• Title/Summary/Keyword: Genetic evaluation

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국내 두록종 농장간 유전적 연결성 추정 (Evaluation of the Degrees of Genetic Connectedness Among Duroc Breed Herds)

  • 조충일;최재관;박병호;김시동;권오섭;최유림;최연호
    • Journal of Animal Science and Technology
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    • 제54권5호
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    • pp.337-340
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    • 2012
  • 돼지에서 농장간 유전적 연결성은 다른 농장간 추정 육종가의 비교를 위해 매우 중요한 지표이다. 본 연구에서는 유전적 연결고리가 존재하는 6개의 두록 농장에서 수집된 24,971두의 90 kg 도달 일령에 대한 검정자료 및 456,697두의 혈통정보를 이용하였으며, 농장간 연결성은 연결율 수식에 의해 계산하였다. 분석 결과, 두록 농장간 교류를 위하여 총 8두에서 생산된 정액이 사용된 것으로 나타났다. A 농장은 8두의 종돈을 통하여 나머지 5개 농장과 모두 종돈 교류가 이루어졌으며, B-E 농장의 경우 F 농장을 제외한 나머지 4개 농장과의 종돈 교류가 있었으며, F 농장은 오직 A농장과 혈연적인 연결이 존재하는 것으로 나타났다. 그러나 F 농장은 A농장과의 연결을 통하여 나머지 다른 농장과 연결성을 갖게 되어 두록 6개 농장간 연결성이 존재하는 것으로 나타났다. 또한 농장간 연결율이 가장 높은 값은 A농장과 C 농장간의 91.7%로 6개의 두록 농장 중 농장간 연결율이 가장 높았으며, 반대로 D농장과 F 농장에서 65.1%로 가장 낮은 연결율을 나타냈다. 국내 6개 두록 종돈장간 연결율은 65% 이상으로 고도의 유전적 연결성이 존재하는 것으로 나타나 단일 집단의 개념에서 유전평가가 가능하며, 이를 이용하여 농장내외 개체간 상대적 비교를 통해 우수 종축을 선발할 수 있을 것으로 사료된다.

Genetic Parameters of Milk Yield and Milk Fat Percentage Test Day Records of Iranian Holstein Cows

  • Shadparvar, A.A.;Yazdanshenas, M.S.
    • Asian-Australasian Journal of Animal Sciences
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    • 제18권9호
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    • pp.1231-1236
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    • 2005
  • Genetic parameters for first lactation milk production based on test day (TD) records of 56319 Iranian Holstein cows from 655 herds that first calved between 1991 and 2001 were estimated with restricted maximum likelihood method under an Animal model. Traits analyzed were milk yield and milk fat percentage. Heritability for TD records were highest in second half of the lactation, ranging from 0.11 to 0.19 for milk yield and 0.038 to 0.094 for milk fat percentage respectively. Estimates for lactation records for these traits were 0.24 and 0.26 respectively. Genetic correlations between individual TD records were high for consecutive TD records (>0.9) and decreased as the interval between tests increased. Estimates of genetic correlations of TD yield with corresponding lactation yield were highest (0.78 to 0.86) for mid-lactation (TD3 to TD8). Phenotypic correlations were lower than corresponding genetic correlations, but both followed the same pattern. For milk fat percentage no clear pattern was found. Results of this study suggested that TD yields especially in mid-lactation may be used for genetic evaluation instead of 305-day yield.

Dairy Cows of High Genetic Merit for Yields of Milk, Fat and Protein - Review -

  • Norman, H.D.;Powell, R.L.
    • Asian-Australasian Journal of Animal Sciences
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    • 제12권8호
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    • pp.1316-1323
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    • 1999
  • Extensive emphasis on milk and milk fat yields with no diversion for beef performance increased the yield efficiency of North American dairy cattle. Heavy demand for North American genetics followed national strain comparison trials in Poland, and US and Canadian dairy cattle and germplasm still are an important source of genetics for many countries. Genetic improvement has accelerated in many countries because of the implementation of sampling programs for young bulls and improved evaluation procedures. Rapid access to information and more frequent calculation of genetic information also are having a positive impact on genetic improvement. Traits other than yield should be considered in a breeding program, but those traits mist have a reasonable opportunity for improvement and sufficient economic worth. Because of ever increasing efficiency, the world's milk supply comes from fewer cows each year. However, no decline in the rate of genetic improvement is apparent under current genetic practices; estimates of heritability are increasing, and a decline in yield efficiency is unlikely in the near future. As management improves, especially for subtropical conditions, many of the selection principles used in temperate climates will be adopted for more adverse environmental conditions.

Comparative Studies of Adriamycin and 28-Deacetyl Sendanin on In Vitro Growth Inhibition of Human Cancer Cell Lines

  • Kim, Hwan-Mook;Oh, Goo-Taeg;Han, Sang-Bae;Hong, Dong-Ho;Hwang, Bang-Yeon;Kim, Young-Ho;Lee, Jung-Joon
    • Archives of Pharmacal Research
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    • 제17권2호
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    • pp.100-103
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    • 1994
  • The limonoid compound (28-deacetyl sendanin0 isolated from the fruit of Melia toosendan SIEB. et ZUCC. was evaluated on anticancer activity. According to a standard in vitro cytotoxicity assy, eight human cancer cell lines and SRB assay were introduced for present evaluation. As a positive standard, adriamycin was tested in parallel. The cell lines were originated from six different organs. In view of dose-response profiles to 28-deacetyl sendanin, the most sensitive cells were SF-539 and PC-3 which were derived from CNS and prostate, respecitively. In contrast, all the cell lines responded similarly to adriamycin to give rise to nearly indentical six cell lines were more sensitive to 28-deacetyl sendanin and two were more resistant. As a result, 28-deacetyl sendanin had more senstive and selective inhibitory effects on in vitro growth of human cancer cell lines in a comparison with adriamycin.

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Genotype by environment interaction for somatic cell score in Holstein cattle of southern Brazil via reaction norms

  • Mulim, Henrique Alberto;Pinto, Luis Fernando Batista;Valloto, Altair Antonio;Pedrosa, Victor Breno
    • Animal Bioscience
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    • 제34권4호
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    • pp.499-505
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    • 2021
  • Objective: The objective of this study was to evaluate the genetic behavior of a population of Holstein cattle in response to the variation of environmental temperature by analyzing the effects of genotype by environment interaction (GEI) through reaction norms for the somatic cell score (SCS). Methods: Data was collected for 67,206 primiparous cows from the database of the Paraná Holstein Breeders Association in Brazil, with the aim of evaluating the temperature effect, considered as an environmental variable, distinguished under six gradients, with the variation range found being 17℃ to 19.5℃, over the region. A reaction norm model was adopted utilizing the fourth order under the Legendre polynomials, using the mixed models of analysis by the restricted maximum likelihood method by the WOMBAT software. Additionally, the genetic behavior of the 15 most representative bulls was assessed, in response to the changes in the temperature gradient. Results: A mean score of 2.66 and a heritability variation from 0.17 to 0.23 was found in the regional temperature increase. The correlation between the environmental gradients proved to be higher than 0.80. Distinctive genetic behaviors were observed according to the increase in regional temperature, with an observed increase of up to 0.258 in the breeding values of some animals, as well as a reduction in the breeding of up to 0.793, with occasional reclassifications being observed as the temperature increased. Conclusion: Non-relevant GEI for SCS were observed in Holstein cattle herds of southern Brazil. Thus, the inclusion of the temperature effect in the model of genetic evaluation of SCS for the southern Brazilian Holstein breed is not required.

A Genetic Algorithm Approach to the Fire Sequencing Problem

  • Kwon, O-Jeong
    • 한국국방경영분석학회지
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    • 제29권2호
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    • pp.61-80
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    • 2003
  • A fire sequencing problem is considered. Fire sequencing problem is a kind of scheduling problem that seeks to minimize the overall time span under a result of weapon­target allocation problem. The assigned weapons should impact a target simultaneously and a weapon cannot transfer the firing against another target before all planned rounds are consumed. The computational complexity of the fire sequencing problem is strongly NP­complete even if the number of weapons is two, so it is difficult to get the optimal solution in a reasonable time by the mathematical programming approach. Therefore, a genetic algorithm is adopted as a solution method, in which the representation of the solution, crossover and mutation strategies are applied on a specific condition. Computational results using randomly generated data are presented. We compared the solutions given by CPLEX and the genetic algorithm. Above $7(weapon){\times}15(target)$ size problems, CPLEX could not solve the problem even if we take enough time to solve the problem since the required memory size increases dramatically as the number of nodes expands. On the other hand, genetic algorithm approach solves all experimental problems very quickly and gives good solution quality.

다중 개체군 유전자 알고리즘을 이용한 퍼지 규칙 최적화 (Fuzzy Rule Optimization Using a Multi-population Genetic Algorithm)

  • 류시열;장원빈;권기호
    • 전자공학회논문지C
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    • 제36C권8호
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    • pp.54-61
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    • 1999
  • 본 논문은 퍼지 규칙 베이스와 소속함수의 모양을 결정하기 위해서, 유전적 다양성을 개선시키는 변형 유전자 알고리즘의 하나인 다중 개체군 유전자 알고리즘(MGA)을 적용하였다. 대부분 퍼지 제어를 위한 퍼지 규칙 베이스의 일반화는 전문가의 경험에 의해 많이 좌우된다. 이러한 점을 개선하여 퍼지 규칙을 최적화하기 위한 방법으로 새로운 평가함수를 제안한다. 시뮬레이션 결과는 제안한 방법이 우수함을 보여준다.

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병렬 컴퓨터 시스템에서의 FFT 데이터 흐름도에 관한 유전 스케줄링 알고리즘 (Genetic Scheduling Algorithm for FFT Dta Flows in Parallel Computers)

  • 박월선;김금호;서루비;윤성대
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.161-164
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    • 2000
  • We propose the genetic algorithm to apply three kinds of FFT data flows to be considered the overhead for the data exchange between processors that have the multi-scheduling problem on parallel computer In the design of genetic algorithm, we propose the chromosome representation which can simply encode and decode a solution without any heuristic information, the evaluation function to be considered an efficiency of processor, and the genetic operator to inherit a superior gene from their parents. And we saw that the simulation result can verify better performance than the existing algorithm(BEA : binary exchange algorithm)in the face of execution time.

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이산공간에서 순차적 알고리듬(SOA)을 이용한 전역최적화 (Global Optimization Using a Sequential Algorithm with Orthogonal Arrays in Discrete Space)

  • 조범상;이정욱;박경진
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2004년도 추계학술대회
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    • pp.858-863
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    • 2004
  • In the optimized design of an actual structure, the design variable should be selected among any certain values or corresponds to a discrete design variable that needs to handle the size of a pre-formatted part. Various algorithms have been developed for discrete design. As recently reported, the sequential algorithm with orthogonal arrays(SOA), which is a local minimum search algorithm in discrete space, has excellent local minimum search ability. It reduces the number of function evaluation using orthogonal arrays. However it only finds a local minimum and the final solution depends on the initial value. In this research, the genetic algorithm, which defines an initial population with the potential solution in a global space, is adopted in SOA. The new algorithm, sequential algorithm with orthogonal arrays and genetic algorithm(SOAGA), can find a global solution with the properties of genetic algorithm and the solution is found rapidly with the characteristics of SOA.

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