“고강”은 고품질･내병･다수성 지황 개발을 목표로 지황1호 실생 집단에서 우량 개체를 선발, 증식을 거친 후 2001～’02년 생산력 검정시험을 실시하였다. 그 결과 고품질이면서 병해에 강하고수량성이높아수원7호로계통명을부여한후, 2003～’05년까지 3년간 지역적응시험을 실시한 결과 우수성이 인정되어 2005년 12월 직무육성 품종 심의회를 거쳐 “고강”으로 명명하였는바 그 주요특성을 요약하면 다음과 같다. 1. 고강의 초형은 지면에서 약간 솟아오르는 형태를 나타내며, 생육중기 완전 전개된 잎중 가장 어린잎들의 색깔은 안토시아닌 색소를 거의 띠지 않아 대비품종과 구별된다. 2. 고강은 지황1호에 비하여 잎이 크고 많으며, 뿌리가 굵고 길다. 3. 고강은 병에 대한 저항성도 비교적 강하여 생산의 안정성이 높은 품종이다. 4. 고강은 2003～’05년까지 3년간 실시한 지역적응시험결과 수원 등 3지역에서 모두 증수되는 것으로 나타났고, 3지역의 10a당 평균 수량은 1,186kg로 지황1호 대비 13% 증수하였다. 5. 고강은 지황의 주요성분인 catalpol과 엑스함량이 지황1호에 비하여 많은 고품질 품종이다.

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.