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黄麻SSR标记与纤维产量性状的相关性
基金项目:National Natural Science Foundation of China(31771369);China Agriculture Research System(CARS-19-E06)
摘    要:

收稿时间:2020-02-16

Correlation between SSR markers and fiber yield related traits in jute (Corchorus spp.)
Authors:Li-Lan ZHANG  Lie-Mei ZHANG  Huan-Ying NIU  Yi XU  Yu LI  Jian-Min QI  Ai-Fen TAO  Ping-Ping FANG  Li-Wu ZHANG
Abstract:Simple sequence repeat (SSR) markers correlated to fiber yield traits would be a beneficial tool for molecular marker-assisted breeding in jute. In this study, 397 SSR markers were screened from 311 jute germplasms by the phenotype identification from 2016 to 2018 and 116 pairs of primers. The correlation analysis between SSR markers and fiber yield related traits by SPSS revealed that the range of the coefficient of variation related to 9 fiber traits was from 13.05% to 76.78%, indicating a comprehensive genetic variation. The correlation analysis of the agronomic traits showed that there were significantly correlations among these traits. The average correlation coefficient between branch height and nodes of main stem was the highest (r = 0.931), followed by the correlation coefficients (r = 0.781) of fresh bark weight per plant and fresh stem weight per plant and the coefficients (r = 0.779) of dry bark weight and fresh bark weight per plant. Analysis of variance (ANOVA) showed that the traits of main stem nodes, number of branches, plant height and branch height were relatively stable in different years with the higher broad heritability capacity. Furthermore, the SSR markers associated with fiber yield related traits were identified by Pearson correlation method. Stepwise regression analysis among each trait associated SSR markers indicated that there were six markers associated significantly with fiber yield related traits, and phenotypic variation explained by each SSR marker varied from 3.9% to 22.5%. These results will accelerate the development of molecular design breeding in jute.
Keywords:jute  fiber yield  agronomic traits  SSR  correlation  regression analysis  
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