• Journal of The Korean Society of Grassland and Forage Science
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• v.38 no.1
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• pp.44-52
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• 2018

This experiment was conducted at Suwon, Korea from 2013 to 2015. The objective of this study was to establish the optimum seeding rate, and to clarify the nitrogen fertilizer level for rye seed production in central and north area of Korea. We used Korean rye cultivar 'Gogu' for this test. We employed a split-plot design with three replications. The main plots were designed by three seeding levels (3, 5 and $7kg\;10a^{-1}$), but other sub-plots were randomly seeded. The plots were treated with three different nitrogen fertilizer levels (3, 6 and $9kg\;10a^{-1}$). The percentage of productive tiller, number of grain per spike, fertility rate, 1 liter weight, and 1000-grain weight decreased as seeding rate increased from $3kg\;10a^{-1}$ to $7kg\;10a^{-1}$, whereas the number of spike per $m^2$ increased. Therefore the grain yields of rye had less of an effect by increasing seeding rate. There was an increase in number of spike per $m^2$, number of grain per spike, and fertility rate as nitrogen fertilizer level increased from $3kg\;10a^{-1}$ to $9kg\;10a^{-1}$, but grain yields significantly not affected by the interaction of seeding rate ${\times}$ nitrogen fertilizer levels. However, the best seeding rate and nitrogen fertilizer level for rye seed production were 5 kg and $5{\sim}6kg\;10a^{-1}$, respectively, considering seed and fertilizer reduction and the prevention of pollution by excess fertilization.

• The Korean Journal of Food And Nutrition
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• v.19 no.2
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• pp.183-192
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• 2006

The purpose of this study was to investigate the performance of elementary school dietitians in terms of nutrition education in the northern portion of Gyeonggi province. Self-administered questionnaires were given to 50 dietitians who have worked in elementary schools with self-operation food service, and 35(70%) dietitians returned the questionnaires. The results are summarized as follows: no students took part in nutrition education as a regular course, but all dietitians performed nutrition education in passive ways, such as 'using home correspondence'(39.0%), 'bulletin board/poster'(22.0%), 'using the internet'(13.4%) and 'indirectly through a classroom teacher'(12.2%). Most respondents performed nutrition education 'one time/month'(66.0%) or 'one time/week'(20.0%). The respondents thought that suitable teaching times for nutrition education were 'during a related subject'(35.5%), 'during lunch time'(22.6%) rather than 'during an independent subject'(16.1%). Most of the dietitians(94.3%) did not perform nutrition counseling because of 'a lack of opportunity'(72.7%) and 'workload'(27.3%). Additionally 88.6% of respondents did not have the time of for nutrition counseling for parents because 'am not a teacher'(56.7%) and 'workload'(30,0%). Information sources for nutrition education were mainly 'internet'(71.4%) and 're-educationa1 materials'(17.1%). They possessed instructional materials in the forms of 'printed materials'(35.1 %), 'exhibition/bulletin board'(31.2%), and 'electrical materials'(33.8%), 'but did not have 'solid materials' such as food models and dolls. Generally they had mostly 'leaflets'(82.9%), 'bulletins'(68.6%), 'internet'(57.1%), and 'CDs'(57.1%). Preferences for instructional materials used were 'printed materials'(46.2%), 'exhibition/bulletin board'(36.5%), and 'electrical materials'(17.3%) 'Leaflets'(80.0%) were mainly used; 'CD'(17.1 %) use was low compared to the proportion possessing CDs. The topics frequently chosen by the subjects for nutrition education were 'table manners'(82.9%), 'basic concepts of food and nutrition'(80.0%), and 'proper food habits'(80.0%), but the topics helpful for practical use, such as 'how much do I eat'(20.0%) and 'nutrition labeling'(37.1%), were not included frequently. The respondents thought that 'eating only what they like'(60.0 %), 'intake of processed foods'(17.8%), and 'obesity'(17.8%) were the most common nutritional problems among elementary school children. They also thought that establishing a regular course for nutrition education was an effective way to cut down on these nutritional problems. In conclusion, nutrition education programs that are combined with effective instructional materials and practical topics should be developed. Additionally, it is recommended that dietitians act as teachers who participate in regular courses as soon as possible.

• Korean Journal of Construction Engineering and Management
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• v.25 no.2
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• pp.23-35
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• 2024

This study analyzed the correlation between each of the 12 influencing factors in FAR 16.04 and the decision-making process for construction contract types, using data from a total of 2,406 DoD Construction Acquisitions spanning from 2008 to 2022. The study considered 12 independent variables, grouped into 4 Characteristics with 3 factors each. Meanwhile, all other contract types were categorized into two types: Firm-Fixed-Price (FFP) and Cost-Reimbursement Contract (CRC), which served as the dependent variables. The findings revealed that FFP contracts significantly dominated in terms of acquisition volume. In line with prevailing beliefs, logistic data analysis and Analytical Hierarchy Process (AHP) analysis of Relative Weights from Experts' Survey demonstrated that independent variables like Uncertainty of the Scope of Work and Complexity found out to be increasing the likelihood of selecting CRC. The number of contractors in the market does indeed influence the possibilities of contract decision-making between CRC and FFP. Meanwhile, the p-values of the top 3 influencing factors on CRC from the AHP analysis-namely, Appropriateness of CAS, Project Urgency, and Cost Analysis-exceeded 0.05 in the binominal regression results, rendering it inconclusive whether they significantly influenced the construction contract type decision, particularly with respect to payment methods. This outcome partly results from the fact that a majority of respondents possessed specific experiences related to the USFK relocation project. Furthermore, influencing factors in construction projects behave differently than common beliefs suggest. As a result, it is imperative to consider the 12 influencing factors categorized into 4 Characteristics areas before establishing acquisition strategies for targeted construction projects.