A total of 192 Korean landraces were investigated for the comparison of each other as useful germplasm to organic farming and examined correlation between quantitative traits. Almost Korean landraces were classified into medium-heading variety and average days from seeding to heading was 111.1 days. Plant height and culm length were longer about 20~40㎝ than general Japonica cultivar. Average width of leaf blade and average length of panicle were 1.3㎝ and 22.4㎝, respectively. Average number of panicles per plant was 10.0 and almost varieties showed low tilling habit. Average length/width ratio of brown rice was 1.7 and several varieties were long grain type and average 1,000 grain weight was 21.6g. In correlation coefficient among quantitative traits, positive significant correlations were observed between culm length and leaf width, days from seeding to heading, but negative correlations were observed between days from seeding to heading and 1000 grain weight. 27.1% of Korean landraces showed weak and lodging degree in culm strength and 3.6% of total varieties showed purple margin on leaf blade and leaf sheath. In leaf blade angle and flag leaf angle, erect type was 46.9% and 10.9%, respectively. 24.0% of total varieties showed the slow and late degree of leaf senescence. The rate of awned type, waxy type and brown seed coat were 74.5%, 20.3% and 4.2%, respectively. The color of stigma, spikelet, apiculus and awn showed diverse color such as white, brown, red and purple.

각 게놈형간의 근연관계 및 배수체종의 게놈분석에 관한 새로운 접근을 시도하고자, Aegilops 19종 및 재배밀(T. aestivum)을 공시하여 AFLP 분석을 실시하여 얻은 결과는 다음과 같다. 1. AFLPs를 이용한 Aegilops종들간 근연관계를 분석한 결과, 7개의 primer 조합에서 총 207개의 다형 band를 조사하였으며 조합당 평균 다형 band수는 29.8개 이었다. 2. 각 게놈간 유연관계로 보아 Ae. heldreichii (Mh ) 는 Ae. comosa (M)와 Ae. uniaristate(N)의 중간위치의 게놈으로 나타났고, UM게놈을 가진 4배체종의 M게놈 공여종으로 판단되었다. 그리고 Ae. squarrosa는 재배밀의 D게놈 공여종임을 확인하였다. 3. 6배체성 Ae. triaristate(UMN)는 4배체성 Ae. triaristate(UM)보다는 Ae. columnaris(UM)와 더 근연인 것으로 나타났다. 그리고 Ae. ventricosa(DN)은 U게놈이 N게놈보다 더 근연인 것으로 나타났다. 4. AFLPs에 의한 군집형성은 5개의 군집으로 구분되었고 이는 기본적으로 Gihara의 Section군과 일치하였고, 다양성분석, 게놈분석 등에 보다 효율적인 것으로 평가되었다.