Crude Feed Research Articles

Comparative growth, survival, and feed conversion factor of the F1 generation of two new strains of tilapia Oreochromis niloticus produced by mass selection

Growth, survival, and use of feed of the F1 generation of two new strains of tilapia Oreochromis niloticus (GenBank Strain Y = OK078792 to OK078796 and Strain A = OK078797 to OK078807) produced by mass selection was compared with a known fast-growing commercial strain in Mexico (GenBank Strain Q = OR744820 to OR744838), during a grow-out phase of 165 days. Genetic variability including observed (Ho) and expected (He) heterozygosity, inbreeding coefficient (Fis), and paired comparisons of strain fixation index (Fst) of the three strains were also compared, and an additional analysis of molecular variance (AMOVA) was performed. Twelve hapas of 8.2 m3 (four for each strain) were stocked at a density of 25 org m−3 of 4.58 ± 0.67 g, which were fed with 45 to 25% crude protein feed under a dynamic feeding scheme of 8 to 3% live weight. Growth was estimated by growth rates in weight and length, and by the weight-specific growth rate (SGR). The use of feed was estimated by the total feed consumption rate and the feed conversion factor (FCF). Results indicate no significant differences (P > 0.05) in growth parameters of the three strains, except in SGR which was significantly higher in the control strain (Q) (2.75% day−1) as compared with strains Y and A (2.51 and 2.59% day−1 respectively). The average final weight and size of the fish were 314.6 ± 11.8 g and 25.5 ± 0.4 cm respectively. No significant differences (P > 0.05) were found in survival and feed utilisation among strains, with average values of 96.4% survival, feed consumption of 3.91 g day−1, and FCF of 2.08. Results of genetic diversity indicate that there were no significant differences (P > 0.05) in Ho and He of the three strains, with average values of 0.310 and 0.280 respectively. Fis values were negative and similar for the three strains, with a mean value of −0.109 which indicates no consanguinity in their populations. Finally, the paired comparisons of Fst were significantly different (P < 0.001), showing relatively low values but different from 0 (Y vs. A = 0.025, A vs. Q = 0.041 and Y vs. Q = 0.055), indicating slight but significant population differentiation between strains. In conclusion, the performance and genetic variability of the F1 generation of the two new strains suggest that valuable broodstock is now available for mass production of fry, with similar performance as to one of the best strains of tilapia in Mexico.

An easy decision-making graphic tool to improve herd level milk yield in a local scale dairy farming system

Several features prevent dairy farms from reaching their full potential milk yield levels. A plurality of methods are available to analyse a farm’s yield gap, but in practice, farmers rarely use them to understand their main constraints to production. We propose a simple and graphical approach to tune the limiting (feed-related) or reducing (management-related) factors to evaluate the likelihood of being a high-yielding farm. We gathered data from 32 farms within a local-scale dairy system in Northern Italy. Data regarded milk yield (MY), dry matter intake (DMI), feeding ration’s homogeneity index (Hi), feed sorting (Si) index, ration’s geometric mean particle length (GMPL), ration digestibility, income over feed cost (IOFC) and MY summer-winter ratio (SWR). Farms were classified according to their MY levels into high (H) and low or medium (L + M), with a 36.7 kg × cow−1 day−1 threshold. At an ANOVA model for MY class, H farms resulted in higher IOFC (p < 0.001), GMPL (p = 0.046), DMI (p = 0.006), digestible DM (DDM, p = 0.013), digestible crude protein (DCP, p = 0.011), digestible starch (Dstarch, p = 0.001), and feed efficiency (FE, p = 0.003). At a logistic AIC stepwise regression, the GMPL (odds = 6.528, 95% CI = 1.11-64.2) and DMI (odds = 3.889, 95% CI = 1.43-16.5) favoured farms being classified in the H production class. The nomogram was used to calculate a confusion matrix, achieving an overall accuracy of 0.70, demonstrating its ability to transform predictive models into a graphical, realisable tool.

Considerations for fatty acids in standardized reference diet for parthenogenetic marbled crayfish Procambarus virginalis model organism

Fatty acid accumulation was studied in the parthenogenetic all-female marbled crayfish Procambarus virginalis using six arbitrarily designed experimental feeds and related to individuals with glair glands (sexual maturity) after 100 days of ad libitum feeding at 21 °C, including gravid females from the wild as a reference. Fatty acids 16:0 and 18:1n-9 comprised 40% of the total amount of fatty acids and tended to up-concentrate in bodies. Shorter chain 14:0 depleted from feed to body. Across diets, there was a concomitant decrease in precursor fatty acid and increase in product fatty acid, such as reinforcements in monounsaturated fatty acid (18:1n-9), eicosanoid precursors 20:4n-6 (arachidonic acid, ARA) and 20:5n-3 (eicosapentaenoic acid, EPA) in-vivo, but not 22:6n-3 (docosahexaenoic acid, DHA) except when deficient in CHI or CHI + SPI diets. Saturation kinetics modeling (R2 0.7–0.9, p < 0.05) showed that when the ARA share is ~ 1%, the EPA share is ~ 8%, and the DHA share is ~ 2% in the food lipids, the accumulation of fatty acids in body lipids levels off. The lowest DHA in the CHI (0% glair glands) or CHI + SPI (0–3.9% glair glands) diets, and the lowest ARA in SER (0% glair glands) or SER + SPI (0–3% glair glands) diets, were synchronous with negligible sexual maturity despite a wide range of observed specific growth rates (2.77–3.60% per day), body size (0.44–0.84 g), ≤ 5% crude lipid and 40–46% crude protein feed. The FISH and SHRIMP diets (56% protein, 11–14% lipid) with the highest ARA, EPA, and DHA together seem to be the most conducive diets for sexual maturity (up to 20% of individuals with glair glands). We propose a fatty acid profile mimicking the FISH or SHRIMP diets as a starting point for designing the lipid content required in the marbled crayfish standardized reference diet.

Genome-wide detection of runs of homozygosity and heterozygosity in Tunchang pigs

Tunchang pigs, mainly distributed throughout Hainan Province of China, are well-known for their superior meat quality, crude feed tolerance, and adaptability to high temperatures and humidity. Runs of homozygosity (ROH) can provide valuable information about the inbreeding coefficient in individuals and selection signals that may reveal candidate genes associated with key functional traits. Runs of heterozygosity (ROHet) are commonly associated with balance selection, which can help us understand the adaptive evolutionary history of domestic animals. In this study, we investigated ROHs and ROHets in 88 Tunchang pigs. We also compared the estimates of inbreeding coefficients in individuals calculated based on four methods. In summary, we detected a total of 16 ROH islands in our study, and 100 genes were found within ROH regions. These genes were correlated with economically important traits such as reproduction (e.g., SERPIND1, HIRA), meat quality (e.g., PI4KA, TBX1), immunity (e.g., ESS2, RANBP1), adaption to heat stress (TXNRD2 and DGCR8), and crude food tolerance (TRPM6). Moreover, we discovered 18 ROHet islands harbouring genes associated with reproduction (e.g., ARHGEF12, BMPR2), immune system (e.g., BRD4, DNMT3B). These findings may help us design effective breeding and conservation strategies for this unique breed.

Phytochemical and Proximate Analysis of Sweet Potato (Ipomea batatas) Leaves Aqueous Extract and Its Prophylatic Effects on Pseudomonas aeruginosa Infected Catfish (Clarias gariepinus)

The phytochemical and proximate analysis of sweet potato (Ipomea batatas) leaves were carried out to ascertain its bio-active compounds and proximate composition, and their importance in aquaculture. Subsequently, four different feeds were produced from a thirty-five (35) percent crude protein feed using I. batatas aqueous leaves extracts as follows: Do (Oml/kg); D1 (50ml/kg); D2 (100ml/kg) and D3 (150ml/kg). One hundred and fifty (150) sub-adult Clarias gariepinus were distributed to five groups in triplicate and designated as: D+ve (positive control); D-ve (negative control); D1; D2 and D3. While D+ve and D-ve were fed Do, D1 – D3 were fed 50ml/kg – 150ml/kg respectively. After eight weeks of feeding ten (10) fish from D-ve, D1 – D3 were infected intraperitoneal, with 1.5ml of 15 x 1010cfu/ml over night grown Pseudomonas aeruginosa and the fish in D+ve was not infected. After one week post infection period, the prophylactic effects of the I. batatas leaves extract were evaluated on the experimental fish following assessments on survival rate, disease resistance, condition factor and physicochemical parameters of the experimental waters. The results indicates as follows: proximate composition of I. batatas leaves contains fat, crude protein, crude fibre, ash and carbohydrate at different percentages, but they were higher in content in the dried leaves, but reverse was the case for moisture content. Phytochemical content of I. batatas leaves contains high percentage of alkaloids, phenols, flavonoids and Saponins with noticeable quantities of tannins, anthraquinones and coumarins; the survival rate and disease resistance indicates that D-ve recorded 46.66+11.54% and 0+0.00% respectively, while D+ve and D1 – D3 had 100+0.00% in both parameters; there were no significant difference in the dissolve oxygen, temperature and pH D+ve, D-ve and D1 – D3 but the value in D-v were lower compared to the rest. The values for conductivity and total dissolve solids (TDS) were significantly higher in D1-D3 compared to D+ve and D-ve, but the value of TDS was significantly lower in D+ve.

Egg Quality and Fecundity of Clarias gariepinus Broodstock Cultured at Different Water Depths in Indoor Concrete Tanks

Aims: To investigate the fecundity and egg quality of C. gariepinus broodstock raised at 0.50 m, 0.75 m and 1.0 m pond water depth. Study Design: Treatments were assigned using complete randomized design. Place and Duration of Study: Fish Farm Complex of the Akwa Ibom State University (AKSU), Nigeria. Methodology: Nine female broodstock of C. gariepinus averaging 2.51 – 2.53 kg and 64.30 – 67.24 cm were raised for six months at 0.50 m, 0.75 m and 1.0 m pond water depth; referred to as treatments A, B and C, respectively Experimental fish were fed 42% crude protein commercial feed. The fecundity, relative fecundity, gonadosomatic index (GSI), egg weight and size were assessed. Results: The results revealed that the egg quality significantly (P=.00) increased with the water depth of the broodstock culture tank. Egg weight and GSI values from treatment C (363.40±0.57 g and 14.40±0.01 %, respectively) were significantly (P = .007) higher than those of treatment A (267.30±0.06 g and 10.66± 0.06 %, respectively) but showed no significant difference with those of Treatment B (331.07±1.20; 13.09±0.04 %). The corresponding egg diameter (1.01±00; 1.08±0.03 and 1.21± 0.01g), fecundity and relative fecundity of broodstock also increased with pond water depth (P = .003): 182,120.0±503.67, 72.66±0.40 &gt; 185,618.3± 745.98, 73.37±0.18 &gt; 188, 967.1± 295.19, 74.89±0.18, respectively. Conclusion: The water depth of the broodstock maintenance pond enhances fecundity and egg quality; it is better at 1.0 m depth for successful fry production. Broodstock may be maintained at lower pond water depths for growth purposes; prior to breeding.

Semi-supervised learning for predicting multivariate attributes of process units from small labeled and large unlabeled data sets with application to detect properties of crude feed distillation unit

In a refinery, the accurate estimation of feed properties is crucial for precise real-time optimization (RTO), and thus, developing models for real-time estimation of crude feed properties from plant measurements remains a challenge. The unbalanced dataset arising from varying variable collection frequencies hinders estimation from plant data. To address these challenges, this study initially proposes two novel algorithms, the clustering co-training semi-supervised learning (CCoT-SSL) and stacked co-training semi-supervised learning (SCoT-SSL), to solve the unbalanced dataset problem. In contrast to prior work, this study tackles the estimation of multivariate attributes when available data comprises small labeled and large unlabeled data with a “cascade shape” structure and illustrates the proposed methods by estimating Crude Distillation Units (CDU). Results indicate that CCoT-SSL excels when the base learners are judiciously selected, which is essential for the real-time optimization of CDU and refinery operations.

Выращивание суданской травы на дерново-подзолистых песчаных почвах в условиях радиоактивного загрязнения

The results of three years of field research on the effect of potash fertilizers on the yield of green and haylage and the quality indicators of Sudanese grass are presented. The yield of green mass of Sudanese grass in the experiment was 10.3–12.2 t/ha, grain haylage — 9.4–11.0 t/ha, depending on the dose of potassium fertilizers. The maximum yield of green mass and grain haylage of Sudanese grass was noted in the variant with the addition of K240. The highest collection of crude protein (214.1 kg/ha), feed units (1.37 thousand) and metabolizable energy (21.3 GJ/ha) and the content of metabolizable energy per 1 kg of feed (8.0 MJ) were noted in the variant with the addition of potassium at a dose of 240 kg/ha. The content of crude protein in green mass increased with increasing potassium dose. The highest content of 137Cs (224 Bq/kg) was observed in the control variant. Potassium fertilizers reduced the entry of radionuclide into the crop. In general, according to the experiment, the content of 137Cs in the feed did not exceed the permissible level (400 Bq/kg).

Highly Selective Acetylene‐to‐Ethylene Electroreduction Over Cd‐Decorated Cu Catalyst with Efficiently Inhibited Carbon‐Carbon Coupling

AbstractElectrochemical acetylene reduction (EAR) employing Cu catalysts represents an environmentally friendly and cost‐effective method for ethylene production and purification. However, Cu‐based catalysts encounter product selectivity issues stemming from carbon‐carbon coupling and other side reactions. We explored the use of secondary metals to modify Cu‐based catalysts and identified Cd decoration as particular effective. Cd decoration demonstrated a high ethylene Faradaic efficiency (FE) of 98.38 % with well‐inhibited carbon‐carbon coupling reactions (0.06 % for butadiene FE at −0.5 V versus reversible hydrogen electrode) in a 5 vol % acetylene gas feed. Notably, ethylene selectivity of 99.99 % was achieved in the crude ethylene feed during prolonged stability tests. Theoretical calculations revealed that Cd metal accelerates the water dissociation on neighboring Cu surfaces allowing more H* to participate in the acetylene semi‐hydrogenation, while increasing the energy barrier for carbon‐carbon coupling, thereby contributing to a high ethylene semi‐hydrogenation efficiency and significant inhibition of carbon‐carbon coupling. This study provides a paradigm for a deeper understanding of secondary metals in regulating the product selectivity of EAR electrocatalysts.

Highly Selective Acetylene-to-Ethylene Electroreduction Over Cd-Decorated Cu Catalyst with Efficiently Inhibited Carbon-Carbon Coupling.

Electrochemical acetylene reduction (EAR) employing Cu catalysts represents an environmentally friendly and cost-effective method for ethylene production and purification. However, Cu-based catalysts encounter product selectivity issues stemming from carbon-carbon coupling and other side reactions. We explored the use of secondary metals to modify Cu-based catalysts and identified Cd decoration as particular effective. Cd decoration demonstrated a high ethylene Faradaic efficiency (FE) of 98.38 % with well-inhibited carbon-carbon coupling reactions (0.06 % for butadiene FE at -0.5 V versus reversible hydrogen electrode) in a 5 vol % acetylene gas feed. Notably, ethylene selectivity of 99.99 % was achieved in the crude ethylene feed during prolonged stability tests. Theoretical calculations revealed that Cd metal accelerates the water dissociation on neighboring Cu surfaces allowing more H* to participate in the acetylene semi-hydrogenation, while increasing the energy barrier for carbon-carbon coupling, thereby contributing to a high ethylene semi-hydrogenation efficiency and significant inhibition of carbon-carbon coupling. This study provides a paradigm for a deeper understanding of secondary metals in regulating the product selectivity of EAR electrocatalysts.

Biochemical, molecular, and physiological assessments of crude oil dietary exposure in sub-adult red drum (Sciaenops ocellatus)

A 14-day exposure study in which sub-adult red drum (Sciaenops ocellatus) were fed a petroleum crude oil-treated pellet feed was conducted to assess the potential effects of ingesting an oil-contaminated food source. Though food consumption decreased, significant polycyclic aromatic hydrocarbons accumulated in the body and liver, which did not affect the body and liver's fatty acid composition. In the red drum given the crude oil-treated feed, a significant decrease in the RNA:DNA growth rate index was noted, while only subtle changes in body and liver lipid composition were seen. Differentially expressed gene analysis in the liver demonstrated a significant down-regulation of leptin and up-regulation of the aryl hydrocarbon receptor nuclear translocator-like protein 1. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses indicated enrichment of terms and pathways associated with cholesterol biosynthesis and oxidative stress. Ingenuity Pathway Analysis further predicted activation of seven pathways associated with cholesterol biosynthesis. Measured oxidative stress biomarkers in the blood indicated decreased systemic antioxidants with increased lipid peroxidation. The results of this study suggest that dietary oil exposure alters the signaling of biological pathways critical in cholesterol biosynthesis and disruptions in systemic oxidative homeostasis.

Identification of genomic characteristics and selective signals in Guizhou black goat

BackgroundGuizhou black goat is one of the indigenous black goat breeds in the southwest region of Guizhou, China, which is an ordinary goat for mutton production. They are characterized by moderate body size, black coat, favorite meat quality with tender meat and lower odor, and tolerance for cold and crude feed. However, little is known about the genetic characteristics or variations underlying their important economic traits.ResultsHere, we resequenced the whole genome of Guizhou black goat from 30 unrelated individuals breeding in the five core farms. A total of 9,835,610 SNPs were detected, and 2,178,818 SNPs were identified specifically in this breed. The population structure analysis revealed that Guizhou black goat shared a common ancestry with Shaanbei white cashmere goat (0.146), Yunshang black goat (0.103), Iran indigenous goat (0.054), and Moroccan goat (0.002). However, Guizhou black goat showed relatively higher genetic diversity and a lower level of linkage disequilibrium than the other seven goat breeds by the analysis of the nucleotide diversity, linkage disequilibrium decay, and runs of homozygosity. Based on FST and θπ values, we identified 645, 813, and 804 selected regions between Guizhou black goat and Yunshang black goat, Iran indigenous goat, and cashmere goats. Combined with the results of XP-EHH, there were 286, 322, and 359 candidate genes, respectively. Functional annotation analysis revealed that these genes are potentially responsible for the immune response (e.g., CD28, CD274, IL1A, TLR2, and SLC25A31), humility-cold resistance (e.g., HBEGF, SOSTDC1, ARNT, COL4A1/2, and EP300), meat quality traits (e.g., CHUK, GAB2, PLAAT3, and EP300), growth (e.g., GAB2, DPYD, and CSF1), fertility (e.g., METTL15 and MEI1), and visual function (e.g., PANK2 and NMNAT2) in Guizhou black goat.ConclusionOur results indicated that Guizhou black goat had a high level of genomic diversity and a low level of linkage disequilibrium in the whole genome. Selection signatures were detected in the genomic regions that were mainly related to growth and development, meat quality, reproduction, disease resistance, and humidity-cold resistance in Guizhou black goat. These results would provide a basis for further resource protection and breeding improvement of this very local breed.

Yem bezelyesi çeşitlerinin farklı fenolojik dönemlerdeki verim ve kalite özellikleri

Agricultural areas that rely on a single crop for production experience negative soil characteristics, while the benefits of these locations are further diminished by short-term winter fallows. In the ecological conditions of the Aegean Region, cotton-cotton and maize-maize production patterns can be given as examples of this type of production. With the adoption of a sustainable agriculture approach in recent years, the use of winter annual forage crops is quite important in terms of preventing this situation. The inclusion of forage pea in the production patterns both contributes positively to the soil properties and is a potential source of quality roughage. In line with this information, 8 different forage pea varieties (Kirazlı, Ulubatlı, Ürünlü, Gölyazı, Özkaynak, Töre, Taşkent, GAP Pembesi) were harvested at 3 different phenological stages (10%, 50%, 100% flowering) in Aydın ecological conditions. Some agronomic characteristics such as plant height (cm), stem diameter (mm), herbage yield (kg da-1) were measured in the experiment. After the measurements, ADF (%), NDF (%), ADL (%), protein properties and relative feed value were determined. While lower values were found in terms of yield and fiber values in early mowing, higher values were found in terms of crude protein ratio and relative feed value. At the same time, the variety-environment interactions showed differences in both years. Our results demonstrated that 100% flowering is preferable in terms of yield. Differences were observed among the varieties according to yield and quality characteristics. In terms of herbage and crude protein yields, Töre, Taşkent and GAP Pembesi were the most prominent common varieties. In terms of relative feed value, Ulubatlı and Ürünlü are the varieties with high values.

FORAGE YIELD AND QUALITY CHARACTERISTICS OF WINTER LEGUME / GRASS MIXTURES HARVESTED AT DIFFERENT PHENOLOGICAL STAGES

Winter forage crop mixtures are very important sources of quality forage as well as the benefits they bring to the soil and the main crop. In areas where year-round production is carried out, leaving the soil fallow during the winter months and producing maize-maize or cotton-cotton causes fatigue in the soil and facilitates the increase of pests. For this purpose, forage yield and quality characteristics of 12 different winter forage crop applications (4 pure and 8 mixtures) were investigated between 2014-2016 in Büyük Menderes basin. The experiment was designed according to the split-plot experimental design in randomized blocks and mowing operations were carried out in 2 different phenological periods with 4 replications. Hay yield (kg da-1), ADF (%), NDF (%), ADL (%), crude protein ratio (%), crude protein yield (kg da-1) and relative feed value averages were measured. According to the results obtained from the experiment, there are differences between crude protein ratio and relative feed values. When analyzed in line with the production purpose, 75% forage pea + 25% oat mixtures stand out in terms of crude protein yield, while 55% forage pea + 45% annual ryegrass stands out in terms of relative feed value. Due to the changes in mowing times depending on the characteristics, it is thought that it would be ideal to perform mowing operations between 50%-100% flowering.

Industrial crude bioethanol dehydration to ethylene: Doping ZSM-5 to enhance selectivity and stability

Although the conversion of bioethanol into light olefins is one of the most studied processes in biorefinery schemes, there is a need to develop materials more capable of operating at industrial conditions (WHSV > 20 h−1 crude bioethanol feed). Hence, in this study, we dehydrated crude bioethanol samples derived from sugarcane fermentation to produce ethylene over a series of H-ZSM-5 zeolites. Among them, H-ZSM-5 with different Si/Al ratios (26, 280, and 371) and doped with Ce and Cu were tested on the catalytic activity and stability. Accordingly, a 26 Si/Al ratio showed full conversion and ethylene selectivity at 300 °C with a WHSV of 30.2 h−1. When doping the zeolites, a decrease in relative crystallinity and a higher amount of acid sites were observed, which affected the interaction with reactants. This interaction was deeply analyzed by the in-situ DRIFTS, which showed that ethanol adsorption is lower for doped zeolites, but the desorption rate is higher, showing higher stability over longer reaction times. Therefore, the H-ZSM-5 with a Si/Al ratio of 26 and doped with Ce maintained its activity and improved its selectivity over 140 h under more drastic conditions of WHSV (42.3 h−1). These results elucidate that Ce-doped H-ZSM-5 zeolites can improve stability and represent a starting point for large-scale crude bioethanol conversion.

Production of Light Naphtha by Flash Distillation of Crude Oil

The escalating global demand for sustainable, renewable energy sources has catalyzed research into advanced refining processes, particularly focusing on the generation of essential raw materials like light naphtha. This paper delves into the production of light naphtha via the flash distillation of crude oil, underlining its critical role in fulfilling the petrochemical industry's requirements. The research delineates the fundamentals of flash distillation, incorporating both physical and mathematical models, with a specific emphasis on Raoult's Law, to demystify the hydrocarbon separation process in crude oil. The mathematical framework encompasses material and energy balances, coupled with the application of liquid-vapor equilibrium equations, thereby shedding light on the thermodynamic principles steering this procedure. The progression of this study involved analyzing the distillation curve of the referenced crude oil and identifying the pseudo-components representative of the involved hydrocarbons. Utilizing the DWSIM commercial simulator, the flash distillation process of Nemba crude oil was simulated, taking into account diverse operational conditions and thermodynamic models. The outcomes were juxtaposed with industrial datasets, demonstrating a significant alignment and affirming the simulation's predictive efficacy. A parametric sensitivity analysis was conducted to refine light naphtha yield, elucidating the effect of variables like the temperature of crude oil feed and naphtha separator feed on the process efficiency. The response surface methodology underscored the feasibility of augmenting naphtha production under certain conditions. Furthermore, this study assessed the impacts of employing two distinct thermodynamic models – the Soave-Redlich-Kwong (SRK) and Peng-Robinson (PR) equations of state. This analysis revealed minimal discrepancies in physical parameters, confirming the simulation's robustness and the reliability of both models. The findings of this paper validate the efficacy of flash distillation in light naphtha production, with numerical simulation emerging as a potent tool for enhancing process optimization and predictive analysis. These insights not only contribute to a deeper understanding of environmental sustainability but also offer strategies for maximizing light naphtha production in the oil industry. In conclusion, the results from this investigation significantly advance our comprehension of phase equilibrium profiles and their relationship with the applied thermodynamic state equations, thereby enriching the quality of the results.

Pinch and exergy assessment of an innovative hydrogen and methane purification process configuration based on solar renewable energy

Energy recovery from waste sources and developing new high-performance systems are essential to minimize energy consumption. A novel purification structure is developed to produce hydrogen and liquid natural gas (LNG) using exhaust gases from various industries, mixed refrigeration system, organic Rankine cycle (ORC), and solar energy sources. Solar parabolic trough collectors are used to supply energy in the low-temperature ORC. The proposed system produces 1.922 kg/s hydrogen with purity of 94.25 mol% and 1.777 kg/s LNG as the main product by consuming 10.56 kg/s crude hydrogen feed gas. The LNG and pure hydrogen specific power consumption (SPC) are 0.4111 and 0.3803 kWh/kg, respectively. The SPC of the sum of both products is obtained at 0.1975 kWh/kg. The methane and hydrogen recovery factors are 94.80% and 98%, respectively, indicating maximum methane and hydrogen absorption of the crude hydrogen feed gas. The exergy analysis indicates that the total exergy destruction of the integrated system is calculated at 5561 kW, and its exergy efficiency is obtained as 28.56%. The heat exchanger networks for the HE1, HE2, HE3, HE4, and HE6 multi-stream heat exchangers are extracted through the pinch strategy. The multi-stream heat exchangers have 8, 13, 6, 8, and 2 simple heat exchangers. The outcome results obtained from the parametric study is a 25.88% increase in the production rate of the main products (LNG and pure hydrogen). In addition, when the ratio of LNG to fuel gas increases by 48.08%, the ratio of main product to by-product increases from 54 to 62 mol%. By performing parametric analysis, it can be concluded that increasing the hydrogen content of the crude feed improves the performance of the system.

The Effect Of Liquid Organic Fertilizer (Lof) From Rice Washing Water and Coconut Water Using Em4 On The Growth Of Chorella sp. At Laboratory Scale

Chlorella sp. has significantly higher nutritional content compared to artificial feed. To obtain Chlorella sp. as a natural feed, it was necessary to cultivate pure phytoplankton to meet the availability of crude feed in sufficient quantities. In conducting the cultivation, there was a need for liquid organic fertilizer (LOF) that could be easily obtained and was available in nature, which was liquid organic fertilizer made from a mixture of rice washing water and coconut water fermented using EM4. This research aimed to determine the density of Chlorella sp. using liquid organic fertilizer from rice washing water, and coconut water fermented using EM4 and the effect of the best fertilizer dosage on the growth of Chlorella sp. This research used a Completely Randomized Design (CRD) consisting of 4 treatments with four replications. The highest average cell density of Chlorella sp. throughout the research was obtained in treatment C (15 ml dosage), followed by treatment B (10 ml dosage), treatment D (20 ml dosage), and the lowest in treatment A (control). The application of liquid organic fertilizer from rice washing water and coconut water significantly affected the density of Chlorella sp. (p &lt;0.05). The highest density was recorded on day 6 in treatment C with a dosage of rice washing water and coconut water of 15 ml, with a population density of 12,466.25 x 104 cells/ml.

Determination of Feed Yield and Quality Parameters of Bermudagrass (Cynodon dactylon L. (Pers.)) Populations Collected from Natural Flora

A two-year study (2020–2021) was conducted in the Erzurum province to investigate the feed quality parameters of 102 genotypes of Bermudagrass (Cynodon dactylon) collected from different locations in natural flora. Two control cultivars were also examined in this study, namely Coastal and Survivor. Parameters such as the fresh herbage weight, dry herbage weight, crude protein (CP) ratio, acid detergent fiber (ADF) ratio, neutral detergent fiber (NDF) ratio, and relative feed values (RFVs) were analyzed. In the first year of this study, Bermudagrass populations collected from natural flora were rooted in pots under greenhouse conditions. In the second year, the rooted plants were transplanted into experimental fields at the Atatürk University Plant Production Implementation and Research Center. The present genotypes generally had superior crude protein, ADF, NDF ratios, and relative feed values (RFVs) than the control cultivar. The fresh herbage weights ranged from 9.20 to 95.37 g per plant, while the dry herbage weights varied from 5.22 to 45.24 g per plant. The findings of this study showed that most of the genotypes collected from natural flora had superior feed quality parameters to the control genotypes.

Effects of substitution of fermented chicken litter with concentrate on nutrient digestibility and performance of sheep

The study aimed to investigate the effects of supplementing fermented chicken litter on feed consumption, nutrient digestibility (dry matter/DM, organic matter/OM, crude fiber/CF, extract ether/EE, crude protein/CP), total digestible nutrients (TDN), and average daily gain (ADG) in sheep. A completely randomized design with 4 treatments and 3 replications, namely T0 = concentrate without the addition of fermented litter, T1 = 90% concentrate + 10% fermented litter, T2 = 80% concentrate + 20% fermented litter, T3 = 70% concentrate + 30% fermented litter and T4 = 60% concentrate + 40% fermented litter was used. The parameters studied were dry matter digestibility (DMD), organic matter digestibility (OMD), extract ether digestibility (EED), crude fiber digestibility (CFD), crude protein digestibility (CPD), TDN, feed consumption and average daily gain. The results revealed that sheep fed different levels of fermented litter did not affect OMD, DMD, EED, CPD, CFD, TDN, dry matter consumption, and average daily gain (ADG). It was concluded that fermented chicken litter can be incorporated in sheep diet, without considerable negative effects.