• Korean Journal of Plant Resources
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• v.34 no.6
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• pp.575-599
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• 2021

The edible roots of radish (Raphanus sativus L.) are consumed worldwide. For characterization and evaluation of the agronomic traits and health-promoting chemicals in radish germplasms, new germplasm breeding materials need to be identified. The objectives of this study were to evaluate the phenotypic traits and glucosinolate contents of radish roots from 110 germplasms, by analyzing correlations between 10 quantitative phenotypic traits and the individual and total contents of five glucosinolates. Phenotypic characterization was performed based on descriptors from the UPOV and IBPGR, and glucosinolate contents were analyzed using liquid chromatography-tandem mass spectrometry in multiple reaction monitoring mode (MRM). Regarding the phenotypic traits, a significant correlation between leaf length and root weight was observed. Glucoraphasatin was the main glucosinolate, accounting for an average of 71% of the total glucosinolates in the germplasms; moreover, its content was significantly correlated with that of glucoerucin, its precursor. Principal component analysis indicated that the 110 germplasms could be divided into five groups based on their glucosinolate contents. High levels of free-radical scavenging activity (DPPH) were observed in red radishes. These results shed light on the beneficial traits that could be targeted by breeders, and could also promote diet diversification by demonstrating the health benefits of various germplasms.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.6
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• pp.862-869
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• 2015

The current study was designed to estimate the pork quality traits using metabolites from exsanguination blood and postmortem muscle simultaneously under the Korean standard pre- and post-slaughter conditions. A total of 111 Yorkshire (pure breed and castrated male) pigs were evaluated under the Korean standard conditions. Measurements were taken of the levels of blood glucose and lactate at exsanguination, and muscle glycogen and lactate content at 45 min and 24 h postmortem. Certain pork quality traits were also evaluated. Correlation analysis and multiple regression analysis including stepwise regression were performed. Exsanguination blood glucose and lactate levels were positively correlated with each other, negatively related to postmortem muscle glycogen content and positively associated with postmortem muscle lactate content. A rapid and extended postmortem glycolysis was associated with high levels of blood glucose and lactate, with high muscle lactate content, and with low muscle glycogen content during postmortem. In addition, these were also correlated with paler meat color and reduced water holding capacity. The results of multiple regression analyses also showed that metabolites in exsanguination blood and postmortem muscle explained variations in pork quality traits. Especially, levels of blood glucose and lactate and content of muscle glycogen at early postmortem were significantly associated with an elevated early glycolytic rate. Furthermore, muscle lactate content at 24 h postmortem alone accounted for a considerable portion of the variation in pork quality traits. Based on these results, the current study confirmed that the main factor influencing pork quality traits is the ultimate lactate content in muscle via postmortem glycolysis, and that levels of blood glucose and lactate at exsanguination and contents of muscle glycogen and lactate at postmortem can explain a large portion of the variation in pork quality even under the standard slaughter conditions.

• Journal of Animal Science and Technology
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• v.44 no.6
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• pp.685-692
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• 2002

This study was carried out to estimate the genetic correlations for the carcass and growth traits of Hanwoo bulls measured at 12 and 18 months of age on the basis of the data form 1,823 heads of Hanwoo bulls raised at the Livestock Improvement Main Center from 1991 to 1998. Genetic correlations were estimated with multiple trait animal model using MTDFREML. The genetic correlations of the body weight at 12 months with average daily gain during 6${\sim}$12 months and with the body length were 0.76 and 0.79, respectively. The genetic correlations of the body weight at 18 months with average daily gain during 6${\sim}$18 months and with the body length were 0.86 and 0.82, respectively. The genetic correlations of the carcass weight with dressing percent, eye muscle area, backfat thickness and carcass length were 0.39, 0.37, 0.44 and 0.63, respectively. And estimate of 0.36 was obtained for the genetic correlation between backfat thickness and marbling score. The high and positive genetic correlations of 0.71 and 0.96 were estimated for the carcass weight with the body weights at 12 and 18 months. The genetic correlations of the carcass weight with body lengths at 12 and 18 months were 0.63 and 0.75, respectively. Positive genetic correlations were estimated for the dressing percentage with the body weight, average daily gain, body length, thurls width and chest girth. Low genetic correlations were estimated between eye muscle area and the growth traits ranging from -0.07 to 0.32. Dressing percentage was low correlated genetically with the growth traits except for the chest girth at 18 months. The genetic correlation between marbling score and chest girth at 18 months estimated was 0.25.

• Journal of Animal Science and Technology
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• v.44 no.2
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• pp.151-164
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• 2002

Genetic variance and covariance components of the linear traits and the ordered categorical traits, that are usually observed as dichotomous or polychotomous outcomes, were simultaneously estimated in a multivariate threshold animal model with concepts of arbitrary underlying liability scales with Bayesian inference via Gibbs sampling algorithms. A multivariate threshold animal model in this study can be allowed in any combination of missing traits with assuming correlation among the traits considered. Gibbs sampling algorithms as a hierarchical Bayesian inference were used to get reliable point estimates to which marginal posterior means of parameters were assumed. Main point of this study is that the underlying values for the observations on the categorical traits sampled at previous round of iteration and the observations on the continuous traits can be considered to sample the underlying values for categorical data and continuous data with missing at current cycle (see appendix). This study also showed that the underlying variables for missing categorical data should be generated with taking into account for the correlated traits to satisfy the fully conditional posterior distributions of parameters although some of papers (Wang et al., 1997; VanTassell et al., 1998) presented that only the residual effects of missing traits were generated in same situation. In present study, Gibbs samplers for making the fully Bayesian inferences for unknown parameters of interests are played rolls with methodologies to enable the any combinations of the linear and categorical traits with missing observations. Moreover, two kinds of constraints to guarantee identifiability for the arbitrary underlying variables are shown with keeping the fully conditional posterior distributions of those parameters. Numerical example for a threshold animal model included the maternal and permanent environmental effects on a multiple ordered categorical trait as calving ease, a binary trait as non-return rate, and the other normally distributed trait, birth weight, is provided with simulation study.

• Journal of Korean Academy of Nursing
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• v.18 no.1
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• pp.80-93
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• 1988

This study was planned and carried out to investigate the correlation between premenstrual syndrome and personality in order to provide informations basic to the prevention, alleviation, and care for the premenstrual syndrome. Data on premenstrual syndrome were gatherd from October 20 to 25, 1986 by questionnaire modified by the researcher based on Endicott's Premenstrual Assessment Form. Reliability of the instrument was tested by Cronbach's $\alpha$. Data on personality were gathered in March, 1986, by the high school autorities by standardized Personality Inventory Scale developed by Eung Yun Hwang were used. Subjects numbered 457, 95.2% of the first grade students of H. Girls High School located in Seoul. The correlation and difference between personality traits and premenstrual syndrome analysed by Pearson's Correlation Coefficient, and difference between groups were analysed by the t-test. Personality traits influencing premenstrual syndromal categories were analysed by the multiple regression. The results are as follows : I. The five highist categories of premenstrual syndrome among 18 categories revealed to be Social withdrawal, General discomfort, Lability, Fatigue and Hostility / Anger in rank order. II. Personality traits and Premenstrual syndrome ; 1. Tendency of Psychoneuroses(r＝0.43, p＜.001), psychoses(r＝.39, p＜.001) and anti-social behaviors (r＝0.43, p＜.001) revealed to be significantly correlated to premenstrual syndrome. Hypothesis 1 is accepted. 2. Emotional stability(r＝ -0.38, p＜.001), reflectiveness (r＝ -0.14, p＜.01), masculinity (r＝ -0.10, p＜05) and antonomy (r＝ -0.12, p＜.05) revealed significant correlation, While activity, dominance, sociability and achivement revealed no significant correlation. Hypothesis 2 is partially accepted. III. Significant models of personality traits influencing the premenstrual syndromal categories are ; 1. 5 personality traits : tendency of psychoneuroses, emotional stability, dominance, activity and autonomy revealed to influence Low mood / loss of pleasure significantly. ($R^2$＝.19) 2. 3 personality traits ; tendency of psychoneuroses, emotional stability and sociability revealed to influence Lability significantly. ($R^2$＝.15) 3. 5 personality traits ; tendency of psychoneuroses, activity, emotional stability, sociability and achievement revealed to influence Anxiety significantly.($R^2$＝.18) 4. 3 personality traits : tendency of psychoneuroses, emotional stability and sociability revealed to influence Miscellaneous mood / behavior changes significantly.($R^2$＝.18) 5. 3 personality traits : tendency of psychoneuroses, psychoses and reflectiveness revealed to influence Hysteroid features significantly.($R^2$＝.16) IV. No significant correlation between irregularity of menstruation and premenstrual syndrome was revealed. No significant difference between group of dysmenorrhea and group of non-dysmenorrhea in premenstrual syndrome was revealed.

• Journal of Crop Science and Biotechnology
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• v.11 no.2
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• pp.83-90
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• 2008

Two hundred and sixty Korean soybean landrace accessions were analyzed for polymorphism at 92 simple sequence repeat(SSR) loci. The 995 identified alleles served as raw data for estimating genetic diversity and population structure. The number of alleles at a locus ranged from three to 27 with a mean of 10.4 alleles per locus. $F_{ST}$ values estimated by analysis of molecular variance(AMOVA) using SSR data set were 0.018, 0.027, and 0.016 for usage, collection site and maturity groups, respectively, indicating little genetic differentiation. The model-based clustering analysis placed the accessions into three clusters(K=3) with 0.0503 of $F_{ST}$, indicating moderate genetic differentiation. Duncan's Multiple Range Test at K = 3 on the basis of 18 quantitative traits revealed that one cluster was mainly differentiated from the other two clusters by seed related traits and the other two clusters were differentiated from each other by biochemical traits. Genetic structure of Korean soybean landraces was differentiated by model-based clustering and supported by their phenotypic traits in part. This preliminary study could be the first step towards more efficient germplasm management and utilization of soybean landraces and helpful in association studies between genotypic and phenotypic traits in Korean soybean landraces.

• Animal Bioscience
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• v.35 no.11
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• pp.1649-1655
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• 2022

Objective: The primary objective of this study was to determine the genetic parameters for reproductive traits among Large White pigs, including the following traits: total number born (TNB), number born alive (NBA), litter birth weight (LBW), average birth weight (ABW), gestation length (GL), age at first service (AFS) and age at first farrowing (AFF). Methods: The dataset consisted of 19,036 reproductive records from 4,986 sows, and a multi-trait animal model was used to estimate genetic variance components of seven reproductive traits. Results: The heritability estimates for these reproductive traits ranged from 0.09 to 0.26, with the highest heritability for GL and AFF, and the lowest heritability for NBA. The repeatabilities for TNB, NBA, LWB, ABW, and GL were ranged from 0.16 to 0.34. Genetic and phenotypic correlations ranged from -0.41 to 0.99, and -0.34 to 0.98, respectively. In particular, the correlations between TNB, NBA and LBW, between AFS and AFF, exhibited a strong positive correlation. Furthermore, for TNB, NBA, LBW, ABW, and GL, genetic correlations of the same trait between different parities were moderately to strongly correlated (0.32 to 0.97), and the correlations of adjacent parities were higher than those of nonadjacent parities. Conclusion: All the results in the present study can be used as a basis for the genetic assessment of the target population. In the formulation of dam line selection index, AFS or AFF can be considered to combine with TNB in a multiple trait swine breeding value estimation system. Moreover, breeders are encouraged to increase the proportion of sows at parity 3-5 and reinforce the management of sows at parity 1 and parity ≥8.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.2
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• pp.184-188
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• 2001

In a summer study during May to July, involving 12 young Murrah buffalo bulls at forty months of average age, the effects of multiple shower vs single shower body cooling and vitamin A, D and E supplementation on the sexual behaviour, semen quality and freezability were investigated. The animals were divided into two groups (6 animals in each group) and housed in a half-walled shed with proper spacing, the feeding management being identical. The bulls in the control group were given a single shower at 1000 h, whereas the experimental bulls were given four showers at 10,12,14 and 16 h. In addition, the experimental bulls were given vitamin A, D and E injections at fifteen day intervals. The sexual behaviour of bulls was observed in terms of reaction time, sexual aggressiveness and ejaculatory thrust. Semen quality of all the bulls was assessed in terms of volume, mass activity, live-dead sperm and sperm concentration, sperm motility and morphology, and acrosomal abnormality. The sexual behaviour did not vary significantly between the groups, whereas semen quality differed significantly for volume, per cent live sperms, total sperms per ejaculate and total live sperm per ejaculate between groups. It can be concluded that sexual behaviour was not influenced by the thermal comfort treatment coupled with periodic vitamin A, D and E injections. But the treatments improved most of the seminal traits in the experimental group of bulls. However, benefit of treatment was not reflected in the freezability traits of the semen.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1114-1135
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• 2018

A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.1
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• pp.1-10
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• 2016

The purpose of this study was to examine the influence of elderly women's makeup behavior, psychological traits and demographic variables on their preference for makeup images in daily life(hereinafter called general makeup image) and for the makeup images of their own future funeral portraits. As for the method of research, a research study was implemented by using the questionnaire method. Seven factors were selected for makeup behavior: fashionability, conformity, subjectivity, instrumentality, interpersonal orientation and conspicuousness. The selected psychological traits were personality, death attitude and depression. Preference for general makeup image and for the makeup image of funeral portrait were investigated in terms of four: agreeableness, refinement, individuality and dignity. The subjects in this study were 651 female elderly residents in and around Seoul who were in their 60s to 80s. Concerning data analysis, factor analysis, Cronbach alpha coefficient, Pearson productmoment correlation coefficient, t-test, one-way ANOVA, Duncan's multiple range test and multiple regression analysis were utilized. Concerning the influence of the elderly women's makeup behavior, personality, death attitude, depression and demographic variables on preference for the makeup image of funeral portrait, their preference for an agreeable makeup image was analyzed. Thus, makeup behavior, personality, death attitude and depression were identified as the variables to exert a significant influence on preference for the makeup images of funeral portrait. The findings of the study are expected to help make makeup for funeral portrait entrenched as a part of the beauty industry and to make a contribution to the development of the beauty industry.