Factor Productivity Research Articles

Data and contemporary economics: role, paradox and development

PurposeA more accurate comprehension of data elements and the exploration of new laws governing contemporary data in both theoretical and practical domains constitute a significant research topic.Design/methodology/approachBased on the perspective of evolutionary economics, this paper re-examines economic history and existing literature to study the following: changes in the “connotation of production factors” in economics caused by the evolution of production factors; the economic paradoxes formed by data in the context of social production processes and business models, which traditional theoretical frameworks fail to solve; the disruptive innovation of classical theory of value by multiple theories of value determination and the conflicts between the data market monopoly as well as the resulting distribution of value and the real economic society. The research indicates that contemporary advancements in data have catalyzed transformative innovation within the field of economics.FindingsThe research indicates that contemporary advancements in data have catalyzed disruptive innovation in the field of economics.Originality/valueThis paper, grounded in academic research, identifies four novel issues arising from contemporary data that cannot be adequately addressed within the confines of the classical economic theoretical framework.

Exploring the Relationship Between Time Series of Sentinel-1 Interferometric Coherence Data and Wild Edible Mushroom Yields in Mediterranean Forests

Edible wild mushrooms constitute a valuable marketable non-wood forest product with high relevance worldwide. There is growing interest in developing tools for estimation of mushroom yields and to evaluate the effects that global change may have on them. Remote sensing is a powerful technology for characterization of forest structure and condition, both essential factors in triggering mushroom production, together with meteo-climatic factors. In this work, we explore options to apply synthetic aperture radar (SAR) data from C-band Sentinel-1 to characterize, at the plot level, wild mushroom productive forests in the Mediterranean region, which provide saprotroph and ectomycorrhizal mushrooms. Seventeen permanent plots with mushroom yield data collected weekly during the productive season are characterized with dense time series of Sentinel-1 backscatter intensity (VV and VH polarizations) and 6-day interval interferometric VV coherence during the 2018–2021 period. Weekly-regularized series of SAR data are decomposed with a LOESS approach into trend, seasonality, and remainder. Trends are explored with the Theil-Sen test, and periodicity is characterized by the Discrete Fast Fourier transform. Seasonal patterns of SAR time-series are described and related to mycorrhizal and saprotroph guilds separately. Our results indicate that time series of interferometric coherence show cyclic patterns which might be related with annual mushroom yields and may constitute an indicator of triggering factors in mushroom production, whereas backscatter intensity is strongly correlated with precipitation, making noisy signals without a clear interpretable pattern. Exploring the potential of remotely sensed data for prediction and quantification of mushroom yields contributes to improve our understanding of fungal biological cycles and opens new ways to develop tools that improve its sustainable, efficient, and effective management.

Endothelial dysfunction in combination of occupational pathology of the respiratory system and atherosclerosis in coal industry workers

Introduction. The increasing prevalence of cardiovascular pathology among industrial workers determines the importance of studying not only occupational diseases, but also their combination with diseases of the circulatory system. Endothelial dysfunction is a key link in the pathogenesis of atherosclerosis. Evaluation of endothelial function indicators in occupational respiratory diseases in combination with atherosclerosis in workers of the coal mining industry is an urgent task. The study aims to consider the indicators of endothelial function in miners with occupational respiratory diseases in combination with atherosclerosis. Materials and methods. The authors have examined 88 miners with previously diagnosed occupational respiratory diseases (chronic dust bronchitis, anthracosilicosis, chronic obstructive pulmonary disease), 45 of them showed signs of atherosclerosis. There were two comparison groups without signs of atherosclerosis: 44 miners who work long-term in harmful working conditions, without lung pathology (control group) and 42 residents of Novokuznetsk who have never worked in harmful working conditions, and without lung pathology (unexposed group). Results. We found that miners with occupational respiratory diseases in combination with atherosclerosis had several forms of endothelial dysfunction: vasomotor (decreased synthesis of nitric oxide, increased endothelin-1 levels), hemostatic (increased levels of Willebrand factor), adhesive (increased levels of endothelial adhesion molecules sVCAM-1). The development of respiratory insufficiency in miners with occupational respiratory diseases increases endothelial dysfunction: miners with respiratory insufficiency have lower levels of nitric oxide (NO), higher levels of endothelin-1 and endothelial adhesion molecules sVCAM-1 than miners without respiratory insufficiency. There are correlations between indicators of endothelial function and production factors: with work experience in harmful working conditions, the level of the average concentration of coal-rock dust in the workplace and the frequency of exceeding the maximum permissible concentration of coal-rock dust. Limitations. The study is limited to a sample of workers in the main professions of coal mines who were examined at the Research Institute of Complex Hygiene Problems and Occupational Diseases, aged 40 to 54 years, with more than 15 years of experience working in underground dust conditions. Conclusion. Miners with occupational respiratory diseases in combination with atherosclerosis develop several forms of endothelial dysfunction: vasomotor, hemostatic, adhesive. The development of respiratory failure increases endothelial dysfunction. Ethics. This medical study involving a human as a subject was carried out in compliance with the Ethical principles presented in the latest version of the Helsinki Declaration, developed by the World Medical Association.

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.

Assessing the Carbon Intensity of e-fuels Production in European Countries: A Temporal Analysis

The transport sector heavily relies on the use of fossil fuels, which are causing major environmental concerns. Solutions relying on the direct or indirect use of electricity through e-fuel production are emerging to power the transport sector. To ensure environmental benefits are achieved over this transition, an accurate estimation of the impact of the use of electricity is needed. This requires a high temporal resolution to capture the high variability of electricity. This paper presents a previously unseen temporal analysis of the carbon intensity of e-fuels using grid electricity in countries that are members of the European Network of Transmission System Operators (ENTSO-E). It also provides an estimation of the potential load factor for producing low-carbon e-fuels according to the European Union legislative framework. This was achieved by building on top of the existing EcoDynElec tool to develop EcoDynElec_xr, a python tool enabling—with an hourly time resolution—the calculation, visualisation, and analysis of the historical time-series of electricity mixing from the ENTSO-E. The results highlight that, in 2023, very few European countries were reaching low carbon intensity for electricity that enables the use of grid electricity for the production of green electrolytic hydrogen. The methodological assumptions consider the consumption of the electricity mix instead of the production mix, and the considered time step is of paramount importance and drastically impacts the potential load factor of green hydrogen production. The developed tools are released under an open-source license to ensure transparency, result reproducibility, and reuse regarding newer data for other territories or for other purposes.

COMPUTER SIMULATION OF ELECTRICALLY CONDUCTING PROPERTIES OF MATERIAL FOR PERSONAL PROTECTION EQUIPMENT

The article presents an analysis of production factors that have a harmful effect on the health of workers. It has been established that one of the leading factors is an increased electrostatic field that occurs when a static charge accumulates on the surface of materials. An increased level of the electrostatic field can lead to various negative consequences for workers’ health. For full antistatic protection at work, not only special tools and workplaces are needed, but also special footwear made of conductive materials with high surface resistance, as well as other personal protective equipment. A computer model for simulating the occurrence and development of an electrical breakdown in a protective material for personal protective equipment is described. The model is based on energy concepts of the occurrence and development of a discharge, taking into account the statistical heterogeneity of the material’s electrical conductivity. The process of breakdown development is considered as a special case of the percolation effect and a branching random process. The model makes it possible to find a relationship between the heterogeneity of the material and the threshold of its protective properties.

Progress in Agronomic Crops Lodging Resistance and Prevention: A Review

ABSTRACTCrop lodging is recognised as one of the yield‐limiting factors in agricultural production. Therefore, better understanding to improve lodging resistance and to prevent lodging‐induced losses in agronomic crops is necessary. Besides yield losses, lodging severely affects the crop harvesting process and increases the production cost. However, achieving the objective of higher crop yields and yield quality without increasing lodging risk is quite challenging. To this end, it is essential to interpret the underlying mechanism of plant stem buckling and failure of root anchorage and optimise the fundamental trade‐off between lodging resistance and yield performance in agronomic crops. In the present review, we made an effort to discuss recent and innovative research insights that guarantee greater lodging resistance along with advanced lodging prevention strategies while sustaining higher crop yield and yield quality.

Improvement of the functional layouts of multifunctional soil-cultivating sowing units

BACKGROUND: With the technology evolution, the use of combined machines and units has become more in demand. From the numerous studies that were carried out during the operation of machines of this type, it can be seen that the cost of raw materials and financial costs have been significantly reduced, and the number of other advantages has been identified as well. AIM: Improvement of the functional layouts of multifunctional tillage sowing units for a more optimal combination of structural layouts and parameters of its use. METHODS: Engineers use the method of changing working bodies designed as layouts aiming to turn the machines into the modules capable of performing various types of operations based on working conditions. Thanks to this method, sets of individual working bodies and combinations are prepared for any kind of conditions (soil, climate, etc.). In addition to the advantages, this system has a number of disadvantages. One of these is that at the factory-built modules that are part of the original basis of the unit cannot be fully adapted to environmental conditions and economic factors of production. In this regard, combination of structural layouts and selection of the necessary parameters become problem causing. It is difficult to choose necessary parameters that are capable of ensuring minimal losses and adjusting the unit to the necessary operating mode. The objects of study are the devices and production processes, the main task of which is performing tillage and sowing operations. The practical value of this study presented in the form of: building the algorithm capable of structuring the analysis and synthesis of the structural layout of the tillage-sowing unit to find the working links for various types of unit functions; finding the methods and improved combinations of working bodies, comparison of similar mechanical analogues with the original properties of systems. RESULTS: When studying the studies of Wilde, who gave a description of the combined units, as well as the studies of Runchev, who determined the generalization of the combined machines, the relevant typology of agricultural machinery was developed. In this typology, one of the most important characteristics is multifunctionality, which has developed from the need for the versatility of units and the compilation of combinations of several units. The developed technology contains a number of characteristics that are fundamental for the choice of agricultural machinery. CONCLUSION: As a result of the study, it was determined at which velocity of the unit the system is balanced.

Rethinking Amino Acid Nutrition of Black Soldier Fly Larvae (Hermetia illucens) Based on Insights from an Amino Acid Reduction Trial

Rearing black soldier fly larvae (BSFL) in order to utilize biogenic materials is of increasing interest in the context of sustainable animal production. However, little is known about the amino acid (AA) requirements of this animal species. Therefore, a feeding experiment with BSFL was conducted, in which lysine, methionine, cysteine, arginine, phenylalanine, or histidine was reduced by 65% or methionine was increased by 65%. Reductions in single AAs in the substrate did not negatively impact BSFL growth, while the addition of methionine improved the growth performance, indicating that methionine was a limiting nutritional factor for maximal productivity. Differences in dietary AA profiles had no impact on the AA profile of the BSFL biomass. However, balance calculations for individual AAs indicated that the substrate microbiome was capable of synthesizing and balancing those AAs for microbial protein synthesis. While both the BSFL and microbiome utilized all free AAs, suggesting that supplemental AAs can be effective additives in BSFL production, this microbial AA synthesis avoided the negative performance impacts of BSFL provoked by severe AA reductions. The quantification of these effects suggested that the microbiome could add up to 35% to the overall AA supply in order to overcome AA deficiency. This effect may not necessarily ensure maximal BSFL productivity, as demonstrated by the extra addition of methionine to the substrate. Our research indicated that BSFL nutrition should consider interactions between substrate composition and microbial activity.

Inequality in agricultural greenhouse gas emissions intensity has risen in rural China from 1993 to 2020.

Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality-measured as average GHG emissions per unit planted area-increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs.

Analisis Penambahan Jumlah Tenaga Kerja dalam Meningkatkan Pendapatan pada Mie Ayam Baso H. Lili Karawang

Revenue is the revenue earned through the results of economic activities related to the sales activities of production factors owned by the company. As known in the theory of production factors, the quantity of output associated with income directly depends on the amount of labor owned. In increasing production supported by efficient resources and running according to the system, appropriate income can be obtained from the level of production. Theoretically, a positive contribution of labor to the increase of business income can occur, especially by involving a large number of workers. This study was conducted to analyze the additional number of workers in increasing revenue at Baso H. Lili Chicken Noodle in Karawang. The type used in this research is descriptive quantitative. The results of this study indicate that Mie Ayam Baso H. Lili Karawang has experienced an increase in labor since the beginning of the business until now, initially only having 3 workers per branch as of 2005, but currently in 2023 it has approximately 7 to 15 workers in each branch. After the additional workforce, H. Lili Karawang's Baso Chicken Noodle business experienced an increase in income generated with an average of IDR Rp 588.858.818 or the same as around 408%.

An analysis of the rebound impact of energy consumption and the factors that influence it in China's agricultural productivity

With China's agricultural sector being a major contributor to both the national economy and energy consumption, the rebound effect—the phenomenon where energy efficiency improvements lead to increased energy use—poses significant challenges to sustainable energy use. The motivation for this study stems from the need to understand the extent of this rebound impact and its underlying drivers, particularly in the context of China's agricultural modernization efforts. This study examines the rebound effect of energy consumption in China's agricultural productivity and the factors influencing it over the period from 1990 to 2023. Using a Generalized Method of Moments (GMM) model, this research analyzes the relationship between energy consumption, agricultural productivity, and several influencing factors, including technological innovation, rural-urban migration, and financial development. The results reveal that (1) energy efficiency improvements have led to a significant rebound effect in China's agricultural sector, limiting potential energy savings, (2) technological advancements have mitigated the rebound effect to some extent, but the effect remains substantial, (3) rural-urban migration has contributed to labor shortages, increasing mechanization and energy demand, and (4) financial development has positively influenced both agricultural productivity and energy use, exacerbating the rebound effect. The study suggests that policymakers should focus on developing stricter energy efficiency standards and promoting technological innovations that reduce energy intensity in agriculture, while also addressing labor migration challenges to curb the rebound impact and achieve more sustainable agricultural growth.

Can companies' input of data factor eliminate investors' home biases?

Data as a new production factor plays an increasingly crucial role in influencing investor decision-making. This paper investigates how the data factor input, measured using a two-stage regression decomposition approach, impacts investors' home biases. Analyzing a sample of Chinese listed companies from 2012 to 2022, we find that: 1) companies' input of data factor effectively reduces investors' home biases; 2) this reduction is primarily driven by a decrease in information asymmetry; 3) the mitigating effect of data factor input is further strengthened by external factors such as heightened attention from analysts and stronger corporate governance. Additionally, our results reveal that this mitigating effect is more pronounced among companies facing high financing constraints, possessing low reputations, operating in low-technology industries, or located in regions with underdeveloped digital financial infrastructure. These findings offer new insights into underscore the critical role of data factor in shaping capital markets.

Technical and Economic Efficiency of Production Factors in Javanese Tobacco Farming: A Case Study of Belun Village, East Java

This study analyzes the technical and economic efficiency of production factors in tobacco farming in Belun Village, Temayang Subdistrict, Bojonegoro District, East Java. Using stochastic frontier software 4.1, the analysis was conducted with a sample of 87 Javanese tobacco farmers. The production inputs evaluated include land area, seeds, urea fertilizer, NPK fertilizer, NPK Phonska Plus fertilizer, labor, pesticides, and production output. The results indicate that the gamma elasticity coefficient for technical efficiency is 0.949, with all variables being statistically significant at the 1% level (t-table 2.64), except for pesticide input, which is significant at the 5% level (t-table 1.99). In the economic efficiency analysis, seedlings were identified as the inefficient input with an efficiency estimate (EE) of > 1 (52.4), while other inputs showed EE < 1. The study concludes that 94.9% of the inefficiency stems from production factors, while 5.1% is attributed to external factors. Moreover, the inputs used in Javanese tobacco farming are neither technically nor economically efficient. To achieve full technical efficiency, farmers should reduce inputs such as land area, NPK fertilizer, and NPK Phonska Plus fertilizer, while increasing the use of seeds, pesticides, urea fertilizer, and labor.

THE DEVELOPMENT OF INNOVATIVE DIGITAL ENTERPRISES IN THE ERA OF TRANSFORMATIONAL ECONOMIC CHANGES

The objective of this article is to examine the role of digital transformation processes in enhancing competitive advantages and accelerating economic growth. The objective is to demonstrate how the utilisation of digital technologies and the fulfilment of external environment requirements facilitate the innovation of products and services. The methodology entails an examination of the concept of digital transformation within the context of Ukraine's economy. This encompasses an investigation of the integration of production and distribution factors, an evaluation of the potential of digital enterprises, and the formulation of a model for the transformation of enterprises into innovative business entities. The findings indicate that digital transformation is a crucial factor in attaining competitive advantages and stimulating economic growth. The study identifies digital enterprises, equipped with end-to-end digital technologies and services, as a crucial factor in the implementation of effective digital changes. Furthermore, it offers a model for the transformation of traditional businesses into digital enterprises. The practical implications of this study are that businesses must address the barriers to digital change in order to achieve qualitative transformations. The findings indicate that the systematic overcoming of these barriers can facilitate successful digital transformations, which can enhance business performance and innovation. The article's value lies in its contribution to the understanding of how digital transformation can be integrated into business operations in a systematic manner, with a view to fostering innovation and growth. The study's originality lies in its proposal of a model for enterprise transformation and its identification of key barriers and strategies for effective digital change, tailored specifically to the Ukrainian economic context.

Analysis of Factors Influencing the Level of Income of UMKM Business Owners in the Food Sector in Medan Sunggal District

The income generated from an MSME business is greatly influenced by production factors, so this study also wants to see what factors influence the income of MSME actors.CFA model (Confirmatory Factor Analysis)where this model is used to summarize several variablesand continued using multiple linear regression. Analyzing the existing factors including capital, raw materials, technology, price, business location and labor with data obtained from 90 UMKM business actors in Medan Sunggal District. The results of the analysis of factors that determine raw materials, prices and labor as the largest contribution to multiple linear regression show that the influence of raw materials and prices is significant and labor has no significant influence on income

Optimization of fermentation conditions for physcion production of Aspergillus chevalieri BYST01 by response surface methodology.

This study aimed to optimize the culture conditions of the termite-derived fungus Aspergillus chevalieri BYST01 for the production of physcion, a characteristic component of the traditional herb rhubarb, which has been commercially approved as a botanical fungicide in China. First, potato dextrose broth was screened as the suitable basal medium for further optimization, with an initial yield of 28.0 mg/L. Then, the suitable carbon source, fermentation time, temperature, pH value, and the rotary shaker speed for physcion production were determined using the one-variable-at-a-time method. Based on the results of single factors experiments, the variables with statistically significant effects on physcion production were further confirmed using the Plackett-Burman design (PBD). Among the five variables, temperature, initial pH, and rotary shaker speed were identified as significant factors (P < 0.05) for physcion productivity in the PDB and were further analyzed by response surface methodology (RSM). Finally, we found that the maximum physcion production (82.0 mg/L) was achieved under the following optimized conditions:initial pH 6.6, rotary shaker speed of 177 rpm, temperature of 28 °C, and glucose concentration of 30 g/L in PDB medium after 11 d of fermentation. The yield of physcion under the optimized culture conditions was approximately threefold higher than that obtained using the basal culture medium. Furthermore, the optimum fermentation conditions in the 5-L bioreactor achieved a maximal physcion yield of 85.2 mg/L within 8 d of fermentation. Hence, response surface methodology proved to be a powerful tool for optimizing physcion production by A. chevalieri BYST01. This study may be helpful in promoting the application of physcion produced by A. chevalieri BYST01 to manage plant diseases.

Biotic Deterioration and Homogenization: Why It Matters

AbstractGlobally, locally, and regionally, there are different patterns of biotic diversity and community composition reflecting past evolutionary history shaped by differences in niches, productivity, climate, and other ambient factors, as well as migration barriers. Historically, humans have impacted and eroded these biotic patterns, notably by the impact of agriculture in a wide sense, but to an increasing extent also by logging, overharvesting, spreading of species, urbanization, and climate change. Besides causing (in most cases) a declining diversity, it also implies a biotic homogenization where ecosystem communities become spatially more similar, often by replacement of locally adopted specialist species with more widespread generalist species. Besides discussing these drivers of biotic degradation and homogenization, I also discuss why and how it matters both from a biocentric and anthropocentric point of view, how biotic and cultural homogenization are integrated via agricultural impacts, loss of habitats that also are home to indigenous people as well as by travel, trade, and consumption. In fact, the global cultural homogenization towards western consumerism is the overarching cause of biotic homogenization, biodiversity loss as well as climate change. Finally, solutions are discussed. There are local and regional means to counteract biotic losses and homogenization by retaining and restoring landscape elements, yet globally these trends can only be countered through systemic societal changes.

Phytochemical analysis, antibacterial and anti-diabetic activity of three different seaweed extracts

Aim: Marine seaweed contains potential phytochemical compounds that could able to cure different health issues in humans naturally. Hence the research was aimed to investigate the antibacterial and in vitro anti-diabetic activity of three different seaweed extracts. Methods: Phytochemical compounds like phenol, flavonoids, tannins and alkaloids were quantitatively identified. Antibacterial activity of the seaweed extracts were determined against five different test bacteria. In vitro anti-diabetic activity of the extracts were investigated based on its inhibition effect on the alpha-amylase and alpha-glucosidase activity. Findings: Phytochemical analysis showed more phenolic and flavonoid content in green and brown seaweed extracts and lesser content in red seaweed extract. Antibacterial activity of green and brown seaweed extracts showed good inhibitory zones against all test bacteria ranging from 22.9 ± 0.57 mm to 24.9 ± 0.57 mm (green seaweed extract) and 17.9 ± 0.57 mm to 21.6 ± 0.75 mm (brown seaweed extract) respectively. In vitro anti-diabetic activity of seaweed on the inhibition of enzymes showed promising results. Among the three types, green seaweed extracts showed maximum inhibition of α-Amylase and α-glucosidase activity of 86.6 ± 0.76 % and 82.9 ± 0.57 % respectively. Conclusion: Findings showed that the phytochemicals present in the methanolic extract of seaweeds attribute positively for different pharmacological properties like antibacterial, anti-oxidant and anti-diabetic activity. Optimizing the production factors would able to commercialize the seaweeds in drug forms and could be used for the treatment of various diseases in humans.

Effect of salinity stress on the morphological parameters of &lt;i&gt;Hura crepitans&lt;/i&gt; L. ameliorated with &lt;i&gt;Calapogonium mucunoides&lt;/i&gt; DESV. and Biochar

Salinity is one of the most serious limiting factors for plant growth and production. This study assessed the effect of salinity stress on the morphological parameters of Hura crepitans ameliorated with Calapogonuim mucunoides Desv. and Biochar. Standard methodology was adopted to examine physicochemical properties of the soil and morphological parameters of the plant. The physicochemicalproperties of the experimental soils was significant at p=0.01. Morphological parameters of shoot length of H. crepitans at 1% non-amended saline soil for week 6 and 7 recorded 4.03±4.03cm which indicated a significant reduction (p=0.01) when compared to control 15.70±3.35 and 19.50±4.43cm respectively. The amelioration of the saline soil at 0.001% KI with biochar and C. mucunoides (21.80±0.05 and 22.43±3.52cm) of H. crepitans shoot length was significant when compared to the control 21.00±4.00cm. The higher the concentration of salinity, the lower the petiole length of H. crepitans for amended treatments. The photosynthetic pigment 56.70±2.47 of H .crepitans at 0.001% was significant (p=0.05) when compared to the control 51.36±2.99.This results showed that salinity causes a detrimental effect on some plant growth parameters. However, amelioration of saline soil with C. mucunoides and biochar recorded a satisfactory remediation effect on the growth of H. crepitans. Based on this research, amelioration treatment such as C. mucunoides and biochar can be use to improve crops planted in saline soil.