• Title/Summary/Keyword: Pedigree Index

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The Outcomes of Selection in a Closed Herd on a Farm in Operation

  • Do, ChangHee;Yang, ChangBeom;Choi, JaeGwan;Kim, SiDong;Yang, BoSeok;Park, SooBong;Joo, YoungGuk;Lee, SeokHyun
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.9
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    • pp.1244-1251
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    • 2015
  • A herd of Berkshire pigs was established in 2003 and subjected to selection without introduction of any genetic resources until 2007. The complete pedigree, including 410 boars and 916 sows, as well as the records from 5,845 pigs and 822 litters were used to investigate the results obtained from the selections. The index of selection for breeding values included days to 90 kg (D90kg), backfat thickness (BF) and number of piglets born alive (NBA). The average inbreeding coefficients of pigs were found to be 0.023, 0.008, 0.013, 0.025, 0.026, and 0.005 from 2003 to 2007, respectively. The genetic gains per year were 12.1 g, -0.04 mm, -3.13 days, and 0.181 head for average daily gain (ADG), BF, D90kg, and NBA, respectively. Breeding values of ADG, BF and D90kg were not significantly correlated with inbreeding coefficients of individuals, except for NBA (-0.21). The response per additional 1% of inbreeding was 0.0278 head reduction in NBA. The annual increase of inbreeding was 0.23% and the annual decrease in NBA due to inbreeding was 0.0064 head. This magnitude could be disregarded when compared with the annual gain in NBA (0.181 head). These results suggest that inbreeding and inbreeding depression on ordinary farms can be controlled with a proper breeding scheme and that breeding programs are economical and safe relative to the risks associated with importation of pigs.

Study on the Application of Ultrasound Traits as Selection Trait in Hanwoo (한우 선발형질로써 초음파 형질의 활용방안 연구)

  • Choi, Tae Jeong;Choy, Yun Ho;Park, Byoungho;Cho, Kwang Hyun;Alam, M;Kang, Ha Yeon;Lee, Seung Soo;Lee, Jae Gu
    • Journal of agriculture & life science
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    • v.51 no.2
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    • pp.117-126
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    • 2017
  • Hanwoo young bulls are selected based on performance test using the weight at 12 months and pedigree index comprising marbling score. Pedigree index was not based on the progeny tested data but the breeding value of the proven bulls; resulting a lower accuracy. The progeny testing of the young bulls was categorized into testing at farm and at the test station. The farm tested data was difficult to compare with those from test station data. Farm tested bulls had different slaughter ages than those for test station bulls. Therefore, this study had considered a different age at slaughter for respective records on ultrasound traits. Records on body weight at 12 months, ultrasound measures at 12 and 24 months(uIMF, uEMA, uBFT, and uRFT), and carcass traits(CWT, EMA, BFT, and MS) were collected from steers and bulls of Hanwoo national improvement scheme between 2008 and 2013. Fixed effects of batch, test date, test station, personnel for measurement, personnel for judging, and a linear covariate of weight at measurement were fitted in the animal models for ultrasound traits. The ranges of heritability estimates of the ultrasound traits at 12 and 24 months were 0.21-0.43 and 0.32-0.47, respectively. Ultrasound traits at 12 and 24 months between similar carcass traits was genetically correlated at 0.52-0.75 and 0.86-0.89, respectively.

Genetic Diversity and Identification of Korean Grapevine Cultivars using SSR Markers (SSR마커를 이용한 국내육성 포도 품종의 다양성과 품종 판별)

  • Cho, Kang-Hee;Bae, Kyung-Mi;Noh, Jung Ho;Shin, Il Sheob;Kim, Se Hee;Kim, Jeong-Hee;Kim, Dae-Hyun;Hwang, Hae-Sung
    • Korean Journal of Breeding Science
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    • v.43 no.5
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    • pp.422-429
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    • 2011
  • This study was conducted to investigate the genetic diversity and to develop a technique for cultivar identification using SSR markers in grapevine. Thirty Korean bred and introduced grapevine cultivars were evaluated by 28 SSR markers. A total of 143 alleles were produced ranging from 2 to 8 alleles with an average of 5.1 alleles per locus. Polymorphic information contents (PIC) were ranged from 0.666 (VVIp02) to 0.975 (VVIn33 and VVIn62) with an average of 0.882. UPGMA (unweighted pair-group method arithmetic average) clustering analysis based on genetic distances using 143 alleles classified 30 grapevine cultivars into 7 clusters by similarity index of 0.685. Similarity values among the tested grapevine cultivars ranged from 0.575 to 1.00, and the average similarity value was 0.661. The similarity index was the highest (1.00) between 'Jinok' and 'Campbell Early', and the lowest (0.575) between 'Alden' and 'Narsha'. The genetic relationships among the 30 studied grapevine cultivars were basically consistent with the known pedigree. The three SSR markers sets (VVIn61, VVIt60, and VVIu20) selected from 28 primers were differentiated all grapevine cultivars except for 'Jinok' and 'Campbell Early'. Five cultivars ('Narsha, 'Alden', 'Dutchess', 'Pione', and 'Muscat Hamburg') were identified by VVIn61 at the first step. Then 21 cultivars including 'Hongsodam' by VVIt60 at the second step and 2 cultivars ('Heukbosuck' and 'Suok') by VVIu20 at the third step were identified. These markers could be used as a reliable tool for the identification of Korean grapevine cultivars.

Genetic parameters of milk and lactation curve traits of dairy cattle from research farms in Thailand

  • Pangmao, Santi;Thomson, Peter C.;Khatkar, Mehar S.
    • Animal Bioscience
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    • v.35 no.10
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    • pp.1499-1511
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    • 2022
  • Objective: This study was aimed to estimate the genetic parameters, including genetic and phenotypic correlations, of milk yield, lactation curve traits and milk composition of Thai dairy cattle from three government research farms. Methods: The data of 25,789 test-day milk yield and milk composition records of 1,468 cattle from lactation 1 to 3 of Holstein Friesian (HF) and crossbred HF dairy cattle calved between 1990 and 2015 from three government research farms in Thailand were analysed. 305-day milk yield was estimated by the Wood model and a test interval method. The Wood model was used for estimating cumulative 305-day milk yield, peak milk yield, days to peak milk yield and persistency. Genetic parameters were estimated using linear mixed models with herd, breed group, year and season of calving as fixed effects, and animals linked to a pedigree as random effects, together with a residual error. Univariate models were used to estimate variance components, heritability, estimated breeding values (EBVs) and repeatability of each trait, while pairwise bivariate models were used to estimate covariance components and correlations between traits in the same lactation and in the same trait across lactations. Results: The heritability of 305-day milk yield, peak milk yield and protein percentage have moderate to high estimates ranging from 0.19 to 0.45 while days to peak milk yield, persistency and fat percentage have low heritability ranging from 0.08 to 0.14 in lactation 1 cows. Further, heritability of most traits considered was higher in lactation 1 compared with lactations 2 and 3. For cows in lactation 1, high genetic correlations were found between 305-day milk yield and peak milk yield (0.86±0.07) and days to peak milk yield and persistency (0.99±0.02) while estimates of genetic correlations between the remaining traits were imprecise due to the high standard errors. The genetic correlations within the traits across lactation were high. There was no consistent trend of EBVs for most traits in the first lactation over the study period. Conclusion: Both the Wood model and test interval method can be used for milk yield estimates in these herds. However, the Wood model has advantages over the test interval method as it can be fitted using fewer test-day records and the estimated model parameters can be used to derive estimates of other lactation curve parameters. Milk yield, peak milk yield and protein percentage can be improved by a selection and mating program while days to peak milk yield, persistency and fat percentage can be improved by including into a selection index.

Effects of SNP Markers of the Apolipoprotein E (APOE) Gene on Meat Quantity and Quality Traits in Korean Cattle (한우 아포지단백질 E (APOE) 유전자의 SNP Marker가 육량 및 육질형질에 미치는 영향)

  • Shin, Ki-Hyun;Shin, Sung-Chul;Chung, Ku-Young;Chung, Eui-Ryong
    • Food Science of Animal Resources
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    • v.29 no.1
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    • pp.108-113
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    • 2009
  • Apolipoprotein E (APOE) is a plasma lipoprotein in mammals and plays an important role in the transport and metabolism of lipids such as phospholipids and triglycerides. Therefore, the APOE gene could be a candidate gene controlling lipid metabolism in beef cattle. This study was performed to identify single nucleotide polymorphisms (SNP) in the APOE gene and to investigate the effects of SNP genotype on the carcass traits such as meat quantity and quality in Korean cattle. For PCR amplification, pooled DNA made from unrelated 60 individuals was prepared and primer pairs were designed based on the cDNA sequence of exon 4 region of the bovine APOE gene. A SNP was identified at position 2034 (T/C substitution) of the exon 4 region in the APOE gene. PCR-RFLP procedure with restriction enzyme ACC I was developed for determining the SNP genotype for each of a total of 309 animals with pedigree information and performance records through the national progeny testing program. The frequencies of the genotypes TT, TC and CC were 10.9, 46.9 and 42.2%. Gene frequencies were 0.344 for T allele and 0.656 for C allele. The g.2034T>C SNP genotype showed a significant effect (p<0.05) on dressing percentage and meat color, respectively. Animals with the TT genotype showed higher dressing percentage than those with the CC genotype, and TT genotype had desirable meat color compared with CC genotype. These results suggest that the g.2034T>C SNP genotype of the APOE gene may be useful as a DNA marker for meat quantity index and dressing percentage in Korean cattle.

An Empirical Study on Verifying the Estimated Discrimination and Parentage Test Powers of the 13 Traceability Microsatellite Markers for Commercial Pigs Produced by a Three-way Cross (3원교잡 비육돈 집단에 대한 이력추적용 13 Microsatellite Marker의 판별효율 및 혈연관계 추정효율 실증 연구)

  • Lim, Hyun-Tae;Kim, Byeong-Woo;Cho, In-Cheol;Yoo, Chae-Kyoung;Park, Moon-Sung;Park, Hee-Bok;Lee, Jae-Bong;Lee, Jung-Gyu;Jeon, Jin-Tae
    • Journal of Animal Science and Technology
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    • v.53 no.1
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    • pp.29-34
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    • 2011
  • Using the materials collected from nine farms in a three-way cross system to produce commercial pigs produced from F1 sows (Landrace $\times$ Large White) $\times$ Duroc, the power of individual discrimination and parentage of the 13 microsatellite (MS) marker set that has been suggested for individual/brand identification (traceability) was empirically tested. Initially, genotypes of the parental population ($F_1$ sows and Duroc), and commercial pigs were determined and the genotype frequency and polymorphic index were estimated using the Cervus 2.0 program. The probability of identity among genotypes of random individuals, that random half sibs and that of full sib individuals, based on the genotypes from 91 $F_1$ sows and Duroc were expected to be $4.94{\times}10^{-34}$, $8.16{\times}10^{-23}$ and $2.01{\times}10^{-08}$, respectively, using the API-CALC version 1.0 program. When commercial pigs were included, the estimates increased to $3.74{\times}10^{-35}$, $5.48{\times}10^{-25}$ and $2.96{\times}10^{-11}$, respectively. For the empirical verification of the estimated powers of individual discrimination and parentage, the parentage test was performed for 452 commercial pigs using PAPA version 2.0, and individuals with the same genotype were investigated using the Cervus version 2.0 program. Parents for all commercial pigs were successfully estimated and no identical individual was identified in the pedigree. Although the individual discriminating power was not fully verified because of the lack of individuals corresponding with the theoretical power, the 100% efficiency of parentage test was clearly confirmed. Therefore, we believe that the 13 MS marker set in conjunction with management record/information for the pig production kept in a farm/brand should be useful in the pork traceability in a brand unit.