Literature DB >> 21890504

Residual intake and body weight gain: a new measure of efficiency in growing cattle.

D P Berry1, J J Crowley.   

Abstract

Interest in improving feed efficiency in cattle is intensifying. Residual feed intake (RFI), which is the difference between expected intake and that predicted based on energy demands, is now the most commonly used measure of feed efficiency over a given time period. However, RFI, as commonly defined, is independent of growth rate, which may affect its acceptance by industry. Residual BW gain (RG) has also been proposed as a measure of feed efficiency and is represented as the residuals from a multiple regression model regressing ADG on both DMI and BW. In this study, we propose a new trait, residual intake and BW gain (RIG), which retains the favorable characteristic of both RFI and RG being independent of BW, but animals superior for RIG have, on average, both greater ADG and reduced DMI. Phenotypic and genetic analyses were undertaken on up to 2,605 purebred performance-tested bulls. Clear phenotypic differences in DMI and ADG existed between animals divergent for RIG. The heritability of RIG was 0.36 ± 0.06, which is consistent with the heritability estimates of RFI and other feed efficiency traits measured in the study. The RIG trait was both phenotypically and genetically negatively correlated with DMI and positively correlated with ADG; no correlation existed between RIG and BW. The advantages of both reduced daily DMI and greater ADG in animals superior for RIG are demonstrated compared with animals superior for either RFI or RG.

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Year:  2011        PMID: 21890504     DOI: 10.2527/jas.2011-4245

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


  35 in total

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Journal:  Trop Anim Health Prod       Date:  2013-11-15       Impact factor: 1.559

2.  Genetic and phenotypic associations of feed efficiency with growth and carcass traits in Australian Angus cattle.

Authors:  José Antonio Torres-Vázquez; Julius H J van der Werf; Samuel A Clark
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

3.  Performance, growth, and maturity of Nellore bulls.

Authors:  Luiz Fernando Costa e Silva; Sebastião de Campos Valadares Filho; Edenio Detmann; Polyana Pizzi Rotta; Diego Zanetti; Faider Alberto Castaño Villadiego; Samantha Gusmão Pellizzoni; Rafael Moura Guimarães Pereira
Journal:  Trop Anim Health Prod       Date:  2012-12-14       Impact factor: 1.559

4.  Non-genetic sources of variation and temporal variability in growth and feed efficiency traits among phylogenetically distinct clusters of indigenous chicken in Kenya.

Authors:  Sophie Miyumo; Alexander K Kahi; Chrilukovian B Wasike
Journal:  Trop Anim Health Prod       Date:  2016-08-25       Impact factor: 1.559

5.  Gene expression profiling reveals candidate genes related to residual feed intake in duodenum of laying ducks.

Authors:  T Zeng; L Huang; J Ren; L Chen; Y Tian; Y Huang; H Zhang; J Du; L Lu
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

6.  Evaluation of feed efficiency traits for genetic improvement in Japanese Black cattle.

Authors:  Masayuki Takeda; Yoshinobu Uemoto; Keiichi Inoue; Atsushi Ogino; Takayoshi Nozaki; Kazuhito Kurogi; Takanori Yasumori; Masahiro Satoh
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

7.  Using the difference in actual and expected calf liveweight relative to its dam liveweight as a statistic for interherd and intraherd benchmarking and genetic evaluations1.

Authors:  Noirin McHugh; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-12-17       Impact factor: 3.159

8.  Feed and production efficiency of young crossbred beef cattle stratified on a terminal total merit index.

Authors:  David N Kelly; Stephen B Conroy; Craig P Murphy; Roy D Sleator; Donagh P Berry
Journal:  Transl Anim Sci       Date:  2020-07-01

9.  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

10.  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

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