Multidimensional performance assessment of a sample of beef cattle ranches in the Pantanal from a data envelopment analysis perspective / Avaliação multidimensional do desempenho de uma amostra de fazendas de pecuária do Pantanal sob a ótica de modelos de análise envoltória de dados

Beef cattle ranching is the main economic activity in the Brazilian Pantanal, undertaken in an extensive manner, mostly in natural environments and dynamic in space and time. The ongoing monitoring, assessment, and performance improvement are key aspects of the search for sustainable use of natural resources in beef cattle ranches, as these ranches are the management units in the Pantanal. In this paper we proposed a data envelopment analysis (DEA) approach to assess the performance of fourteen beef cattle ranches in the Pantanal wetland as a case study, considering financial, productive, and environmental sustainability dimensions. We modeled each dimension separately and calculated an overall performance score. We also fit fractional regression models to study the influence of potential covariates on the performance scores. The methodological approach proposed here proved to be adequate for the case study, as the results are in line with the expectations of decision-makers regarding the performance of the ranches. The overall performance analysis was influenced by the proportion of higher quality native forage resources, which depends on the dynamics and on the spatial-temporal variation of the landscapes. Therefore, overall performance requires adaptive management of ranches based on diversity conservation, which benefits the multifunctionality of products and services.

A pecuária de corte é a principal atividade econômica do Pantanal brasileiro, praticada de forma extensiva em ambientes predominantemente naturais e espaço-temporalmente dinâmicos. Monitorar, avaliar e aprimorar continuamente o desempenho das fazendas de pecuária é um aspecto chave na busca do uso sustentável de recursos naturais, já que as fazendas são a unidade de manejo no Pantanal. Nesse sentido, objetivou-se neste artigo a adoção de modelos de análise envoltória de dados (DEA) para avaliar o desempenho de 14 fazendas pantaneiras como estudo de caso, considerando as dimensões da sustentabilidade financeira, produtiva e ambiental. Cada dimensão foi modelada separadamente e, na sequência, foi calculado um escore único de desempenho global. Foram ainda ajustados modelos de regressão fracionária para estudar a influência de potenciais covariáveis nos escores de desempenho. A abordagem metodológica aqui proposta mostrou-se adequada ao caso de estudo em questão, com resultados alinhados às expectativas dos tomadores de decisão quanto ao desempenho das fazendas. A análise do desempenho global foi influenciada pela proporção de recursos forrageiros nativos de melhor qualidade, que depende da dinâmica e variação espaço-temporal das paisagens. Portanto, o desempenho global requer uma gestão adaptativa das propriedades com base na conservação da diversidade, o que beneficia a multifuncionalidade de produtos e serviços.

Factors affecting the performance of Pantaneiro horses

This study aimed to assess the physical performance of Pantaneiro horses with and without equine infectious anemia (EIA) under functional conditions of cattle management. The horses were subjected to a performance test and split into two groups according to a completely randomized design: animals were chosen from populations testing positive and negative for EIA. Performance was measured as a function of a data envelopment analysis (DEA) model considering four outputs and one unitary input. The output measures were the distance achieved in the performance test, hematocrit as a weighted average over the test duration, respiratory rate as weighted average over the test duration, and the level of lactic acid at the test termination. Weights for the hematocrit and the respiratory rate output variables were determined by means of factor analysis. The performance score was a weighted average of the output variables with the weights defined by the averages of the optimum individual multipliers in the DEA analysis. Contextual variables of interest were age, horse weight, room temperature, and corporal temperature. Only groups and room temperature were statistically significant effects, as indicated by a bootstrap analysis. The performance of group positive for EIA is significantly lower than that of the group negative for EIA and room temperature has a negative effect.(AU)