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

Sungbong Jang; So Yeon Kim; Soo-Hyun Lee; Min Gwang Shin; Jimin Kang; Dooho Lee; Sidong Kim; Seung Hee Noh; Seung Hwan Lee; Tae Jeong Choi

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자료유형: 학술저널

저자정보: Sungbong Jang (ChungNam National University) So Yeon Kim (ChungNam National University) Soo-Hyun Lee (ChungNam National University) Min Gwang Shin (ChungNam National University) Jimin Kang (ChungNam National University) Dooho Lee (ChungNam National University) Sidong Kim (RDA) Seung Hee Noh (Nation Agricultural Cooperative Federation) Seung Hwan Lee (ChungNam National University) Tae Jeong Choi

저널정보: 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.46 No.2

발행연도: 2019.6

수록면: 293 - 301 (9page)

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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.

#estimated breeding value (EBV) #number of progeny and best linear unbiased prediction (BLUP) #progeny test

참고문헌 (15)

참고문헌 신청

최태정 / 2006 / 한우의 성장 및 도체형질에 대한 유전모수 추정 / 한국축산학회지 48(6):759~766

최태정 / 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(7):907~911

Ki Yong Chung / 2018 / Current situation and future prospects for beef production in South Korea — A review / ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 31(7):951~960

Gilmour A / 2015 / ASReml user guide. Ver 4.1 / VSN international ltd

Hayes B / 2001 / Prediction of total genetic value using genome-wide dense marker maps / GENETICS 157:1819~1829

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