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Effect of errors in pedigree on the accuracy of estimated breeding value for carcass traits in Korean Hanwoo cattle

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Objective: This study evaluated the effect of pedigree errors (PEs) on the accuracy of estimated breeding value (EBV) and genetic gain for carcass traits in Korean Hanwoo cattle. Methods: The raw data set was based on the pedigree records of Korean Hanwoo cattle. The animals’ information was obtained using Hanwoo registration records from Korean animal improvement association database. The record comprised of 46,704 animals, where the number of the sires used was 1,298 and the dams were 38,366 animals. The traits considered were carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS). Errors were introduced in the pedigree dataset through randomly assigning sires to all progenies. The error rates substituted were 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, and 80%, respectively. A simulation was performed to produce a population of 1,650 animals from the pedigree data. A restricted maximum likelihood based animal model was applied to estimate the EBV, accuracy of the EBV, expected genetic gain, variance components, and heritability (h2) estimates for carcass traits. Correlation of the simulated data under PEs was also estimated using Pearson’s method. Results: The results showed that the carcass traits per slaughter year were not consistent. The average CWT, EMA, BFT, and MS were 342.60 kg, 78.76 cm2, 8.63 mm, and 3.31, respectively. When errors were introduced in the pedigree, the accuracy of EBV, genetic gain and h2 of carcass traits was reduced in this study. In addition, the correlation of the simulation was slightly affected under PEs. Conclusion: This study reveals the effect of PEs on the accuracy of EBV and genetic parameters for carcass traits, which provides valuable information for further study in Korean Hanwoo cattle.

Abstract

Objective: This study evaluated the effect of pedigree errors (PEs) on the accuracy of estimated breeding value (EBV) and genetic gain for carcass traits in Korean Hanwoo cattle. Methods: The raw data set was based on the pedigree records of Korean Hanwoo cattle. The animals’ information was obtained using Hanwoo registration records from Korean animal improvement association database. The record comprised of 46,704 animals, where the number of the sires used was 1,298 and the dams were 38,366 animals. The traits considered were carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS). Errors were introduced in the pedigree dataset through randomly assigning sires to all progenies. The error rates substituted were 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, and 80%, respectively. A simulation was performed to produce a population of 1,650 animals from the pedigree data. A restricted maximum likelihood based animal model was applied to estimate the EBV, accuracy of the EBV, expected genetic gain, variance components, and heritability (h2) estimates for carcass traits. Correlation of the simulated data under PEs was also estimated using Pearson’s method. Results: The results showed that the carcass traits per slaughter year were not consistent. The average CWT, EMA, BFT, and MS were 342.60 kg, 78.76 cm2, 8.63 mm, and 3.31, respectively. When errors were introduced in the pedigree, the accuracy of EBV, genetic gain and h2 of carcass traits was reduced in this study. In addition, the correlation of the simulation was slightly affected under PEs. Conclusion: This study reveals the effect of PEs on the accuracy of EBV and genetic parameters for carcass traits, which provides valuable information for further study in Korean Hanwoo cattle.

참고문헌 (34)

  1. "Annual report, directory and career opportunities 2019-2020" (2019)[URL]
  2. Carmen LB, "Pedigree analysis", Tufts’ Canine and Feline Breeding and Genetics Conference (2007)
  3. Meuwissen THE, "Maximizing the response of selection with a predefined rate of inbreeding", J Anim Sci, 75, pp.934~940 (1997)[DOI]
  4. Steyn JW, "Preliminary report : Pedigree analysis of the Brangus cattle in South Africa", S Afr J Anim Sci, 42, pp.511~514 (2012)[DOI]
  5. 이승환, "Hanwoo cattle: origin, domestication, breeding strategies and genomic selection", 한국축산학회지, 56(1), pp.1~8 (2014), 한국축산학회
  6. Lee SH, "Genome-wide association study identifies three loci for intramuscular fat in Hanwoo(Korean cattle)", Livest Sci, 165, pp.27~32 (2014)[DOI]
  7. Lee SH, "Genome-wide association study identifies major loci for carcass weight on BTA14 in Hanwoo(Korean cattle)", PLoS ONE, 8, pp.e74677~ (2013)[DOI]
  8. Long TE, "Effects of errors in pedigree on three methods of estimating breeding value for litter size, backfat and average daily gain in swine", J Anim Sci, 68, pp.4069~4078 (1990)[DOI]
  9. Harder B, "Effect of missing sire information on genetic evaluation", Arch Anim Breed, 48, pp.219~232 (2005)[DOI]
  10. Israel C, "Effect of misidentification on genetic gain and estimation of breeding value in dairy cattle populations", J Dairy Sci, 83, pp.181~187 (2000)[DOI]
  11. Christensen LG, "The influence of incorrect sire identification on the estimates of genetic parameters and breeding values", Proceedings of the World Congress on Genetics Applied to Livestock Production, pp.200~208 (1982)
  12. Gelderman H, "Effect of misidentification on the estimation of breeding value and heritability in cattle", J Anim Sci, 63, pp.1759~1768 (1986)[DOI]
  13. Ron M, "Misidentification rate in the Israeli dairy cattle population and its implications for genetic improvement", J Dairy Sci, 79, pp.676~681 (1996)[DOI]
  14. Van Vleck LD, "Misidentification in estimating the paternal sib correlation", J Dairy Sci, 53, pp.1469~1474 (1970)[DOI]
  15. Van Vleck LD, "Misidentification and sire evaluation", J Dairy Sci, 53, pp.1697~1702 (1970)[DOI]
  16. "Korean Animal Improvement Association database" (2014)[URL]
  17. The report of livestock product marketing in Korea, "Korea Institute for Animal Product Quality Evaluation", KAPQE, ~ (2012)
  18. 김형철, "Genomic Information and Its Application in Hanwoo (Korean Native Cattle) Breeding Program - A Mini Review", 동물자원연구, 22(2), pp.125~133 (2011), 동물생명과학연구소
  19. Oliehoek PA, "Effects of pedigree errors on the efficiency of conservation decisions", Genet Select Evol, 41, pp.9~ (2009)[DOI]
  20. Sargolzaei M, "QMSim : A large-scale genome simulator for livestock", Bioinformatics, 25, pp.680~681 (2009)[DOI]
  21. "R: A language and environment for statistical computing" (2013)[URL]
  22. Henderson CR, "Sire evaluation and genetic trends", J Anim Sci, pp.10~41 (1973)[DOI]
  23. B. Park, "National Genetic Evaluation (System) of Hanwoo (Korean Native Cattle)", Animal Bioscience, 26(2), pp.151~156 (2013), 아세아·태평양축산학회[DOI]
  24. 윤호백, "거세한우의 도체형질에 대한 유전모수 추정", 한국축산학회지, 44(4), pp.383~390 (2002), 한국축산학회
  25. 도창희, "Genetic Parameter Estimates of Carcass Traits under National Scale Breeding Scheme for Beef Cattle", Animal Bioscience, 29(8), pp.1083~1094 (2016), 아세아·태평양축산학회[DOI]
  26. Oikawa T, "Genetic parameters for growth and carcass traits of Japanese Black(Wagyu)cattle", Anim Sci, 71, pp.59~64 (2000)[DOI]
  27. Fabrizio A, "Genotype by environment interaction on growth and carcass traits in beef cattle in the tropics", Adv Anim Biosci, 1, pp.372~373 (2010)[DOI]
  28. Bovenhuis H, "Estimation of milk protein gene frequencies in crossbred cattle by maximum likelihood", J Dairy Sci, 74, pp.2728~2736 (1991)[DOI]
  29. Banos G, "Impact of paternity errors in cow identification on genetic evaluations and international comparisons", J Dairy Sci, 84, pp.2523~2529 (2001)[DOI]
  30. Van Arendonk JAM, "Livestock breeding schemes: challenges and opportunities", Proceedings of the 6th World Congress on Genetics Applied to Livestock Production, pp.407~414 (1998)
  31. Sanders K, "Wrong and missing sire information affects genetic gain in the Angeln dairy cattle population", J Dairy Sci, 89, pp.315~321 (2006)[DOI]
  32. Richard MB, "Understanding animal breeding" (2013), Pearson New International Edition
  33. Senneke SL, "Effects of sire misidentification on estimates of genetic parameters for birth and weaning weights in Hereford cattle", J Anim Sci, 82, pp.2307~2312 (2004)[DOI]
  34. Parlato E, "Effect of parentage misidentification on estimates of genetic parameters for milk yield in the Mediterranean Italian buffalo population", J Dairy Sci, 95, pp.4059~4064 (2012)[DOI]

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