Literature DB >> 31175808

Associations between residual feed intake and apparent nutrient digestibility, in vitro methane-producing activity, and volatile fatty acid concentrations in growing beef cattle1.

Jocelyn R Johnson1, Gordon E Carstens1, Wimberly K Krueger1, Phillip A Lancaster2, Erin G Brown3, Luis O Tedeschi1, Robin C Anderson4, Kristen A Johnson5, Arieh Brosh6.   

Abstract

The objectives of this study were to examine the relationship between residual feed intake (RFI) and DM and nutrient digestibility, in vitro methane production, and volatile fatty acid (VFA) concentrations in growing beef cattle. Residual feed intake was measured in growing Santa Gertrudis steers (Study 1; n = 57; initial BW = 291.1 ± 33.8 kg) and Brangus heifers (Study 2; n = 468; initial BW = 271.4 ± 26.1 kg) fed a high-roughage-based diet (ME = 2.1 Mcal/kg DM) for 70 d in a Calan-gate feeding barn. Animals were ranked by RFI based on performance and feed intake measured from day 0 to 70 (Study 1) or day 56 (Study 2) of the trial, and 20 animals with the lowest and highest RFI were identified for subsequent collections of fecal and feed refusal samples for DM and nutrient digestibility analysis. In Study 2, rumen fluid and feces were collected for in vitro methane-producing activity (MPA) and VFA analysis in trials 2, 3, and 4. Residual feed intake classification did not affect BW or BW gain (P > 0.05), but low-RFI steers and heifers both consumed 19% less (P < 0.01) DMI compared with high-RFI animals. Steers with low RFI tended (P < 0.1) to have higher DM digestibility (DMD) compared with high-RFI steers (70.3 vs. 66.5 ± 1.6% DM). Heifers with low RFI had 4% higher DMD (76.3 vs. 73.3 ± 1.0% DM) and 4 to 5% higher (P < 0.01) CP, NDF, and ADF digestibility compared with heifers with high RFI. Low-RFI heifers emitted 14% less (P < 0.01) methane (% GE intake; GEI) calculated according to Blaxter and Clapperton (1965) as modified by Wilkerson et al. (1995), and tended (P = 0.09) to have a higher rumen acetate:propionate ratio than heifers with high RFI (GEI = 5.58 vs. 6.51 ± 0.08%; A:P ratio = 5.02 vs. 4.82 ± 0.14%). Stepwise regression analysis revealed that apparent nutrient digestibilities (DMD and NDF digestibility) for Study 1 and Study 2 accounted for an additional 8 and 6%, respectively, of the variation in intake unaccounted for by ADG and mid-test BW0.75. When DMD, NDF digestibility, and total ruminal VFA were added to the base model for Study 2, trials 2, 3, and 4, the R2 increased from 0.33 to 0.47, explaining an additional 15% of the variation in DMI unrelated to growth and body size. On the basis of the results of these studies, differences in observed phenotypic RFI in growing beef animals may be a result of inter-animal variation in apparent nutrient digestibility and ruminal VFA concentrations.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  cattle efficiency; digestibility; forage; methane; residual feed intake; volatile fatty acid

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Year:  2019        PMID: 31175808      PMCID: PMC6667254          DOI: 10.1093/jas/skz195

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


  28 in total

Review 1.  Molecular basis for residual feed intake in beef cattle.

Authors:  S S Moore; F D Mujibi; E L Sherman
Journal:  J Anim Sci       Date:  2008-10-24       Impact factor: 3.159

2.  Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle.

Authors:  J D Nkrumah; E K Okine; G W Mathison; K Schmid; C Li; J A Basarab; M A Price; Z Wang; S S Moore
Journal:  J Anim Sci       Date:  2006-01       Impact factor: 3.159

3.  Linkage of microbial ecology to phenotype: correlation of rumen microbial ecology to cattle's feed efficiency.

Authors:  Le Luo Guan; Joshua D Nkrumah; John A Basarab; Stephen S Moore
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Authors:  G D Cruz; J A Rodríguez-Sánchez; J W Oltjen; R D Sainz
Journal:  J Anim Sci       Date:  2009-09-11       Impact factor: 3.159

Review 5.  Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition.

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6.  Grass silage intake, rumen and blood variables, ultrasonic and body measurements, feeding behavior, and activity in pregnant beef heifers differing in phenotypic residual feed intake.

Authors:  P Lawrence; D A Kenny; B Earley; D H Crews; M McGee
Journal:  J Anim Sci       Date:  2011-05-27       Impact factor: 3.159

7.  Cattle selected for lower residual feed intake have reduced daily methane production.

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8.  Characterization of feed efficiency traits and relationships with feeding behavior and ultrasound carcass traits in growing bulls.

Authors:  P A Lancaster; G E Carstens; F R B Ribeiro; L O Tedeschi; D H Crews
Journal:  J Anim Sci       Date:  2008-11-07       Impact factor: 3.159

9.  Different measures of energetic efficiency and their phenotypic relationships with growth, feed intake, and ultrasound and carcass merit in hybrid cattle.

Authors:  J D Nkrumah; J A Basarab; M A Price; E K Okine; A Ammoura; S Guercio; C Hansen; C Li; B Benkel; B Murdoch; S S Moore
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10.  Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle.

Authors:  J D Nkrumah; J A Basarab; Z Wang; C Li; M A Price; E K Okine; D H Crews; S S Moore
Journal:  J Anim Sci       Date:  2007-05-25       Impact factor: 3.159

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Review 2.  Nutritional Modulation, Gut, and Omics Crosstalk in Ruminants.

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3.  A Combination of Novel Microecological Agents and Molasses Role in Digestibility and Fermentation of Rice Straw by Facilitating the Ruminal Microbial Colonization.

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Journal:  Front Microbiol       Date:  2022-07-14       Impact factor: 6.064

4.  Animals selected for postweaning weight gain rate have similar maintenance energy requirements regardless of their residual feed intake classification.

Authors:  Camila Delveaux Araujo Batalha; Luís Orlindo Tedeschi; Fabiana Lana de Araújo; Renata Helena Branco; Joslaine Noely Dos Santos Gonçalves Cyrillo; Sarah Figueiredo Martins Bonilha
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  4 in total

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