P. J. Boettcher, J. Fatehi, and M. M. Schutz, Genotype??Environment Interactions in Conventional versus Pasture-Based Dairies in Canada, Journal of Dairy Science, vol.86, issue.1, pp.383-389, 2003.
DOI : 10.3168/jds.S0022-0302(03)73617-0

M. P. Calus, J. J. Windig, and R. F. Veerkamp, Associations Among Descriptors of Herd Management and Phenotypic and Genetic Levels of Health and Fertility, Journal of Dairy Science, vol.88, issue.6, pp.2178-2189, 2005.
DOI : 10.3168/jds.S0022-0302(05)72893-9

M. J. Carabaño, K. M. Wade, L. D. Van, and . Vleck, Genotype by Environment Interactions for Milk and Fat Production Across Regions of the United States, Journal of Dairy Science, vol.73, issue.1, pp.173-180, 1990.
DOI : 10.3168/jds.S0022-0302(90)78661-4

E. G. Cienfuegos-rivas, P. A. Oltenacu, R. W. Blake, S. J. Schwager, H. Castillo-juarez et al., Interaction Between Milk Yield of Holstein Cows in Mexico and the United States, Journal of Dairy Science, vol.82, issue.10, pp.2218-2223, 1999.
DOI : 10.3168/jds.S0022-0302(99)75468-8

B. Escoffier and J. Pagès, Multiple factor analysis (AFMULT package), Computational Statistics & Data Analysis, vol.18, issue.1, pp.121-140, 1994.
DOI : 10.1016/0167-9473(94)90135-X

W. F. Fikse, R. Rekaya, and K. A. , Assessment of environmental descriptors for studying genotype by environment interaction, Livestock Production Science, vol.82, issue.2-3, pp.223-231, 2003.
DOI : 10.1016/S0301-6226(03)00009-5

W. J. Fulkerson, T. M. Davison, S. C. Garcia, G. Hough, M. E. Goddard et al., Holstein-Friesian Dairy Cows Under a Predominantly Grazing System: Interaction Between Genotype and Environment, Journal of Dairy Science, vol.91, issue.2, pp.826-839, 2008.
DOI : 10.3168/jds.2007-0147

H. Hammami, H. Rekik, C. Soyeurt, J. Bastin, N. Stoll et al., Genotype ?? Environment Interaction for Milk Yield in Holsteins Using Luxembourg and Tunisian Populations, Journal of Dairy Science, vol.91, issue.9, pp.3661-3671, 2008.
DOI : 10.3168/jds.2008-1147

J. A. Hartigan and M. A. Wong, Algorithm AS 136: A Kmeans clustering algorithm, J. R. Stat. Soc. Ser. C Appl. Stat, vol.28, pp.100-108, 1979.

M. J. Haskell, S. Brotherstone, A. B. Lawrence, and I. M. White, Characterization of the Dairy Farm Environment in Great Britain and the Effect of the Farm Environment on Cow Life Span, Journal of Dairy Science, vol.90, issue.11, pp.5316-5323, 2007.
DOI : 10.3168/jds.2006-865

. Interbull, Description of National Genetic Evaluation Systems for dairy cattle traits as applied in different Interbull member countries, 2011.

J. F. Kearney, M. M. Schutz, P. J. Boettcher, and K. A. , Genotype ?? Environment Interaction for Grazing Versus Confinement. I. Production Traits, Journal of Dairy Science, vol.87, issue.2, pp.501-509, 2004.
DOI : 10.3168/jds.S0022-0302(04)73189-6

M. Koivula, J. I. Nousiainen, J. Nousiainen, and E. A. Mäntysaari, Use of Herd Solutions from a Random Regression Test-Day Model for Diagnostic Dairy Herd Management, Journal of Dairy Science, vol.90, issue.5, pp.2563-2568, 2007.
DOI : 10.3168/jds.2006-517

H. Leclerc, D. Duclos, A. Barbat, T. Druet, and V. Ducrocq, Environmental effects on lactation curves included in a test-day model genetic evaluation, animal, vol.76, issue.03, pp.344-353, 2008.
DOI : 10.1016/0301-6226(87)90002-9

H. Leclerc, I. Nagy, and V. Ducrocq, Impact of using reduced rank random regression test-day model on genetic evaluation, Interbull Meeting Interbull Bull, vol.40, pp.42-46, 2009.

P. Mayeres, J. Stoll, J. Bormann, R. Reents, and N. Gengler, Prediction of Daily Milk, Fat, and Protein Production by a Random Regression Test-Day Model, Journal of Dairy Science, vol.87, issue.6, pp.1925-1933, 2004.
DOI : 10.3168/jds.S0022-0302(04)73351-2

K. Meyer, WOMBAT???A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML), Journal of Zhejiang University SCIENCE B, vol.8, issue.11, pp.815-821, 2007.
DOI : 10.1631/jzus.2007.B0815

J. M. Ojango and G. E. Pollott, The relationship between Holstein bull breeding values for milk yield derived in both the UK and Kenya, Livestock Production Science, vol.74, issue.1, pp.1-12, 2002.
DOI : 10.1016/S0301-6226(01)00282-2

R. 1. Huquet, B. Leclerc, H. Ducrocq, and V. , Characterization of French dairy farm environments from herd-test-day profiles, Journal of Dairy Science, vol.95, issue.7, pp.4085-4098, 2012.
DOI : 10.3168/jds.2011-5001
URL : https://hal.archives-ouvertes.fr/hal-00999970

M. Koivula, J. Nousiainen, J. Nousiainen, and E. Mäntysaari, Use of Herd Solutions from a Random Regression Test-Day Model for Diagnostic Dairy Herd Management, Journal of Dairy Science, vol.90, issue.5, pp.2563-2568, 2007.
DOI : 10.3168/jds.2006-517

B. Escofier and J. Pagès, Multiple factor analysis (AFMULT package), Computational Statistics & Data Analysis, vol.18, issue.1, pp.121-140, 1994.
DOI : 10.1016/0167-9473(94)90135-X

L. Schaeffer, Multiple-Country Comparison of Dairy Sires, Journal of Dairy Science, vol.77, issue.9, pp.2671-2678, 1994.
DOI : 10.3168/jds.S0022-0302(94)77209-X

K. Weigel and R. Rekaya, A Multiple-Trait Herd Cluster Model for International Dairy Sire Evaluation, Journal of Dairy Science, vol.83, issue.4, pp.815-821, 2000.
DOI : 10.3168/jds.S0022-0302(00)74944-7

B. Bonaiti, Interaction génotype milieu sur la productionlaitì ere chez les bovins II.-Corrélation génétique entre niveaux de production et variation de l'héritabilité, Ann Genet Sel Animal, vol.14, pp.441-452, 1982.

E. Raffrenato, R. Blake, P. Oltenacu, J. Carvalheira, and G. Licitra, Genotype by Environment Interaction for Yield and Somatic Cell Score with Alternative Environmental Definitions, Journal of Dairy Science, vol.86, issue.7, pp.2470-2479, 2003.
DOI : 10.3168/jds.S0022-0302(03)73841-7

H. Castillo-juarez, P. Oltenacu, R. Blake, C. Mcculloch, and E. Cienfuegos-rivas, Effect of Herd Environment on the Genetic and Phenotypic Relationships Among Milk Yield, Conception Rate, and Somatic Cell Score in Holstein Cattle, Journal of Dairy Science, vol.83, issue.4, pp.807-814, 2000.
DOI : 10.3168/jds.S0022-0302(00)74943-5

M. Haile-mariam, M. Carrick, and M. Goddard, Genotype by Environment Interaction for Fertility, Survival, and Milk Production Traits in Australian Dairy Cattle, Journal of Dairy Science, vol.91, issue.12, pp.4840-4853, 2008.
DOI : 10.3168/jds.2008-1084

M. Cerón-muñoz, H. Tonhati, C. Costa, D. Rojas-sarmiento, E. Echeverri et al., Factors that Cause Genotype by Environment Interaction and Use of a Multiple-Trait Herd-Cluster Model for Milk Yield of Holstein Cattle from Brazil and Colombia, Journal of Dairy Science, vol.87, issue.8, pp.2687-2692, 2004.
DOI : 10.3168/jds.S0022-0302(04)73395-0

K. Weigel, R. Rekaya, N. Zwald, and W. Fikse, International Genetic Evaluation of Dairy Sires Using a Multiple-Trait Model with Individual Animal Performance Records, Journal of Dairy Science, vol.84, issue.12, pp.2789-2795, 2001.
DOI : 10.3168/jds.S0022-0302(01)74734-0

J. Ojango and G. Pollott, The relationship between Holstein bull breeding values for milk yield derived in both the UK and Kenya, Livestock Production Science, vol.74, issue.1, pp.1-12, 2002.
DOI : 10.1016/S0301-6226(01)00282-2

H. Hammami, B. Rekik, H. Soyeurt, C. Bastin, J. Stoll et al., Genotype ?? Environment Interaction for Milk Yield in Holsteins Using Luxembourg and Tunisian Populations, Journal of Dairy Science, vol.91, issue.9, pp.3661-3671, 2008.
DOI : 10.3168/jds.2008-1147

B. Hayes, M. Carrick, P. Bowman, and M. Goddard, Genotype??Environment Interaction for Milk Production of Daughters of Australian Dairy Sires from Test-Day Records, Journal of Dairy Science, vol.86, issue.11, pp.3736-3744, 2003.
DOI : 10.3168/jds.S0022-0302(03)73980-0

J. Windig, M. Calus, B. Beerda, and R. Veerkamp, Genetic Correlations Between Milk Production and Health and Fertility Depending on Herd Environment, Journal of Dairy Science, vol.89, issue.5, pp.1765-1775, 2006.
DOI : 10.3168/jds.S0022-0302(06)72245-7

A. Cromie, D. Kelleher, F. Gordan, and M. Rath, Genotype by environment interaction for milk production traits in Holstein-Friesian dairy cattle in Ireland, Interbull Bull, vol.17, pp.100-104, 1998.

W. Fulkerson, T. Davison, S. Garcia, G. Hough, M. Goddard et al., Holstein-Friesian Dairy Cows Under a Predominantly Grazing System: Interaction Between Genotype and Environment, Journal of Dairy Science, vol.91, issue.2, pp.826-839, 2008.
DOI : 10.3168/jds.2007-0147

D. Berry, F. Buckley, P. Dillon, R. Evans, M. Rath et al., Genetic Parameters for Body Condition Score, Body Weight, Milk Yield, and Fertility Estimated Using Random Regression Models, Journal of Dairy Science, vol.86, issue.11, pp.3704-3717, 2003.
DOI : 10.3168/jds.S0022-0302(03)73976-9

D. Veer, J. , V. Vleck, and L. , Genetic Parameters for First Lactation Milk Yields at Three Levels of Herd Production, Journal of Dairy Science, vol.70, issue.7, pp.1434-1441, 1987.
DOI : 10.3168/jds.S0022-0302(87)80166-2

H. Castillo-juarez, P. Oltenacu, and E. Cienfuegos-rivas, Genetic and phenotypic relationships among milk production and composition traits in primiparous Holstein cows in two different herd environments, Livestock Production Science, vol.78, issue.3, pp.223-231, 2002.
DOI : 10.1016/S0301-6226(02)00098-2

W. Fikse, R. Rekaya, and K. Weigel, Assessment of environmental descriptors for studying genotype by environment interaction. Livest Production Sci, pp.223-231, 2003.

M. Calus and R. Veerkamp, Estimation of Environmental Sensitivity of Genetic Merit for Milk Production Traits Using a Random Regression Model, Journal of Dairy Science, vol.86, issue.11, pp.3756-3764, 2003.
DOI : 10.3168/jds.S0022-0302(03)73982-4

R. Kolmodin, Reaction norms for the study of genotype by environment interaction in animal breeding, 2003.

C. 5. Discussion, . I. Les, and . Bibliographie, Note Indexation BovineLaitì ere : La prise en compte des variances hétérog` enes dans l'indexationlaitì ere, p.91, 1999.

. Juin, Note Indexation BovineLaitì ere : La prise en compte des variances hétérogènes dans l'´ evaluation génétique de la morphologie, p.91

. Février, Note Indexation BovineLaitì ere : L'ISU 2012 des raceslaitì eres nationales, p.127

. Agridea, Sélection vacheslaitì eres

. Agroparistech, Les races bovines françaises

B. Bapst, M. Bär, . Bio, . Suisse, and S. Svkb, La valeur d'´ elevage globalé ecologique (VEGE) Un grand pas vers la sélection d'une vache bio, 2001.

G. Barbin, M. Chaumet, J. , P. Chotteau, C. Guesdon et al., FranceLaitì ere 2015, Vers une accentuation des contrastes régionaux, 2009.

M. Berducat, Capteurs et echnologies au service de l'elevage de précision, 2007.

D. P. Berry, F. Buckley, P. Dillon, R. D. Evans, M. Rath et al., Genetic Parameters for Body Condition Score, Body Weight, Milk Yield, and Fertility Estimated Using Random Regression Models, Journal of Dairy Science, vol.86, issue.11, pp.86-3704, 2003.
DOI : 10.3168/jds.S0022-0302(03)73976-9

S. Blöttner, B. J. Heins, M. Wensch-dorendorf, L. B. Hansen, and H. H. Swalve, Short communication: A comparison between purebred Holstein and Brown Swiss ?? Holstein cows for milk production, somatic cell score, milking speed, and udder measurements in the first 3 lactations, Journal of Dairy Science, vol.94, issue.10, pp.94-5212
DOI : 10.3168/jds.2011-4255

L. Bodin, G. Bolet, M. Garcia, H. Garreau, C. Larzul et al., Robustesse et canalisation : vision de généticiens, INRA Productions Animales, vol.23, issue.23, pp.11-22, 2010.

B. Bonaiti, Interaction génotype milieu sur la productionlaitì ere chez les bovins II.- Corrélation génétique entre niveaux de production et variation de l'héritabilité. Pages 441?452 of, Annales de Génétique et de Sélection Animale, p.91, 1982.

M. Bougoin and P. Le-mezec, Le croisement entre raceslaitì eres en France vu par les bases de données. Page 464 of : Rencontre Recherche Ruminants, p.22, 2010.

G. E. Box, G. M. Jenkins, and G. C. Reinsel, Time series analysis, p.75, 1976.
DOI : 10.1002/9781118619193

P. Brunschwig, S. Picard, and . Ballot, (juillet) Observatoire de l'alimentation des vacheslaitì eres

F. Buckley, P. Dillon, M. Rath, and R. F. Veerkamp, The Relationship Between Genetic Merit for Yield and Live Weight, Condition Score, and Energy Balance of Spring Calving Holstein Friesian Dairy Cows on Grass Based Systems of Milk Production, Journal of Dairy Science, vol.83, issue.8, pp.1878-1886, 2000.
DOI : 10.3168/jds.S0022-0302(00)75060-0

M. P. Calus, Estimation of genotype * environment interaction for yield, health and fertility in dairy cattle, p.31, 2006.

M. P. Calus and R. F. Veerkamp, Estimation of Environmental Sensitivity of Genetic Merit for Milk Production Traits Using a Random Regression Model, Journal of Dairy Science, vol.86, issue.11, pp.3756-3764, 2003.
DOI : 10.3168/jds.S0022-0302(03)73982-4

M. P. Calus, A. F. Groen, and G. De-jong, Genotype ?? Environment Interaction for Protein Yield in Dutch Dairy Cattle as Quantified by Different Models, Journal of Dairy Science, vol.85, issue.11, pp.3115-3123, 2002.
DOI : 10.3168/jds.S0022-0302(02)74399-3

M. J. Carabaño, L. D. Van-vleck, G. R. Wiggans, and R. Alenda, Estimation of genetic parameters for milk and fat yields of dairy cattle, 1989.

M. J. Carabaño, K. M. Wade, and L. D. Van-vleck, Genotype by Environment Interactions for Milk and Fat Production Across Regions of the United States, Journal of Dairy Science, vol.73, issue.1, pp.173-180, 1990.
DOI : 10.3168/jds.S0022-0302(90)78661-4

H. Castillo-juarez, P. A. Oltenacu, R. W. Blake, C. E. Mcculloch, and E. G. Cienfuegos-rivas, Effect of Herd Environment on the Genetic and Phenotypic Relationships Among Milk Yield, Conception Rate, and Somatic Cell Score in Holstein Cattle, Journal of Dairy Science, vol.83, issue.4, pp.807-814, 2000.
DOI : 10.3168/jds.S0022-0302(00)74943-5

H. Castillo-juarez, P. A. Oltenacu, and E. G. Cienfuegos-rivas, Genetic and phenotypic relationships among milk production and composition traits in primiparous BIBLIOGRAPHIE Holstein cows in two different herd environments. Livestock production science, pp.78-223, 2002.

M. F. Cerón-muñoz, H. Tonhati, C. N. Costa, D. Rojas-sarmiento, and D. M. Echeverri-echeverri, Factors that Cause Genotype by Environment Interaction and Use of a Multiple-Trait Herd-Cluster Model for Milk Yield of Holstein Cattle from Brazil and Colombia, Journal of Dairy Science, vol.87, issue.8, pp.2687-2692, 2004.
DOI : 10.3168/jds.S0022-0302(04)73395-0

M. F. Cerón-muñoz, H. Tonhati, C. N. Costa, J. Maldonado-estrada, and D. Rojas-sarmiento, Genotype??Environment Interaction for Age at First Calving in Brazilian and Colombian Holsteins, Journal of Dairy Science, vol.87, issue.8, pp.2455-2458, 2004.
DOI : 10.3168/jds.S0022-0302(04)73369-X

P. Charagu and R. Peterson, Estimates of GxE effects for economic efficiency among daughters of Canadian and New Zealand sires in Canadian and New Zealand dairy herds, Interbull Bulletin, vol.17, issue.17, pp.105-109, 1998.

T. Charroin, R. Palazon, Y. Madeline, A. Guillaumin, and E. Tchakerian, Le système d'information des Réseaux d'Elevage françaises sur l'approche globale de l'exploitation, 2005.

V. Chatellier and A. Pflimlin, Les systèmes laitiers des régions européennes de l'Espace Atlantique, Eléments de réflexionréflexionéconomique complémentaire au projet « Green Dairy ». In : Colloque « systèmes laitiers et environnement dans l'espace Atlantique, 2007.

V. Chatellier, F. Colson, F. Arnaud, J. C. Guesdon, M. Kempf et al., La diversité des systèmes d'´ elevage bovin en France et leur contributionàcontribution`contributionà la production de viande bovine, INRA Prod. Anim, vol.10, issue.3, pp.227-240, 1997.

E. G. Cienfuegos-rivas, P. A. Oltenacu, R. W. Blake, S. J. Schwager, H. Castillo-juarez et al., Interaction Between Milk Yield of Holstein Cows in Mexico and the United States, Journal of Dairy Science, vol.82, issue.10, pp.82-2218, 1999.
DOI : 10.3168/jds.S0022-0302(99)75468-8

A. Conté, Quelle vache pour quel système ? RéussirLait, pp.114-115, 2011.

A. Cromie, . Kelleher, . Dl, F. Gordan, and M. Rath, Genotype by environment interaction for milk production traits in Holstein-Friesian dairy cattle in Ireland, Proceedings INTERBULL open management, pp.18-19, 1998.

E. Cutullic, L. Delaby, Y. Gallard, and C. Disenhaus, L'effet de la stratégie d'alimentation sur la reproduction des vacheslaitì eres varie selon la race et les différentes phases du cycle de reproduction, Rencontre Recherche Ruminants, vol.17, p.83, 2010.

I. David, F. Bouvier, D. François, J. P. Poivey, and L. Tiphine, Heterogeneity of variance components for preweaning growth in Romane sheep due to the number of lambs reared, Genetics Selection Evolution, vol.43, issue.1, pp.32-92, 2011.
DOI : 10.1186/1297-9686-29-2-225

G. De-saint-vaury, Réflexion et témoignage d'´ eleveur. Pages 49?50 of : Journées techniques Elevage Biologique : Sélection Animale, Diversité Génétique & Agriculture Biologique. Institut Technique de l'Agriculture Biologique, p.20, 2010.

D. Veer, J. C. Van-vleck, and L. D. , Genetic Parameters for First Lactation Milk Yields at Three Levels of Herd Production, Journal of Dairy Science, vol.70, issue.7, pp.1434-1441, 1987.
DOI : 10.3168/jds.S0022-0302(87)80166-2

B. Dedieu, P. Faverdin, J. Y. Dourmad, and A. Gibon, Système d'´ elevage, un concept pour raisonner les transformations de l'´ elevage, INRA Productions animales, vol.21, issue.1, pp.45-57, 2008.

D. Delignì-eres, Analyse des séries temporelles, 2007.

S. Den?i´den?i´c, N. Mladenov, and B. Kobiljski, Effects of genotype and environment on breadmaking quality in wheat, International Journal of Plant Production, vol.5, pp.71-82, 2011.

J. Dodenhoff and H. H. Swalve, Heterogeneity of variances across regions of northern Germany and adjustment in genetic evaluation, Livestock Production Science, vol.53, issue.3, pp.225-236, 1998.
DOI : 10.1016/S0301-6226(97)00129-2

M. Dufumier, Les projets de développement agricole : Manuel d'expertise. KAR- THALA Editions, p.18, 1996.

E. Supérieure-d, Agriculture d'Angers. http://www.groupe-esa.com/ projet-ur-urse-quels-sont-les-types-genetiques-de-vache-laitiere-les-plus-adaptes-a kjsp, pp.14-2011

B. Escofier and J. Pagès, Analyses factorielles simples et multiples, p.48, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00382085

J. Fatehi, A. Stella, J. J. Shannon, and P. J. Boettcher, Genetic Parameters for Feet and Leg Traits Evaluated in Different Environments, Journal of Dairy Science, vol.86, issue.2, pp.661-666, 2003.
DOI : 10.3168/jds.S0022-0302(03)73644-3

W. F. Fikse, R. Rekaya, and K. A. Weigel, Assessment of environmental descriptors for studying genotype by environment interaction. Livestock production science, pp.223-231, 2003.

G. H. Freeman, Statistical methods for the analysis of genotype-environment interactions2, Heredity, vol.31, issue.3, pp.339-354, 1973.
DOI : 10.1038/hdy.1973.90

G. Freyer, S. König, B. Fischer, U. Bergfeld, and B. G. Cassell, Invited Review: Crossbreeding in Dairy Cattle From a German Perspective of the Past and Today, Journal of Dairy Science, vol.91, issue.10, pp.91-3725, 2008.
DOI : 10.3168/jds.2008-1287

M. Haile-mariam, M. J. Carrick, and M. E. Goddard, Genotype by Environment Interaction for Fertility, Survival, and Milk Production Traits in Australian Dairy Cattle, Journal of Dairy Science, vol.91, issue.12, 2008.
DOI : 10.3168/jds.2008-1084

J. B. Haldane, THE INTERACTION OF NATURE AND NURTURE, Annals of Eugenics, vol.15, issue.1, pp.197-205, 1946.
DOI : 10.1111/j.1469-1809.1946.tb02358.x

H. Hammami, Genotype by Environment Interaction for Production Traits of Holsteins Using Two Countries as Model : Luxembourg and Tunisia, Faculté universitaire des sciences agronomiques de Gembloux, p.150, 2009.

H. Hammami, B. Rekik, C. Bastin, H. Soyeurt, J. Bormann et al., Environmental sensitivity for milk yield in Luxembourg and Tunisian Holsteins by herd management level, Journal of Dairy Science, vol.92, issue.9, pp.92-4604, 2009.
DOI : 10.3168/jds.2008-1513

G. H. Hardarson, Is the modern high potential dairy cow suitable for organic farming conditions ? Acta Veterinaria Scandinavica, pp.63-85, 2002.

T. J. Hastie and R. J. Tibshirani, Generalized additive models, p.73, 1990.

B. Horan, P. Dillon, P. Faverdin, L. Delaby, F. Buckley et al., The Interaction of Strain of Holstein-Friesian Cows and Pasture-Based Feed Systems on Milk Yield, Body Weight, and Body Condition Score, Journal of Dairy Science, vol.88, issue.3, pp.1231-1243, 2005.
DOI : 10.3168/jds.S0022-0302(05)72790-9

B. Huquet, H. Leclerc, and V. Ducrocq, Montly milk records : the basis of a new valued extension service for an efficient management

B. Huquet, H. Leclerc, and V. Ducrocq, Valorisation des coproduits du modèle génétique basé sur les contrôlescontrôlesélémentaires pour améliorer les outils de conseil. Pages 23?26 of : Rencontre Recherche Ruminants, p.40, 2011.

M. A. Ibáñez, M. J. Carabaño, and R. Alenda, Identification of sources of heterogeneous residual and genetic variances in milk yield data from the Spanish Holstein-Friesian population and impact on genetic evaluation, Livestock Production Science, vol.59, issue.1, pp.33-49, 1999.
DOI : 10.1016/S0301-6226(99)00006-8

J. F. Kearney, M. M. Schutz, P. J. Boettcher, and K. A. Weigel, Genotype ?? Environment Interaction for Grazing Versus Confinement. I. Production Traits, Journal of Dairy Science, vol.87, issue.2, pp.501-509, 2004.
DOI : 10.3168/jds.S0022-0302(04)73189-6

J. F. Kearney, M. M. Schutz, and P. J. Boettcher, Genotype ?? Environment Interaction for Grazing vs. Confinement. II. Health and Reproduction Traits, Journal of Dairy Science, vol.87, issue.2, pp.510-516, 2004.
DOI : 10.3168/jds.S0022-0302(04)73190-2

S. König, G. Dietl, I. Raeder, and H. H. Swalve, Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions, Journal of Dairy Science, vol.88, issue.11, pp.4087-4096, 2005.
DOI : 10.3168/jds.S0022-0302(05)73093-9

M. Koivula, J. I. Nousiainen, J. Nousiainen, and E. A. M¨ntysaarim¨ntysaari, Use of Herd Solutions from a Random Regression Test-Day Model for Diagnostic Dairy Herd Management, Journal of Dairy Science, vol.90, issue.5, 2007.
DOI : 10.3168/jds.2006-517

R. Kolmodin, Reaction norms for the study of genotype by environment interaction in animal breeding, p.150, 2003.

R. Kolmodin, E. Strandberg, B. Danell, and H. Jorjani, Reaction norms for protein yield and days open in Swedish red and white dairy cattle in relation to various environmental variables, Acta Agriculturae Scandinavica, Section A - Animal Science, vol.52, issue.3, pp.139-151, 2004.
DOI : 10.3168/jds.S0022-0302(03)73684-4

E. S. Kolver, J. R. Roche, D. Veth, M. J. Thorne, P. L. Napper et al., Total mixed rations versus pasture diets : Evidence for a genotype x diet interaction in dairy cow performance, Proc. N, p.31, 2002.

D. Ladiray and B. Quenneville, Comprendre la méthode X11, Tech. rept. United States Census Bureau, 1999.

E. Landais, Les trois pôles des systèmes d'´ elevage. Les Cahiers de la Recherche Développement, p.18, 1992.

L. Dû and A. , Rélexion et témoignage d'´ eleveur : gestion de la sélection sur l'´ elevage. Pages 41?42 of : Journées techniques Elevage Biologique, 2010.

&. Génétique and . Biologique, Institut Technique de l'Agriculture Biologique, p.25

H. Leclerc, Mise en place de l'´ evaluation génétique sur les contrôlescontrôlesélémentaires en bovins laitiers et perspectives d'utilisation des résultats en appui technique, p.149, 2008.

H. Leclerc, A. Barbat-leterrier, and V. Ducrocq, Mise en place d'uné evaluation génétique sur les caractères laitiersàlaitiersà partir des performancesélémentairesperformancesélémentaires en remplacement des données lactation en race bovine. Pages 291?294 of : Rencontre Recherche Ruminants, p.40, 2009.

Z. K. Li, S. B. Yu, H. R. Lafitte, N. Huang, B. Courtois et al., QTL ??? environment interactions in rice. I. Heading date and plant height, TAG Theoretical and Applied Genetics, vol.108, issue.1, pp.141-153, 2003.
DOI : 10.1007/s00122-003-1401-2

L. and &. Dairynz, New Zealand Dairy Statistics 2009-10, p.22, 2010.

M. Lillehammer, B. J. Hayes, T. H. Meuwissen, and M. E. Goddard, Gene by environment interactions for production traits in Australian dairy cattle, Journal of Dairy Science, vol.92, issue.8, pp.92-4008, 2009.
DOI : 10.3168/jds.2008-1484

N. Lopez-villalobos, D. J. Garrick, C. W. Holmes, H. T. Blair, and R. J. Spelman, Effects of Selection and Crossbreeding Strategies on Industry Profit in the New Zealand Dairy Industry, Journal of Dairy Science, vol.83, issue.1, pp.164-172, 2000.
DOI : 10.3168/jds.S0022-0302(00)74867-3

C. Maltecca, A. Bagnato, and K. A. Weigel, Comparison of International Dairy Sire Evaluations from Meta-Analysis of National Estimated Breeding Values and Direct Analysis of Individual Animal Performance Records, Journal of Dairy Science, vol.87, issue.8, pp.2599-2605, 2004.
DOI : 10.3168/jds.S0022-0302(04)73385-8

S. Mccarthy, B. Horan, P. Dillon, P. O-'connor, M. Rath et al., Economic Comparison of Divergent Strains of Holstein-Friesian Cows in Various Pasture-Based Production Systems, Journal of Dairy Science, vol.90, issue.3, pp.1493-1505, 2007.
DOI : 10.3168/jds.S0022-0302(07)71635-1

S. Mccarthy, D. P. Berry, P. Dillon, M. Rath, and B. Horan, Influence of Holstein-Friesian Strain and Feed System on Body Weight and Body Condition Score Lactation Profiles, Journal of Dairy Science, vol.90, issue.4, pp.1859-1869, 2007.
DOI : 10.3168/jds.2006-501

B. T. Mcdaniel and E. L. Corley, Relationships Between Sire Evaluations at Different Herdmate Levels, Journal of Dairy Science, vol.50, issue.5, pp.735-741, 1967.
DOI : 10.3168/jds.S0022-0302(67)87503-9

B. Moreteau, J. P. Morin, P. Gibert, G. Pétavy, E. Pla et al., Evolutionary changes of nonlinear reaction norms according to thermal adaptation: a comparison of two Drosophila species, Comptes Rendus de l'Académie des Sciences-Series III-Sciences de la Vie, pp.320-833, 1997.
DOI : 10.1016/S0764-4469(97)85020-2

H. Mulder, Methods to optimize livestock breeding programs with genotype by environment interaction and genetic heterogeneity of environmental variance, p.143, 2007.

H. A. Mulder, A. F. Groen, G. De-jong, and P. Bijma, Genotype??Environment Interaction for Yield and Somatic Cell Score with Automatic and Conventional Milking Systems, Journal of Dairy Science, vol.87, issue.5, pp.1487-1495, 2004.
DOI : 10.3168/jds.S0022-0302(04)73300-7

W. J. Nauta, Selective Breeding in Organic Dairy Production, p.150, 2009.

W. J. Nauta, A. F. Groen, R. F. Veerkamp, D. Roep, and T. Baars, Animal breeding in organic dairy farming: an inventory of farmers' views and difficulties to overcome, NJAS - Wageningen Journal of Life Sciences, vol.53, issue.1, pp.19-34, 2005.
DOI : 10.1016/S1573-5214(05)80008-9

W. J. Bibliographie-nauta, R. F. Veerkamp, E. W. Brascamp, and H. Bovenhuis, Genotype by environment interaction for milk production traits between organic and conventional dairy cattle production in The Netherlands, J Dairy Sci, issue.7, pp.89-2729, 2006.

O. L. Brune and . Brune, lalaitì ere de demain, performances et atouts

F. Os-simmental, La race Simmental, aptitudes et performances

L. Padyukov, C. Silva, P. Stolt, L. Alfredsson, and L. Klareskog, A gene-environment interaction between smoking and shared epitope genes in HLA-DR provides a high risk of seropositive rheumatoid arthritis, Arthritis & Rheumatism, vol.5, issue.10, pp.50-3085, 2004.
DOI : 10.1002/art.20553

J. Pagès, Statistiques générales pour utilisateurs 1-Méthodologie. Presses Universitaires de Rennes, p.86, 2010.

V. Piccand, F. Schori, J. Troxler, M. Wanner, and P. Thomet, Quelle vache pour la pâture ? " : problématique et description de l'essai, Projet Recherche Agronomique Suisse, vol.2, issue.5, pp.200-205, 2011.

G. Postler, Der¨OkologischeDer¨ Der¨Okologische Gesamtzuchtwert 22 BIBLIOGRAPHIE Prim'Holstein France. La race Prim'Holstein, Kultur und Politiek, pp.16-22, 1998.

J. E. Pryce, B. L. Nielsen, R. F. Veerkamp, and G. Simm, Genotype and feeding system effects and interactions for health and fertility traits in dairy cattle, Livestock Production Science, vol.57, issue.3, pp.193-201, 1999.
DOI : 10.1016/S0301-6226(98)00180-8

E. Raffrenato, R. W. Blake, P. A. Oltenacu, J. Carvalheira, and G. Licitra, Genotype by Environment Interaction for Yield and Somatic Cell Score with Alternative Environmental Definitions, Journal of Dairy Science, vol.86, issue.7, pp.2470-2479, 2003.
DOI : 10.3168/jds.S0022-0302(03)73841-7

C. Robert, Etude de quelquesprobì emes liesàliesà la mise en oeuvre du REML en génétique quantitative, p.91, 1996.

C. Robert-granié, V. Ducrocq, and J. L. Foulley, Heterogeneity of variance for type traits in the Montbeliarde cattle breed, Genetics Selection Evolution, vol.29, issue.5, p.91, 1997.
DOI : 10.1186/1297-9686-29-5-545

C. Robert-granié, B. Bona¯-iti, D. Boichard, and A. Barbat, Accounting for variance heterogeneity in French dairy cattle genetic evaluation, Livestock Production Science, vol.60, issue.2-3, pp.343-357, 1999.
DOI : 10.1016/S0301-6226(99)00105-0

L. R. Schaeffer, Multiple-Country Comparison of Dairy Sires, Journal of Dairy Science, vol.77, issue.9, pp.2671-2678, 1994.
DOI : 10.3168/jds.S0022-0302(94)77209-X

S. M. Scheiner and R. F. Lyman, The genetics of phenotypic plasticity. II. Response to selection, Journal of Evolutionary Biology, vol.4, issue.1, pp.23-50, 1991.
DOI : 10.1046/j.1420-9101.1991.4010023.x
URL : https://hal.archives-ouvertes.fr/hal-00427086

S. M. Scheiner, Genetics and evolution of phenotypic plasticity. Annual review of ecology and systematics, pp.35-68, 1993.

S. M. Scheiner and R. F. Lyman, The genetics of phenotypic plasticity I. Heritability, Journal of Evolutionary Biology, vol.2, issue.2, pp.95-107, 1989.
DOI : 10.1046/j.1420-9101.1989.2020095.x

A. Schmid, A. Spengler-neff, and R. Pedotti, Les Grisons veulent adapter leurs vaches bio aux conditions locales. bio actualités, pp.10-11, 2010.

M. K. Sørensen, E. Norberg, J. Pedersen, and L. G. Christensen, Invited Review: Crossbreeding in Dairy Cattle: A Danish Perspective, Journal of Dairy Science, vol.91, issue.11, pp.91-4116, 2008.
DOI : 10.3168/jds.2008-1273

G. Steinheim, J. Ødegård, T. Adnøy, and G. Klemetsdal, Genotype by environment interaction for lamb weaning weight in two Norwegian sheep breeds, Journal of Animal Science, vol.86, issue.1, pp.33-39, 2008.
DOI : 10.2527/jas.2007-0031

E. Strandberg, R. Kolmodin, P. Madsen, J. Jensen, and H. Jorjani, Genotype by environment interaction in Nordic dairy cattle studied by use of reaction norms, Interbull Bull, vol.25, pp.41-45, 2000.

U. Tarentaise, La race Tarentaise, caractéristiques raciales

J. I. Urioste, D. Gianola, R. Rekaya, W. F. Fikse, and K. A. Weigel, Evaluation of extent and amount of heterogeneous variance for milk yield in Uruguayan Holsteins, 2001.

L. D. Van-vleck, M. C. Dong, and G. R. Wiggans, Genetic (Co) Variances for Milk and Fat Yield in California, New York, and Wisconsin for an Animal Model by Restricted Maximum Likelihood, Journal of Dairy Science, vol.71, issue.11, pp.71-3053, 1988.
DOI : 10.3168/jds.S0022-0302(88)79905-1

P. M. Vanraden and A. H. Sanders, Economic Merit of Crossbred and Purebred US Dairy Cattle, Journal of Dairy Science, vol.86, issue.3, pp.1036-1044, 2003.
DOI : 10.3168/jds.S0022-0302(03)73687-X

R. F. Veerkamp, P. Dillon, E. Kelly, A. R. Cromi, and A. F. Groen, Dairy cattle breeding objectives combining yield, survival and calving interval for pasture-based systems in Ireland under different milk quota scenarios, Livestock Production Science, vol.76, issue.1-2, pp.137-151, 2002.
DOI : 10.1016/S0301-6226(02)00006-4

S. Via, R. Gomulkiewicz, D. Jong, G. Scheiner, S. M. Schlichting et al., Adaptive phenotypic plasticity: consensus and controversy, Trends in Ecology & Evolution, vol.10, issue.5, pp.212-217, 1995.
DOI : 10.1016/S0169-5347(00)89061-8

K. A. Weigel and R. Rekaya, A Multiple-Trait Herd Cluster Model for International Dairy Sire Evaluation, Journal of Dairy Science, vol.83, issue.4, pp.815-821, 2000.
DOI : 10.3168/jds.S0022-0302(00)74944-7

K. A. Weigel, R. Rekaya, N. R. Zwald, and W. F. Fikse, International Genetic Evaluation of Dairy Sires Using a Multiple-Trait Model with Individual Animal Performance Records, Journal of Dairy Science, vol.84, issue.12, pp.2789-2795, 2001.
DOI : 10.3168/jds.S0022-0302(01)74734-0

H. C. Wicks and J. D. Leaver, Influence of genetic merit and environment on somatic cell counts of Holstein???Friesian cows, The Veterinary Journal, vol.172, issue.1, pp.52-57, 2006.
DOI : 10.1016/j.tvjl.2005.02.027

L. L. Wilson, W. H. Rishel, and W. R. Harvey, Influence of Herd, Sire and Herd ?? Sire Interactions on Live and Carcass Characters of Beef Cattle, Journal of Animal Science, vol.35, issue.3, pp.502-506, 1972.
DOI : 10.2527/jas1972.353502x

J. J. Windig, M. P. Calus, B. Beerda, and R. F. Veerkamp, Genetic Correlations Between Milk Production and Health and Fertility Depending on Herd Environment, Journal of Dairy Science, vol.89, issue.5, pp.1765-1775, 2006.
DOI : 10.3168/jds.S0022-0302(06)72245-7

R. L. Wu, Genetic control of macro-and micro-environmental sensitivities in Populus, Theoretical and Applied Genetics, vol.42, issue.1, pp.104-114, 1997.
DOI : 10.1007/s001220050388

N. R. Zwald, K. A. Weigel, W. F. Fikse, and R. Rekaya, Application of a multipletrait herd cluster model for genetic evaluation of dairy sires from seventeen countries, 2003.

B. Huquet, H. Leclerc, and V. Ducrocq, Modelling and estimation of genotype by environment interactions for production traits in French dairy cattle, Genetics Selection Evolution, vol.44, issue.1
DOI : 10.3168/jds.S0022-0302(03)73982-4
URL : https://hal.archives-ouvertes.fr/hal-01000914

B. Huquet, H. Leclerc, and V. Ducrocq, Characterization of French dairy farm environments from herd-test-day profiles, Journal of Dairy Science, vol.95, issue.7, pp.4085-4098
DOI : 10.3168/jds.2011-5001
URL : https://hal.archives-ouvertes.fr/hal-00999970

B. Huquet, H. Leclerc, and V. Ducrocq, Genotype by environment interactions when environments are defined from Herd-Test-Day profiles, 63rd annual meeting of the European Association for Animal Production, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01189860

B. Huquet, H. Leclerc, and V. Ducrocq, Performanceslaitì eres mensuelles : les valoriser au mieux dans un nouvel outil de conseil, 2011.

B. Huquet, H. Leclerc, and V. Ducrocq, Monthly milk records : the basis of a new valued extension service for an efficient management, ICAR (International Committee for Animal Recording) Annual Workshop, 2011.