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Traditional livestock productivity is hard to estimate, since it depends on a gamut of animal production indicators that are difficult to measure for many farms. Thus, we propose an analytical method for estimating productivity and understanding the importance of animal production indicators under different full-cycle cattle production systems in Brazil. To evaluate the impact of these indicators, equations were derived from a comutational model of herd evolution for estimating the output parameters of the system as follows: productivity per hectare (PH) and offtake rate (COR), as a function of the indicators; calving rate (CR), mating age (AM), age of slaughter (AS) and stocking rate (SR). For this analysis, twenty-seven scenarios (simulation data) of low to high productivity were used, resulting from the combination of the following factors and levels: 1) calving rate of 50, 65 and 80 %; 2) mating age of heifers of one, two and three, years of age; and 3) age at slaughter of one, two and three year old steers. The scenario with the highest impact for each parameter and the indicator of highest impact for each scenario were identified for the production conditions in the region. Under most scenarios, a reduction in mating age had a greater impact on the productivity indexes compared to a reduction in slaughter age. Appropriate management of available technologies enables farmers to compare the marginal impacts of specific indicators on full-cycle production systems for beef cattle.

This study assessed the risks of different management practices to increase pregnancy rate in beef cow-calf systems, aiming at assisting decision-making. The perception of 18 experts on animal sciences regarding the risks of 32 nutritional, breeding, and general management practices applied to increase pregnancy rate were evaluated through questionnaires. The experts were selected by a non-probability sampling of researchers on veterinary and animal sciences. In addition, five farmers and eight technical consultants were also selected. The questionnaire was applied during a face-to-face meeting. The risk of each practice was assessed according to four factors, namely, cost, technical knowledge, operational complexity, and flexibility, and an equation was developed to calculate this risk. The applied method allowed to determine the risk of each practice, obtaining results similar to those previously perceived by the experts. Operational complexity and cost had greater influence on the estimated risks compared with the other factors. Moreover, the increase of one unit in operational complexity and cost increased the perceived risk and the estimated risk scores in 0.43 and 0.28 points, respectively. Overall, the application of general management practices presented lower risk score compared with nutritional and breeding practices, which were not different from which other. Equations to estimate the risks of farm managers should routinely apply management practices to increase the efficiency of cow-calf production systems.

O objetivo deste experimento é a identificação das demandas de melhorias para fazendas com diferentes níveis de competitividade no Oeste do RS. Entrevistaram-se 63 produtores grandes (área= +900 ha) por meio de um questionário semi-estruturado, dividido em quatro direcionadores: tecnologia (TEC), gestão (MAN), relações de mercado (MR) e ambiente institucional (IE). Utilizou-se o software SAS 2002, versão 9.0, para realização da análise de cluster, realizando a tipologia dos produtores. Nesta análise, formaram-se aleatoriamente três clusters, sendo denominados de baixo nível de competitividade (LCL), médio nível de competitividade (MCL) e alto nível de competitividade (HCL). Dividiram-se as 29 variáveis (subfatores) avaliadas na análise de cluster de acordo com nível de impacto na competitividade das fazendas de bovinos de corte, sendo classificadas em variáveis de alto, médio ou baixo impacto. Esta estratificação do ranking de demanda de melhorias foi realizada a partir dos pesos atribuídos pelos especialistas aos subfatores. Os pecuaristas com baixo nível de competitividade apresentaram status desfavorável para MAN, enquanto os pecuaristas pertencentes aos clusters MCL e HCL apresentaram, respectivamente, status neutro e favorável para o mesmo direcionador. Portanto, a gestão é determinante para definir o nível de competitividade das fazendas entrevistadas. The aim of this experiment was to identify improvement demands for farms with different levels of competitiveness in the west of Rio Grande do Sul state, Brazil. A total of 63 owners of large farms were interviewed (farms with an area greater than 900ha) by applying a semi-structured questionnaire, guided by four drivers: technology (TEC), management (MAN), market relations (MR) and the institutional environment (IE).It was used the Statistical Analysis System 9.2 software to perform the cluster analysis and identify farmers' characteristics. Three random clusters with different levels of competitiveness were observed: low competitiveness level (LCL), middle competitiveness level (MCL) and high competitiveness level (HCL). The 29 variables (sub factors) were evaluated in the cluster analysis according to level of impact on competitiveness, being classified into variables of high, medium or low impact. Stratification was carried out, ranking demands for improvements from aspects attributed by experts in relation to sub factors. The farmers with low competitiveness level (LTL) had an unfavorable status for MAN, while the farmers belonging to clusters MCL and HCL have, respectively, favorable and neutral status for the same driver. The management characteristics determined the level of competitiveness of the farms surveyed.

Beef cattle production in the Rio Grande do Sul State, Brazil, faces serious challenges due to low profitability and competition for alternative land uses. Despite this, many farmers have not yet adopted economic management practices as a support tool to enhance the competitiveness of their farms, due to differences related to lifestyle, values, customs, traditions and personal goals. We interviewed 73 farmers in order to understand the factors affecting the adoption of such practices. A probit model was estimated to identify farmers' characteristics, access to information, and production and economic characteristics that affect the adoption of economic management practices. Farmers with large landholdings and diversified production are less likely to adopt such practices. On the other hand, a number of factors, such as Internet access, participation in farmer associations, receiving technical assistance, number of cows bred annually, weaning rate greater than 70%, and utilization of the birth to slaughter system, positively affect the probability of adoption. Considering that few workshops and training programs on farm management are offered to farmers, the information presented in this study might be useful to motivate the development of extension programs, which take into account farmers' characteristics and, thus, achieve better results in terms of dissemination of economic management techniques.

We investigated the differences between weaning rates and technologies adopted by farmers in cow-calf production systems in Rio Grande do Sul State, Brazil. Interviews were carried out with 73 farmers about 48 technologies that could affect reproductive performance. Data were analyzed by multivariate analysis using a non-hierarchical cluster method. The level of significance was set at P

The pork meat production industry is facing new challenges as a consequence of consumers’ expectations regarding the quality and safety of food products. For the present study, experts and consumers in Rio Grande do Sul State, Brazil were interviewed to identify the attributes of pork loin that need to be improved. Consumers have particular concerns about the juiciness, fibrousness, and portion size of the meat, the diversity of cuts and safety and animal welfare. The supply chain was also analyzed in order to verify the procedural priorities that need to be improved in order to meet the demands of consumers. Experts were interviewed using the quality function deployment methodology. The findings of the study indicate that, improvements must be made in the production sector in terms of animal handling and transportation. In the processing sector, improvements are required regarding slaughter control of PSE and DFD, the development of new packaging, and product fractionation. The requirements in the distribution sector relate to information campaigns for consumers to diffuse the nutritional characteristics of pork loin and in the product safety through sanitary inspection.

Technological changes afforded a development in the agricultural productivity, making use of less resources and producing more out of it. Aiming to analyze if the boundaries the firm (soy producer) were altered due to technological changes (GMO soy). The evolution of soy production was compared and related to: the use of credit loans for covering costs; the amount of contracts related to rural loans; and the area for farming soy using rural credit. The results confirm the “Penrosian” conceptual, that the decreasing incomes may be overcome by the firm’s capacity to adapt its structure to new production conditions. So, it is possible to state that soy producer in Brazil were benefited with the opportunities brought about by the technological economy.

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.