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Articles by Sezgin Uzun
Total Records ( 7 ) for Sezgin Uzun
  M. Serhat Odaba , Sezgin Uzun and Ali Gulumser
  In this study, it was aimed to define the relationships between temperature, light intensity and development stages for faba bean namely rate of progress to emergence, flowering rate, rate of progress to pod onset, rate of height, rate of stem diameter increase and leaf appearance rate. Changes in plant development caused by the effects of environmental conditions such as temperature and light intensity were intended to be described by plant development stages models. All equations produced for development stages were derived as affected by light intensity and temperature. As a result of multi-regression analysis, it was found that there were close relationship between actual and predicted development stages. The regression coefficients (R2) of the produced equations for development stages changed from 0.71 (leaf appearance rate) 0.99 (flowering rate and rate of progress to pod onset).
  M. Serhat Odabas , Sezgin Uzun and Ali Gulumser
  In this study, it was aimed to define the relationships between temperature, light intensity and growth parameters for faba bean (Vicia faba L.) namely leaf area, leaf weight ratio, specific leaf area, leaf area ratio, net assimilation rate and relative growth rate. Changes in plant growth caused by the effects of environmental conditions such as temperature and light intensity were intended to be described by plant growth models. All equations produced for growth parameters were derived as affected by light intensity and temperature. As a result of multi-regression analysis, it was found that there was close relationship between actual and predicted growth parameters. The regression coefficients (R2) of the produced equations for growth parameters changed from R2: 0.73 (leaf weight ratio) to R2: 0.94 (leaf area ratio).
  Hamdi Zenginbal , Sezgin Uzun , Muharrem Ozcan and Taki Demir
  A total of 1000 leaves were selected randomly from five different Kiwifruit (Bruno, Hayward seedling, Matua, Tomuri and Hayward) plants that are widely grown in Rize-Turkey, were used in this research. Their lamina leaf width, length and area of the leaves were measured. The actual leaf areas were measured by PLACOM Digital Planimeter and multiple regression analysis with The Excell 7.0 was performed. The leaf area model developed for kiwifruit was LA = 124.56 - (18.3HL) - (14.68HC) + (0.416HL2) + [1.26H(LHW)] - [0.011H(L2HWHC)] + [0.23H(LHWHC)] - 0.18HW2) where LA is leaf area (cm2), L is leaf length (cm), W is leaf width (cm), C is Kiwifruit cultivars (1 Bruno, 2 Seedling, 3 Matua, 4 Tomuri, 5 Hayward). R2 value (0.97) and standard error were found to be significant at the p< 0.001 level.
  Sezgin Uzun and Aysun Peksen
  In this study, it was aimed to determine the effects of different planting times (01 July, 15 July and 01 August) on the growth and developmental components of some cauliflower cultivars (Snow King, White Cliff, White Rock, White Latin, Me & Carillon, SG 4004 F1 and Serrano) by using plant growth and developmental models. From the results of the present study, it was revealed that thermal time elapsing from planting to curd initiation should be high (about 1200°C days) to stimulate vegetative growth while thermal time elapsing from curd initiation to the harvest should be low (around 200°C days) in terms of curd weight. The highest curd weight and yield were obtained from the plants of the first planting time, namely 01 July, compared to the other planting times (15 July and 01 August). Although there were no significant differences between the cultivars, the highest yield was obtained form Cv. Me & Carillon (13.25 t ha–1), SG 4004 F1 (13.14 t ha–1) and White Rock (11.51 t ha–1) respectively.
  Kudret Kevseroglu , Sezgin Uzun and Omer Caliskan
  In this study, the possibility of prediction of germination percentage and days to germination of the seeds for some industrial plants; sunflower (Helianthus annus L.), soybean (Glycine max L.), pappy (Papaver somniferum L.), fenugreek (Trigonella foenum L.), nigella (Nigella sativa L.) and castor oil (Ricunus comminus L.) by mathematical models based on temperature was investigated. For this reason, a model (D=a-b*T+c*T2) produced earlier for predicting the time to emergence in relation to temperature for some vegetable crops was utilised. The final structure of the model did not change for predicting the days to germination of the tried industry plants while it changed to (D=a+b*T-c*T2) for predicting germination percentage (GP) of the crops tried. It was found that the new mathematical models obtained after adapting the present data to the above-mentioned model could be used safely in terms of the studied parameters. In addition, optimum temperatures (To=b/2*c) for seed germination in the tried crops were calculated by using the coefficients obtained from the produced regression models of the days to germination.
  Sezgin Uzun , Dilek Marangoz and Fikret Ozkaraman
  A simple regression model based on mean temperature was developed to be used for predicting the time elapsing from seed sowing to seedling emergence for some vegetable crops, namely tomato (Lycopersicon esculentum, Mill.), pepper (Capsicum annum, L.), aubergine (Solanum melongena, L.), pea (Pisum sativum, L.), carrot (Daucus carota, L.), sweat corn (Zea mays), cabbage (Brassica oleraceae L.var. capitata (L) Alef), cauliflower Brassica oleraceae L.var. botrytis L), onion (Allium cepa, L.), celery (Apium graviolens, L.), lettuce (Lactuca sativa, L.), parsley (Petroselinum hortense) , garden beet (Beta vulgaris, L.), cucumber (Cucumis sativus, L.), melon (Cucumis melo, L.), runner bean (Phaseolus vulgaris, L.), watermelon (Citrullus lanatus, Thunb.), okra (Hibiscus esculentus, L.), asparagus (Asparagus officinalis, L.), spinach (Spinacia oleracea, L.), radish (Rhaphanus sativus, L.) and turnip (Brassica rapa, L.). The prediction performance of the model with respect to the data used was highly acceptable. R2 values of regression co-efficients for each crop varied from 0.94 to 0.99 depending on the species. Plotting the actual days from seed sowing to emergence for all the crops against the predicted ones showed that the prediction performance of the model was good explaining 98% of the variation for combined data from all the crops. The present model also predicted optimum temperatures (To) for tried vegetables in the limits of acceptability.
  Hamdi Zenginbal , Muharrem Ozcan , Sezgin Uzun and Cuneyt Crak
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