New model of evaluation of sunflower and corn silages by the in vitro gas production technique

Authors

DOI:

https://doi.org/10.5433/1679-0359.2020v41n4p1373

Keywords:

Alternative feed, Forage, Proposed model, Rumen.

Abstract

This study aimed to propose a model called Two-compartment Logistic-von Bertalanffy (LVB) and to identify among the proposed and Two-compartment Logistic (TL) models the one that has the best goodness of fit to the kinetic curve of cumulative gas production (CGP) of sunflower and corn silages alone and combined using the in vitro semi-automated gas production technique. A random block split-plot experimental design was employed in which the inoculums were the blocks, the incubation times were the split-plots, and the experimental diets were: CS - corn silage, SS - sunflower silage (as single roughage), and their mixtures, i.e., 340SS (660 g kg-1 corn silage and 340 g kg-1 sunflower silage) and 660SS (340 g kg-1 corn silage and 660 g kg-1 sunflower silage). The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1. The criteria adopted were: adjusted coefficient of determination (R2adj.), residual mean squares (RMS), mean absolute deviation (MAD), Akaike information criterion (AIC), Bayesian information criterion (BIC), and relative efficiency (RE). The TL model had higher R2adj. values compared to LVB, however, such difference may be considered negligible. The LVB model had RE above one, which indicates it is superior to the TL model, in addition to the lowest RMS, MAD, AIC, and BIC values, The Two-compartment Logistic-von Bertalanffy model had the best fit to describe the CGP over time according to the methodology and conditions of the present study.

Author Biographies

André Luiz Pinto dos Santos, Universidade Federal Rural de Pernambuco

Pesquisador, Graduado no Programa de Biometria e Estatística Aplicada, Universidade Federal Rural de Pernambuco, UFRPE, Recife, PE, Brasil.

Cícero Carlos Ramos de Brito, Universidade Federal Rural de Pernambuco

Prof., Programa de Biometria e Estatística Aplicada, UFRPE, Recife, PE, Brasil.

Guilherme Rocha Moreira, Universidade Federal Rural de Pernambuco

Prof., Programa de Biometria e Estatística Aplicada, UFRPE, Recife, PE, Brasil.

Frank Gomes-Silva, Universidade Federal Rural de Pernambuco

Prof., Programa de Biometria e Estatística Aplicada, UFRPE, Recife, PE, Brasil.

Moacyr Cunha Filho, Universidade Federal Rural de Pernambuco

Prof., Programa de Biometria e Estatística Aplicada, UFRPE, Recife, PE, Brasil.

Maria Lindomárcia da Costa, Universidade Federal da Paraíba

Profa, Departamento de Zootecnia, Universidade Federal da Paraíba, UFPB, Areia, PB, Brasil.

Leonardo Andrade Leite, Serviço Brasileiro de Apoio às Micro e Pequenas Empresas

Consultor, Serviço Brasileiro de Apoio às Micro e Pequenas Empresas, SEBRAE, Belo Horizonte, MG, Brasil.

Ronaldo Braga Reis, Universidade Federal de Minas Gerais

Prof., Departamento de Zootecnia, Universidade Federal de Minas Gerais, UFMG, Belo Horizonte, MG, Brasil.

Patrícia Guimarães Pimentel, Universidade Federal do Ceará

Profa, Departamento de Zootecnia, Universidade Federal do Ceará, UFC, Ceará, CE, Brasil.

Mércia Regina de Figueiredo, Instituto Capixaba de Pesquisa

Pesquisadora, Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural, INCAPER, Linhares, ES, Brasil.

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Published

2020-05-13

How to Cite

Santos, A. L. P. dos, Brito, C. C. R. de, Moreira, G. R., Gomes-Silva, F., Cunha Filho, M., Costa, M. L. da, … Figueiredo, M. R. de. (2020). New model of evaluation of sunflower and corn silages by the in vitro gas production technique. Semina: Ciências Agrárias, 41(4), 1373–1384. https://doi.org/10.5433/1679-0359.2020v41n4p1373

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