Bivariate analysis for the improvement of genetic evaluations with incomplete records in Charolais cattle

Autor:	Karlos Edmundo Orozco-Durán, José Herrera-Camacho, Gaspar Manuel Parra-Bracamonte, Jessica Beatriz Herrera-Ojeda, Nicolas Lopez-Villalobos
Rok vydání:	2021
Předmět:	lcsh:Veterinary medicine General Veterinary Incomplete records biology.animal_breed Statistics live weights lcsh:SF600-1100 Animal Science and Zoology culling selection Bivariate analysis Aquatic Science Biology Charolais cattle
Zdroj:	Revista MVZ Cordoba, Vol 26, Iss 2 (2021)
ISSN:	1909-0544 0122-0268
DOI:	10.21897/rmvz.2128
Popis:	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
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95db4d8d561b993a7871279f519ac3c4 https://doi.org/10.21897/rmvz.2128 Zobrazit plný text záznamu