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Öğe Comparison of colorimetric methods for determination of phytic acid content in raw and oil extracted flour samples of maize(Academic Press Inc Elsevier Science, 2020) Kahrıman, Fatih; Songur, Umut; Serment, Mehmet; Akbulut, Sule; Egesel, Cem OmerThere are different colorimetric methods, with various analysis principles and phases, for the estimation of phytic acid content in agricultural products. Maize genotypes may possess a wide range of oil content, which is considered as a factor affecting the results of phytic acid analyses. Elaborative studies are needed to examine these methods to clarify the effect of oil content on the results, especially in the sample sets with varying oil concentrations. We utilized 4 different colorimetric methods; namely, AOAC, Wade, Chen and Haug-Lantzsch (H-L), to estimate phytic acid content in 19 maize genotypes, classified as having high ( > 7 %, n = 7) normal (3-5 %, n = 6) and low ( < 3 %, n = 6) oil content. Phytic acid determination was carried out on 2 groups of flour samples (raw: El, and oil extracted: E2) using 3 replications. The results indicated that analysis methods yielded rather different phytic acid values. They also differed significantly in time and cost, with the Chen method being the cheapest and Haug-Lantzsch (H-L) the quickest. Oil extraction had significant effects on phytic acid results, and these effects varied across the analysis methods and the oil content of the genotypes. Our data suggest that either novel or improved colorimetric methods are necessary when analyzing phytic acid in special maize genotypes, considering the dissimilarity of the results from the current methods.Öğe POLLEN EFFECT (XENIA) FOR EVALUATING BREEDING MATERIALS IN MAIZE(Serbian Genetics Soc, 2017) Kahrıman, Fatih; Serment, Mehmet; Haslak, Mizgin; Kang, Manjit S.Pollen effect (xenia) plays an important role in modifying biochemical constituents of maize (Zea mays L.) kernels. The objectives of this study were to i) evaluate the effect of filial generations on certain genetic estimations; ii) compare general (GCA) and specific combining ability (SCA) effects obtained from Griffing's diallel analyses between parental (F-0) and F-1 generations; iii) determine the relationships between pollen effect and genetic estimations; and iv) examine the possible utility of pollen effect for improving kernel-quality traits (protein and oil contents). We conducted two experiments (F-0 in 2011 and F-1 in 2013) and examined kernel protein and oil contents. Individual pollen effects (IPE) and specific individual pollen effects (SIPE) were computed. The results showed that entries (E) and filial generations (G) and E x G interaction variances were significant for both protein and oil contents, whereas changes in genetic estimates between generations were highly variable. The signs and magnitudes of GCA effects were similar and highly correlated (r > 0.80) between F0 and F1 generations for all four diallel methods. In addition, GCA effects were highly correlated with IPE estimates for all four diallel methods. Specific combining ability (SCA) estimates between F0 and F1 generations were moderately correlated (r = 0.50) in Method IV for oil and highly negatively correlated (r = -1.00) in Method III for protein content. Heterosis analyses showed that hybrids could not be evaluated on the basis of the F0 generation to predict their F1 performances. Individual pollen effects between generations showed higher correlation for protein content (r = 1.00) than for oil content (r = 0.40). Specific individual pollen effects of parents were also slightly higher for protein content (r = 0.74) than for oil content (r = 0.62). We concluded that the direct or indirect utilization of pollen effect (xenia) was possible for parental evaluation but not suitable for hybrid evaluation for kernel oil and protein contents.Öğe Screening Turkish maize landraces for kernel oil content and oil quality traits(Cambridge Univ Press, 2020) Kahrıman, Fatih; Aktas, Fatma; Songur, Umut; Serment, Mehmet; Egesel, Cem OmerIn this study, maize landraces, previously collected from different regions of Turkey through a national maize breeding project, were screened for kernel oil content and oil quality. After a seed reproduction in 2017, the screening trial was conducted in 2018, using an Augmented Experimental Design with 192 local maize populations along with seven check hybrids. Data were collected on oil, oleic acid, linoleic acid, monounsaturated (MUFA), polyunsaturated and saturated fatty acids, total carotenoid and total tocopherol contents. The results showed that there was a considerable amount of genetic variation among the Turkish maize landraces for almost all the traits investigated in this study. Some of the evaluated landraces are available that could be considered as high oil variety or special genotypes in terms of certain oil quality traits. Landraces had significantly higher values than checks for oil content, oleic acid, MUFA and tocopherol contents. Genetic analyses suggest that the kernel quality traits could be successfully manipulated using the investigated plant material. Heritability values were found high for all the traits of interest, except for saturated fatty acid and total carotenoid content. The promising landraces detected in this study could be exploited in future breeding programmes upon further evaluations at the population level.