Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: CALGARO,Júlia Laize Bandeira
Data de Publicação: 2020
Outros Autores: FIORESI,Júnior, VELHO,João Pedro, STROEHER,Fernanda Hammes, ALESSIO,Dileta Regina Moro, PIUCO,Marcos André, WEBER,Carol Thaís, HAYGERT-VELHO,Ione Maria Pereira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Saúde e Produção Animal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-99402020000100807
Resumo: ABSTRACT The aim of the present study was to monitor cow milk quality and composition in two farms in the Noroeste Rio-grandense mesoregion, located in the municipalities of Palmeira das Missões and Pinhal - RS. Both herds were mixed, with animals of the Holstein (70%) and Jersey (30%) breeds. The following overall parameters were evaluated: body condition score (BCS), udder dirtiness, and calving order, and the following milk composition factors were measured: total dry extract (TDE), defatted dry extract (DDE), milk lactose, fat, and protein contents, casein, milk urea nitrogen (MUN), and somatic cell count (SCC). Multivariate statistical analysis was performed, and four factors were identified representing combinations of the measured variables. The first factor comprised negative relationships between milk production and cow breed, milk fat content, and milk protein content. The second factor comprised the positive relationships between lactation days and body condition score and milk protein content. The third factor represented the negative relationships between milk lactose content and SCC score, calving order, and BCS. The fourth factor was composed of the positive relationship between delivery order and udder dirtiness. Cluster analysis revealed that individual cows could be categorized into three groups. Monitoring the breed, calving order, body condition score, lactation days, milk production, fat, protein, and lactose contents, somatic cell counts, and udder dirtiness in cows allows greater control of the herd, allowing potential shortcomings to be rectified quickly and economic losses to production to be minimized.
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spelling Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do SulBody condition scorefatlactoseproteinsomatic cell countABSTRACT The aim of the present study was to monitor cow milk quality and composition in two farms in the Noroeste Rio-grandense mesoregion, located in the municipalities of Palmeira das Missões and Pinhal - RS. Both herds were mixed, with animals of the Holstein (70%) and Jersey (30%) breeds. The following overall parameters were evaluated: body condition score (BCS), udder dirtiness, and calving order, and the following milk composition factors were measured: total dry extract (TDE), defatted dry extract (DDE), milk lactose, fat, and protein contents, casein, milk urea nitrogen (MUN), and somatic cell count (SCC). Multivariate statistical analysis was performed, and four factors were identified representing combinations of the measured variables. The first factor comprised negative relationships between milk production and cow breed, milk fat content, and milk protein content. The second factor comprised the positive relationships between lactation days and body condition score and milk protein content. The third factor represented the negative relationships between milk lactose content and SCC score, calving order, and BCS. The fourth factor was composed of the positive relationship between delivery order and udder dirtiness. Cluster analysis revealed that individual cows could be categorized into three groups. Monitoring the breed, calving order, body condition score, lactation days, milk production, fat, protein, and lactose contents, somatic cell counts, and udder dirtiness in cows allows greater control of the herd, allowing potential shortcomings to be rectified quickly and economic losses to production to be minimized.UFBA - Universidade Federal da Bahia2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-99402020000100807Revista Brasileira de Saúde e Produção Animal v.21 2020reponame:Revista Brasileira de Saúde e Produção Animalinstname:Universidade Federal da Bahia (UFBA)instacron:UFBA10.1590/s1519-99402121212020info:eu-repo/semantics/openAccessCALGARO,Júlia Laize BandeiraFIORESI,JúniorVELHO,João PedroSTROEHER,Fernanda HammesALESSIO,Dileta Regina MoroPIUCO,Marcos AndréWEBER,Carol ThaísHAYGERT-VELHO,Ione Maria Pereiraeng2020-09-11T00:00:00Zoai:scielo:S1519-99402020000100807Revistahttp://www.rbspa.ufba.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||rbspa@ufba.br1519-99401519-9940opendoar:2020-09-11T00:00Revista Brasileira de Saúde e Produção Animal - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
title Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
spellingShingle Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
CALGARO,Júlia Laize Bandeira
Body condition score
fat
lactose
protein
somatic cell count
title_short Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
title_full Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
title_fullStr Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
title_full_unstemmed Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
title_sort Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
author CALGARO,Júlia Laize Bandeira
author_facet CALGARO,Júlia Laize Bandeira
FIORESI,Júnior
VELHO,João Pedro
STROEHER,Fernanda Hammes
ALESSIO,Dileta Regina Moro
PIUCO,Marcos André
WEBER,Carol Thaís
HAYGERT-VELHO,Ione Maria Pereira
author_role author
author2 FIORESI,Júnior
VELHO,João Pedro
STROEHER,Fernanda Hammes
ALESSIO,Dileta Regina Moro
PIUCO,Marcos André
WEBER,Carol Thaís
HAYGERT-VELHO,Ione Maria Pereira
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv CALGARO,Júlia Laize Bandeira
FIORESI,Júnior
VELHO,João Pedro
STROEHER,Fernanda Hammes
ALESSIO,Dileta Regina Moro
PIUCO,Marcos André
WEBER,Carol Thaís
HAYGERT-VELHO,Ione Maria Pereira
dc.subject.por.fl_str_mv Body condition score
fat
lactose
protein
somatic cell count
topic Body condition score
fat
lactose
protein
somatic cell count
description ABSTRACT The aim of the present study was to monitor cow milk quality and composition in two farms in the Noroeste Rio-grandense mesoregion, located in the municipalities of Palmeira das Missões and Pinhal - RS. Both herds were mixed, with animals of the Holstein (70%) and Jersey (30%) breeds. The following overall parameters were evaluated: body condition score (BCS), udder dirtiness, and calving order, and the following milk composition factors were measured: total dry extract (TDE), defatted dry extract (DDE), milk lactose, fat, and protein contents, casein, milk urea nitrogen (MUN), and somatic cell count (SCC). Multivariate statistical analysis was performed, and four factors were identified representing combinations of the measured variables. The first factor comprised negative relationships between milk production and cow breed, milk fat content, and milk protein content. The second factor comprised the positive relationships between lactation days and body condition score and milk protein content. The third factor represented the negative relationships between milk lactose content and SCC score, calving order, and BCS. The fourth factor was composed of the positive relationship between delivery order and udder dirtiness. Cluster analysis revealed that individual cows could be categorized into three groups. Monitoring the breed, calving order, body condition score, lactation days, milk production, fat, protein, and lactose contents, somatic cell counts, and udder dirtiness in cows allows greater control of the herd, allowing potential shortcomings to be rectified quickly and economic losses to production to be minimized.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-99402020000100807
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s1519-99402121212020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv UFBA - Universidade Federal da Bahia
publisher.none.fl_str_mv UFBA - Universidade Federal da Bahia
dc.source.none.fl_str_mv Revista Brasileira de Saúde e Produção Animal v.21 2020
reponame:Revista Brasileira de Saúde e Produção Animal
instname:Universidade Federal da Bahia (UFBA)
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instname_str Universidade Federal da Bahia (UFBA)
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institution UFBA
reponame_str Revista Brasileira de Saúde e Produção Animal
collection Revista Brasileira de Saúde e Produção Animal
repository.name.fl_str_mv Revista Brasileira de Saúde e Produção Animal - Universidade Federal da Bahia (UFBA)
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