• Journal of The Korean Society of Grassland and Forage Science
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• v.36 no.2
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• pp.142-149
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• 2016

'Shinseong', a winter forage triticale cultivar (X Triticosecale Wittmack), was developed at the Department of Rice and Winter Cereal Crop, NICS, RDA in 2015. The cultivar 'Shinseong' was selected from the cross RONDO/2$^*$ERIZO_11//KISSA_4/3/ASNO/ARDI_3//ERIZO_7 by CIMMYT (Mexico) in 1998. Subsequent generations were handled in pedigree selection programs at Mexico from 1999 to 2004, and a line 'CTSS98Y00019S-0MXI-B-3-3-5' was selected for earliness and good agronomic characteristics. After preliminary and advance yield testing in Korea for 3 years, the line was designated 'Iksan47'. The line was subsequently evaluated for earliness and forage yield in seven locations, Jeju, Iksan, Cheongwon, Yesan, Gangjin, Daegu, and Jinju from 2013 to 2015 and was finally named 'Shinseong'. Cultivar 'Shinseong' has the characteristics of light green leaves, yellow culm and spike, and a medium grain of brown color. The heading date of cultivar 'Shinseong' was April 24 which was 3 days earlier than that of check cultivar 'Shinyoung'. The tolerance or resistance to lodging, wet injury, powdery mildew, and leaf rust of 'Shinseong' were similar to those of the check cultivar. The average forage dry matter yield of cultivar 'Shinseong' at milk-ripe stages was $15MT\;ha^{-1}$, which was 3% lower than that ($15.5MT\;ha^{-1}$) of the check cultivar 'Shinyoung'. The silage quality of 'Shinseong' (6.7%) was higher than that of the check cultivar 'Shinyoung' (5.9%) in crude protein content, while was similar to the check cultivar 'Shinyoung' in acid detergent fiber (34.6%), neutral detergent fiber (58.6%), and total digestible nutrients (61.6%). It showed grain yield of $7.2MT\;ha^{-1}$ which was 25% higher than that of the check cultivar 'Shinyoung' ($5.8MT\;ha^{-1}$). This cultivar is recommended for fall sowing forage crops in areas in which average daily minimum mean temperatures in January are higher than $-10^{\circ}C$.

• Journal of agriculture & life science
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• v.45 no.2
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• pp.125-133
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• 2011

This study was conducted on greenhouses whose side heights had been raised after the columns of 1-2W basic type greenhouses had been cut and welding with the same-sized pipes. When the wind load or snow load affects restructured pipe greenhouse like this, those parts will be structurally unsafe. To examine this, the bending strength of welded columns were measured through four stages and compared with the pipes in their original condition. Results are as follows. In the case of a bending test on welded joints about steel pipes used for greenhouses, satisfactory results couldn't be drawn because sections of both ends and the loading parts couldn't endure loads and sank regardless of loading methods. Partial problems could be solved by inserting inside pipe(steel bar) at the sections and the loading parts, but it was necessary to devise more satisfactory bending test methods. The strength of welded joints wasn't much different compared with original conditions and demonstrated only slight differences according to the sample production conditions. However, significant incompleteness in the welding process was expected to cause a decisive loss in strength. On the assumption that there were no problems in the welding process or with regard to the inclination of sub materials for columns after connection, it was deemed reasonable to assume that the strength of welded pipes was about 84~90% of the strength of the pipes in their original condition. Considering mid- and long-term strength decline following the onset of rust at joints or welding sections, structural changes in the main sub materials that are used for greenhouses at farmhouses have to be avoided to ensure structural safety, unless these changes are inevitable.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1757-1766
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• 2021

The green coverage ratio is the ratio of the land area to green coverage area, and it is used as a practical urban greening index. The green coverage ratio is calculated based on the land cover map, but low spatial resolution and inconsistent production cycle of land cover map make it difficult to calculate the correct green coverage area and analyze the precise green coverage. Therefore, this study proposes a new method to calculate green coverage area using aerial images and deep neural networks. Green coverage ratio can be quickly calculated using manned aerial images acquired by local governments, but precise analysis is difficult because components of image such as acquisition date, resolution, and sensors cannot be selected and modified. This limitation can be supplemented by using an unmanned aerial vehicle that can mount various sensors and acquire high-resolution images due to low-altitude flight. In this study, we proposed a method to calculate green coverage ratio from manned or unmanned aerial images, and experimentally verified the proposed method. Aerial images enable precise analysis by high resolution and relatively constant cycles, and deep learning can automatically detect green coverage area in aerial images. Local governments acquire manned aerial images for various purposes every year and we can utilize them to calculate green coverage ratio quickly. However, acquired manned aerial images may be difficult to accurately analyze because details such as acquisition date, resolution, and sensors cannot be selected. These limitations can be supplemented by using unmanned aerial vehicles that can mount various sensors and acquire high-resolution images due to low-altitude flight. Accordingly, the green coverage ratio was calculated from the two aerial images, and as a result, it could be calculated with high accuracy from all green types. However, the green coverage ratio calculated from manned aerial images had limitations in complex environments. The unmanned aerial images used to compensate for this were able to calculate a high accuracy of green coverage ratio even in complex environments, and more precise green area detection was possible through additional band images. In the future, it is expected that the rust rate can be calculated effectively by using the newly acquired unmanned aerial imagery supplementary to the existing manned aerial imagery.

• Korean Journal of Breeding Science
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• v.42 no.6
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• pp.600-605
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• 2010

'Dagreen' (Scale cereal L.), a new rye variety was developed from the open pollination among 10 rye lines at the National Institute of Crop Science in 1995 and mass selection were made at National Institute of Crop Science from 1996 to 1999. Recurrent selections were made at Dept. Rice and Winter Cereal Crop, NICS, RDA from 2000 to 2006. This new variety has erect plant type with medium size pale green leaves. The number of spike per $m^2$ was 713 and the plant height was 103cm. The heading date of 'Dagreen' was April 24 which was 7 days earlier than that of "Koolgrazer". It was adaptable for forage use at an early stage as a whole crop. Lodging resistance was higher than that of check variety 'Koolgrazer'. The chemical components and quality of forage showed 10.2 % crude protein, 36.6 % ADF, 62.4 % NDF and 59.9 % TDN. 'Dagreen' showed high resistance to powdery mildew and leaf rust than those of check variety in the field condition. The average dry matter (7,010kg $ha^{-1}$) of 'Dagreen' harvested at April 28 were 6 % higher than 'Koolgrazer'. This variety is recommended for all of the rye cultivation area in Korea.

• Journal of The Korean Society of Grassland and Forage Science
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• v.40 no.4
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• pp.209-215
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• 2020

A winter forage tetraploid rye (Secale cereale L.) cultivar, 'Daegokgreen', was developed at the Department of Central Area Crop Science, NICS, RDA in 2016. The mutant line 'CG11003-8-B', which was induced from rye cultivar 'Gogu' (diploid) by colchicine treatment, was selected for its excellent agronomic performance and was placed in preliminary yield trials for one year, 2013. The line was designated "Homil59" and was tested for regional yield trials at the four locations in Korea from 2014 to 2016. Finally, the new cultivar was named as the 'Daegokgreen' (grant number 8274). The leaf of cultivar 'Daegokgreen' is wide, long and dark-green color. The cultivar also has a big-size grain with light-brown color. The heading date of cultivar 'Daegokgreen' was April 17 which was 2 days later than that of check cultivar 'Gogu'. The tolerance to cold and wet injury, and resistance to powdery mildew and leaf rust of the new cultivar were similar to those of the check cultivar but the resistance to the lodging of the new cultivar was stronger than that of the check. The average roughage fresh and dry matter yield of the new cultivar after 10 days from heading were 37.0 and 7.7 MT ha-1, respectively, which were similar to those (38.4 and 8.0 MT ha-1) of the check cultivar. The roughage quality of 'Daegokgreen' was higher in crude protein content (8.9%) than that of the check cultivar (7.9%), while was similar to the check in total digestible nutrients (56.9%). This cultivar is recommended for fall sowing forage crops at all of crop cultivation areas in Korea.

• Journal of the Korea Institute of Building Construction
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• v.22 no.6
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• pp.651-662
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• 2022

The electrochemical impedance spectroscopy(EIS) method was used to evaluate the concrete deterioration process related to chloride-induced steel corrosion with various corrosion levels(initiation, rust propagation and acceleration periods). The impressed current technique, with four total current levels of 0C, 13C, 65C and 130C, was used to accelerate steel corrosion in concrete cylinder samples with w/c ratio of 0.4, 0.5, and 0.6, immersed in a 0.5M NaCl solution. A series of EIS measurements was performed to monitor concrete deterioration during the accelerated corrosion test in this study. Some critical parameters of the equivalent circuit were obtained through the EIS analysis. It was observed that the charge transfer resistance(R_c) dropped sharply as the impressed current increased from 0C to 13C, indicating a value of approximately 10kΩcm². However, the sensitivity of R_c significantly decreased when the impressed current was further increased from 13C to 130C after corrosion of steel had been initiated. Meanwhile, the double-layer capacitance value(C_dl) linearly increased from 50×10^-6μF/cm² to 250×10^-6μF/cm² as the impressed current in creased from 0C to 130C. The results in this study showed that monitoring C_dl is an effective measurement parameter for evaluating the progress of internal concrete damages(de-bonding between steel and concrete, micro-cracks, and surface-breaking cracks) induced by steel corrosion. The findings of this study provide a fundamental basis for developing an embedded sensor and signal interpretation method for monitoring concrete deterioration due to steel corrosion at various corrosion levels.