Identification of ISSR markers related to quantitative traits of Crocus Sativus L. ecotypes
Volume 8, Issue 4, Autumn 2020, Pages 598-608
https://doi.org/10.22048/jsat.2020.189000.1354
Seid Mohammad Alavi-Siney, Jalal Saba, Seyyed Siamak Alavikia, Mohammad Reza Azimi
Abstract In order to investigate the relationship between quantitative traits and ISSR markers, an experiments were carried out under farm and laboratory conditions at Zanjan University. In this experiment, 20 primers of ISSR marker were used and the agronomic traits (including flower number, fresh weight of Stigma, fresh weight of flower, dry weight of Stigma, dry weight of flower, stigma length, saffron yield, corm number, feresh and dry weight of corm, number of leaf, leaf length, leaf width, leaf area, leaf dry weight, biomass, harvest index), physiological traits (transpiration rate, stomatal conductance, photosynthesis) and secondary metabolites (picocrocin, Safranal and Crocin) were measured during the growing season. Three primers of total did not amplified. 17 ISSR primers amplified 133 loci among 20 saffron ecotypes, with an average of 7.82 loci per primer. The highest number of alleles were for the I-8 primer (15 alleles).
Determination of Effective Agronomical Traits on Saffron Ecotypes Stigma Yield in Zanjan Conditions
Volume 3, Issue 2, Summer 2015, Pages 97-106
https://doi.org/10.22048/jsat.2015.10382
Seid Mohammad Alavi Siney, Jalal Saba, Babak Andalibi, Seyyed Siamak Alavikia, Mohammad Reza Azimi
Abstract In order to investigate the effective traits on yield of saffron ecotypes, a study was carried out as a split plot in time based on randomized complete block design with three replications in the research farm of Zanjan University during the growing seasons of 2013-2015. Eighteen saffron ecotypes were studied in this experiment. The traits of number of flowers, fresh weight of flowers, fresh weight of stigma, dry weight of flowers, dry weight of stigma, stigma length and dry stigma yield of saffron were measured. The results indicated that there were significant differences among all studied traits of ecotypes except for stigma length. The correlation matrix revealed that the number of flower and dry weight of stigma had a positive and highly significant correlation with dry stigma yield (r= 0.99 and 0.70, respectively). Analysis of stepwise regression and path analysis showed that the traits of number of flowers, dry weight of stigma and dry weight of flowers were the most effective traits on dry stigma yield. Therefore, these traits can be used to achieve a higher stigma yield.