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  • 标题:Evaluation of Linear Models and Linear Mixed Models to Predict the Effects of Antimicrobial Peptides on Broiler Performance
  • 本地全文:下载
  • 作者:M M Sholikin ; M D Alifian ; A T Wahyudi
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2020
  • 卷号:478
  • 期号:1
  • DOI:10.1088/1755-1315/478/1/012002
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:This study aims to evaluate linear models and linear mixed models that were built based on the database of effect Antimicrobial Peptide (AMP) on broiler performance. The method of this research consists of compiling a database, making models, and evaluating models. The database compiled from a comparative study related to the effect of AMP on body weight, average daily gain, daily feed intake, and the feed conversion ratio from broilers reared at 1-21 days. The model consists of five Linear Models (LM) and five Linear Mixed Models (LMM). The best model determined by Bayesian Information Criteria (BIC) and then the correlation value calculated according to actual vs. predicted value. Based on the lowest BIC value, the representative model for body weight, average body weight gain, and average feed consumption are model 9. Besides that, the feed conversion ratio relates to model 2. Model 9 is a linear mixed model with levels as fixed effects and random effects consisting of studies, broiler breeds, type of peptides, and treatment methods. In conclusion, LMM is better than LM in predicting complex problems such as comparative studies of the effects AMP on broiler performance.
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