Literature DB >> 15318746

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

J D Nkrumah1, J A Basarab, M A Price, E K Okine, A Ammoura, S Guercio, C Hansen, C Li, B Benkel, B Murdoch, S S Moore.   

Abstract

Residual feed intake (RFI) has been proposed as an index for determining beef cattle energetic efficiency. Although the relationship of RFI with feed conversion ratio (FCR) is well established, little is known about how RFI compares to other measures of efficiency. This study examined the phenotypic relationships among different measures of energetic efficiency with growth, feed intake, and ultrasound and carcass merit of hybrid cattle (n = 150). Dry matter intake, ME intake (MEI), ADG, metabolic weight (MWT), and FCR during the test averaged 10.29 kg/d (SD = 1.62), 1,185.45 kJ/(kg0.75 x d) (SD = 114.69), 1.42 kg/d (SD = 0.25), 86.67 kg0.75 (SD = 10.21), and 7.27 kg of DM/kg of gain (SD = 1.00), respectively. Residual feed intake averaged 0.00 kg/d and ranged from -2.25 kg/d (most efficient) to 2.61 kg/d (least efficient). Dry matter intake (r = 0.75), MEI (r = 0.83), and FCR (r = 0.62) were correlated with RFI (P < 0.001) and were higher for animals with high (>0.5 SD) RFI vs. those with medium (+/-0.5 SD) or low (<0.5 SD) RFI (P < 0.001). Partial efficiency of growth (PEG; energetic efficiency for ADG) was correlated with RFI (r = -0.89, P < 0.001) and was lower (P < 0.001) for high- vs. medium- or low-RFI animals. However, RFI was not related to ADG (r = -0.03), MWT (r = -0.02), relative growth rate (RGR; growth relative to instantaneous body size; r = -0.04), or Kleiber ratio (KR; ADG per unit of MWT; r = -0.004). Also, DMI was correlated (P < 0.01) with ADG (r = 0.66), MWT (r = 0.49), FCR (r = 0.49), PEG (r = -0.52), RGR (r = 0.18), and KR (r = 0.36). Additionally, FCR was correlated (P < 0.001) with ADG (r = -0.63), PEG (r = -0.83), RGR (r = -0.75), and KR (r = -0.73), but not with MWT (r = 0.07). Correlations of measures of efficiency with ultrasound or carcass traits generally were not different from zero except for correlations of RFI, FCR, and PEG, respectively, with backfat gain (r = 0.30, 0.20, and -0.30), ultrasound backfat (r = 0.19, 0.21, and -0.25), grade fat (r = 0.25, 0.19, and -0.27), lean meat yield (r = -0.22, -0.18, and 0.24), and yield grade (r = 0.28, 0.24, and -0.25). These phenotypic relationships indicate that, compared with other measures of energetic efficiency, RFI should have a greater potential to improve overall production efficiency and PEG above maintenance, and lead to minimal correlated changes in carcass merit without altering the growth and body size of different animals.

Entities:  

Mesh:

Year:  2004        PMID: 15318746     DOI: 10.2527/2004.8282451x

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


  20 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.  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

3.  Association of residual feed intake with growth performance, carcass traits, meat quality, and blood variables in native chickens.

Authors:  Lei Yang; Xiaolong Wang; Tingting He; Fengliang Xiong; Xianzhen Chen; Xingyong Chen; Sihua Jin; Zhaoyu Geng
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

Review 4.  Application of Genetic, Genomic and Biological Pathways in Improvement of Swine Feed Efficiency.

Authors:  Pourya Davoudi; Duy Ngoc Do; Stefanie M Colombo; Bruce Rathgeber; Younes Miar
Journal:  Front Genet       Date:  2022-06-09       Impact factor: 4.772

5.  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

6.  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

7.  Identification of genomic regions associated with feed efficiency in Nelore cattle.

Authors:  Priscila S N de Oliveira; Aline S M Cesar; Michele L do Nascimento; Amália S Chaves; Polyana C Tizioto; Rymer R Tullio; Dante P D Lanna; Antonio N Rosa; Tad S Sonstegard; Gerson B Mourao; James M Reecy; Dorian J Garrick; Maurício A Mudadu; Luiz L Coutinho; Luciana C A Regitano
Journal:  BMC Genet       Date:  2014-09-26       Impact factor: 2.797

8.  Reducing GHG emissions through genetic improvement for feed efficiency: effects on economically important traits and enteric methane production.

Authors:  J A Basarab; K A Beauchemin; V S Baron; K H Ominski; L L Guan; S P Miller; J J Crowley
Journal:  Animal       Date:  2013-06       Impact factor: 3.240

9.  Genetic diversity of tyrosine hydroxylase (TH) and dopamine β-hydroxylase (DBH) genes in cattle breeds.

Authors:  Diana Lelidett Lourenco-Jaramillo; Ana María Sifuentes-Rincón; Gaspar Manuel Parra-Bracamonte; Xochitl Fabiola de la Rosa-Reyna; Aldo Segura-Cabrera; Williams Arellano-Vera
Journal:  Genet Mol Biol       Date:  2012-06-23       Impact factor: 1.771

10.  Association of residual feed intake with growth and slaughtering performance, blood metabolism, and body composition in growing lambs.

Authors:  Xiaoxue Zhang; Weimin Wang; Futao Mo; Yongfu La; Chong Li; Fadi Li
Journal:  Sci Rep       Date:  2017-10-04       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.