‘천상’은 대립 다수성 콩 신품종육성을 목표로, ‘수원190호’를 모본으로 ‘황금콩’을 부본으로 1998년에 인공교배하여, 1999-2000년도에 F1, F2 세대를 양성하고, F3부터 계통 전개하여 선발한 SS98206-41-1-3-1-1 계통으로 계통명은 ‘밀양176호’이다. 주요 특성은 유한신육형으로 화색은 백색이고, 엽형은 피침형이며, 모용색은 회색이다. 종자모양은 구형이고, 종피색과 제색은 황색이다. 개화기는 7월 26일로 ‘태광콩’보다 빠르고 성숙기는 3일 늦어 등숙기간이 7일이 더 길다. 경장은 76 cm로서 ‘태광콩’과 비슷하고 도복에 강하며, 100립중은 24.8 g으로 ‘태광콩’에 비하여 2.0 g 정도 무거운 대립이다. 불마름병에 저항성이며 콩모자이크바이러스와 내한발성은 강하였으나, 내습성과 뿌리썩음병에는 약하였으며, 탈립이 되지 않았다. 조단백질 및 조지방 함량은 ‘태광콩’보다 높았으며, 불포화지방산 비율은 ‘태광콩’과 비슷하였고 함황아미노산과 총 아미노산의 함량이 높았다. 두부수율은 낮으나 두부의 물성이 높았으며, 메주 가공적성은 ‘태광콩’과 비슷하였다. 수량성은 생산력검정시험 결과, 10% 증수되었으며, 지역적응시험에서는, 전국 10개소 평균 ha당 2.34톤으로서 대비품종인 ‘태광콩’ 대비 100%이었다.

Soybean isoflavones include daidzein, genistein and glycitein with their glycosides, and their malonated derivatives are the main polyphenolic compounds that are helpful for human health. Our research objective was to investigate the differentitation of soybean isoflavones contents of breeding populations between high and low isoflavones contained soybean. Isoflavones contents in soybean are a wide range from 500 to 7000 ㎍/g. In this study, we used Ilmi (Isoflavones content, 3.108 ㎍/g) as male parent and Dajin (Isoflavones content, 578 ㎍/g) as female parent. From these varieties, we got 165 breeding lines which have isoflavones content range from 472 to 2973 ㎍/g. Isflavone contents in breeding lines showed normal distribution.

　A new sprout-soybean cultivar, “oseo”was developed at the Honam Agricultural Research Institute (HARI) in 2007. Hoseo was selected from a cross between Camp and Nattosan. The preliminary, advanced, and regional yield trials to evaluate the performance of Iksan 57 were carried out from 2003 to 2007. This cultivar has a determinate growth habit with purple flower, grayish brown pubescence, yellow seed coat, grayish brown hilum, rhomboid leaflet shape and small seed size (7.4 g/100 seeds). The maturity date of “oseo”is 12 days earlier than the check variety, “ungsan” It has good seed quality for soybean-sprout and resistance to lodging. This cultivar has resistance to soybean mosaic virus (SMV) and necrotic symptom (SMV-N). The average yield of “oseo”was 2.51 ton per hectare in the regional yield trials (RYT) for double cropping carried out for three years from 2005 to 2007.

　A new kidney bean cultivar, “wanghyeob 2”was developed for edible pod kidney bean adaptable to Korean cultivation at the National Institute of Crop Science in 2005. “wanghyeob 2”was selected from a cross between KLG50073 and KLG50072. It has determinate growth habit, white flower, yellow pod color, oval shape of crossed section of pod at the harvesting time for edible pod. It has white seed coat and middle seed size (20.4 grams per 100 seeds). The average yield of edible pod of “wanghyeob 2”was 22.43 M/T per hectare in the yield trials which was carried out at the green house in spring and autumn in 2005. This yield level was 11 percent higher than that of the check cultivar “angnangkong 1”

A new kidney bean cultivar, “wanghyeob 1”was developed at the National Institute of Crop Science in 2005. “wanghyeob 1”was selected from a cross between KLG50064 and KLG50073. It has determinate growth habit, white flower, yellow pod color, oval shape of crossed section of pod at the harvesting time for edible pod, white seed coat and middle seed size (21.7 grams per 100 seeds). The average yield of edible pod of “wanghyeob 1”was 23.55 M/T per hectare in the yield trials which was carried out at the green house in spring and autumn in 2005. This yield level was 4 percent higher than that of the check cultivar “angnangkong 1”

NIR spectroscopy combined with multivariate analysis after the appropriate spectral data pre-treatment has been proved to be a very powerful tool for judgment of the relative pattern of the objects that have very similar properties. In this study, 500 GMO soybean seeds and, 500 non-GMO ones were measured in NIR reflectance mode. Principal component analysis (PCA), and discriminant analysis (DA) were applied to classify soybean with different genes into two groups (GMO and non-GMO). Calibrations were developed using DA regression with the cross-validation technique. The results show that differences between GMO and non-GMO soybeans do exist and excellent classification can be obtained after optimizing spectral pre-treatment. The raw spectra with DA model after the second derivative pre-treatment had the best satisfactory calibration and prediction abilities, with 97% accuracy. The results in the present study show NIR spectroscopy together with chemometrics techniques could be used to differentiate GMO soybean, which offers the benefit of avoiding time-consuming, costly and laborious chemical and sensory analysis.

Black soybeans, which have been widely utilized as food and as material for Oriental medicine, contain anthocyanins in the seed coat. Soybean seeds with black seed coat and green cotyledon are called “Seoritae” in Korea. Korean customer prefer “Seoritae” to normal black soybean with yellow cotyledon. The pigments contained in green cotyledon of black soybeans were chlorophylls and lutein. These constituents function as antioxidant and protect humans against diverse damages. The purpose of this study was to investigate the most suitable extraction condition and method of green cotyledon pigments in black soybeans. The green cotyledon pigments were analyzed on RP-HPLC with C18 column using gradient system. The gradient system was used two mobile phases. A gradient elution was performed with mobile phase A, consisting of 100% MeOH, and mobile phase B, consisting of 100% EtOAc. Among the 4 kinds of extraction method using methanol and/or acetone solution, ultrasonic extraction at 30 min. using acetone solution was most suitable extraction condition for simultaneous analysis of chlorophylls and lutein in soybean with green cotyledon.

This experiment was carried out to clear optimum planting time for yield enlargement by comparing yield with dry matter at Miryang from 2005 to 2006. Variety used were Daewon, Daepung, Daol and Cheongja 3. Seeding was performed on April 30 to June 30 with 20day intervals and planting density was 142,857 palnts/ha (70×20㎝, 2plants per hill) with black vinyl mulching. In R2～R4 stages, crop growth rate(CGR) was largest on June 10 seeding. Although net assimilation rate(NAR) increased as seeding date was delayed, NAR on June 10 seeding was the highest throughout the growth period. Positive relationships were observed between NAR from R2 to R4 the ratio of pod to total dry matter weight. The LAI and total dry matter weight at the R4 stage was higher at earlier seeding date. In the case when seeding date was delayed, the ratio of leaf(source) and pod(sink) increased. From the comparison of all factors such as dry weight, optimum LAI, and of source to sink, the optimum planting date for high seed production was June 10. The highest yield was recorded with on June 10 seeding. Also, this seeding date showed high ratio of seed yield to dry matter in R2 stage. Difference between surveyed pod no. and theological pod no. which was calculated by dry matter ratio compared with standard seeding date(June 10) at R2 stage was the smallest in June 10 seeding.

This study was conducted to establish a rapid analysis method for determining protein and moisture contents of pea. Ninety and eighty pea (Pisum sativum L.) lines were analyzed to determine protein and moisture contents, respectively using near-infrared reflectance spectroscopy. Simple correlations (~gamma ) of protein content in a ground sample and an intact grain sample by an automatic regression method were 0.978 and 0.910, respectively. Simple correlations by partial least square regression/principal component analysis (PLS/PCA) methods were 0.982 and 0.925, respectively. Standard error of performance (SEP) in protein content was the lowest value, 0.446 in ground sample by PLS/PCA methods. Simple correlation of moisture content was the highest at 0.871 in ground samples. when using a standard regression method. Accuracy for the moisture content was slightly lower than for protein content. It was concluded that the NIRS method would be applicable only for rapid determination of protein content in pea.