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Öğe Can nutritional status of apple trees be determined by leaf analysis in early vegetation?(TAYLOR & FRANCIS INC, 2017) Ucgun, Kadir; Gezginb, SaitIn this study, whether the nutritional status of apple trees can be predicted in the early stages of vegetation was determined by leaf analysis. For this purpose, from different districts of Isparta province in Turkey where apples are cultivated extensively, 150 apple orchards were assessed according to the production potential of districts. The leaf samples were collected at six different stages of vegetation from these orchards, and nitrogen, phosphorus, potassium calcium, magnesium, iron, copper, zinc, manganese, and boron (N, P, K, Ca, Mg, Fe, Cu, Zn, Mn and B) amounts were determined. Correlations were examined between the sixth period and the previous periods. The presence of significant correlations was interpreted, as leaf analysis can be used to determine the nutritional status of apples in the early growth period. Consequently, it was determined that leaf analysis can be carried out at any time from the beginning of vegetation for all elements except Fe and Cu.Öğe Effects of different irrigation intervals and fertilizer applications on certain chemical contents of 'Braeburn' apple cultivar(ACADEMIC JOURNALS, 2009) Kafkas, Ebru; Atasay, Adem; Sabır, Ferhan K.; Akgül, Hüseyin; Ucgun, KadirThe aim of present study was to investigate effects of different irrigation intervals and fertilizers on total lipid, fatty acid and sugar accumulation of Braeburn apple cultivar under Mediterranean climatic conditions. Irrigation program was performed for two consecutive years with three different intervals (1, 3 and 7 days). In fertilization, 40 g N, 32 g P(2)O(5) and 80 g K(2)O per tree (with four replications) applied in the same doses for both years, except for the increased N (50 g per tree) for second year, considering the vegetative growth of the trees. The fruits were commercially harvested in 2006 season. The lipid content ranged from 0.22% (daily irrigation without fertilizer) to 0.70% (irrigation in 7 days intervals with fertilizer). The highest fatty acid was obtained from treatment 3 (irrigation in 3 days intervals without fertilizer) (83.95%), while the treatment 6 provided the least value with 64.08% (irrigation in 7 days intervals with fertilizer). Although certain changes on fructose, glucose, sucrose and total sugars content were detected, the differences were not statistically significantly among the treatments.Öğe Interpretation of Leaf Analysis Performed in Early Vegetation in Apple Orchards(TAYLOR & FRANCIS INC, 2017) Ucgun, Kadir; Gezgin, SaitMid-summer leaf analyses are commonly used as the standard method worldwide to assess the nutritional status of fruit trees. It may be too late to correct nutritional disorders by mid-summer. In this study, reference values that will be used to evaluate the nutritional status of apple trees early in the growing season were derived. To determine the reference values for all sampling periods, the regression curves were created by using the reference values of each period. Correlations were examined between the sixth period and earlier sampling times. The presence of statistically significant correlation coefficients was interpreted as leaf analysis can be used to determine the nutritional status of apples in the early season. It was concluded that leaf analysis can be carried out anytime from commencing two weeks after full loom to lasting 98days after full bloom for all elements except Iron and Cupper.Öğe Investigation of N Deficiency in Cherry Trees Using Visible and Near-Infrared Spectra Part of the Spectrum in Field Condition(OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS, 2017) Başayiğit, Levent; Dedeoğlu, Mert; Akgül, Hüseyin; Ucgun, Kadir; Altındal, MesutThis objective of the study was to develop a model for the determination of N deficiency in cherry trees using a combination of visible near infrared methods and spectro-radiometric measurement. In our experimental design, cherry seedlings were grown under various N deficiency conditions in nutrient-controlled containers. The reflectance values of plant leaves were measured using a spectro-radiometer. Plant leaves samples were simultaneously collected. Their nutrient contents were determined in the laboratory. Afterwards, we performed a statistical comparison of the reflectance values. Sample analysis results established the significant wavelengths. Moreover, we received accurate regression models for predicting N deficiency in cherry leaves that were grown in nutrient solutions. Next, we verified the model validity by measuring the reflectance of the leaves collected from cherry orchards at various locations using a spectroradiometer. Nutrient deficiencies were calculated using the developed model, and then, the predicted and measured data were compared to evaluate model validity. From these results, we determined the wavelengths that yielded the most accurate results for N prediction, selected from the blue and green regions of the spectrum. We established that for N prediction in cherry trees, the simplest model can be created using 560 and 570 nm wavelengths. However, the evaluated model can be applicable only under certain conditions. We concluded that in order to develop a prediction method with sufficient application capacity, as well as the ability to assess nutritional and physiological characteristics, the ecology condition of the plant should be properly considered based on the model.
