Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle

Bibliographic Details
Main Author: Cruz,Diego Augusto Campos da
Publication Date: 2016
Other Authors: Savegnago,Rodrigo Pelicioni, Santana,Annaíza Braga Bignardi, Peixoto,Maria Gabriela Campolina Diniz, Bruneli,Frank Angelo Tomita, Faro,Lenira El
Format: Article
Language: eng
Source: Ciência Rural
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000701281
Summary: ABSTRACT: The aim of this study was to explore the pattern of genetic lactation curves of Guzerá cattle using cluster analysis. Test-day milk yields of 5,274 first-lactation Guzerá cows were recorded in a progeny test. A total of 34,193 monthly records were analyzed with a random regression animal model using Legendre polynomials to fit additive genetic and permanent environmental random effects and mean trends. Hierarchical and non-hierarchical cluster analyses were performed based on the EBVs for monthly test-day milk yield, peak yield, lactation persistency, and partial cumulative and 305-day yields. The heritability estimates for test-day milk yields ranged from 0.24 to 0.52. Cluster analysis identified animals in the population that belong to different groups according to milk production level and lactation persistency.
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spelling Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattlebreeding valueslactation curverandom regressionABSTRACT: The aim of this study was to explore the pattern of genetic lactation curves of Guzerá cattle using cluster analysis. Test-day milk yields of 5,274 first-lactation Guzerá cows were recorded in a progeny test. A total of 34,193 monthly records were analyzed with a random regression animal model using Legendre polynomials to fit additive genetic and permanent environmental random effects and mean trends. Hierarchical and non-hierarchical cluster analyses were performed based on the EBVs for monthly test-day milk yield, peak yield, lactation persistency, and partial cumulative and 305-day yields. The heritability estimates for test-day milk yields ranged from 0.24 to 0.52. Cluster analysis identified animals in the population that belong to different groups according to milk production level and lactation persistency.Universidade Federal de Santa Maria2016-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000701281Ciência Rural v.46 n.7 2016reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20150418info:eu-repo/semantics/openAccessCruz,Diego Augusto Campos daSavegnago,Rodrigo PelicioniSantana,Annaíza Braga BignardiPeixoto,Maria Gabriela Campolina DinizBruneli,Frank Angelo TomitaFaro,Lenira Eleng2016-05-03T00:00:00ZRevista
dc.title.none.fl_str_mv Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
title Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
spellingShingle Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
Cruz,Diego Augusto Campos da
breeding values
lactation curve
random regression
title_short Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
title_full Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
title_fullStr Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
title_full_unstemmed Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
title_sort Cluster analysis of breeding values for milk yield and lactation persistency in Guzerá cattle
author Cruz,Diego Augusto Campos da
author_facet Cruz,Diego Augusto Campos da
Savegnago,Rodrigo Pelicioni
Santana,Annaíza Braga Bignardi
Peixoto,Maria Gabriela Campolina Diniz
Bruneli,Frank Angelo Tomita
Faro,Lenira El
author_role author
author2 Savegnago,Rodrigo Pelicioni
Santana,Annaíza Braga Bignardi
Peixoto,Maria Gabriela Campolina Diniz
Bruneli,Frank Angelo Tomita
Faro,Lenira El
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cruz,Diego Augusto Campos da
Savegnago,Rodrigo Pelicioni
Santana,Annaíza Braga Bignardi
Peixoto,Maria Gabriela Campolina Diniz
Bruneli,Frank Angelo Tomita
Faro,Lenira El
dc.subject.por.fl_str_mv breeding values
lactation curve
random regression
topic breeding values
lactation curve
random regression
description ABSTRACT: The aim of this study was to explore the pattern of genetic lactation curves of Guzerá cattle using cluster analysis. Test-day milk yields of 5,274 first-lactation Guzerá cows were recorded in a progeny test. A total of 34,193 monthly records were analyzed with a random regression animal model using Legendre polynomials to fit additive genetic and permanent environmental random effects and mean trends. Hierarchical and non-hierarchical cluster analyses were performed based on the EBVs for monthly test-day milk yield, peak yield, lactation persistency, and partial cumulative and 305-day yields. The heritability estimates for test-day milk yields ranged from 0.24 to 0.52. Cluster analysis identified animals in the population that belong to different groups according to milk production level and lactation persistency.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000701281
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000701281
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20150418
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.46 n.7 2016
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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