Production and composition of milk per Holstein and Jersey cow from two farms in northwest Rio Grande do Sul
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-99402020000100807 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-99402020000100807 |
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 |
dc.format.none.fl_str_mv |
text/html |
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) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
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) |
repository.mail.fl_str_mv |
||rbspa@ufba.br |
_version_ |
1750297508761829376 |