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    COMPARISON OF ROOTING SITUATIONS FOR SALAKHANI AND ZIVZIK POMEGRANATES UNDER DIFFERENT IBA DOSES
    (Aloki Applied Ecological Research And Forensic Inst Ltd, 2020) Al-Jabbari, K. H.; Pakyurek, M.; Yavic, A.
    Rooting performance of Salakhani, a local variety of Iraq and Zivzik (Punica granatum L.), a local pomegranate of Siirt, were compared in our study. For this purpose, the effect of different doses of indole butyric acid (IBA) (0.00, 1000, 2000, 4000, 6000 mg / L) on rooting was examined. Cuttings were kept in the rooting environment for five months and rooting rates, root number, root lengths, survival rates, shoot lengths, shoot and leaf number were determined Salakhani were found to be the best cultivar only in terms of the root length, sprout length, shoot number and leaf number. Zivzik were found to be the best variety with regard to the other properties. IBA application of 4000 ppm was found to be the best all the shoot number, leaf number and root length. The hormone dose of 6000 ppm was found to be the most beneficial for survival and rooting rates. Application of 1000 ppm was found to be the best dose among the doses of hormone only on account of root number.
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    EFFECT OF SEAWEED APPLICATION ON NUTRIENT UPTAKE OF STRAWBERRY CV. ALBION GROWN UNDER THE ENVIRONMENTAL CONDITIONS OF NORTHERN IRAQ
    (Aloki Applied Ecological Research And Forensic Inst Ltd, 2020) Al-Shatri, A. H. N.; Pakyurek, M.; Yavic, A.
    This pot experiment was carried out to investigate the effects of four doses (0, 2, 4 and 8 g.L-1) of seaweed extract (Alga 600) application with fertigation on nutrient uptake of strawberry cv. Albion during the 2016-2017 vegetation period in Kalar city located in Northern Iraq. The results of leaf analysis indicated significant (p<0.01) differences at the nitrogen (N), phosphorus (P), potassium (K), magnesium (Mg), calcium (Ca), manganese (Mn) and iron (Fe) concentrations between two sampling periods. In contrast, copper (Cu) and zinc (Zn) concentrations of plants leaves did not significantly differed between the sampling periods. According to the statistical analysis, the effect of seaweed doses on nutrients were statistically insignificant for all nutrients except Mn (p>0.05). While for the Mn element, the highest value (223.70 +/- 11.59 mg kg(-1)) obtained from T4 (8 g.L-1) seaweed dose; the lowest one (164.91 +/- 11.59 mg kg(-1)) obtained from control dose. The effect of interaction between seaweed doses and periods on nutrients was also not found statistically significant (p>0.05). In general, seaweed extract of 8 g.L-1 was more effective on macro and micro nutrient contents of strawberry leaves.
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    EFFECT OF SEAWEED APPLICATION ON THE VEGETATIVE GROWTH OF STRAWBERRY CV. ALBION GROWN UNDER IRAQ ECOLOGICAL CONDITIONS
    (Aloki Applied Ecological Research And Forensic Inst Ltd, 2020) Al-Shatri, A. H. N.; Pakyurek, M.; Yavic, A.
    This experiment was established in pots during the vegetative period of 2017, in Kalar Sulaymaniyah, Northern Iraq, to investigate the effect of seaweed extracts (Alga 600) of four concentrations (0, 2, 4, 8 g.L-1) applied with fertigation system on growth, flowering, yield and quality properties of strawberry cv. Albion. Drip irrigation system was used in this experiment. According to the results in terms of the vegetative growth characteristics, increasing seaweed extract (Alga 600) amounts had significantly different effects on plants with a different number of crowns. The results concerning flower properties show that increasing seaweed extract applications had significant effects on the number of flowers per plant, yielding 16.55-21.77 units/plant. The results in point of fruit properties show that increasing Alga 600 amounts caused a significant increase of 11.81-17.7 units/plant in terms of fruit number, 211.74-329.37 ml in terms of fruit volume, and an increase of 191.7-295.03 g in terms of yield, compared to the control treatment. The results show that increasing seaweed extract caused a significant increase in fruit quality (TSS/TA ratio from 8.29 to 13.35) compared to the control treatment and increasing seaweed application caused a significant decrease in the TA of the fruit.
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    EFFECTS OF SALINE STRESS ON IN VITRO SEED GERMINATION AND SEEDLING GROWTH OF SOME TURKISH FIG CULTIVARS (FICUS CARICA L.)
    (Corvinus Univ Budapest, 2019) Pakyurek, M.; Dumanoglu, H.
    In this study, saline stress tolerance/sensitivity levels, germination rate of the seeds, and seedling growth of eight fig cultivars (Morguz, Sanlop, Yesilguz, Sultan Selim, Halebi, Bursa Siyahi, Goklop and Izmir Bardacik) of Turkey were examined by in vitro screening. In fig, this is the first and guiding study reporting in vitro germination performance of the seeds in saline conditions for fig researchers. Salt stress in vitro condition was established by adding 0, 85.5, 171.1 and 342.5 mM NaCl to the MS basal medium in current experiment. In the examinations carried out 45 days after seedling, none of the cultivars could be obtained at a dose of 342.5 NaCl. Highest seed germination rates were determined in Sultan Selim (79.5%) and Bursa Black (75.0%) cultivars at 171.1 mM NaCl concentration. In other cultivars, this ratio has changed between 0.0-40.0%. High germination rate (90% <) and plant growth under the observed 85.5 mM NaCl dose was determined for Sultan Selim and Bursa Siyahi cultivars. The seeds and seedlings of Sanlop cultivar, one of the major cultivars for dried fig production, have been found sensitive to salt stress.
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    FUZZY LOGIC APPLICATIONS IN HORTICULTURE AND A SAMPLE DESIGN FOR JUICE VOLUME PREDICTION IN POMEGRANATE (PUNICA GRANATUM L.)
    (Corvinus Univ Budapest, 2019) Pakyurek, M.; Aydin, Y.; Mikail, N.
    Fuzzy expert systems search for a solution based on the expertise of people who are experts in a particular field. This could be described as a kind of advisory system edited on computer. The use of natural language on the basis of fuzzy logic and easier understanding of system logs provide this technique to resolve many daily and current problems. In this study, a sample expert system to estimate juice volume in pomegranate was designed, using the fuzzy logic method, which closest to the logic of the human mindset Recording of data was performed on the private farm of the province of Siirt, Turkey. The Fuzzy Logic Interface of MATLAB Program was used in the designing phase of the system. The evaluation of the model was carried out according to coefficient of determination and coefficient of correlation. The model revealed R-2 = 80% coefficient of determination, and r = 0.89 coefficient of correlation. With more informative parameters, the error rate can be decreased. Fuzzy logic seems one of the useful tools with prediction purposes in horticulture.