Статті в журналах з теми "Sudan Management Development and Productivity Centre"

This study reviews the agricultural development perspective in the light of a rapid space technology development. In other words, precision agriculture as part of geoinformatics. The aim is to quantify whether the adopted technology can improve the efficiency of agricultural fields management and production to attain food security. Therefore, views of targeted groups from different States of Sudan were investigated, using stratified sampling method. Where quantitative statistics (descriptive/inductive techniques) was applied. About 800 questionnaires were distributed. The outcomes of data analysis reflected that the majority of interviewed groups 357 (82.1%) do not know the principles and application of integrated technology in the field of agricultural management. 85.3% of respondents know nothing about computer program related to precision agriculture. The majority of the respondents (84.6 %), did not get courses on precision agriculture during the under graduate study. The result also revealed that only 11.8% of the respondents use modern techniques in land preparation, 16.1 % in soil analysis, 12.5 % in the field of seed technology, and 11.4% in crop harvesting. However, 53.9% of the respondents reported that their Departments did not care about training on agricultural precision. Nevertheless, 24.3 % of the respondents got trained on precision agriculture through personal efforts, while about 19% got trained by their respective Departments. In regard to education, 16% of the respondents got trained on precision agriculture at undergraduate and only 9% after graduation. The study concludes that despite the rapid technological development, agriculture in Sudan remained lagging, and the productivity is below the expectation. It recommends that the Ministries of Agriculture in different States in Sudan should take the issue of introduction of new technology seriously to boost the agricultural development to attain food security.

SUMMARYRice (Oryza sativa L.) is an important staple crop in South Sudan. Current rice consumption in the country is approximately 23,000 mg year−1 of which more than 75% is imported. We investigated farmers’ perceived rice production and productivity constraints and choice of rice ideotypes across rainfed and irrigated rice agro-ecologies in South Sudan to guide breeding and policy interventions. Data were gathered through participatory rural approaches and a formal structured survey involving 136 rice farmers from major rice growing areas of South Sudan. Farmers generally cultivated old rice varieties with low yields varying from 0.4 to 1.6 mg ha−1. Pair-wise ranking based on respondents score indicated yield, early maturity, cooking and eating quality, nutritional importance and drought tolerance as the most desirable traits of rice ideotypes. Further, imported rice varieties were best ranked for their sweet and appealing taste, rich aroma, grain shape and size, swelling capacity and non-stickiness during cooking. Major perceived constraints to rice production were unreliable rainfall, poor access to credit facilities, poor soil and water management practices, poor rice storage facilities, inadequate and poor processing machines as well as limited technical skills in rice production. The results show a need for integration of farmers’ and stakeholders’ preferences in variety development process and the desirability of releasing site-specific rice cultivars given the differences in bio-physical, socio-cultural and farmers preferences across major rice growing areas of South Sudan.

Maintaining profitability under conditions of limited water availability is a key issue facing dairy farmers in the Shepparton Irrigation Region. These farmers predominantly use border-check irrigation. Pressurised irrigation methods are seen as one option for increasing productivity from the limited water resources. This study reports on landowners’ perceptions towards the adoption of centre pivot and lateral move irrigators, based on survey and factor analysis. The survey was of 20 landowners using face-to-face interviews. Factor analysis was used to identify broad categories of benefits and barriers that best summarised farmers’ responses to survey questions. Improved farm management, productivity benefits, lifestyle benefits and improved marketability of farms were identified as the key benefits of adopting centre pivot and lateral move irrigators perceived by farmers. Capital cost, operation and maintenance costs, layout of the farm and unreliability of systems were seen as the key barriers. An understanding of these perceived benefits and barriers is the first step towards the development of extension information relating to the adoption of centre pivot and lateral move irrigation systems.

Energy security is one of the challenging issues hindering developmental progress in developing countries. Wind power as a renewable energy source can play a significant role in poverty reduction if adequate information is provided. In this study, multi-approach technics were applied for a better understanding of the wind energy potential in Jubek State, South Sudan. Geographic Information System (GIS), remote sensing, and mathematical equations were applied in identifying suitable locations, potential power per unit area, wind farm layout, design of appropriate turbine size, and utilization of wind energy in both agricultural and domestic sectors. Wind speed, land use land cover, and digital elevation maps of the study area were processed in ArcGIS, MATLAB (Weibull distribution), and Minitab software. The results show that 17,331.4 km2 (94.64%) of the study area is appropriate for wind power generation, with wind density of about 3.65 W/m2 and installation capacity about 19,757.79 MW, resulting in an annual energy production of about 7269.29 GWh. With the proposed wind turbine, one ton of various crops and animal products require 1–4 and 2–20 turbines, respectively. Therefore, the step-by-step procedures followed in this study will contribute to poverty reduction through improving agricultural productivity and food quality.

Abstract. The effects of development and the uncertainty of a changing climate in East Africa pose myriad challenges for water managers along the Blue Nile. Sudan's large irrigation potential, hydroelectric dams, and prime location within the basin mean that Sudan's water management decisions will have great social, economic and political implications within the region. At the same time, Sudan's water use options are constrained by tradeoffs between upstream irrigation developments and downstream hydropower facilities as well as by the country's commitments under existing or future transboundary water sharing agreements. Here, we present a model that can be applied to evaluate optimal allocation of surface water resources to irrigation and hydropower in the Sudanese portion of the Blue Nile. Hydrologic inputs are combined with agronomic and economic inputs to formulate an optimization model within the General Algebraic Modeling System (GAMS). A sensitivity analysis is performed by testing model response to a range of economic conditions and to changes in the volume and timing of hydrologic flows. Results indicate that changing hydroclimate inputs have the capacity to greatly influence the productivity of Sudan's water resources infrastructure. Results also show that the economically optimal volume of water consumption, and thus the importance of existing treaty constraints, is sensitive to the perceived value of agriculture relative to electricity as well as to changing hydrological conditions.

The author is Coordinator of Socio-Economic Studies at the Institute of Oceanography, Hellenic Centre for Marine Research, Ministry of Development - General Secretariat for Research and Technology (Athens, Greece). She holds a Bachelor's Degree in Economics (University of Piraeus, Greece), a Master's Degree (D.E. A) in Political Economy (Paris VIII and Paris VII University, France), a diploma on Information Technology (Greek Productivity Center EL.KE.PA with four-year studies as an Analyst-Programmer), and six months' training in the Directorate General for the Environment (EU, Brussels). She is currently finishing her Ph. D thesis on the economic evaluation method (Cost-Effectiveness Analysis - CEA) based on the European Water Framework Directive (University of the Aegean, Mytilini, Greece). Ms Zanou has participated in several EU projects and national studies on socio-economic and management issues.

The study investigated rural farmers’ readiness to access agricultural information from the National Farmers Helpline Centre NAERLS, ABU Zaria. The specific objectives were to describe the socio-economic characteristics of Nigerian rural farmers, identify the major agricultural information accessed by rural farmers from the National Farmers Helpline Centre and identify the various constraints faced by Nigerian rural farmers in accessing agricultural information from the National Farmers Helpline Centre. A random sampling technique was employed to select one thousand six hundred (1600) rural farmers across the six agro ecological zones from the National Farmers’ Helpline Centre Database who usually call the Farmers’ Help Line Centre of NAERLS, ABU Zaria. Percentage, and mean were used to analyse data. It was revealed that 61.2% who frequently accessed information from the National Farmers Helpline were male farmers belonging to the age group of 41 years and above (46.4%), married (75.6%) and having a household size of 6 – 10 persons (51.1%), with at least 11 – 30 years of farming experience. Thus, 45.6% of the respondents were involved in crop production while 37.5% were into animal husbandry, with the majority of them (46.9%) having acquired no form of formal education. Furthermore, the findings showed that the National Farmers Helpline Centre supplies the rural farmers with information on cultural practices (69.0%), pest and disease management (50.0%), weed management strategies (73.9%), marketing strategies (72.4%), farm tools and machineries (65.0%), seeds varieties and selection (88.9%) and information on government policies (89.0%). It was clearly identified that rural farmers are personally, Centre. Rural and urban farmers should be committed in accessing the readily available agricultural information for a productive and sustainable agricultural productivity, likewise, reliable means of information dissemination should be adopted by the National Farmers Helpline Centre so as to ensure that both rural and rural farmers benefit from the numerous agricultural information available. Infrastructural, resourcefully, mentally and managerially ready to access agricultural information from the National Farmers Helpline

The study investigated rural farmers’ readiness to access agricultural information from the National Farmers Helpline Centre NAERLS, ABU Zaria. The specific objectives were to describe the socio-economic characteristics of Nigerian rural farmers, identify the major agricultural information accessed by rural farmers from the National Farmers Helpline Centre and identify the various constraints faced by Nigerian rural farmers in accessing agricultural information from the National Farmers Helpline Centre. A random sampling technique was employed to select one thousand six hundred (1600) rural farmers across the six agro ecological zones from the National Farmers’ Helpline Centre Database who usually call the Farmers’ Help Line Centre of NAERLS, ABU Zaria. Percentage, and mean were used to analyse data. It was revealed that 61.2% who frequently accessed information from the National Farmers Helpline were male farmers belonging to the age group of 41 years and above (46.4%), married (75.6%) and having a household size of 6 – 10 persons (51.1%), with at least 11 – 30 years of farming experience. Thus, 45.6% of the respondents were involved in crop production while 37.5% were into animal husbandry, with the majority of them (46.9%) having acquired no form of formal education. Furthermore, the findings showed that the National Farmers Helpline Centre supplies the rural farmers with information on cultural practices (69.0%), pest and disease management (50.0%), weed management strategies (73.9%), marketing strategies (72.4%), farm tools and machineries (65.0%), seeds varieties and selection (88.9%) and information on government policies (89.0%). It was clearly identified that rural farmers are personally, infrastructural, resourcefully, mentally and managerially ready to access agricultural information from the National Farmers Helpline Centre. Rural and urban farmers should be committed in accessing the readily available agricultural information for a productive and sustainable agricultural productivity, likewise, reliable means of information dissemination should be adopted by the National Farmers Helpline Centre so as to ensure that both rural and rural farmers benefit from the numerous agricultural information available.

E-Agriculture is an emerging field focusing on the enhancement of agricultural and rural development through improved information and communication processes. The main phases of the agriculture industry are: Crop cultivation, Water management, Fertilizer Application, Pest management, Harvesting, Post harvest handling, Transporting of food/food products, Packaging, Food preservation, Food processing/value addition, Food quality management, Food safety, Food storage, marketing. ICT can play a significant role in maintaining the different properties of information as it consists of three main technologies- Computer Technology, CommunicationTechnology and Information Management Technology. There are different applications of ICT in Agriculture sector such as Office automation, Knowledge Management System ,E-learning, Ecommerce ,ICT for managing Agricultural Resources and Services ,CAM ,CAD ,RFIDs , Wireless Technologies ,GPS and GIS. There are certain initiatives taken by the Central Government for the development of agriculture. The Central Ministry of Agriculture and National Informatics Centre (NIC) emphasized Informatics for Agricultural Development. Its main aim is to create an environment conducive for raising the Farm productivity and income through provision of relevant information and services to the stakeholders Department of Agriculture and Cooperation

Abstract. The effects of development and the uncertainty of a changing climate in eastern Africa pose myriad challenges for water managers along the Blue Nile. Sudan's large irrigation potential, hydroelectric dams, and prime location within the basin mean that Sudan's water management decisions will have great social, economic and political implications for the region. At the same time, Sudan's water use options are constrained by tradeoffs between upstream irrigation developments and downstream hydropower facilities as well as by the country's commitments under existing or future transboundary water sharing agreements. Here, we present a model that can be applied to evaluate optimal allocation of surface water resources to irrigation and hydropower in the Sudanese portion of the Blue Nile. Hydrologic inputs are combined with agronomic and economic inputs to formulate an optimization model within the General Algebraic Modeling System (GAMS). A sensitivity analysis is performed by testing model response to a range of economic conditions and to changes in the volume and timing of hydrologic flows. Results indicate that changing hydroclimate inputs have the capacity to greatly influence the productivity of Sudan's water resource infrastructure. Results also show that the economically optimal volume of water consumption, and thus the importance of existing treaty constraints, is sensitive to the perceived value of agriculture relative to electricity as well as to changing hydrological conditions.

In today’s environment, it has become an important task to support and stimulate local economic development of communities to improve the living standards of the population and create sustainable and competitive community structures. The purpose of this study is to examine the system of management of local economic development of communities, which is becoming an increasingly important task in the context of social, economic, and political development of modern societies. The research has yielded the following results: using high-quality data from the publication Local economic development: Models, resources and financing tools, various models and approaches to managing local economic development of communities, including centralized and decentralized systems, as well as options for involving citizens in decision-making, were considered; using statistical sources of the Information and Analytical System for Monitoring Statistical and Administrative Indicators of Territorial Communities, Statistics Portal of Lithuania, Statistics Poland, a comparative analysis of local community development management systems in Ukraine, Poland, and Lithuania was carried out; the level of participation of citizens and stakeholders in decision-making processes and the development of local economic development strategies were analysed; the use of technology was assessed to improve the productivity of local economic development through ground research from the Centre for Innovation Development; the mechanisms of cooperation and coordination between different levels of government with the influence of factors were investigated and compared; territorial communities were analysed by region with regard to citizens’ appeals on the activities of local self-government bodies using statistical data from the website of the Government Contact Centre; recommendations and strategies for improving the system of local economic development management were developed. The study of the system of management of local economic development of communities is of great practical importance in modern conditions, where a favourable economic environment at the level of local communities is an important factor for improving the living standards of the population and creating sustainable and competitive community structures

Between April 2000 and March 2007, the Canadian Ecology Centre – Forestry Research Partnership funded, directed, or catalyzed approximately 145 projects. Most of these focused on knowledge and data acquisition, providing a solid foundation for a series of sensitivity and gap analyses to determine whether a long-term goal of enhancing productivity on 6 forest management units in Ontario was achievable, and more importantly, sustainable. A research strategy provided the focus for knowledge and data acquisition and the partnership facilitated integrated research, development, transfer, and implementation. Here we provide an overview of this effort, which is expected to position forest managers of the 6 forests to apply an adaptive management process to increase understanding of the response of their forests to various forest management policies and practices in the future. The strategy and approach described could be useful to other jurisdictions aiming to more closely integrate forest research and operations as well as those interested in implementing adaptive management. Key words: forest ecology, forest economics, forest inventory, forest management

This paper describes an investigation into alternative management models applied to public call centres operations with the aim of delivering significant added value to the overall public firm. Call centres offer significant potential for value creation. However, in practice they are often created as mechanistic organisations and managed in such a way is to inhibit value creation. An investigation in a UK city council was carried out through the means of a case study using both qualitative and quantitative methods to collect data from directors, middle-managers and employees to evaluate the development of a lean thinking type of call centre. The results indicate that by implementing the lean thinking approach to the design of call centre service operations significant, but often counter-intuitive, benefits can be created. Lean thinking was found to yield improvements in service performance, value work productivity, and employees’ affective commitment. Evidence on lean value-added to the public call centres is very limited, this paper addresses this shortcoming.

Expansion into new markets creates new opportunities and dynamics which could enhance a company’s growth prospects. It thus calls for scalable supply chain distribution systems in competitive marketplaces. The retail supply chain requires sustainable distribution systems to enhance cost efficiency. This study examined the influence of centralised, decentralised, or hybrid distribution systems on agile service delivery, productive human capacity and the supply chain process and technology. First, the study aimed to establish whether a centralised or decentralised supply chain distribution system supports expansion to the African marketplace. Secondly, this study assessed the challenges of inventory positioning and availability on the existing outbound and inbound product flow systems across the African continent. Thirdly, the study examined the interrelated strategic distribution centre performance level to develop the supply chain distribution value proposition model. A descriptive research design was employed using univariate and multivariate methods and data were gathered from 100 staff in an apparel company. The study found that a sound distribution centre requires efficient supply chain systems and a strong workforce. This calls for training and development of employees to improve the organisation’s productivity and efficiency. The managerial implications include the need to ensure that distribution centres support sustainable product availability.

<p>The study investigated the effect of head teachers’ support for teachers’ professional development on inclusive education implementation. Bartalanffy (1969) open systems advocates for head teachers to utilize management initiatives with partnerships to implement inclusive education. Descriptive survey was applied, and Chi-square tested the null hypothesis. Questionnaires were administered to 71 head teachers and 297 teachers, supplemented by document analysis. Interview was used on eight Quality Assurance Standards Officers (QASOs) and four Education Assessment Resource Centre Officers (EARCs). Quantitative data was coded and analyzed using descriptive statistics, and presented in frequency tables and bar graphs. Qualitative data was coded, transcribed and presented in narrative form. Both quantitative and qualitative data findings were discussed in juxtaposition with confirming or refuting the research evidence, and reinforcing the interpretation. The Chi-square results established that there was relationship between head teachers’ support for teachers’ professional development with inclusive education implementation. However, majority of head teachers and teachers lacked specialized skills in assessment of diverse learners, 77.5% and 80.5%; behaviour management, 74.7% and 79.1%; differentiated teaching, 80.3% and 81.1%, derailing teachers’ productivity and learners’ performance. Therefore, it was recommended that head teachers in collaboration with multi-agencies facilitate teachers’ inclusive education training in order to effectively implement inclusive education.</p>

The core issue for China’s economy to shift from high-speed growth to high-quality development is to raise total factor productivity (TFP). Based on the data of A-share listed companies from 2013 to 2017 and the air quality monitoring data released by the China National Environmental Monitoring Centre, this paper conducts an empirical test on the relationship between haze pollution, labor productivity, and firm-level TFP by using the mediation effect test model. The results show the following: First, haze pollution will reduce a firm’s TFP. Second, labor productivity plays a partial intermediary role between haze pollution and a firm’s TFP. Haze pollution will not only have a direct negative impact on a firm-level TFP but also reduce a firm-level TFP by reducing labor productivity. Subsequently, the robustness test was carried out by means of a substitution of independent variables and dependent variables, and the results all supported the hypotheses in this paper. In addition, the heterogeneity of the industry and the ownership of listed companies was analyzed, and the two-stage least squares (2SLS) method was used to solve the endogeneity problem. The conclusions of this paper are helpful to clarify the relationship between haze pollution, firm factor productivity, and firm-level TFP. The paper’s findings also provide a practical basis for firms to further improve TFP from the perspective of air pollution problems such as haze.

Human motivation is the centre of interest for many specialists in management because it is the activity that produces the most profound economic consequences for organizations. As employees become more involved in IT processes, traditional methods of motivation are no longer efficient, and so within this paper drastic changes in practices related to human resources can be seen. This article intends to identify and analyse the motivational profile of employees in simulated enterprises as well as develop a plan to measure motivation adapted to the Romanian socio-economic reality. Thus, managers should avoid common approaches in the development of programs, models, and policies to help motivate employees. This will allow them to be able to create a work environment that will allow employees to motivate themselves because extrinsic motivation can decrease productivity.

Indonesia faces unemployment and employment problems. In February 2021, the number of unemployed people aged 15 years and over in Indonesia reached 8.7 million. On the other hand, the Covid-19 pandemic has disrupted economic activity, uncertainty, and 6.4 million workers were forced to be laid off. The unemployment rate is one of the problems that Indonesia’s problems, especially during the Covid-19 pandemic. The government, through the Minister of Manpower, seeks to control the unemployment rate during the Covid-19 pandemic by conducting various competency and productivity-based training through Education and training programs organized by the Vocational Training Centre (BLK) and the development program for expanding job opportunities for workers or laborers affected by the pandemic. This study aims to describe the inhibiting factors during the implementation of automotive courses and how the impact of these inhibiting factors on the management of automotive courses in BLK in the future. Respondents consisted of 17 teachers and managers in the automotive sector BLK. Data was collected using a questionnaire in the form of a questionnaire tested using Product-moment Person, expert judgment, and Cronbach’s Alpha coefficient. The findings show that the inhibiting factors include the curriculum with 65.11%, teachers 54.67%, course participants 57.22%, managers 65.52%, facilities 78.31%, funds or budget of 54.12%, the government by 51.18%, and the community by 60.71%. The research was limited to teachers and BLK managers in the automotive sector in Yogyakarta. Furthermore, future research is expected to involve various parties involved and supporting factors outside the aspects that have been studied.

ABSTRACT Nutritional status in children under five is very important, if malnutrition occurs and if not treated immediately it will reduce the quality of human resources resulting in physical disorders, impaired intelligence and productivity. The COVID-19 pandemic increases the risk of an increase in the prevalence of stunting. The purpose of this study was to analyze the nutritional management of stunting toddlers during the COVID-19 pandemic using the Analytic Hierarchy Process (AHP) method at the X Health centre, Bengkalis Regency based on input, process and output components. Method: This study used a qualitative approach using the analytic hierarchy process method. Data collection methods were carried out by in-depth interviews and observations to 15 informants, consisting of the administrative head of the Health Centre, nutrition officers, MCH coordinator midwife, village midwife, posyandu cadres and mothers of stunting toddlers. Result: showed that at the input stage, health workers such as TPG and village midwives had met the competency requirements, there were no special appointments for stunting cadres and specific technical guidelines for stunting management, as well as the lack of infrastructure for monitoring growth and development in Posyandu. Implemented properly include antenatal care, supplementary feeding, vitamin A administration, the coverage of which is still low is exclusive breastfeeding and visits to Posyandu. In the output element, the prevalence of stunting at the X Health Center in 2020 reached 15.02%Keyword : AHP, Management of stunting, Covid 19

The primary goal of all those working in the field of sustainable water management, particularly in the arid and semi-arid zones, is to increase irrigation efficiency, reduce irrigation water losses, and improve water productivity for all crops. This study assessed the automatic irrigation scheduling and irrigation management on the growth, yield, and water productivity of cucumber under greenhouse conditions. A field experiment was conducted using cucumber grown in aplastic greenhouse during the winter of 2017/18 and 2018/19 at the research farm station of the National Research Centre (NRC), El-Noubaria Region, Behaira Governorate, Egypt. In a split-plot experiment, two different methods to control irrigation scheduling (manual control (MC) and automatic control (AC)) were used in the main plots and three deficit irrigation treatments (100% of full irrigation (FI), 80% of FI, and 60% of FI). Through the obtained results, it was found that the use of the automatic control of the irrigation schedule led to an improvement in the productivity and quality characteristics of the cucumber crop. Automatic irrigation control created healthy conditions for the plant roots located under the least water stress. This led to an increase in nitrogen uptake at the ages of 3, 5, 7, and 9 weeks after planting in addition to improving the total leaf area and the chlorophyll content of leaves, which consequently had a greater effect on increasing yield and water productivity of cucumber. Although the highest values of cucumber productivity were obtained with irrigation at 100% of FI, there were no significant differences between 100% FI and 80% of FI, therefore it is preferable to irrigate at 80% of FI, and this means saving 20% of irrigation water that can be used to irrigate other areas. The SALTMED model simulating all of the following evaluation criteria performed well for soil moisture content and N-uptake as well as the leaves area, the yield, and water productivity of cucumber for all treatments for the two growing seasons 2017/18 and 2018/19, with the overall R2 of 0.882, 0.903, 0.975, 0.907, and 0.933, respectively.

<p>Literature on the relationship between performance contracting and employee commitment in tertiary special needs institutions in Kenya is dearth. In addition to this, majority of these past researchers who have attempted to investigate these variables have concentrated on performance contracting implementations in state corporations with few studies done on its effectiveness on service delivery in tertiary institutions. This study therefore sought to investigate the link between performance contracting and employee commitment using cross sectional survey research design. Data was mainly collected from primary and secondary sources and was analyzed via SPSS after cleaning and coding. The study found employee commitment to positively affect performance contracting. The study also found a positive relationship between employee commitment, performance contracting (r=0.159), employee productivity (r=0.147) and performance contracting to positively and significantly (p=.000) employee commitment. The study recommends that the institute’s board of governors should develop and put to use an effective performance management policy document that will synchronize performance based system with employee commitments for the overall organizational development.</p>

Geometric increase in population coupled with rapid urbanization, industrialization and agricultural development are causing increased pressure on global water resources. Agriculture is the largest consumer of fresh water resources, thus the scope of enhancing water productivity in agriculture is taken to be the priority area of research. The right amount and frequency of irrigation is essential for optimum use of limited water resources for crop production as well as management. A field experiment with split plot design was carried out during November to February 2015-16 at PFDC (Precision Farming Development Centre), Water Technology Centre, IARI, New Delhi to study the effect of different irrigation levels and frequencies on Broccoli (Brassica oleracea var. italica) under drip irrigation. The experiment included three levels of irrigation frequencies: N1 (once every day), N2 (once every 2 days) and N3 (once every 3 days) with different irrigation levels of 100, 80 and 60 % of crop evapotranspiration (ETc). Results revealed that drip irrigation frequency significantly (p<0.05) affected the broccoli yield. The maximum yield (24.46±0.18 t/ha) was obtained with 80% of ETc with once in 2 days irrigation followed by 100% of ETc with once in 2 days. Lowest yield (16.53±0.1 t/ha) was obtained at 60% of ETc at once in 3 days irrigation. Overall, it was observed that irrigation on 80% of ETc with once in two days is an appropriate cycle for optimum yield of broccoli.

Acid dry land can become a centre for soybean production through improved cultivation techniques and the use of improved varieties that are acid-tolerant. In connection with this problem, research has been carried out to evaluate the effect of the application of organic fertilizers, inorganic fertilizers, and biological fertilizers on soybean productivity in acid soils. The experiment was conducted in a screen house at Iletri, Malang, East Java, using acid dry soil from Banten, West Java. The soybean seed used in this research was Wilis variety. The evaluated treatments were a combination of types and quantities of nutrient-rich organic fertilizer with acid formula (Santap-M), NPKS Phonska inorganic fertilizer, and biological fertilizer (Iletrisoy Rhizobium<em> </em>and <em>Pseudomonas sp</em> P-solubilizing bacteria, both were Iletri collections). The results showed that the addition of organic and inorganic NPKS fertilizers on acid soils could increase soybean productivity and the population of P-solubilizing bacteria <em>Pseudomonas sp.</em> The recommended alternative technology component for improving soybean productivity and Banten acid soil is a combination of 1500 kg Santap-M nutrient-rich organic fertilizer + 150 kg Phonska/ha. The results of this study add to the positive list that use of organic fertilizers and inorganic fertilizers NPKS is an alternative option that needs to be considered for sustainable soybean cultivation in acid dry land.

The present study was initiated show that the best feed sourcing for animal production could crop-livestock under rangeland conditions of arid environment within the Nile basin ecosystem. For crop-livestock production systems, livestock water productivity (LWP) was used to indicate water utilized by the animal converted to useful products. Parameters measured were: biomass availability from rangelands and crop residues, supply versus demand for the different animal species and treated crop residues to improve animal performance. Trends in rangeland productivity, crop residue biomass and animal’s number and herd structure were measured through the years 2014 – 2018 in seven localities of Sennar state. Total biomass in the form of crop residues and biomass from range was calculated to determine the livestock demands during the dry season; this was done by utilizing Tropical livestock unit (TLU) equivalents and basal metabolic rates. Rangeland status was estimated using remote sensing. using multiple sets of Sentinel-2 and Landsat images (in case of cloud cover in the Sentinel-2 image). Crop production was projected for the summer season from the ‘Ministry of Agriculture’, Further available crop residues were calculated as: 1kg sorghum seed gives 3kg sorghum straw, 1kg millet seed gives 3 kg straw, 1kg ground nut pod gives 2kg straw. The biomass demand was calculated based on the data from Arab Organisation for Agricultural Development that annual animal unit demand is 2.4 tons. This was translated to the biomass demand of approximately 6.5 kg per day per animal unit. The International Livestock Research Institute (ILRI) estimation of animal maintenance energy of 11,000 Kcal per LTU per day for grazing cattle in Africa, for maintenance energy, would require about 5 kg per tropical livestock unit per day of feed for maintenance. The amount of evapotranspiration required to produce this feed would be about 1.25 cubic meters per TLU per day or 450 cubic meters per tropical livestock unit per year. This compares with 25–50 liters a day or 9–18 cubic meters per tropical livestock unit per year for drinking water. Hence for each locality biomass demand was calculated as: No. of AU in the locality x 6.5 kg dry matter/day. Animal experimentation utilized 2 dairy goats fed with straws treated with 5% urea and Student t-test was used to obtain the significance between the control and treated animals. The results showed that contribution of crop residue to the biomass was very important and increased over the years for Abu Hougar it was maintained around 90%, for El Dali increased from 3% to 888% in year 2018. For El Dinder, El Souki and Sinnar increased to reach 454%, 775%, 219% respectively in the year 2018. However, Singa showed a decline in crop residue from 526 to 163%. Availability of the biomass showed high variability among the localities. Animal’s number changed slightly over the years. Except for Sharg Sinnar. Sheep population was the highest while camels were the lowest in all localities, but herd structure was not the same where cattle, sheep and goats were comparable at El Souki and Singa. Camels and goats were comparable in El Dinder only. Abu Hougar and El Dali showed lower population of cattle and goats. At Sinnar, goats and cattle population was nearly the same. Sharg Sinnar showed comparable ratios for sheep, cattle and goats. As for animal experimentation where dairy goats were used to test the crop residue treated with urea on food intake and milk yield, it was found that while food intake decreased significantly (P<0.05), milk yield increased significantly (P<0.001). It could be concluded that for crop livestock-water ecological system, crop residues as feed sourcing is considered the optimum biomass supply for animals during the summer season where there is no additional water is required, livestock water productivity (LWP) could be increased with better management of soildegradation, water runoff and rangeland conservation.

The modern development of an enterprise is possible only on the basis of marketing since the enterprise is effective only in case of its usefulness for consumers, the relation with which is one of the main marketing functions, i.e., marketing is a philosophy of management. The purpose of the paper is to study the theoretical background and practice of interaction of image and brand of an enterprise on the basis of marketing as a philosophy of management. Methodology. Approbation of the results is presented on the example of business projects for 2017 and 2018 of enterprises with different business scales in Kharkiv and Kharkiv region of Ukraine: small – the Centre for Child Development “Cute Kids”, medium – Association of Confectionery Enterprises “Solodkyi Svit” (“Sweet World”), large – Turboatom JSC, by means of research methods: theoretical generalization, system approach, expert estimation method. Results. The work results are the development of methodological approach to evaluating the effectiveness of the marketing department in the process of business management at the enterprise, taking into account the enterprise value and brand value for large industrial enterprises, the peculiarity of which is the ability to investigate the relationship between the effectiveness of the development of the marketing department (organizational and managerial aspect) and the performance of its divisions (economic aspect) and take into account the identified causal relationships in the process of enterprise activity. The system for evaluating the performance of the marketing department, taking into account enterprise value and brand value, involves two levels of assessment: the first one allows determining its performance in general, that is, the effectiveness of its development, the second one takes into account the specifics of divisions of this department of the enterprise and allows determining their performance according to individual results, that is, the effectiveness of divisions, which is reflected in the basic social and economic performance indicators of the enterprise. The effectiveness of the development of the marketing department is evaluated using the following indicators: development trend ratio, marketing efficiency ratio, management process productivity ratio, division productivity ratio, and executive efficiency ratio. The calculation is based on individual indicators: an integral indicator of the effectiveness of the development of the marketing department, which is calculated by the normalized part of the indicators for additive convolution, taking into account their ratios of significance, and by performance indicators of marketing research division (sales volume, market share, building market strength), the work of the business development division is evaluated using indicators (“corporate image”, “enterprise competitiveness”, “profit”, “consumer readiness”, “partner’s business attractiveness”), communication division (trade turnover, information base update, development of partner relations, brand value), which are interrelated, interdependent, reveal the essence of determining the performance of the marketing department at different angles, allow justifying the adjustment of certain aspects of marketing development at the enterprise, and are calculated as arithmetic mean values of performance indicators of the divisions. Conclusions. Practical approbation of the proposed approach is presented on the example of large industrial enterprise named Turboatom JSC and confirms the practical value of the worked out approach to evaluating the performance of the marketing department in the process of managing the activities of an industrial enterprise, taking into account enterprise value and brand value.

Abstract. In Khartoum/Sudan the consumption of water per capita in urban areas far below the real need and WHO standard and huge volume of untreated municipal wastes water and industrial waste is discharged directly to an upstream from the town’s sewage water and treatment plants. Only 5% of resident received waste water treatment services, and 95% of waste discharge in unregulated dumps and injected into ground, these leading to pollution of the atmosphere, surface and ground waters, and poses a serious environmental hazard downstream. The main objective of this paper to Simulate pollutant produce from water sector demands being prime indicators of water and environment challenge, using WEAP model, and GIS software.The methodology used in this study to identified appropriate indicators and creates a model that represents water resource status, and pollution generator sectors for a specific system boundary.Khartoum satellite Landsat Mosaic Image (copy write), and Digital elevation model, (DEM) for Sudan, from Global ESRI map, and Land cover map, acquired from Sudanese remote sensing and seismology authority are used in this study to create maps.The Basin Catchment model WEAP21 system scenarios with Remote Sensing, and GIS predicted response and evaluated water deterioration risk quantity and quality related to river Nile catchment area in Khartoum. The model software selected provides decision makers with watershed environmental response factors, with allocation for sustainable water concern lower River Nile catchments.The model approach across user was taken into consideration to ensure withdrawals, assumed improvement in consumption, researcher assumed building a reservoir to improve quality, and reduces people suffering from water shortage, building expansion to reform waste, with reference time from 2015 and projected year by 2030.To fulfill objectives the models was used for pollutant transport from upstream to watershed, to evaluate the effect of applying alternative management practices by development of different Scenarios.Water quality data are collected from Ground water central laboratories, also from Khartoum state data base center. While Waste water data collected from waste water treatment plants in the towns, and from constructional and environmental laboratories, centre. Also, field samples were collected from discharge point in lagoons near river shore and from the cross point of discharge into the river. The study result show how satellite technology combined with local monitoring, GIS, and advanced modeling system can be used to investigate the improved accuracy of the model results, and to improve operations and performance of service providers downstream. The result indicated that scenarios can be developed to explore options for the future and sustainability, and implication of various policies can evaluated. For environmental carrying capacities, the model results indicated that, 90% of water consuming by sector demands end at the receptors as waste water need to be treated. The pollutant load produced by those waste water treatment plants were measured and simulated including pollutant (BOD, COD, TSS, Phosphate, Nitrate, Total organic carbon, heavy metals (Pb, Cr, Zn, Cu), which in turn affects the quality of water resources available for direct use. The improvements in water collection systems affect water supply and wastewater treatment, while the improvement in waste water treatment plants after built new environmental expansion and technology may reduce the flow of waste water to receptors 50% by 2030. In order to ensure a long term development of water resources, and to avoid water becoming a limiting factor in the development of dependent activities, we recommend that country should develop environmental pollution reform and management policy based on an integrated management which associates management of surface and underground waters, qualitative and quantitative measures and management of use by various water sector.

Introduction. The study of the genetic structure of the goat population by candidate genes associated with indicators of animal development and milk productivity is a promising direction, because the developing industry requires the introduction of advanced research methods. The use of methods of molecular genetic analysis can supplement breeding work to create optimally productive herds. In this connection, research is actively being conducted to study the influence of milk protein and hormone gene polymorphisms on milk productivity. Materials and methods of research. This work was carried out as a search for molecular genetic markers of productive traits in goat breeding, based on research in the world scientific literature on this topic. Research results. Goat breeding is an important branch of world animal husbandry. Goats are bred in all parts of the world, but the distribution of breeds in terms of productivity varies depending on the consumption tradition. For example, Europe is characterized by a predominance of dairy breeds, in Asia combined breeds, and in Africa meat breeds of goats are most often bred. The largest population of goats is kept in Asia and Africa. Significant producers of goat milk in the world are India, Bangladesh, Pakistan and Sudan. Global production of goat meat has increased by 41.66% over the past few years. Asia has the largest contribution to total meat production (70.7%). The leader in meat production is China, which produces 35.89% of goat meat from the entire world production. Goat breeding is widespread due to the ability of small cattle to easily adapt to different management systems and the ability to adapt to various climatic conditions and features of the terrain. A review of the world scientific literature confirms the fact that countries with significant demographic growth are most interested in selection work in goat breeding, taking into account genotyping by allelic variants of candidate genes for productive traits. Conclusions. As a result of the work, two proteins associated with quality indicators of milk were selected as candidate genes for productive traits: kappa-casein and beta-lactoglobulin, and two hormones that indirectly affect the growth and development of animals: leptin and somatotropin. The article briefly describes their functions in the body and the localization of the corresponding loci in the genome of animals. These markers are widely used for researching populations of cattle, goats and sheep in the world. This search for molecular genetic markers is aimed at carrying out similar studies in Ukraine to promote selection work in goat breeding.

Employee executes precarious responsibilities for the subsistence of the organisation unrelatedly to any gender differences. Management seems to be more than it has ever been at the centre of handling workforce diversity as they structure their businesses to meet rapidly changing business needs and individual expectations. Indeed, corporate leaders who want to improve labour productivity think about workforce diversity. It is because they regard diversity as a massive corporate concern whose limitations have a consequence on their employee performance, firm&#39;s growth and profitability. This study looks at five different aspects of gender discrimination: hiring/recruitment discrimination, training &amp; Development discrimination, Provision of goods and Facilities discrimination, retention discrimination, and Promotion discrimination. 261 telecom industry employees in the UAE collected data better to understand the consequences of gender-based human resource practices on employee performance. The data was analysed, and hypothesis testing was done using linear regression. The theoretical model and hypothesis were tested using SPSS version 22. According to the findings, discrimination based on gender has a substantial impact on employee performance. This empirical evidence offers Human Resource researchers and managers advice for preventing discriminatory practices that negatively impact employee performance.

Over the past few decades, there has been a significant development in the technology industry. Major technological advances like the Internet and automation are now the centre of attention. Technology that can perform significant tasks that were previously thought to be impossible has already been invented by humans. One of the most cutting-edge technologies that enable humans to copy and carry out a range of jobs is artificial intelligence. This paper focuses on the role of artificial intelligence in computer networks. One must first understand the ideas related to artificial intelligence and networks in order to properly understand what artificial intelligence is and how it functions in computer networks. AI networking has the potential to significantly increase productivity by upending established traditional networking practices.Artificial intelligence networking is an evolution of AIOps (AI for IT operations) that focuses on ongoing management, maintenance and optimization of a network. It combines AI with networking infrastructure to automate and optimize IT operations. Where AIOps has a broader focus on the information and operations (I&O) infrastructure level, AI networking is specific to the networking domain (data center switching, wired, wireless, LAN, WAN, SD-WAN, multicloud).

Over the past few decades, there has been a significant development in the technology industry. Major technological advances like the Internet and automation are now the centre of attention. Technology that can perform significant tasks that were previously thought to be impossible has already been invented by humans. One of the most cutting-edge technologies that enable humans to copy and carry out a range of jobs is artificial intelligence. This paper focuses on the role of artificial intelligence in computer networks. One must first understand the ideas related to artificial intelligence and networks in order to properly understand what artificial intelligence is and how it functions in computer networks. AI networking has the potential to significantly increase productivity by upending established traditional networking practices.Artificial intelligence networking is an evolution of AIOps (AI for IT operations) that focuses on ongoing management, maintenance and optimization of a network. It combines AI with networking infrastructure to automate and optimize IT operations. Where AIOps has a broader focus on the information and operations (I&O) infrastructure level, AI networking is specific to the networking domain (data center switching, wired, wireless, LAN, WAN, SD-WAN, multicloud).

Abstract. The development of the honeybee colony depends on the availability of pollen and nectar in nature. The nutritional needs of worker bees are supplied from nectar carbohydrates, proteins and other nutrients in the bee pollen. Proper management of the honey bees is very important for successful beekeeping. Some seasonal changes bring about variations in the availability of pollen and nectar for the bees. In this respect, the aim of the study was to determine the influence of Mikro Veda Care Apis® preparation on the development of bee colonies during the spring feeding. The experiment was conducted during the period 11 Apr 2019 – 10 June 2019 at the Experimental Apiary of the Research Centre of Stockbreeding and Agriculture – Smolyan, Bulgaria. The control group was fed with sugar solution (ratio sugar to water-1:1 ) without additives and the experimental group was fed with the product Mikro Veda Care Apis® at a dose of 10 ml/L sugar solution (ratio sugar to water-1:1). The bee colonies that received Mikro Veda Care Apis® have significant differences for the parameters strength of the bee colonies and sealed worker bee brood on 17 May 2019 and 10 June 2019 compared to the control group. We expect our study to be a starting point for a deeper understanding of productivity of the bee colonies during the spring feeding with the addition of Mikro Veda Care Apis®.

Although the Internet of Things (IoT), advanced manufacturing technologies, and cloud manufacturing contribute to developing a digital manufacturing ecosystem that enhances energy efficiency and resource utilization, manufacturing processes are vulnerable to timely production and delivery. The digital manufacturing systems in Industrial Revolution 4.0 (IR 4.0) minimized the human-technology interactions to foster productivity and material flow. However, there is scarce research to gauge the efficiency of these digital technologies in the entire manufacturing process; also, little is known about the collaborative efforts among countries to achieve sustainable manufacturing performance through the digitalization of the production process. Thus, this systematic review aimed to highlight the effectiveness of the digital manufacturing systems for sustainable product development and the collaborative research on the subject. We selected 52 research articles for this review by following the 2015 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) statement. The literature classifications were developed using text frequency algorithms in VOSviewer (Centre for Science and Technology Studies, Leiden University, The Netherlands) Results exposed literature from 2005 to 2020 can be categorized into four major research streams: digital transformation, digital manufacturing ecosystem, performance management, and sustainability. The study’s findings revealed that the manufacturing processes are moving towards the IoT, digital devices, and smart factories that are entirely dependent on digital technologies. The digital manufacturing ecosystem is dependent on the availability of digital technologies to all stakeholders. The study concluded that digital technologies are improving manufacturing efficiency and process effectiveness. However, this requires infrastructure that primarily available in developed countries; thus, the digital transformation in underdeveloped regions is deliberate and requires more collaborative research.

Over the past decade, high-speed machining (HSM) has provided a step change in productivity for the manufacture of moulds and dies, particularly those made from tool steels in the fully hardened state. Advantages include reduced machining times and costs and favourable workpiece surface integrity. The knowledge and expertise that have been generated in academia and industry are widespread and important for the efficient utilization of HSM. Following a survey of relevant publications, the present paper details the development of an integrated system for the HSM of moulds and dies. This included the design and implementation of a knowledge-based system (KBS) and a chatter detection and control system. The main modules of the KBS related to machine tools, cutting tools and machinability data, toolholders, cutter path strategies and troubleshooting, together with a database management centre. Ranking techniques were employed with combined weighing factors, together with tool rationalization and reduction strategies, fuzzy logic and machinability data optimization. The chatter detection and control system utilized a microphone to detect chatter and employed online spindle speed and feed rate modification strategies for its suppression. The system was capable of being interfaced with the KBS in order to transfer and store local knowledge unique to a particular toolmaker's operations.

Digital transformation of the economy is a global trend. Digitalization has become a strategic priority for most companies no matter which industry they belong to, which form of property they are and how specific their business is. The article presents strategic priorities of digital transformation of Kuzbass coal industry. These priorities are part of ‘Strategy for social and economic development of the Kemerovo region (Kuzbass) up to 2035 and for longer perspective’ developed under the guidance and according to methodology of Dr. V.L. Kvint. Strategic analysis of world leaders’ activity in mining industry has shown that the first step to digitalization is connected with changes in the strategic management system and creating a digital transformation centre. The authors define the levels of digitalization of a mining company: automated production, digital flow control, “clever production”. The basic strategic priorities of digitalization of coal industry of Kuzbass are automated dispatching systems, equipment reliability management, energy efficiency of production, robotization, digital modeling, industrial labour safety and security. Coal industry enterprises create their own way of digital transformation and determine the list of essential digital technologies by themselves. Kuzbass coal industry will become the largest regional individual buyer of innovations and technical decisions in the nearest perspective. Digital transformation of coal industry will help automate the industrial process, increase labour and equipment productivity, and raise the level of industrial and environmental security and the industry’s efficiency indexes, and improve the life quality of employees and people of Kuzbass.

The course was organized by the Islamic Development U.K., in cooperationwith the Islamic Development Bank, Jeddah, Saudi Arabia, andLoughborough University, Loughborough, U.K. More than 100 guestspeakers, organizers, and participants attended.The participants were very active in panel discussions. The topicsincluded Islamic banking and fm ance, Islamic economics, economicdevelopment from the Islamic perspective, the creation of money, therationale of prohibiting interest and its prohibition in western literature,debt, equity, Islamic fund management, the role of zakat in the eradicationof poverty, Islamic finance in the West, and the new halal investmentcompany in Europe. As a starting point, Dr. Umer Chapra presented a paper on the presentstate of Islamic economics. He emphasized the importance of economicsin explaining the fall of Muslim power. He also pointed out the effect ofIslamic values and institutions, including zakat and the abolition of interest.He added that now it is time to solve the practical problems that theMuslim countries are facing and also to show ways of realizing theIslamic vision of a society where development is taking place with justice.Dr. Monawar Iqbal talked about the rationale of Islamic banking andthe services that people are in need of, e.g., investment in the form ofmudarabah, musharakah, and murabah.Attention was juid to the following features of Islamic banking: risksharing, productivity as compared to credit worthiness, moral dimension,equity, efficiency, stability, and growth.The experience of Islamic banking in Pakistan, Iran, and Sudan wasdiscussed. In addition, there was a discussion on multinational entities(e.g., Islamic Development Bank). Dr. Iqbal emphasized the major problemsfacing Islamic banking such as lack of profit sharing on the assetside, adverse selection, moral hazard, lack of project appraisal machinery,lack of project monitering, defaulters and the issue of penalties,illogicality of the Islamic financial market, short-term asset structure,excess liquidity, short-term placement of funds, lack of a lender of lastresort, difficulties in issuing letters of guarantee, and taxation.Despite these problems, 192 Islamic banks were operating by the endof 1996. An analysis of 166 of these banks was made by Dr. SamirShaikh, who described their current profile and showed that their netprofit in 1996 was $1,683,648. On the suggestion of Dr. Tarigullah Khanthe principles of Islamic finance were grouped into the following categories:benevolence, sharing principle, deferred sale-principle, andsharing-cum-deferred sale ...

The rapid development of non-parametric machine learning methods, such as random forest (RF), extreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM), provide new methods to predict the site index (SI). However, few studies used these methods for SI modeling of Masson pine, and there is a lack of comparison of model performances. The purpose of this study was to compare the performance of different modeling approaches and the variability between models with different variables. We used 84 samples from the Guangxi Tropical Forestry Experimental Centre. Five-fold cross-validation was used and linear regression models were established to assess the relationship between the dominant height of the stand and different types of variables. The optimal model was used to predict the SI. The results show that the LightGBM model had the highest accuracy. The root mean square error (RMSE) was 3.4055 m, the relative RMSE (RMSE%) was 20.95, the mean absolute error (MAE) was 2.4189 m, and the coefficient of determination (R2) was 0.5685. The model with climatic and soil chemical variables had an RMSE of 2.7507 m, an RMSE% of 17.18, an MAE of 2.0630 m, and an R2 of 0.6720. The soil physicochemical properties were the most important factors affecting the SI, whereas the ability of the climatic factors to explain the variability in the SI in a given range was relatively low. The results indicate that the LightGBM is an excellent SI estimation method. It has higher efficiency and prediction accuracy than the other methods, and it considers the key factors determining site productivity. Adding climate and soil chemical variables to the model improves the prediction accuracy of the SI and the ability to evaluate site productivity. The proposed Masson pine SI model explains 67.2% of the SI variability. The model is suitable for the scientific management of unevenly aged Masson pine plantations.

Elevating plant diversity and functional group composition amount in the swards may contribute to lower N fertiliser use. The excessive use of fertilisers in agriculture is one of the causes of environmental pollution issues. We investigated the effects of plant diversity, functional community composition, and fertilisation on the dry matter yield and its quality at the Lithuanian Research Centre for Agriculture and Forestry, Central Lithuania. The study aimed to determine the productivity potential of single-species and multi-species swards with three, four, six, and eight plant species in the mixtures including four grasses and four legumes. Two experimental backgrounds were used with N0 and N150 kg ha−1 yr−1 for all treatments. In the two-year experiment manipulating species richness and functional group diversity had a positive effect on the dry matter yield and produced better quality of the forage when compared with single-species swards. Crude protein in the forage of grass–legume mixtures was significantly greater than for grass monocultures. Investigating fertilisation background was a concern; it had a positive effect on the single-species sward yield but decreased the yield of multi-species swards.

Multifunctional agriculture could be strategic for the recovery of some mountain areas of the Alps, and traditional crops like cereals generated study cases that triggered processes of development, such as rye in Camonica Valley (Northern Italy). However, farmers are often newcomers, and the specificities of low input agriculture make the training in agriculture fundamental. The impact of public workshops/seminars (organized by the Ge.S.Di.Mont. Research Centre of the University of Milan in Camonica Valley) on cereal cultivation between 2016 and 2021 was investigated. Moreover, rye produced in Camonica Valley was analyzed. The results show an increase in participation and a wider use of the streaming service. The percentage of participants not from an agricultural background had always remained about 50%, but decreased to 15.17% ± 5.07 in 2021, in contrast to the increase of professionals in agriculture and forestry. This is probably due to the accreditation of training activities for agronomists and foresters, and to the start of specific training projects regarding cereals. Samples of rye produced in Camonica Valley following the period of training activities were phytochemically/nutritionally characterized and compared to commercial rye. Locally produced rye proved to be comparable to the commercial one; however it showed a remarkable unevenness in secondary metabolite content and productivity, due to environmental differences and diverse agro-techniques.

Cotton is one of the most important cash crops in Ethiopia and plays a significant role in the agricultural and textile industrial development of the country’s economy. However, the progress in cotton production and productivity in rain-fed environments has been impeded by the absence of improved varieties and inadequate management practices. Presently, there are no recommended cotton varieties specifically tailored for rain-fed environments in northwestern Ethiopia, an area that is largely conducive to cotton cultivation. Interestingly, some investors have chosen to cultivate genotypes that have been recommended for irrigation purposes, particularly within the central Rift Valley of Ethiopia. In the current investigation, an assessment was conducted on various cotton varieties in order to determine their quantitative traits during the primary cultivation period of 2017/2018 at Pawe Agricultural Research Centre. The objective of the experiment was to assess seven cotton genotypes using a randomized complete block design, with the aim of identifying genotypes that are highly adaptable and possess high-yielding characteristics. The statistical analysis of variance demonstrated a significant distinction among the traits that were examined. Within this study, the most productive genotypes were identified as Werer-05 and Candia, with yields of 1722.19 kg/ha and 1617.41 kg/ha, respectively. The observed variations in the characteristics of the various cotton varieties indicate the presence of diversity, which holds significant implications for future cotton breeding.

Research has shown a strong correlation between the performance and health of young students and teachers, and the indoor environmental quality (IEQ) of their schools. A post occupancy evaluation (POE) of a school’s IEQ can help stakeholders understand the current conditions of the building and their impact on occupant wellbeing and productivity. It can also provide pathways for building performance upgrades and resource allocation for school administrations. However, current research on POE in schools frequently omits the contexts of young students during evaluations. Furthermore, there is limited research on guidelines for performing POE and measurements in school facilities. This study adopted the National Environmental Assessment Toolkit (NEAT) and tailored qualitative methods to evaluate eight schools over an eight-year period. The methodology was refined throughout the study to develop a protocol for robust investigation of IEQ conditions in schools. The NEAT was developed by Carnegie Mellon University’s Centre for Building Performance and Diagnostics for measuring the IEQ of office buildings. The paper addresses the challenges that may occur during POE and measurements (POE+M) and the differences between POE+M for offices and schools. It also determines how the POE+M process can be efficiently implemented to include all primary stakeholders in order to improve data collection for IEQ and energy efficiency analysis.

Sorghum (Sorghum bicolor (L.) Moench) and pearl millet (Pennisetum glaucum (L.) R. Br.), ranking fifth and sixth in global cereal hectarage, respectively, are the most important coarse-grain cereals in the semi-arid tropical regions of Asia and Africa. Pearl millet displays better adaptation to and is grown in relatively more marginal environments than sorghum. Under subsistence farming conditions, both crops have low grain yields (0.5-0.7 t·ha-1 for pearl millet and 0.7-0.9 t·ha-1 for sorghum), although improved hybrid cultivars give 3-4 t·ha-1 of realizable grain yields in better-endowed environments. African germplasm, especially Zera Zera sorghums from the Sudan-Ethiopian border in eastern Africa and Iniari pearl millets from the Togo - Ghana - Benin - Burkina Faso region of western Africa, has proved most useful for the genetic improvement of these crops. The greatest impact of improved cultivars (mostly hybrids) has occurred in India, where the area under high-yielding varieties (HYVs) increased from 6% for pearl millet and 3% for sorghum in the triennium 1968-1970 to 53% for pearl millet and 54% for sorghum in the triennium 1992-1994. During the same period, productivity of both crops increased by 59%, which is attributable to both genetic improvement and management factors. HYVs have now started to be adopted in some of the African countries as well (e.g., Chad, Cameroon, Botswana, and Zimbabwe for sorghum; Chad, Namibia, Zambia, and Zimbabwe for pearl millet). The availability of vast untapped genetic resources and continuing yield gains indicate that there are good prospects for future genetic improvement in the productivity of these crops, which can be accelerated with the application of biotechnological tools. Sorghum and pearl millet will continue to be important food crops in their traditional semi-arid tropical areas. Sorghum is already an important feed crop in the developed world and pearl millet has the potential to become an even better feed crop, as it has higher protein content and a better amino acid profile than sorghum. The nutritional value of both crops for food and feed use can be further improved by breeding. Also, through genetic enhancement, there exist opportunities for the development of sorghum and pearl millet cultivars suitable for alternative uses in the bakery and beverage industries.Key words: sorghum, Sorghum bicolor, pearl millet, Pennisetum glaucum, genetic enhancement, semi-arid tropics, Asia, Africa, cultivars, impact.

This study addresses desertification in Kazakhstan's Akdala region, aiming to propose sustainable solutions by examining the effects of various plants on soil properties and nutrient dynamics. Desertification poses a threat to land productivity in arid areas, and this research aims to determine its impact on soil and identify plants for mitigation. Field experiments over three years in the Akdala region utilized crops such as rice, corn, soybean, sudan grass, and sorghum to assess their influence on key soil parameters. Results revealed diverse effects on soil bulk density, agronomically valuable aggregates, water-stable aggregates, labile and total organic carbon, easily hydrolyzable nitrogen, nitrate, available phosphorus, and exchangeable potassium. While no significant differences in bulk density were observed among crops, variations in surface and subsurface soil layers emphasized the importance of depth-specific considerations. Sorghum stood out as a particularly influential crop, significantly increasing labile and total organic carbon levels, highlighting its potential role in enhancing soil quality. The experiments were conducted on the fields of "Birlik" LLP in the Balkhash district of the Almaty region from 2015 to 2017. The chosen crops, each with distinct characteristics, provided a comprehensive understanding of their impact on soil dynamics. Advanced techniques for soil sampling and analyses ensured accurate measurements of various soil parameters. The study site's sharply continental climate, marked by temperature variations, snowy winters, and hot, dry summers, added complexity to the investigation due to its influence on plant growth and soil interactions. In conclusion, this comprehensive study offers valuable insights into the intricate relationships between different crops and soil parameters for combating desertification. The findings contribute significantly to the development of sustainable soil management practices, providing a foundation for identifying suitable crops for soil improvement in arid regions. By understanding how different plants impact soil properties, this research supports informed decision-making in agricultural practices, promoting the long-term sustainability of farming in regions vulnerable to desertification.

The study estimates the efficiency of public health centre II (HCII) facilities in Southwestern Uganda. Specifically, it determines the level of technical efficiency (TE), scale efficiency (SE) and estimates the economic savings required to make inefficient public health facilities efficient. An output-oriented Data Envelopment Analysis (DEA) is employed in the estimation of TE and SE. It was found out that 73 % of the HCIIs were technically inefficient while 27% were technically efficient. Mean TE stood at 72.3% implying that an average HCII could potentially improve its efficiency by increasing its outputs by 27.7%. In addition, 77% of the facilities were SE implying that they obtained the most productive scale size given the input-output combination. 23% of the facilities were scaled inefficient implying that they have more input waste attributable to their size. There is great potential for economic savings shown by different magnitudes of input reductions and output augmentations required to make inefficient facilities efficient. The study has important policy implications. The health sector should embark on rigorous periodic research and development to enhance healthcare delivery efficiently. Since the health units are small, there is a need to augment their scale sizes and improve on their management practices so as to enhance their overall productivity and efficiency. Stakeholders should scale up efforts to attract, align skills with needs and improve retention and motivation of the health workforce. Holistic investment in resource inputs is essential. A comprehensive monitoring and evaluation plan with key verifiable indicators to monitor the overall health sector performance is required.

In the past, the environment has been a low priority in humanitarian operations for refugee agencies and implementing partners because of the emergency context. However, actions to safeguard the environment can be undertaken concurrently with emergency interventions and organisations should take responsibility for conserving the environment in refugee settlements in the same way that they are responsible for the welfare of refugees. Tree-based interventions, such as agroforestry, have been demonstrated as a viable option for resilience and sustainability in landscapes with increasing human pressure. Refugee settlements are subject to intense human pressure and suffer environmental degradation as a consequence. The potential benefits of agroforestry in refugee settlements though are not well researched. This study explores the implementation of agroforestry schemes in refugee settlements in the Arua district of Uganda. Using semi-structured interviews with the beneficiaries of the International Centre for Research on Agroforestry (ICRAF) agroforestry projects in Imvepi and Rhino camps, the study identifies key benefits for participants and the environment. These include improved livelihoods and nutrition. However, there are challenges to overcome before agroforestry can be made more widely available in refugee camps. Key barriers include insufficient land, limited water availability and lack of local knowledge, which limits productivity. This research shows how relief, rehabilitation and development can work hand in hand to reduce social and environmental pressure in the targeted refugee settlements and host communities and improve the well-being of beneficiary households by creating opportunities for income generation, improving nutrition and contributing to social cohesion.

The ultimate goal of industrial policy is to allow constant improvement in both the quality and standard of living. Necessary conditions to such improvement are full employment at both high, real wages and at increasing rates of productivity. For the European Economic Community, productivity must not only increase absolutely but also relatively, in comparison to other international competitors. Yet during the 60's and early 70's, Europe's competitive position in a number of major industrial sectors weakened, such that the energy shock, when it did come, signaled a reversal in established terms of trade. Suddenly, the Common Market was confronted with new problems of adjustment and decline. It is within this context that both the role and the focus of EEC industrial policy have changea and that come to play the underlying dynamics that shape European industrial policy formulation. In these new economic conditions, traditional policies of demand management, of counter-cyclical measures and of monetary control have proved inadequate to restore real growth, full employment and ordered structural change. While purely national solutions appear to be no longer possible in many sectors, member countries have become increasingly locked into competitive rather than the complementary industrial strategies. New and intense political strains have emerged. Political legitimacy and a clear mandate are critical to the formulation and implementation of industrial policy. Although the essential economic logic of the Treaty of Rome is clear, its political dimensions are less evident. Indeed there is nothing in the Common Market treaty about industrial policy. Yet as the question of industrial development moves to the centre of political debate, the future evolution of the community will be increasingly linked to EC industrial policy. This article analyzes European industrial policy as we enter the 80's. It begins with an analysis of the economic realities and the social and political forces behind the changing focus of European industrial policy and examines briefly the context of industrial policy formulation at the European Community level. Subsequently it turns to the new sectoral pattern and emphasis of European industrial policy. Finally, the article evaluates the evolution of European industrial policy in the latter part of the 70s and considers emerging trends.

The COVID-19 pandemic and subsequent protectionary lockdowns have had a dramatic impact on agricultural production globally. Barishal division is the ‘grain-basket’ of Bangladesh and a main rice cultivation centre within the country. This study captures perspectives on the environmental socioeconomic stressors impacting primary production in the coastal region of Barishal, and the impact of the first wave of the global pandemic. In our methodology, a cross-sectional survey is carried out amongst agriculture officers and farmers focusing on land management practices, environmental stressors, and the consequences of the pandemic on winter crop harvests and wet season production. A total number of 234 people participated, of which 31 were agriculture officers and 203 were farmers. Government officers completed an online questionnaire, while farmer responses were collected through Focus Group Discussion. The results show that despite the lockdown, 76% of responders claimed that they had harvested more than 80% of the cultivated winter rice. Other crops, such as fruits and vegetables, were less successfully returned. Despite food production pressures, land capacity was not fully utilised, with a significant/notable proportion of fields left fallow, principally due to periodic flooding events that sufferer concurrently from soil organic matter depletion. Upazila, not severely waterlogged, had salinity problems to contend with. While transportation restrictions and labour shortages were key constraints arising from the impact of COVID-19 on both agricultural production and post harvesting (processing, distribution, and utilisation). Current storage facilities for perishable produce, such as fruit, were found to be lacking, which further compounded access to such food items. The COVID-19 pandemic shocked agricultural productivity and food supply within the Barishal division. However, despite managing to return a successful rice harvest during the lockdown, it was found that the pre-existing environmental stressors arising from cyclones and flooding continued to be the primary threat to agriculture, even during a global pandemic. Our findings have been used to inform management options to increase resilience in the region.

Travellers may be exposed to a wide range of different air pollutants during their journeys. In this study, personal exposures within vehicles and during active travel were tested in real-world conditions across nine different transport modes on journeys from London Paddington to Oxford City Centre, in the United Kingdom. The modes tested covered cycling, walking, buses, coaches, trains and private cars. Such exposures are relevant to questions of traveller comfort and safety in the context of airborne diseases such as COVID-19 and a growing awareness of the health, safety and productivity effects of interior air quality. Pollutants measured were particle number (PN), particle mass (PM), carbon dioxide (CO2) and speciated volatile organic compounds (VOCs), using devices carried on or with the traveller, with pumped sampling. Whilst only a relatively small number of journeys were assessed—inviting future work to assess their statistical significance—the current study highlights where a particular focus on exposure reduction should be placed. Real-time results showed that exposures were dominated by short-term spikes in ambient concentrations, such as when standing on a train platform, or at the roadside. The size distribution of particles varied significantly according to the situation. On average, the coach created the highest exposures overall; trains had mixed performance, while private cars and active transport typically had the lowest exposures. Sources of pollutants included both combustion products entering the vehicle and personal care products from other passengers, which were judged from desk research on the most likely source of each individual compound. Although more exposed to exhaust emissions while walking or cycling, the active traveller had the benefit of rapid dilution of these pollutants in the open air. An important variable in determining total exposure was the journey length, where the speed of the private car was advantageous compared to the relative slowness of the coach.

The health of pregnant women will determine for health status of the baby. This is also a main concern for the government. Pregnant women bring prospective future generations to the nation who will productively contribute greatly to the progress of the nation. The importance of maternal health can be seen from the government’s policy that the reduction of the Maternal Mortality Rate (MMR) is one of the SDG’s 2030 targets and an indicator of the success of national development. Pregnant women are a vulnerable group, especially in pandemic situations and conditions. Various efforts were made to maintain the health of mothers and babies during pregnancy until delivery. Gowa Regency is a district with the second highest number of Covid case in South Sulawesi. Therefore, it became the basis for implementation of community service in the working area of ​​the Bajeng Public Health Center, Gowa Regency. The method used is to provide health education in the form of a gallery walk with the aim of increasing the knowledge of pregnant women in order to maintain their health. Various important themes in this counseling include: anemia in pregnant women, the risk of 4T in pregnant women, recognizing the symptoms and danger signs in pregnancy, stress management for pregnant women, and nutrition needed by pregnant women and continuing to carry out pregnancy check-up during the pandemic period. During the activities, pregnant women were enthusiastically paying attention to each material provided and actively discussing. At the end of the counseling, we immediately evaluated the knowledge of pregnant women regarding in the materials that had been given. They were very happy with these activities, and looking forward to such activities next time. Therefore, we suggest to related parties, namely the head of the public health center and health workers, to continue to carry out health education regularly and to reactivate the integrated healthcare center for pregnant women during the COVID-19 pandemic period while still implementing health protocols. ABSTRAK Kesehatan ibu hamil merupakan perhatian besar bagi pemerintah. Ibu hamil, membawa calon generasi penerus bangsa yang secara produktif akan berkontribusi besar terhadap kemajuan bangsa dan negara. Pentingnya kesehatan Ibu, dapat dilihat dari kebijakan pemerintah yang menjadikan penurunan Angka Kematian Ibu (AKI) sebagai salah satu target SDG’s 2030 dan indikator keberhasilan pembangunan nasional. Ibu hamil adalah kelompok rentang terlebih disituasi dan kondisi pandemic. Berbagai upaya dilakukan untuk tetap menjaga kesehatan ibu dan bayinya selama proses kehamilan sampai persalinan. Kabupaten Gowa merupakan kabupaten dengan jumlah kasus covid tertinggi kedua di Sulawesi Selatan, maka ini menjadi dasar pelaksanaan pengabdian masayarakat di wilayah kerja Puskesmas Bajeng Kabupaten Gowa. Metode yang digunakan adalah memberikan penyuluhan kesehatan dalam bentuk gallery walk dengan tujuan meningkatkan pengetahuan ibu hamil agar mampu tetap menjaga kesehatannya. Berbagai tema penting pada penyuluhan ini antaralain: anemia pada ibu hamil, resiko 4T pada ibu hamil, mengenal tanda-tanda bahaya kehamilan, manajemen stress pada ibu hamil, dan nutrisi yang dibutuhkan ibu hamil serta tetap melakukan pemeriksaan kehamilan selama pandemic. Selama kegiatan berlangsung para ibu hamil antusias memperhatikan setiap materi yang diberikan dan aktif berdiskusi. Diakhir penyuluhan kami evaluasi secara langsung terkait pengetahuan ibu hamil tentang materi-materi yang sudah diberikan. Mereka sangat senang dengan adanya kegitan ini, dan berharap akan ada kegiatan lanjutan. Maka dari itu kami menyarankan kepada pihak-pihak terkait yaitu kepala puskesmas dan para tenaga kesehatan untuk tetap melaksanakan penyuluhan kesehatan rutin dan kembali mengaktifkan posyandu ibu hamil di masa pandemic covid 19 dengan tetap menerapkan protocol kesehatan.

Many strategies have been put forward to seek green and low-carbon development, some of which are achieved through land use and cover change (LUCC). A series of land management policies related to LUCC and corresponding changes in carbon dynamics were released with the implementation of the Ecological Conservation Pilot Zone Program (ECPZP) in China. We explored the spatiotemporal dynamics of LUCC and carbon storage in the first ECPZP implementation region (Fujian province) at the time before and after ECPZP implementation using a simplified carbon pools model and quantified the relative impacts of human activities and climate change on net primary productivity (NPP) employing residual analysis. This can fill the gap of land use and vegetation changes and the corresponding carbon dynamics in the ECPZP region and can serve as a reference for future land management policy revisions and ECPZP project extensions. The results showed that: (1) In 1990–2020, woodland, cultivated land, and grassland were the leading land use type in Fujian province. The area of LUCC was 11,707.75 km2, and it was predominantly caused by the conversion from cultivated land to built-up land, and the interconversion between woodland and grassland. (2) An increase of 9.74 Tg in carbon storage was mainly caused by vegetation conversion from 1990 to 2020. (3) The statistically significant increased area of climate change-induced NPP was 2.3% primarily in the northwest, but the decreased area of it statistically significantly was only 0.1%. Correspondingly, the increased area of statistically significant human activity-induced NPP was 8.7% primarily in the southeast, but the decreased area of statistically significance was 6.5%, mostly in the central region. In addition, the statistically significant areas of NPP caused by the combination of human activities and climate change differed by 1.8%. To sum up, ECPZP makes full use of the vertical mountain landscape and property right reform to effectively secure ecological space and local income. Moreover, urbanization-related policies are an essential impetus for LUCC and carbon balance. The impact of other built-up land expansion on environmental change needs to be paid particular attention to. Moreover, land-use activities in the centre of the study region that are not conducive to NPP growth should be judiciously assessed in the future.

Biogas production considered the most encouraging sources of renewable energy in Sudan. Anaerobic process of digestion is considered as efficient techniques of producing biogas. The process also a trustworthy method for treatment of municipal wastes, and the digested discharge could be utilized as soil conditioner to improve the productivity. This research work states at the option of using domestic sludge of the wastewater treatment plant in Soba municipal station (south of Khartoum-Sudan) to produce biological gas (biogas). A laboratory investigation was carried out using five-liter bioreactor to generate biogas for 30 days. The total volume of gas made was 270.25 Nml with a yield of 20 Nml of biogas/mg of COD removed. Chemical oxygen demand, Biological oxygen demand, & total solids drop produced were 89, 91 & 88.23% respectively. Microbial activity was declined from 1.8x107 (before starting the process of digestion) to 1.1x105 germs/mL (after completion of 30 days of digestion). This study offered a significant energetic opportunity by estimated the power production to 35 KWh.Key word: Sludge, municipal plant, organic material, anaerobic process, breakdown, biological gas potentialNTRODUCTIONIncreasing of urban industries style in the world has given rise to the production of effluents in huge amounts with abundant organic materials, which if handled properly, be able to end in a substantial source of energy. Although of a fact that there is an undesirable environmental effect related with industrialization, the influence can be diminished and energy can be tapped by means of anaerobic digestion of the wastewater (Deshpande et al., 2012). Biological wastewater treatment plant (WWTP) is a station for removal of mainly organic pollution from wastewaters. Organic materials are partly transformed into sludge that, with the use of up-to-date technologies, represents an important energy source. Chemical biological, and physical technology applied throughout handling of wastewater produce sludge as a by-product. Recent day-to-day totals, dry solids range from 60–90 g per population equivalent, i.e. EU produces per year 10 million tons of dry sludge (Bodík et al., 2011). Sludge disposal (fertilizers use, incineration, and landfills) is often explored since of increasingly limiting environmental legislation (Fytili and Zabaniotou, 2008). The energy present in sludge is obviously consumed in anaerobic digestion. Anaerobic Process is considering the most appropriate choice for the handling of organic effluents of strong content. This process upgraded in the last few years significantly with the applications of differently configured high rate treatment processes, particularly for the dealing of industrial releases (Bolzonella et al., 2005). Anaerobic process leads to the creation of biological gas with high content of methane, which can be recovered, and used as an energy source, making it a great energy saver. The produced gas volume during the breakdown process can oscillate over a wide range varying from 0.5 – 0.9 m3 kg–1 VS degraded (for waste activated sludge) (Bolzonella et al., 2005). This range rest on the concentration of volatile solids in the sludge nourish and the biological action in the anaerobic breakdown process. The residue after digestion process is stable, odorless, and free from the main portion of the pathogenic microorganism and finally be able to use as an organic nourishment for different application in agriculture. Sludge significant coming out from breakdown which allows to yield a renewable energy, that was cheap, obtainable, & no polluting. Sustainable development considered the production of biogas as environmentally friendly and an economic key (Poh and Chong, 2009).OBJECTIVES Sudan have huge tones of sewage sludge from domestic sewage water is accumulated daily in lagoon of soba sewage treatment plant, so this work, we were carried for energy production and treatment of sludge, which constitutes a plentiful waste which ever know any sort of handling after few years from establishing the station.MATERIALS AND METHODSExperimental apparatus: Anaerobic breakdown was done in five liters fermenter. The fermenter was maintained at 35oC in a thermostatic bath and stirred regularly. U shaped glass tube was connected to the fermenter, allowing the measurement of produced biogas volume and pressure. Water displacement technique was used for determination of the volume of produced biological gas (biogas) at the beginning of each sampling. Testing of the biogas combustibility was determined by connecting one of ends of the tube to a gas collection and storage device (balloon), the other end to a Bunsen burner. In the process of reduction of carbon dioxide (CO2) to maximum dissolution in the tube the liquid must be a salty saturated acid solution (5% citric acid, 20% NaCl, pH ¼ 2) (Connaughton et al., 2006).Substrate: About 5L sludge containing culture medium were taken from the lowest part of the first settling tank in Soba station. The moisture content of initial substrate was 35%. The collected sample was preserved at 4oC prior to loading the biological reactor (Tomei et al., 2008). Table 1 showed the sludge features in the reactor with a loading rate of 16 g TS/L, (Connaughton et al., 2006; Tomei et al., 2008).Analytical Methods: The pH was controlled by using HANNA HI 8314 model as pH meter device. Assay was used for determination of Alkanility & Volatile fatty acids (Kalloum et al., 2011). The standard method of analysis was used for recognized the Chemical Oxygen Demand (COD) (Raposo et al., 2009). Titrimetric method was used for analyzing Volatile fatty acids (VFA). Alkalinity assay was used for determination of Total Alkalinity (TA). Oxitop assay was used for measuring the biological oxygen demand. Ignition method was used for measuring Volatile Solids (VS) by losing weight in dry sample at 550oC in the furnace, & Total solids were done to constant weight at 104oC (Monou et al., 2009). A method of water displacement was used for determination of the total volume of Biological gas produced (Moletta, 2005). Microbial species & analyses were determined by microbial standard assay. Sample analysis was done by explore of three replicates and the outcomes were the middling of these replicates. Startup of experiments continues until a bubble of gas was detected.RESULTS AND DISCUSSIONMeasurement of pH: Figure 2 exhibited pH trends during 30 days with a drop pattern from 7.0 to 6.0 during the first five days; this was mainly because of the breakdown of organic materials and the development of (VFA). Then later, an increasing pattern in pH was noticed to 6.98, for the next week, then Steadying around this pH level was continued till the completion of the breakdown period which taken 30 days. Those out comes were also reported by other researchers (Raposo et al., 2008)Measurement of VFA: Development of VFA throughout 30 days was depicted in figure 3, an increase in volatile fatty acids up to 1400 mill equivalents per liter (meq/L) in the first ten days. This criterion of making of volatile fatty acid is typical to the researcher’s report of identification of hydrolysis in acidogenesis stage (Parawira et al., 2006). The decline in volatile fatty acids after the tenth day was owing to intake by bacteria which would relate to the stage of acetogenesis.Total alkalinity (TA): During the ten days, we observed rise in volatile fatty acids content followed by a drop in a pH in the same time (figures 4 and 5). Encountered to these alterations, an increase in the total alkalinity in the medium for reestablishing situations of alkalinity to the outbreak of methanogens stage (figure 4). Through all the digestion period the ratio of VFA/TA which was equal and lower than 0.6±0.1 were described in figure 6. These ratios designated the achievability of the procedure despite the essential production of volatile fatty acid (Chen and Huang, 2006; Nordberg et al., 2007). The anaerobic digestion process may be hinder by the production of volatile fatty acid.Biogas production: Pressure measurement and biogas volume were used for controlling biogas production. Figure 7 explained the changing in biogas pressure throughout the digestion period. quality of Biogas was obtained with minimum methane of 40% (Bougrier et al., 2005; Lefebvre et al., 2006). Total volume of biological gas production was 270.25 Nml. The yield of biological gas was 20.25 Nml/mg COD removed, which is in range of the others researcher report (Tomei et al., 2008). Biogas production can be calculated from the following formula (Álvarez et al., 2006): Biogas production= (Total quantity of biogas produced)/(Total solid).The COD and BOD removal: Chemical oxygen Demand (COD) and Biological Oxygen Demand (BOD) showed a significant reduction of 89% and 91% respectively (figures 8 and 9). Consequently these reduction in contaminants proved that anaerobic process of digestion was an operational technique for removal of organic pollution. Some researchers reported the same results (Bolzonella et al., 2005; Álvarez et al., 2006; Wang et al., 2006). Another criterion for proving the removal of organic pollutants was reduction of total solids (TS), where the drop approached 88.23% (figure 10). Some researcher’s reports approached the same drop (Hutnan et al., 2006; Linke, 2006; Raposo et al., 2009). Therefore it was possible to conclude that anaerobic digestion necessary showed decrease or reduction of organic pollutants rates because of the transformation of organic substances into biogas and accordingly led to the drop of chemical oxygen demand (COD). This could be explained in figure 11 by the comparison of the two techniques during the anaerobic digestion process. That means the chemical oxygen demand (COD) drop should be tailed essentially by Total solids drop (TS).Microbial activity: Figure 11 showed the microbial variation during anaerobic digestion. The total micro flora (total germs) declined from 1.8x107 (before starting the process of digestion) to1.1x105 germs/mL (after completion of 30 days of digestion). Moreover figure 12 obviously explained what was running during the process of digestion in the reactor, microbial species vanishing after the 30 days such as streptococci and Escherichia coli. Some researchers reports explained that there was some sort of relationship between physicochemical and the biological parameters of micro flora with total solid (TS). figure 13 described obviously this relationship of the drop of micro flora which go along with total solids reduction. This intended that consumption and a declining in the mass residue of organic materials created at the termination of digestion was the outcome of the transformation of organic materials into biological gas and also the sum of microorganism reduction. This attained result proved that the process of anaerobic digestion was a good process for decontamination (Deng et al., 2006; Perez et al., 2006; Davidsson et al., 2007).CONCLUSIONSoba sludge’s municipal station carried in this research paper demonstrated operative for biological gas production (biogas). During the first five days, breakdown of organic materials and the formation of volatile acids were started. Volatile fatty acids increased up to 1400 mill equivalents per liter (meq/L) in the first ten days, then started to decline in after the tenth day this owing to intake by bacteria which would resemble to acetogenesis stage. The biogas production lasted until the 21th day then starting decreasing till the last day (30 day) this due to instability of the culture medium of fermentation which became completely poor. COD and BOD showed a significant reduction of 89% and 91% respectively. 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