Sampling for Core Collection with Genetic Diversity

• 발행기관: 한국자료분석학회
• 저자명: Seo Young Kim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.6 No.6, 1469~1477쪽, 전체 9쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2004.12.30

영문 초록

This study was conducted to select sesame germplasm core collection with genetic diversity of landraces. A sesame core collection containing 475 accessions was established by assessing genetic diversity of 2,246 accessions of landraces collected in Korea. The accessions in the whole collection were grouped based on their varietal and 10 agro-climatic zones. Based on the dendrogram of the clusters, the random sampling combined with stepwise clustering was used to construct core collections. The coincidence rate for range and the variability rate for the coefficient of variation are designed to evaluate the property of core collections. By the criteria the final selected core collections retained genetic diversity and had representatives of whole collection.

목차

1. Introduction

2. Methods

3. Real data analysis

4. Discussion

5. Conclusion

References

키워드

Core collection Stepwise clustering Sesame germplasm and Missing value imputation