Literature DB >> 16361501

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

J D Nkrumah1, E K Okine, G W Mathison, K Schmid, C Li, J A Basarab, M A Price, Z Wang, S S Moore.   

Abstract

Residual feed intake (RFI) is the difference between the actual and expected feed intake of an animal based on its BW and growth rate over a specified period. The biological mechanisms underlying the variation in feed efficiency in animals with similar BW and growth rate are not well understood. This study determined the relationship of feedlot feed efficiency, performance, and feeding behavior with digestion and energy partitioning of 27 steers. The steers were selected from a total of 306 animals based on their RFI following feedlot tests at the University of Alberta Kinsella Research Station. Selected steers were ranked into high RFI (RFI > 0.5 SD above the mean, n = 11), medium RFI (RFI +/- 0.5 SD above and below the mean, n = 8), and low RFI (RFI < -0.5 SD below the mean, n = 8). The respective BW +/- SD for the RFI groups were 495.6 +/- 12.7, 529.1 +/- 18.6, and 501.2 +/- 15.5 kg. Digestibility and calorimetry trials were performed on a corn-or barley-based concentrate diet in yr 1 and 2, respectively, at 2.5 x maintenance requirements. Mean DMI (g/kg of BW(0.75)) during the measurements for high-, medium-, and low-RFI groups, respectively, were 82.7 +/- 2.0, 78.8 +/- 2.6, and 81.8 +/- 2.5 and did not differ (P > 0.10). Residual feed intake was correlated with daily methane production and energy lost as methane (r = 0.44; P < 0.05). Methane production was 28 and 24% less in low-RFI animals compared with high- and medium-RFI animals, respectively. Residual feed intake tended to be associated (P < 0.10) with apparent digestibilities of DM (r = -0.33) and CP (r = -0.34). The RFI of steers was correlated with DE (r = -0.41; P < 0.05), ME (r = -0.44; P < 0.05), heat production (HP; r = 0.68; P < 0.001), and retained energy (RE; r = -0.67; P < 0.001; energy values are expressed in kcal/kg of BW(0.75)). Feedlot partial efficiency of growth was correlated (P < 0.01) with methane production (r = -0.55), DE (r = 0.46), ME (r = 0.49), HP (r = -0.50), and RE (r = 0.62). With the exception of HP (r = 0.37; P < 0.05), feed conversion ratio was unrelated to the traits considered in the study. Feeding duration was correlated (P < 0.01) with apparent digestibility of DM (r = -0.55), CP (r = -0.47), methane production (r = 0.51), DE (r = -0.52), ME (r = -0.55), and RE (r = -0.60). These results have practical implications for the selection of animals that eat less at a similar BW and growth rate and for the environmental sustainability of beef production.

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Year:  2006        PMID: 16361501     DOI: 10.2527/2006.841145x

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


  77 in total

1.  Impact of feed efficiency and diet on adaptive variations in the bacterial community in the rumen fluid of cattle.

Authors:  Emma Hernandez-Sanabria; Laksiri A Goonewardene; Zhiquan Wang; Obioha N Durunna; Stephen S Moore; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2011-12-09       Impact factor: 4.792

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

Review 3.  Residual feed intake: a nutritional tool for genetic improvement.

Authors:  Leilson Rocha Bezerra; José Lindenberg Rocha Sarmento; Severino Gonzaga Neto; Ney Rômulo Oliveira de Paula; Ronaldo Lopes Oliveira; Wagner Martins Fontes do Rêgo
Journal:  Trop Anim Health Prod       Date:  2013-10-31       Impact factor: 1.559

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.  Microbial fuel cells and microbial ecology: applications in ruminant health and production research.

Authors:  Orianna Bretschger; Jason B Osterstock; William E Pinchak; Shun'ichi Ishii; Karen E Nelson
Journal:  Microb Ecol       Date:  2009-12-22       Impact factor: 4.552

6.  Feed efficiency, blood parameters, and ingestive behavior of young Nellore males and females.

Authors:  Sarah Figueiredo Martins Bonilha; Joslaine Noely dos Santos Gonçalves Cyrillo; Guilherme Pinheiro dos Santos; Renata Helena Branco; Enilson Geraldo Ribeiro; Maria Eugênia Zerlotti Mercadante
Journal:  Trop Anim Health Prod       Date:  2015-07-04       Impact factor: 1.559

7.  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

8.  Residual feed intake as a feed efficiency selection tool and its relationship with feed intake, performance and nutrient utilization in Murrah buffalo calves.

Authors:  Bisitha Kattiparambil Subhashchandra Bose; Shivlal Singh Kundu; Nguyen Thi Be Tho; Vijay Kumar Sharma; Umesh Balaji Sontakke
Journal:  Trop Anim Health Prod       Date:  2014-02-23       Impact factor: 1.559

9.  Rumen methanogenic genotypes differ in abundance according to host residual feed intake phenotype and diet type.

Authors:  Ciara A Carberry; Sinéad M Waters; Sinead M Waters; David A Kenny; Christopher J Creevey
Journal:  Appl Environ Microbiol       Date:  2013-11-08       Impact factor: 4.792

10.  Assessment of the microbial ecology of ruminal methanogens in cattle with different feed efficiencies.

Authors:  Mi Zhou; Emma Hernandez-Sanabria; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2009-08-28       Impact factor: 4.792

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