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- Title
Genetic analysis of pig growth curves: a simulation study.
- Authors
Marques, D. B. D.; Silva, F. F.; Veroneze, R.; Lopes, P. S.; Guimarães, S. E. F.
- Abstract
We aimed to estimate genetic parameters for the non-linear Gompertz growth curve parameters based on the two-step method and simulated data of a pig population. Data of true breeding values, growth curve parameters (a, b and k) and body weights at 1, 90, 210, 360 and 540 days of age were simulated for 1700 individuals. Afterwards, in the first stage of the two-step method, the Gompertz curves were fitted for each animal and the growth curve parameters were estimated. In the second step, considering the estimated parameters as phenotypes, animals' breeding values were predicted by multitrait analyses. The simulation and two-step processes were replicated 10 times. For each replicate, the genetic parameters, accuracies and biases were calculated. Moderate to high average heritabilities for the curve parameters [0.62 (0.04), 0.56 (0.04) and 0.57 (0.04) for a, b and k, respectively] show the possibility of effective selection of animals based on these parameters. High and favorable average genetic correlations, especially between the most important growth curve parameters [a and k, 0.93 (0.01)], shows that selection for increased mature weight (a) will also increase maturation rate (k). High average accuracies [0.84 (0.02), 0.82 (0.02) and 0.83 (0.02)] and low average biases [0.06 (0.06), 0.06 (0.06) and 0.07 (0.07) for a, b, and k, respectively] indicate that the two-step approach is feasible for predicting breeding values for growth curve parameters and for dealing with longitudinal body weight measurements.
- Subjects
GOMPERTZ functions (Mathematics); GENETIC correlations; ARTIFICIAL selection of animals; CURVES; ANIMAL breeding; SWINE breeding; BODY weight
- Publication
Archivos de Zootecnia, 2021, Vol 70, Issue 270, p224
- ISSN
0004-0592
- Publication type
Article