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Utilizou-se análise de agrupamento para classificar e selecionar modelos não lineares de crescimento de bovinos Nelore, tendo em vista os resultados de diferentes avaliadores de qualidade de ajuste. Ajustaram-se 12 modelos não lineares. A qualidade de ajuste dos modelos foi medida pelo coeficiente de determinação (R²), quadrado médio do erro (QME), critério de informação de Akaike (AIC), critério de informação Bayesiano (BIC), erro quadrático médio de predição (MEP) e coeficiente de determinação de predição (R²p). O modelo Brody foi o que apresentou o melhor ajuste para o conjunto de dados. This study aimed to evaluate cluster analysis in classifying and selecting non linear models to describe Nelore beef cattle growth based on different goodness of fit criteria tests. A total of 12 non linear models were evaluated based on the following criteria: the determination coefficient (R²), error mean square (QME), Akaike information criterion (AIC), Bayesian information criterion (BIC), mean quadratic error of prediction (MEP) and predicted determination coefficient (R²p). The Brody model showed the best adjustment for the data set.

This goal of this paper is to measure and to make an analysis of the level of the familiar agricultural agribusiness in the state of Rio Grande do Sul, and comparing it with the one for the Brazilian economy as a whole, for the period from 1995 to 2003. Using input-output models it was possible to estimate the importance of the Gross Domestic Product of the familiar agribusiness in the national economy. The results show that around 1/3 of the Brazilian agribusiness comes from the agricultural production done by the familiar agriculture, the numbers are even more stricken for the state of Rio Grande do Sul, where 1/2 of the agribusiness GDP comes from the familiar agriculture. It was also noticed that the recent development of the familiar agriculture and of its links has been very positive, suppressing, the growth rates found in the non-familiar segment.

This paper aims to present the level of agribusiness family activity in Rio Grande do Sul, for the period 1995 to 2003. Through the input-output models has been possible to estimate the importance of gross domestic product generated by the agribusiness family. The results show that agribusiness family production in Rio Grande do Sul is of high importance in GDP not only in agribusiness, but in the overall state economy.