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1

Estimation of genetic parameters for monthly egg production in laying hens based on random regression models

100%
Wolc A., Szwaczkowski T.
Journal of Applied Genetics
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2009
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vol. 50
|
issue 1
41-46
EN
. Heritability and genetic correlations of monthly egg production under random regression models were estimated. Three layer lines (A22, A88, K66) in six consecutive generations were analysed. A22 (13,770 recorded hens) and A88 (13,950 recorded hens) are maternal lines of Rhode Island White birds selected on egg production and shell colour; K66 (9,351 recorded birds) is a paternal line of Rhode Island Red birds selected on egg weight. Eight models with different orders of Legendre polynomials were applied. Adequacy of the models was checked by the Akaike Information Criterion. According to the most adequate model including second order Legendre polynomials for fixed effects and third order for additive genetic and permanent environmental effects, relatively high heritabilities were estimated in the first (h2=0.3) and final (h2 above 0.3) periods of production with a substantial decrease in heritability during the egg production peak. Methodology based on random regression animal models can be recommended for genetic evaluation of laying hens.
2

Relationship between microsatellite marker alleles on chromosomes 1-5 originating from the Rhode Island Red and Green-legged Partrigenous breeds and egg production and quality traits in F2 mapping population

88%
Wardecka B., Olszewski R., Jaszczak K., Zieba G., Pierzchala M., Wicinska K.
Journal of Applied Genetics
|
2002
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vol. 43
|
issue 3
319-329
EN
The objective of this study was to determine the relationship between the origin of marker alleles from the Rhode Island Red (RIR) and Green-legged Partrigenous (GlP) breeds and chosen egg production and quality traits in F2 generation consisting of 10 full-sib families. Polymorphism analysis of 23 microsatellite markers within the mapping population (519 F2) was made. In parental generation 17 alleles were identified as specific for the GlP and 23 for the RIR. The least squares method was used to evaluate the significance of effects of genotype (GlP/GlP, RIR/RIR, GlP/RIR) on the analysed quantitative traits. Thirty traits of egg production and quality were measured during the laying period. It was shown that the effects of the genotype (GlP/GlP, RIR/RIR, GlP/RIR) at the loci on analysed traits of F2 animals were diversified. Significant effects were found for 16 traits. These results confirm that the analysed microsatellite loci may be linked to the genes affecting egg production and quality traits. The loci examined and the experimental population constitutes a valuable material for QTL mapping (linkage analysis).
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