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Öğe Association mapping of several nut characters in walnut (Juglans regia L.)(2020) Orman, Erdal; Ateş, Duygu; Özkuru, Esin; Hepaksoy, Serra; Kafkas, Salih; Tanyolaç, Muhammed BahattinIn the current study, significant variations were identified for seven fruit traits of the walnut accessions. the highest correlations were detected between nut height and nut width, and between nut weight and kernel weight. Most traits had a continuous normal binominal distribution. A total of 16,774 single-nucleotide polymorphism (SNP) markers based on diversity arrays technology were generated and after filtering the missing data, the remaining 13,611 SNP data were used for genotyping. STRUCTURE (v.2.2) analysis revealed two possible scenarios (K = 3 and K = 5) according to the results of ?K computation. While K = 3 indicated that walnut cultivars were clustered into three different groups, K = 5 revealed five different groups. Results of the dendrogram tree analysis were supported by the results presented in the STRUCTURE analysis. A total of 98 association signals were detected with FDR ? 0.05 from MLM (K) using BLUP predictors for the seven agronomic traits. Out of these 98 associations, seven SNPs were associated with nut weight, 26 SNPs with nut length, 15 SNPs with nut height, 18 SNPs with nut width, 18 SNPs with shell thickness, 12 SNPs with kernel weight, and 2 SNPs with kernel ratio.Öğe Association mapping of several nut characters in walnut (Juglans regia L.)(2020) Hepaksoy, Serra; Özkuru, Esin; Tanyolaç, Muhammed Bahattin; Ateş, Duygu; Orman, Erdal; Kafkas, SalihIn the current study, significant variations were identified for seven fruit traits of the walnut accessions. The highest correlationswere detected between nut height and nut width, and between nut weight and kernel weight. Most traits had a continuous normalbinominal distribution. A total of 16,774 single-nucleotide polymorphism (SNP) markers based on diversity arrays technology weregenerated and after filtering the missing data, the remaining 13,611 SNP data were used for genotyping. STRUCTURE (v.2.2) analysisrevealed two possible scenarios (K = 3 and K = 5) according to the results of ?K computation. While K = 3 indicated that walnutcultivars were clustered into three different groups, K = 5 revealed five different groups. Results of the dendrogram tree analysis weresupported by the results presented in the STRUCTURE analysis. A total of 98 association signals were detected with FDR ? 0.05 fromMLM (K) using BLUP predictors for the seven agronomic traits. Out of these 98 associations, seven SNPs were associated with nutweight, 26 SNPs with nut length, 15 SNPs with nut height, 18 SNPs with nut width, 18 SNPs with shell thickness, 12 SNPs with kernelweight, and 2 SNPs with kernel ratio.Öğe Genome Wide Association Studies (GWAS) metodu aracılığı ile kültür (Cicer arietinum L.) ve yabani nohut (C. reticulatum) populasyonlarında danede P, Cu, K, Mo, Se elementleri ile ilişkili DNA markörlerinin saptanması(Ege Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Özkuru, Esin; Tanyolaç, Muhammed Bahattinİlişki haritalama metodu, bağlantı dengesizliğine dayanan, kompleks kantitatif özellikler ile ilişkili genlerin belirlenmesinde kullanılan güçlü ve etkili bir metotdur. Bu çalışmada 107 yabani (C. reticulatum) ve 73 kültür (C. arietinum) olmak üzere 180 nohut genotipi kullanılarak genotyping by sequencing (GBS) analizleri gerçekleştirilmiş, analizler sonucunda 121.840 yüksek kalitede SNP markörü saptanmıştır. SNP markörleri kullanılarak STRUCTURE programı aracılığıyla populasyon yapısı analizleri gerçekleştirildiğinde populasyonun 2 (K=2) ana gruba ayrıldığı belirlenmiştir. Saptanan SNP markörleri ile nohut danesindeki P, Cu, K, Mo ve Se elementi konsantrasyonlarına ait fenotipik veriler ile TASSEL (Trait Analysis by Association, Evoluation and Linkage) programı aracılığıyla MLM(Q+K) analizleri gerçekleştirilerek 5 fenotipik özellik ile istatistiksel olarak yüksek ilişkili 26 SNP tanımlanmıştır. Bu çalışma P, Cu, K, Mo ve Se elementlerinde yabani ve kültür nohut çeşitleri kullanılarak gerçekleştirilmiş ilk ilişki haritalama çalışmasıdır ve gelecekteki ilişki haritalama, marker destekli seleksiyon ve ıslah çalışmalarına yardımcı olacaktır.