A qualidade do leite cru e a tipologia de sistemas produtivos leiteiros no município de Santa Izabel do Oeste - PR

• Ano de defesa: 2016
• Autor(a) principal: Defante, Leslié
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual de Maringá; Brasil; Programa de Pós-Graduação em Zootecnia; UEM; Maringá, PR; Centro de Ciências Agrárias
• Palavras-chave em Português: Leite; Análise multivariada; Estatística multivariada; Sistemas de produção; Heterogeneidade; Instrução normativa; Produção; Santa Izabel do Oeste; Paraná (Estado); Brasil.; Multivariate analysis; Heterogeneity; Normative instruction; Production; Paraná (State); Brazil.; Ciências Agrárias; Zootecnia
• Link de acesso: http://repositorio.uem.br:8080/jspui/handle/1/1502

The Paraná Dairy Production Systems (SPL), even though they are generally characterized by the production at pasture, are quite heterogeneous to a set of productive, technical, structural and social variables. Because of this heterogeneity, there are different typologies of SPL that confer several production results. Thus, the aim of this article was to define the type of Dairy Production System in the city of Santa Izabel do Oeste - PR. The specific objectives were to compare different groups of Production Systems Dairy (SPL) in the city of Santa Izabel do Oeste - PR, identify the type of Productive Dairy Systems that comply with the requirements laid down by IN n° 62/MAPA /2011 and compare them with SPL not conform to those rules. It starts with the hypothesis that the most striking differences between the analyzed SPL are of structural nature, land ownership and production, and SPL more productive structure have a higher possibility of adaptation to the requirements of IN n° 62/MAPA/2011. The analysis was made from the application of 128 semi-structured forms with the milk producers of the Municipality of Santa Isabel do Oestet-PR. Data were analyzed using Microsoft Office Excel 2010 and software Statistical Package for Social Science - SPSS version 18. It was conducted exploratory factor analysis (EFA) for a set of structural, productive, technical and social variables. Three factors were identified: F1 - productive; F2 - technical and structural F3 - Social. From these factors was used hierarchical cluster analysis. Three groups were formed; G1 (24.41% of SPL); G2 (71.65% of SPL) and G3 (3.94% of SPL). To define the typology, groups were plotted on graphs, with the axes the factors previously generated. It could be concluded that G1 is made up of traditional SPL in the form of production and extensive as the form of exploitation, with low use of productive techniques of production control and milk quality and present inability to negotiate your product with milk buyer; G2 is represented by SPL with less intensive milk production and without control of milk production aspects; thus probably they fail to have good negotiation with the buyer industry and G3 characterized as a group of high productive efficiency. With these results, h0 was accepted. Following, monthly values of SCC and TBC of the milk produced in 128 DPS between the years 2013-2015 were analyzed. From these and the values provided by IN n° 62/MAPA/2011 between the years 2014 and 2016 (SCC = 500,000 and TBC = 300,000) the DPS were segregated into two groups: G1 suitable for IN n° 62/MAPA/2011 (n=8) and G2 inappropriate for IN n° 62/MAPA/2011 (n=120). Then, based on the Factors defined in the previous analysis: F1 - production; F2 - technical and structural and F3 - social; the G1 "suitable" and G2 "inappropriate" were comparatively analyzed. To that end, we conducted mean test (independent samples - t test) between Groups and the three identified Factors. The typology indicated that the G1 (suitable for IN n° 62/MAPA/2011) had higher average values for F1 and F2 Factors and lower average values for the F3. It can be concluded that DPS appropriate to that legislation are those with larger structure, productive, higher production and productivity and adopting more intensely production control techniques. From these results, the hypothesis (h1) is accepted. Furthermore, DPS are managed by younger and producers that are less time in the dairy industry.