Yazar "Nadeem, Muhammad Azhar" seçeneğine göre listele

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    Elucidating the genetic diversity and population structure of international cotton germplasm using inter-primer binding site (iPBS) retrotransposon marker system
    (Springer, 2024) Yesil Bayril, Binnur; Bakhsh, Allah; Nadeem, Muhammad Azhar; Demirel, Ufuk
    Cotton (Gossypium hirsutum L.) is an important crop throughout the world and is one of the most important industrial raw materials. It is very important to characterize the available cotton germplasm aiming to identify novel genetic and genomic resources that can be used for future cotton breeding. Keeping this in view, a total of 179 cotton genotypes were characterized with the inter-primer binding site (iPBS) retrotransposon marker system. Seven iPBSretrotransposon primers yielded a total of 134 scoreable bands and among these, 128 bands were polymorphic. The mean polymorphic bands per primer were 18.28, with values ranging between 16 and 21. The mean polymorphism rate of 7 iPBS retrotransposon primers was calculated as 96.28%. The polymorphism information content value varied between 0.31 and 0.46 with an average of 0.395. Genetic similarity was calculated using the POPGENE software and values ranged between 0.320 and 0.955. Population structure and neighbor-joining analysis divided the evaluated germplasm into two populations. The analysis of molecular variance revealed that maximum variations (96%) are due to differences within the populations. The information presented here has comprehensively demonstrated the potential of iPBSretrotransposon markers in detecting genetic diversity and phylogenetic association analyses of cotton. This knowledge will be helpful for future cotton breeding.
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    Genome-wide association studies (GWAS) revealed a genetic basis associated with floral traits in potato germplasm
    (Tubitak Scientific & Technological Research Council Turkey, 2022) Zia, Muhammad Abu Bakar; Demirel, Ufuk; Nadeem, Muhammad Azhar; Ali, Fawad; Dawood, Ahmad; Ijaz, Muhammad; Caliskan, Mehmet Emin
    Potato is an important noncereal staple crop serving as a source of food for a large number of the world's population. Genomewide association study (GWAS) analysis has become a useful tool to uncover the genetic basis of important plant traits by revealing significant association with the trait of interest. The present study aimed to explore the phenotypic diversity and to identify the genetic basis associated with important floral traits. A total of 237 tetraploid potato genotypes were used as plant material, and field experiments were conducted according to augmented block design for two consecutive years (2016, 2017). Analysis of variance for the studied floral traits reflected highly significant genotypic effects. Mean data for both years revealed the significant variation for pistil length (5.53 to 9.92 mm), stamen length (6.04 to 9.26 mm), and pistil length above stamen (1.31 to 4.47 mm). Pearson's correlation analysis reflected a highly significant and positive correlation of pistil length with stamen length (r = 0.42) and pistil length above stamen (r = 0.28). Principal component analysis was performed, and the first two PCs were considered accounting for a total of 81.2% variation. Constellation plot divided the studied potato panel into two main populations on the basis of stamen and pistil length. A total of 12,720SNP markers were used for the marker-trait association, and a total of 15 markers were found significantly associated with studied traits across both years. Identifying the same markers across both years helped in the validation of the obtained marker-trait associations. The identified significant markers reflected some of the putative candidate genes that might be beneficial in potato breeding programs. To the best of our knowledge, this is the first study identifying the genetic basis of important floral traits and might be helpful to the scientific community interested in potato marker-assisted breeding in these traits.
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    Genome-wide association study identifies various loci underlying agronomic and morphological traits in diversified potato panel
    (Springer, 2020) Zia, Muhammad Abu Bakar; Demirel, Ufuk; Nadeem, Muhammad Azhar; Caliskan, Mehmet Emin
    Potato is one of the most important food crops all over the world. Breeding activities for this crop are mainly aimed to improve the quality and yield of tuber. However, genetic architecture of various traits contributing to the quality and yield of potato are not yet completely understood. Genome wide association studies provides a broader way to identify the genomic regions associated with various traits. Panels of 237 tetraploid potato genotypes from different countries were grown for two consecutive years 2016 and 2017 at experimental research area of Potato research center Nigde, Turkey. A genome wide association study using SolCAP 12K array was performed for various morpho-agronomic traits. Structure algorithm and neighborhood joining analysis clearly divided all genotypes into 4 clusters on the basis of their origin. For the marker trait association, Mixed Linear Model in TASSEL was performed and 36 genomic regions were found for the traits under study. The mean r(2) value was found to be 0.92 and mean significant LD was 47.5% in the populations. LD patterns reflected the breeding history of potato. The findings of present study provide a framework which could be useful for future potato breeding programs to enhance the production and to reduce the challenges in the coming years to feed world's population.