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Volume 0, Issue 0 (ARTICLES IN PRESS 2024)
Abstract
Increasing need for drought adaptation measures to conserve water and sustain crop yield in water-scarce regions, driven by severe and recurrent droughts. Achieving sustainable production entails studying deficit irrigation as a means to enhance water productivity and selecting genotypes resilient to soil water deficits. In the present study, 17 different melon (Cucumis melo L.) genotypes collected from the Van Lake Basin and 3 hybrids and 1 standard melon cultivar for control purposes were used. The study was carried out under climate room conditions. Two different irrigation levels (I100: 100% full irrigation, I50: 50% deficit irrigation-DI) were applied in the study for deficit irrigation. The applications started with the emergence of the second true leaves of the plants and after one-month, different growth, nutrient, and enzyme contents of the seedlings were determined. In general, it was determined that deficit water application negatively affects seedling growth, and and root dry matter, stomatal width and density, potassium, APX and SOD enzymes, and MDA content increased, while the other examined parameters decreased. The genotypes of the Van Lake Basin melon were found to vary as a result of the findings.
Volume 16, Issue 4 (7-2014)
Abstract
The effects of rootstocks such as 'sour orange' (Citrus aurantium L. var. ‘Yerli’), 'Carrizo' and 'Troyer citranges' (Citrus sinensis Osb. x Poncirus trifoliata Raf), 'Smooth Flat Seville sour orange' (Citrus spp. hybrid of uncertain origin), 'Brazilian sour orange' (Citrus aurantiam L. var. ‘Brasilian’), 'Volkameriana' (Citrus volkameriana Tan. and Pasq.) and 'Calamondin' (possibly Citrus reticulate var. austere×Fortunella hybrid, Swingle) on plant growth, fruit yield, and quality of ‘Rio Red’ grapefruit were investigated from 2008 to 2012. Rootstocks were found to have significant effects on plant growth, fruit yield, and quality. ‘Rio Red’ grapefruit trees budded on 'Carrizo' and 'Troyer citranges' showed higher vegetative growth parameters (canopy height, diameter, and volume) than the trees on the other rootstocks. The trees on 'Volkameriana' and 'Carrizo citrange' produced higher percentage of cumulative yield of about 55.1 and 34.3%, respectively, than the trees on 'sour orange'. ‘Rio Red’ grapefruit budded on 'Carrizo citrange' had higher fruit quality such as thin rind, high juice content, and more color development than the other rootstocks. 'Carrizo citrange' was the most promising rootstock for ‘Rio Red’ grapefruit in Dörtyol, Eastern Mediterranean region of Turkey.
Volume 20, Issue 8 (August 2020)
Abstract
In this paper, experimental defect diagnosis and the classification of its size in the outer race of angular contact ball bearing with acoustic emission method and artificial neural network are presented. In an experimental system, bearings are loaded at four speeds of 600, 900, 1200, and 1500rpm with four loads from low to high. Loads are applied to the outer race with the help of four bolts with equal and specific torques. Since the bearing is angular type, this type of loading is converted to radial and axial combined loading simultaneously and differs from conventional loads in deep groove bearings. Acoustic emission waves are recorded using broadband sensors in two states, healthy and defective. Therefore, to diagnose the defect, different states can be compared with the healthy. The spark method was used to create an artificially seeded defect. In analyzing the results, a new parameter called “the total time above threshold” was introduced to increase the efficiency of defect diagnosis and classification of its size. With the help of the introduced parameter and 4 conventional acoustic emission parameters and using an artificial neural network, the performance of the artificial intelligence system was 95.1% in defect diagnosis and 94.4% in defect size classification.
