• Journal of Plant Biotechnology
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• v.37 no.2
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• pp.186-195
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• 2010

In most self-incompatible plant species, recognition of self-pollen is controlled by a single locus, termed the S-locus. The self-incompatibility (SI) system in Brassica is controlled sporophytically by multiple alleles at a single locus, designated as S, and involves cell-cell communication between male and female. Two highly polymorphic S locus genes, SLG (S locus glycoprotein) and SRK (S receptor kinase), have been identified, both of which are expressed predominantly in the stigmatic papillar cell. Gain-of-function experiments have demonstrated that SRK solely determines S haplotype-specificity of the stigma, while SLG enhances the recognition reaction of SI. The sequence analysis of the S locus genomic region of B. campestris (syn. rapa) has led to the identification of an anther-specific gene, designated as SP11/SCR, which is the male S determinant. Molecular analysis has demonstrated that the dominance relationships between S alleles in the stigma were determined by SRK itself, but not by the relative expression level. In contrast, the expression of SP11/SCR from the recessive S allele was specifically suppressed in the S heterozygote, suggesting that the dominance relationships in pollen were determined by the expression level of SP11/SCR. Furthermore, recent studies on recessive allele-specific DNA methylation of Brassica self-incompatibility alleles demonstrate that DNA methylation patterns in plants can vary temporally and spatially in each generation. In this review, we firstly present overview of self incompatibility system in Brassica and then describe dominance relationships in Brassica self- incompatibility regulated by allele-specific DNA methylation.

• Journal of Animal Science and Technology
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• v.65 no.5
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• pp.1094-1104
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• 2023

Aggression in horses may cause serious accidents during riding and non-riding activities. Hence, predicting the temperament of horses is essential for selecting suitable horses and ensuring safety during the activity. In certain animals, such as hamsters, plasma melatonin concentrations have been correlated with aggressive behavior. However, whether this relationship applies to horses remains unclear. To address this research gap, this study aimed to evaluate differences in the plasma melatonin concentrations among horses of different breeds, ages, and sexes and examine the correlation between plasma melatonin concentrations and the temperament of the horses, including docility, affinity, dominance, and trainability. Blood samples from 32 horses were collected from the Horse Industry Complex Center of Jeonju Kijeon College. The docility, affinity, dominance, and trainability of the horses were assessed by three professional trainers who were well-acquainted with the horses. Plasma melatonin concentrations were measured using an enzyme-linked immunosorbent assay. The consequent values were compared between the horses of different breeds, ages, and sexes using a three-way analysis of variance and least significant difference post hoc test. Linear regression analysis was employed to identify the relationship between plasma melatonin concentrations and docility, affinity, dominance, and trainability. The results showed that the plasma melatonin concentrations significantly differed with breeds in Thoroughbred and cold-blooded horses. However, there were no differences in the plasma melatonin concentrations between the horse ages and sexes. Furthermore, plasma melatonin concentrations did not exhibit a significant correlation with the ranking of docility, affinity, dominance, and trainability.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.67-76
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• 2013

In this study we surveyed service satisfaction for the start-up support program and measured the relative importance of the factors that influence service satisfaction. The five service factors(physical facilities, finance and accounting, human resources, marketing, product development) were used to measure service satisfaction. Typically, the relative importance of predictors is assessed by simply comparing their standardized regression coefficients. However, when the predictors are correlated, regression coefficients cannot be used to explain variance shared by two or more predictors. The dominance analysis used by many researchers in recent years to measure the relative importance of predictor variables. In this article, we applied it in satisfaction research for the start-up support program. The results obtained by the dominance analysis are compared with the results obtained by multiple regression analysis. And satisfaction and relative importance of the five factors are analyzed by entrepreneurship motivation. These findings will contribute to the marketing research field relating to service satisfaction. Service satisfaction for the start-up support program can improve based on this study.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.5
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• pp.626-631
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• 1997

This study was conducted to clarify the genetic effect on the duration of grain filling with using the eight corn inbreds. In diallel cross analysis, the grain filling during the lag period showed partial dominance with great additive effects. Inbreds FR14A and A508 showed greater recessive gene effects for lag period, while FR25 showed greater effects of dominant genes. The genetic analysis for the effective filling period(EFP) showed over dominance without additive gene effects. FR25 of 8 inbreds showed greatest effects of dominant genes for EFP, while YUBC208 showed greater recessive gene effects for EFP than other inbreds. The genetic analysis for total grain filling period(TGFP) seemed to be due to partial dominance with greater additive effects. Early inbred line, YUBC208 especially showed greater recessive gene effects for TGFP than others. No. of effective genes related to EFP and TGFP were estimated by at least 5.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.2
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• pp.62-67
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• 2004

Forest community structure analysis in the Seooreung area, Goyang-si was carried out to supply basic data for reasonable management and conservation. The forest vegetation of the Seooreung area was classified into Alnus japonica community, Quercus mongolica - Carpinus laxiflora community, Quercus serrata community, and Pinus densiflora community. The dominant species in the area were in the order of Quercus mongolica, Quercus serrata, Robinia pseudoacacia, Quercus variabilis, Quercus aliena, Styrax japonica, Pinus rigida, and Alnus hirsuta. According to the DBH analysis result, Pinus densiflora was dominance species in Tomb area. Pinus rigida had a density of normal distribution style in the entire forests, therefore, their dominance are expected to continue for now. However, Quercus serrata is expected to extend their influence in the future in competition with Pinus rigida. Quercus mongolica had a density of normal distribution style in the Quercus mongolica - Carpinus laxiflora community, therefore, their dominance are expected to continue for now. Carpinus laxiflora is expected to extend their influence in the future in competition with Quercus mongolica. The relationship between the distribution of dominant species of forest vegetation and soil condition in Seooreung area was investigated by analyzing soil nutrition and moisture gradient. Alnus hirsuta community was distributed in the mesic and medium nutrition area and Quercus mongolica - Carpinus laxiflora community in the serix and relative good nutrition area. Pinus densiflora community was distributed in the serix and poor nutrition area and Quercus serrata community in the subserix and medium nutrition area.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.1-26
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• 2017

Keeping good, talented people is one of the most significant factors in a company's success. HR analytics is an important area for applying big data analysis techniques to human resources. It provides organizational insight that enables effective management of employees, allowing management to reach their business goals quickly and efficiently. Job satisfaction and employee turnover analysis are the keys to HR analytics. Job review web services have been becoming popular. Because people exchange information about job satisfaction and turnover through these web services, useful information about HR Analytics is accumulated on the job review web sites. In this paper, we identified factors of employee retention by analyzing a Job Satisfaction/Retention group, and the factors of employee turnover by analyzing a Job Unsatisfaction/Turnover group. In order to do this, we first classified employees according to whether their self-reported job satisfaction or turnover was true. We collected and analyzed data from Jobplanet, a popular job review site. Through dominance analysis and LDA topic modeling, we found major factors, topics, and keywords of the classified groups by IT, service, and manufacturing domains. Our approach is a novel model to apply the analysis of reviews and text mining to the HR domain, and it will be practically helpful for setting new strategies that improve job satisfaction.

• The Journal of Korean Association of Computer Education
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• v.16 no.1
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• pp.11-22
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• 2013

Due to the advent of new smart devices, the new technology addiction problems have been much severer than the Internet addiction recently. A lot of research about each technology addiction has been proposed, but the research about the changes in the addictions has been rare. In this paper, we analyze how the environmental factors such as parents and friends affect the personal factors such as time perspectives and technology usage time. In addition, we get the relative importances among the factors which influence on the Internet and mobile phone addictions. As a result, we can analyze the relationships among the factors and the differences between the two addictions with time perspective. In order to achieve our goals, we surveyed on 1,420 primary and secondary school students. We also provided the results produced by structural equation model and Budescu's Dominance analysis. Based on these analyses, we described the differences between the Internet and mobile phone addictions and proposed an alternative to prevent new technology addictions.

• Korean journal of food and cookery science
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• v.29 no.5
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• pp.533-541
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• 2013

The purpose of this article was to study the influence of tangible clues of raw-fish restaurants on consumers' emotional responses and repurchasing behavior in eastern area of Kangwon-province. In this study frequency analysis, reliability analysis, factor analysis and path analysis(SEM) were applied to analyze the data. Through path analysis tangible clues' performances had generally significant influences upon consumers' emotional responses to buy products of raw-fish restaurants. According to the results, exterior facility had positive influence on pleasure(p<0.001) and arousal(p<0.01). Interior facility had positive influence on pleasure(p<0.001) and arousal(p<0.001), but negative on dominance(p<0.01). And the others had positive influence on pleasure(p<0.05). Press copy had positive influence on pleasure(p<0.001) and arousal(p<0.001). And Pleasure and arousal had positive influence on repurchasing behavior(p<0.001). But Dominance didn't have significant influence on repurchasing behavior. As a result, we studied that the tangible clues was an effective marketing tactic to maintain and increase consumers' positive emotional reponses to repurchase at restaurants. Therefore it is finally needed that dining-out corporations manage tangible clues in a customer-maintaining without additional costs, and especially to use mixing tangible clues each other in some suitable condition.

• Journal of Life Science
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• v.7 no.1
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• pp.59-65
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• 1997

In this experiment, gene actions were analysized for seven barley parents in order to obtain basic information on their genetic improvement by diallel crosses. The results obtained were summarized as follows. In analysis of variance, additive, dominant, maternal and reciprocal effects were observed significantly for culm length, tiller number, number of spiked per plant, culm diameter, awn length, leaf width, number of grains per spike, and 1000 grain weight. Over-dominance was shown by Vr-Wr graphic analysis in five characters such as tiller number, number of spikes per plant, length of flag leaf, number of grains per spike, and 1000 grain weight, and partial dominance in four characters such as culm length, culm diameter, awn length, and leaf width. Component of genetic varience analyzed for four characters such as culm diameter, awn length, length of flag leaf, and leaf width showed that additive effects were higher than dominant effects. Culm length, tiller number, number of spikes per plant, number of grains per spike, and 1000 grain weight showed dominant effects higher than additive effects. The narrow-sense heritability for awn length, leaf width, and number of grains per spike showed high values as more than 0.62, while broad-sense heritability for culm length, number of spikes per plant, culm diameter, awn length, leaf width, number of grains per spike, and 1000 grain weight showed high values as more than 0.65.

• Journal of Science Education
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• v.36 no.1
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• pp.14-21
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• 2012

We investigated the relationship of brain dominance with mathematics and science achievement. The participants were 131 middle school students (male: 74, female: 57). It was found that the above average group in mathematics and science achievement had the highest frequency with left lower brain (LLB) (mathematics: 33.8%, science: 35.0%), whereas the below average group in mathematics and science achievement had the highest frequency with right lower brain (RLB) (mathematics: 38.7%, science: 36.1%). The LLB score showed a significant difference between the above average group and the below average group in science (p<.05). In the correlational analysis, the LLB scores had the highest correlation coefficients (mathematics: r=.28, science: r=.26). The LUB scores had the second highest correlation coefficients (mathematics: r=.18, science: r=.24). These results suggest that LLB and LUB are related to mathematics and science achievement. Therefore, we insist that the assessment of mathematics and science achievement should consider brain dominance.