Literature DB >> 2166734

Steam-rolled wheat diets for finishing cattle: effects of dietary roughage and feed intake on finishing steer performance and ruminal metabolism.

K K Kreikemeier1, D L Harmon, R T Brandt, T G Nagaraja, R C Cochran.   

Abstract

Two experiments were conducted to determine the influence of dietary roughage concentration and feed intake on finishing steer performance and ruminal metabolism. In Exp. 1, 126 steers (334 kg) were used in a completely randomized design and fed (120 d) diets of steam-rolled wheat without roughage or containing 5, 10 or 15% roughage (50% alfalfa hay:50% corn silage). Steers fed 5 or 10% roughage gained faster (quadratic, P less than .05) and were more efficient (quadratic, P less than .05) than steers fed 15% or no roughage. In Exp. 2, six ruminally cannulated steers (447 kg) were used in a 6 x 6 latin square design and fed (twice daily) diets of steam-rolled wheat without roughage or containing 5 or 15% alfalfa hay at twice or three times NE required for maintenance. Increasing dietary roughage increased (linear, P less than .01) ruminal liquid passage 38%, indigestible ADF passage 63%, Yb-labeled wheat passage 75% and fiber fill 31%. The rate of in situ starch digestion tended to increase (linear, P = .16), and ruminal VFA concentration was 40 mM higher (P less than .01) at 4 h after feeding with increased roughage. Increased feed intake increased (P less than .05) ruminal starch fill, fiber fill, liquid fill and liquid passage 23%, Yb-labeled wheat passage 50% and Dry-labeled hay passage 20%. It reduced protozoa five- to sixfold (P less than .01) but doubled total bacterial counts (P less than .01). Ruminal NH3N was lower (P less than .01) and total VFA concentration was 50 mM higher (P less than .01) at 4 h after feeding. The acetate:propionate ratio was reduced from 2.3 to 1.3 (P less than .01) with increased intake. Adding roughage to a steam-rolled wheat diet increased passage and tended to increase rate of starch digestion; increased feed intake with its associated effects on ruminal fill and passage dramatically shifted the microbial population and fermentation end products.

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Year:  1990        PMID: 2166734     DOI: 10.2527/1990.6872130x

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


  5 in total

1.  Effects of source and concentration of neutral detergent fiber from roughage in beef cattle diets on feed intake, ingestive behavior, and ruminal kinetics.

Authors:  Rodrigo S Goulart; Ricardo A M Vieira; Joao L P Daniel; Rafael C Amaral; Vanessa P Santos; Sergio G Toledo Filho; Edward H Cabezas-Garcia; Luis O Tedeschi; Luiz G Nussio
Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

2.  Impacts of added roughage on growth performance, digestibility, ruminal fermentation, and ruminal pH of feedlot steers fed wheat-based feedlot diets containing 30% modified distillers grains with solubles.

Authors:  Wayde J Pickinpaugh; Bryan W Neville; Rebecca L Moore; Joel S Caton
Journal:  Transl Anim Sci       Date:  2022-05-12

3.  Flake density and starch retrogradation influence in situ ruminal degradability characteristics of steam-flaked corn and predicted starch digestibility and energetic efficiency.

Authors:  Ronald J Trotta; Kelly K Kreikemeier; Randy F Royle; Todd Milton; David L Harmon
Journal:  J Anim Sci       Date:  2021-11-01       Impact factor: 3.338

4.  Enteric methane emissions, growth, and carcass characteristics of feedlot steers fed a garlic- and citrus-based feed additive in diets with three different forage concentrations.

Authors:  Bryce Bitsie; Andrea M Osorio; Darren D Henry; Breno C Silva; Leticia A Godoi; Chanadol Supapong; Tassilo Brand; Jon P Schoonmaker
Journal:  J Anim Sci       Date:  2022-05-01       Impact factor: 3.338

5.  The Contribution of Mathematical Modeling to Understanding Dynamic Aspects of Rumen Metabolism.

Authors:  André Bannink; Henk J van Lingen; Jennifer L Ellis; James France; Jan Dijkstra
Journal:  Front Microbiol       Date:  2016-11-23       Impact factor: 5.640

  5 in total

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