The aim of this study was to estimate genetic correlations between traits using breeding values and to propose a total merit index for bulls and cows of Czech Fleckvieh cattle on the basis of these correlation. Genetic correlation was estimated from de-regressed proofs. REML procedure was used for determining components of variance. The basic database included 785 breeding values of bulls of Czech Fleckvieh and 441 of Fleckvieh (German and Austrian population). Estimated genetic standard deviations were similar to the standard deviations of breeding values and they always had a higher value. The genetic correlations were similar to correlations of breeding values as well. The genetic correlations matrix showed that the relationships were mostly within particular groups of traits. There were correlations 0,79 - 0,93 among milk production traits and 0,41 - 0,59 among beef production traits. Estimated genetic correlations, breeding values correlations and economic weights set by Wolfová et al. (2007) were used for construction of selection index for Czech bulls. Milk production has 45 %, beef 24 %, exterior 16 % and fitness 15 % within this total merit index. The total monetary gain is divided as follows: 86,7 % for milk production, 5,13 % for beef traits and 8,08 % for fitness. Reliability of this total merit index is 0,86. The total merit index for cows has as the same composition as the index of bulls; the missing breeding values (fertility, calving ease and longevity) were computed using genetic correlations estimated for bulls. In conclusion, incorporation of new breeding values will increase the genetic level of fitness traits. Estimation of genomic breeding values for milk and fitness allows obtaining reliable breeding value earlier.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:249347 |
Date | January 2013 |
Creators | Kopec, Tomáš |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/doctoralThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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