Competitiveness of beef farming in Rio Grande do Sul State, Brazil

Marques, Pedro Rocha; Barcellos, Júlio Otávio Jardim; McManus, Concepta; Oaigen, Ricardo Pedroso; Collares, Fernando Carbonari; Canozzi, Maria Eugênia Andrighetto; Lampert, V. N.

doi:10.1016/j.agsy.2011.08.002

Cited by 22 publications

(27 citation statements)

References 9 publications

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“…Several studies in literature demonstrate that bioeconomically efficient systems apply technically suitable pasture management practices (Marques et al, 2011;Dill et al, 2015). In addition, as farmers in the IEL cluster do not calculate financial indicators, technologies such as nitrogen fertilization are not properly applied.…”

Section: Discussionmentioning

confidence: 99%

“…The qualitative method applied the methodology of Marques et al (2011), which assumes that drivers determine the efficiency of a production system whether the manager is able to control. Therefore, each driver was firstly classified as controllable, semi-controllable, or not controllable by experts that helped to develop the questionnaire.…”

Section: Methodsmentioning

confidence: 99%

“…The production systems in the region presented 62% weaning rate, 35-month slaughter age, and 0.4 AU ha -1 year pasturecarrying capacity compared with the Brazilian averages of 65.8%, 37.5 months, and 0.67 AU ha -1 year, respectively. The poor economic and production indexes demonstrate the low productivity and the frequent economic losses of the beef cattle business (Marques et al, 2011;Lampert et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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A proposal for the evaluation of the bioeconomic efficiency of beef cattle production systems

et al. 2017

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-The objective of this study was to identify types of production system and their main indicators on bioeconomic efficiency, using qualitative and quantitative methods to evaluate beef cattle farms in the western region of the state of Rio Grande do Sul. A survey was carried out with 43 farmers operating in the western region of that state. All farms operated with complete cycle production systems in areas larger or equal to 900 ha. A qualitative questionnaire with binary answers and a quantitative questionnaire with numerical answers were applied. Technology and Management drivers were used for the calculation of the efficiency index of farmers obtained by both questionnaires. Farmers were divided into three clusters: low-efficiency level (LEL), intermediate-efficiency level (IEM), or high-efficiency level (HEL), as a result of the comparison of the scores obtained for the analyzed parameters. Subfactors resulting from each comparison (LEL × IEL; LEL × HEL, and IEL × HEL) were different as a function of the comparison and of the methods applied. Low-efficiency level farmers need to improve essential production processes, such as technology and management, as well as health management practices together with the financial management of the production system. Intermediate-efficiency level farmers need to improve their routine animal management, pasture management, and calculation of financial indicators to become highly efficient. The quantitative method allowed to identify underestimation (39.3%) or overestimation (24.2%) when farmers were are classified in clusters. Different methods may be used, but those based on quantitative information have stronger discrimination power to identify different types of farmers.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A proposal for the evaluation of the bioeconomic efficiency of beef cattle production systems

et al. 2017

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“…Cattle production integrated with rice production was the predominant system (n=23) followed by crops plus cattle and sheep production (n=18). High levels of integration with crop production (82.5%) and sheep farming (60.3%) on these farms should be noted (MARQUES et al, 2011).…”

Section: Methodsmentioning

confidence: 99%

“…Indeed, while farmers with a low level of competitiveness should invest in pasture management to reach medium level, medium level farmers should invest in production system management. In addition, farmers with high level of competitiveness should invest in management practices to improve the system (MARQUES et al, 2011). The introduction of new technologies should, therefore, respect the following assumptions: that there is knowledge on the impact on production within the production system, the amplitude of the result (everything right x everything wrong), assess whether the cost of using technology is a limiting factor for all other operational activities on farm; existence of positive cash flow and resources to use the technology, as well as market situation (OAIGEN et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Competitiveness levels in cattle herd farms

et al. 2014

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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

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Technologies that affect the weaning rate in beef cattle production systems

Dill

Pereira

Costa

et al. 2015

Trop Anim Health Prod

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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 < 0.05. Three distinct clusters of farmers were created (R (2) = 0.90), named as low (LWR), intermediate (IWR), and high (HWR) weaning rate, with 100, 91, and 96 % of the farmers identified within their respective groups and average weaning rates of 59, 72, and 83 %, respectively. IWR and HWR farmers used more improved natural pasture, fixed-time artificial insemination, selection for birth weight, and proteinated salt compared to LWR. HWR farmers used more stocking rate control, and IWR farmers used more ultrasound to evaluate reproductive performance compared to the LWR group. IWR and HWR adopted more technologies related to nutrition and reproductive aspects of the herd in comparison to LWR. We concluded that farmers with higher technology use on farm had higher weaning rates which could be used to benefit less efficient farmers.

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Competitiveness of beef farming in Rio Grande do Sul State, Brazil

Cited by 22 publications

References 9 publications

A proposal for the evaluation of the bioeconomic efficiency of beef cattle production systems

A proposal for the evaluation of the bioeconomic efficiency of beef cattle production systems

Competitiveness levels in cattle herd farms

Technologies that affect the weaning rate in beef cattle production systems

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