본 연구는 도심지 경관용으로 식재되는 초화류의 일조부족에 따른 관상성의 차이를 평가하기 위하여 수행하였다. 생장 특성에 따라 수직형, 부채꼴형, 반구형 식물 6종을 대상으로 7개월간의 차광처리 후 생장 특성을 조사하였다. 이 후 각 생장 유형에 따라 형태, 밀도, 색상 등의 관상 특성을 표현할 수 있는 산출식을 도출하였다. 차광처리 전, 후 식물 생육을 측정 한 후 산출식에 따라 관상가치를 평가한 결과 가우라는 자생 지 환경에서의 관상가치를 5점으로 하였을 때 50% 차광에서 0.66점 낮았고, 돌단풍은 80%에서 0.99점 부족한 관상성을 나타냈다. 다양한 환경조건에서 식물들의 생장 패턴을 유형화하는 등의 지속적인 경관식물의 가치 정량화에 대한 후속연구를 통해 도심지 녹지의 질을 높이는데 다양한 식물이 활용될 수 있게 함으로써 관상식물의 부가가치 향상을 기대할 수 있을 것이라 사료된다.

Lexical richness makes an important contribution to L2 writing quality. To explore its importance, the study aims to identify and explain how lexical richness manifests in argumentative essays written in the final exam of reading and writing class by thirty-five undergraduates. The lexical richness consists of four interrelated elements: lexical diversity, density, sophistication, and fluency. Detailed text analysis can identify these elements in EFL students' academic writing. The correlation analysis showed that the use of lexical diversity, sophistication, and fluency all affect writing quality and can be seen differently in a text depending on different score ranges, vocabulary knowledge and linguistic performance. Further, the regression analysis revealed that the lexical sophistication was found to be the most significant predictor that contributes to writing quality. In sum, the lexical richness displayed in written text is a result of a person’s underlying vocabulary knowledge. This study ends with a pedagogical implication for teaching lexical richness in EFL academic coursework.

By examining two low-proficiency EFL students’ experiences of reading literature, and of writing about what they have read during a semester-long reading/writing course, we investigate literature’s place in EFL writing classes. We also observe whether using literature in EFL writing classes lead to successful synergies among LW (learning-to-write), WLL (writing-to-learn language), and WLC (writing-tolearn content). We adopt a case study methodology. The participants, Mia and Sun, are first-year students who attend a private university in Seoul. Both students favor the inclusion of literature in the reading-writing classroom. Mia experiences the literature-reading-writing connection mainly as language knowledge, with the strong appreciation for WLL perspective. By comparison, Sun concerns for LW dimensions of writing, together with the WLL perspective. This study provides evidence that literature-reading-writing connection serves as a vehicle not only for a rich reading experience but also for the synergistic learning of writing, content, and language.

Background : Sorghum is a major cereal food crop used in many parts of the world. It has been grown on a subsistence level by farmers, under various conditions of environmental stresses in the semi-arid tropics of Africa and Asia. This crop has received significant attention because of its ability to lower cholesterol in the blood, and its anti-dementia, antioxidant, and antimicrobial properties. It is possible to develop a functional and commercially viable sorghum variety by using superior cultivars of sorghum. The objective of this study was to construct a database of superior sorghum accession. Methods and Results : We used 250 sorghum accessions collected from different geographical bioregion in Korea. We determined various growth characters including germination rate and ear length of these accessions. To determine the antioxidant capacity, we measured the DPPH radical scavenging activity, ABTS scavenging activity, total phenolic contents, and total flavonoid contents. 189 accession showed higher germination (> 80%) than other accessions. Higher DPPH radical scavenging activity was observed in 11-SB-078 (RC50: 1.89 ± 2.88 ㎍/ ㎖), and higher ABTS scavenging activity was recorded in 11-SB-116 (RC50: 35.48 ± 2.42 ㎍/㎖) than other accessions. The ear length ranged from 15 ㎝ to 48 ㎝, the total phenolic contents ranged from 3 ㎎·GAE/g to 77 ㎎·GAE/g, and total flavonoid contents ranged from 0.09 ㎎·QE/g to 1.07 ㎎·QE/g. Conclusion : Among 250 sorghum accessions, we selected 10 with both superior agronomic characters and higher functional food quality.

In this study we established the high throughput screening system of high functional soybean cultivars using PLS modeling from FT-IR spectral data of soybean(Glycine max L) seeds. Crude extract of 20% methanol from soybean seed powders (153 lines) were used for FT-IR spectroscopy. Total fatty acid, carotenoids, flavonoids and phenolic compounds contents from soybean seed powders were analyzed using UV-spectrum and GC analysis respectively. PCA analysis showed that 153 soybean lines formed a single clusters with a few outlier. PC score 1 and 2 represented 39.5, 16.4% of total variation, respectively. And than showed change patten from the middle to outside for PCA plot. We conducted PLS regression analysis between FT-IR spectral data and fatty acids data. Palmitic acid showed the highest regression coefficient (R=0.78). This result implied that the content of palmitic acid could be predicted from FT-IR spectral data from soybean seed powders with relatively high fidelity. PLS modeling of total carotenoids also showed regression coefficient of 0.69. Regression coefficient of total flavnoids and phenolic compounds were 0.44, 0.39, respectively. At present, we are trying to confirm the accuracy of PLS prediction modeling using targeted metabolite analysis (GC-MS, LC-MS) from predicted soybean lines. To increase the accuracy of PLS modeling, we also trying to standardization of spectroscopy and spectral data processing. Furthermore we are going to develop PLS modeling from GC-MS, LC-MS data. The PLS prediction modeling established in this study could be applied for high throughput screening of other leguminous plant.