Lee, Seung Hwan
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Kim, Ui Hyung
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Dang, Chang Gwan
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Aditi, Sharma
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Kim, Hyeong Cheul
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Yeon, Seung Heum
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Jeon, Gi Jun
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Chang, Sun Sik
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Oh, Sung Jong
(Department of Animal Biotechnology, Jeju National University)
,
Lee, Hak Kyo
(Department of Animal Biotechnology, Hankyung National University)
,
Yang, Bo Suk
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
,
Kang, Hee Seol
(Hanwoo Experiment Station, National Institute of Animal Science, RDA)
The recent development in genetic assisted selection (combining traditional- and genome assisted selection method) and reproduction technologies will allow multiplying elite cow in Hanwoo small farm. This review describes the new context and corresponding needs for genome assisted selection schemes ...
The recent development in genetic assisted selection (combining traditional- and genome assisted selection method) and reproduction technologies will allow multiplying elite cow in Hanwoo small farm. This review describes the new context and corresponding needs for genome assisted selection schemes and how reproductive technologies can be incorporated to get more genetic gain for cow genetic improvement in Hanwoo. New improved massive phenotypes and pedigree information are being generated from commercial farm sector and these are allowing to do genetic evaluation using BLUP to get elite cows in Korea. Moreover cattle genome information can now be incorporated into breeding program. In this context, this review will discuss about combining the reproductive techniques (Multiple Ovulation Embryo Transfer; MOET) and genome assisted selection method to get more genetic gain in Hanwoo breeding program. Finally, how these technologies can be used for multiplication of elite cow in small farm was discussed.
The recent development in genetic assisted selection (combining traditional- and genome assisted selection method) and reproduction technologies will allow multiplying elite cow in Hanwoo small farm. This review describes the new context and corresponding needs for genome assisted selection schemes and how reproductive technologies can be incorporated to get more genetic gain for cow genetic improvement in Hanwoo. New improved massive phenotypes and pedigree information are being generated from commercial farm sector and these are allowing to do genetic evaluation using BLUP to get elite cows in Korea. Moreover cattle genome information can now be incorporated into breeding program. In this context, this review will discuss about combining the reproductive techniques (Multiple Ovulation Embryo Transfer; MOET) and genome assisted selection method to get more genetic gain in Hanwoo breeding program. Finally, how these technologies can be used for multiplication of elite cow in small farm was discussed.
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문제 정의
In conclusion, after National traceability system is running from 2007, Hanwoo smallholder will be able to collect abattoir carcass traits from the Korea Institute for Animal Products Quality Evaluation (KAPE), and massive pedigree information for registered animals are recorded by Animal Genetic Improvement Association (AIAK). These data lead to do a genetic evaluation of cow in smallholder to selection elite cow for breeding. Moreover, combining genomic tools and reproduction technology will allow reducing generation interval and easily multiplying elite cow for breeding in Hanwoo smallholder.
This review will describe each of the technology and how it will impact combining each of the technologies in genetic improvement of Hanwoo cow population.
제안 방법
The HPPT program was implemented in 1983 and produced the first proven bulls in 1987. As shown in Fig. 1, the program used two stage selection comprising a performance test for young bulls, followed by a progeny test of selected young bulls (n=40). Young bull calves (n=400) of current proven bulls were harvested at the age of 6 months from HGN belonging to HGD based on their phenotypic values and underwent a performance test up to age of 12 months.
In order to assess genetic evaluation for cow genetic performance, phenotypic data such as carcass weight (CWT), marbling score (MAR), back fat thickness (BF) and eye muscle area (EMA) including management information (for example, birth day, feeding, feedlot age and slaughter age etc), growth traits (body weight at 12, 18 and 24 month of age) and body stature of the cow progeny as well as pedigree data are required. In particular, as for the cow breeding in Hanwoo smallholder, genetic performance should be predicted based on either a traditional genetic evaluation system which uses well recorded phenotypic and pedigree data or genomic information of large reference population.
대상 데이터
These steers were raised in a group until slaughter at 24 months. Carcass data comprised eye muscle area (EMA), back-fat thickness (BF), marbling score (MAR), and carcass weight (CWT). Based on the progeny test results 20 bulls are selected into the AI program.
이론/모형
Production traits of cattle can be considered to be controlled by many genes which individually have only a small effect. This hypothesis has underpinned the best linear unbiased prediction (BLUP) method for estimation of animal breeding value (Henderson, 1984). However, after the human genome sequencing was completed, Ewing and Green (2000) proposed that the number of genes which actively impact on traits may be as low as 20,000~25,000 across the whole genome.
성능/효과
7 which is very higher than we expected. Based on the EPD for 4 traits (carcass weight, eye muscle area, back fat thickness and marbling score), around 200 cow was in 5% higher group ant the other 200 cow was very inferior for carcass traits. This kind of information (EPD value) will be helpful to make a decision for replacement animal and culling animals in Hanwoo smallholder.
In conclusion, after National traceability system is running from 2007, Hanwoo smallholder will be able to collect abattoir carcass traits from the Korea Institute for Animal Products Quality Evaluation (KAPE), and massive pedigree information for registered animals are recorded by Animal Genetic Improvement Association (AIAK). These data lead to do a genetic evaluation of cow in smallholder to selection elite cow for breeding.
참고문헌 (17)
Allen J. 2001. An Overview of BREEDPLAN. ACIAR PROCEEDINGS NO. 108: 105-113.
Cundiff LV, Gregory KE, Koch RM and Dickerson GE. 1969.Genetic variation in total and differential growth of carcass components in beef cattle. J. Anim. Sci. 29: 233-244.
Henderson CR. 1984. Applications of Linear Models in Animal Breeding. Can. Catal. Publ. Data, Univ. Guelph, Canada. pp. 1-130.
Hayes BJ. 2008. QTL Mapping, MAS and Genomic Selection. Text Book for Armidale Summer Animal Breeding Course. pp. 30-38.
Kim HS, Hwang JM, Choi TJ, Park BH, Cho KH, Park CJ and Kim S. 2010. Research on the peformation of the selection index for Hanwoo proven bull. Journal of Animal Science and Technology 52(2):83-90.
Kim HC, Lee SH, Cho YM, Kim S, Lim D, Park EW, Oh SJ and Hong SK. 2011. Genomic information and its application in Hanwoo (Korean Native Cattle) breeding program-A mini review. Annals of Animal Resource Sciences 22(2):125-133.
Koch RM, Gregory KE and Cundiff LV. 1995. Genetic aspects of beef carcass growth and development. Proc. 5th Genetic Prediction Worship, Kansas City, MO. PP. 9.
Koo YM, Kim S, Kim JI, Song CE, Lee KH, Jeoung YH, Lee JY, Jang HG, Park BH, Choi TJ, Cho KH, Lee SS, Lee JG and Kim HS. 2011. Research of statistical model for genetic evaluation of Hanwoo carcass traits. J. Anim. Sci.& Technol. (Kor.). 53(4): 283-288.
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