Cattle farmers: profile and speech content analysis while undergoing training to adopt artificial insemination in Goiás State, Brazil

• Autor(a) principal: Gordo,João Maurício Lucas
• Data de Publicação: 2013
• Outros Autores: Silva,Marcelo Corrêa da, Solano,Gianice de Almeida, Lopes,Fernando Brito, Costa,Marcos Fernando Oliveira e, Rocha,Francisco Eduardo de Castro, Fioravanti,Maria Clorinda Soares, Sereno,José Robson Bezerra
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Zootecnia (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982013000300003
• topic: animal reproduction; biotechnology; discourse analysis; social psychology

This study was undertaken to verify major issues present in the discourse of cattle farmers when discussing the use of artificial insemination (AI). Seventy-one beef and dairy cattle farmers in the state of Goiás, Brazil, were interviewed using semi-structured questionnaires during AI training courses in 2010 and 2011. Data analyses were done using the classic method of textual speech content analysis, performing the pre-analytical, analytical and inferential stages. The written questions were separated in elementary context units (ECU) and sorted into similar thematic groups. These groups originated categories and subcategories, which were nominated based on an a posteriori criteria. Overall, personal motivation was the main issue characterizing discourse by farmers about adoption of AI. This motivation stems from the strong points (highlights) and positive expectations AI offers. The positive expectations were mainly related to perceptions of farmers of animal phenotype improvement rather than to the financial features of cattle production. Basic necessity was the second major issue, with emphasis on work force, infrastructure and animal handling, followed by social influence, with eminence of the institutions and people involved with AI and with the everyday life of cattle farmers. The little emphasis on human resource management and on the use of scientific knowledge may have affected the impact of AI over the years, explaining discreet indices of adoption of AI in Brazil.