PERFORMANCE EVALUATION AND VARIABILITY ANALYSIS FOR MAJOR GROWTH AND FLOWERING TRAITS OF Lilium longiflorum THUNB. GENOTYPES

The performance evaluation and variability estimation are some of the most important basic steps in any breeding scheme and are usually taken as a pre-breeding task. This experiment was carried out to evaluate the performance and estimate the variability for major growth and flowering traits of Sixteen Lilium longiflorum Thunb genotypes in a randomized complete block design (RCBD) with three replications. The estimated analysis of variance (ANOVA) demonstrated prevailing significant variability for studied ten growth and flowering traits of all 16 genotypes. The experiment was conducted to quantify the genetic variability, heritability, and genetic advance as a percentage of the mean (GAM), for understanding the breeding potentiality of L. longiflorum genotypes based on their performance for growth and flowering traits, so that pre-breeding scheme could be executed properly. The estimated genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) value, along with heritability estimate and GAM, revealed that almost all studied traits besides flower diameter were controlled by additive gene action. For these traits, improvement would be possible through the selection after cross-breeding among these genotypes. The choice of genotypes for the hybridization scheme could be made based on the mean performance of those genotypes for the particular traits of the breeding scheme

ESTIMATION OF VARIABILITY ANALYSIS PARAMETERS FOR MAJOR GROWTH AND FLOWERING TRAITS OF Lilium leichtlinii var. maximowiczii GERMPLASM

This experiment was carried out to evaluate the Lilium leichtlinii var maximowiczii germplasm collected from the different natural habitats from all over Korea. In total 30 accessions were studied for nine traits viz. plant height, leaf length, leaf width, the numbers of flowers, flower diameter, length of outer tepal, width of outer tepal, the number of leaf burn, and days to flowering in randomized block design with three replications. The ANOVA revealed highly significant variability prevailing among the investigated genotypes for almost all studied traits (except leaf width). The higher estimated value of GCV, PCV, heritability (H2), and genetic advance as percent of the mean was obtained for the number of flowers and leaf burn. The moderate to high GCV and PCV coupled with higher heritability estimates (H2) and GAM were found for plant height and flower diameter. Progeny selection would be effective as the prevalence of additive gene effect for these traits. Besides, leaf width, leaf length, length of outer tepal, the width of outer tepal, and days to flowering traits were possessed moderate to low GCV and PCV value coupled with the moderate value of heritability estimate with the low level of GAM proved to be the prevalence of non-additive genetic effect thereby indicating the necessity of alternative breeding approach for these traits improvement and breeding scheme. For the former group of traits breeding hybridization and selection would be an effective method, and primarily mean performance of these traits would be very handy for the decision of selection

A Study on the Influence on Mental Health of Participants of the Job Creation Project for the Japanese Elderly

This research aims to analyze the effects on the Subject’s mental health of the Job Creation Project for the elderly in Japan. The subjects of this survey in 2007 were about 1500 participants in the Job Creation Project of Silver Manpower Center in Japan, 970 cases of whom were dataanalyzed.The results of this research are as follows:First, as a result of descriptive statistics of mental health, it was unders food that the average of total mental health is 2.91. As a result of verification of mental health difference, the score of mental health showed significant difference statistically according to job type or motivation of participation, and no significant difference statistically according to satisfaction with job project or duration of participation. With respect to job types, mental health is higher in desk job ormanagement/inspection or technical work than in simple work. Also among the motivations of participation mental health is highest for participation in society than for income.Second, a hierarchical multiple regression analysis was performed by including populationsociological properties variables and four subordinate variables of actual conditions of participation in the Job Creation Project for the Elderly in order to analyze the variables which influence the participant mental health. According to the result of analyzing the effects on total mental health, male gender and better physical health condition were seen to have positive effects on total mental health.It is noted that among the motivations of participation, participation in society, and satisfaction with the Job Project, had positive influence

A Study on the Korean Senior Employment Promotion Project that Influence on the Quality of Participants --Focused on gender difference--

This study analyzes the Korean senior employment promotion projects influence on the quality of elderly peoples lives. This study is focused on the gender differences, and based on their identification it provides policy implications to use for senior job creation initiatives as a way to promote improved quality of their lives.For this study, university students who were trained about interview techniques from October, 2007 to January, 2008 visited 33 organizations in each of Seoul’s administrative districts including social welfare centers, senior centers, senior employment support centers and community senior clubs. Ten to thirty older people of each organization had face-to-face interviews with the interviewers, resulting in 595 questionnaires collected. After data cleaning, a total of 574 questionnaires were used for this study.SPSS 14.0 was used to conduct data analysis, and many analysis techniques were employed for the analysis: frequency analysis, independent samples t-test, one-way ANOVA, correlation analysis, hierarchical multiple regression analysis.The study uses regression analysis to find out the influence of variables on quality of life, and found that older men felt happier when they were early on in their retirement years, healthier and they participated in the project for an extended time. On the other hand, older women said they were happier when they were healthier and their job gave them more satisfaction when their job was not for public service or human resource dispatch