Genotype-environment interaction between Chile and North America and between Chilean herd environmental categories for milk yield traits in Black and White cattle

• Autorzy: Montaldo H.H. , Castillo-Juarez H. , Lizana C. , Trejo C. , Cienfuegos-Rivas E. G. , Pelcastre-Cruz A.
• Języki publikacji: EN

Abstrakty

EN

In order to evaluate the expression of sire genetic evaluations obtained in North America for Chilean Black and White Cattle, genetic correlations were estimated for milk (MY), fat (FY) and protein (PY) yields, and for fat (F%) and protein (P%) contents between Chile, Canada and the US, from predicted transmitting abilities of common sires in two countries. Moreover, genetic correlations for the same traits were estimated between herd environmental categories formed according to MY levels, using bivariate analyses. Genetic correlation estimates for MY, FY, and PY between Chile-Canada (0.80, 0.61, and 0.70), and between Chile-US (0.79, 0.68, and 0.77), were lower than values obtained by simulation, assuming sire selection of the best 50%, and were also lower than the genetic correlations between Canada-USA, which were close to 1, suggesting a moderate genotype by country interaction. All genetic correlation estimates between countries for F% and P% were close to 1. No evidence of genotype-environment interaction was found for any trait between High and Low Chilean herd environmental categories based on MY, (genetic correlation estimates ≥0.96;not statistically different from 1). Results indicate that a single national dairy genetic improvement programme incorporating international evaluations could be implemented in southern Chile, rather than separate programmes for specific herd MY environments. Moderate genotype-environmental interaction between North American and Chilean environments was found for MY, FY, and PY.Results from across and within country analyses indicate that sire selection in North America for milk solids yield will produce relatively high correlated genetic responses for the southern Chile dairy production system characterized by grazing and a temperate climate.

Słowa kluczowe

EN

genotype-environment interaction; Chile; North America; herd; environmental category; milk yield; protein; milk protein; milk trait; Chilean Black and White breed; cattle; genetic correlation

• Wydawca: -
• Czasopismo: Animal Science Papers and Reports
• Rocznik: 2015
• Tom: 33
• Numer: 1
• Opis fizyczny: p.23-33,ref.

Twórcy

autor

Montaldo H.H.

• Department of Genetics and Biostatistics, School of Veterinary Medicine and Animal Husbandry, National Autonomous University of Mexico, Ciudad Universitaria, 04510, Distrito Federal, Mexico

autor

Castillo-Juarez H.

• Department of Agricultural and Animal Production, Autonomous Metropolitan University-Xochimilco, Calzada del Hueso 1100, 04960, Distrito Federal, Mexico

autor

Lizana C.

• Agriculture and Service Cooperative, Cooprinsem, Manuel Rodríguez 1040, Osorno, Region de Los Lagos, Chile

autor

Trejo C.

• Agriculture and Service Cooperative, Cooprinsem, Manuel Rodríguez 1040, Osorno, Region de Los Lagos, Chile

autor

Cienfuegos-Rivas E. G.

• Autonomous University of Tamaulipas, 87030, Ciudad Victoria, Tamaulipas, Mexico

autor

Pelcastre-Cruz A.

• Department of Genetics and Biostatistics, School of Veterinary Medicine and Animal Husbandry, National Autonomous University of Mexico, Ciudad Universitaria, 04510, Distrito Federal, Mexico

Bibliografia

• AKESSON M., BENSCH S., HASSELQUIST D., TARKA M., HANSSON B., 2008 – Estimating heritabilities and genetic correlations: Comparing the ‘animal model’ with parent-offspring regression using data from a natural population. Accessed Jul. 23, 2009. http://www.plosone.org/article/info:doi%2F10.1371%2Fjournal.pone.0001739.
• BOETTCHER P.J., FATEHI J., SCHUTZ M.M., 2003 – Genotype × environment interactions in conventional versus pasture-based dairies in Canada. Journal of Dairy Science 86, 383-389.
• BRYANT J.R., LÓPEZ-VILLALOBOS N., PRYCE J.E., HOLMES C.W., JOHNSON D.L.,GARRICK D.J., 2007 – Environmental sensitivity in New Zealand dairy cattle. Journal of Dairy Science 90, 1538–1547.
• CALO L.L., MCDOWELL R.E., VAN VLECK L.D., MILLER P.D., 1973 – Genetic aspects of beef production among Holstein-Friesians pedigree selected for milk production. Journal of Animal Science 37, 676-682.
• CASTILLO-JUAREZ H., OLTENACU P.A., CIENFUEGOS-RIVAS E.G., 2002 – Genetic and phenotypic relationships among milk production and composition traits in primiparous Holstein cows in two different herd environments. Livestock Production Science 78, 223-231.
• CDN, 2009 - Official Genetic Evaluations. Accessed Jan. 8, 2009. http://www.cdn.ca/files_ge_articles.php
• CHAUHAN V.P.S., HAYES J.F., 1991 – Genetic parameters traits for Holsteins for first lactation milk production and composition using multivariate restricted maximum likelihood. Journal of Dairy Science 74, 603-610.
• CIENFUEGOS-RIVAS E.G., OLTENACU P.A., BLAKE R.W., SCHAWEGER S.J., CASTILLOJUAREZ H., RUIZ F.J., 1999 – Interaction between milk yield of Holstein cows in Mexico and the United States. Journal of Dairy Science 82, 2218–2223.
• COSTA C.N., BLAKE R.W., POLLAK E.J., OLTENACU P.A., QUAAS R.L., SEARLE S.R., 2000 – Genetic analysis of Holstein cattle populations in Brazil and the United States. Journal of Dairy Science 83, 2963-2974.
• DÜRR J.W., JAKOBSEN J.H., 2009 – Country profiles regarding the use of imported dairy bulls. INTERBULL Bulletin 40, 259-266. Accessed Jul. 15, 2011.
• http://www-interbull.slu.se/bulletins/bulletin40/Durr.pdf.
• ELZO M.A., JARA A., BARRIA N., 2004 – Genetic parameters and trends in the Chilean multibreed dairy cattle population. Journal of Dairy Science 87, 1506–1518.
• GILMOUR A.R., GOGEL B.J., CULLIS B.R., THOMPSON R., 2009 – ASReml user guide. Release 3.0.VSN International Ltd, U.K.
• HILL W.G., 1984 – On selection among groups with heterogeneous variance. Animal Production 39, 473-477.
• ICAR 2013 – Yearly milk enquiry. International Committee for Animal Recording, Rome, Italy. Accessed May 29, 2013. http://www.survey-icar.org/cow_survey/Canada/043_main_breeds_cows,can1_interface/Results/results_page.asp.
• INTERBULL 2013 – Interbull Routine Genetic Evaluation for Dairy Production Traits. April 2013. International Bull Evaluation Service, Uppsala, Sweden. Accessed May 29, 2013. http://wwwinterbull.slu.se/eval/prod-appen1-131.pdf.
• JAMROZIK J., SCHAEFFER L.R., WEIGEL K.A., 2002 – Genetic evaluation of bulls and cows with single- and multiple-country test-day models. Journal of Dairy Science 85, 1617-1622.
• MARK T., 2004 – Applied genetic evaluations for production and functional traits in dairy cattle.Journal of Dairy Science 87, 2641-2652.
• MEYER, K., 1985 – Genetic parameters for dairy production of Australian Black and White cows.Livestock Production Science 12, 205-219.
• MONTALDO H.H., CASTILLO-JUÁREZ H., VALENCIA-POSADAS M., CIENFUEGOS-RIVAS E.G., RUIZ-LÓPEZ F.J., 2010 ̶ Genetic and environmental parameters for milk production, udder health, and fertility traits in Mexican Holstein cows. Journal of Dairy Science 93, 2168-2175.
• MONTALDO H.H., PELCASTRE-CRUZ A., 2012 – Factors affecting genetic correlation estimates from dairy sires’ genetic evaluations to assess genotype-environment interaction. Animal Science Papers and Reports 30, 309-315.
• MULDER H.A., VEERKAMP R.F., DUCRO B.J., VAN ARENDONK J.A.M., BIJMA P., 2006 – Optimization of dairy cattle breeding programs for different environments with genotype by environment interaction. Journal of Dairy Science 89, 1740-1752.
• ODEPA 2010 – Dairy Bulletin -Year 2010. Ministry of Agriculture, Chile. Pages 1-51. Accessed Mar.29, 2011 http://www.odepa.cl/wp-content/uploads/2013/09/boletin_Leche-2010.pdf
• RAFFRENATO E., BLAKE R.W., OLTENACU P.A., CARVALHEIRA J., LICITRA G., 2003 –Genotype by environment interaction for yield and somatic cell score with alternative environmental definitions. Journal of Dairy Science 86, 2470-2479.
• SCHUTZ M.M., HANSEN L.B., STEUERNAGEL G.R., RENEAU J.K., 1990 – Genetic parameters for somatic cells, protein, and fat in milk of Holsteins. Journal of Dairy Science 73, 494-450.
• USDA-ARS 2009 – Official Genetic Evaluations. Accessed Mar. 8, 2009 http://www.aipl.arsusda.gov/eval.htm
• VARGAS B., VAN ARENDONK J.A.M., 2004 – Genetic comparison of breeding schemes based on semen importation and local breeding schemes: framework and application to Costa Rica. Journal of Dairy Science 87, 1496-1505.
• WEIGEL K.A., REKAYA R., ZWALD N.R., FIKSE W.F., 2001 – International genetic evaluation of dairy sires using a multiple-trait model with individual animal performance records. Journal of Dairy Science 84, 2789-2795.
• ZWALD N.R., WEIGEL K.A., FIKSE W.F., REKAYA R., 2003 – Identification of factors that cause genotype by environment interaction between herds of Holstein cattle in seventeen countries. Journal of Dairy Science 86, 1009-1018.