Genetic parameters for residual feed intake in a random population of Pekin duck
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Objective: The feed intake (FI) and feed efficiency are economically important traits in ducks. To obtain insight into this economically important trait, we designed an experiment based on the residual feed intake (RFI) and feed conversion ratio (FCR) of a random population Pekin duck. Methods: Two thousand and twenty pedigreed random population Pekin ducks were established from 90 males mated to 450 females in two hatches. Traits analyzed in the study were body weight at the 42th day (BW42), 15 to 42 days average daily gain (ADG), 15 to 42 days FI, 15 to 42 days FCR, and 15 to 42 days RFI to assess their genetic inter-relationships. The genetic parameters for feed efficiency traits were estimated using restricted maximum likelihood (REML) methodology applied to a sire-dam model for all traits using the ASREML software. Results: Estimates heritability of BW42, ADG, FI, FCR, and RFI were 0.39, 0.38, 0.33, 0.38, and 0.41, respectively. The genetic correlation was high between RFI and FI (0.77) and moderate between RFI and FCR (0.54). The genetic correlation was high and moderate between FCR and ADG (–0.80), and between FCR and BW42 (–0.64), and between FCR and FI (0.49), respectively. Conclusion: Thus, selection on RFI was expected to improve feed efficiency, and reduce FI. Selection on RFI thus improves the feed efficiency of animals without impairing their FI and increase growth rate.
Abstract
Objective: The feed intake (FI) and feed efficiency are economically important traits in ducks. To obtain insight into this economically important trait, we designed an experiment based on the residual feed intake (RFI) and feed conversion ratio (FCR) of a random population Pekin duck. Methods: Two thousand and twenty pedigreed random population Pekin ducks were established from 90 males mated to 450 females in two hatches. Traits analyzed in the study were body weight at the 42th day (BW42), 15 to 42 days average daily gain (ADG), 15 to 42 days FI, 15 to 42 days FCR, and 15 to 42 days RFI to assess their genetic inter-relationships. The genetic parameters for feed efficiency traits were estimated using restricted maximum likelihood (REML) methodology applied to a sire-dam model for all traits using the ASREML software. Results: Estimates heritability of BW42, ADG, FI, FCR, and RFI were 0.39, 0.38, 0.33, 0.38, and 0.41, respectively. The genetic correlation was high between RFI and FI (0.77) and moderate between RFI and FCR (0.54). The genetic correlation was high and moderate between FCR and ADG (–0.80), and between FCR and BW42 (–0.64), and between FCR and FI (0.49), respectively. Conclusion: Thus, selection on RFI was expected to improve feed efficiency, and reduce FI. Selection on RFI thus improves the feed efficiency of animals without impairing their FI and increase growth rate.
참고문헌 (25)
- Zhang W, "Genetic variation in feed utilization efficiency of meat-type chickens", World's Poult Sci J, 59, pp.328~339 (2003)
- Koch RM, "Efficiency of feed use in beef cattle", J Anim Sci, 22, pp.486~494 (1963)
- Bordas A, "Genetic variation and phenotypic correlations of food consumption of laying hens corrected for body weight and production", Br Poult Sci, 22, pp.25~33 (1981)
- Archer JA, "Genetic and phenotypic relationships between food intake, growth, efficiency and body composition of mice post weaning and at maturity", Anim Sci, 67, pp.171~182 (1998)
- Gilbert H, "Genetic parameters for residual feed intake in growing pigs, with emphasis on genetic relationships with carcass and meat quality traits", J Anim Sci, 85, pp.3182~3188 (2007)
- Cai W, "Selection response and genetic parameters for residual feed intake in Yorkshire swine", J Anim Sci, 86, pp.287~298 (2008)
- Drouilhet L, "Genetic parameters for two selection criteria for feed efficiency in rabbits", J Anim Sci, 91, pp.3121~3128 (2013)
- Aggrey SE, "Genetic properties of feed efficiency parameters in meat-type chickens", Genet Sel Evol, 42, pp.1~5 (2010)
- Arthur P, "Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other postweaning traits in Angus cattle", J Anim Sci, 79, pp.2805~2811 (2001)
- Schenkel F, "Genetic parameters and breed differences for feed efficiency, growth, and body composition traits of young beef bulls", Can J Anim Sci, 84, pp.177~185 (2004)
- Cruz GD, "Performance, residual feed intake, digestibility, carcass traits, and profitability of Angus-Hereford steers housed in individual or group pens", J Anim Sci, 88, pp.324~329 (2010)
- Durunna ON, "Phenotypic and genetic relationships among feeding behavior traits, feed intake, and residual feed intake in steers fed grower and finisher diets", J Anim Sci, 89, pp.3401~3409 (2011)
- Durunna ON, "Evidence of residual feed intake reranking in crossbred replacement heifers", J Anim Sci, 90, pp.734~741 (2012)
- Mrode R, "Genetic variation in measures of food efficiency in pigs and their genetic relationships with growth rate and backfat", Anim Prod, 56, pp.225~232 (1993)
- Le NT, "Metabolic changes and tissue responses to selection on residual feed intake in growing pigs", J Anim Sci, 90, pp.4771~4780 (2012)
- SAS Institue Inc, "SAS User’s Guide:Version 8.12" (1998), SAS Institue Inc
- Gilmour, AR, "ASREML User Guide. Release 3.0" (2009), VSN International Ltd
- Hofer A, "Variance component estimation in animal breeding: a review", J Anim Breed Genet, 115, pp.247~265 (1998)
- Atchley WR, "Statistical properties of ratios. I. Empirical results", Syst Biol, 25, pp.137~148 (1976)
- Fan B, "Identification of genetic markers associated with residual feed intake and meat quality traits in the pig", Meat Sci, 84, pp.645~650 (2010)
- Aggrey SE, "Research Genetic properties of feed efficiency parameters in meat-type chickens", Genet Sel Evol, 42, pp.25~ (2010)
- Case LA, "The genetic parameters of feed efficiency and its component traits in the turkey (Meleagris gallopavo)", Genet Sel Evol, 44, pp.2~ (2012)
- Hoque M, "Genetic parameters for measures of residual feed intake and growth traits in seven generations of Duroc pigs", Livest Sci, 121, pp.45~49 (2009)
- Herd R, "Genetic variation in residual feed intake and its association with other production traits in British Hereford cattle", Livest Prod Sci, 63, pp.111~119 (2000)
- Arthur P, "Genetic and phenotypic relationships among different measures of growth and feed efficiency in young Charolais bulls", Livest Prod Sci, 68, pp.131~139 (2001)