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Original Articles

Genetic parameters for a heavy female turkey line: impact of simultaneous selection for body weight and total egg number

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Pages 685-693 | Accepted 14 Aug 2006, Published online: 15 Feb 2007
 

Abstract

1.

The objective of this study was to investigate the strength of the genetic association between growth and reproduction traits in turkeys selected for body weight, conformation and egg production.

2.

Two distinct populations but derived from the same heavy turkey female line and situated in different locations (UK and USA), were used to estimate genetic parameters using multivariate REML for the following traits: body weight at 14 (BW14), 19 (BW19) and 24 (BW24) weeks of age and total egg number (EGG).

3.

A Box–Cox transformation was applied to egg production data to reduce the impact of non-normality.

4.

The heritability estimates for each trait for the UK and USA populations, respectively, were: BW14 0·37 and 0·48; BW19 0·34 and 0·43; BW24 0·28 and 0·43; EGG 0·22 and 0·34.

5.

The genetic correlation between the body weight at all ages and the total egg production was strongly negative, reaching a value of −0·75 for the UK and −0·55 for the USA population.

6.

The comparison of our results with published estimates in turkeys suggests that the genetic correlation may get stronger in magnitude following selection for increased body weight.

7.

This could arise from fixation during selection of genes favouring larger weights but with minimal effect on egg production, leaving the segregating genetic variation dominated by pleiotropic loci with antagonistic effects on the traits.

8.

Thus, in order to avoid continued selection for body weight reducing egg production to a point where natural selection offsets selection gains, alternative selection strategies should be considered.

Acknowledgements

The authors would like to thank British United Turkeys for funding and data collection and especially Dr James Bentley and Dr Andy Morris for the information and assistance that they kindly provided. A.K. would like to thank the Public Benefit Foundation ‘Alexandros S. Onassis’ for supporting his research.

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