Optimal Production Research Articles

Analyzing Healthcare Production Under Uncertainty in a State‐Contingent Framework

ABSTRACTIn health care, decision‐makers grapple with uncertainty, influencing production choices. This paper introduces a model exploring healthcare production under uncertainty using a state‐contingent framework. Employing a parametric model and a general utility function, it calculates decision‐makers' subjective probabilities for potential future states. Through numerical examples, it illustrates how optimal production choices are made. The model defines production technologies as state‐allocable, facilitating resource allocation among various states and allowing for substitution of state‐specific outputs. This approach offers more flexibility compared to traditional production analyses, empowering healthcare producers to better adapt and respond to uncertainties.

UTILIZATION OF CASSAVA PEEL AND CHITOSAN FOR THE PRODUCTION OF HYDROGEL AS A SUSTAINABLE SOLUTION FOR DOMESTIC WASTEWATER TREATMENT

Water pollution is a significant environmental issue, especially in developing countries where domestic wastewater often contains a high concentration of pollutants, posing risks to public health and the environment. Hydrogel from cassava peel and chitosan shows promise as a bioadsorbent for domestic wastewater treatment, but its capacity and optimal production temperature have not been fully studied. The study aimed to investigate the characteristics of hydrogel from cassava peel and chitosan, the optimal temperature for hydrogel production, and the efficacy of hydrogel as a bioadsorbent for domestic wastewater treatment. The study involved four stages: cellulose isolation, hydrogel preparation, wastewater treatment experimentation, and data analysis. The results showed that chitosan hydrogel synthesized at 750C had superior efficiency, achieving an optimal outcome of 88% in the treatment of household wastewater using a triad of chitosan hydrogel pellets. The degree of cross-linking in chitosan hydrogel diminished with an increase in heating temperature

Optimizing food waste anaerobic digestion in Kuwait: Experimental insights and empirical modelling using artificial neural networks.

This study investigates, for the first time, the anaerobic digestion of food waste in Kuwait to optimize methane production through a combination of artificial neural network (ANN) modelling and continuous reactor experiments. The ANN model, utilizing eight hidden neurons and a 70-20-10 split for training, validation and testing sets, yielded mean squared error values of 0.0056, 0.0048 and 0.0059 and coefficient of determination (R²) values of 0.9942, 0.9986 and 0.9892, respectively. Methane percentages in biogas were predicted using six parameters: biomass type, pH, organic loading rate (OLR), hydraulic retention time (HRT), temperature and reactor volume. To validate the ANN results, continuous reactor experiments were conducted under an OLR of 3 kg VS m⁻³ d⁻¹ and HRT of 20 days at varying temperatures (35°C, 40°C, 45°C, 50°C and 55°C). The experiments demonstrated optimal methane production in the mesophilic range, with ANN predictions closely aligning with experimental data up to 45°C. However, deviations were observed at higher temperatures, particularly under thermophilic conditions beyond 50°C. This study provides novel insights into waste-to-energy initiatives in Kuwait and highlights the potential of integrating computational models with empirical data to enhance biogas production processes.

Experimental Investigation on Climate-Control Nano-Composite Polycarbonate Sheets Enhanced with TiO2, ZnO, and Zeolite Nanoparticles for Polyhouse Use

Abstract Optimal food production is achieved when crops receive the necessary nutrients, and the desired levels of temperature, humidity, solar radiation, and sufficient water. Climate Control Agriculture, or Controlled Environment Agriculture, utilizes a technology-based approach to grow plants in a controlled environment. This study focuses on the experimental investigation of polycarbonate sheets doped with TiO2, ZnO, and zeolite nanoparticles for potential use in polyhouse applications. The thermal performance of these synthesized sheets and standard polycarbonate sheets was tested in a laboratory setting. A specialized experimental setup, consisting of two cabinets, was designed and fabricated for this purpose. Ten synthesized sheets each with thicknesses of 50 µm and 70 µm, and two commercial sheets of 70 µm thickness were tested experimentally in the laboratory for their thermal performance. Results indicated that the doping concentration of 0.3% was the most effective, while 0.1% was the least effective. Among the three doping materials, TiO2-doped sheets demonstrated superior ultra-violate light absorption capacity due to their high refractive index and band gap energy, which enhances their ability to absorb and scatter ultra-violate light. . ZnO offered stronger UV protection than the remaining three materials. However, it has a lower refractive index than TiO2. Its overall thermal performance was lower than TiO2. The desired properties of nanocomposites for use in polyhouse applications such as thermal performance in the laboratory, UV protection, mechanical strength and durability, transparency, photostability, and safety were compared based on the experimental results and the data available in the literature and was concluded that polycarbonate doped with ZnO and TiO₂ nanoparticles were the most suitable.

Valorization of White Lupin Straw Through Mild Dilute Acid Hydrothermal Treatment: A Sustainable Route for Monosaccharide and 5-Hydroxymethylfurfural Production

This study investigates the potential use of white lupine straw (WLS), an underutilized agricultural by-product, as a raw material to produce valuable biochemicals such as monosaccharides and 5-hydroxymethylfurfural (5-HMF) through hydrothermal pretreatment. The aim was to optimize mild reaction conditions to maximize the recovery of these products while minimizing degradation. The hydrothermal treatment of WLS in subcritical water with trace amounts of sulfuric acid was performed, followed by a two-step approach to evaluate the yields of hemicellulose and 5-HMF. The highest monosaccharide yield (163 g/kg) was achieved at temperatures between 174 and 181 °C and a holding time of 7–14 min, while the 5-HMF production was 139.9 g/kg at 199–203 °C and after 0.5–4.5 min. These results suggest that optimal 5-HMF production also increases the remaining solid residue. This study highlights the feasibility of WLS as a sustainable, low-cost biomass resource. It highlights the balance between temperature and time to maximize valuable product yields. The results contribute to advancing biorefinery processes by demonstrating that WLS can be effectively converted into bioethanol precursors and industrial chemicals, supporting circular bioeconomy principles and providing an environmentally friendly alternative to burning crop residues.

IoT real-time monitoring system implemented to observe sunlight-influenced methylene blue degradation by AC/HAp.

Activated carbon (AC) and hydroxyapatite (HAp) composite were successfully prepared via mechanical mixing and exhibited a crushed snack-like morphology compared to the well-defined pore structure of pure AC. The purpose of this research was to explore the potential of AC/HAp for the degradation of methylene blue (MB) dye and hydrogen production. Despite the morphological changes, AC and AC/HAp achieved a high MB degradation rate (92.75 and 82.05) % under sunlight, at a temperature of 26.24°C and pH of 4.18, and showed optimum hydrogen production (3579mol/g.h). These performances are suspected from the decrease in crystallite size and narrowed and confirmed by image processing results with RBG enhancement showing more light transmitted by the solution. Increasing in indicates the potential for improved light interaction. IoT-enabled real-time monitoring system demonstrates its efficacy in facilitating wastewater treatment and hydrogen production, offering a promising solution for aquatic ecosystem restoration.

Carbon Asset Management Mode Selection for Capital-Constrained Enterprises

Carbon asset management has become an important way to reduce carbon costs. There are three main carbon asset management modes, including carbon quota compliance, carbon asset autonomous management, and custody. A key challenge faced by capital-constrained enterprises is how to scientifically select a carbon asset management mode based on actual needs. This paper considers the impacts of setup costs of carbon asset management departments, carbon asset appreciation, custody costs, and revenue sharing, maximizes the enterprises’ profits, develops optimization models for three modes, and provides the optimal low-carbon production strategies. This paper provides evidence for enterprises to choose optimal modes under different capital levels and carbon emissions by comparing modes. The conclusions are as follows. When setup costs are low, the carbon asset autonomous management mode is suggested for the optimal profit. With higher setup costs, either carbon asset compliance or custody mode is recommended. Under abundant capital, the carbon asset custody mode is suggested. Given a certain amount of capital and low setup costs, high-emission enterprises are encouraged to adopt the carbon asset autonomous management mode for a win–win of profits and carbon emissions. The carbon asset custody and compliance modes are suggested for medium-emission and low-emission enterprises, respectively.

Application of Taguchi design to optimize the operational parameters of pyramid solar still integrated with TiO2 nanoparticles

Abstract The global community is currently grappling with mounting concerns over the scarcity of fresh water, a situation that has emerged due to a complex interplay of various factors. One viable solution to address this issue is the use of renewable energy-powered water desalination. This study presents a thorough assessment of pyramid solar still (PSS) and its modified versions (MPSS) efficiency, which involves the integration of phase change material (PCM) and nano titanium dioxide (nTiO2) in the solar still. The experiments were conducted simultaneously under identical conditions for both the PSS and the modified still. Assessment of the MPSS was conducted, taking into account various operating parameters, including solar intensity (300–900 W m−2), water depth (4–8 cm), water inlet temperature (30 °C–50 °C), and the nTiO2 concentration (0.5–1.5 wt%). In addition, the Taguchi method was used to pinpoint the factors influencing the efficiency of the solar stills, as well as their respective levels. The signal-to-noise ratio and mean response were employed to identify the ideal levels of these parameters. Furthermore, the ANOVA method was utilized to assess the important factors and their impact on the overall production. Additionally, the regression method was employed to examine the type and magnitude of the correlation between the independent variables and the dependent variable. Finally, the estimated optimum production was compared to both the predicted productivity and the actual experimental productivity. An ideal condition was 900 W m−2 intensity of solar radiation, 4 cm depth of water, 50 °C of saline water temperature, and 1 wt% nTiO2 concentration.

Determination of Particle Size for Optimum Biogas Production from Ouagadougou Municipal Organic Solid Waste

Anaerobic digestion’s contribution to sustainable development is well established. It is a sustainable production process that enables energy to be saved and produced and efficient pollution control processes to be implemented, thereby contributing to the sustainable development of our societies. Optimizing biogas yields from the anaerobic digestion of municipal organic waste is crucial for maximum energy recovery and has become an important topic of interest. Substrate particle size is a key process parameter in biogas production and precedes other pretreatment methods for most organic materials. This study aims to evaluate the impact of particle size and incubation period on biomethane production from municipal solid waste. Sampling of municipal solid waste was carried out in waste pre-collection in the city of Ouagadougou, Burkina Faso. Waste characterization showed lignocellulolytic green waste (grass, dead leaves), waste composed of fruit and leafy vegetables and leftover food waste. TableCurve 3D v4.0 software was used to develop an optimal mathematical model to correlate particle size and biomethane productivity to describe optimal production parameters. Particle sizes ranging from 2000 to 63 µm high biogas production values, specifically 385.33 and 201.25 L·kg−1 of MSV. PCA analysis clearly showed a high correlation between particle size and biogas production, with optimum production recorded for size 250 µm with a biomethane production value of 187.53 L·kg−1 of MSV. The average relative errors and RMSE for CH4 content were improved by 24.31% and 44.97%, respectively. The data calculated with the developed mathematical model and the existing experimental data were compared and permutated to validate the model. This work enabled the identification of a mathematical model that describes the correlations between the input parameters of an experiment and the monitored parameters, as well as the definition of the particle size that allows for the optimal production of biomethane.

Clostridia as Promising Biofactory for Heterotrophic (Fructose) and Autotrophic (C1-Gas) Fermentation

This study compared the performance of Clostridium ljungdahlii and Clostridium aceticum in the fermentation of fructose and C1-gasses (CO, CO2, N2) to produce valuable products such as ethanol and acetic acid. In heterotrophic fermentation (fructose), C. ljungdahlii yielded high ethanol concentrations (350 mg/L) and acetic acid (500 mg/L), with optimal production at pH 8 on the first day of fermentation. Although autotrophic fermentation (C1-gasses) resulted in lower ethanol levels (200 mg/L), it remained a viable option. Conversely, C. aceticum predominantly produced acetic acid in both fermentation modes, with higher concentrations in the heterotrophic fermentation (1600 mg/L) than the autotrophic fermentation (380 mg/L). These findings demonstrate the versatility of both microorganisms for producing valuable metabolites. C. ljungdahlii shows promise for bioethanol production, while C. aceticum excels at generating acetic acid, a crucial component in bioplastics and various industrial processes.

Towards maximizing biomass and lipid productivity: high-throughput screening assay for prospecting heterotrophic growth for new microalgal isolates

BackgroundMicroalgae have emerged as sustainable alternatives to fossil fuels and high-value petrochemicals. Despite the commercial potential of microalgae, their low biomass productivity is a significant limiting factor for large-scale production. In the photoautotrophic cultivation of microalgae, achievable cell density levels depend on the light transmittance of the production system, which can significantly decrease the photosynthetic rate and biomass production. In contrast, the mixotrophic cultivation of microalgae using heterotrophic carbon sources enables high-density cultivation, which significantly enhances biomass productivity. The identification of optimal production conditions is crucial for improving biomass productivity; however, it is typically time- and resource-consuming. To overcome this problem, high-throughput screening (HTS) system presents a practical approach to maximize biomass and lipid production and enhance the industrial applicability of microalgae.ResultsIn this study, we proposed a two-step HTS assay that allows effective screening of heterotrophic conditions compatible with new microalgal isolates. To confirm the effectiveness of the HTS assay, three microalgal isolates with distinctive morphological and genetic traits were selected. Suitable cultivation conditions, including various heterotrophic carbon sources, substrate concentrations, and temperatures, were investigated using a two-step HTS assay. The optimized conditions were validated at the flask scale, which confirmed a significant enhancement in the biomass and lipid productivity of each isolate. Moreover, the two-step HTS assay notably enhanced economic and temporal efficiency compared to conventional flask-based optimization.ConclusionsThese results suggest that our two-step HTS assay is an efficient strategy for investigating and optimizing microalgal culture conditions to maximize biomass and lipid productivity. This approach has the potential to enhance the industrial applicability of microalgae and facilitate the seamless transition from laboratory to field applications.

Optimization of Vacuum Freeze-Drying Process and Quality Evaluation of Stropharia rugosoannulata

Stropharia rugosoannulata is a valuable medicinal and food fungus with high nutritive value. Freeze-drying addresses the storage and transportation challenges of fresh Stropharia rugosoannulata, expanding its market while preserving its flavor and quality more effectively than other drying methods. This study optimizes the vacuum freeze-drying process for Stropharia rugosoannulata using an orthogonal experiment method. The process parameters were optimized to determine their effects on the quality of the vacuum freeze-dried product, including pre-freezing temperature, pre-freezing time, and freeze-drying time. The optimal conditions were identified as a pre-freezing time of 60 h, a pre-freezing temperature of −80 °C, and a freeze-drying time of 72 h. The optimal product exhibited a bright color close to its natural state, with minimal browning and its natural white color maintained post-drying. During the drying process, the internal structure of the raw materials remained intact. After drying, the finished product retained its natural form, making it suitable for sale on the market. The soluble protein content of the vacuum freeze-dried Stropharia rugosoannulata reached 68 mg/g. Optimizing the freeze-drying process can better preserve the tissue structure and bioactive substances of Stropharia rugosoannulata, providing a reference for high-quality food processing and showing potential for sustainable development.

Optimizing HMG-CoA Synthase Expression for Enhanced Limonene Production in Escherichia coli through Temporal Transcription Modulation Using Optogenetics.

Overexpression of a single enzyme in a multigene heterologous pathway may be out of balance with the other enzymes in the pathway, leading to accumulated toxic intermediates, imbalanced carbon flux, reduced productivity of the pathway, or an inhibited growth phenotype. Therefore, optimal, balanced, and synchronized expression levels of enzymes in a particular metabolic pathway is critical to maximize production of desired compounds while maintaining cell fitness in a growing culture. Furthermore, the optimal intracellular concentration of an enzyme is determined by the expression strength, specific timing/duration, and degradation rate of the enzyme. Here, we modulated the intracellular concentration of a key enzyme, namely HMG-CoA synthase (HMGS), in the heterologous mevalonate pathway by tuning its expression level and period of transcription to enhance limonene production in Escherichia coli. Facilitated by the tuned blue-light inducible BLADE/pBad system, we observed that limonene production was highest (160 mg/L) with an intermediate transcription level of HMGS from moderate light illumination (41 au, 150 s ON/150 s OFF) throughout the growth. Owing to the easy penetration and removal of blue-light illumination from the growing culture which is hard to obtain using conventional chemical-based induction, we further explored different induction patterns of HMGS under strong light illumination (2047 au, 300 s ON) for different durations along the growth phases. We identified a specific timing of HMGS expression in the log phase (3-9 h) that led to optimal limonene production (200 mg/L). This is further supported by a mathematical model that predicts several periods of blue-light illumination (3-9 h, 0-9 h, 3-12 h, 0-12 h) to achieve an optimal expression level of HMGS that maximizes limonene production and maintains cell fitness. Compared to moderate and prolonged transcription (41 au, 150 s ON/150 s OFF, 0-73 h), strong but time-limited transcription (2047 au, 300 s ON, 3-9 h) of HMGS could maintain its optimal intracellular concentration and further increased limonene production up to 92% (250 mg/L) in the longer incubation (up to 73 h) without impacting cell fitness. This work has provided new insight into the "right amount" and "just-in-time" expression of a critical metabolite enzyme in the upper module of the mevalonate pathway using optogenetics. This study would complement previous findings in modulating HMGS expression and potentially be applicable to heterologous production of other terpenoids in E. coli.

Exergetic analysis and multiparametric optimization of a novel three‐fluid‐based organic Rankine cycle evaporative system via Taguchi method

AbstractEvaluations were conducted on the thermal performance of an organic Rankine cycle (ORC) system using three fluids as the evaporative system at a low‐grade heat source. The modified ORC evaporators were replaced with a three‐fluid system, which included hot fluids at the top and bottom and an isopentane working fluid in the middle section. Furthermore, the thermal performance assessment with a hot fluid heat transfer ratio in the outer and inner tubes (Q2/Q1) varying from 25:75 to 75:25 has been investigated. The impact of the hot fluid's (Q2/Q1) heat transfer ratios to saturated steam on the modified ORC's thermal performance assessment was examined, with an evaporative temperature range of 45–65°C and a pinch point temperature difference (PPTD) of 3–10°C. The Taguchi technique solves multiparameter optimization using the L9 orthogonal array. The findings showed that in three‐fluid‐based modified ORC systems, the network output, exergetic efficiency, and irreversibility went down with PPTD for all three Q2/Q1 cases. For Q2/Q1 of 75:25, the ORC's energetic efficiency and overall irreversibility reached their optimum, while a PPTD of 3–10°C reduced the exergetic efficiency by 19.71%. Also, Q2/Q1 of 75:25 showed the highest and 200% higher ORC system work done at PPTD of 3°C than Q2/Q1 of 25:75—the lowest. Modified ORC network generation, energy output, and heat transfer rate showed excellent results at an evaporative temperature of 58.33°C. For optimal network productivity, Q2/Q1 of 75:25 was 160% and 40% greater than 50:50 and 25:75 at 58.33°C, respectively. The three‐fluid‐based modified ORC system performs better with a 75:25 Q2/Q1 ratio. According to Taguchi's analysis, evaporation temperature affects the improved ORC system's thermal, exergy, and network generation. Also, heat transfer ratios (F = Q2/Q1) largely affect system irreversibility.

PENINGKATAN DAYA SAING DAN KESEJAHTERAAN KT. KOMPITU HIJAU SEBAGAI GARDEN CITY MELALUI DIGITAL MARKETING

KT Kompitu Hijau faces challenges in marketing fresh agricultural products only through Whatsapp Group. Marketing of derivative products such as vegetable chips, healthy vegetable juice, dawet spinach, instant herbal medicine is limited to certain events organized by the Department. As well as less than optimal production management related to less attractive product packaging and water and electricity problems. The solution to overcome these problems requires training and mentoring in Digital Marketing as well as training and mentoring in production management. The method used in the training and mentoring of Digital Marketing and Production Management is the Participatory Rural Appraisal (PRA) approach which involves the community in the development process. As well as the FGD method to determine the right marketing strategy. The results after carrying out community empowerment activities are KT. Kompitu can market and sell products online through GrabMart E-Commerce, Instagram and WhatsApp Business Toko Kompitu Sehat. The results of assistance and training in production management of KT Kompitu Hijau are able to produce products that are packaged and have an attractive logo. As well as having optimal waters to produce the best products. KT Kompitu Hijau won 1st place in the Yogyakarta City Vegetable Landscape Competition which was attended by 34 farmer groups in Yogyakarta City. The evaluation results show that digital literacy has increased. This community empowerment activity was organized as a contribution to increasing the competitiveness and welfare of KT. Kompitu Hijau.

Influence of Planting Distances, Boron Application and Varying Fertilizer Levels on the yield Performance of Shallot (Allium Cepa var. Aggregatum) Across Season in Ilocos Norte, Philippines

Shallots are gaining importance in the Ilocos region, due to their culinary uses in traditional cuisine, medicinal properties, and export potential. However, the reduction of inherent soil fertility and the manifestation of multiple nutrient deficiencies have led to low yields which is 13.70% lower than the national average. Consequently, researchers and farmers are aware in the improvement of shallot production in the region. This study, conducted from March, 2023 to February, 2024, at Mariano Marcos State University using a Strip-Split-Plot design with three replicates and analyzed using STAR. Planting distances as vertical plot, boron application as horizontal plot, and fertilizer level as the subplot. The study aimed to evaluate the influence of planting distances on yield performance of shallots, and to develop better nutrient management strategies for optimal shallot production. To optimized shallot productivity per land unit area, particularly during the off-season, it is recommended to adopt closer planting distances of 15cm x 10cm combined with the application of 30-30-30 kgha⁻¹ NP₂O₅K₂O and 5 tha⁻¹ of organic fertilizer. This technique has been shown to produce higher yields, reaching up to 17.39 tha⁻¹. Additionally, pure organic fertilizer application at a rate of 7.5 tha⁻¹ during the off-season is also recommended, as it has demonstrated high yields of 16.12 tha⁻¹ when using the same planting distance of 15 cm x 10 cm. This approach not only increases yield but also improves soil health, making it a sustainable option for long-term cultivation. For the regular season, planting distances of 20 cm x 10 cm and 15 cm x 15 cm, applied with 60-60-60 kg ha⁻¹ NP₂O₅K₂O and 2.5 tons ha⁻¹ of organic fertilizer, are recommended, as they have produced yields of up to 29.4 tons ha⁻¹. While pure inorganic fertilizer results in high yields during the regular season, a combination of organic and inorganic fertilizers is preferred to enhance soil health and prevent soil d

Analisis Peramalan Penjualan untuk Perencanaan Produksi pada Lavanda Brownies Karawang

This research was conducted at Lavanda Brownies Karawang which compared the moving average and exponential smoothing forecasting methods. This research aims to find out, calculate, analyze and explain how to use the moving average and exponential smoothing methods in sales forecasting for production planning at Lavanda Brownies Karawang as well as to find out, calculate, analyze and explain what forecasting method is most appropriate to use for Lavanda Brownies Karawang based on calculations of Mean Absolute Devitiation (MAD), Mean Square Error (MSE), and Mean Absolute Percent Error (MAPE). This research uses a quantitative descriptive method, to get a general picture of the company's condition, a literature review related to the research topic is carried out as well as field research through interviews and direct observation. Based on the research results, the exponential smoothing forecasting method based on alpha 0.9 is the best forecasting method for production planning. This method was chosen because it has the smallest MAD, MSE and MAPE accuracy values ​​when compared to other methods, namely with MAD of 489,909, MSE of 506.950 and a MAPE percentage of 14,14%, which percentage has the smallest value and is included in the category Good. A smaller MAPE accuracy value indicates more precise forecasting. Because in forecasting the smaller the accuracy value, the better the forecasting results so that the Lavanda Brownies business can plan optimal steamed brownie production activities in the next period.

Screening of Sugarcane Commercial GMP Varieties Tolerant to Drought Stress Based on Molecular Detection of P5CS Gene

Sugarcane (Saccharum officinarum L.) requires sufficient a water supply to produce optimal productivity. The selection of the superior varieties of sugarcane that are tolerant to drought can be done by molecular detection of the presence of the pyrroline-5-carboxylate synthetase (P5CS) gene. The research is aimed at molecular detection of P5CS gene in a commercial varieties at PT Gunung Madu Plantations (GMP), Indonesia that are potentially drought resistant. Similar research has never been conducted at PT GMP, as evidenced by the absence of official publications. The varieties used are GMP 3, GMP 5, RGM 06-654, PS 864, RGM 08-1026, PSJT 941, RGM 01-1834, GP11, RGM 07-099, and RGM 02-108. The research phases include DNA isolation, quantitative and qualitative DNA amplification, and PCR product visualization. Molecular data analysis is based on DNA band scoring results in the form of binary data which is then used to calculate the level of polimorphism information content (PIC) on the primary data used. The results of the study showed that nine out of ten varieties had P5CS-specific band sizes of ±167 bp, namely GMP 3, GMP 5, RGM 06-654, PS 864, PSJT 941, RGM 01-1834, GP 11, RGM 07-099, and RGM 02-108. A total of four of the nine varieties showed P5CS gene band thicknesses of RGM06-654, PSJT 941, PS864, and RGM 01-1834 which indicates the selected varieties most resistant to drought. The result of the PIC calculation has a value of > 0.25 which indicates the primary P5CS used is quite informative. The molecular detection was continued on one selected variety is PSJT 941, which showed that the relationship analysis of P5CS gene shows close affinity with the isolates from China and Bogor.

Diseminasi dan Akselerasi Percepatan Produksi Jamur Tiram Melalui Studi Kasus Mesin Press Baglog Otomatis di UD Zaida Jamur Tiram

The program for implementing this activity aims to accelerate the production of oyster mushrooms at UD Zaida Oyster Mushrooms through dissemination and implementation of an automatic baglog press machine. This activity was carried out in collaboration between a team from the university and UD Zaida, integrating modern technology into traditional production processes. Through a series of training and workshops, implementation partners can operate machines effectively and understand optimal production management. The results of this activity show a significant increase in production capacity, where UD Zaida was able to increase oyster mushroom production output and reduce production waste. This program has also succeeded in increasing the skills and knowledge of workers, while providing a positive impact on the local economy through increasing income and employment opportunities. The dissemination of automatic baglog press machines has proven to be a sustainable solution that drives efficiency and productivity in the mushroom farming sector. This implementation activity recommends expanding the use of this technology to other regions as an effort to support the growth of the oyster mushroom industry at the national level.

Culture Suitability of Macrobrachium rude with Carp Polyculture in Bangladesh

The experiment assessed the production performance of Gura Chingri (Macrobrachium rude) in polyculture systems across different stocking densities over six months from February 2023 to July 2023. Three treatments (T1, T2, and T3), replicated three times each, were implemented, with varying stocking densities for Gura Chingri, Suborno Rui, Catla, and Silver carp. Following stocking, formulated feeds containing 28-30 % protein was administered, initially at 8% of biomass, gradually reduced to 3%. After six months, the highest mean final weights for individual Prawn (1.10±0.10) g, Suborno Rui (445.68±24.6) g, Catla (511.80±15.72) g, and Silver carp (560.15±13.26) g were recorded in the T2 treatment. Suborno Rui exhibited significantly lower growth performance in T1 compared to T2 and T3, while Chingri showed statistically significant higher growth performance in T2 compared to T1 and T3 (p < 0.05). The food conversion ratio (FCR) was significantly lowest in T2 (1.66) and highest in T1 (1.78) (p < 0.05). Additionally, the highest survival rates were observed in T2 for Prawn (62.21%) g, Suborno Rui (98.7%) g, Catla (98.5%) g, and Silver carp (99.82%) g. Based on these findings, carp polyculture can be an effective way for the farmers to achieve optimal production and financial benefits in Gura chingri culture. Further research is needed to develop consistant and environmentaly sustainable culture system of Gura chingri.