Bivariate analysis for the improvement of genetic evaluations with incomplete records in Charolais cattle
Objective: Estimate (co)variance components and genetic parameters of live weight traits and examine the effect of selection culling when using bivariate analysis in registered Charolais beef cattle. Materials and methods: The effect of incomplete data over accuracies was compared, expected progeny...
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Veröffentlicht in: | Revista MVZ Córdoba 2021-05, Vol.26 (2), p.e2128 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Objective: Estimate (co)variance components and genetic parameters of live weight traits and examine the effect of selection culling when using bivariate analysis in registered Charolais beef cattle. Materials and methods: The effect of incomplete data over accuracies was compared, expected progeny differences (EPD) and standard errors of prediction (SEP) were obtained and evaluated by comparing univariate and bivariate models for birth (BW), weaning (WW) and yearling (YW) weights. Results: Bivariate models for WW and YW, improved accuracies of EPDs and reduced the SEPs. Joint analysis for BW and WW increased in a 38% the accuracies and reduced SEP estimators for YW (p |
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ISSN: | 0122-0268 1909-0544 |
DOI: | 10.21897/rmvz.2128 |