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들깨 잎 이용성 평가를 위한 유전자원 형질의 다변량 통계분석 적용

Applying Multivariate Statistical Analysis for Agronomic Characteristics to Evaluate Leaf Availability in Perilla Germplasms

이정은|김민영|오은영|조광수|김상우|김정인|이은수|성정숙|이명희|유은애|김성업|김춘송
한국약용작물학회|2023.08|한국약용작물학회지 (KOREAN JOURNAL OF MEDICINAL CROP SCIENCE)|제31권 제4호|pp. 222-234

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참고문헌

키워드

Cluster AnalysisMultivariate AnalysisPerilla frutescens (L.) BrittGermplasm

초록

Background: This study was performed to analyze the agronomic characteristics of 300 perilla germplasms to develop a perilla cultivar for leaves using principal component (PC) and cluster analyses. Methods and Results: In total, 300 perilla germplasms were analyzed in this study. The morpho- logical diversity and relationships among 300 perilla germplasms were assessed using principal component and cluster analyses. The perilla cultivar for leaf use requires resources with a flower- ing date later than 105 days and a short node length; we selected 74 resources with a flowering date later than 105 days and a length of less than l00 ㎝. The coefficients of variation of the perilla ger- mplasms were the highest for the days to flowering and days to maturation, whereas they were the lowest for the stem and flower colors. PC analysis revealed the eigenvalues and contributions respective to each PC as follows: PC1, 4.592 and 41.75%; PC2, 1.774 and 16.13%; and PC3, 1.280 and 11.64%. According to cluster analysis, the genetic resources were divided into four groups, comprising 118, 110, 69, and 3 resources, respectively. Conclusions: Clusters I and Ⅱ were found the most suitable for breeding materials, considering flowering days, initial shape, and leaf size, which are relevant traits for developing leaf-only varieties.

Abstract

Background: This study was performed to analyze the agronomic characteristics of 300 perilla germplasms to develop a perilla cultivar for leaves using principal component (PC) and cluster analyses. Methods and Results: In total, 300 perilla germplasms were analyzed in this study. The morpho- logical diversity and relationships among 300 perilla germplasms were assessed using principal component and cluster analyses. The perilla cultivar for leaf use requires resources with a flower- ing date later than 105 days and a short node length; we selected 74 resources with a flowering date later than 105 days and a length of less than l00 ㎝. The coefficients of variation of the perilla ger- mplasms were the highest for the days to flowering and days to maturation, whereas they were the lowest for the stem and flower colors. PC analysis revealed the eigenvalues and contributions respective to each PC as follows: PC1, 4.592 and 41.75%; PC2, 1.774 and 16.13%; and PC3, 1.280 and 11.64%. According to cluster analysis, the genetic resources were divided into four groups, comprising 118, 110, 69, and 3 resources, respectively. Conclusions: Clusters I and Ⅱ were found the most suitable for breeding materials, considering flowering days, initial shape, and leaf size, which are relevant traits for developing leaf-only varieties.

참고문헌 (37)

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