Bivariate analysis to improve genetic evaluations with incomplete databases in Charolais cattle

Simple item page
dc.citation.issue2
dc.citation.volume26
dc.contributor.authorHerrera-Ojeda J
dc.contributor.authorParra-Bracamonte GM
dc.contributor.authorLopez-Villalobos N
dc.contributor.authorHerrera-Camacho J
dc.contributor.authorOrozco-Durán KE
dc.date.accessioned2024-01-16T01:37:35Z
dc.date.accessioned2024-07-25T06:37:28Z
dc.date.available2024-01-16T01:37:35Z
dc.date.available2024-07-25T06:37:28Z
dc.date.issued2021-03-17
dc.description.abstractObjective: 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 (p̌0.001). Accuracies of EPD for BW obtained from univariate models were improved when BW was included in bivariate models. Conclusions: The results support the use of bivariate genetic analysis in limited or incomplete live weight indicators databases that were registered after birth, such as weaning and yearling weight.
dc.format.pagination01-08
dc.identifier.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000654711100014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationHerrera-Ojeda J, Parra-Bracamonte GM, López-Villalobos N, Herrera-Camacho J, Orozco-Durán KE. (2021). Bivariate analysis for the improvement of genetic evaluations with incomplete records in Charolais cattle. Revista MVZ Cordoba. 26. 2. (pp. 01-08).
dc.identifier.doi10.21897/rmvz.2128
dc.identifier.eissn1909-0544
dc.identifier.elements-typejournal-article
dc.identifier.issn0122-0268
dc.identifier.numberARTN e2128
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70565
dc.publisherUniversidad de Cordoba
dc.relation.isPartOfRevista MVZ Cordoba
dc.rights(c) 2021 The Author/s
dc.rightsCC BY-NC-SA 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectIncomplete records
dc.subjectlive weights
dc.subjectculling selection (Sources: USDA, Tesauro ICYT de Biologia Animal)
dc.titleBivariate analysis to improve genetic evaluations with incomplete databases in Charolais cattle
dc.typeJournal article
pubs.elements-id443383
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Published version
Size:
374.27 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Journal Articles