Literature DB >> 19028857

Physiological basis for residual feed intake.

R M Herd1, P F Arthur.   

Abstract

Residual feed intake (RFI) is a measure of feed efficiency that is independent of level of production, such as size and growth rate in beef cattle, and thus is a useful new trait for studying the physiological mechanisms underlying variation in feed efficiency. Five major physiological processes are likely to contribute to variation in RFI, these being processes associated with intake of feed, digestion of feed, metabolism (anabolism and catabolism associated with and including variation in body composition), physical activity, and thermoregulation. Studies on Angus steers following divergent selection for RFI estimated that heat production from metabolic processes, body composition, and physical activity explained 73% of the variation in RFI. The proportions of variation in RFI that these processes explain are protein turnover, tissue metabolism and stress (37%); digestibility (10%); heat increment and fermentation (9%); physical activity (9%); body composition (5%); and feeding patterns (2%). Other studies in cattle and studies in poultry similarly found these processes to be important in explaining RFI. The physiological mechanisms identified so far are based on very few studies, some of which have small sample sizes. The genomic basis to variation in these physiological processes remains to be determined. Early studies have shown many hundred genes to be associated with differences in RFI, perhaps in hindsight not surprising given the diversity of physiological processes involved. Further research is required to better understand the mechanisms responsible for the variation in RFI in target populations and to marry the physiological information with molecular genetics information that will become the basis for commercial tests for genetically superior animals.

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Year:  2008        PMID: 19028857     DOI: 10.2527/jas.2008-1345

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


  87 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.  A Genome-Wide Association Study on Feed Efficiency Related Traits in Landrace Pigs.

Authors:  Lu Fu; Yao Jiang; Chonglong Wang; Mengran Mei; Ziwen Zhou; Yifan Jiang; Hailiang Song; Xiangdong Ding
Journal:  Front Genet       Date:  2020-07-03       Impact factor: 4.599

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.  Enhanced mitochondrial complex gene function and reduced liver size may mediate improved feed efficiency of beef cattle during compensatory growth.

Authors:  Erin E Connor; Stanislaw Kahl; Theodore H Elsasser; Joel S Parker; Robert W Li; Curtis P Van Tassell; Ransom L Baldwin; Scott M Barao
Journal:  Funct Integr Genomics       Date:  2009-09-24       Impact factor: 3.410

5.  Genetic parameters of feed efficiency traits in laying period of chickens.

Authors:  Jingwei Yuan; Taocun Dou; Meng Ma; Guoqiang Yi; Sirui Chen; Lujiang Qu; Manman Shen; Liang Qu; Kehua Wang; Ning Yang
Journal:  Poult Sci       Date:  2015-05-25       Impact factor: 3.352

6.  Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle1.

Authors:  Robert M Herd; Jose I Velazco; Helen Smith; Paul F Arthur; Brad Hine; Hutton Oddy; Robin C Dobos; Roger S Hegarty
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

7.  Relationship between feed efficiency and slaughter traits of French Charolais bulls.

Authors:  Sébastien Taussat; Romain Saintilan; Daniel Krauss; David Maupetit; Marie-Noëlle Fouilloux; Gilles Renand
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

Review 8.  CELL BIOLOGY SYMPOSIUM: METABOLIC RESPONSES TO STRESS: FROM ANIMAL TO CELL: Poor maternal nutrition during gestation: effects on offspring whole-body and tissue-specific metabolism in livestock species1,2.

Authors:  Kristen E Govoni; Sarah A Reed; Steven A Zinn
Journal:  J Anim Sci       Date:  2019-07-02       Impact factor: 3.159

9.  Using a system of differential equations that models cattle growth to uncover the genetic basis of complex traits.

Authors:  Mateus Castelani Freua; Miguel Henrique de Almeida Santana; Ricardo Vieira Ventura; Luis Orlindo Tedeschi; José Bento Sterman Ferraz
Journal:  J Appl Genet       Date:  2017-04-05       Impact factor: 3.240

10.  Development and validation of a small SNP panel for feed efficiency in beef cattle.

Authors:  M K Abo-Ismail; N Lansink; E Akanno; B K Karisa; J J Crowley; S S Moore; E Bork; P Stothard; J A Basarab; G S Plastow
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

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