Literature DB >> 8294275

Genetic and statistical properties of residual feed intake.

B W Kennedy1, J H van der Werf, T H Meuwissen.   

Abstract

Residual feed intake is defined as the difference between actual feed intake and that predicted on the basis of requirements for production and maintenance of body weight. Formulas were developed to obtain genetic parameters of residual feed intake from knowledge of the genetic and phenotypic parameters of the component traits. Genetic parameters of residual feed intake were determined for a range of heritabilities (h2 = .1, .3, or .5) for component traits of feed intake and production, and genetic (rg = .1, .5, or .9) and environmental (re = .1, .5, or .9) correlations between them. Resulting heritability of residual feed intake ranged from .03 to .84 and the genetic correlation between residual feed intake and production ranged from -.90 to .87. Heritability of residual feed intake depends considerably on the environmental correlation between feed intake and production. Residual feed intake based on phenotypic regression of feed intake on production usually contains a genetic component due to production. Residual feed intake based on genotypic regression of feed intake on production is genetically independent of production and its use is equivalent to use of a selection index restricted to hold production constant. Multiple-trait selection on residual feed intake, based on either phenotypic or genetic regressions, and production is equivalent to multiple-trait selection on feed intake and production. Residual energy intake in dairy cattle was examined as an example. Heritability of residual energy intake based on genotypic regression was close to zero and indicated that measurement of feed intake provides little additional genetic information over and above that provided by milk production and body weight. The principles outlined in this study have broader application than just to residual feed intake and apply to any trait that is defined as a linear function of other traits.

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Year:  1993        PMID: 8294275     DOI: 10.2527/1993.71123239x

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


  45 in total

1.  Constraints on smallholder market oriented dairy systems in the north eastern coastal region of Tanzania.

Authors:  R Nkya; B M Kessy; Z C Lyimo; B S J Msangi; F Turuka; K Mtenga
Journal:  Trop Anim Health Prod       Date:  2007-12       Impact factor: 1.559

Review 2.  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

3.  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

4.  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

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.  Reducing the period of data collection for intake and gain to improve response to selection for feed efficiency in beef cattle.

Authors:  Richard Mark Thallman; Larry A Kuehn; Warren M Snelling; Kelli J Retallick; Jennifer M Bormann; Harvey C Freetly; Kristen E Hales; Gary L Bennett; Robert L Weaber; Daniel W Moser; Michael D MacNeil
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

7.  Characterization of water intake and water efficiency in beef cattle1,2.

Authors:  Cashley M Ahlberg; Kristi Allwardt; Ashley Broocks; Kelsey Bruno; Alexandra Taylor; Levi Mcphillips; Clint R Krehbiel; Michelle Calvo-Lorenzo; Chris J Richards; Sara E Place; Udaya Desilva; Deborah L Vanoverbeke; Raluca G Mateescu; Larry A Kuehn; Robert Weaber; Jennifer Bormann; Megan M Rolf
Journal:  J Anim Sci       Date:  2019-12-17       Impact factor: 3.159

8.  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

9.  Impact of reduced marker set estimation of genomic relationship matrices on genomic selection for feed efficiency in Angus cattle.

Authors:  Megan M Rolf; Jeremy F Taylor; Robert D Schnabel; Stephanie D McKay; Matthew C McClure; Sally L Northcutt; Monty S Kerley; Robert L Weaber
Journal:  BMC Genet       Date:  2010-04-19       Impact factor: 2.797

10.  Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs.

Authors:  R M Godinho; R Bergsma; F F Silva; C A Sevillano; E F Knol; M S Lopes; P S Lopes; J W M Bastiaansen; S E F Guimarães
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

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