Beef Supply Chain Research Articles

Regional differences in beef cattle trade and movements associated with the COVID-19 pandemic in Australia

Context The COVID-19 pandemic caused mandated restrictions on movements and distancing of people with implications for meat supply chains. Despite the COVID restrictions, agricultural activities were permitted to continue as essential services in Australia. However, there were reported shortages of meat on the shelves of supermarkets and a general increase in the price of meat in Australia during the COVID period. Hence, there is a need to establish whether the restrictions affected upstream activities in Australia’s beef supply chain. Aim This study aims to examine the impact of the COVID-19 pandemic and confounding factors including rainfall and export bans on beef cattle trade and movement in Australia. Methods Using annual data on beef cattle sold, purchased, transferred off-farm and transferred onto farms sourced from the database of the Australian Bureau of Agricultural and Resource Economics and Sciences, a t-test analysis was conducted to establish the significant changes in cattle movement and trade for the pre-COVID (2014–2019) and COVID (2020–2022) periods. Additionally, a flexible least squares model augmented with a flexible generalised least squares model was used to assess the impact of confounding factors on cattle trade and movement. Key results The results indicate no significant change in the proportion of beef cattle sold nationwide. Tasmania, New South Wales, and Western Australia (WA) recorded significant changes (1.4% increase, 3.6% increase, and 3.8% decrease, respectively) in the proportion of beef cattle purchased. For WA, these changes were localised to changes that occurred in WA Central and Southern Wheat Belt and WA Southwest Coastal regions. Moreover, rainfall did not significantly impact cattle trade but did affect cattle movements. The export ban only significantly impacted beef cattle sold in Queensland. Conclusions Overall, the findings suggest that most regions in Australia did not experience significant changes in farm-level decisions regarding beef cattle movement and trade during the COVID period. Instead, minor adjustments were made to address the demand changes. Implications The findings imply that adopted policies that facilitated the implementation of biosecurity bubbles and the movements of animal transport workers for breeding facilities and abattoirs during the COVID period were effective in normalising farm-level operations.

Greenhouse gas emissions in US beef production can be reduced by up to 30% with the adoption of selected mitigation measures

Greenhouse gas (GHG) emissions from beef production in the United States are unevenly distributed across the supply chain and production regions, complicating where and how to reduce emissions most effectively. Using spatially explicit life cycle assessment methods, we quantify the baseline GHG emissions and mitigation opportunities of 42 practices spanning the supply chain from crop and livestock production to processing. We find that the potential to reduce GHGs across the beef sector ranges up to 30% (20 million tonnes CO2e reduced and 58 million tonnes CO2 sequestered each year relative to the baseline) under ubiquitous adoption assumptions, largely driven by opportunities in the grazing stage. Opportunities to reduce GHGs in the feed, grazing and feedlot stages vary across regions, yet large-scale adoption across the entire beef supply chain is important. These findings reveal promising locations and practices to invest in to advance mitigation goals and an upper-end theoretical potential for mitigation in the beef industry.

Tracing Nitrogen Flows Associated with Beef Supply Chains: A Consumption-Based Assessment.

While highly connected food chains provide numerous benefits, they lack traceability and transparency. As such, understanding the spatial heterogeneity in their environmental burdens is critical for targeted interventions. This is especially important for nutrient-related impacts such as nitrogen since the release of reactive nitrogen has been linked to loss of biodiversity and decrease in water quality in different parts of the world. Animal feed production is heavily dependent on synthetic fertilizers, and the consumption of beef products, in particular, is associated with high nitrogen footprints. Although there is a rich body of work on nutrient footprints of beef production, there is a gap in understanding the spatial distribution of the nutrient releases throughout the beef supply chain in the U.S. We present an optimization-based framework to trace supply chain networks of beef products at the county level. Using publicly available data, we construct a weighted network of nutrient flows based on mass balance, including synthetic fertilizers, manure production, and crop uptake and residues. The results show that beef consumption in a county can be associated with nitrogen losses in hundreds of counties. One year worth of beef consumption in the United States released approximately 1.33 teragrams (Tg) of N to the environment, and most of it as diffuse pollution during the feed production phase. Analysis also revealed the huge disparity between consumption-based and production-based impacts of beef and the need for considering consumption-based accounting in discourse around the environmental sustainability of food systems.

Assurance of Halal Beef Products Using a Traceability System in Enterprise Resource Planning Applications

Abstract This research addresses the critical issue of maintaining consumer trust in the halal products within the Indonesian context, specifically focusing on beef products. Recognizing the vulnerability of halal products and counterfeit certificates, the study proposes an innovative solution through the implementation of an Enterprise Resource Planning (ERP) application. This application is designed to trace and monitor the halal beef supply chain, aligning with the certification standards set by the Indonesian Ulema Council (MUI). The choice of beef as the subject of this study stems from its high susceptibility to counterfeiting and the complexity of its supply chain. The research utilizes an ERP system for its comprehensive enterprise-level management capabilities, including aspects of purchasing, inventory, and manufacturing. This technology integration aims to address the challenges in tracing halal beef products from their origin to the consumer (upstream to downstream), ensuring compliance with halal requirements and optimizing the supply chain. Methodologically, the development of this traceability system adheres to the System Development Life Cycle (SDLC), employing a modified waterfall model. The system’s efficacy is evaluated through Blackbox testing, demonstrating its capability to effectively track the journey of halal beef products. It ensures validation at each stage of the supply chain in accordance with MUI’s halal certification criteria and provides rapid tracking capabilities in emergency situations. In conclusion, this study presents a significant technological innovation in the field of halal product assurance. It offers an integrated solution that combines information technology and management principles to uphold the integrity of halal products, thereby safeguarding consumer trust and supporting the reputation of conscientious manufacturers in Indonesia.

U.S. beef producer perspectives on “sustainable beef” and implications for sustainability transitions

Beef production systems are at the center of ongoing discussion and debate on food systems sustainability. There is a growing interest among beef producers, consumers, and other beef supply chain stakeholders in achieving greater sustainability within the industry, but the relationship of this interest to general sustainability issues such as climate change, biodiversity loss, food security, livelihood risks, and animal welfare concerns is unclear. Specifically, there is very little research documenting how beef producers define and view the concept of sustainability and how to achieve it. Producer perspectives are critical to identifying constraints to sustainability transitions or to help build agreement with other producers about the shared values such transitions may support. Through a secondary analysis of survey data of U.S. beef producers (n = 911) conducted in 2021 by the Trust in Food division of Farm Journal, a corporation that provides content, data, and business insights to the agricultural community (e.g., producers, processors/distributors, and retailers), we investigated what “sustainable beef” means to U.S. beef producers, highlighting the key components and constraints they perceive to achieving desirable sustainability outcomes. Leveraging the three-pillar model of sustainability as a framework for analysis, we identified key themes producers use to define “sustainable beef.” We found that producers collectively viewed sustainability as: (1) multidimensional and interconnected; (2) semi-closed and regenerative; (3) long-lasting; and (4) producer-centered, although an integrated perspective uniting these aspects was rare. We discuss how these perspectives may be the basis for sustainability efforts supported by producers and raise future research considerations toward a shared understanding of what sustainability is and what is needed for enduring sustainability solutions in the U.S. beef industry.

Beef’s intersection with ESG Metrics

Environmental, social and governance (ESG) metrics are in­creasingly important to businesses for evaluating their perfor­mance in non-financial indicators to investors. Currently, the largest intersection of the beef industry with ESG metrics is re­lated to the area of greenhouse gas emissions (GHG) reporting and goals and targets. Many companies that sell beef products have made public commitments to reduce Scope 3 GHG emis­sions, which includes GHG emissions from all inputs, including emissions associated with the raising of cattle for beef. Cur­rently, there is a gap between company commitments and the U.S. beef supply’s ability to document and mitigate greenhouse gas emissions from cattle production. Research filling these gaps, including improving models used for reporting and find­ing practical and scalable solutions to mitigate enteric methane emissions is a key focus of Colorado State University’ AgNext. Animal health and veterinary medicine is a key part of main­taining and achieving ESG metrics outcome goals, as lower rates of morbidity and mortality can lower resource inputs and GHG emissions per pound of beef produced. Additionally, animal health and well-being are fundamental components of the social license to operate for beef supply chains, thus bovine veterinari­ans can play a key role in ESG metrics related to beef production.

Genomic selection in dairy cattle: impact and contribution to the improvement of bovine fertility

Genomic selection has revolutionized the dairy cattle breeding industry, with ripple effects that have greatly impacted dairy herd management. Rate of genetic progress has increased markedly, especially in Holstein and Jersey breeds, for production, health, and fertility traits. Genomic testing of young bulls and heifers provides greater accuracy of selection decisions involving traditional fertility traits, such as daughter pregnancy rate, while creating the opportunity to improve novel traits, such as fetal loss. Cameras, wearable sensors, and other precision livestock farming technologies will allow selection for traits such as estrus duration and intensity that require high frequency phenotyping. At the same time, synergies between genomic testing and advanced reproductive technologies have led to rapid and widespread adoption of sexed semen, coupled with mating of females whose offspring are not needed as herd replacements to beef sires. This strategy produces added-value crossbred calves for the beef supply chain, while allowing genetically inferior mature cows that are still producing at a high level to remain in the herd for additional lactations.

6 Identifying research gaps and opportunities to enhance sustainable beef production

Abstract Sustainability has evolved and extended its influence across diverse sectors of the economy, including those in the beef supply chain. Public-facing companies predominantly emphasize environmental sustainability, especially climate-associated features, while beef producers continue to prioritize economic sustainability, hoping to to ensure their operation thrives into the next generation. Diversifying revenue and improving productivity are pivotal for safeguarding economic sustainability and fostering resilient production systems. Diversification is not new to beef producers; many have integrated ecosystem services into their operations to generate non-production revenue. The most valuable asset of a beef producer is the productivity of the land. Decision support tools need to be enhanced to allow producers to either capitalize on above average forage production to generate additional income, or to plan for alternative strategies when forage supply is forecast to be reduced. Because downstream beef supply chain participants prioritize environmental sustainability or reduction of scope 3 emissions, an emerging diversification opportunity for beef producers is to address this opportunity. While soil carbon initiatives have received attention, companies with substantial scope 3 emissions from beef production may value greenhouse gas (GHG) emissions from cattle more highly. Incentives for practices that reduce GHG emission from cattle can simultaneously reduce environmental impact associated with beef production and generate an additional revenue stream adjacent to beef production. Current opportunities to participate in these incentive programs are limited. Research can address the creation of functional protocols, and their intrinsic value. Clear targets, for gross emissions or emissions intensity, must be set but are not equivalent. In particular, research on effective/acceptable monitoring, reporting, and verification of emissions claims is imperative to functional markets. Innovation in emissions management and productivity gains can be integrated, so that goals of economic and environmental sustainability among value chain participants can be achieved. Maintaining a comprehensive perspective on sustainability solutions is essential to meeting the needs of humanity.

Blockchain technology design based on food safety and halal risk analysis in the beef supply chain with FMEA-FTA

Beef has an important role in the health of the body. Food safety and halal are the main factors for consumers in purchasing beef. However, in reality, several activities in the beef supply chain result in status changes to be unsafe and not halal for consumption. This occurs due to weak food safety and halal supervision in the beef supply chain system. Therefore, this study proposes the use of blockchain technology to strengthen the food safety and halal supervision system in the beef supply chain. The objectives of this study are (1) to identify food safety and halal risk factors, and (2) to develop a blockchain technology design for mitigating food safety and halal risks in the beef supply chain. This research uses the FMEA method to measure risks and FTA for risk analysis. The results showed that 30 risks were identified in the beef supply chain. The highest risk is the absence of a halal certificate on the product. The 30 risks are grouped into 4 risks that are included in extreme priority risk, 11 risks in high priority risk, 4 risks in moderate risk, and 11 risks as acceptable risk. Based on these results, the role of blockchain technology to minimize risk is in the flow of data, and transactions will be easier to track, more transparent, and safer to use as part of the control and supervision system for food safety and halal standards in the beef supply chain. This research has implications for transparency in the supply chain, the accuracy of product track records, prevention of food poisoning, improving halal compliance, risk management and thus increasing consumer confidence.

The impact of COVID‐19 on price transmission and price volatility in the Canadian beef supply chain

AbstractThe COVID‐19 pandemic resulted in disruptions to the Canadian meat and livestock markets. While prices initially decreased, the shutdowns of beef packing plants led to a large reduction in the supply of beef and a corresponding increase in the wholesale price with ramifications along the entire supply chain. This study examines the effect of COVID‐19 on price transmission and price volatility in the Canadian beef supply chain using monthly farmgate, wholesale, and retail price data covering the period from July 2005 to February 2022. We find evidence indicating that COVID‐19 affected long‐run price transmission from farmgate and wholesale markets to the retail market. Specifically, we find that the pandemic resulted in a 94.42 and 81.48% decrease in price transmission from the farmgate and wholesale market, respectively, to the retail market, indicating that higher prices at the wholesale level were not being passed on to consumers to the same extent. In the short run, we find asymmetric price adjustments and both direct and indirect volatility spillovers among the three levels of markets, implying strong market interactions across the beef supply chain. Overall, our results suggest the resiliency of the Canadian beef sector to COVID‐19 shocks.

Analysis of Meat Microbial Contamination on the Beef Supply Chain in Makassar City

The source of bacterial contamination begins when the animal is slaughtered until the meat is consumed. Slaughterhouses (RPH), slaughterhouses (TPH) and traditional markets are the greatest possibility for meat to be contaminated with bacteria. The research began by taking samples of fresh beef purchased from the Makassar City Slaughterhouse (RPH), Slaughterhouse (TPH) and sales stalls in the market. The meat samples that were obtained were then tested for TPC, Escherchia coli, Salmonella sp, pH, meat color and water holding capacity at the UPT Laboratory for Quality Testing of Livestock Products at the South Sulawesi Province Animal Husbandry and Animal Health Service. It was concluded that there was e-coli microbial contamination in beef originating from RPH and TPH, salmonella showed negative results and the total plate count (TPC) was still within normal limits for microbial contamination and there was an influence of handling meat originating from RPH in the meat supply chain on meat quality of food products of animal origin.

Multidrug-Resistant Staphylococcus aureus Strains Thrive in Dairy and Beef Production, Processing, and Supply Lines in Five Geographical Areas in Ethiopia.

Livestock, farms, abattoirs, and food supply systems can become the source of foodborne pathogens, including S. aureus, in the absence of monitoring, general hygienic practices, and control. Studies are scarce on reservoirs (hiding places) and routes of entry of S. aureus into the food supply chain in Ethiopia. To fill these gaps, we evaluated the role of cows (milk), meat, equipment, and food handlers on the abundance and AMR of S. aureus in five geographical areas in central Oromia, Ethiopia. We isolated S. aureus from 10 different ecologies per area in 5 areas and tested their sensitivity to 14 antimicrobials of 9 different classes. We ranked the 5 areas and 10 ecologies by computing their multiple AMR index (MARI) at a cut-off value of 0.2 to determine 'high-risk' ecologies for AMR. We recorded as MDR if an isolate had resistance to ≥3 antimicrobial classes. We used a circos diagram to analyze if isolates with identical AMR patterns were shared between different ecologies. S. aureus is prevalent in central Oromia (16.1-18.3%), higher in dairy farms than in abattoirs, and varied among 10 ecologies (p < 0.001) but not among 5 areas (p > 0.05). Of the 92 isolates, 94.6% were penicillin-resistant. Their AMR prevalence was above 40% for 9 of 14 antimicrobials. All isolates (100%) had AMR in at least one antimicrobial class (range = 1-9; median = 5), indicating MDR was prevalent. The prevalence of MDR S. aureus varied (p < 0.05) among areas and 10 ecologies; the highest was in slaughter lines. All isolates had a MARI of >0.2, indicating drug overuse, and S. aureus's AMR burden is high in central Oromia. Dairy farms had higher MARI values (0.44) than abattoirs (0.39). Of 10 ecologies, the highest and lowest MARI values were in the beef supply chain, i.e., slaughter line (0.67) and butcher's hand (0.25). Of the 68 different AMR patterns by 92 isolates against 14 antimicrobials, 53 patterns (77.9%) were unique to individual isolates, indicating they were phenotypically dissimilar. MDR S. aureus was widespread in central Oromia in dairy and meat supply chains, contaminating milk, meat, equipment, and workers in farm and abattoir settings. In the absence of strict regulations and interventions, MDR S. aureus can be disseminated from these epicenters to the public.

406 Awardee Talk: Extended Effects of Sequential Weaning and Backgrounding Management in Southeastern U.S. Beef Calves on Performance, Health, and Immunological Responses Through the Feedyard

Abstract Understanding post-weaning management strategy impacts on calf performance and health can help producers add value to their operations and further strengthens the viability of the beef supply chain. A series of research and Extension studies were conducted to: 1) validate perceptions and determine motivations for pre- and post-weaning calf management strategies used in Southeast US cow-calf operations and 2) assess the collective effects these practices have on calf health and performance through the feedyard phase. An interactive, online survey (n = 214 responses) was distributed to Alabama beef producers to assess factors influencing the use of pre- and post-weaning management and management systems. Key challenges producers face in their operations who practice managed weaning and backgrounding strategies include input costs, land availability and market predictability. Developing demonstration data models to address cost-benefits of weaning and backgrounding may help producers evaluate areas of challenges identified in this survey. Subsequently, a two-year study was conducted using 427 Angus-crossed steer calves (294.2 kg) from three Auburn University research farms. Calves were assigned to one of three weaning methods for a 14-d experimental period: fenceline, nose-flap, or abrupt weaning. Response variables included initial and final body weight following the 14-d period, vaccination, and acute phase protein response. In both years of the study, fenceline weaned calves had the greatest average daily gain at 1.08 kg/d (P &amp;lt; 0.0001) and abruptly weaned calves had the lowest average daily gain losing 0.15 kg/d during the 14-d observation period. After the weaning study, calves were brought to a centralized farm and began a 60-d backgrounding period where they were assigned to one of three nutritional management strategies in a 3×3 factorial design: cool-season baleage, bermudagrass hay, or grazing mixed warm-season annuals. All diets were supplemented with 1% BW of DDGS. Body weights and blood samples were again collected throughout the backgrounding period. In the backgrounding period, fenceline weaned calves had the greatest average daily gain (P = 0.02) in the first 30 d of the backgrounding period regardless of backgrounding diet type. Calves fed the hay-based diet also had a greater average daily (P &amp;lt; 0.0001) than both the grazing and baleage groups in the first 30d of backgrounding. From d 30 to 60 of backgrounding in each year, steers on grazing and baleage diets supported greater ADG (P &amp;lt; 0.0001) than hay diets during the last 30-d of the backgrounding period (0.74 kg/d and 0.77 kg/d vs. 0.31 kg/d, respectively). Following the backgrounding, steers were transported to a commercial feedyard where they remained for the finishing phase. Effects of backgrounding management on feedyard performance were only observed during the first 35d in the feedyard. Results indicate that weaning and backgrounding management strategies can influence calf performance during the transition period into the feedyard phase.

Consumer preferences for worker and supply chain risk mitigation in the beef supply chain in response to COVID‐19 pandemic

AbstractThe COVID‐19 pandemic strained the beef supply chain through plant closures and labor shortages. The pandemic highlighted worker safety inadequacies as well as system vulnerabilities to supply chain disruptions. One result has been political and media scrutinization of beef processing concentration as a culprit for these disruptions. Breaking plants up into smaller, more geographically dispersed processing could help mitigate risk from large plant closures but would likely result in higher retail prices because of lost scale economies. Additionally, improving worker safety likely means slower processing even in larger plants, again likely raising retail prices. We use a choice‐based conjoint analysis to examine to whether and to what extent consumers would be willing to pay higher prices to support smaller plant sizes and improved worker safety, among other beef characteristics. Findings of the study suggest that consumers do not care, at least directly, about plant size but are willing to pay to reduce food miles for processed beef (indirectly implying more geographic dispersion). Consumers are also WTP to improve worker safety. Results also show positive willingness to pay for characteristics such as “grass‐fed” which is consistent with other studies. [EconLit Citations: Q13, Q18, C25, C83].

Quantitative microbial risk assessment of haemolytic uremic syndrome associated with Argentinean kosher beef consumption in Israel.

The aim of this study was to perform a quantitative microbial risk assessment (QMRA) of Shiga toxin-producing Escherichia coli hemolytic uremic syndrome (STEC-HUS) linked to the consumption of Kosher beef produced in Argentina and consumed in Israel in children under 14 years. A probabilistic risk assessment model was developed to characterize STEC prevalence and contamination levels in the beef supply chain (cattle primary production, cattle transport, processing and storage in the abattoir, for export and at retail, and home preparation and consumption). The model was implemented in Microsoft Excel 2016 with the @Risk add-on package. Results of 302 surveys with data collected in Israel were as follows: 92.3% of people consumed beef, mostly at home, and 98.2% preferred levels of cooking that ensured STEC removal from the surface of beef cuts. The preferred degree of ground beef doneness was "well-done" (48.2%). Cooking preference ranged from red to "medium-well done" (51.8%). Median HUS probability from Argentinean beef cut and ground beef consumption in children under 14 years old was <10-15 and 8.57x10-10, respectively. The expected average annual number of HUS cases and deaths due to beef cut and ground beef consumption was zero. Risk of infection and HUS probability correlated with salting effect on E. coli count, processing raw beef before vegetables, ways of storage and refrigeration temperature at home, joint consumption of salad and beef cuts, degree of beef doneness and cutting board washing with detergent after each use with beef and vegetables. The STEC-HUS risk in Israel from consumption of bovine beef produced in Argentina was negligible. The current QMRA results were similar to those of previous beef cut consumption QMRA in Argentina and lower than any of the QMRA performed worldwide in other STEC-HUS linked to ground beef consumption. This study confirms the importance of QMRA to estimate and manage the risk of STEC-HUS from beef consumption. The impact variables identified in the sensitivity analysis allowed us to optimize resources and time management, to focus on accurate actions and to avoid taking measures that would not have an impact on the risk of STEC-HUS.

Grass finishing of Criollo cattle can provide an environmentally preferred and cost effective meat supply chain from United States drylands

CONTEXTThe southwestern United States is experiencing an increasingly warmer and drier climate that is affecting cattle production systems of the region. Adaptation strategies are needed that will not compromise environmental quality or profitability. Options include the use of desert-adapted beef cattle biotypes, such as Rarámuri Criollo cattle, and crossbreds of Criollo with more traditional British breeds. Currently, most calves raised in the Southwest are grain finished, often with irrigated crops produced in the hydrologically-threatened Ogallala Aquifer region. A viable alternative may be grass finishing with the rainfed forage of the arid and semi-arid rangeland of the Southwest or in the temperate grasslands of the Northern Plains. OBJECTIVECompare the environmental impacts and production costs of grain-finishing in Texas and grass-finishing in the Northern plains and the Southwest with traditional Angus cattle vs. Criollo and Criollo x Angus cattle. METHODSNine supply chain strategies were simulated using the Integrated Farm System Model to compare farm-gate life cycle intensities of greenhouse gas emissions (carbon footprint), fossil energy footprint, nitrogen footprint, blue water footprint and production costs using representative (appropriate soils, climate, and management) ranch and feedlot operations. RESULTS AND CONCLUSIONSFor both finishing options (grass, grain), Criollo x Angus cattle had the best environmental (3%–27% lower), and production cost (4–23% lower) outcomes followed by pure Criollo and then Angus cattle. Crossbred production combined the lower feed supplementation requirements of Criollo cows with heavier final carcasses of offspring from Angus genetics. Crossbred cattle with grass finishing in the Southwest or Northern Plains outperformed on most environmental variables as well as production costs, mostly due to reduced external input requirements (primarily feed). A downside for grass-finished crossbreds was greater carbon footprint (27–42% higher) compared to grain finishing due to greater methane emissions from high forage diets and an extended time to finish. On grasslands where soil C sequestration can be supported, that land-based sequestration may offset the greater greenhouse gas emission from enteric methane of grass-finished beef. Grass finishing in the Northern Plains may provide a more reliable meat supply chain than grass finishing in the Southwest due to the lower risk and less severe consequences of drought. SIGNIFICANCEAlternative beef supply chain options using Rarámuri Criollo cattle were found to be sustainable production systems that can be adopted by ranchers in the southwestern United States to adapt to the changing climate.

The Adoption of Robotic Process Automation Considering Financial Aspects in Beef Supply Chains: An Approach towards Sustainability

Sustainable beef production is a global challenge in present times. This research paper aims to investigate the financial risks and barriers in the adoption of robotic process automation (RPA), which has emerged as a strategic catalyst for achieving sustainability in the beef sector. Beef manufacturers constantly strive to achieve sustainability and a competitive advantage in order to gain enhanced beef productivity at low operational costs. There is a gap in the research, as there is a lack of knowledge about the financial aspects, barriers, and challenges influencing the RPA adoption process in the beef supply chain. To bridge this gap, secondary research is used to extract statistical data and information relevant to the RPA adoption process in beef supply chains, considering financial aspects. This study utilises a simulation method adopting a process model created in previous research and analyses different scenarios based on financial parameters using values or variables in Simul8 software. The scenario analysis allows for the identification of financial risks in the adoption of RPA and evaluates the simulation results from a sustainability perspective. The scenario analysis highlights the financial risks and barriers in the adoption of RPA in beef supply chains through process simulation, using financial parameters as a basis. KPI values, income statements, and carbon emission reports are generated to evaluate the main bottlenecks at various beef supply chain stages, thus allowing business users to conduct a thorough cost analysis. Successful adoption of RPA can lead to reduced supply chain complexity, thus improving financial and operational efficiency, which results in increased beef productivity, quality, and shelf life. This study is extremely important as it assesses scenarios from a sustainability perspective and contributes to academic knowledge and professional practice. It provides a process model to support the financial and ethical decision-making of managers or stakeholders, while helping the beef sector adopt RPA with greater ease. The process model can be adopted or modified according to the financial circumstances and individual requirements of business users. Furthermore, it provides decision-makers with the knowledge to eliminate or prevent financial barriers, thus advancing and accelerating the adoption of RPA. Robust adoption of RPA assists beef supply chains in gaining higher productivity at reduced costs, thus creating sustainable value.

Using dynamic modelling to enhance the assessment of the beef water footprint

Current water footprint assessment methods make a meaningful assessment of livestock water consumption difficult as they are mainly static, thus poorly adaptable to understanding future water consumption and requirements. They lack the integration of fundamental ruminant nutrition and growth equations within a dynamic context that accounts for short- and long-term behaviour and time delays associated with economically significant beef-producing areas. The current study utilised the System Dynamics methodology to conceptualise a water footprint for beef cattle within a dynamic and mechanistic modelling framework. The problem of assessing the water footprint of beef cattle was articulated, and a dynamic hypothesis was formed to represent the Texas livestock water use system as the initial step in developing the Dynamic Beef Water Footprint model (DWFB). The dynamic hypothesis development resulted in three causal loop diagrams (CLD): cattle population, growth and nutrition, and the livestock water footprint, that captured the daily water footprint of beef (WFB). Simulations and sensitivity analysis from the hypothesised CLD structures indicated that the framework was able to capture the dynamic behaviour of the WFB system. These behaviours included key reinforcing and balancing feedback processes that drive the WFB. It is extremely difficult to identify policy interventions (i.e., management strategies) for complex systems, like the U.S. beef cattle system, because there are many actors (i.e., cow-calf, stocker, feedlot) and interrelated variables that have delayed effects within and across the supply chain. Identification and understanding of feedback processes driving water use over time will help to overcome policy resistance for more sustainable beef production. Thus, the causal loops identified in the current study provide a system-level insight for the drivers of the WFB within and across each major segment of the beef supply chain to address freshwater concerns more adequately. Further, the nutrient scenarios and sensitivity analysis revealed that the high versus low nutrient composition of pasture, hay, and concentrates resulted in a significant difference in the WFB (2 669 L/kg boneless beef, P < 0.05). The WFB was sensitive to changes in nutrient composition and specific water demand (m3/t) for each production phase, not only phases with high levels of concentrate feed use. As models evolve, there is potential for the DWFB to integrate precision livestock data, further improving quantification of the WFB, precision water-efficient strategies, and selection of water-efficient livestock.

Emergent Research Themes on Sustainability in the Beef Cattle Industry in Brazil: An Integrative Literature Review

Brazil is one of the world’s biggest beef producers and its largest exporter. However, beef cattle ranching is a leading cause of deforestation and habitat conversion in the Brazilian Amazon, which challenges sustainable development. We adopted the triple bottom line (TBL) as a guiding theory of sustainability and assumed the necessity of a production system-specific approach. Based on an integrative literature analysis, we aimed to assess sustainability pillars in beef cattle production. The Web of Science, Scopus and Science Direct databases were searched for studies on mitigating the adverse impacts of beef cattle production before the COVID-19 pandemic outbreak. We found 108 references in these databases, 46 of which met the criteria for eligibility assessment, and ten studies were selected for textual cluster analysis and thematic synthesis. The review shows emergent research themes on sustainability in beef cattle production. It also elaborates a conceptual model of the sustainability pillars in the technique, science, and social aspects of the beef cattle sector that may guide the managerial and political strategies for the beef cattle supply chain in Brazil and other emerging markets. This study indicates that sustainable beef cattle development requires new digital technologies and ideas about sustainable supply chain management, which provides human, environmental, and animal welfare.

Nondestructive determination of common indicators of beef for freshness assessment using airflow-three dimensional (3D) machine vision technique and machine learning

Assessment of beef freshness is critical to ensure a safe and sustainable beef supply chain. This work aims to investigate the feasibility of the viscoelasticity of beef to evaluate its freshness using the airflow-3D machine vision technique and machine learning models. The 3D camera was continuously used to acquire deformation images under the action of the airflow. The obtained images were preprocessed using region of interest ( ROI ) segmentation, filtering denoising, and down-sampling. And then the depth and volume of processed images were obtained by the Oriented Bounding Box ( OBB ) algorithm and volume algorithms, separately. Two four-element viscoelastic models were established to fit depth and volume respectively for obtaining viscoelastic characteristics. Finally, regression models were built and compared using viscoelastic characteristics to determine the optimum prediction models and methods for two freshness indicators. The backpropagation neural network ( BPNN ) and SVR based on selected features were the best prediction models for pH and total volatile basic nitrogen ( TVB-N ) content evaluation in beef, and the correlation coefficients ( R c and R p ) of the calibration set and prediction set were 0.7636, 0.9036, and 0.7669, 0.8388, respectively. • A test electronic instrument based on airflow-3D machine vision was independently developed. • The depth and volume of spatial deformation were quantified by algorithms of point cloud image quantization. • Two four-element viscoelastic models of the creep recovery phase were established to extract viscoelastic characteristics. • Machine learning models for simultaneously predicting two common freshness indicators were built. • The prediction effects of different viscoelastic feature fusions and different models were compared.