Livestock Supply Chain Research Articles

Cross-commodity market integration and price transmission in Thailand’s livestock sector

The ability to substitute goods and services is crucial for maintaining market stability during price fluctuations, particularly in the livestock market, where products are interchangeable. This study aimed to analyse market integration and asymmetric price transmission concerning livestock commodity prices in Thailand. Specifically, it focused on beef cattle, swine, broiler chicken, and chicken egg prices, using time-series data from January 2011 to December 2022. The analysis employed unit root tests to check if the time series data were stationary, Granger causality tests to determine the direction of relationships among livestock prices and an asymmetric price transmission model to examine short-term asymmetry and adjustment in cross-commodity prices. The findings indicate three directions of price integration in Thailand’s livestock market: from broiler chicken price to chicken egg price, from swine price to chicken egg price, and from swine price to broiler chicken price. The results suggest that price transmission in Thailand is symmetrical, demonstrating an efficient interdependent relationship. Thus, the findings indicate that chicken eggs are a substitute for broiler chickens and swine when prices fluctuate, while broiler chickens are a substitute for swine. The results reveal that chicken eggs can replace swine consumption more effectively than broiler chickens within Thailand. This study highlights that chicken eggs are the most effective substitute during livestock price fluctuations in Thailand, with broiler chickens being the second most effective. Consequently, stakeholders in the livestock supply chain, such as policymakers, entrepreneurs, and farmers, should understand the integration of different commodities and price transmission in Thailand’s livestock market. To guarantee market stability, stakeholders should manage the demand and supply of livestock commodities and acquire chicken eggs and broiler chickens during significant fluctuations in domestic livestock commodity prices

Water Footprints of Dairy Milk Processing Industry: A Case Study of Punjab (India)

A robust assessment of water used in agriculture, including livestock production systems and supply chains, is critical to inform diversification and the development of productivity and sustainable food production systems. This paper presents a detailed analysis of water used and consumed in nine dairy milk processing plants spread across Punjab, India’s leading dairy milk-producing state. Over the five years (2015–2019), the direct water use (DWU) was quantified at 3.31 L of groundwater per kg of milk processed. Only about 26% of the direct water used was consumed, including evaporative losses in various milk processing operations, while the remaining 74% was returned as effluent discharges. The average total water footprint (TWF), accounting for both direct and indirect water consumption, was quantified at 9.0 L of water per kg of milk processed. The majority share (~89%) of the total water footprint was contributed by the indirect water footprint associated with the consumption of electricity (energy) in dairy milk processing activities. The plant’s milk processing capacity and processing products mix also affected significant seasonal and annual variations in the direct and indirect water footprints of dairy milk processing. The analysis also found an inverse relationship between the average total water footprint and the average monthly amount of milk processed in the study plants. Therefore, efforts to reduce the indirect water footprint (associated with energy consumption), the treatment and recycling of effluent discharges, and the optimization of milk processing capacity, the dairy processing product mix, and the locations of dairy processing plants are expected to help reduce the water footprint of dairy processing in the state.

Emerging Opportunities for Restructuring Livestock Products and Supply Chains in Post-COVID-19 in India: A Review

The outbreak of COVID-19 has vividly tested the resilience of the livestock sector in India. During this process, a volume of current and potential opportunities has also arisen to redesign livestock products and supply chains. The study reviewed systematic observations to enhance productivity, product quality, and traceability in the livestock sector of India. The study explored the nature of recent digitization and remote monitoring through sensors, food development, and supply chain remodelling to assess post-pandemic acceleration toward modern production and marketing channels. An extensive review of the studies revealed that the emergence of organized micro-delivery channels had created a vast market scope to modernize distribution supply chains, where real-time production chains provided seamless transmission of information among all the stakeholders. The study revealed that the Government should encourage agri-tech startups, which can play a crucial role in propagating organized and hybrid supply chains. Further, livestock value-added product development through large-scale food fortification (LSFF) can help to reduce nutritional deficiency. Therefore, the study concluded that redesigning supply chains and value-added product development in the livestock sector are crucial to inclusive and sustainable agricultural development.

Impact of livestock industry on climate change: Case Study in South Korea - A review.

In recent years, there has been a growing argument attributing the primary cause of global climate change to livestock industry, which has led to the perception that the livestock industry is synonymous with greenhouse gas (GHG) emissions. However, a closer examination of the global GHG emission by sector reveals that the energy sector is responsible for the majority, accounting for 76.2% of the total, while agriculture contributes 11.9%. According to data from the Food and Agriculture Organization of the United Nations (FAO), the total GHG emissions associate with the livestock supply chain amount to 14.5%. Within this, emissions from direct sources, such as enteric fermentation and livestock manure treatment, which are not part of the front and rear industries, represent only 7%. Although it is true that the increase in meat consumption driven by global population growth and rising incomes, has contributed to higher methane (CH4) emissions resulting from enteric fermentation in ruminant animals, categorizing the livestock industry as the primary source of GHG emissions oversimplifies a complex issue and disregards objective data. Therefore, it may be a misleading to solely focus on the livestock sector without addressing the significant emissions from the energy sector, which is the largest contributor to GHG emissions. The top priority should be the objective and accurate measurement of GHG emissions, followed by the development and implementation of suitable reduction policies for each industrial sector with significant GHG emissions contributions.

Comparison of sustainability in livestock supply chain

Comparison of sustainability in livestock supply chain

Type and frequency of wild pig-domestic livestock contacts and operator concern for disease spread

Abstract Wild pigs (Sus scrofa) can levy substantial costs to domestic livestock operations and global supply chains due to disease introduction. Producers can take defensive action to avert these costs, but the factors influencing these decisions are not well understood. We examined survey data to characterize the type and frequency of contacts between wild pigs and domestic livestock and investigated the determinants of farm operator concern for disease introduction using an ordered logit model. We found that operators with livestock kept in buildings were more concerned about disease than those with livestock kept in fenced areas or that roam free. However, the latter are at greater risk due to more frequent reported contacts with wild pigs. Results indicate that concern is significantly associated with other characteristics of farm operations, such as operation size, perceived change in wild pig populations, and respondent demographics. Developing a better understanding of the factors influencing operator concern for disease spread can contribute to the improved design of prevention policy targeting small-scale livestock producers. This could help ensure the continued safety of livestock supply chains and reduce the risk of disease-related trade restrictions, along with continued support for disease surveillance and monitoring at the national scale, and prolonged control of domestic vectors such as invasive wild pigs, specifically in regions with the most small operations.

COVID-19, livestock supply chains and livelihoods in India: a review of impacts and implications

Purpose The global outbreak of COVID-19 and its subsequent varied impacts on different economic activities necessitate to examine its disruptions and impacts on livestock sector in India due to its recently surging potential as an unrivaled alternative to boost farmer’s income.Design/methodology/approachThe studies for review were identified through search in different databases using relevant keywords. Only full text papers written in English language were reviewed. The review was organized and streamlined using Covidence software.FindingsAnalysis of the literature reveals adverse effects of COVID-19 on functioning of input and output stages of livestock supply chains. This has resulted in upstream and downstream economic losses that affect livelihoods of the producers.Research limitations/implicationsScale of unprecedented crisis due to COVID-19 pandemic requires creative policy decisions to make livestock production systems robust, resilient and sustainable. Organized production systems are required to integrate with livestock-tech startups to modernize their supply chains, whereas local supply chains are required to reorient with government’s intervention in terms of developing on-farm production and postproduction processing facilities.Originality/valueAlthough there exist some evidence on COVID-19-related impacts on livestock sector of India, but an integrated review of evidence on COVID-19 related disruptions at all the stages (from input supply to marketing) of livestock supply chains was missing.

Perceptions of livestock value chain actors (VCAs) on the risk of acquiring zoonotic diseases from their livestock in the central dry zone of Myanmar

ObjectivesThe Central Dry Zone (CDZ) is one of the most important livestock production areas of Myanmar. However, there is an eminent lack of information on the attitudes and traditional beliefs of local farmers and livestock supply chain actors in CDZ of Myanmar on the public health implications. A modified data collection instrument of the Health Belief model was developed to investigate attitudes, beliefs and barriers to the application of recommended zoonotic disease prevention.Study designCross-sectional study.MethodData analyses were conducted considering a two-phase multilevel mixed effect binomial generalized linear models modelling approach.ResultsThe availability of information about zoonosis to supply chain actors influenced their confidence to implement preventive actions (OR = 1.5, p = 0.045 for cattle diseases; OR = 1.5, p = 0.022 for village chicken diseases). Supply chain actors were more likely aware of zoonosis transmitted by cattle compared to livestock farmers (OR = 0.3, p = 0.005 for cattle farmers), while people not rearing or trading small ruminants and/or poultry were less likely to be aware of the zoonotic risk associated with these animals (p < 0.005). Information on zoonosis transmitted from small ruminants was mainly promoted through farmers (p = 0.032), while information on zoonotic diseases that can be obtained from chickens was disseminated through farmers, local authorities and the media. Nevertheless, appropriate hand hygiene measures (i.e. cleaning of hands after touching, cutting, cooking meat) (OR = 7.7, p < 0.001 for zoonotic small ruminant diseases; OR = 1.6, p = 0.073 for zoonotic village chicken diseases) and treating of sick animals (OR = 7.3, p < 0.001 for small ruminant zoonotic diseases; OR = 2.2, p = 0.031 for village chicken zoonotic diseases) increased the confidence of small ruminant and village chicken owners to prevent these zoonotic infections.ConclusionsThe findings from this study indicate that while gender and the availability of information on zoonotic risks play an important role on the perceived threat of zoonoses, the practice of prevention methods influenced the confidence of value chain actors (VCAs) on zoonoses prevention.

Recalculating the global warming impact of italian livestock methane emissions with new metrics

The warming impact of methane (CH4) emissions calculated using the metrics proposed by the Intergovernmental Panel on Climate Change (IPCC), which measure its global warming potential in 100 years (GWP100) expressed as carbon dioxide equivalents (CO2 e), accounts for the greatest impact in animal production chains. This work uses the new metrics, proposed to consider the difference between short living climate pollutants (SLCP), such as CH4, and long living climate pollutants (LLCP), such as carbon dioxide (CO2), which measure the warming equivalent (we) effect relative to that of CO2 in a given time frame (GWP*) and expressed as CO2 we. The GWP* was applied to CH4 emissions from all Italian livestock supply chains and compared with GWP100 for annual and cumulative assessment from 2010 to 2020 of the impact of this gas on climate change. Using official data published by Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA) from 1990 to 2020, almost all species, except for buffalo (+272.6% of emissions calculated with the new metrics), revealed lower CH4 emissions with the greatest re-dimensioning for non-dairy cattle (-53786 kt of CO2 we of calculated with GWP* compared to +66437 kt of CO2 e estimated with the GWP100 method). The total cumulative contribution of Italian livestock production to global warming over the past 10 years, including the nitrous oxide (N2O) emissions, has been greatly negative (-48759 kt of CO2 we) compared to the data calculated using the GWP100 method (+206091 kt of CO2 e). In conclusion, the application of GWP* metric to CH4 emissions of all Italian livestock supply chains allowed to better identify the role of Italian livestock on climate change. Over the 2010–2020 time frame, the Italian animal supply chains reduced the warming impact related to its CH4 emission, with the ruminants (expect buffaloes) being the major contributor to this positive effect. HIGHLIGHTS The application of GWP* metric reduced the warming impact of CH4 emissions of Italian dairy cattle, non-dairy cattle, sheep, goats, poultry and rabbits. The reduction of CH4 emission from the major ruminant species is the major contributor to the positive effect on climate change detected over 2010–2020 time frame. The application of GWP* metric to CH4 emissions of all Italian livestock supply chains allowed to better identify the role of Italian livestock on climate change.

Greening livestock supply chains: a conceptual framework from an empirical study in Vietnam

Greening livestock supply chains: a conceptual framework from an empirical study in Vietnam

INTEGRATING BLOKCHAIN TECHNOLOGIES IN ORGANIC AGRICULTURE AND ORGANIC ANIMAL HSUBANDRY

Blockchain technologies can be applied in organic agriculture and livestock farming to improve different aspects of farm performance. There are also potential economic benefits of using blockchain technology in organic farming. They could improve efficiency by automating and streamlining various aspects of the organic livestock supply chain, resulting in cost savings and higher profits for farmers. The technology can also improve traceability and transparency by providing an immutable and transparent record of every transaction in the supply chain, which can lead to increased consumer trust and demand for organic products. Additionally, blockchain technology can help reduce fraud in the organic market, provide access to new markets, and deepen collaboration between farmers, processors, and supply chain stakeholders. Blockchain technologies can reduce the costs and time associated with traditional payment systems. The study highlights some of the potential uses of blockchain technologies based on a comprehensive review of existing literature, but also based on existing platforms and models of integrating blockchain technologies within the operational activities of different stakeholders within the organic farming sector.

Perspectives of digital agriculture in diverse types of livestock supply chain systems. Making sense of uses and benefits.

Digital technology is being introduced to global agriculture in a wide variety of forms that are collectively known as digital agriculture. In this paper we provide opportunities and value propositions of how this is occurring in livestock production systems, with a consistent emphasis on technology relating to animal health, animal welfare, and product quality for value creation. This is achieved by organizing individual accounts of digital agriculture in livestock systems according to four broad types-commodity-based; value seeking; subsistence and nature-based. Each type presents contrasting modes of value creation in downstream processing; as well as from the perspective of One Health. The ideal result of digital technology adoption is an equitable and substantial diversification of supply chains, increased monetization of animal product quality, and more sensitive management to meet customer demands and environmental threats. Such changes have a significance beyond the immediate value generated because they indicate endogenous growth in livestock systems, and may concern externalities imposed by the pursuit of purely commercial ends.

Risk assessment in livestock supply chain using the MCDM method: a case of emerging economy.

The purpose of the study is to identify and assess the risks related to the livestock supply chain. The major risk related to the livestock supply chain are identified through the comprehensive literature review and finalized with the help of the expert's feedback. Initially, seventeen major livestock supply chain risks are finalized, and these risks are categorized into four major dimensions. Further, analytical hierarchical process (AHP) is used to prioritize these identified major risks based on their severity. Finally, sensitivity analysis is conducted to check the robustness of the risk priorities. The result shows that "input supply risk" is the most significant risk dimension followed by "production risk," "post-harvest risk," and "marketing & price risk." The finding also suggests that "poor quality and under supply of feed and fodder," "lack of proper waste disposal," and "absence of certification for the quality of animals" are the major risks among all seventeen risks. The highest priority risks are input supply risks which require the attention of the livestock supply chain partners. The proposed research framework is used to identify and analyze the livestock supply chain risks. The findings of this research might be beneficial for the farmers and other livestock supply chain stakeholders in developing policies/plans/strategies to control the risk in their livestock supply chain.

Embodied HANPP of feed and animal products: Tracing pressure on ecosystems along trilateral livestock supply chains 1986–2013

The global livestock system puts increasing pressures on ecosystems. Studies analyzing the ecological impacts of livestock supply chains often explain this pressure by the increasing demand for animal products. Food regime theory proposes a more nuanced perspective: it explains livestock-related pressures on ecosystems by systemic changes along the supply chains of feed and animal products, notably the liberalization of agricultural trade. This study proposes a framework supporting empirical analyses of such claims by differentiating several steps of livestock supply chains. We reconstructed “trilateral” livestock supply chains linking feed production, livestock farming, and final consumption, based on the global flows of 161 feed and 13 animal products between 222 countries from 1986 to 2013. We used the embodied Human Appropriation of Net Primary Production (eHANPP) indicator to quantify pressures on ecosystems linked to these trilateral livestock supply chains. We find that livestock induced 65 % of agriculture's pressure on ecosystems, mostly through cattle grazing. Between 1986 and 2013, the fraction of livestock-related eHANPP that was traded internationally doubled from 7.1 % to 15.6 %. eHANPP related to the trade of feed was mostly linked to soybean imported for pig meat production, whereas eHANPP associated to traded animal products was mostly linked to cattle meat. eHANPP of traded animal products was lower but increased faster than eHANPP of feed trade. eHANPP was highest at the feed production level in South and North America, and at the consumption level in Eastern Asia. In Northern Asia and Eastern Europe, eHANPP was lowest at the animal products production level. In Western Europe, the eHANPP was equal at the animal products production and consumption levels. Our findings suggest that options to reduce livestock's pressures on ecosystems exist at all levels of the supply chain, especially by reducing the production and consumption in high-consuming countries and regulating international supply chains.

Performance Measurement Model for Sustainability Assessment of the Swine Supply Chain

In this paper, a model and a set of indicators for evaluating the sustainability in swine supply chains are presented and discussed. Using the Delphi method, environmental, social and economic indicators were identified (namely environmental performance indicators to evaluate soil, water, air, energy and environmental practices; social performance indicators related to human capital and social interaction; and economic performance indicators that address labor remuneration and return on investment). Subsequently, the proposed sustainability assessment model was applied for validation purposes in three different companies belonging to the swine supply chain in the southern region of Brazil. This study differs from previous ones by focusing on the sustainability assessment of the upstream and downstream of the supply chain, which are responsible for significant impacts. The performance of the studied companies from the three triple bottom-line (TBL) dimensions is significantly different. Both negative and positive impacts were found to be related to most of the specific metrics. The economic dimension presented a better performance than the environmental and social ones. Furthermore, there was a predominance of negative impacts in the environmental dimension, in relation to the soil, water, air, and energy indicators. Thus, specific actions, strategies, and policies must be designed for the different companies towards an effective and comprehensive sustainability throughout the swine supply chain. The proposed model can be extended to other companies in the same supply chain, replicated in other livestock and agribusiness industries and supply chains (such as cattle and poultry), and it can be used in different locations and including additional indicators and metrics.

Food Fraud Prevention using a Blockchain-Based System: Case Study Slaughterhouse in Sidoarjo

Data consistency and security are the most important thing to pay attention to in the supply chain of foodstuffs derived from livestock. However, the length of the existing supply chain and the lack of facilities to store and maintain the correctness of livestock data are problems in ensuring the security of the data. The use of blockchain in livestock has existed in Indonesia, but its scope is only to agriculture or only a tiny part of the livestock supply chain. Therefore, this research was conducted to develop the application of a blockchain-based livestock supply chain system in Indonesia. This research begins with conducting a literature study, analyzing the slaughterhouses. Then the development of a blockchain system for the food supply chain was carried out. System validation was carried out through interviews with the head of the slaughterhouses, breeders, and wholesalers. The results state that the system helps ensure the security of food supply chain data from livestock. However, the problem that has not been resolved is the validation process of data on the weight loss of foodstuffs in the supply chain process. This technique is expected to be used for halal certification in the future.&#x0D;

Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain

Structural Equation Modelling for Validating Disruptive Factors in Livestock Supply Chain

Embodied Hanpp of Feed and Animal Products: Tracing Pressure on Ecosystems Along Trilateral Livestock Supply Chains 1986-2013

Embodied Hanpp of Feed and Animal Products: Tracing Pressure on Ecosystems Along Trilateral Livestock Supply Chains 1986-2013

The complex adoption pathways of digital technology in Australian livestock supply chains systems

The complex adoption pathways of digital technology in Australian livestock supply chains systems

AN ANALYSIS OF MARKETING EFFICIENCY OF BEEF CATTLE BREEDERS PERCUT SEI TUAN DISTRICT, DELI SERDANG REGENCY, NORTH SUMATERA

The livestock business is a business consisting of fattening and breeding. Cows are one of the food producers that have a lot of value and nutrition. The high economic value is in line with the increase in population, and the need for food consumption in Indonesia continues to increase every year. Therefore, we must be able to cope with the increasing demand for meat. One of these needs is raising cattle or animal feed and understanding the livestock supply chain as seen from the decline in livestock and feed prices in the market. Knowledge of supply chain flow and beef cattle marketing efficiency is an alternative solution to ongoing problems. The research location is in Percut Sei Tuan District, Deli Serdang Regency, North Sumatra, considering that Percut Sei Tuan District is one of the sub-districts that runs a beef cattle business. This study aims to see how the efficiency of beef cattle marketing. The method used is measuring marketing efficiency and looking at the farmer's share in the beef cattle supply chain. From the study results, it was found that the marketing efficiency analysis of each of the beef cattle supply chain actors in this study has reached a high level of efficiency starting from suppliers, farmer groups and retailers.