Electrical conductivity and somatic cell count in zebu cow’s milk
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , |
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. |
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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 |