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

Abstract. 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.

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Main Authors: DIAS, J. A., PACHECO, I. F., GREGO, C. R., FARIA, G. V., CRUZ, P. G. da
Other Authors: JULIANA ALVES DIAS, CPAF-RO; IVANETE FRANCESCHINI PACHECO, UNIR; CELIA REGINA GREGO, CNPTIA; GUILHERME VIEIRA FARIA, CPAF-RO; PEDRO GOMES DA CRUZ, CPAF-RO.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2020-09-15
Subjects:Contagem de bactérias, Contagem bacteriana, Contagem de células somáticas, Krigagem, Qualidade do leite, Leite cru resfriado, Bacterial count, Rondônia, Amazônia Ocidental, Western Amazon, Leite, Kriging, Milk quality, Somatic cell count,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124935
http://dx.doi.org/10.5433/1679-0359.2020v41n5supl1p2195
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spelling dig-alice-doc-11249352020-09-16T04:44:31Z Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state. DIAS, J. A. PACHECO, I. F. GREGO, C. R. FARIA, G. V. CRUZ, P. G. da JULIANA ALVES DIAS, CPAF-RO; IVANETE FRANCESCHINI PACHECO, UNIR; CELIA REGINA GREGO, CNPTIA; GUILHERME VIEIRA FARIA, CPAF-RO; PEDRO GOMES DA CRUZ, CPAF-RO. Contagem de bactérias Contagem bacteriana Contagem de células somáticas Krigagem Qualidade do leite Leite cru resfriado Bacterial count Rondônia Amazônia Ocidental Western Amazon Leite Kriging Milk quality Somatic cell count Abstract. 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. Suplemento 1. 2020-09-16T04:44:23Z 2020-09-16T04:44:23Z 2020-09-15 2020 Artigo de periódico Semina: Ciências Agrárias, v. 41, n. 5, p. 2195-2208, 2020. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124935 http://dx.doi.org/10.5433/1679-0359.2020v41n5supl1p2195 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Contagem de bactérias
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite
Leite cru resfriado
Bacterial count
Rondônia
Amazônia Ocidental
Western Amazon
Leite
Kriging
Milk quality
Somatic cell count
Contagem de bactérias
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite
Leite cru resfriado
Bacterial count
Rondônia
Amazônia Ocidental
Western Amazon
Leite
Kriging
Milk quality
Somatic cell count
spellingShingle Contagem de bactérias
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite
Leite cru resfriado
Bacterial count
Rondônia
Amazônia Ocidental
Western Amazon
Leite
Kriging
Milk quality
Somatic cell count
Contagem de bactérias
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite
Leite cru resfriado
Bacterial count
Rondônia
Amazônia Ocidental
Western Amazon
Leite
Kriging
Milk quality
Somatic cell count
DIAS, J. A.
PACHECO, I. F.
GREGO, C. R.
FARIA, G. V.
CRUZ, P. G. da
Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state.
description Abstract. 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.
author2 JULIANA ALVES DIAS, CPAF-RO; IVANETE FRANCESCHINI PACHECO, UNIR; CELIA REGINA GREGO, CNPTIA; GUILHERME VIEIRA FARIA, CPAF-RO; PEDRO GOMES DA CRUZ, CPAF-RO.
author_facet JULIANA ALVES DIAS, CPAF-RO; IVANETE FRANCESCHINI PACHECO, UNIR; CELIA REGINA GREGO, CNPTIA; GUILHERME VIEIRA FARIA, CPAF-RO; PEDRO GOMES DA CRUZ, CPAF-RO.
DIAS, J. A.
PACHECO, I. F.
GREGO, C. R.
FARIA, G. V.
CRUZ, P. G. da
format Artigo de periódico
topic_facet Contagem de bactérias
Contagem bacteriana
Contagem de células somáticas
Krigagem
Qualidade do leite
Leite cru resfriado
Bacterial count
Rondônia
Amazônia Ocidental
Western Amazon
Leite
Kriging
Milk quality
Somatic cell count
author DIAS, J. A.
PACHECO, I. F.
GREGO, C. R.
FARIA, G. V.
CRUZ, P. G. da
author_sort DIAS, J. A.
title Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state.
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.
publishDate 2020-09-15
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124935
http://dx.doi.org/10.5433/1679-0359.2020v41n5supl1p2195
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