Live weight growth of Seghers pigs and its relations to the fattening and carcass traits in the control station for fattening and carcass evaluation
2000
Biometric and genetic analyses of four genetic groups of Seghers hybrid pigs showed that average daily gain (ADG) in testing station for fattening and carcass evaluation of pigs was 0.913 kg for all groups with the average feed consumption 2.46 kg per 1 kg ADG, and consumption of average metabolizable energy per 1 kg ADG was 32.16 MJ. Intensity of live weight growth measured by regression coefficients were as follows: linear regression 0.8843 kg, Schmalhausen growth/power function 1.8482 kg and Brodyns exponentional function 0.0164 kg per day. All regression parameters were highly significant. Schmalhausen function is better for live weight growth description than Brodyns autoaccelaration one. Two line parental hybrids G2 (33 x 11) were of the highest carcass weights in comparison to the other genetic groups. Three way line crosses G1 [(12 x 36) x 15] had small values of carcass weights with the smallest average values of all carcass traits, but with the highest parameters of weights and backfat thickness, with the highly significant differences in comparison to other genetic groups. Common correlation coefficients between regression coefficients of growth functions were higher than value .85 and correlation between linear regression coefficient and ADG was 0.93. Correlation between regression coefficients and fattening traits besides ADG were negative and highly significant. Correlations of regression coefficients of growth functions with the primary carcass parts were variable, with highest negative values with ham weight and weight of valuable carcass parts of the value approx. 0.40. Corresponding correlations with backfat traits were nonsignificant and small. Analyses of experimental genetic groups of Seghers hybrid pigs showed the very good live weight growth intensity, with optimal feed consumption per 1 kg ADG and adequate carcass composition. Linear and Schmalhausen growth functions can be used in the prediction of fattening and carcass traits of analysed genetic groups in the future
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