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| Marques,Pedro Rocha; Peripolli,Vanessa; Lampert,Vinícius do Nascimento; Dias,Eduardo Antunes; Pereira,Gabriel Ribas; Oliveira,Tamara Esteves de; Rocha,Marcela Kuczynski da; Barcellos,Júlio Otávio Jardim. |
| ABSTRACT 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),... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Beef cattle farmers; Clusters analysis; Efficiency; Evaluation methods. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017000100065 |
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| Menegassi,Sílvio Renato Oliveira; Barcellos,Júlio Otávio Jardim; Peripolli,Vanessa; Dias,Eduardo Antunes; Costa Junior,João Batista Gonçalves; Vieira,Maitê de Moraes; Moojen,Fernanda Gomes. |
| The objective of this study was to determine the main causes of failure in bull breeding using a soundness evaluation in Rio Grande do Sul State/Brazil. We evaluated 19,836 bulls from 15 different breeds with ages ranging from two to eight years. The failures of bulls in each step were analyzed by logistic regression. The binary logistic regression was applied because the response variable had only two responses: Success (1) and Failure (0). Older bulls are more likely to be rejected than are younger bulls, regardless of their genetic group. Depending on the step of the assessment, one or another group is rejected. All steps of bull breeding soundness evaluation (BBSE) are important, with special attention to the failures of the behavioral evaluation... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: BBSE; Fertility; Mounting ability; Scrotal circumference. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982015000700240 |
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| Brandão,Fernanda Scharnberg; Barcellos,Júlio Otávio Jardim; Waquil,Paulo Dabdab; Oliveira,Tamara Esteves de; Gianezini,Miguelangelo; Dias,Eduardo Antunes. |
| The complexity of the consumers' behavior has taken the food industry to a new level of dynamism. Therefore, understanding the factors that influence this behavior is decisive for the differentiation of products to niche markets and even to adjust the supply according to consumers' expectancy. This article proposes a conceptual model to identify the factors influencing beef consumption in Brazil. The methodological approach was characterized by a systematic review through a synthesis of research related directly to this topic. Therefore, 76 papers published during the 2000-2014 period, including official documents (statistics), full research papers, abstracts, proceedings, and reports, were selected. Four main factors were related to influences in consumer... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agribusiness; Beef cattle; Behavior; Price; Sustainability. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982015000600213 |
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| Marques,Pedro Rocha; Barcellos,Júlio Otávio Jardim; Dill,Matheus Dhein; Dias,Eduardo Antunes; Azevedo,Eduardo Vaz Torres; Lampert,Vinícius do Nascimento; McManus,Concepta Margaret. |
| 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)... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cluster; Level of impact; Management; Ranking; Stratification. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300480 |
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