• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.225-225
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• 2022

Rice is a major food crop consumed by approximately half of the world's population. Heading date is one of the major agronomic traits and has a wide impact on the productivity and quality of rice. Recently, shortening the growth period of rice through modulating heading date has been emphasized as one of the most effective strategies for reducing methane emissions from paddy fields. OsPRR37, a major heading date gene in rice, represses flowering under both short-day and long-day conditions. Plants carrying the loss-of-function alleles of OsPRR37 have been reported to flower approximately seven days and 20 days earlier than those carrying the functional alleles in short day and long day conditions, respectively. In this study, we investigated the nucleotide sequence variation existing in the exonic regions of OsPRR37 and catalogued the allelic distribution in 208 Korean rice cultivars. We used four sets of primers for amplifying and sequencing the eight exons of OsPRR37. As a result, two types of loss-of-function alleles and four types of functional alleles were found in 208 Korean rice cultivars. Interestingly, only three cultivars (Jinbuolbyeo, Jinseolchal, and Mimyeon) carried loss-of-function alleles while 205 carried functional alleles, indicating that OsPRR37 loss-of-function alleles have been used very rarely in Korean rice breeding programs. To generate useful information for the development of early-maturing rice cultivars, our future work will focus on analyzing the effect of different OsPRR37 alleles on heading date and other major agronomic traits.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.47-47
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• 2023

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.1
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• pp.15-26
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• 2022

3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.

• Proceedings of the Korean Society of Crop Science Conference
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• 2018.10a
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• pp.9-12
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• 2018

China is an agricultural country. Rice, maize and soybean are major crops for national economy and people's livelihood. These three crops are also the pillar industry in northeast China, especially in Heilongjiang province.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.148-148
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• 2017

Soybean is an important economical resource of protein and oil for human and animals. The genetic basis of seed protein and oil content has been separately characterized in soybean. However, the genetic relationship between seed protein and oil content remains to be elucidated. In this study, we used a combined analysis of phenotypic correlation and linkage mapping to dissect the relationship between seed protein and oil content. A $F_{10:11}$ RIL population containing 222 lines, derived from the cross between two Korean soybean cultivars Seadanbaek as female and Neulchan as male parent, were used in this experiment. Soybean seed analyzed were harvested in three different experimental environments. A genetic linkage map was constructed with 180K SoyaSNP Chip and QTLs of both traits were analyzed using the software QTL IciMapping. QTL analyses for seed protein and oil content were conducted by composite interval mapping across a genome wide genetic map. This study detected four major QTL for oil content located in chromosome 10, 13, 15 and 16 that explained 13.2-19.8% of the phenotypic variation. In addition, 3 major QTL for protein content were detected in chromosome 10, 11 and 16 that explained 40.8~53.2% of the phenotypic variation. A major QTLs was found to be associated with both seed protein and oil content. A major QTL were mapped to soybean chromosomes 16, which were designated qHPO16. These loci have not been previously reported. Our results reveal a signi cant genetic relationship between seed protein and oil fi content traits. The markers linked closely to these major QTLs may be used for selection of soybean varieties with improved seed protein and oil content.

• Korean Journal of Medicinal Crop Science
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• v.23 no.5
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• pp.395-399
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• 2015

Background : This study examined the effect of harvesting time on the growth, yield characteristics, and major beneficial components in Salvia miltiorrhiza. Methods and Results : Although plant height, stem diameter and branch length were not affected by harvesting time, the number of stems was highest when harvested in mid October. There were no differences in root length and thickness, however, the rhizome was thicker when it was harvested at the end of October or early November than when it was harvested in early and mid October. The dried root weight also showed a similar pattern. However, there was a statistically significant increase to 408 kg (16%) in the rhizome weight when in late October and a rise to 455 kg (29%) when harvested in early November. Harvest time had little effect on the content of the major component of S. miltiorrhiza. For example, salvianolic acid content rose from 9.42 to 9.64% with later harvest times, and tanshinone ${\prod}A$ content was tended to be slightly more increased in mid October which S. miltiorrhiza has 0.22% tanshinon ${\prod}A$ than in early October. Conclusions : According to these results, the optimum harvest time for S. miltiorrhiza is early November when plant or major component yields are hightest. There were no significant harvest time effects on the major beneficial components.

• Korean Journal of Medicinal Crop Science
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• v.11 no.4
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• pp.274-278
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• 2003

The various plant organs of fennel (Foeniculum vulgare Mill.) were investigated to identify their volatile components using Dynamic Headspace (purge & trap). They showed slight differences concerning the volatile components both qualitatively and quantitatively. Results revealed that trans-anethole (12.65%) was the major compound in the leaf. The highest compound was ${\alpha}-pinene$ (28.78%), and trans-anethole (7.90%) was highly detected in the stem. The maximum values were 5.64, 4.59, 1.58, 1.51, and 1.04% for ${\alpha}-pinene,\;{\gamma}-terpinene,\;{\beta}-pinene$, 1,8-cineol and fenchone, respectively in the flower. However, very little trans-anethole was detected (0.27%) in the flower. From these results, it was suggested that the major components were different depending on the plant organs. However it was demonstrated that the related plant organs like flower-fruit and leaf-stem contained the similar components.

• Korean Journal of Medicinal Crop Science
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• v.12 no.2
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• pp.149-153
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• 2004

This study was carried out to compare the major volatile components in essential oil from different origin of Atractylodes spp. which is being traded as a crude herbal drug in Korean herbal markets. From the two Atractylodes of major volatile components were similarly detected such as the ${\beta}-selinene,\;{\beta}-sesquiphellandrene$, germacrene B, 2,7-dimethoxy-2-methylnaphthalene and 9-methoxy-2,3-dihydrofuro{3,2-q}coumarin. Among the volatile components, the major components were 2,7-dimethoxy-2-methylnaphthalene (40.98%), 9-methoxy-2,3-dihydrofuro {3,2-q} coumarin (15.74%), and ${\beta}-sesquiphellandrene$ (1.98%) in both Atractylodes. As a results, It was found that the two Atractylodes were the same species which was being traded in the Korean herbal markets as the A. japonica. not to different species of A. japonica and A. macrocephalla, respectively.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.04a
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• pp.20-20
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• 2022

• Proceedings of the Korean Society of Crop Science Conference
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• 2019.04a
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• pp.128-128
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• 2019