Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state

Detalhes bibliográficos
Autor(a) principal: Dias, Juliana Alves
Data de Publicação: 2020
Outros Autores: Pacheco, Ivanete Franceschini, Grego, Celia Regina, Faria, Guilherme Vieira, Cruz, Pedro Gomes
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/38089
Resumo: Bacterial count (SPC) and somatic cell count (SCC) are considered universal indicators of milk quality. The objective of this study was to identify SPC and SCC clusters in milk samples from three microregions of the state of Rondônia and to evaluate the influence of year period and tank type on these indicators. A total of 566 milk cooling tanks linked to dairy industries with the Federal Inspection Service located in the Ariquemes, Ji-Paraná and Porto Velho microregions were evaluated. The SPC and SCC results of the tank samples and the geographical coordinates were obtained from the dairy industry database; the study focused on the results of official analyses carried out by the Laboratories of Milk Quality accredited to the Ministry of Agriculture, Livestock and Food Supply (MAPA) in 2015, constituting a pool of 6,792 data subsets from 2,209 farmers. To elaborate the spatial distribution maps of the quality indicators, the ArcView 3.1® software was used. Spatial dependence was evaluated by geostatistics, using the ordinary kriging method for data interpolation. Variance analysis (ANOVA) was performed using the SAS 9.0 GLM procedure on the logarithmic transformation of SCC and SPC, using as variables the type of tank (individual and collective) and season (dry and rainy). The frequency of milk quality adjustments to the limits defined in the legislation has shown that SPC is a major challenge for the state’s production chain. There were no significant differences in this frequency for SCC and SPC, neither between the microregions studied, nor between the dry and rainy season (p > 0.05). The analysis of variance considered the period of year and type of cooling tank and showed higher SPC and SCC in the rainy season (p < 0.05); SCC and SPC were higher in collective tanks used by more than 5 farmers (p < 0.05). Spatial dependence was weak for SCC (DD = 22.02) and moderate for SPC (DD = 25.93), indicating the Machadinho do Oeste region as a priority area for mastitis control, and the Ariquemes microregion and west of the Porto Velho microregion as areas of high SPC. The results demonstrated the feasibility of spatial analysis as a tool for evaluating of refrigerated raw milk quality indicators and may support the definition of public and private strategies and policies to improve the milk quality and legislation adequacy.
id UEL-11_c0052d3d2711ce239b23737fef693b52
oai_identifier_str oai:ojs.pkp.sfu.ca:article/38089
network_acronym_str UEL-11
network_name_str Semina. Ciências Agrárias (Online)
repository_id_str
spelling Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia stateCaracterização espacial dos indicadores higiênico-sanitários do leite cru refrigerado de três microrregiões do estado de RondôniaBacterial countKrigingMilk qualitySomatic cell count.Contagem bacterianaContagem de células somáticasKrigagemQualidade do leite.Bacterial count (SPC) and somatic cell count (SCC) are considered universal indicators of milk quality. The objective of this study was to identify SPC and SCC clusters in milk samples from three microregions of the state of Rondônia and to evaluate the influence of year period and tank type on these indicators. A total of 566 milk cooling tanks linked to dairy industries with the Federal Inspection Service located in the Ariquemes, Ji-Paraná and Porto Velho microregions were evaluated. The SPC and SCC results of the tank samples and the geographical coordinates were obtained from the dairy industry database; the study focused on the results of official analyses carried out by the Laboratories of Milk Quality accredited to the Ministry of Agriculture, Livestock and Food Supply (MAPA) in 2015, constituting a pool of 6,792 data subsets from 2,209 farmers. To elaborate the spatial distribution maps of the quality indicators, the ArcView 3.1® software was used. Spatial dependence was evaluated by geostatistics, using the ordinary kriging method for data interpolation. Variance analysis (ANOVA) was performed using the SAS 9.0 GLM procedure on the logarithmic transformation of SCC and SPC, using as variables the type of tank (individual and collective) and season (dry and rainy). The frequency of milk quality adjustments to the limits defined in the legislation has shown that SPC is a major challenge for the state’s production chain. There were no significant differences in this frequency for SCC and SPC, neither between the microregions studied, nor between the dry and rainy season (p > 0.05). The analysis of variance considered the period of year and type of cooling tank and showed higher SPC and SCC in the rainy season (p < 0.05); SCC and SPC were higher in collective tanks used by more than 5 farmers (p < 0.05). Spatial dependence was weak for SCC (DD = 22.02) and moderate for SPC (DD = 25.93), indicating the Machadinho do Oeste region as a priority area for mastitis control, and the Ariquemes microregion and west of the Porto Velho microregion as areas of high SPC. The results demonstrated the feasibility of spatial analysis as a tool for evaluating of refrigerated raw milk quality indicators and may support the definition of public and private strategies and policies to improve the milk quality and legislation adequacy.A contagem bacteriana (CPP) e contagem de células somáticas (CCS) são considerados indicadores universais da qualidade do leite. O objetivo deste trabalho foi identificar clusters de CPP e CCS em amostras de leite cru resfriado de três microrregiões do estado de Rondônia e avaliar a influência do período do ano e tipo de tanque nestes indicadores. Foram avaliados 566 tanques de resfriamento de leite localizados nas microrregiões de Ariquemes, Ji-Paraná e Porto Velho, vinculados a indústrias lácteas com Serviço de Inspeção Federal (SIF). Os resultados de CPP e CCS das amostras de tanques e as coordenadas geográficas foram obtidas do banco de dados de indústrias lácteas e consideraram os resultados de análises oficiais realizadas em laboratórios credenciados ao Ministério da Agricultura, Pecuária e Abastecimento (MAPA), referentes ao período seco e chuvoso do ano de 2015. Para elaboração dos mapas de distribuição espacial dos indicadores de qualidade foi utilizado o programa ArcView 3.1®. A dependência espacial foi avaliada por meio da geoestatística, utilizando o método de Krigagem ordinária para interpolação dos dados. Para a análise de variância foi realizada a transformação logarítmica (logaritmo na base 10) dos resultados de CCS (log10CCS) e CPP (log10CPP). Para as variáveis, tipo de tanque (individual e coletivo) e período do ano (seco e chuvoso), foi utilizada análise de variância (ANOVA) pelo procedimento GLM do SAS 9.0. Foram avaliados 6.792 dados de análise e 2.209 produtores vinculados. A frequência de adequação dos indicadores de qualidade do leite aos limites definidos na legislação demonstrou que a CPP constitui um grande desafio para a cadeia produtiva do estado. Não foram observadas diferenças das frequências de adequação aos limites vigentes para CCS e CPP entre as microrregiões estudadas para o período seco e chuvoso (p>0,05). A análise de variância considerou o período do ano e tipo de tanque de resfriamento e demonstraram maiores CPP e CCS no período chuvoso (p<0,05). Considerando os tipos de tanque, a CCS e CPP foram mais elevadas nos tanques coletivos com mais de 5 produtores (p<0,05). Houve dependência espacial fraca para CCS (GD=22,02) e moderada para CPP (GD=25,93), indicando a região de Machadinho do Oeste como área prioritária para o controle da mastite, e a microrregião de Ariquemes e à oeste da microrregião de Porto Velho como áreas de alta CPP. Os resultados poderão subsidiar a definição de estratégias e de políticas públicas e privadas para melhoria da qualidade do leite do estado.UEL2020-08-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3808910.5433/1679-0359.2020v41n5supl1p2195Semina: Ciências Agrárias; Vol. 41 No. 5supl1 (2020); 2195-2208Semina: Ciências Agrárias; v. 41 n. 5supl1 (2020); 2195-22081679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/38089/27823Copyright (c) 2020 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessDias, Juliana AlvesPacheco, Ivanete FranceschiniGrego, Celia ReginaFaria, Guilherme VieiraCruz, Pedro Gomes2022-10-07T13:34:20Zoai:ojs.pkp.sfu.ca:article/38089Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-07T13:34:20Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
Caracterização espacial dos indicadores higiênico-sanitários do leite cru refrigerado de três microrregiões do estado de Rondônia
title Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
spellingShingle Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
Dias, Juliana Alves
Bacterial count
Kriging
Milk quality
Somatic cell count.
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite.
title_short Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
title_full Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
title_fullStr Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
title_full_unstemmed Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
title_sort Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state
author Dias, Juliana Alves
author_facet Dias, Juliana Alves
Pacheco, Ivanete Franceschini
Grego, Celia Regina
Faria, Guilherme Vieira
Cruz, Pedro Gomes
author_role author
author2 Pacheco, Ivanete Franceschini
Grego, Celia Regina
Faria, Guilherme Vieira
Cruz, Pedro Gomes
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Dias, Juliana Alves
Pacheco, Ivanete Franceschini
Grego, Celia Regina
Faria, Guilherme Vieira
Cruz, Pedro Gomes
dc.subject.por.fl_str_mv Bacterial count
Kriging
Milk quality
Somatic cell count.
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite.
topic Bacterial count
Kriging
Milk quality
Somatic cell count.
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite.
description Bacterial count (SPC) and somatic cell count (SCC) are considered universal indicators of milk quality. The objective of this study was to identify SPC and SCC clusters in milk samples from three microregions of the state of Rondônia and to evaluate the influence of year period and tank type on these indicators. A total of 566 milk cooling tanks linked to dairy industries with the Federal Inspection Service located in the Ariquemes, Ji-Paraná and Porto Velho microregions were evaluated. The SPC and SCC results of the tank samples and the geographical coordinates were obtained from the dairy industry database; the study focused on the results of official analyses carried out by the Laboratories of Milk Quality accredited to the Ministry of Agriculture, Livestock and Food Supply (MAPA) in 2015, constituting a pool of 6,792 data subsets from 2,209 farmers. To elaborate the spatial distribution maps of the quality indicators, the ArcView 3.1® software was used. Spatial dependence was evaluated by geostatistics, using the ordinary kriging method for data interpolation. Variance analysis (ANOVA) was performed using the SAS 9.0 GLM procedure on the logarithmic transformation of SCC and SPC, using as variables the type of tank (individual and collective) and season (dry and rainy). The frequency of milk quality adjustments to the limits defined in the legislation has shown that SPC is a major challenge for the state’s production chain. There were no significant differences in this frequency for SCC and SPC, neither between the microregions studied, nor between the dry and rainy season (p > 0.05). The analysis of variance considered the period of year and type of cooling tank and showed higher SPC and SCC in the rainy season (p < 0.05); SCC and SPC were higher in collective tanks used by more than 5 farmers (p < 0.05). Spatial dependence was weak for SCC (DD = 22.02) and moderate for SPC (DD = 25.93), indicating the Machadinho do Oeste region as a priority area for mastitis control, and the Ariquemes microregion and west of the Porto Velho microregion as areas of high SPC. The results demonstrated the feasibility of spatial analysis as a tool for evaluating of refrigerated raw milk quality indicators and may support the definition of public and private strategies and policies to improve the milk quality and legislation adequacy.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-07
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/38089
10.5433/1679-0359.2020v41n5supl1p2195
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/38089
identifier_str_mv 10.5433/1679-0359.2020v41n5supl1p2195
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/38089/27823
dc.rights.driver.fl_str_mv Copyright (c) 2020 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 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. 41 No. 5supl1 (2020); 2195-2208
Semina: Ciências Agrárias; v. 41 n. 5supl1 (2020); 2195-2208
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_ 1799306082243313664