Sustainable Production Research Articles

De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore

Domesticated herbivores are an important agricultural resource that play a critical role in global food security, particularly as they can adapt to varied environments, including marginal lands. An understanding of the molecular basis of their biology would contribute to better management and sustainable production. Thus, we conducted transcriptome sequencing of 100 to 105 tissues from two females of each of seven species of herbivore (cattle, sheep, goats, sika deer, horses, donkeys, and rabbits) including two breeds of sheep. The quality of raw and trimmed reads was assessed in terms of base quality, GC content, duplication sequence rate, overrepresented k-mers, and quality score distribution with FastQC. The high-quality filtered RNA-seq raw reads were deposited in a public database which provides approximately 54 billion high-quality paired-end sequencing reads in total, with an average mapping rate of ~93.92%. Transcriptome databases represent valuable resources that can be used to study patterns of gene expression, and pathways that are related to key biological processes, including important economic traits in herbivores.

Simultaneous stochastic optimisation of mining complexes: Integrating progressive reclamation and waste management with contextual bandits

ABSTRACT Managing environmental performance of waste dump facilities in mining complexes is an integral part of long-term production planning. Sustainable long-term production scheduling solutions are desired to mitigate risk and return the environment to a productive post-mining state. A simultaneous stochastic optimisation framework for long-term production scheduling in mining complexes is developed that integrates waste management and progressive reclamation. The waste dump placement schedule is jointly optimised with the extraction sequence, destination policy, and stockpiling decisions in a single stochastic mathematical programming framework. This includes the timing of progressive reclamation activities in parallel with production to enhance waste dump rehabilitation. Uncertainty related to the production of acid rock drainage is quantified by simulating geochemical properties of waste and managing the blending of uncertain waste properties within the optimisation framework. With respect to the framework for simultaneous stochastic optimisation, contextual bandits are explored to improve the metaheuristic solution approach and solve the corresponding large-scale optimisation model. The framework is tested in a multi-mine copper-gold mining complex leading to improved environmental performance. Risk of acid rock drainage is decreased by 52.5% in the waste dump facilities. Reclamation planning activities for meeting environmental requirements are scheduled prior to closure. The solution approach more effectively improves the objective function with contextual bandits leading to a 24% improvement in the study presented.

Towards Sustainable Agriculture: Integrating Agronomic Practices, Environmental Physiology and Plant Nutrition

Sustainable agriculture aims to meet the growing global demand for food without compromising environmental integrity. This review paper explores the integration of agronomic practices, environmental physiology, and plant nutrition as pathways toward sustainable crop production. Intensive agricultural practices have led to significant problems such as soil degradation, loss of biodiversity, and environmental pollution. Recent advancements in plant physiology have enhanced our understanding of plant growth and response to biotic and abiotic stresses. Optimizing crop production in a sustainable manner depends on insights into key processes like photosynthesis, water use efficiency, and nutrient uptake. This review discusses the role of plant growth-promoting microorganisms (PGPMs) as biofertilizers, providing an alternative to harmful agrochemicals. PGPMs can improve soil health and promote plant growth when applied to soil, seeds, or plant surfaces, reducing reliance on synthetic fertilizers and pesticides. Additionally, nanotechnology in agriculture is examined, illustrating how nanomaterials (NMs) and nano-based fertilizers can enhance nutrient absorption and increase crop yields. Beyond these scientific approaches, there is an urgent need to implement novel agricultural practices that support sustainability. The world population is growing at a disquieting rate, placing tremendous pressure on natural resources. This threatens future generations' access to nutritious food and clean air. Innovative approaches like climate-smart agriculture, organic farming, biodynamic agriculture, sustainable intensification, and regenerative agriculture, along with practices such as integrated farming systems, precision agriculture, integrated nutrient management, and integrated pest management, have proven to safeguard agricultural sustainability. By integrating these innovative approaches and practices, it is possible to meet the increasing demands for food while preserving the environment.

The influence of consumer behavior on sustainable marketing efforts

This concept paper explores the dynamic relationship between consumer behavior and sustainable marketing efforts. As consumers increasingly prioritize environmental and social responsibility, businesses are adapting their marketing strategies to meet these evolving demands. The paper provides insights into the influence of consumer attitudes, beliefs, and values on sustainable purchasing decisions, highlighting the growing market for environmentally friendly products and the importance of transparent communication about sustainability efforts. Through a review of existing literature, the paper identifies key trends, challenges, and opportunities for businesses seeking to align their marketing strategies with sustainability goals. It proposes a model for understanding the influence of consumer behavior on sustainable marketing efforts, emphasizing the role of marketing strategies in shaping consumer perceptions of sustainability and influencing purchasing behavior. While businesses face challenges such as the high cost of sustainable production and the complexity of supply chains, the paper also highlights opportunities to differentiate themselves in the market and build stronger relationships with environmentally conscious consumers. By understanding consumer preferences and values, businesses can develop marketing strategies that resonate with their target audience and drive positive change. In conclusion, consumer behavior has a significant impact on sustainable marketing efforts, and businesses must adapt their strategies to meet the demands of an increasingly socially and environmentally conscious consumer base. The paper provides a foundation for further research and offers practical insights for businesses looking to integrate sustainability into their marketing strategies and achieve long-term success in a rapidly changing market landscape.. Keywords: Consumer Behavior, Sustainability, Marketing.

Editorial: Opportunities and challenges for nanotechnology in sustainable agri-food production

Editorial: Opportunities and challenges for nanotechnology in sustainable agri-food production

Yield Comparison of Sweet Potato Grown in Four Commercial Organic Soils

Aims: The experiment was conducted to observe the effects on comparative yields of sweet potato (Ipomea batatas ‘Beauregard’) grown in four different soilless media. Study Design: Mention the design of the study here. Place and Duration of Study: Pullen Farm at Murray State University, in Murray, Kentucky, USA., between May 2018 and August 2018. Methodology: 16 3.048m x .3046m troughs (four of each treatment) each containing five sweet potato plants were established. No treatments received supplemental fertilization. Descriptive statistics and quantitative analysis were performed on yield characteristics of the sweet potato crop (sweet-potato tuber and biomass yields). Results: While a significant difference in mass of above-ground biomass between the treatments could not be determined, growth parameters of the Organiloc treatments (A, B) were marginally greater than treatments C and D (Table 1). The fresh weight of treatments A (38.91 t ha-1) and B (42.75 t ha-1) were statistically greater than treatment C (21.23 t ha-1). Treatment B was also statistically greater that treatment D (23.92 t ha-1). The number of tubers in treatment A and B were not significantly different than treatment D, but were significantly greater than treatment C (Fig. 2). Conclusion: The results of this one cropping season study suggest that yields of sweet potatoes grown in these two biochar-based treatments (A + B), in which they were statistically greater than the Miracle Gro treatment (C), and Treatment B was statistically greater than the Magic Dirt treatment (D), may help to fulfill the increasing demand for locally-produced food and agricultural products while providing an efficient means of disposing of agricultural waste products and may promote sustainable crop production and food security.

Design of intelligent agricultural landscape planning and ecological balance control system based on remote sensing images

Abstract With the modernization of agricultural production and the acceleration of urbanization, agricultural landscape planning and ecological balance control have become important issues in promoting sustainable development. Traditional agricultural production methods have problems such as resource waste, environmental pollution, and ecological damage. This article aimed to achieve scientific planning and management of agricultural landscapes, and promote the efficiency of agricultural production, rational utilization of resources, and protection of the ecological environment, thereby promoting sustainable agricultural development. This study first focused on denoising and feature extraction of agricultural remote sensing data images, using remote sensing technology to obtain agricultural landscape information. After that, artificial intelligence was adopted to achieve intelligent agricultural landscape planning, with the goal of maintaining ecological balance and promoting efficient, eco-friendly, and sustainable agricultural production. This study took the landscape of a certain city as an example to test the processing effect of remote sensing images, and it was proved that the effect was good. We tested the performance of an intelligent agricultural landscape planning and ecological balance control system based on remote sensing images. According to the experimental results, it can be concluded that the resource utilization efficiency of farmland A monitored by the intelligent agricultural landscape planning system using remote sensing image technology was 82%, while the traditional one was only 60%. This indicated that the collection effect of remote sensing image technology was much better than that of traditional technology. This article comprehensively and timely monitored and evaluated farmland through remote sensing image technology, including crop growth status, soil moisture, nutritional status, etc. The system can provide precise planting and management suggestions for farmers based on this information, and help them optimize farmland layout, crop selection, and irrigation management, thereby improving the production efficiency of farmland and crop yield.

Facile Fabrication of SrTiO3/In2O3 on Carbon Fibers via a Self-Assembly Strategy for Enhanced Photocatalytic Hydrogen Production

Photocatalytic water splitting by semiconductors is considered a promising and cost-effective method for achieving sustainable hydrogen production. In this study, a CF/SrTiO3/In2O3 photocatalytic material with a double-layer core–shell structure was developed. The experimental results indicated that the produced CF/SrTiO3/In2O3 composite fiber displayed superior photocatalytic hydrogen production performance, achieving a hydrogen evolution rate of approximately 320.71 μmol/g·h, which is roughly seven times higher than that of the CF/SrTiO3 fiber alone. The enhanced photocatalytic activity of the CF/SrTiO3/In2O3 fiber can be attributed to the heterojunction structure enriched with oxygen vacancies. It was found that these oxygen vacancies created defective states that served as traps for photogenerated electrons, facilitating their migration to the surface defect states and enabling the reduction of H+ in water to produce hydrogen. Furthermore, the synergy between the heterojunction structure and the conductivity of the carbon fiber promoted the generation and migration of photogenerated electrons, reduced the recombination of photogenerated electron–hole pairs, and ultimately improved photocatalytic hydrogen production. This study presents a new approach for designing efficient photocatalysts with surface oxygen vacancies on carbon fibers, providing new insights into the sustainable application of photocatalysts.

Beef on dairy: A case study of sustainable animal protein production

Human society has evolved over thousands of years, but in the last 35 years we have gained access to multiple advanced tech­nologies that can change how animal protein is produced. As members of society, we all have a responsibility to ourselves, our families, our neighbors, our friends and our fellow citizens to utilize the available technologies to provide a sustainable fu­ture. The word “sustainability” has been used freely by many, but I believe that it truly has only two meanings in our industry. For the producers of animal protein, it is the economic sustain­ability of the farmer producers. For the consumers of animal proteins, it is the production of that protein in a manner that derives in a highly nutritious product that is produced in an en­vironmentally friendly system.

The real subsumption of nature and cryopolitics: Temporal fixes in dairy farming in Southern Italy

Water buffaloes have a seasonal cycle of reproduction. Normally they tend to reproduce more when the daylight hours decrease. This seasonal reproduction also means that most of the buffalo calves would be born in autumn and winter in Italy where buffaloes are dairy animals, and milk production would be the highest in these seasons. However, consumer demand for the PDO (Protected designation of origin) mozzarella cheese is the highest in spring and summer. In order to deal with the imbalances between the seasonality of milk production and mozzarella consumption, and the strict regulations of the PDO cheese production, farmers and veterinarians resort to a temporal fix, and they regularly deseasonalise buffalo reproduction. However, there is an obvious discrepancy between the use of this and other fixes (cryotechnologies) generally associated with industrial agriculture, and the idea of traditional and sustainable food production. By engaging with relevant economic geography and political ecology literature, this paper investigates the temporal fixes in dairy farming and agri-food production through an in-depth empirical analysis of deseasonalisation, as a particular form of the real subsumption of nature, and cryopolitics in buffalo mozzarella cheese production in Southern Italy. The work presented in this article is based on multi-sited qualitative field research of buffalo farming and mozzarella cheese production in Campania region. This paper also has wider implications on how socio-ecological fixes shape ‘just-in-time’ animal agriculture and agri-food production.

Wind energy resource assessment and wind turbine selection analysis for sustainable energy production

The objective of this study is to perform an analysis to determine the most suitable type of wind turbine that can be installed at a specific location for electricity generation, using annual measurements of wind characteristics and meteorological parameters. Wind potential analysis has shown that the analyzed location is suitable for the development of a wind farm. The analysis was carried out for six different types of wind turbines, with a power ranging from 1.5 to 3.0 MW and a hub height set at 80 m. Wind power potential was assessed using the Weibull analysis. The values of the scale coefficient c were determined, and a large monthly variation was observed, with values ranging from 1.92 to 8.36 m/s and an annual value of 4.95 m/s. Monthly values for the shape coefficient k varied between 0.86 and 1.53, with an annual value of 1.07. Additionally, the capacity factor of the turbines was determined, ranging from 17.75 to 22.22%. The Vestas turbine, with a nominal power of 2 MW and a capacity factor of 22.22%, proved to be the most efficient wind turbine for the specific conditions of the location. The quantity of greenhouse gas emissions that will be reduced if this type of turbine is implemented was also calculated, considering the average CO2 emission intensity factor (kg CO2/kWh) of the national electricity system.

The Impact of COVID-19 on Consumer Perceptions of Local Food Market Channels

The COVID-19 pandemic had a profound impact on food systems. Despite disrupting conventional markets—such as grocery stores—farmers that focused on short supply chains found new market opportunities. As consumers increasingly became concerned with the safety of in-person shopping, some turned to purchasing directly from farmers and markets that carried products marketed as local, organic, and/or sustainable. With these changes in mind, I ask how consumer perceptions of local food systems (LFSs) changed in the two years after COVID-19. If consumers are more aware of local markets, farmers might reorient production to focus on local supply chains and sustainable production methods. To evaluate consumer perceptions, I use survey responses from residents in five communities in the US South in 2019 and 2022. Using a treatment effects model with propensity score matching, I show that residents became more aware of most local market channels, such as specialty retail stores and Community Supported Agriculture (CSA). Some residents were also more likely to have a positive perception of markets that provide fresh vegetables to low-income residents. Finally, residents wanted more investment into markets that make fresh, local products more available, such as community-owned groceries and CSA.

The Role of Alkali Cations on the Selectivity of 5-Hydroxymethylfurfural Electroreduction on Glassy Carbon.

In the past decade, organic electrosynthesis has emerged as an atom- and energy-efficient strategy for harvesting renewable electricity that provides exceptional control over the reaction parameters. A profound and fundamental understanding of electrochemical interfaces becomes imperative to advance the knowledge-based development of electrochemical processes. The major strategy toward an efficient electrochemical system is based on the advancement in material science for electrocatalysis. Studies on the complex interplay among electrode surface, electrolyte, and transformation intermediates have only recently started to emerge. It involves acquiring atomic-scale insights into the electrochemical double layer, for which the identity and concentration of composing ions play a crucial role. In this study, we present how the identity and concentration of alkali cations impact the selectivity of aldehyde functionality electroreduction. As a case-study transformation, we set the electrochemical conversion of 5-hydroxymethylfurfural (HMF), a promising biomass-derived feedstock for the sustainable production of polymer or fuel precursors. Our findings reveal a consistent trend of the selectivity shift towards 2,5-bis(hydroxymethyl)furan (BHMF) as a function of cation size and concentration, rationalized by specific cation adsorption at the glassy carbon (GC), followed by the increase in the electrode surface charge density.

An overview of alternative protein sources for ruminants in the tropical area

Abstract Investigating alternative protein sources for ruminants in tropical regions is crucial due to distinct climatic conditions and limited resources. Scientists, acknowledging the challenges, are exploring locally accessible alternatives to develop cost-effective and sustainable protein supplements for ruminant nutrition, emphasizing the importance of understanding the nutritional composition for advancing livestock husbandry sustainability. The aim of this research is to elucidate alternative local protein sources for ruminants in tropical areas and assess their effectiveness in promoting sustainable production and enhancing ruminant nutrition. Protein feed sources are essential for providing amino acids to animals and producing animal products such as meat, milk, and wool. Inadequate protein in animal feed may have a detrimental impact on rumen fermentation and animal output. Therefore, alternative protein sources have received increased attention in order to replace the main protein source. The alternative protein sources in this review were divided into five categories: agricultural biomass, fodder shrubs, biological protein and plant weeds, insect protein and agro-industry biomass. Furthermore, plant secondary compounds found in alternative protein sources might be used to modulate rumen fermentation and improve animal performance. By focusing on regional sources of protein, feed costs are reduced while availability is raised. Based on this analysis, it can be concluded that there are a number of alternative protein sources that might be used in place of primary protein sources and that they could support ruminant production in the face of several animal feed crises. However, the potential use of any protein source should be assessed in light of the country’s availability and animal production practices.

Paper mill wastes and biochar improve physiochemical properties and reduce heavy metals leaching risks in podzolic soils

Abstract Background: The incorporation of industrial wastes, such as wood ash and paper sludge, as soil amendments is vital for both environmental sustainability and agroecosystem productivity. Herein, we evaluated the effects of wood ash and paper sludge alone and in combination with biochar on the physicochemical properties and heavy metal leaching risks in podzolic soils.
Methods: The treatments included limestone (control), wood ash, paper sludge, wood ash+paper sludge, limestone+biochar, wood ash+biochar, paper sludge+biochar and wood ash+paper sludge+biochar, arranged in a 4x2 factorial design with three replicates. The Hydrus-1D model was employed to simulate the water movement under these soil amendments using leaching colums. 
Results: Overall, wood ash, paper sludge and biochar application significantly increased the pH of amended soil compared to control. Paper sludge amended treatments alone or in combination with biochar significantly decreased bulk density (8-17%) and increased the total porosity (14-25%). While biochar addition to wood ash and paper sludge significantly reduced the concentrations of Cd (by 6.42%), Co (by 10.95%), Cu (by 11.76%), Pb (by 30%) and Ni (by 3.75%) in the collected leachates. The treatment paper sludge + biochar was found to be the most effective treatment to retain the heavy metals, with maximum plant available water (0.28 cm3 cm-3) and field capacity (0.36 cm3 cm-3) compared to control treatment. The predictions from Hydrus-1D showed that paper mill wastes with biochar has a significant potential to increase the volumetric moisture contents of amended podzolic soil, with the simulated leaching times and saturation levels closely aligning with the measured values. 
Conclusion: Paper sludge + biochar treatment showed improved soil physicochemical properties and displayed lower heavy metals than allowed limits to be used in soil. Further, experiments are needed to assess the effects of papermill waste products on podzolic soil properties under variable field conditions.

CSN1S1, CSN3 and LPL: Three Validated Gene Polymorphisms Useful for More Sustainable Dairy Production in the Mediterranean River Buffalo

The search for DNA polymorphisms useful for the genetic improvement of dairy farm animals has spanned more than 40 years, yielding relevant findings in cattle for milk traits, where the best combination of alleles for dairy processing has been found in casein genes and in DGAT1. Nowadays, similar results have not yet been reached in river buffaloes, despite the availability of advanced genomic technologies and accurate phenotype records. The aim of the present study was to investigate and validate the effect of four single nucleotide polymorphisms (SNP) in the CSN1S1, CSN3, SCD and LPL genes on seven milk traits in a larger buffalo population. These SNPs have previously been reported to be associated with, or affect, dairy traits in smaller populations often belonging to one farm. A total of 800 buffaloes were genotyped. The following traits were individually recorded, monthly, throughout each whole lactation period from 2010 to 2021: daily milk yield (dMY, kg), protein yield (dPY, kg) and fat yield (dFY, kg), fat and protein contents (dFP, % and dPP, %), somatic cell count (SCC, 103 cell/mL) and urea (mg/dL). A total of 15,742 individual milk test day records (2496 lactations) were available for 680 buffalo cows, with 3.6 ± 1.7 parities (from 1 to 13) and an average of 6.1 ± 1.2 test day records per lactation. Three out four SNPs in the CSN1S1, CSN3 and LPL genes were associated with at least one of analyzed traits. In particular, the CSN1S1 (AJ005430:c.578C>T) gave favorable associations with all yield traits (dMY, p = 0.022; dPY, p = 0.014; dFY, p = 0.029) and somatic cell score (SCS, p = 0.032). The CSN3 (HQ677596: c.536C>T) was positively associated with SCS (p = 0.005) and milk urea (p = 0.04). Favorable effects on daily milk yield (dMY, p = 0.028), fat (dFP, p = 0.027) and protein (dPP, p = 0.050) percentages were observed for the LPL. Conversely, the SCD did not show any association with milk traits. This is the first example of a confirmation study carried out in the Mediterranean river buffalo for genes of economic interest in the dairy field, and it represents a very important indication for the preselection of young bulls destined for breeding programs aimed at more sustainable dairy production.

Simulation and experimental study of grid-connected photovoltaic power plants in a hot desert climate with fixed and dual-axis tracking

ABSTRACT This paper presents a comprehensive investigation into the performance of grid-connected photovoltaic (PV) power plants situated in a hot desert climate. The study employs a combination of simulation models and experimental data to assess the impact of two tracking systems – fixed and dual-axis – on the overall efficiency and energy yield of the PV installations. Through detailed simulations, we analyze the dynamic behavior of the PV systems under varying solar irradiance and the atmospheric conditions typical of hot desert environments. The dual-axis tracking system is compared against the conventional fixed-mount system to evaluate its effectiveness in maximizing energy production and improving the overall efficiency of the PV power plants. Experimental data collected from an actual grid-connected PV facility in a hot desert region is incorporated to validate the simulation results and enhance the accuracy of the study. The observed performance metrics include energy output, system reliability, and the impact of environmental factors on long-term sustainability. In general, in all weather conditions, solar tracking provides better yields than a fixed solar module, generating about 32% and 12% more energy in sunny and overcast weather conditions, respectively. Under sunny weather, the two-axis sun tracking system and a fixed tilt angle produce 333.228 kWh and 247.56 kWh of energy, respectively. The energy yield generated on a partly cloudy day by a two-axis sun tracking system and a fixed tilt angle PV system is 281.496 kWh and 257.856 kWh, respectively. In addition, the highest electricity gain for two-axis solar trackers versus fixed PV plants was found to be 34.6%, and the lowest value was found to be 9.16%. The experimental analysis shows that the efficiency of the polycrystalline PV module is 12% and 14% on sunny days and cloudy days, respectively. The comparison between fixed and dual-axis tracking systems contributes to the optimization of PV installations, enabling more informed decisions for sustainable energy production in regions characterized by high temperatures and intense solar radiation. To support the expanding applications of grid-tied PV systems with a sun tracker in the same or comparable location and climate conditions (Saharan environment), these studies have the practical utility of advising and offering helpful feedback to engineers, system designers, contractors, and investors.

Emerging botanical processing technology of bioflavonoid for sustainable production of high value standardized nutraceutical ingredients: a review

Emerging botanical processing technology of bioflavonoid for sustainable production of high value standardized nutraceutical ingredients: a review

Electricity Consumption and Food Production in Malaysia: Implication for the Sustainable Development Goal 2

The need to seek sustainable solutions to end hunger in all its forms by 2030 motivated the implementation of the Sustainable Development Goals. Against this backdrop, this study seeks to fill the existing gap by unraveling the underexplored dimension of escalating electricity consumption and its potential effects on the broader spectrum of Malaysia's food productivity, with a view to assessing the capacity or otherwise of Malaysia in achieving the SDG 2 (food and nutrition security) by 2030. To achieve the stated objectives, data from World Development Indicators (WDI) of the World Bank for the period 1990 to 2022 were collected for Malaysia. The collated data were analyzed within the framework of Fully Modified Ordinary Least Squares (FMOLS) method. The negative coefficient suggests that an increase in arable land is associated with a decrease in food production. Electricity consumption did not support expansion of food production in the country. Employment in agriculture, based on results, the study concludes that; electricity consumption did not support expansion of food production in Malaysia. In the same vein, arable land in Malaysia did not support sustainable food production in the country. Employment in agriculture did not drive food production changes in the country. Therefore, it could be submitted that electricity consumption only may not ensure a sustainable food production in Malaysia. Therefore, the study recommends that the policymakers and other concerned stakeholders in Malaysia should emphasize the importance of managing and utilizing arable land effectively in order for the country to experience a sustainable food production. Similarly, the policymakers in Malaysia should be given priority to food production when distributing electricity for both domestic and industrial consumptions in the country. If these policies are well implemented in Malaysia, the achievement of the Sustainable Development Goal 2- food security and sustainable agriculture will be tremendously facilitated before 2030.

Microbial and insect oils: A sustainable approach to functional lipid

AbstractThe increasing global population, coupled with the effects of climate change on agricultural activities has spurred a demand for sustainable food production to meet human needs. In response to this, there has been a growing interest in sustainable food production initiatives. One of such initiatives is harnessing microbial and insect lipids as valuable ingredients to address increase in demand for lipids across various sectors, including functional food, nutritional supplements, and biodiesel production. Over the last decades, there has been increasing scientific investigations exploring lipid from algae, microbes, and insects as alternatives to traditional agro‐ and marine‐based sources. This review, therefore, presents progress made in microbial and insect oils production, with emphasis on sustainability. Emerging extraction techniques, regulatory and safety requirements, and challenges that exist in the production and utilization of these new lipids are also discussed. The review shows that lipids from a wide range of oleaginous microorganisms and insect species have the potential to serve as a valuable ingredient for healthful food preparation. However, challenges such as cultural acceptance, lack of standardized regulations, high cost, and low yield associated with most emerging environmentally friendly extraction technologies continue to hinder widespread use or adoption of microbial and insect lipids on a global scale. These challenges call for innovations to reduce cost of production and improve lipids yield. So far, a substantial progress has been made in the utilization of readily available feedstocks such as industrial food wastes and sugar‐rich industrial wastewater to grow insects and microorganisms which will significantly reduce the processing costs.