Development of mathematical models to predict dry matter intake in feedlot Santa Ines rams
作者： Pablo Almeida Sampaio Vieira , Luiz Gustavo Ribeiro Pereira , José Augusto Gomes Azevêdo , André Luiz Alves Neves , Mário Luiz Chizzotti
DOI: 10.1016/J.SMALLRUMRES.2012.10.007
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摘要: Abstract Mathematical models to predict the dry matter intake (DMI) of feedlot Santa Ines rams were developed and evaluated in this study. The available database had 100 experimental units from 13 studies. Study effect was integrated random effects their interactions as components a hybrid model. independent variables initially adjusted model which included fixed for y-intercept slope study, using unstructured covariance (e.g.: UN-unstructured). on verified, then meta-analysis procedure develop DMI prediction equations performed. For validation comparisons between existing national international literature, data one survey with 21 animals used. Validation methods observed predicted based linear regression adjustment values over values. following variables: average live weight (ALW), metabolic (MLW0.75), daily gain (ADG) gain2 (ADGsq) presented positive correlation DMI. In contrast diet concentrate level showed negative correlation. Among eight examined, resulting equation [DMI (g/day) = 238.74 ± 114.56 (0.0398) + 31.3574 ± 4.2737 (
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