Effect of plant density and foliar fertilizer spray on growth and yield of netted melon (Cucumis melo L.) ‘Inthanon RZ’

The cultivation of netted melon is becoming popular in vegetable farms in Vietnam. The netted melon cultivar ‘Inthanon RZ’ was evaluated for its growth ability, yield, fruit quality, and economic efficiency when treated with densities of 38,000 and 33,000 plants/ha and four foliar fertilizer sprays: Biotic foliar AMINO ACID 1000, NPK NUTRI-GOLD 29-10-10 + 3 MgO + TE, NPK HAI-CHYODA 14-17-12 + 12 S, and NPK DAU TRAU 30-10-5 + TE. The experiment was conducted in a plastic house at the Biotechnology Institute of Hue University from January to April 2019. The experiment area was 72 m2. The results indicate that plants have a similar growth time under the cultivation conditions. The plants grown with the density of 38,000 plants/ha exhibit a higher leaf area index. The actual yield ranges from 34.00 tons/ha (AMINO ACID 1000; 33,000 plants/ha) to 46.22 tons/ha (NPK HAI-CHYODA 14-17-12 + 12 S; 38,000 plants/ha). Applying NPK HAI-CHYODA 14-17-12 + 12S or NPK DAU TRAU results in the Brix grade higher than 12.0 for both plant densities. Powdery mildew is the most frequently observed in the treatments with NPK DAU TRAU. The yield and profit obtained from trading the melon are highest for the density of 38,000 plants/ha with fertilizer NPK HAI-CHYODA 14-17-12 + 12S

Influence of nitrogen level and plant density on growth parameters and economic efficiency of sunflower cultured in Thua Thien Hue province

Sunflower (Helianthus annuus) cultivation is gaining popularity among Vietnamese farmers. Two separate experiments were conducted from January to April 2018 in a randomized complete block design with three replicates. Four levels of each factor were included in the experiments: 0, 20, 40, and 60 kg/ha for nitrogen and 11, 13, 16, and 20 plants/m2 for the density. The nitrogen fertilizer (up to 60 kg/ha) substantially affects the leaf area, diameters of stem plant, receptacle and flower head, and cut flower vase life. Low plant density works well on plant height, leaf number, width and length at the flowering stage, with the largest head diameter (17.2 cm) at the 13 plants/m2 density. Based on the results of both growth ability and economic efficiency, we suggested applying N at 60 kg/ha and planting at 16 plants/m2 density for growing F1 cut sunflowers in Thua Thien Hue province

CORRELATIONS BETWEEN FRUIT’S YIELD WITH HORTICULTURAL TRAITS AND INHERITANCE OF MORPHOLOGICAL TRAITS OF SPONGE GOURD (LUFFA CYLINDRICA)

Abstract: Enhancing the production yield fornew generations of each horticultural crop needseffective selecting programs to find outexcellent traits forming thisfruit yield. Therefore,this study aims to investigate the correlations between the fruit yield withhorticultural traits, mainly with yield’s components and inheritance of some morphological traitsofsponge gourd (Luffa cylindrica). An F2 population was generated from a cross between sponge gourds GBVN006904 (male) and GBVN005333 (female) at University of Agriculture and Forestry, Hue University,Vietnam. The positive correlations are observed between the fruit yield per plant andthe fruit diameter, fruit weight, and number of fruits per plant (0.901**). The male first flower appearance time showsa significant positive correlation with female first flower appearance one. The peduncle length correlates positively with the fruit length. The fruit length is enhanced when fruit weight increases. The total soluble solids and fruit diameter show a slightly negative correlation. Chi-square analysis for the leaf shape, depth of lobing, leaf color, and leaf pubescence shows a good fit to a ratio of 9:6:1, thus being controlled by duplicate genes interaction. The fruit color (dark-green:light-green) fits well to a ratio of 15:1, giving its control to duplicate genes with dark-green color being dominant, whereas the fruit shape assorts independently according toa ratio of 9:3:3:1. The fruit stripe color exhibits monogenic incomplete dominance, and the curvature of the fruit is a monogenic recessive trait. Fruit yield components, such as the number of fruit per plant, the fruit weight, and the fruit diameter,strongly affect the fruit yield of sponge gourd. The inheritance of morphological traits indicates that most of the traits are controlled by complete dominance at both gene pairs excepted for fruit strip color and curvature of fruit.Keywords: correlation, inheritance, morphological traits, sponge gourd, yield component

Influence of biofertilizer produced using drumstick (Moringa oleifera L.) unused parts on the growth performance of two leafy vegetables

The non-edible parts of Moringa oleifera, such as stems, branches or leaf petioles, have often been discarded while the leaves are consumed as a vegetable or are used to produce organic fertilizer. This study aimed to determine the optimal conditions for producing Moringa organic fertilizer (MOF) from previously unused parts and to compare these fertilizers with cow manure and bio-organic fertilizer. Seventy kilograms of the unused Moringa parts were blended with fifty kilograms of manure, 0.2 kilogram of Trichoderma-based product and two kilograms of superphosphate. The mixture was incubated at different intervals, including 5, 7 or 9 weeks. Next, the effects of MOF on the growth, yield, ascorbic acid content and Brix of lettuce and mustard spinach were also determined and compared with other organic fertilizers (cow manure and bio-organic fertilizer). Results of the study revealed that 25 tons per ha of MOF were significantly superior to those treated with cow manure and bio-organic fertilizer in the case of vegetable yields. Further, 7 weeks of MOF incubation was found suitable to produce an optimal yield during the various incubation period. These results suggested that the Moringa non-edible parts can make organic fertilizer and enhance growth, yield, and leafy vegetable production

Selecting target market by similar measures in interval intuitionistic fuzzy set

The selection of the target market plays vital role in promoting the marketing strategies of companies. We presented is a method for target market selection. We introduce some novel similarity measures between intuitionistic fuzzy sets and the novel similarity measures between interval-valued intuitionistic fuzzy sets. They are constructed by combining exponential and other functions. Finally, we introduce a multi-criteria decision making model to select target market by using the novel similarity measure of interval intuitionistic fuzzy sets

STUDENTS’ PERCEPTIONS OF ACTIVE LEARNING IN INTRODUCTION TO LITERATURE

There is a growing interest in active learning as a shift from traditional lecturing to improving student-centred learning in English. However, in the Vietnamese context of teaching and learning at tertiary levels, little research has examined students’ perceptions of active learning in approaching Introduction to Literature. This study is therefore aimed to look into this area of interest. Participants in this study were 94 students from junior and seniors majoring in high-quality programs at a university in the Mekong Delta. Data were collected from questionnaires. The findings show that students had positive perceptions of active learning in studying this course. Implications for teaching and learning this course are made.  Article visualizations

A study on the corrosive inhibition ability of CT3 steel in 1 M HCl solution by caffeine and some characteristics of the inhibition process

Caffeine was isolated from dry green tea leaves and used as corrosion inhibitor. The aim of this paper is to study the corrosion inhibition behavior of caffeine with its different concentrations (from 0.01 g/L to 3.00 g/L) for CT3 steel in 1M HCl solution by the curve polarization measurements and surface examination studies. Experiment result showed that: as the concentration of caffeine increases, the inhibition efficiency increases; %IE max is approximately 83.27% at concentration of caffeine 3.00 g/L. The experimental data from all measurements was found to  fit well with the Langmuir caffeine adsorption isotherm. Calculated values of free energy of adsorption DGads are -14.71 kJ/mol. It shown that, the adsorption is spontaneous and consistent with the mechanism of physical adsorption. It showed that, the adsorption is spontaneous and consistent with the mechanism of physical adsorption. As temperature increase from 298 to 318 K, the inhibition efficiency is relatively stable: decrease slightly from 83.27 % down 78.50 %. Calculated values of the heat of adsorption DHads are ranged from -6.38 kJ/mol to -19.89 kJ/mol, indicating  that  the adsorption of caffeine on the surface of CT3 steel is exothermic. The increasing of activation energy  in corrosion process which presents caffeine 3.00 g/L compared to absent caffeine proved that caffeine have corrosion occurred more difficult

1M parameters are enough? A lightweight CNN-based model for medical image segmentation

Convolutional neural networks (CNNs) and Transformer-based models are being widely applied in medical image segmentation thanks to their ability to extract high-level features and capture important aspects of the image. However, there is often a trade-off between the need for high accuracy and the desire for low computational cost. A model with higher parameters can theoretically achieve better performance but also result in more computational complexity and higher memory usage, and thus is not practical to implement. In this paper, we look for a lightweight U-Net-based model which can remain the same or even achieve better performance, namely U-Lite. We design U-Lite based on the principle of Depthwise Separable Convolution so that the model can both leverage the strength of CNNs and reduce a remarkable number of computing parameters. Specifically, we propose Axial Depthwise Convolutions with kernels 7x7 in both the encoder and decoder to enlarge the model receptive field. To further improve the performance, we use several Axial Dilated Depthwise Convolutions with filters 3x3 for the bottleneck as one of our branches. Overall, U-Lite contains only 878K parameters, 35 times less than the traditional U-Net, and much more times less than other modern Transformer-based models. The proposed model cuts down a large amount of computational complexity while attaining an impressive performance on medical segmentation tasks compared to other state-of-the-art architectures. The code will be available at: https://github.com/duong-db/U-Lite.Comment: 6 pages, 7 figure

INVESTIGATING THE EXPERIENCES OF STUDENTS WITH DISABILITIES WITH E-LEARNING DURING THE COVID-19 PANDEMIC IN VIETNAMESE HIGHER EDUCATION

This study uses a mixed-methods approach to investigate the experiences of Vietnamese university students with disabilities (visual/mobility impairments) with e-learning as a consequence of emergency remote teaching during the COVID-19 pandemic. An analysis of the ideas of 20 surveyed students with disabilities at eight universities in Ho Chi Minh City and six students interviewed afterward shows that students can change their study habits to adapt to e-learning and to enjoy this model of learning. However, the participants revealed that they also want to experience face-to-face learning so that they can interact with their lecturers and peers more effectively and in more diverse ways, as well as assimilate lectures more easily. Furthermore, the research shows that various adjustments should be made by system designers, universities, and lecturers to make e-learning friendlier to disabled students. The recommended adjustments include designing easy-to-use learning tools and platforms, providing lecturers with the necessary tools and facilities to design lessons appropriate for all students, providing psychological and technical support for disabled students, choosing user-friendly learning applications and platforms, providing students with suitable learning resources, and modifying testing and assessment methods