ABSTRACT We sought to develop a typology describing structural, production, and socioeconomic characteristics of dairy systems that produce artisanal cheese and compare it with that of systems that produce only raw milk. Data on 204 raw milk producers and 58 artisanal cheese producers in Paraná State, Brazil, were collected through on-site surveys and subjected to descriptive analysis, factor analysis, and means tests. Descriptive analyses were applied to characterize the sample and artisanal cheese production processes. Factor analysis identified the following three typological components: system production capacity, herd breed and milking characteristics, and farmer social characteristics. Farmers were divided into two groups, as follows: non-cheese producers (NCP) and artisanal cheese producers (ACP). Groups of farmers were compared in terms of typological components. It was found that ACP have smaller structure and production scale and focus less on herd breed and practices for improving milk quality than NCP. These results suggest that artisanal cheese production is a strategy to add value to milk that does not meet institutional or market requirements for transactions with the dairy industry, providing a foothold for producers to remain in the dairy business. Groups of farmers (ACP and NCP) do not differ in social indicators of typology. structural 20 5 State Brazil onsite site tests processes components capacity groups follows noncheese non NCP (NCP ACP. . (ACP) industry business 2

Resumo O objetivo deste estudo foi caracterizar os partos com leve ou severa dificuldade e diferenciá-los com base no desempenho produtivo e reprodutivo de vacas leiteiras. Os partos foram agrupados em partos sem assistência, partos com baixa assistência e partos com elevada assistência. O banco de dados original continha 1902 registro de partos que foram obtidos de uma grande fazenda comercial localizada no Sudeste do Brasil. A análise fatorial foi aplicada através do programa estatístico SAS® Studio 3.8 por meio de procedimento fatorial, considerando a categoria de análise multivariada. Os teores de gordura do leite (0,92– 0,79) e de sólidos totais (0,91–0,80) foram altamente correlacionados com o fator 1. Intervalo entre partos (0,87–0,68) e número de IA (inseminações artificiais) por concepção (0,87–0,71) apresentaram alta correlação com o fator 2. Produção de leite (0,84–0,76) e produção acumulada de leite (0,84–0,77) foram altamente correlacionados com o fator 3. Baseados nos resultados, é possível concluir que as três situações de parto foram caracterizadas por fatores independentes e bem definidos. Vacas que necessitaram de alta assistência ao parto apresentaram menor variância explicada pelo modelo para teores de gordura e sólidos totais do leite, intervalo entre partos e número de IA por concepção.

Abstract The objective of this study was to characterize calvings with low and high difficulty based on the productive and reproductive performance of dairy cows. Calvings were grouped in no calving assistance, calving with low assistance, and calving with high assistance. The original data set comprised 1,902 calving records obtained from a large dairy farm in Southeast Brazil. Factor analysis was applied using the SAS® Studio 3.8 statistical program through the factor procedure, considering the Multivariate Analysis category. Milk fat (0.92–0.79) and total solids (0.91–0.80) were strongly correlated with Factor 1. Calving interval (0.87– 0.68) and the number of AI (artificial inseminations) per conception (0.87–0.71) showed high correlations with Factor 2. Milk yield (0.84–0.76) and accumulated milk yield (0.84–0.77) were strongly correlated with Factor 3. Based on the results, we conclude that the three calving scenarios were characterized by well-defined and independent factors. Cows which required a high assistance at calving showed a lower variance explained by the model for milk fat and total solids contents, calving interval, and the number of AIs per conception.

Abstract This research article describes the effect of different concentrations of iodine in the teat-dipping before milking and post-dipping solution on milk, urine, thyroid hormone, chemical composition and somatic cell count. Four multiparous cows were distributed in a 4 x 4 Latin square experimental design in a tie-stall system. The treatments were 0.5%, 1%, and 2% iodine and the control was treated with chlorhexidine. The iodine concentration of milk, food and urine was quantified. Thyroid hormones were analyzed by chemiluminescence microparticle immunoassay. Milk composition by differential absorption of infrared waves and somatic cell countby (SCC) flow cytometry. There was no significant effect of iodine concentrations in teats soaking solution before milking on urine iodine concentration and thyroid hormones (T3 and T4). Likewise, no effect of treatments was observed for the contents of protein, fat, lactose, total solids, Milk urea nitrogen and SCC. However, increasing iodine concentrations in the teat soaking solution before milking linearly increased the iodine concentration in milk. Therefore, the iodine concentration in the pre-milking and post-dipping solutions can change the iodine concentration in the milk.

RESUMO: Buscou-se analisar a tipologia de sistemas produtivos leiteiros familiares e patronais, localizados na região leste do estado de Goiás. Foram aplicados formulários semiestruturados em 170 sistemas produtivos leiteiros nas cidades de Cristalina, Luziânia e Silvânia. Os sistemas leiteiros foram segregados em dois grupos G1: produtores familiares e G2 produtores patronais. Para as demais variáveis foi aplicada a técnica de Análise Fatorial Exploratória - AFE com método de extração de Componentes Principais - ACP. Quatro Fatores foram obtidos: F1- manejo de ordenha, F2 - escala de produção, F3 - produtividade e, F4 - social. Os grupos G1 e G2 foram comparados frente aos Fatores. Produtores de leite patronais (G2) apresentaram maiores resultados para F1 e F2 quando comparados com produtores de leite familiares (G1). Desta forma, entre os sistemas produtivos leiteiros analisados, aqueles classificados como patronais (G2) apresentaram maior escala de produção de leite, maior frequência na adoção práticas de manejo e higiene de ordenha e portanto, estão mais adequados as demandas institucionais e de mercado atuais.

ABSTRACT: 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.

ABSTRACT This study aimed to investigate the influence of forage production area, concentrate supply, and farm labor on characterization of milk production systems (MPS) and their productive results. Milk volume data provided in 2014 by 110 dairy farms located in the eastern region of Santa Catarina State, Brazil, were obtained from a dairy industry. Forty-four farms with different production levels were selected, in which interviews were carried out aiming to characterize the management practices related to forage production area, concentrate supply, and farm labor. A principal component analysis (PCA) was performed. Then, regressions were made between the principal components (PC) and indicator variables of productive response (annual milk production, milk production per area, milk production per cow, milk production per worker on farm, and number of cows per hectare). Finally, we performed a hierarchical agglomerative cluster analysis based on the PCA, followed by comparison of the means between clusters. Three PC were generated: indicator of scale and intensification, indicator of age of the manager and his experience on dairy farming, and indicator of specialization and permanent family labor available. The three PC were influencing the production results, especially PC1. It was possible to form five clusters: cluster 1, characterized by the highest value in PC1, showed the highest production results, followed by the cluster 2, with intermediate values in PC1; clusters 3, 4, and 5, characterized by lower values in PC1 and distinguished by PC2 and PC3, had the lowest productive results. Aspects related to forage production area, concentrate supply, and workforce are important for MPS characterization and have significant influence on productive results.

ABSTRACT We aimed to compare the typology of dairy production systems (DPS) that meet Brazilian quality standards with that of non-compliant DPS. Semi-structured questionnaires were applied in 128 DPS located in Santa Izabel do Oeste, Paraná, Brazil (25°49'16" S and 53°29'04" W). In addition, milk quality reports of each DPS were analyzed. Dairy production systems were segregated into two groups: G1 – DPS that were in accordance with Brazilian regulations on milk quality, and G2 – DPS that did not comply with Brazilian regulations. Exploratory factor analysis was performed on structural, production, and technical variables. Two factors were defined: F1 – production scale and bargaining power, and F2 – autonomy and production control. Groups 1 and 2 were evaluated according to their structural, production, and technical characteristics as well as their F1 and F2 values. A small fraction (6.25%) of DPS met the minimum quality standards for milk. Dairy production systems that comply with quality regulations have larger production scale, higher productivity, and greater autonomy and control of milk production. Consequently, they have better bargaining power with the industry for the marketing of milk.

ABSTRACT The objective of this paper was to analyze financial management practices in dairy production systems. More specifically, we sought to identify which milk producers adopt financial management practices. We conducted 55 semi-structured questionnaires in the Western Region of Paraná. The data were processed through descriptive and multivariate statistical analysis. The analysis of hierarchical clusters defined, based on variables related to financial management practices, two distinct groups. The first group included milk producers who do not adopt financial management practices (N = 49) and the second group described the milk producers who do adopt these practices (N = 6). We then used Common Factor Analysis, along with structural, technical, productive, and socioeconomic variables to define the three factors that best explained the variance between the clusters: factor 1 - structural; factor 2 - social; factor 3 - informational. Smaller dairy production systems, with lower production, managed by younger producers, and employing younger workers, are those adopting financial management practices. Therefore, the scarcity of resources is not a limiting factor in the adoption of financial management practices.

O objetivo definido neste trabalho foi verificar se produtores de leite que participam de arranjos horizontais (AH) possuem menor assimetria de informações, frente àqueles que não participam desses arranjos. Parte-se do pressuposto de que o maior acesso à informação resulta em menor risco para o produtor rural. Foram aplicados 120 questionários semiestruturados junto a produtores rurais de leite, localizados em quatro macrorregiões do Estado do Paraná. Foi realizada a análise fatorial exploratória (AFE) para definição de fatores relacionados à assimetria de informação em Sistemas Produtivos Leiteiros (SPL's). Os 120 produtores entrevistados foram divididos em dois grupos: aqueles que participavam de arranjos horizontais (AH) e aqueles que não participavam. Esses grupos foram confrontados com os fatores gerados na análise anterior. Foi encontrada diferença significativa (P<0,05) para os fatores "Informações relacionadas às transações" e "Informações globais para a atividade", sendo que produtores de leite que participavam de arranjos horizontais obtiveram melhores resultados. Por fim, conclui-se que produtores que participam de AH têm mais acesso à informação, o que pode criar um ambiente de menor assimetria de informações e consequentemente de menor risco, comparativamente a produtores que não participam de AH

An empirical investigation was conducted to study whether dairy farmers involved in horizontal arrangements (HA) have lower information asymmetry than those who do not participate in HA. Our assumption is that greater access to information results in fewer risky decisions in production systems. One hundred and twenty semi-structured questionnaires were applied to dairy farmers located in four different geographical regions in Paraná State, Brazil. Exploratory factor analysis was used to define factors related to information asymmetry in dairy agribusiness system (DAS) and four factors were defined. In a second step, the 120 dairy farmers were split into two groups: the first one involved in HA and the second one not involved in HA. Mean test (t-student) were performed to compare these groups between factors. Significant differences (P<0.05) were observed for factors related to transaction information and for general market information, and dairy farmers participating in HA achieved the greatest values. Finally, it can be concluded that dairy farmers who participate in HA have higher access to information, which can create an environment with lower information asymmetry and, consequently, be subject to lower risks than dairy farmers who do not participate in HA

Dentro do atual contexto competitivo, caracterizado pelo processo de globalização e por avanços tecnológicos acelerados, criam-se ambientes altamente dinâmicos, com destaque para a flexibilidade estratégica, a perspectiva global, a inteligência competitiva e a inovação. Considerando o conceito de ecoinovação, questões relativas ao meio ambiente têm tido destaque no meio concorrencial. O objetivo proposto neste trabalho é identificar e analisar ações ambientais estratégicas implantadas por empresa de capital nacional atuante no setor de cosméticos. Para tanto, foram utilizadas informações secundárias e dados primários coletados junto à empresa. Os resultados do trabalho indicaram forte alinhamento estratégico e melhorias ambientais, associados à interação entre gestão ambiental e inovações de produto, de processo, de marketing e organizacional. Percebeu-se iniciativa da alta gerência na condução dos procedimentos ambientais e a necessidade de coordenação com agentes da cadeia de suprimentos. As principais dificuldades para melhorias ambientais estão associadas à necessidade de elevados investimentos para desenvolvimento de produtos e melhorias de processo, assim como a limitações de conhecimento técnico e científico. Por fim, destaca-se a importância da interação entre agentes internos e externos para a condução de melhorias ambientais.

Within the current competitive scenario, characterized by globalization and technological advances, extremely dynamic environments emerge with emphasis on flexible strategies, global perspective, competitive intelligence, and innovation. Considering the concept of eco-innovation, environmental matters have been highlighted in competitiveness. This paper aims to identify and analyze strategic environmental activities in a national enterprise from the cosmetic sector, through secondary and primary data (in loco interview). Results showed strong alignment between strategy and environmental activities, as well as interfaces with product, process marketing, and organizational innovations. Also, environmental procedures depend on initiatives of top management and supply chain coordination. The main difficulties to environmental improvements are related to high investment levels in product and process developments, as well as to limited scientific and technical knowledge. Finally, the importance of intra-firm and inter-firm interactions to conduct environmental improvements should be highlighted.