Genetic correlations between test station and on-farm performance for backfat thickness and daily gain
Keywords:
pigs, genotype-environment interaction, backfat thickness, daily gainAbstract
Performance test of boars (S-) and on-farm test of gilts (F-) for ultrasonic backfat thickness (BF) and daily live weight gain (LDG) were analyzed to estimate the magnitude of genotvpe-environment interaction (GxEI). GxEI was estimated as genetic correlation in multivariate animal model approach. The dataset consisted of 4583 records of boars and 12145 of gilts for three breeds: Swedish Landrace (SL). Large White (LW) and German Landrace (GL) in years 1990 - 1997 for the nucleus herd on farm Ptuj in Slovenia. Altogether, pedigree file contained 19076 animals. Separate analyses were performed for each breed using REML method in VCE 4. Estimated genetic correlations between corresponding traits in station and on-farm tests were high (above 0.9), except for LW (0.50 and 0.44 for BF and LDG, respectively). The heritability estimates were 0.11–0.35 for F-BF, 0.23–0.40for S-BF, 0.14–0.23 for F-LDG and 0.13–0.31 for S-LDG. Common litter environment variance accounts for 6 - 23% of the phenotypic variance for BF and 7–25% for LDG.
References
Brandt, H. (1994). Die Beziehung zwischen Produktionsmerkmalen von Reinzucht- und Kreuzungsschweinen und Konsequenzen für die Optimierung der Selektion. Habilitation thesis. Cuvillier Verlag Göttingen, 91.
Brascamp, E. W., Merks, J. W. M., Wilmink, J. B. M. (1985). Genotype environment interaction in pig breeding programmes: methods of estimation and relevance of the estimates. Livest. Prod. Sci., 13. 135–146. https://doi.org/10.1016/0301-6226(85)90016-8
Crump, R. E., Haley, C. S., Thompson, R., Mercer, J. (1997). Individual model estimates of genetic parameters for performance test of male and female Landrace pigs tested in a commercial nucleus herd. Anim. Sci., 65. 275–283. https://doi.org/10.1017/S1357729800016581
Falconer, D.S. (1952). The problem of environment and selection. American Naturalist, 68. 293–298. https://doi.org/10.1086/281736
Kovač, M., (1992). Derivative free methods in covariance components estimation. PhD thesis. Urbana, University of Illinois, 147.
Kovač, M., Šalehar, A., Zelenk, G., Tavčar, J., Štuhec, I., Drobnič, M., Jug, A., Pavlin, S., Kovačič, K., Ule, I. Marušič, M., Malovrh, Š., Logar, B., Čandek-Potokar, M. (1999). Preiskušnja prašičev na testni postaji Ptuj (Boar testing on the test station Ptuj in year 1998, Annual report). 38.
Mathur, P. K., Hors, P. (1994). Methods for evaluating genotype-environment interaction. J. Anim. Breed. Genet., 111. 265–288. https://doi.org/10.1111/j.1439-0388.1994.tb00467.x
Mathur, P. K., Schlote, W. (1995). Univariate or multivariate approach for estimating genotype-environment interactions? Arch. Tierz., 38. 577–586.
Merks, J. W. M. (1986). Genotype x environment interactions in pig breeding programmes. I. Central test. Livest. Prod. Sci., 14. 365–386. https://doi.org/10.1016/0301-6226(86)90015-1
Merks, J. W. M. (1989). Genotype x environment interactions in pig breeding programmes. VI. Genetic relations between performances in central test, on-farm test and commercial fattening. Livest. Prod. Sci., 22. 325–339. https://doi.org/10.1016/0301-6226(89)90064-X
Neumaier, A., Groeneveld, E. (1998). Restricted Maximum Likekihood Estimation of Covariances in Sparse Linear Models. Genet. Sel. Evol., 30. 3–26. https://doi.org/10.1051/gse:19980101
Simianer, H. (1991) Test for genotype x environment interaction expressed as genetic correlation. 42nd Annual Meeting of the EAAP, Berlin, 8–12. Sep. 1991.
Tholen, E., Kirstgen, B., Trappmann, W., Schellander, K. (1998) Genotype X environmental interactions in German pig breeding herdbook society using crossbred progeny information. Arch. Tierz., 41. 53–63.
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Copyright (c) 1999 Špela Pezdevšek Malovrh, Milena Kovač
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