Literature DB >> 23989865

Relationship between feed intake, feeding behaviors, performance, and ultrasound carcass measurements in growing purebred Angus and Hereford bulls.

W Kayser1, R A Hill.   

Abstract

The objectives of this study were to examine the growth, DMI, and feeding behaviors of Angus and Hereford bulls; identify the relationships between feeding behaviors and variation in DMI and residual feed intake (RFI); and determine the value of feeding behaviors in predicting DMI. Individual DMI was measured in Angus bulls (n=189; initial BW=427±3.4 kg) and Hereford bulls (n=146; initial BW=411±4.1 kg) fed a grower ration for 71 d in 2009, 78 d in 2010, and 74 d in 2011 using a GrowSafe intake monitoring system. Feeding frequency (FF, meals/d), head down duration (HDD, s/d), head down duration per meal (HDDM, HDD/FF, s/meal), average meal size [AMS, kg/(meal·d)], and feeding rate (FR, g/s) were also measured or calculated using behavior data collected by the GrowSafe system. Ultrasound measures of 12th-rib fat thickness (UFT), longissimus muscle area (ULMA), and intramuscular fat (IMF) were determined during the midtest-weight event of every trial. The data from 3 yr were pooled to generate mean differences between the breeds. Residual feed intake was calculated using a linear regression of DMI on ADG and midtest BW0.75 (MMWT). Animals were classified into 3 RFI groups based on their RFI score as Low (>0.5 SD below the mean), Average (±0.5 SD from the mean), or High RFI (>0.5 SD above the mean). Angus bulls in the Low RFI group consumed 17% (P<0.0001) less DM than the bulls in the High RFI group, while in the Hereford bulls there was a 14% (P<0.0001) difference in DMI between Low and High RFI groups. Significant phenotypic correlations were observed between RFI and DMI (0.83, 0.77), G:F (-0.65, -0.51), HDD (0.41, 0.59), HDDM (0.40, 0.53), AMS (0.52, 0.36), and FR (-0.31, -0.51) in Angus and Hereford bulls, respectively. The HDD, HDDM, and FR were significantly correlated with DMI. The feeding behavior traits, HDD, HDDM, and FR when added to the RFI base model, explained 18, 17, and 13%, respectively, of the variation in DMI not explained by ADG and MMWT in Angus bulls. Similarly, in Hereford bulls, HDD, HDDM, and FR explained 35, 26, and 24%, respectively, of the variation in DMI not explained by ADG and MMWT. These data suggest that feeding behaviors are related to DMI of growing Angus and Hereford bulls.

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Year:  2013        PMID: 23989865     DOI: 10.2527/jas.2013-6611

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


  10 in total

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

Authors:  Jocelyn R Johnson; Gordon E Carstens; Wimberly K Krueger; Phillip A Lancaster; Erin G Brown; Luis O Tedeschi; Robin C Anderson; Kristen A Johnson; Arieh Brosh
Journal:  J Anim Sci       Date:  2019-07-30       Impact factor: 3.159

2.  Characterization of feeding behavior traits in steers with divergent residual feed intake consuming a high-concentrate diet.

Authors:  Ira L Parsons; Jocelyn R Johnson; William C Kayser; Luis O Tedeschi; Gordon E Carstens
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

3.  Feed efficiency and carcass metrics in growing cattle1.

Authors:  David N Kelly; Craig Murphy; Roy D Sleator; Michelle M Judge; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

4.  Efficacy of statistical process control procedures to identify deviations in continuously measured physiologic and behavioral variables in beef steers experimentally challenged with Mannheimia haemolytica.

Authors:  William C Kayser; Gordon E Carstens; Ira L Parsons; Kevin E Washburn; Sara D Lawhon; William E Pinchak; Eric Chevaux; Andrew L Skidmore
Journal:  J Anim Sci       Date:  2020-02-01       Impact factor: 3.159

5.  Efficacy of statistical process control procedures to identify deviations in continuously measured physiological and behavioral variables in beef heifers resulting from an experimentally combined viral-bacterial challenge.

Authors:  William Christian Kayser; Gordon E Carstens; Ira Loyd Parsons; Kevin E Washburn; Sara D Lawhon; William E Pinchak; Eric Chevaux; Andrew L Skidmore
Journal:  J Anim Sci       Date:  2021-09-01       Impact factor: 3.338

6.  Impact of selection for residual feed intake on production traits and behavior of mule ducks.

Authors:  L Drouilhet; R Monteville; C Molette; M Lague; A Cornuez; L Canario; E Ricard; H Gilbert
Journal:  Poult Sci       Date:  2016-06-22       Impact factor: 3.352

7.  Effect of milk feeding strategy and lactic acid probiotics on growth and behavior of dairy calves fed using an automated feeding system1.

Authors:  Melissa C Cantor; Amy L Stanton; David K Combs; Joao H C Costa
Journal:  J Anim Sci       Date:  2019-03-01       Impact factor: 3.159

8.  Effects of temperament at feedlot arrival and breed type on growth efficiency, feeding behavior, and carcass value in finishing heifers.

Authors:  Cameron A Olson; Gordon E Carstens; Andy D Herring; Daniel S Hale; William C Kayser; Rhonda K Miller
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

9.  Evaluation of statistical process control procedures to monitor feeding behavior patterns and detect onset of bovine respiratory disease in growing bulls.

Authors:  William C Kayser; Gordon E Carstens; Kirby S Jackson; William E Pinchak; Amarnath Banerjee; Yu Fu
Journal:  J Anim Sci       Date:  2019-03-01       Impact factor: 3.159

10.  Effects of combined viral-bacterial challenge with or without supplementation of Saccharomyces cerevisiae boulardii strain CNCM I-1079 on immune upregulation and DMI in beef heifers.

Authors:  William Christian Kayser; Gordon E Carstens; Kevin E Washburn; Thomas H Welsh; Sara D Lawhon; Sanjay M Reddy; William E Pinchak; Eric Chevaux; Andrew L Skidmore
Journal:  J Anim Sci       Date:  2019-03-01       Impact factor: 3.159

  10 in total

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