• 제목/요약/키워드: Genetic variance

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유전자 알고리즘을 이용한 트레이닝 최적화 기법 연구 - 정규분포를 고려한 통계적 영상분류의 경우 - (A Study on the Training Optimization Using Genetic Algorithm -In case of Statistical Classification considering Normal Distribution-)

  • 어양담;조봉환;이용웅;김용일
    • 대한원격탐사학회지
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    • 제15권3호
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    • pp.195-208
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    • 1999
  • 위성영상 분류작업에서 분류클래스에 대한 샘플화소의 대표성은 분류 정확도에 많은 영향을 미친다. 따라서, 통계적 영상분류방법에서는 분류 기법 자체보다 분류 확률을 결정하는 트레이닝 단계, 즉 샘플화소의 최적화가 필요하다. 본 연구에서는 SPOT XS, LANDSAT TM을 이용한 위성영상 화소분류작업에서 분류 이전단계, 즉 샘플화소의 정규성을 계산하여, 정규성에 악영향을 미치는 화소를 객관적 기준으로 조정하였다. 정규화과정을 위한 유전자 알고리즘 적용의 생존확률 평가함수로 다변량 Q-Q plot의 상관계수와 트레이닝의 분산값을 고려하였으며, 5% 유의수준을 적용하였다. 연구결과, 실험대상지역의 경우, 유전자 알고리즘을 이용한 트레이닝 정규화 결과가 대부분의 클래스에 대하여 그 평균과 분산을 모집단에 근사시키고 있다는 것을 입증하였고, 해당 클래스의 모집단 분포를 예측할 수 있는 가능성을 제시하였다.

AFLP 분석에 의한 한국과 일본의 납자루 Acheilognathus lanceolatus의 유전 변이와 집단 구조 (Genetic Variation and Population Structure of the Slender Bitterling Acheilognathus lanceolatus of Korea and Japan as Assessed by Amplified Fragment Length Polymorphism (AFLP) Analysis)

  • 윤영은;김치홍;김근용;석과수실;방연철
    • 한국어류학회지
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    • 제22권2호
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    • pp.115-120
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    • 2010
  • 납자루 Acheilognathus lanceolatus의 유전 변이와 집단 구조를 알아보기 한국의 5개 집단(한강과 금강, 동진강, 섬진강, 낙동강)과 일본의 1개 집단(Katsura River)을 대상으로 AFLP 분석을 수행하였다. 5개의 선택적 프라이머 조합에 의 해 검출된 집단별 유효 밴드의 수는 345~374개였으며, 다형성 밴드 수는 55 (15.0%)~131 (24.9%)개였다. 평균 유전적 다양성은 낙동강 집단이 가장 높은 값을 보였고 한강 집단이 가장 낮은 값을 보였다. 계통도 상에서 각 수계별로 채집된 개체는 각 집단별로 함께 분기하으며, 이들은 높은 bootstrap 값으로 지지되는 2개의 단계통군 또는 집단 그룹으로 나누어졌다. 한편 유전적 분화도($F_{ST}$)는 모든 집단 간에 유의적 차이를 보였다(P<0.01). 집단 그룹 간의 유전적 변이 수준을 알아보기 위해 AMOVA 분석을 실시한 결과 총 25.49%의 변이(P<0.01)을 보여 이들 집단 그룹은 유전적으로 명확히 구분되었다.

Accuracy of genomic-polygenic estimated breeding value for milk yield and fat yield in the Thai multibreed dairy population with five single nucleotide polymorphism sets

  • Wongpom, Bodin;Koonawootrittriron, Skorn;Elzo, Mauricio A.;Suwanasopee, Thanathip;Jattawa, Danai
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권9호
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    • pp.1340-1348
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    • 2019
  • Objective: The objectives were to compare variance components, genetic parameters, prediction accuracies, and genomic-polygenic estimated breeding value (EBV) rankings for milk yield (MY) and fat yield (FY) in the Thai multibreed dairy population using five single nucleotide polymorphism (SNP) sets from GeneSeek GGP80K chip. Methods: The dataset contained monthly MY and FY of 8,361 first-lactation cows from 810 farms. Variance components, genetic parameters, and EBV for five SNP sets from the GeneSeek GGP80K chip were obtained using a 2-trait single-step average-information restricted maximum likelihood procedure. The SNP sets were the complete SNP set (all available SNP; SNP100), top 75% set (SNP75), top 50% set (SNP50), top 25% set (SNP25), and top 5% set (SNP5). The 2-trait models included herd-year-season, heterozygosity and age at first calving as fixed effects, and animal additive genetic and residual as random effects. Results: The estimates of additive genetic variances for MY and FY from SNP subsets were mostly higher than those of the complete set. The SNP25 MY and FY heritability estimates (0.276 and 0.183) were higher than those from SNP75 (0.265 and 0.168), SNP50 (0.275 and 0.179), SNP5 (0.231 and 0.169), and SNP100 (0.251and 0.159). The SNP25 EBV accuracies for MY and FY (39.76% and 33.82%) were higher than for SNP75 (35.01% and 32.60%), SNP50 (39.64% and 33.38%), SNP5 (38.61% and 29.70%), and SNP100 (34.43% and 31.61%). All rank correlations between SNP100 and SNP subsets were above 0.98 for both traits, except for SNP100 and SNP5 (0.93 for MY; 0.92 for FY). Conclusion: The high SNP25 estimates of genetic variances, heritabilities, EBV accuracies, and rank correlations between SNP100 and SNP25 for MY and FY indicated that genotyping animals with SNP25 dedicated chip would be a suitable to maintain genotyping costs low while speeding up genetic progress for MY and FY in the Thai dairy population.

Genetic Analysis of Milk Yield in First-Lactation Holstein Friesian in Ethiopia: A Lactation Average vs Random Regression Test-Day Model Analysis

  • Meseret, S.;Tamir, B.;Gebreyohannes, G.;Lidauer, M.;Negussie, E.
    • Asian-Australasian Journal of Animal Sciences
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    • 제28권9호
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    • pp.1226-1234
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    • 2015
  • The development of effective genetic evaluations and selection of sires requires accurate estimates of genetic parameters for all economically important traits in the breeding goal. The main objective of this study was to assess the relative performance of the traditional lactation average model (LAM) against the random regression test-day model (RRM) in the estimation of genetic parameters and prediction of breeding values for Holstein Friesian herds in Ethiopia. The data used consisted of 6,500 test-day (TD) records from 800 first-lactation Holstein Friesian cows that calved between 1997 and 2013. Co-variance components were estimated using the average information restricted maximum likelihood method under single trait animal model. The estimate of heritability for first-lactation milk yield was 0.30 from LAM whilst estimates from the RRM model ranged from 0.17 to 0.29 for the different stages of lactation. Genetic correlations between different TDs in first-lactation Holstein Friesian ranged from 0.37 to 0.99. The observed genetic correlation was less than unity between milk yields at different TDs, which indicated that the assumption of LAM may not be optimal for accurate evaluation of the genetic merit of animals. A close look at estimated breeding values from both models showed that RRM had higher standard deviation compared to LAM indicating that the TD model makes efficient utilization of TD information. Correlations of breeding values between models ranged from 0.90 to 0.96 for different group of sires and cows and marked re-rankings were observed in top sires and cows in moving from the traditional LAM to RRM evaluations.

Estimation of genetic parameters and trends for production traits of dairy cattle in Thailand using a multiple-trait multiple-lactation test day model

  • Buaban, Sayan;Puangdee, Somsook;Duangjinda, Monchai;Boonkum, Wuttigrai
    • Asian-Australasian Journal of Animal Sciences
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    • 제33권9호
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    • pp.1387-1399
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    • 2020
  • Objective: The objective of this study was to estimate the genetic parameters and trends for milk, fat, and protein yields in the first three lactations of Thai dairy cattle using a 3-trait,-3-lactation random regression test-day model. Methods: Data included 168,996, 63,388, and 27,145 test-day records from the first, second, and third lactations, respectively. Records were from 19,068 cows calving from 1993 to 2013 in 124 herds. (Co) variance components were estimated by Bayesian methods. Gibbs sampling was used to obtain posterior distributions. The model included herd-year-month of testing, breed group-season of calving-month in tested milk group, linear and quadratic age at calving as fixed effects, and random regression coefficients for additive genetic and permanent environmental effects, which were defined as modified constant, linear, quadratic, cubic and quartic Legendre coefficients. Results: Average daily heritabilities ranged from 0.36 to 0.48 for milk, 0.33 to 0.44 for fat and 0.37 to 0.48 for protein yields; they were higher in the third lactation for all traits. Heritabilities of test-day milk and protein yields for selected days in milk were higher in the middle than at the beginning or end of lactation, whereas those for test-day fat yields were high at the beginning and end of lactation. Genetics correlations (305-d yield) among production yields within lactations (0.44 to 0.69) were higher than those across lactations (0.36 to 0.68). The largest genetic correlation was observed between the first and second lactation. The genetic trends of 305-d milk, fat and protein yields were 230 to 250, 25 to 29, and 30 to 35 kg per year, respectively. Conclusion: A random regression model seems to be a flexible and reliable procedure for the genetic evaluation of production yields. It can be used to perform breeding value estimation for national genetic evaluation in the Thai dairy cattle population.

Genetic evaluation of eggshell color based on additive and dominance models in laying hens

  • Guo, Jun;Wang, Kehua;Qu, Liang;Dou, Taocun;Ma, Meng;Shen, Manman;Hu, Yuping
    • Asian-Australasian Journal of Animal Sciences
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    • 제33권8호
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    • pp.1217-1223
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    • 2020
  • Objective: Eggshells with a uniform color and intensity are important for egg production because many consumers assess the quality of an egg according to the shell color. In the present study, we evaluated the influence of dominant effects on the variations in eggshell color after 32 weeks in a crossbred population. Methods: This study was conducted using 7,878 eggshell records from 2,626 hens. Heritability was estimated using a univariate animal model, which included inbreeding coefficients as a fixed effect and animal additive genetic, dominant genetic, and residuals as random effects. Genetic correlations were obtained using a bivariate animal model. The optimal diagnostic criteria identified in this study were: L🟉 value (lightness) using a dominance model, and a🟉 (redness), and b🟉 (yellowness) value using an additive model. Results: The estimated heritabilities were 0.65 for shell lightness, 0.42 for redness, and 0.60 for yellowness. The dominance heritability was 0.23 for lightness. The estimated genetic correlations were 0.61 between lightness and redness, -0.84 between lightness and yellowness, and -0.39 between redness and yellowness. Conclusion: These results indicate that dominant genetic effects could help to explain the phenotypic variance in eggshell color, especially based on data from blue-shelled chickens. Considering the dominant genetic variation identified for shell color, this variation should be employed to produce blue eggs for commercial purposes using a planned mating system.

Genetic parameters and correlations of related feed efficiency, growth, and carcass traits in Hanwoo beef cattle

  • Mehrban, Hossein;Naserkheil, Masoumeh;Lee, Deuk Hwan;Ibanez-Escriche, Noelia
    • Animal Bioscience
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    • 제34권5호
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    • pp.824-832
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    • 2021
  • Objective: This study aimed to estimate the genetic parameters and genetic correlations for related feed efficiency, growth, and carcass traits in Hanwoo cattle. Methods: Phenotypic data from 15,279 animals born between 1989 and 2015 were considered. The related feed efficiency traits considered were Kleiber ratio (KR) and relative growth rate (RGR). Carcass traits analyzed were backfat thickness (BT), carcass weight, eye muscle area, and marbling score. Growth traits were assessed by the average daily gain (ADG), metabolic body weight (MBW) at mid-test age from 6 to 24 months, and yearling weight (YW). Variance and covariance components were estimated using restricted maximum likelihood using nine multi-trait animal models. Results: The heritability estimates for related feed efficiency (0.28±0.04 for KR and RGR) and growth traits (0.26±0.02 to 0.33±0.04) were moderate, but the carcass traits tended to be higher (0.38±0.04 to 0.61±0.06). The related feed efficiency traits were positively genetically correlated with all the carcass traits (0.37±0.09 to 0.47±0.07 for KR, and 0.14±0.09 to 0.37±0.09 for RGR), except for BT, which showed null to weak correlation. Conversely, the genetic correlations of RGR with MBW (-0.36±0.08) and YW (-0.30±0.08) were negative, and those of KR with MBW and YW were close to zero, whereas the genetic correlations of ADG with RGR (0.40±0.08) and KR (0.70±0.05) were positive and relatively moderate to high. The genetic (0.92±0.02) correlations between KR and RGR were very high. Conclusion: Sufficient genetic variability and heritability were observed for traits of interest. Moreover, the inclusion of KR and/or RGR in Hanwoo cattle breeding programs could improve the feed efficiency without producing any unfavorable effects on the carcass traits.

Estimation of co-variance components, genetic parameters, and genetic trends of reproductive traits in community-based breeding program of Bonga sheep in Ethiopia

  • Areb, Ebadu;Getachew, Tesfaye;Kirmani, MA;G.silase, Tegbaru;Haile, Aynalem
    • Animal Bioscience
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    • 제34권9호
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    • pp.1451-1459
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    • 2021
  • Objective: The objectives of the study were to evaluate reproductive performance and selection response through genetic trend of community-based breeding programs (CBBPs) of Bonga sheep. Methods: Reproduction traits data were collected between 2012 and 2018 from Bonga sheep CBBPs. Phenotypic performance was analyzed using the general linear model procedures of Statistical Analysis System. Genetic parameters were estimated by univariate animal model for age at first lambing (AFL) and repeatability models for lambing interval (LI), litter size (LS), and annual reproductive rate (ARR) traits using restricted maximum likelihood method of WOMBAT. For correlations bivariate animal model was used. Best model was chosen based on likelihood ratio test. The genetic trends were estimated by the weighted regression of the average breeding value of the animals on the year of birth/lambing. Results: The overall least squares mean±standard error of AFL, LI, LS, and ARR were 375±12.5, 284±9.9, 1.45±0.010, and 2.31±0.050, respectively. Direct heritability estimates for AFL, LI, LS, and ARR were 0.07±0.190, 0.06±0.120, 0.18±0.070, and 0.25±0.203, respectively. The low heritability for both AFL and LI showed that these traits respond little to selection programs but rather highly depend on animal management options. The annual genetic gains were -0.0281 days, -0.016 days, -0.0002 lambs and 0.0003 lambs for AFL, LI, LS, and ARR, respectively. Conclusion: Implications of the result to future improvement programs were improving management of animals, conservation of prolific flocks and out scaling the CBBP to get better results.

Genetic diversity, relationships and demographic history of the small yellow croaker, Larimichthys polyactis (Pisces: Sciaenidae) from Korea and China inferred from mitochondrial control region sequence data

  • Kim, Jin-Koo;Kim, Yeong-Hye;Kim, Mi-Jung;Park, Jung-Youn
    • Animal cells and systems
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    • 제14권1호
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    • pp.45-51
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    • 2010
  • Genetic variation was surveyed at the mitochondrial control region (766bp) to test for the presence of genetic stock structure in the small yellow croaker, Larimichthys polyactis from the Yellow and East China Seas. Individuals of the small yellow croaker could not be distinguished on the basis of its location, as demonstrated using the neighbor-joining (NJ) method, unweighted pair-group method, arithmetic average (UPGMA) and the minimum spanning network (MSN). Analysis of molecular variance revealed no significant differences among collections of the small yellow croaker taken from the four locations (two locations each in Korea and China). Neutrality tests and a mismatch distribution analysis indicated that this species has recently expanded. Our findings suggest either that the small yellow croaker has a high migration capability that enables it to overcome the effects of genetic drift, or that this species expanded relatively recently and has not yet had sufficient time to differentiate.

변갱 오페이크-2 옥수수 합성품종의 유전변이 (Genetic Variabilities in Two Modified Opaque-2 Synthetics of Corn(Zea mays L.))

  • 갑윤규;박근용;최봉호
    • 한국작물학회지
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    • 제30권3호
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    • pp.326-333
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    • 1985
  • 보통 옥수수의 배유에서 결핍되어 있는 라이신 등 필수 아미노산의 양을 증가시키기 위해 변갱 오페이크-2 유전인자를 도입하여 부여 # 2와 부여 # 3(가칭)의 두 합성품종을 충남대 농대에서 육성(1980)하여 이들의 두 품종이 가지고 있는 유전변이를 알고져 Hallauer와 Wright의 분석방법에 따라 알아본 결과는 다음과 같다. 우선 두 품종이 다 같이 초장, 이삭높이, 이삭의 크기, 100립중, 수량/이삭등에 있어서 우성인자효과 보다도 상가적 효과가 큼을 확인하였는데 이로 미루어 보아 이들 주요 식물 특성이 순환선발과 같은 적당한 육종방법에 의해 개량될 수 있다는 것이고 이삭당 열수나, 이삭의 직경등은 우성효과가 상가적 효과(분산)보다 커서 두 품종 모두 육종적 개량이 어려울 것이라는 것을 확인하였다.

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