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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Rondônia. |
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Data corrente: |
15/09/2020 |
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Data da última atualização: |
15/09/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DIAS, J. A.; PACHECO, I. F.; GREGO, C. R.; FARIA, G. V.; CRUZ, P. G. da. |
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Afiliação: |
JULIANA ALVES DIAS, CPAF-RO; IVANETE FRANCESCHINI PACHECO, UNIR; CELIA REGINA GREGO, CNPTIA; GUILHERME VIEIRA FARIA, CPAF-RO; PEDRO GOMES DA CRUZ, CPAF-RO. |
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Título: |
Spatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Semina: Ciências Agrárias, v. 41, n. 5, p. 2195-2208, 2020. |
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DOI: |
http://dx.doi.org/10.5433/1679-0359.2020v41n5supl1p2195 |
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Idioma: |
Inglês |
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Notas: |
Suplemento 1. |
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Conteúdo: |
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. MenosAbstract. 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... Mostrar Tudo |
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Palavras-Chave: |
Amazônia Ocidental; Bacterial count; Contagem bacteriana; Contagem de bactérias; Contagem de células somáticas; Krigagem; Leite cru resfriado; Qualidade do leite; Rondônia; Western Amazon. |
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Thesagro: |
Leite. |
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Thesaurus Nal: |
Kriging; Milk quality; Somatic cell count. |
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Categoria do assunto: |
--
Q Alimentos e Nutrição Humana |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216006/1/cpafro-18438.pdf
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Marc: |
LEADER 03496naa a2200361 a 4500
001 2124935
005 2020-09-15
008 2020 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.5433/1679-0359.2020v41n5supl1p2195$2DOI
100 1 $aDIAS, J. A.
245 $aSpatial characterization of hygienic-sanitary indicators of refrigerated raw milk from three microregions of the Rondônia state.$h[electronic resource]
260 $c2020
500 $aSuplemento 1.
520 $aAbstract. 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.
650 $aKriging
650 $aMilk quality
650 $aSomatic cell count
650 $aLeite
653 $aAmazônia Ocidental
653 $aBacterial count
653 $aContagem bacteriana
653 $aContagem de bactérias
653 $aContagem de células somáticas
653 $aKrigagem
653 $aLeite cru resfriado
653 $aQualidade do leite
653 $aRondônia
653 $aWestern Amazon
700 1 $aPACHECO, I. F.
700 1 $aGREGO, C. R.
700 1 $aFARIA, G. V.
700 1 $aCRUZ, P. G. da
773 $tSemina: Ciências Agrárias$gv. 41, n. 5, p. 2195-2208, 2020.
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Registro original: |
Embrapa Rondônia (CPAF-RO) |
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| Registros recuperados : 279 | |
| 41. |  | SPERANZA, E. A.; QUEIROS, L. R.; RABELLO, L. M.; GREGO, C. R.; BRANDÃO, Z. N. Armazenamento e recuperação de dados georreferenciados de condutividade elétrica do solo na Rede de Agricultura de Precisão da Embrapa. In: INAMASU, R. Y.; NAIME, J. de M.; RESENDE, Á. V. de; BASSOI, L. H.; BERNARDI, A. C. de C. (Ed.). Agricultura de precisão: um novo olhar. São Carlos, SP: Embrapa Instrumentação, 2011. p. 46-50.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Algodão; Embrapa Instrumentação; Embrapa Territorial. |
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| 44. | | CARVALHO, J. R. P. D.; VIEIRA, S. R.; GREGO, C. R. Comparação de métodos para ajuste de modelos de semivariograma da precipitação pluvial anual. Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 13, n. 4, p. 443-448, 2009. v. 13, n. 4,| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Territorial. |
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| 46. | | GREGO, C. R.; RODRIGUES, C. A. G.; TORRESAN, F. E.; VALLADARES, G. S. Caracterização física do solo sob pastagem em diferentes níveis de degradação no município de Guararapes, SP. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 18., 2010. Teresina, PI. Anais... Teresina, PI: Embrapa Meio Norte, 2010. 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| 47. | | RODRIGUES, G. C.; GREGO, C. R.; LUCHIARI JUNIOR, A.; SPERANZA, E. A. Caracterização espacial de indices de vegetação índice relativo de clorofila em áreas de produção cafés especiais no sul de Minas Gerais. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 10., 2019, Vitória, ES. Pesquisa, inovação e sustentabilidade dos cafés do Brasil. Brasília, DF: Embrapa Café, 2019. 6 p. Título em inglês: Spatial characterization of vegetation indexes and relative chlorophyll index in specialty coffee producing areas in the south of Minas Gerais. Na publicação: Ariovaldo Luchiari.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 50. | | LONG, R. M.; GREGO, C. R.; VICENTE, L. E.; FRANCESCHINI, M. H. D.; SATO, M. V. Análise geoestatística da granulometria do solo como suporte na montagem de biblioteca espectral em área de pastagem. In: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 7., 2013, Campinas, SP. Anais... Campinas: IAC, 2013. 8 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| 54. | | MANGABEIRA, J. A. de C.; TOSTO, S. G.; ROMEIRO, A. R.; GREGO, C. R. Análise espacial aplicada à valoração de serviços ecossistêmicos da agricultura: exemplo do café em Machadinho d'Oeste, RO. In: TOSTO, S. G.; BELARMINO, L. C.; ROMEIRO, A. R.; RODRIGUES, C. A. G. (Ed.). Valoração de serviços ecossistêmicos: metodologias e estudos de caso. Brasília, DF: Embrapa, 2015. p. 53-70.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Territorial. |
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| 58. | | ANDRADE, R. G.; VICENTE, L. E.; GREGO, C. R.; NOGUEIRA, S. F.; RODRIGUES, C. A. G. Análise espacial do índice de área foliar de pastagens utilizando Crop Circle e imagem WorldView-2. In: BERNARDI, A. C. de C.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; INAMASU, R. Y. (Ed.). Agricultura de precisão: resultados de um novo olhar. São Carlos: Embrapa Instrumentação, 2014. p. 500-506.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 279 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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