Effects of different irrigation regimes and nitrogen levels on yield and quality of melon (Cucumis melo L.)

In order to study the effects of different irrigation regimes and nitrogen (N) levels on yield and some yield components of melon, a research was conducted at the Agricultural Experimental Field of the Harran University (Sanliurfa, Turkey) during the growth periods of 2007 and 2008. The growing season of melon was divided into four phenological stages: (i) Stage I, from seed germination to beginning of flowering; (ii) stage II; from beginning of flowering to small fruit, (iii) stage III; from small fruit to fullexpanded fruit and (iv) stage IV; from full-expanded fruit to harvesting. Regulated deficit irrigation (RDI), deficit irrigation (DI), full (I-full) and excessive irrigation (I-excessive) strategies were examined. The irrigation treatments were 33% (I0.33), 67% (I0.67), 100% (I1.00), and 133% (I1.33) ratios of total irrigation water applied (IW)/cumulative pan evaporation (CPE) with four day irrigation interval. Totally, 28 treatments were designed and applied as combination of nitrogen and irrigation levels. Four nitrogen treatments were: Control (N1), basic fertilizer (100 kg ha-1 pure N); N2, basic fertilizer + 30; N3, basic fertilizer + 60 and N4, basic fertilizer + 90 kg ha-1 as urea. The field experiment was setup employing a randomized split-plot design with three replications. N levels were assigned to the main plot and irrigation to the sub plot. Irrigation water amount applied, fruit yield and some quality parameters, yield response factor, irrigation water use efficiency, water use efficiency, water saving at different N levels and irrigation regimes were determined. Results show that irrigation regimes and N levels had significant effects on fruit yield. The best combination of treatments was N3*DI-low (T19) with a yield of 59.77 t ha-1 which corresponds to 10% yield loss providing 55% water saving. It could be applied for sustainable production, saving a significant amount of water and increasing the nitrogen use efficiency, where water is scarce.Key words: Melon, regulated deficit irrigation (RDI), nitrogen, yield

Effects of deficit irrigation on yield and yield components of vegetable soybean [Glycine max L. (Merr.)] in semi-arid conditions

Vegetable soybeans [Glycine max L (Merr.)] are very sensitive crops to environmental conditions during their growth stages, especially in term of water scarcity. Water scarcity is one of the major environmental factors influencing sustainable agricultural production in arid and semi-arid regions. Careful management irrigation strategies need to save irrigation water with marginal yield reduction. The objective of this research was to investigate the effects of the water deficit on yield and yield components of soybean in semi-arid conditions. This research was carried out at the Agricultural Experimental Field of the Harran University (Sanliurfa, Turkey) on clay soil during the growth periods of 2006 and 2007. The irrigation treatments were 33% (I33), 67% (I67), 100% (I100) and 133% (I133) ratios of total irrigation water applied (IW)/cumulative pan evaporation (CPE) with four day irrigation interval. The average amount of irrigation water applied to treatments (I133, I100, I67 and I33) was 1058, 795, 533 and 263 mm and 1094, 823, 551 and 272 mm for Toyokomachi and Toyohomare cultivars, respectively. The maximum green pod yields were 20.6 and 29.1 t ha-1 with 997 and 922 mm water consumption for Toyohomare and Toyokomachi, respectively in I133 treatments. Yield response factor (ky) values of I100, I67 and I33 treatments were determined as 2.17, 0.92 and 0.59 for Toyohomare and 3.50, 0.61 and 0.61 for Toyokomachi, respectively. The results of the study implied that at least equal (I100) or excess of the evaporated water amount is required to produce high yield in soybean. Differences of yield between cultivars in response to irrigation levels make it necessary to select less sensitive cultivars to water stress especially in semi-arid and arid areas. Varietal characteristics must be considered for successful growing of soybean.Key words: Soybean, Glycine max, deficit irrigation, water deficit

Traction force microscopy with optimized regularization and automated Bayesian parameter selection for comparing cells

Adherent cells exert traction forces on to their environment, which allows them to migrate, to maintain tissue integrity, and to form complex multicellular structures. This traction can be measured in a perturbation-free manner with traction force microscopy (TFM). In TFM, traction is usually calculated via the solution of a linear system, which is complicated by undersampled input data, acquisition noise, and large condition numbers for some methods. Therefore, standard TFM algorithms either employ data filtering or regularization. However, these approaches require a manual selection of filter- or regularization parameters and consequently exhibit a substantial degree of subjectiveness. This shortcoming is particularly serious when cells in different conditions are to be compared because optimal noise suppression needs to be adapted for every situation, which invariably results in systematic errors. Here, we systematically test the performance of new methods from computer vision and Bayesian inference for solving the inverse problem in TFM. We compare two classical schemes, L1- and L2-regularization, with three previously untested schemes, namely Elastic Net regularization, Proximal Gradient Lasso, and Proximal Gradient Elastic Net. Overall, we find that Elastic Net regularization, which combines L1 and L2 regularization, outperforms all other methods with regard to accuracy of traction reconstruction. Next, we develop two methods, Bayesian L2 regularization and Advanced Bayesian L2 regularization, for automatic, optimal L2 regularization. Using artificial data and experimental data, we show that these methods enable robust reconstruction of traction without requiring a difficult selection of regularization parameters specifically for each data set. Thus, Bayesian methods can mitigate the considerable uncertainty inherent in comparing cellular traction forces

The effects of different irrigation regimes on yield and silage quality of corn under semi-arid conditions

The aim of this study was to evaluate the effects of different quantities of drip irrigation water on the corn yield and silage quality under semi-arid conditions. The seasonal evapotranspiration (ETc) for the different irrigation regimes varied from 434 to 947 mm in 2004 and from 468 to 1003 mm in 2005 for total irrigation periods of 108 and 113 days, respectively. Combining data from both years, the relative evapotranspiration deficit (1−ETa/ETm) for different regimes was 19 to 54% in corn compared to the maximum seasonal ETc when water was not limited in the (I100) regime. During the course of both years, irrigation had an apparent effect on the total fresh silage yield (FSY), with yields increasing steadily from water stress to fully irrigated conditions, while silage yields increased linearly with the total depth of irrigation water applied between planting and harvest. Combining data from both years showed that the FSY was 35.0, 53.6, 83.3 and 88.9 t ha-1 for I25, I50, I75 and I100, respectively. Moreover, the largest FSY recorded amongst these experiments at maximum seasonal yield in single treatment was 89.1 t ha-1 in 2004 and 88.7 t ha-1 in 2005. The water content decreased considerably in all but FSY, while the dry matters yield (DMY), organic matter (OM), acid detergent fiber yield (ADFY) and in vitro dry matter digestibility (IVDMD) increased. Furthermore, the study substantiated that the highest yield and silage quality were obtained at the full (I100) irrigation regime.Key words: Silage, deficit irrigation, yield, silage quality

The Schrodinger equation with Hulthen potential plus ring-shaped potential

We present the solutions of the Schr$\ddot{o}$dinger equation with the Hulth$\acute{e}$n potential plus ring-shape potential for $\ell\neq 0$ states within the framework of an exponential approximation of the centrifugal potential.Solutions to the corresponding angular and radial equations are obtained in terms of special functions using the conventional Nikiforov-Uvarov method. The normalization constant for the Hulth$\acute{e}$n potential is also computed.Comment: Typed with LateX,12 Pages, Typos correcte

A note on q-Bernoulli numbers and polynomials

By using p-adic q-integrals, we study the q-Bernoulli numbers and polynomials of higher order.Comment: 8 page

Geometric Morphometric Study and Cluster Analysis of Late Byzantine and Modern Human Crania

Inter-population variation of cranial morphology, which plays an important role in human evolution studies and biological research, can be studied morphologically and metrically. Geometric morphometry compares body forms using specific landmarks determined by anatomical prominences. The aim of this study was to identify cranial shape differences between the crania of Byzantium period humans and modern humans. Variability in cranial shape was examined using the geometric morphometric technique based on landmark coordinates. Landmark coordinate data were collected from two-dimensional digital photogrammetry and were analyzed using generalized Procrustes analysis, hierarchical clustering and thin-plate spline analysis

Exact Solutions of the Duffin Kemmer Petiau Equation for the Deformed Hulthen Potential

Using the Nikiforov Uvarov method, an application of the relativistic Duffin Kemmer Petiau equation in the presence of a deformed Hulthen potential is presented for spin zero particles. We derived the first order coupled differential radial equations which enable the energy eigenvalues as well as the full wavefunctions to be evaluated by using of the Nikiforov Uvarov method that can be written in terms of the hypergeometric polynomials.Comment: 8 pages. submitted to Physica Script

Quantum Delocalized Interactions

Classical mechanics obeys the intuitive logic that a physical event happens at a definite spatial point. Entanglement, however, breaks this logic by enabling interactions without a specific location. In this work we study these delocalized interactions. These are quantum interactions that create less locational information than would be possible classically, as captured by the disturbance induced on some spatial superposition state. We introduce quantum games to capture the effect and demonstrate a direct operational use for quantum concurrence in that it bounds the nonclassical performance gain. We also find a connection with quantum teleportation, and demonstrate the games using an IBM quantum processor