AU - زینب روئین, AU - معظم حسن‌پور اصیل, AU - عاطفه صبوری, TI - Association analysis of biochemical traits with AFLP markers in Chrysanthemum genotypes (Chrysanthemum morifolium) PT - JOURNAL ARTICLE TA - MGJ JN - MGJ VO - 11 VI - 3 IP - 3 4099 - http://mg.genetics.ir/article-1-1436-en.html 4100 - http://mg.genetics.ir/article-1-1436-en.pdf SO - MGJ 3 AB  - Physiological activity and biochemical changes continues in postharvest of cut flowers. These conditions reduce the longevity of flowers and accelerate the senescence process. In order to identify informative AFLP markers for description of senescence in Chrysanthemum, association analysis was used. The relationships between biochemical traits and molecular markers based on 25 primer combinations (EcoRI and MseI) and genetic structure of 44 chrysanthemum genotypes were evaluated. The results of correlation coefficient indicated a positive and significant correlation between protein concentration and lipid peroxidation (r=0.304**) as indicators of senescence. Results of MLM association analysis model for 5 variable showed that 143 AFLP markers were found to be associated with biochemical traits in Chrysanthemum, whereas GLM model identified 419 markers for biochemical traits. Moreover, we were able to identify 49 markers associated with malondialdehyde. However, only 14 AFLP markers associated with petal senescence. The strongest association was detected between AFLP markers of M-CAC/E-AGA13, with superoxide dismutase enzyme which explained 47 percent of variation. The most variation of petal senescence (32%) was accounted by M-CTT/E-AAC35 marker. Also, our results showed that some of the markers were co-associated with different chemical traits. Moreover, informative markers such as M-CTG/E-ACC16, M-CAA/E-AAG40 and M-CTG/E-AGA3 that have been shown to significant correlation with several traits can used for breeding programs and other analyses associated with future studies of Chrysanthemum if they contribute to increase longevity in other experiments. CP - IRAN IN - LG - eng PB - MGJ PG - 377 PT - YR - 2016