Regression analysis to predict growth performance from dietary net energy in growing-finishing pigs

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dc.contributor.author Nitikanchana, Sureemas
dc.contributor.author Dritz, Steven S.
dc.contributor.author Tokach, Michael D.
dc.contributor.author DeRouchey, Joel M.
dc.contributor.author Goodband, Robert D.
dc.contributor.author White, Bradley J.
dc.contributor.author Nelssen, Jim L.
dc.date.accessioned 2014-05-09T21:05:44Z
dc.date.available 2014-05-09T21:05:44Z
dc.date.issued 2014-05-09
dc.identifier.uri http://hdl.handle.net/2097/17742
dc.description.abstract Energy concentration in livestock feed is often altered to optimize pig growth performance and feed cost; therefore, an accurate prediction of growth performance as affected by feeding different energy levels is crucial. Data from 41 trials from 17 journal articles, 10 technical memos, and a thesis were used to develop a regression equation to predict ADG or gain to feed (G:F) as influenced by BW and NE content. Linear and quadratic terms of NE, average BW, CP, standardized ileal digestible [SID] lysine, crude fiber, NDF, ADF, fat, and ash, including their interaction terms, were the variables in the regression analysis. Our regression analysis showed that improvements in growth rate and feed efficiency could be obtained by increasing dietary NE across a wide variety of trials with different dietary ingredients and under different environmental conditions, but the magnitude of improvement in growth performances by dietary NE can be minimized if the amino acids are limiting. Regression equations from this paper can be used to predict the influence of dietary NE on ADG and G:F; however, these equations still need validation from growth studies not included in their development. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University. Agricultural Experiment Station and Cooperative Extension Service en_US
dc.relation.isPartOf Swine day, 2013 en_US
dc.relation.isPartOf Kansas Agricultural Experiment Station contribution; no. 14-044-S en_US
dc.relation.isPartOf Report of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 1092 en_US
dc.subject Growth performance en_US
dc.subject Finishing pig en_US
dc.subject Net energy en_US
dc.subject Regression en_US
dc.title Regression analysis to predict growth performance from dietary net energy in growing-finishing pigs en_US
dc.type Conference paper en_US
dc.date.published 2013 en_US
dc.citation.epage 245 en_US
dc.citation.spage 236 en_US
dc.description.conference Swine Day, Manhattan, KS, November 21, 2013 en_US
dc.contributor.authoreid dritz en_US
dc.contributor.authoreid mtokach en_US
dc.contributor.authoreid jderouch en_US
dc.contributor.authoreid goodband en_US
dc.contributor.authoreid whiteb en_US
dc.contributor.authoreid jnelssen en_US


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