Molecular Plant Breeding
Nasrin Akbari; Reza Darvishzadeh
Abstract
Knowledge on genes effect and action (additive/dominance) is one of the necessities to achieve cultivars with high performance and quality. Estimating the breeding value (additive effect) can be done thanks to molecular markers through best linear unbiased prediction (BLUP). In the present study, 100 ...
Read More
Knowledge on genes effect and action (additive/dominance) is one of the necessities to achieve cultivars with high performance and quality. Estimating the breeding value (additive effect) can be done thanks to molecular markers through best linear unbiased prediction (BLUP). In the present study, 100 oilseed sunflower genotypes were evaluated based on the 10×10 lattice design during two crop years of 1392-1393 under normal and drought stress (irrigation limitation) conditions. The breeding value of 13 traits in 78 genotypes out of 100 was estimated due to having genotyping data with SSR and Retrotransposon based markers in each one of normal and drought stress (irrigation limitation) conditions through BLUP. For this purpose, the kinship matrix was calculated by SSR and Retrotransposon based markers data. According to total ranks of breeding values of all studied traits estimated by molecular data of both markers, in normal conditions, genotypes 47, 11, 8 and 35 and under drought stress (irrigation limitation) conditions, genotypes 8, 11 and 35 showed the highest breeding value. Based on SSR markers data in normal conditions; genotypes 76, 36, 34 and 41 and based on Retrotransposon based markers data; genotypes 61, 78, 72 and 52, and in drought stress (irrigation limitation) conditions based on SSR markers data; genotypes 76, 38, 34, 29 and 70 and based on Retrotransposon based markers data; genotypes 16, 71, 78 and 61 showed the lowest breeding value. Considering both studied conditions and all studied traits and both molecular markers information, genotypes 8, 11 and 35 with high breeding value are introduced as desirable parents for breeding programs.
Molecular Plant Breeding
Hossein Zeinalzadeh Tabrizi; Kamil Haliloglu; Ahmad Razban Haqiqi3 Razban Haqiqi
Volume 5, Issue 12 , February 2016, , Pages 39-53
Abstract
In order to investigate genetic diversity of sunflower genotypes, TRAP markers were used with six fixed and arbitrary primers. Nineteen primer combinations generated a total of 116 bands in which 109 of them were polymorphic. Restorer inbred lines with a mean of 22.76 polymorphic bands had the highest ...
Read More
In order to investigate genetic diversity of sunflower genotypes, TRAP markers were used with six fixed and arbitrary primers. Nineteen primer combinations generated a total of 116 bands in which 109 of them were polymorphic. Restorer inbred lines with a mean of 22.76 polymorphic bands had the highest polymorphic loci (84.48 %), and Iranian hybrids with a mean of 2.97 polymorphic bands had the lowest polymorphic loci (40.52 %). Maximum and minimum genetic distances were between restorer lines and Iranian hybrids (0.151) and foreign hybrids and open pollinated cultivars (0.064), respectively. Maximum genetic similarity was between restorer and CMS lines (0.066). AMOVA analysis revealed that 87 % of total variance was within groups, and 13 % was between groups. Using UPGMA method of clustering and principal coordinate analysis, three distinctive groups were identified. Minimum similarity coefficient (0.472) was observed between R42 and CMS328 inbred lines. Results showed that TRAP marker was useful in genetic diversity estimation of sunflower genotypes. Higher similarity coefficient (0.755) for the studied genotypes indicated a narrow genetic base suggesting increasing genetic diversity of sunflower germplasm and selection of high diversity of new inbred lines in the future sunflower breeding programs.
