Association analysis for agronomic traits with SSR markers in sunflower (Helianthus annuus L.) genotypes under optimum and phosphorus deficiency conditions

Document Type : Research Paper

Authors

1 M.Sc. in Plant Breeding, Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran.

2 Professor, Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran.

3 Professor, Department of Soil Science, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran.

4 Assistant Professor, Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University, Urmia, Iran.

Abstract

In order to breeding phosphorus-efficient genotypes, 100 sunflower genotypes coming from different parts of the glob were evaluated based on agro-morphological traits under optimal and phosphorus deficient (7.2 mg/kg) conditions in a completely randomized design with three replications in potted conditions in Faculty of Agriculture and Natural Resources, Urmia University in 2017 cropping season. In molecular experiments, the molecular profile of genotypes was prepared with 30 pairs microsatellite (SSR) primers. The results showed that the mean of most studied traits such as stem diameter, leaf wide, leaf surface, chlorophyll rate and 1000 grain weight was reduced significantly in phosphorus deficient conditions compared to optimal ones, which shows that phosphorus deficiency has a negative effect on the studied traits. The polymorphic information content (PIC) in the studied genotypes ranged from 0.055 for ORS718 primer to 0.687 for HA3040 primer. In population structure analysis, based on 30 SSR loci, potentially 2 sub-populations (K=2) were identified in the association panel. About 1.15% of possible SSR locus pairs showed significant level of linkage disequilibrium (P

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References

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