Bayesian inference of genetic parameters for test-day milk yield, milk quality traits, and somatic cell score in Burlina cows

• Autorzy: Penasa M. , Cecchinato A. , Battagin M. , De Marchi M. , Pretto D. , Cassandro M.
• Języki publikacji: EN

Abstrakty

EN

The aim of the study was to infer (co)variance components for daily milk yield, fat and protein contents, and somatic cell score (SCS) in Burlina cattle (a local breed in northeast Italy). Data consisted of 13 576 monthly test-day records of 666 cows (parities 1 to 8) collected in 10 herds between 1999 and 2009. Repeatability animal models were implemented using Bayesian methods. Flat priors were assumed for systematic effects of herd test date, days in milk, and parity, as well as for permanent environmental, genetic, and residual effects. On average, Burlina cows produced 17.0 kg of milk per day, with 3.66 and 3.33% of fat and protein, respectively, and 358 000 cells per mL of milk. Marginal posterior medians (highest posterior density of 95%) of heritability were 0.18 (0.09-0.28), 0.28 (0.21-0.36), 0.35 (0.25-0.49), and 0.05 (0.01-0.11) for milk yield, fat content, protein content, and SCS, respectively. Marginal posterior medians of genetic correlations between the traits were low and a 95% Bayesian confidence region included zero, with the exception of the genetic correlation between fat and protein contents. Despite the low number of animals in the population, results suggest that genetic variance for production and quality traits exists in Burlina cattle.

Słowa kluczowe

EN

Bayesian inference; Burlina breed; genetic correlation; heritability; production trait; somatic cell score; genetic parameter; test-day milk yield; somatic cell; cattle breed; Italy; local breed

• Wydawca: -
• Czasopismo: Journal of Applied Genetics
• Rocznik: 2010
• Tom: 51
• Numer: 4
• Opis fizyczny: p.489-495,fig.,ref.

Twórcy

autor

Penasa M.

• Department of Animal Science, University of Padova, Viale dell’Universita 16, 35020, Legnaro (PD), Italy

autor

Cecchinato A.

• Department of Animal Science, University of Padova, Viale dell’Universita 16, 35020, Legnaro (PD), Italy

autor

Battagin M.

• Department of Animal Science, University of Padova, Viale dell’Universita 16, 35020, Legnaro (PD), Italy

autor

De Marchi M.

• Department of Animal Science, University of Padova, Viale dell’Universita 16, 35020, Legnaro (PD), Italy

autor

Pretto D.

• Department of Animal Science, University of Padova, Viale dell’Universita 16, 35020, Legnaro (PD), Italy

autor

Cassandro M.

• Department of Animal Science, University of Padova, Viale dell’Universita 16, 35020, Legnaro (PD), Italy

Bibliografia

• [AIA] Associazione Italiana Allevatori, 2008. Milk recording activity: official statistics. Italian Breeders Association, Rome, Italy.
• Ali AKA, Shook GE, 1980. An optimum transformation for somatic cell concentration in milk. J Dairy Sci 63: 487-490.
• Bittante G, Xiccato G, Debattisti P, Carnier P, 1992. Prestazioni produttive e riproduttive di bovine di razza Burlina, Frisona e meticce allevate in ambiente pedemontano. Zoot Nutr Anim 18: 125-137.
• Brisbane JR, Gibson JP, 1995. Balancing selection response and rate of inbreeding by including genetic relationships in selection decisions. Theor Appl Genet 91: 421-431.
• Cassandro M, Comin A, Ojala M, Dal Zotto R, De Marchi M, Gallo L, et al. 2008. Genetic parameters of milk coagulation properties and their relationships with milk yield and quality traits in Italian Holstein cows. J Dairy Sci 91: 371-376.
• Cecchinato A, De Marchi M, Gallo L, Bittante G, Carnier P, 2009. Mid-infrared spectroscopy predictions as indicator traits in breeding programs for enhanced coagulation properties of milk. J Dairy Sci 92: 5304-5313.
• Comin A, Cassandro M, Chessa S, Ojala M, Dal Zotto R, De Marchi M, et al. 2008. Effects of composite ß- and κ-casein genotypes on milk coagulation, quality, and yield traits in Italian Holstein Friesian cows. J Dairy Sci 91: 4022-4027.
• Dal Zotto R, De Marchi M, Dalvit C, Cassandro M, Gallo L, Carnier P, Bittante G, 2007. Heritabilities and genetic correlations of body condition score and calving interval with yield, somatic cell score, and linear type traits in Brown Swiss cattle. J Dairy Sci 90: 5737-5743.
• Dalvit C, De Marchi M, Cassandro M, 2007. Genetic traceability of livestock products: A review. Meat Sci 77: 437-449.
• Dalvit C, De Marchi M, Dal Zotto R, Zanetti E, Meuwissen T, Cassandro M, 2008. Genetic characterization of the Burlina cattle breed using microsatellites markers. J Anim Breed Genet 125: 137-144.
• Geyer CJ, 1992. Practical Markov Chain Monte Carlo. Stat Sci 7: 473-483.
• Gelfand A, Smith AFM, 1990. Sampling based approaches to calculating marginal densities. J Am Stat Assoc 85: 398-409.
• Gelman A, Rubin DB, 1992. Inference from iterative simulation using multiple sequences. Stat Sci 7: 457-472.
• Geweke J, 1992. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments (with discussion). In: Berger JO, Bernardo JM, Dawid AP, Smith AFM, eds. Bayesian statistics. Oxford: Oxford University Press: 164-193.
• Guzzo N, Sartori C, Mantovani R, 2009. Test-day milk yields variance component estimation using repeatability or random regression models in the Rendena breed. Ital J Anim Sci 8 (Suppl. 3): 71-73.
• Mariani P, Losi G, Russo V, Castagnetti GB, Grazia L, Morini D, Fossa E, 1976. Prove di caseificazione con latte caratterizzato dalle varianti A e B della K-caseina nella produzione del formaggio Parmigiano-Reggiano. Sci Teen Latt Cas 27: 208-227.
• Mayer HK, Ortner M, Tschager E, Ginzinger W, 1997. Composite milk protein phenotypes in relation to composition and cheesemaking properties of milk. Int Dairy J 7: 305-310.
• Meuwissen THE, Sonesson AK, 1998. Maximizing the response of selection with a predefined rate of inbreeding: overlapping generations. J Anim Sci 76: 2575-2583.
• Pacini F, Fellin A, Andrighetto C, Dal Zotto R, De Marchi M, Cassandro M, Lombardi A, 2008. Detection of B κ-casein variant (CSN3*B) in Burlina dairy cattle by PCR-TTGE. Dairy Sci Technol 88: 217-223.
• Pretto D, De Marchi M, Dalvit C, Cassandro M, 2009. Comparing profitability of Burlina and Holstein Friesian cattle breeds. Ital J Anim Sci 8 (Suppl. 3): 65-67.
• Samoré AB, Penasa M, Riggio V, Schiavini F, Frigo E, Pretto D, et al. 2009. Variance component estimation for SCS in different local breeds and species. Ital J Anim Sci 8 (Suppl. 2): 230.
• Samoré AB, Romani C, Rossoni A, Frigo E, Pedron O, Bagnato A, 2007. Genetic parameters for casein and urea content in the Italian Brown Swiss dairy cattle. Ital J Anim Sci 6 (Suppl. 1): 201-203.
• SAS Institute, 2004. SAS/STAT Software, Release 9.1.3. SAS Institute, Inc., Cary, NC.
• Sorensen D, Gianola D, 2002. Likelihood, Bayesian, and MCMC methods in quantitative genetics. New York: Springer-Verlag.
• Sørensen MK, Sørensen AC, Baumung R, Borchersen S, Berg P, 2008. Optimal genetic contribution selection in Danish Holstein depends on pedigree quality. Livest Sci 118: 212-222.
• van den Berg G, Escher JTM, de Koning PJ, Bovenhuis H, 1992. Genetic polymorphism of κ-casein and β-lactoglobulin in relation to milk composition and processing properties. Neth Milk Dairy J 46: 145-168.