BibTex Citation Data :
@article{JITAA7417, author = {A. Jayanegara and I. Ikhsan and T. Toharmat}, title = {ASSESSMENT OF METHANE ESTIMATION FROM VOLATILE FATTY ACID STOICHIOMETRY IN THE RUMEN IN VITRO}, journal = {Journal of the Indonesian Tropical Animal Agriculture}, volume = {38}, number = {2}, year = {2013}, keywords = {Methane. VFA. stoichiometry. estimation}, abstract = {Rumen microbes breakdown feed to produce volatile fatty acids (VFA), carbon dioxide, ammoniaand methane (CH4). Metabolic hydrogen in the form of reduced protons is used during CH4 formation aswell as during VFA synthesis. Therefore, VFA concentration in the rumen may stoichiometrically berelated to CH4 emission. The aim of this study was to evaluate methane emission between experimentaland model estimates. Two stoichiometrical models for predicting CH4 from VFA were assessed, i.e.Moss et al. (2000) and Hegarty and Nolan (2007) models. The data sets were obtained from a publishedliterature. Samples used were leaves from 27 tropical plant species. Prediction error was conducted bycomputing root mean square prediction error (RMSPE). Results showed that estimation model of Mosset al. (2000) had lower RMSPE value, i.e. 8.01%, than that of Hegarty and Nolan (2007) model, i.e.10.73%. Variation of methane emission, i.e. the low or high methane can be estimated by VFAcomposition with a sufficient accuracy. Adjusment by considering H2 recovery lowered the biassignificantly. It can be concluded that Moss model had better accuracy in predicting CH4 emission fromVFA composition than that of Hegarty and Nolan model.}, issn = {2460-6278}, pages = {103--108} doi = {10.14710/jitaa.38.2.103-108}, url = {https://ejournal.undip.ac.id/index.php/jitaa/article/view/7417} }
Refworks Citation Data :
Article Metrics:
Last update:
Manipulation of Rumen Fermentation and Methane Gas Production by Plant Secondary Metabolites (Saponin, Tannin and Essential Oil) – A Review of Ten-Year Studies
Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation
Optimizing protein, energy, and protein degradable ratios to enhance in vitro ruminal fermentation and reduce methane gas emission
The effect of silkworms (Bombyx mori) chitosan on rumen fermentation, methanogenesis, and microbial population in vitro
Effects of Doses and Different Sources of Tannins on in vitro Ruminal Methane, Volatile Fatty Acids Production and on Bacteria and Protozoa Populations
Comparative effect of Volvariella volvacea-treated rice straw and purple corn stover fed at different levels on predicted methane production and milk fatty acid profiles in tropical dairy cows
Supplementation effectivity of cassava and Indigofera zollingeriana leaves extraction on rumen fermentation system of in vitro
Development of Volatile Fatty Acid and Methane Production Prediction Model Using Ruminant Nutrition Comparison of Algorithms
Last update: 2024-12-12 12:18:04
Manipulation of rumen fermentation and methane gas production by plant secondary metabolites (saponin, tannin and essential oil) - A review of ten-year studies
Addition of purified tannin sources and polyethylene glycol treatment on methane emission and rumen fermentation in Vitro
Faculty of Animal and Agricultural Sciences, Diponegoro University
Campus Drh. Soejono Koesoemowardojo,Jl. Prof. Soedarto, SH., Tembalang, SemarangIndonesia 50275
jitaa.undip@gmail.com
http://ejournal.undip.ac.id/index.php/jitaa
Phone/Fax: +62247474750