A Meta-analysis of Genetic Estimates for Economically Important Traits in Ducks

Overview

Journal Vet Anim Sci

Specialty Veterinary Medicine

Date 2024 Nov 21

PMID 39568627

Authors

Navid Ghavi Hossein-Zadeh

Affiliations

Soon will be listed here.

Abstract

This study aimed to gather published genetic parameter estimates for economically important traits in ducks through a meta-analysis utilizing the random-effects model. The present study used a dataset on genetic parameters of various duck traits, including 275 genetic correlation estimates and 233 heritability estimates from 31 studies published between 1988 and 2024. The heritability estimates for growth traits were generally low to high and varied from 0.154 (for body weight gain) to 0.405 (for body weight at first egg), respectively. Results showed that heritability estimates for egg production and quality traits were generally low to moderate, ranging from 0.119 (for egg shell strength) to 0.340 (for egg weight). The heritability estimates for feeding traits were generally moderate to high and varied from 0.266 (for residual feed intake) to 0.624 (for meal feed intake), respectively. The results indicate that there was a high genetic correlation (0.827, P < 0.05) between feed intake and residual feed intake, but low to moderate genetic correlations (P < 0.05) were found between feed intake and feed conversion ratio (0.318). The results of the current meta-analysis supported the hypothesis that these duck traits exhibit additive genetic variation. Genetic selection schemes for ducks may thus potentially take advantage of the available additive genetic variation in these traits. Furthermore, in cases where accurate estimates for economically significant traits in duck populations across the globe are unavailable, the average genetic parameter estimates presented in this meta-analysis can be used in breeding plans.

References

Cai W, Hu J, Fan W, Xu Y, Tang J, Xie M . Strategies to improve genomic predictions for 35 duck carcass traits in an F population. J Anim Sci Biotechnol. 2023; 14(1):74. PMC: 10163724. DOI: 10.1186/s40104-023-00875-8. View

Basso B, Bordas A, Dubos F, Morganx P, Marie-Etancelin C . Feed efficiency in the laying duck: appropriate measurements and genetic parameters. Poult Sci. 2012; 91(5):1065-73. DOI: 10.3382/ps.2011-02008. View

Ghavi Hossein-Zadeh N . Evidence of additive genetic variation for major milk proteins in dairy cows: A meta-analysis. J Anim Breed Genet. 2024; 141(4):379-389. DOI: 10.1111/jbg.12850. View

Duval S, Tweedie R . Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000; 56(2):455-63. DOI: 10.1111/j.0006-341x.2000.00455.x. View

Duggan B, Rae A, Clements D, Hocking P . Higher heritabilities for gait components than for overall gait scores may improve mobility in ducks. Genet Sel Evol. 2017; 49(1):42. PMC: 5412063. DOI: 10.1186/s12711-017-0317-2. View

Drouilhet L, Basso B, Bernadet M, Cornuez A, Bodin L, David I . Improving residual feed intake of mule progeny of Muscovy ducks: genetic parameters and responses to selection with emphasis on carcass composition and fatty liver quality. J Anim Sci. 2014; 92(10):4287-96. DOI: 10.2527/jas.2014-8064. View

Pires P, Leuven A, Franceschi C, Machado G, Pires P, Moraes P . Effects of rice protein coating enriched with essential oils on internal quality and shelf life of eggs during room temperature storage. Poult Sci. 2020; 99(1):604-611. PMC: 7587904. DOI: 10.3382/ps/pez546. View

Hu Y, Poivey J, Rouvier R, Liu S, Tai C . Heritabilities and genetic correlations of laying performance in Muscovy ducks selected in Taiwan. Br Poult Sci. 2004; 45(2):180-5. DOI: 10.1080/00071660410001715777. View

Hooijmans C, IntHout J, Ritskes-Hoitinga M, Rovers M . Meta-analyses of animal studies: an introduction of a valuable instrument to further improve healthcare. ILAR J. 2014; 55(3):418-26. PMC: 4276598. DOI: 10.1093/ilar/ilu042. View

10.

Zhang Y, Guo Z, Xie M, Zhang Z, Hou S . Genetic parameters for residual feed intake in a random population of Pekin duck. Asian-Australas J Anim Sci. 2016; 30(2):167-170. PMC: 5205602. DOI: 10.5713/ajas.15.0577. View

11.

Chartrin P, Meteau K, Juin H, Bernadet M, Guy G, Larzul C . Effects of intramuscular fat levels on sensory characteristics of duck breast meat. Poult Sci. 2006; 85(5):914-22. DOI: 10.1093/ps/85.5.914. View

12.

Marie-Etancelin C, Basso B, Davail S, Gontier K, Fernandez X, Vitezica Z . Genetic parameters of product quality and hepatic metabolism in fattened mule ducks. J Anim Sci. 2010; 89(3):669-79. DOI: 10.2527/jas.2010-3091. View

13.

Lin R, Chen H, Rouvier R, Marie-Etancelin C . Genetic parameters of body weight, egg production, and shell quality traits in the Shan Ma laying duck (Anas platyrhynchos). Poult Sci. 2016; 95(11):2514-2519. DOI: 10.3382/ps/pew222. View

14.

Zeng T, Zhang H, Liu J, Chen L, Tian Y, Shen J . Genetic parameters of feed efficiency traits and their relationships with egg quality traits in laying period of ducks. Poult Sci. 2018; 97(3):758-763. DOI: 10.3382/ps/pex337. View

15.

Ioannidis J, Trikalinos T . The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. CMAJ. 2007; 176(8):1091-6. PMC: 1839799. DOI: 10.1503/cmaj.060410. View

16.

Cai W, Hu J, Fan W, Xu Y, Tang J, Xie M . Genetic parameters and genomic prediction of growth and breast morphological traits in a crossbreed duck population. Evol Appl. 2024; 17(2):e13638. PMC: 10848588. DOI: 10.1111/eva.13638. View

17.

Liu H, Wang L, Guo Z, Xu Q, Fan W, Xu Y . Genome-wide association and selective sweep analyses reveal genetic loci for FCR of egg production traits in ducks. Genet Sel Evol. 2021; 53(1):98. PMC: 8690979. DOI: 10.1186/s12711-021-00684-5. View

18.

Moher D, Liberati A, Tetzlaff J, Altman D . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009; 6(7):e1000097. PMC: 2707599. DOI: 10.1371/journal.pmed.1000097. View

19.

Bordas A, Tixier-Boichard M, Merat P . Direct and correlated responses to divergent selection for residual food intake in Rhode Island Red laying hens. Br Poult Sci. 1992; 33(4):741-54. DOI: 10.1080/00071669208417515. View

20.

Lean I, Rabiee A, Duffield T, Dohoo I . Invited review: Use of meta-analysis in animal health and reproduction: methods and applications. J Dairy Sci. 2009; 92(8):3545-65. DOI: 10.3168/jds.2009-2140. View