Tipologia de sistemas de produção leiteiros baseado nas características produtivas e de manejo na Região Oeste do Paraná

Lange, Maichel Jhonattas; Zambom, Maximiliane Alavarse; Ramos, Carlos Eduardo Crispim de Oliveira; Castagnara, Deise Dalazen; Bánkuti, Ferenc Istvan; Neumann, Mikael; Brito, Marcel Moreira de; Tinini, Rodrigo Cesar dos Reis

doi:10.5433/1679-0359.2016v37n1p473

Cited by 7 publications

(7 citation statements)

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“…It indicates lower productivity in that region, when compared to the present research. Lange et al (2016) analyzed 735 DPS in the western portion of Paraná, showing an average of 15 cows in milk and 242 liters per day, which indicates a level of productivity similar to this research. Zimpel et al (2017) studied 55 DPS in the western part of the State, with an average area of 33 hectares and 37 cows in milk, indicating a higher level of productivity.…”

Section: Discussionmentioning

confidence: 74%

Structural features, labor conditions and family succession in dairy production systems in Paraná State, Brazil

et al. 2018

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-Brazil is the fourth largest milk producer in the world. Besides its economic relevance, milk production has an important social function in Brazil. Dairy activity employs a large amount of people and contributes to regional development. But some drawbacks remain, such as poor labor conditions and problems for family succession. Labor conditions may be critical for successors to decide whether to remain in dairy activity. Paraná is the second largest milk producer in Brazil, mainly with smallholder family dairy systems. This paper aims to discuss labor conditions, family succession and structural features in Paraná's dairy activity. Our hypothesis is that family-based farms present poorer structure, poorer labor conditions and are less prone to family succession. The method comprised face-to-face interviews with 153 dairy farmers, in two groups: 117 family-based farms (Group 1) and 36 hired-labor farms (Group 2). Common factor analysis led to identify three factors: "structure", "labor conditions" and "individual conditions to family succession". Dairy farms in Group 1 present poorer structural and labor conditions, although being more prone to family succession, partially supporting our above hypothesis. Thus, structural features and labor conditions seem not to be the driving factors for the intent to family succession, which suggests the existence of other incentives. Results also indicate the need to improve labor conditions, especially for Group 1, since poor labor conditions may threaten family succession in the very long run. Efforts to improve family labor conditions are necessary to ensure long-term sustainability of dairy farming in Paraná State. Further studies could investigate social, market, technology and political features directing decision-making in family succession. Expanding the variables for labor conditions and structure, as well as including other social and behavioral factors, could put more light on the differences between dairy farms using and not using hired labor. Finally, a deeper investigation on reasons why family-based farmers do not promote better labor conditions is critical for the future of Paraná's dairy sector.

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Section: Discussionmentioning

confidence: 74%

Structural features, labor conditions and family succession in dairy production systems in Paraná State, Brazil

et al. 2018

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“…Education has a positive correlation with variables that determine dairy farming success, including income (MEDINA et al, 2015). Thus, more educated farm operators tend to adopt milking hygiene practices, as they understand that hygiene influences milk quality and, consequently, financial returns (ECKSTEIN et al, 2016;LANGE et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…The questionnaire gathered information on structural, technological, and production parameters as well as on the level of institutional adequacy of dairy farms (BRITO et al, 2015a(BRITO et al, , 2015bLANGE et al, 2016;ZIMPEL et al, 2017a). Sociodemographic characteristics of farm operators were also analyzed (Table 1).…”

Section: Methodsmentioning

confidence: 99%

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A typology of corporate and family dairy farms in eastern Goiás, Brazil

et al. 2020

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This study aimed to identify a typology of corporate and family dairy farms in eastern Goiás, Brazil. A semi-structured questionnaire was administered to 170 farm operators in the municipalities of Cristalina, Luziânia, and Silvânia. Dairy farms were categorized into two groups, corporate and family farms. Data were analyzed by exploratory factor analysis using principal component analysis extraction. Four factors were identified: Milking management (F1), Production scale (F2), Productivity (F3), and Sociodemographic characteristics (F4). Corporate and family farms were then compared in terms of factor scores. Corporate farms scored higher on F1 and F2 and were characterized by larger production scale, greater adoption of milking management and hygiene practices; and consequently, greater alignment with institutional and market demands. These results indicated that corporate dairy farms in eastern Goiás have higher sustainability and are more likely to remain in business than family dairy farms.

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“…However, these studies were conducted only for the states of Minas Gerais (LEMOS et al, 2003) and Rio Grande do Sul OLIVEIRA, 2011;MARION FILHO et al, 2012, 2015 as well as for southern Brazil (FERNANDES et al, 2004) and Western Paraná (LANGE et al, 2016). In this context, the need for data that provide a more detailed characterization of the spatial distribution of the microregions specialized in milk production in Paraná State is clear.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of microregions specialized in milk production

Telles

Bacchi

Shimizu

2017

SCA

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The aim of this study was to verify and characterizes the spatial distribution of the microregions specialized in bovine milk production in Paraná State, Brazil, using data from the Municipal Livestock Survey conducted by the Brazilian Institute of Geography and Statistics and the Central Bank of Brazil's National Program to Strengthen Household Agriculture (PRONAF), from 2000 to 2012. Methodologically, we carry out location quotient (LQ), principal component, (PCA) and cluster analyses. Based on the results of the LQ, of the 39 microregions in Paraná State analyzed, 13 are identified as specializing in milk production. In particular, the West and Southwest mesoregions as well as the microregion of Ponta Grossa, in relative terms, account for 58% of the milk produced in the study period. Additionally, based on the PCA, 2 principal components are found to explain 91.5% of the variability in the data, termed technically enhanced production and household production. Finally, by using cluster analysis, five groups are identified among the microregions specializing in milk production, thus indicating marked heterogeneity across the state. This situation requires the expansion of public policies that mitigate regional disparities and provide the state with production gains from milk farming. Key words: Animal production. Bovine milk production. Regional development. Paraná State. Brazil ResumoO objetivo deste estudo foi verificar e caracterizar a distribuição espacial das microrregiões paranaenses especializadas na produção de leite bovino. Para tanto foram utilizados dados da Pesquisa Pecuária Municipal do Instituto Brasileiro de Geografia e Estatística e do Programa Nacional de Fortalecimento da Agricultura Familiar, do Banco Central do Brasil, referentes aos anos de 2000 a 2012. Foram realizadas análises do quociente locacional (QL), de componentes principais (ACP) e de agrupamentos. A partir dos resultados do QL foram identificadas 13 microrregiões paranaenses especializadas na produção de leite dentre as 39 existentes. Além disso, constatou-se que as mesorregiões oeste e sudoeste e a microrregião de Ponta Grossa, em termos relativos, responderam por 58% do valor bruto da produção do leite no período analisado. Ademais, a partir da ACP, foram identificados 2 componentes principais, suficientes para explicar 91,5% da variabilidade dos dados, sendo nominados de produção tecnificada e produção familiar. Entre as microrregiões especializadas na produção de leite, por meio da análise de agrupamentos, foram identificados 5 grupos, indicando uma acentuada heterogeneidade no estado. A conjuntura que se apresenta requer a formulação de políticas públicas que amenizem as disparidades regionais e que possam proporcionar ao estado ganhos de produção na atividade leiteira. Palavras-chave: Produção animal. Bovinocultura de leite. Desenvolvimento regional. Paraná. Brasil.

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Tipologia de sistemas de produção leiteiros baseado nas características produtivas e de manejo na Região Oeste do Paraná

Cited by 7 publications

References 3 publications

Structural features, labor conditions and family succession in dairy production systems in Paraná State, Brazil

Structural features, labor conditions and family succession in dairy production systems in Paraná State, Brazil

A typology of corporate and family dairy farms in eastern Goiás, Brazil

Spatial distribution of microregions specialized in milk production

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