Electrical conductivity and somatic cell count in zebu cow’s milk

Detalhes bibliográficos
Autor(a) principal: Moura, Emmanuella de Oliveira
Data de Publicação: 2017
Outros Autores: Rangel, Adriano Henrique do Nascimento, Borba, Luis Henrique Fernandes, Galvão Júnior, José Geraldo Bezerra, Lima, Guilherme Ferreira da Costa, Lima Júnior, Dorgival Morais de, Difante, Gelson dos Santos, Urbano, Stela Antas, Aguiar, Emerson Moreira de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/27414
Resumo: The objective was to evaluate the physico-chemical composition, somatic cell count and electrical conductivity of the milk from lactating Zebu cows. For this, monthly milk samples were collected on the official milk control day intended for analysis of electrical conductivity of milk (ECM), somatic cell count (SCC) and milk composition. We used monthly data from 680 controls, from 10 Gyr and 17 Guzerat cows from a herd located in the city of São Gonçalo do Amarante/RN, from August to November 2013. Analyses of variance, mean test and Pearson correlation analysis were conducted. The levels of fat (% F), protein (% P), lactose (% L), total solids (% TS) and non-fat dry extract (% NFDE) were dependent variables for the ECM and SCC. The milk of Gyr cows for ECM, SCC, GOR, PROT, LACT, TS and NFDE were respectively, 3.88±1.18 mS/cm, 1629±2195 thousands cells/mL, 4.71±1.77%, 3.29±0.31%, 4.5±0.33%, 13.5±1.78%, 8.79±0.37%, and for the Guzerat breed 3.59±0.88 mS/cm 1356±1793 thousands cells/mL, 4.47±0.98%, 3.43±0.32%, 4.52±0.24%, 13.5±1.19%, 9.02±0.48%. No significant correlations between SCC and ECM characteristics were observed. However, when the correlation of each of these parameters and milk composition in different classes for each breed was analyzed, a significant correlation of the SCC was observed with the protein and lactose in Gyr, of the ECM with the lactose and SCC with total solids and fat for the Guzerat cows.
id UEL-11_f541a355c462edd394ce429fd0e75329
oai_identifier_str oai:ojs.pkp.sfu.ca:article/27414
network_acronym_str UEL-11
network_name_str Semina. Ciências Agrárias (Online)
repository_id_str
spelling Electrical conductivity and somatic cell count in zebu cow’s milkCondutividade elétrica e contagem de células somáticas do leite de vacas zebuínasCompositionMastitisMilk production.ComposiçãoMastiteProdução de leite.The objective was to evaluate the physico-chemical composition, somatic cell count and electrical conductivity of the milk from lactating Zebu cows. For this, monthly milk samples were collected on the official milk control day intended for analysis of electrical conductivity of milk (ECM), somatic cell count (SCC) and milk composition. We used monthly data from 680 controls, from 10 Gyr and 17 Guzerat cows from a herd located in the city of São Gonçalo do Amarante/RN, from August to November 2013. Analyses of variance, mean test and Pearson correlation analysis were conducted. The levels of fat (% F), protein (% P), lactose (% L), total solids (% TS) and non-fat dry extract (% NFDE) were dependent variables for the ECM and SCC. The milk of Gyr cows for ECM, SCC, GOR, PROT, LACT, TS and NFDE were respectively, 3.88±1.18 mS/cm, 1629±2195 thousands cells/mL, 4.71±1.77%, 3.29±0.31%, 4.5±0.33%, 13.5±1.78%, 8.79±0.37%, and for the Guzerat breed 3.59±0.88 mS/cm 1356±1793 thousands cells/mL, 4.47±0.98%, 3.43±0.32%, 4.52±0.24%, 13.5±1.19%, 9.02±0.48%. No significant correlations between SCC and ECM characteristics were observed. However, when the correlation of each of these parameters and milk composition in different classes for each breed was analyzed, a significant correlation of the SCC was observed with the protein and lactose in Gyr, of the ECM with the lactose and SCC with total solids and fat for the Guzerat cows.O objetivo foi avaliar a composição físico-química, contagem de células somáticas e condutividade elétrica do leite de fêmeas zebuínas. Para isto, foram coletadas amostras mensais de leite no dia do controle leiteiro oficial, sendo elas destinadas às análises de Condutividade Elétrica do Leite (CEL), contagem de células somáticas (CCS) e composição do leite. Foram utilizados 680 dados de controles mensais, provenientes de 10 vacas da raça Gir e 17 da raça Guzerá, pertencentes a um rebanho localizado na cidade de São Gonçalo do Amarante/RN, no período de agosto a novembro de 2013. Realizou-se análise de variância, teste de média e análise de correlação de Pearson. Como variáveis dependentes a CEL e CCS, estavam os teores de gordura (%G), proteína (%P), lactose (%L), sólidos totais (%ST) e extrato seco desengordurado (%ESD). Ao serem analisadas médias da raça Gir para CEL, CCS, GOR, PROT, LACT, ST e ESD foram, respectivamente, 3,88±1,18 mS/cm, 1629±2195 mil cels./mL, 4,71±1,77%, 3,29±0,31%, 4,5±0,33%, 13,5±1,78%, 8,79±0,37%, e para a raça Guzerá, 3,59±0,88 mS/cm 1356±1793 mil cels./mL, 4,47±0,98%, 3,43±0,32%, 4,52±0,24%, 13,49±1,19%, 9,02±0,48%. Não foram verificadas correlações significativas entre as características CCS e CEL. Porém, quando feito a correlação de cada um destes parâmetros com a composição do leite em diferentes classes para cada raça, foi observado, correlação significativa da CCS com a proteína e lactose na raça Gir, da CEL com a lactose e CCS com gordura e sólidos totais para os animais da raça Guzerá.UEL2017-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2741410.5433/1679-0359.2017v38n5p3231Semina: Ciências Agrárias; Vol. 38 No. 5 (2017); 3231-3240Semina: Ciências Agrárias; v. 38 n. 5 (2017); 3231-32401679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/27414/21825Copyright (c) 2017 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMoura, Emmanuella de OliveiraRangel, Adriano Henrique do NascimentoBorba, Luis Henrique FernandesGalvão Júnior, José Geraldo BezerraLima, Guilherme Ferreira da CostaLima Júnior, Dorgival Morais deDifante, Gelson dos SantosUrbano, Stela AntasAguiar, Emerson Moreira de2022-10-21T14:27:26Zoai:ojs.pkp.sfu.ca:article/27414Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-21T14:27:26Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Electrical conductivity and somatic cell count in zebu cow’s milk
Condutividade elétrica e contagem de células somáticas do leite de vacas zebuínas
title Electrical conductivity and somatic cell count in zebu cow’s milk
spellingShingle Electrical conductivity and somatic cell count in zebu cow’s milk
Moura, Emmanuella de Oliveira
Composition
Mastitis
Milk production.
Composição
Mastite
Produção de leite.
title_short Electrical conductivity and somatic cell count in zebu cow’s milk
title_full Electrical conductivity and somatic cell count in zebu cow’s milk
title_fullStr Electrical conductivity and somatic cell count in zebu cow’s milk
title_full_unstemmed Electrical conductivity and somatic cell count in zebu cow’s milk
title_sort Electrical conductivity and somatic cell count in zebu cow’s milk
author Moura, Emmanuella de Oliveira
author_facet Moura, Emmanuella de Oliveira
Rangel, Adriano Henrique do Nascimento
Borba, Luis Henrique Fernandes
Galvão Júnior, José Geraldo Bezerra
Lima, Guilherme Ferreira da Costa
Lima Júnior, Dorgival Morais de
Difante, Gelson dos Santos
Urbano, Stela Antas
Aguiar, Emerson Moreira de
author_role author
author2 Rangel, Adriano Henrique do Nascimento
Borba, Luis Henrique Fernandes
Galvão Júnior, José Geraldo Bezerra
Lima, Guilherme Ferreira da Costa
Lima Júnior, Dorgival Morais de
Difante, Gelson dos Santos
Urbano, Stela Antas
Aguiar, Emerson Moreira de
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Moura, Emmanuella de Oliveira
Rangel, Adriano Henrique do Nascimento
Borba, Luis Henrique Fernandes
Galvão Júnior, José Geraldo Bezerra
Lima, Guilherme Ferreira da Costa
Lima Júnior, Dorgival Morais de
Difante, Gelson dos Santos
Urbano, Stela Antas
Aguiar, Emerson Moreira de
dc.subject.por.fl_str_mv Composition
Mastitis
Milk production.
Composição
Mastite
Produção de leite.
topic Composition
Mastitis
Milk production.
Composição
Mastite
Produção de leite.
description The objective was to evaluate the physico-chemical composition, somatic cell count and electrical conductivity of the milk from lactating Zebu cows. For this, monthly milk samples were collected on the official milk control day intended for analysis of electrical conductivity of milk (ECM), somatic cell count (SCC) and milk composition. We used monthly data from 680 controls, from 10 Gyr and 17 Guzerat cows from a herd located in the city of São Gonçalo do Amarante/RN, from August to November 2013. Analyses of variance, mean test and Pearson correlation analysis were conducted. The levels of fat (% F), protein (% P), lactose (% L), total solids (% TS) and non-fat dry extract (% NFDE) were dependent variables for the ECM and SCC. The milk of Gyr cows for ECM, SCC, GOR, PROT, LACT, TS and NFDE were respectively, 3.88±1.18 mS/cm, 1629±2195 thousands cells/mL, 4.71±1.77%, 3.29±0.31%, 4.5±0.33%, 13.5±1.78%, 8.79±0.37%, and for the Guzerat breed 3.59±0.88 mS/cm 1356±1793 thousands cells/mL, 4.47±0.98%, 3.43±0.32%, 4.52±0.24%, 13.5±1.19%, 9.02±0.48%. No significant correlations between SCC and ECM characteristics were observed. However, when the correlation of each of these parameters and milk composition in different classes for each breed was analyzed, a significant correlation of the SCC was observed with the protein and lactose in Gyr, of the ECM with the lactose and SCC with total solids and fat for the Guzerat cows.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/27414
10.5433/1679-0359.2017v38n5p3231
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/27414
identifier_str_mv 10.5433/1679-0359.2017v38n5p3231
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/27414/21825
dc.rights.driver.fl_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 38 No. 5 (2017); 3231-3240
Semina: Ciências Agrárias; v. 38 n. 5 (2017); 3231-3240
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
_version_ 1799306076983656448