• Asian-Australasian Journal of Animal Sciences
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• 제11권2호
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• pp.117-120
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• 1998

Relationships of breeding values of sires for first lactation milk yield with pedigree information or indices were examined to identify the optimal criteria of selecting young dairy bulls for future use in artificial insemination (AI). Records of performance data on 1087 crossbred daughters (Holstein - Friesian, Jersey and Brown Swiss with Hariana) of 147 sires, generated at Livestock Production Research (Cattle and Buffaloes) Farm, IVRI, Izatnagar, U.P., during 1972 - 1995 were used to obtain the estimates of sire's breeding values (EBV) using the Best Linear Unbiased Prediction Procedures. The correlations between young bull's EBV and the dam's first lactation milk yield was non-significantly different from zero. However, the young bull's EBV was negatively and significantly related (r = - 0.275 ; P < 0.05) to the dam's best lactation milk yield, suggesting that the selection of young dairy bulls from high yielding elite dams is not a suitable criteria for genetic improvement. The correlations of sire's and paternal grandsire's EBV's with young bull's EBV were high and positive (0.532, 0.844; P < 0.01). The maternal grandsire's EBV was positively but non-significantly related to grandson's EBV. The pedigree index incorporating dam's milk records and sire's EBV's showed a negative and non-significant correlation with young bull's EBV. However, the correlation of a pedigree index $(I_3)$ combining information on sire's and paternal grand-sire's EBV's with young bull's EBV's was considerably high and positive (0.797; P < 0.01). The regression coefficients of young bull's EBV on pedigree index $I_3$, was higher than those on other pedigree information. These results revealed that there was no advantage in basing selection on dam's performance or maternal grand-sire's EBV and that sire's and paternal grandsire's EBV's were reliable pedigree information for selection of young dairy bulls for future use in AI.

• 한국수정란이식학회지
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• 제15권1호
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• pp.33-38
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• 2000

This study was undertaken in an effort to select the sire bull in Hanwoo through in vitro fertilization of proven bull semen. It was used for in vitro fertilization that of the 20 proven bull semen with follicular oocytes derived from slaughterhouse ovaries of Hanwoo. The stage of maturation on the time course of bovine cumulus-enclosed oocytes incubated for 24 hours was found the highest(96.4%) than hose of other maturationi time. In vitro fertilization rate of bovine oocytes with proven bull sperm showed from 61.5 to 88.9%. Polyspermy of in vitro fertilized oocytes according to proven bulls were the highest KP 491(61.5%) nothing but KP 486, KP 491 and KP 497.

• Animal Bioscience
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• 제35권6호
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• pp.804-813
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• 2022

Objective: A formula is needed that is practical for current livestock breeding methods and that predicts the approximate rate of inbreeding (ΔF) in populations where selection is performed according to four-path programs (sires to breed sons, sires to breed daughters, dams to breed sons, and dams to breed daughters). The formula widely used to predict inbreeding neglects selection, we need to develop a new formula that can be applied with or without selection. Methods: The core of the prediction is to incorporate the long-tern genetic influence of the selected parents in four-selection paths executed as sires to breed sons, sires to breed daughters, dams to breed sons, and dams to breed daughters. The rate of inbreeding was computed as the magnitude that is proportional to the sum of squared long-term genetic contributions of the parents of four-selection paths to the selected offspring. Results: We developed a formula to predict the rate of inbreeding in populations undergoing four-path selection on genomically enhanced breeding values and with discrete generations. The new formula can be applied with or without selection. Neglecting the effects of selection led to underestimation of the rate of inbreeding by 40% to 45%. Conclusion: The formula we developed here would be highly useful as a practical method for predicting the approximate rate of inbreeding (ΔF) in populations where selection is performed according to four-path programs.

• Asian-Australasian Journal of Animal Sciences
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• 제33권10호
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• pp.1544-1557
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• 2020

Objective: Genomic selection (GS) is becoming popular in animals' genetic development. We, therefore, investigated the single-step genomic best linear unbiased prediction (ssGBLUP) as tool for GS, and compared its efficacy with the traditional pedigree BLUP (pedBLUP) method. Methods: A total of 9,952 males born between 1997 and 2018 under Hanwoo proven-bull selection program was studied. We analyzed body weight at 12 months and carcass weight (kg), backfat thickness, eye muscle area, and marbling score traits. About 7,387 bulls were genotyped using Illumina 50K BeadChip Arrays. Multiple-trait animal model analyses were performed using BLUPF90 software programs. Breeding value accuracy was calculated using two methods: i) Pearson's correlation of genomic estimated breeding value (GEBV) with EBV of all animals (r_M1) and ii) correlation using inverse of coefficient matrix from the mixed-model equations (r_M2). Then, we compared these accuracies by overall population, info-type (PHEN, phenotyped-only; GEN, genotyped-only; and PH+GEN, phenotyped and genotyped), and bull-types (YBULL, young male calves; CBULL, young candidate bulls; and PBULL, proven bulls). Results: The r_M1 estimates in the study were between 0.90 and 0.96 among five traits. The r_M1 estimates varied slightly by population and info-type, but noticeably by bull-type for traits. Generally average r_M2 estimates were much smaller than r_M1 (pedBLUP, 0.40 to0.44; ssGBLUP, 0.41 to 0.45) at population level. However, r_M2 from both BLUP models varied noticeably across info-types and bull-types. The ssGBLUP estimates of r_M2 in PHEN, GEN, and PH+ GEN ranged between 0.51 and 0.63, 0.66 and 0.70, and 0.68 and 0.73, respectively. In YBULL, CBULL, and PBULL, the r_M2 estimates ranged between 0.54 and 0.57, 0.55 and 0.62, and 0.70 and 0.74, respectively. The pedBLUP based r_M2 estimates were also relatively lower than ssGBLUP estimates. At the population level, we found an increase in accuracy by 2.0% to 4.5% among traits. Traits in PHEN were least influenced by ssGBLUP (0% to 2.0%), whereas the highest positive changes were in GEN (8.1% to 10.7%). PH+GEN also showed 6.5% to 8.5% increase in accuracy by ssGBLUP. However, the highest improvements were found in bull-types (YBULL, 21% to 35.7%; CBULL, 3.3% to 9.3%; PBULL, 2.8% to 6.1%). Conclusion: A noticeable improvement by ssGBLUP was observed in this study. Findings of differential responses to ssGBLUP by various bulls could assist in better selection decision making as well. We, therefore, suggest that ssGBLUP could be used for GS in Hanwoo proven-bull evaluation program.

• 한국수정란이식학회지
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• 제18권3호
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• pp.203-213
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• 2003

혈액성분과 경제형질들 간의 상관관계를 규명하는 일은 한우의 능력을 예측하고 예견되는 능력에 맞추어 사양관리와 판매처를 결정할 수 있고, 기존의 종축선발 체계와 결합시킴으로서 선발의 정확도를 향상시킬 수 있는 효과를 기대할 수 있으므로 나름대로 중요한 의미를 갖는다. 본 연구는 축산기술연구소에서 사육하고 있는 한우 866두의 혈액 중 호르몬과 대사물질을 분석하여 혈액성분과 경제형질과의 표현형 상관관계를 분석하고 혈액 내 유용한 생리적인 형질을 발굴하여 능력이 우수한 개체의 조기선발 가능성 구명과 선발 기술을 개발하여 한우개량에 또 다른 방법을 제시 하고자 실시하였다. 혈청성분들과 경제형질들 간의 표현형 상관계수를 거세우와 비거세우로 구분하여 추정한 결과 혈청성분들과 도체형질들 간의 주요 상관은 다음과 같다. 24개월 출하체중과 상관도가 높은 혈청은 거세우에서는 BUN이었고 비거세우에서는 albumin과 IGF-1이었으며, 비육말기 21∼24개월령의 일당증체량과 상관도가 높은 혈청은 거세우에서는 cal-cium이었고 비거세우에서는 albumin으로 증체와 관련 있는 혈청은 거세우에서는 calcium 비거세우에서는 albumin으로 나타났다. 육질과 관련 있는 등지방 두께 및 지방교잡도와 상관도가 가장 높은 혈청은 거세우와 비거세우 모두 BUN이었고, 육량등급의 근간이 되는 육량지수와 상관도가 높은 혈청은 거세우에서는 calcium이었으며 비거세우에서는 testosterone이었으나 육질과 상관이 높은 BUN은 거세우와 비거세우 모두가 육량지수와는 음의 상관을 나타내었다.

• Asian-Australasian Journal of Animal Sciences
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• 제32권2호
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• pp.159-169
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• 2019

Objective: Models for genomic selection assume that the reference population is an unselected population. However, in practice, genotyped individuals, such as progeny-tested bulls, are highly selected, and the reference population is created after preselection. In dairy cattle, the intensity of selection is higher in males than in females, suggesting that cows can be added to the reference population with less bias and loss of accuracy. The objective is to develop formulas applied to any genomic prediction studies or practice with preselected animals as reference population. Methods: We developed formulas for calculating the reliability and bias of genomically enhanced breeding values (GEBV) in the reference population where individuals are preselected on estimated breeding values. Based on the formulas presented, deterministic simulation was conducted by varying heritability, preselection percentage, and the reference population size. Results: The number of bulls equal to a cow regarding the reliability of GEBV was expressed through a simple formula for the reference population consisting of preselected animals. The bull population was vastly superior to the cow population regarding the reliability of GEBV for low-heritability traits. However, the superiority of reliability from the bull reference population over the cow population decreased as heritability increased. Bias was greater for bulls than cows. Bias and reduction in reliability of GEBV due to preselection was alleviated by expanding reference population. Conclusion: Cows are easier in expanding reference population size compared with bulls and alleviate bias and reduction in reliability of GEBV of bulls which are highly preselected than cows by expanding the cow reference population.

• Journal of Animal Science and Technology
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• 제52권2호
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• pp.83-90
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• 2010

본 연구를 통하여 도체성적에 대한 경제적 가치를 산출하고 이를 토대로 새로운 한우 보증씨수소 선발지수를 제안하였다. 선발지수는 경제적으로 중요한 형질에 필요한 만큼의 가중치를 주어 개체를 효과적으로 선발하는 데 도움을 주는 강력한 도구로써 농장에서 일어나는 수입과 지출을 고려하여 선발지수를 산출할 수 있다. 최근에는 이러한 선발지수를 농장에서 자기 농장에 알맞게 개발할 수있도록 인터넷을 통하여 서비스를 제공하고 있다 (Lazenby 등. 1998). 그러나 우리나라는 조수입의 산출은 가능하지만 경비를 정확히 산출할 수 있는 농가가 드물기 때문에 아직 농가차원에서 적절한 선발지수를 만들어 사용하는 것은 어려운 것으로 보인다. 또한 이러한 이유로 인하여 한우 보증씨수소를 선발함에 있어 비용부분을 고려하지 못하고 조수익에 의존하여 지수를 만들 수밖에 없는 문제를 안고 있다. 아울러 선발에서 고려할 수 있는 갈비생산량, 등심생산량, 안심생산량, 정육율 등 도체에서 얻을 수 있는 다양한 형질의 개발과 측정이 필요하고, 암소선발을 위해서는 농가의 번식기록을 통해 얻을 수 있는 번식형질에 대한 조사가 이루어져야 미국과 같이 다양한 선발지수를 개발하고 활용 (Greiner, 2006)하여 다양화로 나가는 소비시장에 적절히 대응해 나갈 수 있을 것이다.

• Asian-Australasian Journal of Animal Sciences
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• 제33권9호
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• pp.1411-1420
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• 2020

Objective: The aim of study was to investigate the effects of season and single layer centrifugation (SLC) before cryopreservation on post-thaw bull sperm quality in Thailand. Methods: Semen was collected from 6 bulls (Bos indicus) in summer, rainy season and winter 2014 through 2016. Semen characteristics, sperm morphology, sperm kinematics, viability, chromatin structure and mitochondrial membrane were evaluated. Meteorological data were available from the local meteorological station; Results: Season had an effect on semen characteristics in the raw ejaculate, with higher proportions of normal spermatozoa and lower abnormalities in winter than in the other two seasons. Sperm kinematics, viability, DNA fragmentation index, and mitochondrial membrane potential were not different between seasons. Sperm samples selected by SLC had greater normal morphology and a lower proportion with bent tails than controls and higher values of progressive motility (PRO), beat cross frequency, linearity, straightness, wobble (WOB), and lower values of slow motility, velocity average path (VAP), velocity curved line, and amplitude of lateral head displacement than controls. In addition, SLC-selection had a favorable effect on PRO, VAP, and WOB that differed among seasons. Conclusion: Our results suggested that these bulls were well adapted to their location, with season having an effect on sperm morphology. Moreover, SLC could be used prior to cryopreservation, regardless of season, to enhance normal morphology and kinematics of bull sperm samples without adversely affecting other parameters of sperm quality. However, there was considerable variation among bulls in DNA fragmentation index, mitochondrial membrane potential and sperm viability. In addition, SLC had a positive effect on sperm morphology and sperm kinematics, which could be expected to influence fertility.

• 품질경영학회지
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• 제23권1호
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• pp.95-105
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• 1995

The error structure of nonlinearized technological growth models, such as, the Pearl curve, the Gompertz curve and the Wei bull growth curve, has zero mean and a constant variance over time. Transformed models, however, like the linearized Fisher-Pry model. the linearized Gompertz growth curve, and the linearized Weibull growth curve have increasing variance from t = 0 to the inflection point.

• Asian-Australasian Journal of Animal Sciences
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• 제20권1호
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• pp.12-18
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• 2007

The objective of the study was to compare ranking of Sahiwal bulls selected on the basis of highest lactation milk yield of their dams with their estimated breeding values (EBVs) using an animal model. Data on 23,761 lactation milk yield records of 5,936 cows from five main Livestock Experiment Stations in Punjab province of Pakistan (1964-2004) were used for the study. At present the young A.I bulls are required to be from A-category bull-dams. Dams were categorized as A, B, C and D if they had highest lactation milk yield of ${\geq}$2,700, 2,250-2,699, 1,800-2,249 and <1,800 litres, respectively. The EBVs for lactation milk yield were estimated for all the animals using an individual animal model having fixed effect of herd-year and season of calving and random effect of animal. Fixed effect of parity and random effect of permanent environment were incorporated when multiple lactation were used. There were 396 young bulls used for semen collection and A.I during 1973-2004. However, progeny with lactation yields recorded, were available only for 91 bulls and dams could be traced for only 63 bulls. Overall lactation milk yield averaged 1,440.8 kg. Milk yield was 10% heritable with repeatability of 39%. Ranking bulls on highest lactation milk yield of their dams, the in-vogue criteria of selecting bulls, had a rank correlation of 0.167 (p<0.190) with ranking based on EBVs from animal model analysis. Bulls' EBVs for all lactations had rank correlation of 0.716 (p<0.001) with EBVs based on first lactation milk yield and 0.766 (p<0.001) with average EBVs of dam and sire (pedigree index). Ranking of bulls on highest lactation yield of their dams has no association with their ranking based on animal model evaluation. Young Sahiwal bulls should be selected on the basis of pedigree index instead of highest lactation yield of dams. This can help improve the genetic potential of the breed accruing to conservation and development efforts.