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Count Bayesian models for genetic analysis of in vitro embryo production traits in Guzerá cattle

Published online by Cambridge University Press:  27 February 2017

B. C. Perez*
Affiliation:
Department of Animal Sciences, College of Animals Science and Food Engineering, University of São Paulo (FZEA/USP), Pirassununga, 13630-000 São Paulo, Brazil
F. F Silva
Affiliation:
Department of Animal Science, Federal University of Viçosa, Viçosa, 36570-900 Minas Gerais, Brazil
R. V. Ventura
Affiliation:
Beef Improvement Opportunities (BIO), Elora, N1K 1E5 Ontario, Canada Department of Animal and Poultry Science, University of Guelph, Guelph, N1G 2W1 Ontario, Canadá
F. A. T Bruneli
Affiliation:
National Center of Research on Dairy Cattle, Brazilian Agricultural Research Corporation(CNPGL/EMBRAPA), Juiz de Fora, 36038-330 Minas Gerais, Brazil
J. C. C. Balieiro
Affiliation:
College of Veterinary Medicine and Animal Science, University of São Paulo (FMVZ/USP), Pirassununga, 13630-000 São Paulo, Brazil
M. G. D. C. Peixoto
Affiliation:
National Center of Research on Dairy Cattle, Brazilian Agricultural Research Corporation(CNPGL/EMBRAPA), Juiz de Fora, 36038-330 Minas Gerais, Brazil
*
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Abstract

Four models for in vitro embryo production traits in Guzerá cattle were compared: Gaussian (untransformed variable – LIN and transformed in logarithmic scale – LOG), Poisson (POI) and zero-inflated Poisson (ZIP). Data consisted of 5716 ovum pick-up and in vitro fertilization records performed in 1205 cows from distinct regions of Brazil. Analyzed count traits were the number of viable oocytes (NOV), number of grade I oocytes (NGI), number of degenerated oocytes (NDG), number of cleaved embryos (NCLV) and number of viable produced embryos (NEMB). Heritability varied from 0.17 (LIN) to 0.25 (POI) for NOV; 0.08 (LOG) to 0.18 (ZIP) for NGI; 0.12 (LIN) to 0.20 (POI) for NDG; 0.13 (LIN) to 0.19 (POI) for NCLV; 0.10 (LIN) to 0.20 (POI) for NEMB depending on the considered model. The estimated repeatability varied from 0.53 (LOG) to 0.63 (POI) for NOV; 0.22 (LOG) to 0.39 (ZIP) for NGI; 0.29 (LIN) to 0.42 (ZIP) for NDG; 0.42 (LIN) to 0.59 (POI) for NCLV; 0.36 (LIN) to 0.51 (POI) for NEMB. The goodness of fit, measured by deviance information criterion and mean squared residuals, suggested superiority of POI and ZIP over Gaussian models. Estimated breeding values (EBV) obtained by different models were highly correlated, varying from 0.92 for NOV (between LIN-POI) and 0.99 for NGI (between POI-ZIP). The number of coincident animals on the 10% top EBV showed lower similarities. We recommend POI and ZIP models as the most adequate for genetic analysis of in vitro embryo production traits in Guzerá cattle.

Type
Research Article
Copyright
© The Animal Consortium 2017 

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