• Title/Summary/Keyword: genetic correlations

Search Result 394, Processing Time 0.031 seconds

Estimation of genetic parameters for temperament in Jeju crossbred horses

  • Kim, Nam Young;Son, Jun Kyu;Cho, In Cheol;Shin, Sang Min;Park, Seol Hwa;Seong, Pil Nam;Woo, Jae Hoon;Park, Nam Geon;Park, Hee Bok
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.31 no.8
    • /
    • pp.1098-1102
    • /
    • 2018
  • Objective: Temperament can be defined as a type of behavioral tendency that appears in a relatively stable manner in responses to various external stimuli over time. The aim of this study was to estimate genetic parameters for the records of temperament testing that are used to improve the temperament of Jeju crossbred (Jeju${\times}$Thoroughbred) horses. Methods: This study was conducted using 205 horses (101 females and 104 males) produced between 2010 and 2015. The experimental animals were imprinted and tamed according to the Manual for Horse Taming and Evaluation for Therapeutic Riding Horses and evaluated according to the categories for temperament testing (gentleness, patience, aggressiveness, sensitivity, and friendliness) between 15 months and 18 months of age. Each category was scored on a five-point linear scale. Genetic parameters for the test categories were analyzed using a multi-trait mixed model with repeated records. The ASReml program was used to analyze the data. Results: The heritability of gentleness, patience, aggressiveness, sensitivity and friendliness ranged from 0.08 to 0.53. The standard errors of estimated heritability ranged from 0.13 to 0.17. The test categories showed high genetic correlations with each other, ranging from 0.96 to 0.99 and high repeatability, ranging from 0.70 to 0.73. Conclusion: The results of this study showed that the test categories had moderate heritability and high genetic correlations, but additional studies may be necessary to use the results for the improvement programs of the temperament of Jeju crossbred horses.

Estimation of genetic relationships between growth curve parameters in Guilan sheep

  • Hossein-Zadeh, Navid Ghavi
    • Journal of Animal Science and Technology
    • /
    • v.57 no.5
    • /
    • pp.19.1-19.6
    • /
    • 2015
  • The objective of this study was to estimate variance components and genetic parameters for growth curve parameters in Guilan sheep. Studied traits were parameters of Brody growth model which included A (asymptotic mature weight), B (initial animal weight) and K (maturation rate). The data set and pedigree information used in this study were obtained from the Agricultural Organization of Guilan province (Rasht, Iran) and comprised 8647 growth curve records of lambs from birth to 240 days of age during 1994 to 2014. Marginal posterior distributions of parameters and variance components were estimated using TM program. The Gibbs sampler was run 300000 rounds and the first 60000 rounds were discarded as a burn-in period. Posterior mean estimates of direct heritabilities for A, B and K were 0.39, 0.23 and 0.039, respectively. Estimates of direct genetic correlation between growth curve parameters were 0.57, 0.03 and -0.01 between A-B, A-K and B-K, respectively. Estimates of direct genetic trends for A, B and K were positive and their corresponding values were $0.014{\pm}0.003$ (P < 0.001), $0.0012{\pm}0.0009$ (P > 0.05) and $0.000002{\pm}0.0001$ (P > 0.05), respectively. Residual correlations between growth curve parameters varied form -0.52 (between A-K) to 0.48 (between A-B). Also, phenotypic correlations between growth curve parameters varied form -0.49 (between A-K) to 0.47 (between A-B). The results of this study indicated that improvement of growth curve parameters of Guilan sheep seems feasible in selection programs. It is worthwhile to develop a selection strategy to obtain an appropriate shape of growth curve through changing genetically the parameters of growth model.

A Bayesian Sampling Algorithm for Evolving Random Hypergraph Models Representing Higher-Order Correlations (고차상관관계를 표현하는 랜덤 하이퍼그래프 모델 진화를 위한 베이지안 샘플링 알고리즘)

  • Lee, Si-Eun;Lee, In-Hee;Zhang, Byoung-Tak
    • Journal of KIISE:Software and Applications
    • /
    • v.36 no.3
    • /
    • pp.208-216
    • /
    • 2009
  • A number of estimation of distribution algorithms have been proposed that do not use explicitly crossover and mutation of traditional genetic algorithms, but estimate the distribution of population for more efficient search. But because it is not easy to discover higher-order correlations of variables, lower-order correlations are estimated most cases under various constraints. In this paper, we propose a new estimation of distribution algorithm that represents higher-order correlations of the data and finds global optimum more efficiently. The proposed algorithm represents the higher-order correlations among variables by building random hypergraph model composed of hyperedges consisting of variables which are expected to be correlated, and generates the next population by Bayesian sampling algorithm Experimental results show that the proposed algorithm can find global optimum and outperforms the simple genetic algorithm and BOA(Bayesian Optimization Algorithm) on decomposable functions with deceptive building blocks.

A Genetic Analysis of Reproductive Traits of Masu Salmon Oncorhynchus masou

  • Choe, Mi-Kyung
    • Journal of Aquaculture
    • /
    • v.13 no.1
    • /
    • pp.13-19
    • /
    • 2000
  • A genetic analysis of reproductive characters of masu salmon at three year classes was described. the reproductive performance of masu salmon spawning at 2 years of age was analyzed using data number fertility hatchability and growth traits to the juvenile stage. The phenotypic correlations among the traits were also estimated. it was determined that egg volume was the principle deter-minant of egg number and that the relationship of number to size was negative. It is recommended that selection for egg size be included in all selection programs and egg number be ignored in any welection program designed to increase body size. Phenotypic correlations between body size of parents and egg traits as well as between body size of offspring and egg traits were not significantly positive or negative magnitude at three year classes.

  • PDF

Evaluation of Genetic Parameters of Growth Characteristics and Basic Density of Eucalyptus pellita Clones Planted at Two Different Sites in East Kalimantan, Indonesia

  • Alfia Dewi FADWATI;Fanny HIDAYATI;Mohammad NA'IEM
    • Journal of the Korean Wood Science and Technology
    • /
    • v.51 no.3
    • /
    • pp.222-237
    • /
    • 2023
  • Eucalyptus pellita is one of the fast-growing tree species and has become predominant in Indonesian forest plantations. Meanwhile, tree breeding programs with clone development are the best way to provide greater genetic advantages. A better understanding of genetic control on growth and basic density in E. pellita is important for increasing wood productivity and quality. In this study, growth characteristics (tree height, diameter, and volume), basic density and its genetic parameters (heritability, genetic gain and genetic correlation) were determined. The number of clones tested in both trials was 50, divided into 5 blocks, and 5 trees/plot. The results showed that there were significant differences in growth and basic density among clones. There was an interaction between genetics and the environment further indicating the existence of unstable clones. The high heritability was found in tree height (0.82-0.86), diameter (0.82-0.90), and basic density (0.91-0.93). This implies that E. pellita has good opportunities for genetic improvement to increase wood productivity and quality. In addition, the results of genetic correlations among growth characteristics (height, diameter, and volume) and basic density showed positive moderate to highly significant value. It is suggested that these characters may be used to the advantage of the breeder for bringing improvement in these traits simultaneously. Therefore, this study provides important information of the genetic improvement of wood quality in E. pellita in Indonesia.

Genetic Studies on Production Efficiency Traits in Hariana Cattle

  • Dhaka, S.S.;Chaudhary, S.R.;Pander, B.L.;Yadav, A.S.;Singh, S.
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.15 no.4
    • /
    • pp.466-469
    • /
    • 2002
  • The data on 512 Hariana cows, progeny of 20 sires calved during period from 1974 to 1993 maintained at Government Livestock Farm, Hisar were considered for the estimation of genetic parameters. The means for first lactation milk yield (FLY), wet average (WA), first lactation peak yield (FPY), first lactation milk yield per day of first calving interval (MCI) and first lactation milk yield per day of age at second calving (MSC) were 1,141.58 kg, 4.19 kg/day, 6.24 kg/day, 2.38 kg/day and 0.601 kg/day, respectively. The effect of period of calving was significant (p<0.05) on WA, FPY and MCI while the effect of season of calving was significant only on WA. Monsoon calvers excelled in performance for all the production efficiency traits. The effect of age at first calving (linear) was significant on all the traits except on MCI. Estimates of heritabilty for all the traits were moderate and ranged from 0.255 to 0.333 except for WA (0.161). All the genetic and phenotypic correlations among different production efficiency traits were high and positive. It may be inferred that selection on the basis of peak yield will be more effective as the trait is expressed early in life and had reasonably moderate estimate of heritability.

3D reconstruction of two-phase random heterogeneous material from 2D sections: An approach via genetic algorithms

  • Pizzocri, D.;Genoni, R.;Antonello, F.;Barani, T.;Cappia, F.
    • Nuclear Engineering and Technology
    • /
    • v.53 no.9
    • /
    • pp.2968-2976
    • /
    • 2021
  • This paper introduces a method to reconstruct the three-dimensional (3D) microstructure of two-phase materials, e.g., porous materials such as highly irradiated nuclear fuel, from two-dimensional (2D) sections via a multi-objective optimization genetic algorithm. The optimization is based on the comparison between the reference and reconstructed 2D sections on specific target properties, i.e., 2D pore number, and mean value and standard deviation of the pore-size distribution. This represents a multi-objective fitness function subject to weaker hypotheses compared to state-of-the-art methods based on n-points correlations, allowing for a broader range of application. The effectiveness of the proposed method is demonstrated on synthetic data and compared with state-of-the-art methods adopting a fitness based on 2D correlations. The method here developed can be used as a cost-effective tool to reconstruct the pore structure in highly irradiated materials using 2D experimental data.

Estimation of Genetic Parameters for Direct, Maternal and Grandmatemal Genetic Effects for Birth, Weaning and Six Month Weights of Hanwoo (Korean Cattle)

  • Choi, S.B.;Lee, J.W.;Kim, N.S.;Na, S.H.;Keown, J.F.;Van Vleck, L.D.
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.13 no.2
    • /
    • pp.149-154
    • /
    • 2000
  • The objectives of this study of Hanwoo (Korean Cattle) were 1) to estimate genetic parameters for direct and maternal genetic effects for birth weight, weaning weight, and six months weight which can be used for genetic evaluations and 2) to compare models with and without grandmatemal effects. Data were obtained from the National Livestock Research Institute in Rural Development Administration (RDA) of Korea and were used to estimate genetic parameters for birth weight (BW, n=10,889), weaning weight at 120-d (WW, n=8,637), and six month weight (W6, n=8,478) in Hanwoo. Total number of animals in pedigrees was 14,949. A single-trait animal model was initially used to obtain starting values for multiple-trait animal models. Estimates of genetic parameters were obtained with MTDFREML using animal models and derivative-free REML (Boldman et al., 1995). Estimates of direct heritability for BW, WW, and W6 analyzed as single-traits were 0.09, 0.03, and 0.02 from Model 3 which included direct and maternal genetic, maternal permanental environmental effects, and effects due to sire ${\times}$ region ${\times}$ year-season interaction, respectively. Ignoring sire ${\times}$ region ${\times}$ year-season interaction effect in the model (Model 2) resulted in larger estimates for direct heritability than for Model 3. Estimates of maternal heritability for BW, WW and W6 were 0.04, 0.05, and 0.07 from Model 3, respectively. The estimates of direct-maternal genetic correlation were positive for BW, WW, and W6 with Model 3 but were negative with Model 2 for WW and W6. Estimates of direct genetic correlations between BW and WW, BW and W6, and WW and W6 were large: 0.52, 0.45, and 0.90, respectively. Genetic correlations were also large and positive for maternal effects for BW with maternal effects for WW and W6 (0.69 and 0.74), and even larger for WW with W6 (0.97). The log likelihood values were the same for models including grandmatemal effects as for models including maternal effects for all traits. These results indicate that grandmatemal effects are not important for these traits for Hanwoo or that the data structure was not adequate for estimating parameters for a grandmatemal model.

Genetic variation of 7S and 11S globulins in soybean seed (콩 종실 단백질의 유전변이)

    • Korean Journal of Plant Resources
    • /
    • v.12 no.3
    • /
    • pp.198-203
    • /
    • 1999
  • 7S and 11S globulins are two major storage proteins in soybean seed. For improving the quality of soybean seed protein, an increase of 11S/7S ratio would be a desirable objective because 11S globulin contains much more sulfur-containing amino acids than 7S globulin. In this study, six soybean varieties grown at three locations were used for genetic variation analysis of 7S and 11S globulins. It was possible to screen the soybean genotypes having aberrant subunit compositions of the two globulins by a sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). So, heritabilities, genotypic and phenotypic correlations among eight globulin fraction contents of soybean seeds were estimated. The mean value of 7S and 11S globulin fraction contents were 38.9% and 61.1%, respectively, and the ratio of 7S to 11S globulin ranged from 0.58 to 0.74. The high heritability value was found in $\beta$ subunits but the values of acidic and basic subunits were relatively low. Genotypic correlations were higher than the corresponding phenotypic correlations in most of globulin subunit contents. $\beta$ subunits was negatively correlated with $\alpha$ and $\alpha$' subunits among 7S fractions, while no significant correlation between $\alpha$ and $\alpha$' subunits could be found In case of 11S fractions, acidic and basic subunits exhibited no genotypic but negative phenotypic correlation.

  • PDF

Selection response and estimation of the genetic parameters for multidimensional measured breast meat yield related traits in a long-term breeding Pekin duck line

  • Xu, Yaxi;Hu, Jian;Zhang, Yunsheng;Guo, Zhanbao;Huang, Wei;Xie, Ming;Liu, Hehe;Lei, Chuzhao;Hou, Shuisheng;Liu, Xiaolin;Zhou, Zhengkui
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.31 no.10
    • /
    • pp.1575-1580
    • /
    • 2018
  • Objective: This study was conducted to estimate the genetic parameters and breeding values of breast meat related traits of Pekin ducks. Selection response was also determined by using ultrasound breast muscle thickness (BMT) measurements in combination with bosom breadth (BB) and keel length (KL) values. Methods: The traits analyzed were breast meat weight (BMW), body weight (BW), breast meat percentage (BMP) and the three parameters of breast meat (BB, KL, and BMT). These measurements were derived from studying 15,781 Pekin ducks selected from 10 generations based on breast meat weight. Genetic parameters and breeding value were estimated for the analysis of the breeding process. Results: Estimated heritability of BMW and BMP were moderate (0.23 and 0.16, respectively), and heritability of BW was high (0.48). Other traits such as BB, KL, and BMT indicated moderate heritability ranging between 0.11 and 0.28. Significant phenotypic correlations of BMW with BW and BMP were discovered (p<0.05), and genetic correlations of BMW with BW and BMP were positive and high (0.83 and 0.66, respectively). It was noted that BMW had positive correlations with all the other traits. Generational average estimated breeding values of all traits increased substantially over the course of selection, which demonstrated that the ducks responded efficiently to increased breast meat yield after 10 generations of breeding. Conclusion: The results indicated that duck BMW had the potential to be increased through genetic selection with positive effects on BW and BMP. The ultrasound BMT, in combination with the measurement of BB and KL, is shown to be essential and effective in the process of high breast meat yield duck breeding.