Browsing by Author "Akinci, Cuma"

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Evaluation of Yield and Yield Components of Some Turkish Maize Landraces Grown in South Eastern Anatolia, Turkey by Biplot Analysis
(Life Sciences Soc Pakistan, 2019) Kizilgeci, Ferhat; Kızılgeçi, Ferhat; Albayrak, Onder; Yildirim, Mehmet; Akinci, Cuma; Bicer, Behiye Tuba
Maize has comparatively high genetic diversity. Thus, we evaluated yield and yield traits on 92 maize landraces collected from Black Sea and Marmara Regions of Turkey and investigated three maize hybrids for yield and some morphological traits under Diyarbakir conditions in 2016 growing season. Mean value of plant height varied between 131-270 cm among maize landraces, 62.33-177cm for first ear height, 13.07-24.70 mm for stalk thickness, 9.04-22 cm for ear length, 10.70-44.16 mm for ear diameter, 7.33-16.80 for row number of ear(-1), 10-44.60 for the number of kernels in row(-1), 16.43-27.46 mm for rachis diameter and 1387-18226.7 kg ha(-1) for grain yield. According to our finding of the hybrid and the local maize genotypes, the grain yield, the number of grains in the cob and the weight of the cob, plant height, and number of rows were collected in the single group in the biplot chart. DZM-194-2 and DZM-11 local maize genotypes were found more stable for all investigated traits. DZM-7, DZM-194-2, DZM-11 and DZM-222-4 genotypes shown superiority to other genotypes in terms of grain yield.
EVALUATION OF YIELD TRAITS, QUALITY PARAMETERS AND SEED YIELD STABILITY FOR LENTIL GENOTYPES UNDER DIFFERENT LOCATIONS IN TURKEY
(PARLAR SCIENTIFIC PUBLICATIONS (P S P), 2019) Kızılgeçi, Ferhat; Bicer, Behiye Tuba; Yildirim, Mehmet; Akinci, Cuma; Albayrak, Onder; Bayman, Serkan
Lentil is conventionally grown as a rain fed crop, mostly in the Middle East; it's a rich source of protein for human feeding. Yield, seed quality, adaptability and chalky spot syndrome of fifteen lentil genotypes and five lentil cultivars were evaluated in the South-Eastern Anatolia of Turkey. Yield and yield trails as well as seed quality such as protein content, seed rate with chalky spotted and germination rate for of all genotypes were varied significantly. Seed yield were varied from 1337 to 2142 kg/ha among the genotypes. While cultivar 'Sakar' produced the maximum yield and cultivar 'BM 848' produced the minimum seed yield. It was also revealed that genotypes 'ILL10975', 'FLIP2010-94L' and cultivar 'Sakar' was found the most sensitive to cold. Lentil crops with chalky spotted were detected in Adiyaman location and its rate ranged from 42% to 13%. Genotype x environment interaction was significant for seed yield and different stability parameters were computed for genotype adaptability. Ecovalance (W(2)i) and stability variance (sigma(2)i) were low value in genotypes ILL 3375 and Kafkas, but Firat 87 had high values.
Genotype and Environment Effects on the Grain Yield and Quality Traits of Some in Barley Genotypes
(KAHRAMANMARAS SUTCU IMAM UNIV REKTORLUGU, 2019) Kızılgeçi, Ferhat; Yildirim, Mehmet; Akinci, Cuma; Albayrak, Onder
The purpose of this study was to determine genotype and environment effects on the grain yield and its component of some barley genotypes in Diyarbakir and Mardin conditions in 2011-2012. In the study, 2 commercial varieties and 5 advanced lines were used as a material. Grain yield, thousand grain weight, test weight, protein content, starch content and SPAD value were measured. Results varied between 413.60-661.63 kg da(-1) for grain yield, 42.21-45.02 g for thousand grain weight, 58.92-66.39 kg hl(-1) for test weight, 11.70-14.24 % for grain protein content, 59.8-61.2 % for grain starch content and 44.4-48.6 unit for SPAD value. Altikat sustained the highest grain yield in both locations. DZA-7, DZA-8 and Dicle 1 advanced lines showed high performance in terms of protein contents, starch content and test weight. When all traits were evaluated using the Biplot analysis, grain yield, thousand grain weight and SPAD were involved in the same group, while protein content, starch content, test weight were grouped in the other group.
Grain Yield and Nitrogen Use Efficiency in Spring Wheat (Triticum Aestivum L.) Hybrids Under Different Nitrogen Fertilization Regimes
(Polish Society Magnesium Research, 2022) Yildirim, Mehmet; Kızılgeçi, Ferhat; Kizilgeci, Ferhat; Albayrak, Onder; Iqbal, Muhammad Aamir; Akinci, Cuma
Increasing nitrogen use efficiency in modern agriculture is important for obtaining high yields and reducing production costs and environmental pollution. Globally, price reduction and environmental concerns advocate a lower use of nitrogen (N) fertilizer for wheat (Triticum aestivum L.) crop, especially for wheat hybrids. The objective of this study was to assess combining ability at different N levels for agronomic traits and nitrogen use efficiency (NUE) via diallel analysis in wheat hybrids. Four spring wheat cultivars were used to produce a 4 x 4 full diallel cross with the reciprocals. Parents of various origins and their diallel F-2-hybrids were evaluated in field under 0, 120 and 240 kg ha(-1) N doses. The results showed that there was much genotypic variance among nitrogen doses for the NUE, grain yield, agronomic and quality traits. Significant genotypic differences in the yield, protein yield, protein content and NUE were identified among hybrids. General combining ability effect of parents for the grain yield and protein content, and specific combining ability effect of hybrids for the NUE and grain yield significantly changed depending on nitrogen levels. Both genetic and reciprocal effects showed interaction with nitrogen doses in determining the NUE of wheat. Because of the reciprocal x N interaction, the hybrids' reciprocal responses to increasing nitrogen levels revealed positive or negative changes in the yield and NUE characteristics. The winner among hybrids was identified for grain yield and grain nitrogen yield (GNY) at the optimum N level according to the GGE biplot analysis. Inqualab91 x Chils was found to be desirable for selecting NUE traits.
Stability Evaluation of Bread Wheat Genotypes Under Varying Environments by Ammi Model
(Parlar Scientific Publications (p S P), 2019) Kizilgeci, Ferhat; Kızılgeçi, Ferhat; Albayrak, Onder; Yildirim, Mehmet; Akinci, Cuma
Stable and high yield varieties identification under various conditions prior to release as a variety is the main steps for breeding program. In order to exploit narrow and broad adaptability of genotypes and assess their effects, environment and GE interaction, 12 spring bread wheat genotypes were grown at four various experimental locations during 2013-14 and 2014-15 growing seasons. The stability and superiority of genotypes were identified by the AMMI (additive main effect and multiplicative interaction) and GGE (genotype, genotype x environment) biplot analysis. The AMMI analysis showed that the variance of genotype, environment and GE interaction were significant and the major treatment sum of squares were significantly affected by environments (85.47%), genotypes (8.51%) and GE interaction (6.07%). On the other hand, the first principal component axes (PCA 1) distributed to the complete interaction as 62.56%, and the second PCA 2 axes 37.44%. The GGE bi-plot analysis indicated that the total variation PC (principle component) was 83.09%, and PC1 was accounted as 63.69%, PC2 only 19.40%. The AMMI analysis showed that C11 was quite stable as well as the highest yielder among test genotypes, while C7 and C8 were unstable and low yielding across environments. The GGE biplot indicated that it was detected in two mega-environments, and the first mega-environment covered three environment (E1, E2 and E3), and the second mega-environment covered only E4. The genotypes C11 and C12 remained superior under ME I, while genotypes C1, C3 and C5 were for ME II. Among the genotypes, the genotype C1 may be recommended to be developed and released as an approved cultivar for being comparatively more stable and the highest yielder. Therefore the AMMI and GGE biplot models have an opportunity to determine the best genotypes under multiple environments considering on adaptability and stability concentrating on overall performance for screening superior genotypes.