpálková, Lenka
s:issn
1332-9049
s:numberOfPages
13
n12:doi
10.5513/JCEA01/15.4.1507