Literature DB >> 29579269

Prediction of digestible and metabolizable energy of corn distillers dried grains with solubles for growing pigs using in vitro digestible nutrients.

Z Huang1, P E Urriola1, G C Shurson1.   

Abstract

The objective of this study was to develop prediction equations (EQS) that estimate DE and ME content of corn distillers dried grains with solubles (DDGS) using digestible (DIG) nutrients from in vitro or in vivo assays. Chemical composition data from 12 sources of corn DDGS were obtained using laboratory chemical analysis (LCA) and near infrared spectroscopy (NIRS). In vitro DM disappearance (IVDMD) from gastric and small intestine hydrolysis (IVDMDh), large intestine fermentation (IVDMDf), and total tract digestion (IVDMDt) were also determined along with in vivo apparent total tract digestibility (ATTD) of DM, CP, ether extract (EE), NDF, and ADF, and energy values (GE, DE, and ME). Correlation analysis was used to compare chemical composition from LCA with NIRS, and a stepwise selection of variables was performed using linear regression to establish DE and ME prediction EQS. Composition determined by NIRS did not correlate with values from LCA. Consequently, significance and R2 were poorer when using NIRS data as inputs to predict DE (P = 0.11; R2 = 0.23) and ME (P = 0.11; R2 = 0.24). However, when using LCA data, DE (P = 0.04; R2 = 0.35) and ME (P = 0.04; R2 = 0.52) estimates of corn DDGS obtained from prediction EQS had significant P values, but low R2. Better prediction of DE (P < 0.01; R2 = 0.83) and ME (P < 0.01; R2 = 0.76) was observed when using in vivo DIG nutrients as inputs (DM basis) for DE, kcal/kg = 854.5 + (3.6 × DIG DM, g/kg) + (3.7 × DIG EE, g/kg) + (2.0 × DIG NDF, g/kg) and ME, kcal/kg = 704.5 + (3.3 × DIG DM, g/kg) + (4.8 × DIG EE, g/kg) + (2.6 × DIG NDF, g/kg). In vitro DIG DM, but not in vitro DIG NDF, was selected for use in EQS (7) DE, kcal/kg = 6,383.6 - (42.5 × in vitro DIG DM, g/kg) + (35.4 × DIG EE, g/kg) and (8) ME, kcal/kg = 6,635.1 - (49.8 × in vitro DIG DM, g/kg) + (41.3 × DIG EE, g/kg), but the significance and accuracy for both DE (P = 0.07; R2 = 0.45) and ME (P = 0.05; R2 = 0.49) predictions was less using in vitro DIG nutrient values than using in vivo DIG nutrient values. If chemical composition was used to replace in vivo EE, along with in vitro DIG NDF and DM, the prediction EQS only used the concentration of ADF and EE as predictors instead of in vitro DIG NDF and DM. In conclusion, in vivo DIG NDF, DM, and EE are the best predictors for DE and ME content of corn DDGS for swine. Using NIRS to determine chemical composition, in vitro DIG NDF, and in vitro DIG DM did not result in accurate predictions of DE and ME.

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Year:  2018        PMID: 29579269      PMCID: PMC6140966          DOI: 10.1093/jas/sky102

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  8 in total

1.  Determination and prediction of digestible and metabolizable energy from chemical analysis of corn coproducts fed to finishing pigs.

Authors:  P V Anderson; B J Kerr; T E Weber; C J Ziemer; G C Shurson
Journal:  J Anim Sci       Date:  2011-12-06       Impact factor: 3.159

2.  Effects of reduced-oil corn distillers dried grains with solubles composition on digestible and metabolizable energy value and prediction in growing pigs.

Authors:  B J Kerr; W A Dozier; G C Shurson
Journal:  J Anim Sci       Date:  2013-07       Impact factor: 3.159

3.  New mathematical model for interpreting pH-stat digestion profiles: impact of lipid droplet characteristics on in vitro digestibility.

Authors:  Yan Li; David Julian McClements
Journal:  J Agric Food Chem       Date:  2010-07-14       Impact factor: 5.279

4.  Prediction of digestibility of nutrients and energy values of pig diets from chemical analysis.

Authors:  J Noblet; J M Perez
Journal:  J Anim Sci       Date:  1993-12       Impact factor: 3.159

5.  Amino acid digestibility of distillers dried grains with solubles, produced from sorghum, a sorghum-corn blend, and corn fed to growing pigs.

Authors:  P E Urriola; D Hoehler; C Pedersen; H H Stein; G C Shurson
Journal:  J Anim Sci       Date:  2009-04-24       Impact factor: 3.159

Review 6.  Board-invited review: the use and application of distillers dried grains with solubles in swine diets.

Authors:  H H Stein; G C Shurson
Journal:  J Anim Sci       Date:  2008-11-21       Impact factor: 3.159

Review 7.  Feed energy evaluation for growing pigs.

Authors:  D Y Kil; B G Kim; H H Stein
Journal:  Asian-Australas J Anim Sci       Date:  2013-09       Impact factor: 2.509

8.  Characterization of dietary energy in Swine feed and feed ingredients: a review of recent research results.

Authors:  D E Velayudhan; I H Kim; C M Nyachoti
Journal:  Asian-Australas J Anim Sci       Date:  2015-01       Impact factor: 2.509

  8 in total
  3 in total

Review 1.  Measures Matter-Determining the True Nutri-Physiological Value of Feed Ingredients for Swine.

Authors:  Gerald C Shurson; Yuan-Tai Hung; Jae Cheol Jang; Pedro E Urriola
Journal:  Animals (Basel)       Date:  2021-04-27       Impact factor: 2.752

2.  An automatically progressed computer-controlled simulated digestion system to predict digestible and metabolizable energy of unconventional plant protein meals for growing pigs.

Authors:  Zhongyuan Du; Yuming Wang; Mingqiang Song; Shuli Zeng; Lixiang Gao; Jiangtao Zhao; Feng Zhao
Journal:  Anim Nutr       Date:  2022-04-26

3.  Determination of in vitro dry matter, protein, and fiber digestibility and fermentability of novel corn coproducts for swine and ruminants.

Authors:  A Palowski; Z Yang; J Jang; T Dado; P E Urriola; G C Shurson
Journal:  Transl Anim Sci       Date:  2021-03-19
  3 in total

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