STUDY OF DIRECT RESPONSE AND RELATED TO THE EARLY SELECTION OF DURUM WHEAT (TRITICUM DURUM DESF.) GENOTYPES GROWING UNDER SEMI-ARID CONDITIONS

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.13
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Abstract: This study which was leaded in agricultural experimental station of technical field crops institute (TFCI), (ITGC in French) of Setif, East Algeria. The objective of this study is to evaluate the direct response and related to two F4 and F5 generations for the early selection of three hybrids viz., Ofanto/MBB, Ofanto/Waha, and Ofanto/Mrb5 of durum wheat (Triticum durum Desf.) growing under semi-arid conditions. Analysis of variance shows the presence of genetic changes for all measured traits in parents. Direct and indirect early selection of crossbreeds of these three advanced generations shows that the same character taken as a selection criterion gives increased effectiveness for some traits in crossing without other. By comparison between the observed increases in grain yield, the highest increases in gain yield were chosen by selection on the basis of grain and economic yield, number of ears and indexes (DSI, SWI). The following up of response of lines with high grain yield indicates (G x E) interaction for most lines. Among these three hybrids, Ofanto/MBB combined most desirable characters (Production, resistance etc.) by lowering of canopy temperature (CT) and increasing of grain yield. Linear regression analysis (R2) shows a highly significant correlation between grain and economic yield (R2>0,900) and the number of spikes (R2>0,670), contrariwise no correlation between productive traits and those of resistance. The results of this study proved that the advanced line Ofanto/MBB has combined more desirable traits (Productivity and resistance, ext.) by lowering of a canopy temperature (CT) and increasing of grain yield.

Author(s): Abdelmalek Oulmi, Ali Guendouz, Nadjim Semcheddine, Benalia Frih, Noureddine Laadel, Abdelhamid Adjabi, Amar Benmahammed


SUPPORT VECTOR MACHINES ALGORITHM FOR LAND COVER MAPPING USING GOOGLE EARTH ENGINE CASE STUDY SUB-WATERSHED OF OUED EL ARABE

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.10
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Abstract: With the rapid growth in big data, classification is becoming a necessary tool for practitioners and decision-makers in many fields of research. Several classifications techniques have been developed in the area of machine-learning and pattern recognition. In this paper, we try to present the outline of the main stages through which a supervised classification under the support vector machine algorithm is processed. We utilize a method for applying SVM learning algorithm for data classification and regression purposes under a cloud computing platform. We also point out that we have taken benefit of the various advantages offered by the Google Earth Engine platform through which we have found that in addition to guaranteed saving of time and effort, this platform has produced perfect results of high precision. The latter can be shown in two precision indicators that we used and which yielded very satisfactory results.

Author(s): Chakali Ahmed Nadjib, Zeraib Salah, Abderrahmane Ben Salem HACHI


PUBLIC OPINION ABOUT EVENTS IN THE POLITICAL, ECONOMIC AND SOCIAL LIFE OF THE POPULATION OF THE REPUBLIC OF THE NORTH CAUCASIAN FEDERAL DISTRICT OF RUSSIA

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.1
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Abstract: Respondents and experts were asked to speak about socially significant events in their opinion that have taken place in the Russian Federation and the republics of the North Caucasus Federal District in recent years. The opinions of respondents and experts about political events in Ukraine and Crimea were often emotionally colored, however, economic problems were mentioned twice more often by the survey participants, from which it can be concluded that the residents of the North Caucasus are more concerned about events directly related to their material well-being : falling living standards, falling ruble exchange rate, consequences of sanctions, falling oil prices on the world market. Military actions of the Russian military corps in Syria were mentioned in isolated cases. The annexation of Crimea was perceived by respondents in every fifth case as a positive event, and actions in eastern Ukraine in every fourth case as negative. Despite excessive media coverage of the 2014 Sochi Olympics, respondents mentioned it as a positive event in 1.67% of cases, while experts stopped at it in 3%, evaluating this event as “unnecessary”, “an attempt to embellish the image of the head of state” , "An opportunity to steal a lot of money." In total, positive events were mentioned by respondents in 23.4%, negative - in 38.1%, respondents found it difficult to answer in 39.0% of cases.

Author(s): Dzutsev Khasan Vladimirovich, Dibirova Aminat Parukovna, Kornienko Natalya Vladimirovna


EFFECT OF CLIMATIC FACTORS ON THE EVOLUTION OF THE WHITE DATE PALM SCALE PARLATORIA BLANCHARDI AT BISKRA OASIS, ALGERIA

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.17
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Abstract: Abstract The date palm is the main agricultural base in the southern region of the Saharan Atlas, Algeria and especially at Biskra , Algeria .This crop is threatened by insect pests, such as the white date palm scale Parlatoria blanchardi (Targioni-Tozzetti, 1868) (Hemiptera?Diaspididae). This devastating pest causes premature dryness of the date palm trees, and leads to total loss of the palm. During this study, the white date palm scale completes four cycles or four generations per year. The first generation occurs in early summer during the two study seasons, 2017 and 2018. The second generation is mentioned in mid-July in 2017 and mid-August in 2018. The third generation appears at the end of September in 2018 and mid-October,2018. The fourth generation is mentioned at the end of December in 2017 and mid-January in 2018. Keywords Date palm, Biskra, oasis, date scale, population , dynamic, temperature, humidity

Author(s): Mehenni Mokhtar, Tarai Nacer


DOES LEVERAGE-PERFORMANCE VARY WITH FIRM SIZE? EVIDENCE FROM INDIA

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.9
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Abstract: This study evaluates whether the relationship between leverage and firm performance is impacted by firm size from a sample of 900 listed non-financial Indian firms over the ten-year period, 2010-2019. The threshold panel regression method developed for non-dynamic panels with individual effects is applied. The advantage of this approach is that the number of thresholds and their locations are endogenously determined. The study finds a non-linear relationship between leverage and firm performance which is contingent on firm size. A single threshold level of firm size is found to split the sample into two groups, small firms with total assets of INR 1461.167 million or less and large firms with total assets exceeding INR 1461.167 million. Leverage is found to diminish firm performance in case of both small and large firms. However, the negative impact is less severe on large firms although they employ a higher level of leverage and rely more on short-term sources. The study offers empirical findings to understand the relationship between leverage and firm performance in the context of an emerging market with less-developed bond market. Both large and small firms are found to rely heavily on short-term funds. Leverage is found to have a negative association with firm performance for all firm sizes. But small firms that employ less leverage with a lower proportion of funds from short-term sources suffer a higher reduction in performance for leverage increases. The findings of this research call for immediate development of corporate bond market which can be easily accessed by firms of all sizes in order to avert the negative effect of expensive leverage on the growth and performance of these Indian firms.

Author(s): Lakshmi Kalyanaraman

MOLECULAR INTERACTION PARAMETERS THROUGH FTIR SPECTRAL ANALYSIS

Volume 76, Nov 2020
doi: 10.21506/j.ponte.2020.11.11
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Abstract: Molecular interaction parameters and the strength of molecular interactions in the binary mixtures of Propylene glycol and Heptanol for different molar ratios are investigated through FTIR spectral data analysis. The intermolecular interaction parameters: Force constant, bond length, infrared intensity enhancement and molecular polarizability are considered in the computation. These parameters are very sensitive to the shifts in the vibrational frequencies that are caused by molecular interactions of functional groups. Propylene glycol (PG) and Heptanol for different molar ratios (PG + Heptanol: 0.1 + 0.9 to 0.9 + 0.1) that are taken for determining hydrogen bonded liquid complex systems. The results confirmed showing that the intermolecular hydrogen bond formation for molar ratio of the liquid complex 0.2 + 0.8 is stronger compared to other molar systems. Further, the observed results are correlated by the statistical analysis of FTIR data. Such statistical analysis includes the computation of variance � covariance values and eigen values using MATALAB computational tool.

Author(s): K. Srisanthi, Sk. Suriya Shihab, K. Mallika, S. Sreehari Sastrym


THE CHALLENGES OF USING SOCIAL MEDIA IN TEACHING AND LEARNING IN SOUTH AFRICAN HIGHER EDUCATION CONTEXT

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.18
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Abstract: As social media is progressively visible in South African higher education institution, facilitators utilize technology to facilitate and advance education as well as promote constructive learning. The purpose of this study is to examine the challenges of using online networking in education within the environment of South African higher education. It is considerable extra significant to comprehend the natural surroundings of technology in the progression of learning more than just a technology integration on its own. No matter in what way eye catching a recent technology can turn into, that recent technology is just an ordinary application that is utilized frequently to transmit learning material accessible on social media. Technology should never ever replace learning, but it will support learning processes, advance education effectiveness, and improve student education involvements. Students and lecturers should take advantage of a social media learning to make learning more manageable. Students feel comfortable to utilize the web applications that they already know. Social media applications are an open means, which also implies that they are open to unrestricted community. It is lecturers� responsibility to make sure this learning environment is safe for the best interest of student learning. It is also the obligation of lecturers to teach students and prepare them with logical and thoughtful abilities during the process of using social media means. A clever implementation of social media applications can involve students in collaborative learning, which is the strategy to an effective learning. However, the utilization of social media in teaching can occasionally be very challenging to lecturers. Students understands social media better so they can work cooperatively with their lecturers to make an online learning possible.\nKeywords: challenges, social media, higher education, teaching and learning.

Author(s): Jeremiah Madzimure

IMPACT OF THE USE OF IRRIGATION WATER ON SOIL SALINIZATION CASE OF THE PALM GROVE OF BORDJ BEN AZOUZ BBA-BISKRA (ZIBAN OASIS, SOUTH-EASTERN ALGERIA)

Volume 77, Jan 2021
doi: 10.21506/j.ponte.2021.1.1
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Abstract: This work deals with the physicochemical quality of water irrigation of agricultural land in the palm grove of Bordj ben Azouz. The aim is to evaluate their ability to irrigate palm groves and their effects on soil change under irrigation in the presence and / or absence of drainage. A hydro geochemical assessment of the groundwater, as well as drainage and. soil samples from irrigated and non-irrigated are performed. The electrical conductivity associated with the geochemical facies and SAR (Sodium adsorption Ratio) reflect a global salinity of the water irrigation, the drainage waters follow the same general trend as that the waters of the wells, the soils show a significant difference of the salinity between the irrigated / drained ones and the others not. The geochemical simulation was carried out using a thermodynamic model of the software Phreeqc Interactive 3.1.4-8929 indicates the supersaturation of the water with respect to the carbonate minerals and the under saturation for the evaporites where the gypsum is close to saturation even exceeds it so that it can precipitate itself by forming the gypso-limestone crust (Debdeb). To protect the environment from saline pollution, a sustainable water and salinity management plan must be installed as well as possible and continuous monitoring of the drainage system are required to remove salt water from irrigated soil.

Author(s): Rechachi Miled Zohra, Abdelhafid Youcef, Mancer Halima, Benaoune Saliha, Hiouani Fatima, Chebbah Mohamed


EVALUATION OF THE BLOOM’S TAXONOMY FOR USE IN HIGHER EDUCATION

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.16
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Abstract: The purpose of this article is to evaluate the Bloom’s Taxonomy by reflecting on critical viewpoints on the model as well as to explain how an educator use them in the classroom. Bloom’s Taxonomy is a model of learning developed by Benjamin Bloom in 1956 and later modified in 2001 by Anderson (his former student). The aims of the model are to make students aware of what there were learning as well as to categorise goals of any curriculum in terms of cognitive skills. Bloom’s Taxonomy represents the process of learning through its six levels: remember, understand, apply, analyse, evaluate and create. As a teacher or lecturer, this is a useful tool one can use to set questions and design objectives aim at improving student’s cognitive skills and abilities since this framework can develop learning from simple to complex. Over and above, the teacher can approach learning from all domains.

Author(s): Jeremiah Madzimure

EXAMINING THE THEORETICAL PERSPECTIVES UNDERLYING COLLABORATIVE LEARNING

Volume 76, Dec 2020
doi: 10.21506/j.ponte.2020.12.15
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Abstract: Collaborative learning is a widely used educational approach. The purpose of this article is to examine the theoretical perspectives underlying collaborative learning in higher education. In collaborative learning, learners actively participate in group activities where they share knowledge and expertise. An exploration of constructivism shows that it supports the great potential of collaborative learning in enhancing the learning experience. It contributes to an understanding of how collaborative learning improves the academic, social, and psychological aspects of learning. Constructivism forms the theoretical basis for the application of collaborative learning in the classrooms. Social constructivism stresses the importance of reciprocal interaction among group members in the construction of knowledge. This coincides with the nature of collaborative learning, in which students interact with each other on learning tasks to attain a shared goal. Constructivism supports the idea that when students collaborate, they learn more since they are involved in the construction of their own knowledge by interacting with their peers and their lecturer.

Author(s): Jeremiah Madzimure