Articles

Selection for residual feed intake in pigs: impacts on production traits and challenges for pork production

Abstract

Improving feed efficiency remains a challenge for pork production. The usual measure in herds is feed conversion ratio that quantifies the economic efficiency of feed use for animal growth. Residual Feed Intake (RFI) has been proposed as an alternative measure, independent of production traits, in the 1960’s. This paper reviews the research in two divergent lines selected for RFI at INRA, the low RFI line with pigs eating less than predicted from the production and maintenance requirements, i.e. more efficient, and the high RFI line eating more than predicted for its less efficient requirements,. These studies show that selection for RFI in growing pigs is possible with a limited impact on production and sow reproduction. However, technological meat quality is unfavourably affected by selection and a control of the impacts of selection for feed efficiency on this trait is necessary, as well as for nutritional requirements of most efficient pigs. Finally, the pig’s ability to respond to stressors or various breeding conditions was not affected by selection, unlike that hypothesized by the sources allocation theory applied to livestock species. The challenges for pig production to continue improving feed efficiency in a changing context for livestock production are discussed.


 

Authors


H. GILBERT

helene.gilbert@inra.fr

Affiliation : 1 GenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, 31320, Castanet-Tolosan, France

Country : France


Y. BILLON

Affiliation : 2 GenESI, INRA le Magneraud, 17700, Surgères, France

Country : France


L. BROSSARD

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


J. FAURE

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


P. GATELLIER

Affiliation : 4 INRA QuaPA, 63122, Saint-Genès-Champanelle, France

Country : France


F. GONDRET

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


E. LABUSSIÈRE

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


B. LEBRET

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


L. LEFAUCHEUR

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


N. LE FLOCH

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


I. LOUVEAU

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


E. MERLOT

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


M.-C. MEUNIER-SALAÜN

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


L. MONTAGNE

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


P. MORMÈDE

Affiliation : 1 GenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, 31320, Castanet-Tolosan, France

Country : France


D. RENAUDEAU

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


J. RIQUET

Affiliation : 1 GenPhySE, Université de Toulouse, INRA, INPT, INP-ENVT, 31320, Castanet-Tolosan, France

Country : France


C. ROGEL-GAILLARD

Affiliation : 5 GABI, AgroParisTech, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France

Country : France


J. VAN MILGEN

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


A. VINCENT

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France


J. NOBLET

Affiliation : 3 PEGASE, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France

Country : France

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