Literature DB >> 17666778

Genetic variability of body weight in two goose strains under long-term selection.

Tomasz Szwaczkowski1, Stanislaw Wezyk, Elzbieta Stanisławska-Barczak, Jakub Badowski, Halina Bielińska, Anna Wolc.   

Abstract

Body weight is one of the most important traits in any genetic improvement program in geese for at least 2 reasons. First, measurements of the trait are very easy. Second, body weight is correlated with a number of other meat performance traits. However, the genetic background of body weight shows considerable complexity. Three genetic models (with direct, maternal genetic and permanent maternal environmental effects) were employed in this study. Records of 3076 individuals of maternal strain W11 and 2656 individuals of paternal strain W33 over 6 consecutive generations, kept in the pedigree farm of Kołuda Wielka, were analysed. Body weight (in kilograms) was measured in weeks 8 (BW8) and 11 (BW11). The inbreeding levels in both populations were relatively low (0.14% and 0.02% for W11 and W33, respectively), therefore these effects were not included in the linear models to estimate genetic parameters. Three fixed effects (hatch period, sex and year) were included in each linear model. Two criteria (AIC, BIC) were used to check the goodness of fit of the models. The computations were performed by WOMBAT software. In general, the genetic parameter estimates varied across the traits, models and strains studied. Direct additive heritability estimates ranged from 0.0001 (for BW11 of W33) to 0.55 (for BW11 of W33). Maternal and total heritabilities were also variable. Estimates of ratios of direct-maternal effect covariance in phenotypic variance were both positive and negative, but they were negligible, whereas ratios of the permanent environmental maternal variance to phenotypic variance were close to zero. Both of the applied criteria of model adequacy indicate that the model with maternal genetic and environmental effects should be considered as optimal. Genetic trends were close to zero. It seems that they were influenced by long-term selection. Similar tendencies have been observed for phenotypic trends, as well.

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Year:  2007        PMID: 17666778     DOI: 10.1007/BF03195220

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  12 in total

1.  Inbreeding and inbreeding depression on reproduction and production traits of White Leghorn lines selected for egg production traits.

Authors:  A Sewalem; K Johansson; M Wilhelmson; K Lillpers
Journal:  Br Poult Sci       Date:  1999-05       Impact factor: 2.095

2.  Estimation of the genetic parameters of meat characteristics and of their genetic correlations with growth and body composition in an experimental broiler line.

Authors:  E Le Bihan-Duval; C Berri; E Baeza; N Millet; C Beaumont
Journal:  Poult Sci       Date:  2001-07       Impact factor: 3.352

3.  Genetic correlations between the maternal genetic effect on chick weight and the direct genetic effects on egg composition traits in a White Leghorn line.

Authors:  C Hartmann; K Johansson; E Strandberg; L Rydhmer
Journal:  Poult Sci       Date:  2003-01       Impact factor: 3.352

4.  Possible maternal inheritance of breast muscle morphology in turkeys at sixteen weeks of age.

Authors:  S G Velleman; J Anderson; K E Nestor
Journal:  Poult Sci       Date:  2003-10       Impact factor: 3.352

5.  Curvilinear inbreeding effects on some performance traits in laying hens.

Authors:  Tomasz Szwaczkowski; Katarzyna Cywa-Benko; Stanisław Wezyk
Journal:  J Appl Genet       Date:  2004       Impact factor: 3.240

6.  The Genetic Basis for Constructing Selection Indexes.

Authors:  L N Hazel
Journal:  Genetics       Date:  1943-11       Impact factor: 4.562

7.  Estimating maternal genetic effects in livestock.

Authors:  P Bijma
Journal:  J Anim Sci       Date:  2006-04       Impact factor: 3.159

8.  Estimation of the genetic correlations between twisted legs and growth or conformation traits in broiler chickens.

Authors:  E L Bihan-Duval; C Beaumont; J J Colleau
Journal:  J Anim Breed Genet       Date:  1997-01-12       Impact factor: 2.380

Review 9.  The role of maternal effects in animal breeding. 3. Biometrical aspects of maternal effects in animals.

Authors:  R L Willham
Journal:  J Anim Sci       Date:  1972-12       Impact factor: 3.159

10.  Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects.

Authors:  V Clément; B Bibé; E Verrier; J M Elsen; E Manfredi; J Bouix; E Hanocq
Journal:  Genet Sel Evol       Date:  2001 Jul-Aug       Impact factor: 4.297

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