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 Niğde, 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 r² 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.

中文翻译：

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全基因组关联研究确定了多样化马铃薯群体中潜在的农艺和形态性状的各个基因座。

马铃薯是全世界最重要的粮食作物之一。该作物的育种活动主要旨在提高块茎的质量和产量。但是，尚未完全了解对马铃薯的品质和产量有贡献的各种性状的遗传结构。全基因组关联研究提供了更广泛的方法来鉴定与各种性状相关的基因组区域。来自不同国家的237种四倍体马铃薯基因型的面板在土耳其马铃薯研究中心Niğde的实验研究区连续两年（2016年和2017年）种植。使用SolCAP 12K阵列对各种形态农艺性状进行了全基因组关联研究。结构算法和邻域连接分析根据其起源将所有基因型清楚地分为4个簇。对于标记性状的关联，在TASSEL中进行了混合线性模型，发现了36​​个基因组区域。均值在人群中发现^2的值为0.92，平均显着性LD为47.5％。LD模式反映了马铃薯的育种历史。本研究的结果为将来的马铃薯育种计划提供了一个有用的框架，以提高产量并减少未来几年养活世界人口的挑战。