Development and application of a bioeconomic efficiency index for beef cattle production in Rio Grande do Sul, Brazil

Lampert, V. do N.; Barcellos, Júlio Otávio Jardim; Neto, Francisco José Kliemann; Canellas, Leonardo Canali; Dill, Matheus Dhein; Canozzi, Maria Eugênia Andrighetto

doi:10.1590/s1516-35982012000300042

Cited by 13 publications

(19 citation statements)

References 8 publications

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“…Among genetic groups, ½ Simmental + ½ Nellore heifers showed high probability of pregnancy with less weight. This fact may be due to the younger age at the beginning of reproductive life in this genetic group, as well as the individual heterosis for this variable (Lemos et al, 1992).…”

Section: Resultsmentioning

confidence: 97%

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Probability of pregnancy in beef heifers

Faria

Costa

Raidan

et al. 2014

Arq. Bras. Med. Vet. Zootec.

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This study aimed to evaluate the influence of initial weight, initial age, average daily gain in initial weight, average daily gain in total weight and genetic group on the probability of pregnancy in primiparous females of the Nellore, ½ Simmental + ½ Nellore, and ¾ Nellore + ¼ Simmental genetic groups. Data were collected from the livestock file of the Farpal Farm, located in the municipality of Jaíba, Minas Gerais State, Brazil. The pregnancy diagnosis results (success = 1 and failure = 0) were used to determine the probability of pregnancy that was modeled using logistic regression by the Proc Logistic procedure available on SAS (Statistical…, 2004) software, from the regressor variables initial weight, average daily gain in initial weight, average daily gain in total weight, and genetic group. Initial weight (IW) was the most important variable in the probability of pregnancy in heifers, and 1-kg increments in IW allowed for increases of 5.8, 9.8 and 3.4% in the probability of pregnancy in Nellore, ½ Simmental + ½ Nellore and, ¾ Nellore + ¼ Simmental heifers, respectively. The initial age influenced the probability of pregnancy in Nellore heifers. From the estimates of the effects of each variable it was possible to determine the minimum initial weights for each genetic group. This information can be used to monitor the development of heifers until the breeding season and increase the pregnancy rate.

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Section: Resultsmentioning

confidence: 97%

“…Increasing birth rate by one percentage point and reducing ages of mating and slaughter by one year resulted in average increases in production per hectare of 0.84%, 9.19% and 8.11% and in the outcome rates of 0.88%, 8.81% and 19.7%, respectively (Lampert et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Probability of pregnancy in beef heifers

Faria

Costa

Raidan

et al. 2014

Arq. Bras. Med. Vet. Zootec.

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“…The subfactor feed supplementation refers to the use of feed supplements and to associate characteristics, such as nutritional value, cattle management, and expected weight gain. Several authors have reported that the efficiency of feed supplementation depends on cost monitoring and on the forecast of financial results (Pilau et al, 2003;Figueiredo et al, 2007;Lampert et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…During the last five years, soybean crop area increased 18.3% in the state of Rio Grande do Sul, particularly in the western regions, which concentrate 45% of the beef cattle herd of that state (IBGE, 2010). Soybean crop has expanded in this new agricultural frontier in areas planted in the past with rice in the summer, which were previously used for beef production or in areas that were exclusively used for grazing (Brandão et al, 2005;Lampert et al, 2012). This will demand further intensification of beef cattle production to achieve better bioeconomic efficiency.…”

Section: Introductionmentioning

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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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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Development and application of a bioeconomic efficiency index for beef cattle production in Rio Grande do Sul, Brazil

Cited by 13 publications

References 8 publications

Probability of pregnancy in beef heifers

Probability of pregnancy in beef heifers

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

Technologies that affect the weaning rate in beef cattle production systems

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