Literature DB >> 33674822

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

Camila Delveaux Araujo Batalha1, Luís Orlindo Tedeschi2, Fabiana Lana de Araújo3, Renata Helena Branco1, Joslaine Noely Dos Santos Gonçalves Cyrillo1, Sarah Figueiredo Martins Bonilha1.   

Abstract

Data of comparative slaughter were used to determine Nellore bulls' net energy requirements classified as efficient or inefficient according to residual feed intake (RFI) and selection lines (SL). Sixty-seven Nellore bulls from the selected (SE) and control (CO) lines of the selection program for postweaning weight gain were used. The animals underwent digestibility trials before being submitted to the finishing trial. Sixteen bulls were slaughtered at the beginning of the finishing trial, and their body composition was used as the baseline for the remaining animals. For body composition determinations, whole empty body components were weighed, ground, and subsampled for chemical analyses. Initial body composition was determined with equations developed from the baseline group using shrunk body weight, fat, and protein. The low RFI (LRFI) and CO animals had a lower dry matter (DMI) and nutrient intake (P < 0.05) than high RFI (HRFI) and SE animals, without alterations in digestibility coefficients (P > 0.05). During the finishing trial, DMI remained lower for LRFI and CO animals. Growth performance was similar between RFI classes, except for empty body weight gain that tended to be higher for LRFI than HRFI (P = 0.091). The SE animals had less fat content on the empty body (P = 0.005) than CO. Carcasses tended to be leaner for LRFI than HRFI (P = 0.080) and for SE than CO (P = 0.066) animals. LRFI animals retained more energy (P = 0.049) and had lower heat production (HP; P = 0.033) than the HRFI ones. Retained energy was not influenced by SL (P = 0.165), but HP tended to be higher for SE when compared to CO (P = 0.075) animals. Net energy requirement for maintenance (NEm) was lower for LRFI than HRFI (P = 0.009), and higher for SE than CO (P = 0.046) animals. There was an interaction tendency between RFI and SL (P = 0.063), suggesting that NEm was lower for LRFI+CO than HRFI+CO (P = 0.006), with no differences for SE (P = 0.527) animals. The efficiency of ME utilization for maintenance (km) of LRFI and HRFI animals were 62.6% and 58.4%, respectively, and for SE and CO were 59.0% and 62.1%, respectively. The breeding program for postweaning weight has not improved feed efficiency over the years, with RFI classification not being a promising selection tool for SE animals. Classification based on RFI seems to be useful in animals that have not undergone the breeding program, with LRFI animals having lower energy requirements than the HRFI ones.
© The Author(s) 2021. 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:  beef cattle; energy requirement; feed efficiency; growth; maintenance

Mesh:

Year:  2021        PMID: 33674822      PMCID: PMC8034416          DOI: 10.1093/jas/skab067

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


  21 in total

1.  Growth, carcass quality, and protein and energy metabolism in beef cattle with different growth potentials and residual feed intakes.

Authors:  F C P Castro Bulle; P V Paulino; A C Sanches; R D Sainz
Journal:  J Anim Sci       Date:  2006-12-18       Impact factor: 3.159

2.  RAPID COMMUNICATION: Residual feed intake in beef cattle is associated with differences in protein turnover and nutrient transporters in ruminal epithelium.

Authors:  Ahmed A Elolimy; Emad Abdel-Hamied; Liangyu Hu; Joshua C McCann; Daniel W Shike; Juan J Loor
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

3.  Physiological basis for residual feed intake.

Authors:  R M Herd; P F Arthur
Journal:  J Anim Sci       Date:  2008-11-21       Impact factor: 3.159

4.  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

Review 5.  Review: Biological determinants of between-animal variation in feed efficiency of growing beef cattle.

Authors:  G Cantalapiedra-Hijar; M Abo-Ismail; G E Carstens; L L Guan; R Hegarty; D A Kenny; M McGee; G Plastow; A Relling; I Ortigues-Marty
Journal:  Animal       Date:  2018-08-24       Impact factor: 3.240

Review 6.  BOARD-INVITED REVIEW: Efficiency of converting digestible energy to metabolizable energy and reevaluation of the California Net Energy System maintenance requirements and equations for predicting dietary net energy values for beef cattle.

Authors:  M L Galyean; N A Cole; L O Tedeschi; M E Branine
Journal:  J Anim Sci       Date:  2016-04       Impact factor: 3.159

7.  Direct and correlated responses to selection for yearling weight on reproductive performance of Nelore cows.

Authors:  M E Z Mercadante; I U Packer; A G Razook; J N S G Cyrillo; L A Figueiredo
Journal:  J Anim Sci       Date:  2003-02       Impact factor: 3.159

8.  Consistency of feed efficiency ranking and mechanisms associated with inter-animal variation among growing calves.

Authors:  A Asher; A Shabtay; M Cohen-Zinder; Y Aharoni; J Miron; R Agmon; I Halachmi; A Orlov; A Haim; L O Tedeschi; G E Carstens; K A Johnson; A Brosh
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

9.  Residual feed intake in beef cattle and its association with carcass traits, ruminal solid-fraction bacteria, and epithelium gene expression.

Authors:  Ahmed A Elolimy; Mohamed K Abdelmegeid; Joshua C McCann; Daniel W Shike; Juan J Loor
Journal:  J Anim Sci Biotechnol       Date:  2018-09-24
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  1 in total

1.  How much energetic trade-offs limit selection? Insights from livestock and related laboratory model species.

Authors:  Frédéric Douhard; Mathieu Douhard; Hélène Gilbert; Philippe Monget; Jean-Michel Gaillard; Jean-François Lemaître
Journal:  Evol Appl       Date:  2021-11-28       Impact factor: 5.183

  1 in total

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