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RISS 인기검색어
- 검색키워드
- 저자 : Churl-Whan Kang (검색결과 31 건)
- 무료
- 기관 내 무료
- 유료
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A New Sesame Variety, “Kangbaek” with Disease Resistance, Lodging Tolerence and High Yield
Kang-Bo Shim,Churl-Whan Kang,Suk-Bok Pae,Si-Kyu Lim,Yu-Young Lee,Duck-Yong Suh,Jae-Whan Rho,Jin Song,Dong-Whi Kim,Ho-Young Kim 한국육종학회 2005 한국육종학회지 Vol.37 No.5
A new sesame variety Kangbaek was developed from Yeongnam Agricultural Research Institute in 2004. Cros wasmade by lodging resistant SP9003-3 line to the F1with high yielding capacity, folowed by pedigree selection, yield test and RYT by the sesame breeding team at the National Insti-tute of Crop Science up to 2003. The variety showed higher disease resistance, especially phytophothra disease, and lodging resis-respectively. It's 1000 grains weight was about 2.54 g indicating 0.03 g heavier than that of Yangbaekkae, and it's oil content wasabout 52%. Kangbaek also contained total 7.65mg/g of such lignans as sesamin and sesamolin. The average yield of Kang-baek was 82 kg per 10a at the national-wide regional performance.
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김정수,박정래,노일환,원충희,김흥식,강신일,박찬홍,김달영,이철원,이찬규 公州大學校스포츠科學硏究所 1987 스포츠科學硏究所論文集 Vol.- No.1
Hearing impairement in varying degrees constitutes one of the most common disabilites affecting school aged children. Eight out of every 1,000 students under the age of twenty have significant hearing loss. Hearing disabilities range from slight to total loss of sound perception. Statistics indicate that only one out of every ten hearing impaired children will become deaf. Most motor activities can be included students may possess low levels of static and/ or dynamic balance, but the greatest majority possess normal motor and physical capabilities. All the hearing impaired youngsters should be properly assessed and given the identical testing batteries as normal children. Hearing impaired students have, essentialy, a communication handicap and suffer from inability to understand verbal instructions. All physical educators should be able to use minimal finger spelling and signing for hearing impaired students.
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Kang, Churl-Whan,Kim, Dong-Hwi,Lee, Sung-Woo,Kim, Ki-Jong,Cho, Kyu-Chae,Shim, Kang-Bo The Korean Society of Crop Science 2006 Korean journal of crop science Vol.51 No.suppl1
To investigate seed non destructive and fast determination technique utilizing near infrared reflectance spectroscopy (NIRs) for screening ultra high oleic (C18:1) and linoleic (C18:2) fatty acid content sesame varieties among genetic resources and lines of pedigree generations of cross and mutation breeding were carried out in National Institute of Crop Science (NICS). 150 among 378 landraces and introduced cultivars were released to analyse fatty acids by NIRs and gas chromatography (GC). Average content of each fatty acid was 9.64% in palmitic acid (C16:0), 4.73% in stearic acid (C18:0), 42.26% in oleic acid and 43.38% in linoleic acid by GC. The content range of each fatty acid was from 7.29 to 12.27% in palmitic, 6.49% from 2.39 to 8.88% in stearic, 12.59% of wider range compared to that of stearic and palmitic from 37.36 to 49.95% in oleic and of the widest from 30.60 to 47.40% in linoleic acid. Spectrums analyzed by NIRs were distributed from 400 to 2,500 nm wavelengths and varietal distribution of fatty acids were appeared as regular distribution. Varietal differences of oleic acid content good for food processing and human health by NIRs was 14.08% of which 1.49% wider range than that of GC from 38.31 to 52.39%. Varietal differences of linoleic acid content by NIRs was 16.41% of which 0.39% narrower range than that of GC from 30.60 to 47.01%. Varietal differences of oleic and linoleic acid content in NIRs analysis were appeared relatively similar inclination compared with those of GC. Partial least square regression (PLSR) among multiple variant regression (MVR) in NIRs calibration statistics was carried out in spectrum characteristics on the wavelength from 700 to 2,500 nm with oleic and linoleic acids. Correlation coefficient of root square (RSQ) in oleic acid content was 0.724 of which 72.4 percent of sample varieties among all distributed in the range of 0.570 percent of standard error when calibrated (SEC) which were considerably acceptable in statistic confidence significantly for analysis between NIRs and GC. Standard error of cross validation (SECV) of oleic acid was 0.725 of which distributed in the range of 0.725 percent standard error among the samples of mother population between analyzed value by NIRs analysis and analyzed value by GC. RSQ of linoleic acid content was 0.735 of which 73.5 percent of sample varieties among all distributed in the range of 0.643 percent of SEC. SECV of linoleic acid was 0.711 of which distributed in the range of 0.711 percent standard error among the samples of mother population between NIRs analysis and GC analysis. Consequently, adoption NIR analysis for fatty acids of oleic and linoleic instead that of GC was recognized statistically significant between NIRs and GC analysis through not only majority of samples distributed in the range of negligible SEC but also SECV. For enlarging and increasing statistic significance of NIRs analysis, wider range of fatty acids contented sesame germplasm should be kept on releasing additionally for increasing correlation coefficient of RSQ and reducing SEC and SECV in the future.
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Churl-Whan Kang,Dong-Hwi Kim,Sung-Woo Lee,Ki-Jong Kim,Kyu-Chae Cho,Kang-Bo Shim 韓國作物學會 2006 Korean journal of crop science Vol.51 No.1S
To investigate seed non destructive and fast determination technique utilizing near infrared reflectance spectroscopy (NIRs) for screening ultra high oleic (C18:1) and linoleic (C18:2) fatty acid content sesame varieties among genetic resources and lines of pedigree generations of cross and mutation breeding were carried out in National Institute of Crop Science (NICS). 150 among 378 landraces and introduced cultivars were released to analyse fatty acids by NIRs and gas chromatography (GC). Average content of each fatty acid was 9.64% in palmitic acid (C16:0), 4.73% in stearic acid (C18:0), 42.26% in oleic acid and 43.38% in linoleic acid by GC. The content range of each fatty acid was from 7.29 to 12.27% in palmitic, 6.49% from 2.39 to 8.88% in stearic, 12.59% of wider range compared to that of stearic and palmitic from 37.36 to 49.95% in oleic and of the widest from 30.60 to 47.40% in linoleic acid. Spectrums analyzed by NIRs were distributed from 400 to 2,500 nm wavelengths and varietal distribution of fatty acids were appeared as regular distribution. Varietal differences of oleic acid content good for food processing and human health by NIRs was 14.08% of which 1.49% wider range than that of GC from 38.31 to 52.39%. Varietal differences of linoleic acid content by NIRs was 16.41% of which 0.39% narrower range than that of GC from 30.60 to 47.01%. Varietal differences of oleic and linoleic acid content in NIRs analysis were appeared relatively similar inclination compared with those of GC. Partial least square regression (PLSR) among multiple variant regression (MVR) in NIRs calibration statistics was carried out in spectrum characteristics on the wavelength from 700 to 2,500 nm with oleic and linoleic acids. Correlation coefficient of root square (RSQ) in oleic acid content was 0.724 of which 72.4 percent of sample varieties among all distributed in the range of 0.570 percent of standard error when calibrated (SEC) which were considerably acceptable in statistic confidence significantly for analysis between NIRs and GC. Standard error of cross validation (SECV) of oleic acid was 0.725 of which distributed in the range of 0.725 percent standard error among the samples of mother population between analyzed value by NIRs analysis and analyzed value by GC. RSQ of linoleic acid content was 0.735 of which 73.5 percent of sample varieties among all distributed in the range of 0.643 percent of SEC. SECV of linoleic acid was 0.711 of which distributed in the range of 0.711 percent standard error among the samples of mother population between NIRs analysis and GC analysis. Consequently, adoption NIR analysis for fatty acids of oleic and linoleic instead that of GC was recognized statistically significant between NIRs and GC analysis through not only majority of samples distributed in the range of negligible SEC but also SECV. For enlarging and increasing statistic significance of NIRs analysis, wider range of fatty acids contented sesame germplasm should be kept on releasing additionally for increasing correlation coefficient of RSQ and reducing SEC and SECV in the future.
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Genotype-by-Environment Interaction in Yield of Sesame
Kang-Bo Shim,Churl-Whan Kang,Dong-Hee Kim,Jang-Whan Park 韓國作物學會 2003 Korean journal of crop science Vol.48 No.2
This study was conducted to analyze the effects of genotypes, environments and interaction of G~times E on yields of sesame grown in seven different environments by AMMI analysis. Environments accounted for the largest (91 %) proportion of the sums of squares, followed by G~times E (8%) and genotypes (1%) Therefore, G~times E effects are theoretically eight times as important as G effects. G2 (Yanghukkae) has the largest IPCAI scores indicating higher G~times E interaction. G3 (Suwon 171) was near zero score of IPCAI suggesting higher stability than others in yield component. Most of environments except for Iksan area shows different G~times E effects by years, which means Iksan is optimal area for multi-environmental adaptation evaluation in sesame breeding programs. According to this experiment, it is concluded that maximization of grain yield through environments can be achieved by specific genotypes in specific environments.
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A New Short Stem with Dense Capsule and High Yielding Sesame Variety "Namback"
Churl Whan Kang,Dong Hwi Kim,Sung Woo Lee,Kang Bo Shim,Myoung Hwa Kang,Jin Kyong Kim,Jae Hwan Rho,Myung Kyu Oh,Hak Soo Byeon,In Jae Kim,Bum Yeul Ryu 한국육종학회 2002 한국육종학회지 Vol.34 No.4
A new sesame variety 'Namback'was developed at the National Crop Experiment Station through a cross between commercialiy utilized varieties of high yielding 'Danbackkae' and late seeding of second cropping daptable 'Chinjukkae' at 1989 and had been select
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Genotype-by-Environment Interaction in Yield of Sesame
Shim, Kang-Bo,Kang, Churl-Whan,Kim, Dong-Hee,Park, Jang-Whan The Korean Society of Crop Science 2003 Korean journal of crop science Vol.48 No.2
This study was conducted to analyze the effects of genotypes, environments and interaction of G$\times$E on yields of sesame grown in seven different environments by AMMI analysis. Environments accounted for the largest (91 %) proportion of the sums of squares, followed by G$\times$E (8%) and genotypes (1%) Therefore, G$\times$E effects are theoretically eight times as important as G effects. G2 (Yanghukkae) has the largest IPCAI scores indicating higher G$\times$E interaction. G3 (Suwon 171) was near zero score of IPCAI suggesting higher stability than others in yield component. Most of environments except for Iksan area shows different G$\times$E effects by years, which means Iksan is optimal area for multi-environmental adaptation evaluation in sesame breeding programs. According to this experiment, it is concluded that maximization of grain yield through environments can be achieved by specific genotypes in specific environments.
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Effect of Sowing Dates on Flowering and Maturity of Sesame
Kang-Bo Shim,Churl-Whan Kang,Dong-Whi Kim,Yong-Am Chae 韓國作物學會 2006 Korean journal of crop science Vol.51 No.2
To identity the effect of sowing dates on flowering and maturity of sesame, some agronomic traits including days to flowering and days to maturity were investigated under five different sowing dates. Plant height, days to flowering, days to maturity, days from flowering to maturity and number of capsules per plant were showed significantly different by years, sowing dates and varieties. Interaction between sowing dates and varieties affected to days to flowering, days to maturity, days from flowering to maturity and number of capsules per plant. Plant height, days to flowering and days to maturity decreased significantly as sowing dates were delayed, but number of capsules and seed weight per plant showed highest at the sowing date of May 10. At the regression analysis of shortness degree of growth period by the response of days to flowering and days to maturity under different sowing dates, sesame varieties with earlier flowering habit were much less affected by day length rather than ones with later flowering habit. R2 and gradient value on the days to maturity regression graph were smaller indicating that maturity was much less sensitivity than flowering to the change of day length and temperature in the move of sowing dates. Therefore, it would be concluded that early maturity sesame varieties have higher potential adaptability to various sesame cropping systems in view of their less sensitivity to day length changes under different sowing dates.
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