O trabalho apresenta uma metodologia de avaliação de sistemas de produção através da mensuração da competitividade interna na bovinocultura de corte. Durante o primeiro trimestre de 2010, foram aplicados 65 questionários com pecuaristas, sendo 36 entrevistas na Região Sul (Estado do Rio Grande do Sul) e 29 na Região Norte (Estados do Pará e Rondônia). Foram definidos os principais direcionadores que afetam a competitividade interna - tecnologia, gestão, relações de mercado e ambiente institucional, sendo atribuído um peso específico para cada direcionador, a fim de obter o índice de competitividade. Os resultados foram analisados estatisticamente pela teoria de resposta ao item e pela análise de correspondência (ANACOR) com o software SPSS®. A Região Sul apresentou uma maior competitividade que a Região Norte. Independente da região, os fatores críticos de competitividade foram: integração lavoura-pecuária, planejamento estratégico, cálculo de indicadores financeiros, formação de preços, acesso a inovações tecnológicas e organização dos produtores.

This paper presents a methodology for evaluating production systems by measuring the intern competitiveness of in beef cattle. During the first quarter of 2010, questionnaires were administered to 65 farmers, 36 interviews in the Southern Region (State of Rio Grande do Sul) and 29 in the Northern Region (States of Pará and Rondônia). Defined the key drivers that affect the international competitiveness - technology, management, market relations and institutional environment, an specific weight was assigned to each in order to get the index of competitiveness. The results were statistically analyzed by the item response theory and the correspondence analysis (ANACOR) with the SPSS® software. The South was more competitive than the North. Regardless of region, the critical factors of competitiveness were: crop-livestock integration, strategic planning, calculation of financial indicators, beef pricing, access to technological innovations and organization of farmers.

The objective of this study was to evaluate, using meta-analysis, the main factors related to post-weaning body weight and weight gain that affect pregnancy rate of heifers bred at 18 months of age. Data of 1398 beef heifers from six experiments were analyzed as a set. Information related to methodology and results of each experiment were codified in Microsoft Excel spreadsheets. The independent variables analyzed were: body weight at seven months of age (BW7M), daily weight gain from seven to 12 months (DWG7-12), body weight at 12 months of age (BW12M), daily weight gain from 12 to 15 months (DWG12-15), body weight at 15 months of age (BW15M), daily weight gain from 15 to 18 months (DWG15-18), daily weight gain from 7 to 18 months (DWG7-18) and body weight at 18 months of age (BW18M). The response variable was pregnancy rate (PR). Body weight at 18 months of age and DWG7-18 showed high correlation with PR and between each other. The other variables presented low correlation with PR. Body weight at first breeding and daily weight gain from seven to 18 months are the most important variables affecting the pregnancy rate of heifers bred at 18 months of age in the autumn. Weaning weight and weight gain during intermediate steps of the post-weaning period are not good predictors of pregnancy rate. Higher pregnancy rates can be obtained provided enough post-weaning weight gain and minimum body weight at first breeding are achieved, irrespective of when weight is gained.

An index was developed to estimate the bioeconomic efficiency of production systems, identifying alternative scenarios that could improve their efficiency, and building isoefficiency relations in beef cattle production systems in Rio Grande do Sul. The concept of return on investment was used to develop the indicator. Scenarios regarded as efficient showed values higher than 3. The bioeconomic efficiency index for beef cattle production in the theoretical reference scenario was considered inefficient. At least four modifications in the variables method made it a bioeconomically efficient activity. These circumstances were studied using sensitivity analyses, with theoretical changes in the scenarios by changing variables two by two, while the others were kept constant. In Rio Grande do Sul, alternatives that make the activity efficient were identified by changing productivity, production cost, land price and product price. Isoefficiency relationships were identified in other scenarios. The application of this indicator in other agricultural activities, as well as the design of bioefficiency studies including both environmental and social welfare characteristics are recommended.