DOI QR코드

DOI QR Code

The effect of progeny numbers and pedigree depth on the accuracy of the EBV with the BLUP method

  • Jang, Sungbong (Division of Animal & Dairy Science, ChungNam National University) ;
  • Kim, So Yeon (Division of Animal & Dairy Science, ChungNam National University) ;
  • Lee, Soo-Hyun (Division of Animal & Dairy Science, ChungNam National University) ;
  • Shin, Min Gwang (Division of Animal & Dairy Science, ChungNam National University) ;
  • Kang, Jimin (Division of Animal & Dairy Science, ChungNam National University) ;
  • Lee, Dooho (Division of Animal & Dairy Science, ChungNam National University) ;
  • Kim, Sidong (National Institute of Animal Science, RDA) ;
  • Noh, Seung Hee (Hanwoo Improvement Center, Nation Agricultural Cooperative Federation) ;
  • Lee, Seung Hwan (Division of Animal & Dairy Science, ChungNam National University) ;
  • Choi, Tae Jeong (National Institute of Animal Science, RDA)
  • Received : 2018.12.18
  • Accepted : 2019.04.19
  • Published : 2019.06.01

Abstract

This study was done to estimate the effect of progeny numbers and pedigree depth on the accuracy of the estimated breeding value (EBV) using best linear unbiased prediction (BLUP) method in Hanwoo. The experiment groups (sire = 100, 200, and 300; progeny = 4 and 8) were made by random sampling and by genetic evaluation of the following traits: Body weight (BW), carcass weight (CW), eye muscle area (EMA), back fat thickness (BFT) and marbling score (MS9). As a result of the genetic evaluation, the accuracy of the EBV was roughly 30 - 60% with 4 progenies, and the accuracy of the EBV increased by about 50 - 75% with 8 progenies. In the other words, when the number of progenies increased from 4 to 8, the accuracy of the EBV simultaneously increased by about 15 - 20%. Moreover, when the number of sires was higher, variations in the accuracy of the EBV within the groups for each trait decreased. Therefore, this result indicates that not only the number of progeny but also the number of sires can affect the accuracy of the EBV. Consequently, collecting information on the progeny and careful management of that information are very important things in the Hanwoo breeding system. Therefore, the EBV can show more precise results when conducting genetic evaluations.

Keywords

CNNSA3_2019_v46n2_293_f0001.png 이미지

Fig. 1. Diagram of study design (a) and random sampling (b) for sire families with progeny. KPN, Korean proven bulls; dam, female cattle; sire, Male cattle; BLUP, best linear unbiased prediction.

CNNSA3_2019_v46n2_293_f0002.png 이미지

Fig. 2. Box plot to accuracy of estimated breeding value (EBV) for carcass traits by the number of sire and progeny.

CNNSA3_2019_v46n2_293_f0003.png 이미지

Fig. 3. Variance of estimated breeding value (EBV) accuracy on increasing number of sire. BFT, back fat thickness; BW, body weight; CW, carcass weight; EMA, eye muscle area; MS, marbling score.

Table 1. Descriptive statistics of traits of 3789 sires.

CNNSA3_2019_v46n2_293_t0001.png 이미지

Table 2. heritability of carcass traits for all groups.

CNNSA3_2019_v46n2_293_t0002.png 이미지

Table 3. Accuracy of estimated breeding value (EBV) on their number of progeny.

CNNSA3_2019_v46n2_293_t0003.png 이미지

Table 4. Results of t-test for fve traits by diferent number of progeny.

CNNSA3_2019_v46n2_293_t0004.png 이미지

Table 5. Results of the estimated breeding value (EBV) and accuracy of EBV on diferent pedigree depth.

CNNSA3_2019_v46n2_293_t0005.png 이미지

References

  1. Choi TJ, Kim SD, Salces AJ, Baik DH. 2006. Genetic parameter estimation on the growth and carcass traits in Hanwoo (Korean cattle). Journal of Animal Science and Technology 48:759-766. [in Korean] https://doi.org/10.5187/JAST.2006.48.6.759
  2. Choi TJ, Lim DJ, Park BH, Sharma A, Kim JJ, Kim SD, Lee SH. 2017. Accuracy of genomic breeding value prediction for intramuscular fat using different genomic relationship matrices in Hanwoo (Korean cattle). Asian-Australasian Journal of Animal sciences 30:907-911. https://doi.org/10.5713/ajas.15.0983
  3. Chung KY, Lee SH, Cho SH, Kwon EG, Lee JH. 2018. Current situation and future prospects for beef production in South Korea - A review. Asian-Australasian Journal of Animal sciences 31:951-960. https://doi.org/10.5713/ajas.18.0187
  4. Gilmour A, Gogel B, Cullis B, Welham S, Thompson R. 2015. ASReml user guide. Ver 4.1. VSN international ltd., Hemel hempstead, UK.
  5. Hayes B, Goddard M. 2001. Prediction of total genetic value using genome-wide dense marker maps. GENETICS 157:1819-1829. https://doi.org/10.1093/genetics/157.4.1819
  6. Hwang YH, Kim GD, Jeong JY, Hur SJ, Joo ST. 2010. The relationship between muscle fiber characteristics and meat quality traits of highly marbled Hanwoo (Korean native cattle) steers. Meat Science 86:456-461. https://doi.org/10.1016/j.meatsci.2010.05.034
  7. Kim HS, Hwang JM, Choi TJ, Park BH, Cho KH, Park CJ, Kim SD. 2010. Research on the reformation of the selection index for Hanwoo proven bull. Journal of Animal Science and Technology 52:83-90. https://doi.org/10.5187/JAST.2010.52.2.083
  8. Kim SD, Alam M, Park MN. 2017. Breeding initiatives for Hanwoo cattle to thrive as a beef industry - A review study. Journal of Animal Breeding and Genomics 1:102-124.
  9. Lee SH, Kim UH, Dang CG, Aditi S, Kim HC, Yeon SH, Jeon GJ, Chang SS, Oh SJ, Lee HK, Yang BS, Kang HS. 2013. Strategies to multiply elite cow in Hanwoo small farm. Journal of Embryo Transfer 28:79-85. https://doi.org/10.12750/JET.2013.28.2.79
  10. Lee SH, Park BH, Sharma A, Dang CG, Lee SS, Choi TJ, Choy YH, Kim HC, Kim SD, Yeon SH, Park SB, Kang HS. 2014. Hanwoo cattle: Origin, domestication, breeding strategies and genomic selection. Journal of Animal Science and Technology 56:2. https://doi.org/10.1186/2055-0391-56-2
  11. Park BH, Choi TJ, Kim SD, Oh SH. 2013. National genetic evaluation (system) of Hanwoo (Korean native cattle). Asian-Australasian Journal of Animal Sciences 26:151-156. https://doi.org/10.5713/ajas.2012.12439
  12. Park MN, Kim YK, Lim DJ, Dang CG, Gondro C, Park BH, Kim SD, Lee SH. 2017. Factor affecting estimated breeding value of cow from pedigree and progeny records in Hanwoo. Journal of Animal Breeding and Genomics 1:31-39. [in Korean]
  13. Yun JW, Park SY, Park HR, Eum SH, Roh SH, Seo JK, Cho SK, Kim BW. 2016. Estimation of growth curve in Hanwoo steers using progeny test records. Korean Journal of Agricultural Science 43:623-633. [in Korean] https://doi.org/10.7744/kjoas.20160065
  14. MAFRA (Ministry of Agriculture, Food, and Rural Affairs). 2017. Main statics in agriculture, livestock, and food. MAFRA, Sejong, Korea.
  15. Kinghorn B, Kinghorn AJ. 2010. Pedigree viewer. Ver. 6.5. University of New England, Armidale, Australia.