• The Plant Pathology Journal
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• v.19 no.2
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• pp.106-110
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• 2003

Stolbur Phytoplasma was detected from Lilium Oriental hybrids showing flattened stem and flower clustering. The presence of phytoplasma was demonstrated using polymerase chain reaction（PCR) assays with phyto-plasma-universal（P1/P6）and stolbur phytoplasma-specific 16F1/R1-S primer pairs amplifying phytoplasma 16S rDNA regions. Nucleotide suquences of the phytoplasma 16S rDNA were determined. Nucleic acid extracted from lily amplified 1.5 kb DNA with a phytoplasma universal primer pair. In nested PCR, 1.1 kb PCR product was obtained using specific primer pair, indicating an isolate of stolbur phytoplasma. Nucleotide sequence of phytoplasma 16S rDNA reported in this study showed 99.5% and 99.1％ identities with two known stolbur phytoplamas (16Sr XII-A). Also, it exhibited a sequence homology of 98.0％ with phormium yellow leaf (16Sr XII-B), and 97.9％ with Australian grapevine yellows (16Sr XII-B). Meanwhile, it showed 98.1% identity with strawberry green petal phytoplama, (16Sr1-C), and 94.7 % with American aster yellows (16Sr1-B). Homology percentage of the 16S rDNA nucleotide sequence suggests that this phytoplama could be classified into the stolbur phytoplasma, subgroup A (16Sr XII-A), as a type strain stolbur.

• Korean Journal of Organic Agriculture
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• v.9 no.4
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• pp.71-93
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• 2001

Within the paper, an overview of organic farming in Europe countries is given and the Principle and skills of organic agriculture is shortly reported with special regard to Germany. The overview information on European organic forming is covered such as \circled1 development of organic farming, \circled2organic farming organizations, \circled3standards and certification, \circled4implementation of EU council regulation, \circled5state support, \circled6implementation of Agenda 2000, \circled7training and education, \circled8advisory service and research situation. In the paper the principle and skills for organic farming which are practiced actually in the German organic farms is also reported. How to maintain and increase the fertility and microbiological activity of the soil by \circled1cultivation of legumes, green manures or deep-rooting crops in multi-annual rotation system, \circled2incorporation in the soil organic material, by-products from livestock farming is one of the major principle to organic crop production. Pest and diseases and weeds are controlled by any one, or a combination of the following measure ; \circled1choice of appropriate species and varieties, \circled2appropriate rotation programs, \circled3mechanical cultivation, \circled4protection of natural enemies of pests through provision of favourable habitat and ecological buffer zone, \circled5diversified ecosystems, \circled6flame weeding, \circled7natural enemies, \circled8bio-dynamic preparations, \circled9mulching and mowing, \circled10grazing of animals, ⑪mechanical controls, ⑫steam sterilization.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.16-25
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• 2020

Vegetation segmentation in a field color image is a process of distinguishing vegetation objects of interests like crops and weeds from a background of soil and/or other residues. The performance of the process is crucial in automatic precision agriculture which includes weed control and crop status monitoring. To facilitate the segmentation, color indices have predominantly been used to transform the color image into its gray-scale image. A thresholding technique like the Otsu method is then applied to distinguish vegetation parts from the background. An obvious demerit of the thresholding based segmentation will be that classification of each pixel into vegetation or background is carried out solely by using the color feature of the pixel itself without taking into account color features of its neighboring pixels. This paper presents a new pixel-based segmentation method which employs a multi-layer perceptron neural network to classify the gray-scale image into vegetation and nonvegetation pixels. The input data of the neural network for each pixel are 2-dimensional gray-level values surrounding the pixel. To generate a gray-scale image from a raw RGB color image, a well-known color index called Excess Green minus Excess Red Index was used. Experimental results using 80 field images of 4 vegetation species demonstrate the superiority of the neural network to existing threshold-based segmentation methods in terms of accuracy, precision, recall, and harmonic mean.

• Journal of Environmental Science International
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• v.11 no.3
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• pp.149-154
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• 2002

This study was conducted to find the structure of phytoplankton community in the Hoeya river(Ulsan) from March 2000 to February 2001. The taxa of phytoplankton identified included 135 species, 5 divisions, 33 families and 82 genera. Among them, chrysophyta(diatoms) were 63 species(46.7%), chlorophyta(green algae) 47 species(34.8%), pyrrophyta(dinoflagellates) 13 species(9.6%), cyanophyta (cyanobacteria) 8 species(5.9%) and euglenophyta(euglenoids) 4 species(3.0%) respectively. Ecological important species is called frequently appearing species, red tide causative species, seawater species and pollution indicator. 22 species including Aulacoseira granulate were recorded frequently appearing species. 19 species including Ceratium furca were recorded as red tide causing species. And the pollution indicators were 33 species including Actinastrum hantzschii var. fluviatile. The highest standing crops were 3,103,441 cells/$\ell$ in August at the RW-1 and the lowest 1,245 cells/ $\ell$ in January at the RW-5. In the community analysis, the dominanance indices ranged from 0.34(October, RW-2) to 0.94(January, RW-1) and the diversity indices from 0.50(May, RW-2) to 2.57(September, RW-2). The saprobic indices were 2.43 in RW-1, 2.41 in RW-2, 2.375 in RW-3, 2.40 in RW-4, 2.43, in RW-5. Therefore, these areas were investigated "$\beta$-mesosaprobic". According to the similarity index among the stations, these areas were defined as residential district areas(RW-2 and RW-3), lower part of the dam (RW-1) and seawater areas(RW-4 and RW-5).

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.1
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• pp.99-105
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• 2004

The present agricultural water quality standards are set by a policy goal. This is intended for water quality management of public water resources, but not for the use of water resources. These standards were not determined by considering the influence of water quality on the safety of agricultural produce and the growth, yield and quality of agricultural crops. Thus, this study was carried out to investigate the influence of irrigation water quality on the growth, yield, and grain quality of rice and acquire fundamental knowledges to set up irrigation water quality standards. The pot experiment was conducted with 4 treatments using irrigation waters with various total nitrogen concentrations (control, 1, 5, 10, 20mg/L) and replicated four times with randomized block design. The results of this study showed that plant height, number of tiller, plant dry weight, the uptake of N, P, and K, and rice protein contents tended to increase as the T-N concentration in irrigation water was increased. In addition, grain yield at T-N 20 mg/L was significantly higher than in the control, but the percentage of head rice was slightly lower due to the increase of green kernel and white belly/core kernel.

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.25-37
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• 2020

The aim of this study is to assess the potential for fusion and convergence in industrial agriculture. First, we analyzed the types of industrial agriculture and applied the agri-business and ICT agriculture. After then, we analyzed the Project Potential Index (PPI) of the agri-business and ICT agriculture using the agricultural enterprise database provided from Rural Research Institute in Korea. The results revealed that Haenam have a high potential for agri-business project because of large number of farmers and annual sales. Wanju was considered as the suitable place for ICT agriculture project because of large area of greenhouse. This study was applied only 7 study area but the methodology suggested in this study could be widely used for assessing potential project various types of industrial agriculture.

• Applied Chemistry for Engineering
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• v.32 no.5
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• pp.487-496
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• 2021

Microalgae is one of the promising biodiesel feedstock with high growth rates compared to those of terrestrial oil crops. Despite its numerous advantages, biodiesel production from microalgae needs to reduce energy demand and material costs further to go to commercialization. During solvent extraction of microalgal lipids, lipid-extracted algae (LEA) cell residue is generated as an organic solid waste, about 80-85% of original algal biomass, and requires an appropriate recycling or economic disposal. The resulting LEA still contains significant amount of carbohydrates, proteins, N, P, and other micronutrients. This review will focus on recent advancement in the utilization of LEA as: (i) utilization as nutrients or carbon sources for microalgae and other organisms, (ii) anaerobic digestion to produce biogas or co-fermentation to produce CH₄ and H₂, and (iii) conversion to other forms of biofuel through thermochemical degradation processes. Possible mutual benefits in the integration of microalgae cultivation-biodiesel production-resulting LEA with anaerobic digestion and thermochemical conversion are also discussed.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.673-684
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• 2021

Background and objective: This study seeks to investigate domestic agro-healing farm resources so that preliminary data can be obtained on the systematic provisions for agro-healing programs in order to improve service quality and to identify the quality of agro-healing policy services. Methods: For this study, owners of agro-healing facilities were asked 24 questions via an online survey. An importance-performance analysis (IPA) was conducted to identify service quality for each policy sector. Results: Respondents' satisfaction levels were low when compared to agro-healing farm owners' perceptions of the above-average importance of each sector. The results from the resource analysis of domestic agro-healing farms indicated that the main operational purposes of farms were, in descending order, experience (90.0%), healing (86.7%), and education (84.0%). With respect to the type of program that was operated, cultivating crops (horticultural therapy) was identified most frequently at 83.3%. Conclusion: As a result of this study, the resources possessed by agro-healing farms were identified. In addition, the results of the IPA analysis in terms of service quality are not as good as expected, and performance levels should be increased to improve this. The results of this study are expected to provide useful information not only to improve the quality of agro-healing services, but also to revitalize the agro-healing industry while developing a systematic agro-healing program.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.275-275
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• 2022

One of the most widely grown food crops in the world, wheat, is increasing more lodged since for increased rains and winds caused by abnormal climate. During the Green Revolution, shorter wheat cultivars were bred using many Rht genes to increase lodging resistance. However, since only some Rht genes were used for breeding shorter wheat, it may have had a limited impact on wheat breeding and reduced genetic diversity. Therefore, it is essential to search for genes that have breeding potential and affect dwarfism in order to increase the genetic diversity of dwarf characteristics in wheat. In this study, we performed the RNA-seq between 'Keumkang' and 'Komac 5' ('Keumkang' mutant) to analyze the difference in plant height. Differentially expressed genes (DEGs) analysis and Gene function annotation were performed using 265,365,558 mapped reads. Cluster set analysis was performed to compress and select candidate gene DEGs affecting plant height, stem and internode. Gene expression analysis was performed in order to identify the functions of the selected genes by condensing the results of the DEG analysis into a cluster set analysis. This analysis of these plant height-related genes could help reduce plant height, improve lodging resistance, and increase wheat yield. Its application to wheat breeding will also affect the increased genetic diversity of wheat dwarfism.

• Journal of The Korean Society of Grassland and Forage Science
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• v.43 no.3
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• pp.183-189
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• 2023

It is widely known that forage corn is one of the most important crops in the production of silage and green chops during the summer months. In this study, the characteristics and the productivity of Kwangpyeongok, AGR 41, and Nero IT corn cultivars were evaluated in the regions of Jeju and Cheonan, Korea between 2021 and 2022. In each year, different corn cultivars were sown in different parts of the country on April 7 in Jeju and May 3 in Cheonan. The yield of three cultivars, Kwangpyeongok, AGR 41, and Nero IT were measured at the yellow-ripening stage, including the leaves and stems (Stover) and corn grain. Kwangpyeongok stover and total dry matter (DM) yields were slightly higher in Cheonan than in Jeju over the past two years. The quantity of corn cultivated in all cultivated areas was similar. The average yield of AGR 41, corn quantity and total DM were slightly higher in Jeju than in Cheonan. In terms of stover yield, and total dry matter content of the Nero IT cultivar cultivated in Jeju had a slightly higher yield than the cultivar cultivated in Cheonan. Based on this study, all cultivars can show some variations but not too much in terms of growth productivity and distinct characteristics depending on their location. Overall, AGR 41, and Nero IT cultivars in Jeju exhibit slightly higher levels of productivity than the same cultivars in Cheonan.