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Review: Towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes: I-selection goals and criteria

Published online by Cambridge University Press:  12 May 2016

F. Phocas ,
C. Belloc ,
J. Bidanel ,
L. Delaby ,
J. Y. Dourmad ,
B. Dumont ,
P. Ezanno ,
L. Fortun-Lamothe ,
G. Foucras  and
B. Frappat
...Show all authors
F. Phocas*
Affiliation:
GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
C. Belloc
Affiliation:
INRA, Oniris, LUNAM Université, UMR1300 BioEpAR, CS40706, 44307 Nantes, France
J. Bidanel
Affiliation:
IFIP-Institut du Porc, La Motte au Vicomte, 35650 Le Rheu, France
L. Delaby
Affiliation:
PEGASE, INRA, AgroCampus, 35590 Saint Gilles, France
J. Y. Dourmad
Affiliation:
PEGASE, INRA, AgroCampus, 35590 Saint Gilles, France
B. Dumont
Affiliation:
INRA, UMR1213 Herbivores, Theix, 63122 Saint Genès-Champanelle, France
P. Ezanno
Affiliation:
INRA, Oniris, LUNAM Université, UMR1300 BioEpAR, CS40706, 44307 Nantes, France
L. Fortun-Lamothe
Affiliation:
GenPhySE, INRA, INPT, Université de Toulouse, INP-ENSAT, INP-ENVT, 31326 Castanet-Tolosan, France
G. Foucras
Affiliation:
IHAP, INRA, INPT, Université de Toulouse, INP- ENVT, 31076 Toulouse, France
B. Frappat
Affiliation:
Institut de l’Elevage, 149 rue de Bercy, 75595 Paris, France
E. González-García
Affiliation:
INRA, UMR868, Systèmes d’Elevage Méditerranées et Tropicaux (SELMET), Montpellier 34060, France
D. Hazard
Affiliation:
GenPhySE, INRA, INPT, Université de Toulouse, INP-ENSAT, INP-ENVT, 31326 Castanet-Tolosan, France
C. Larzul
Affiliation:
GenPhySE, INRA, INPT, Université de Toulouse, INP-ENSAT, INP-ENVT, 31326 Castanet-Tolosan, France
S. Lubac
Affiliation:
Institut Technique de l’Aviculture, 23 rue Baldassini, 69 364 Lyon cedex 07, France
S. Mignon-Grasteau
Affiliation:
URA, INRA, 37380 Nouzilly, France
C. R. Moreno
Affiliation:
GenPhySE, INRA, INPT, Université de Toulouse, INP-ENSAT, INP-ENVT, 31326 Castanet-Tolosan, France
M. Tixier-Boichard
Affiliation:
GABI, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
M. Brochard
Affiliation:
Institut de l’Elevage, 149 rue de Bercy, 75595 Paris, France
*
† E-mail: [email protected]
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Abstract

Agroecology uses natural processes and local resources rather than chemical inputs to ensure production while limiting the environmental footprint of livestock and crop production systems. Selecting to achieve a maximization of target production criteria has long proved detrimental to fitness traits. However, since the 1990s, developments in animal breeding have also focussed on animal robustness by balancing production and functional traits within overall breeding goals. We discuss here how an agroecological perspective should further shift breeding goals towards functional traits rather than production traits. Breeding for robustness aims to promote individual adaptive capacities by considering diverse selection criteria which include reproduction, animal health and welfare, and adaptation to rough feed resources, a warm climate or fluctuating environmental conditions. It requires the consideration of genotype×environment interactions in the prediction of breeding values. Animal performance must be evaluated in low-input systems in order to select those animals that are adapted to limiting conditions, including feed and water availability, climate variations and diseases. Finally, we argue that there is no single agroecological animal type, but animals with a variety of profiles that can meet the expectations of agroecology. The standardization of both animals and breeding conditions indeed appears contradictory to the agroecological paradigm that calls for an adaptation of animals to local opportunities and constraints in weakly artificialized systems tied to their physical environment.

Keywords

livestockgenotype by environment interactionagroecologyorganic farminglow-input system
Type
Review Article
Information
animal , Volume 10 , Issue 11 , November 2016 , pp. 1749 - 1759
Copyright
© The Animal Consortium 2016 

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