Potato Supply Research Articles

Optimizing the Sweet Potato Supply Chain in Zimbabwe Using Discrete Event Simulation: A Focus on Production, Distribution, and Market Dynamics

This study leverages a Discrete Event Simulation (DES) model to optimize the sweet potato supply chain in Zimbabwe, focusing on production, distribution, and market dynamics under varying climate conditions. The integration of climate data into the simulation model reveals significant insights into the resilience of different sweet potato varieties, particularly highlighting the suitability of yellow-skinned sweet potatoes for harsh climates due to their high resilience and drought resistance. However, market preferences still favor white-skinned varieties despite their vulnerability to climate extremes. The DES model identifies key bottlenecks, particularly in cultivation and transportation, that hinder supply chain efficiency. To address these challenges, the study emphasizes the importance of targeted interventions, such as improving access to irrigation, strengthening pest management, and adopting community-based resource-sharing approaches. These strategies are critical for enhancing both the resilience and efficiency of the supply chain. Additionally, the study highlights the urgent need for adaptive strategies to mitigate the effects of drought on agricultural productivity, especially in regions that heavily rely on crops like sweet potatoes. Overall, this research offers strategic insights for policymakers and stakeholders aiming to improve food security and agricultural productivity in Zimbabwe, as well as in other countries with similar climate challenges.

The responsiveness of tamasha potatoes to biological fertilizers

The article presents the results of research work carried out in the direction of studying the influence of biological fertilizers on the yield and qualityof the Tamasha potato variety on heavy loam dark chestnut soils of Central Kazakhstan. It was carried out on a land plot with a humus content of 2.73-2.79 %, total nitrogen - 0.147-0.172 %, total phosphorus - 0.20- 0.25 %, a high level of supply of mobile phosphorus and potassium, a low content of nitrate nitrogen, a weakly alkaline soil pH. The research work carried out showed that potatoes have a high need for biological fertilizers, which, according to the types of fertilizers, gave an additional yield of up to 20 %, and also had a positive effect on quality indicators. It was shown that the effectiveness of biological fertilizers depends not only on its composition, but also on the influence of external factors, including first the soil conditions and the supply of potatoes with macronutrients.

Resources time footprint for assessment of human influence on ecosystem service from a sustainability standpoint

Nature provides diverse services to humanity, known as ecosystem services (ES), yet certain services, such as food and timber, are geographically distant from human settlements. This spatial separation of ES from supply area to demand site fosters transfer through human-made carrier as ES flow, resulting in social and ecological impacts. This study delves into this complex ES supply, flow, and demand relation. While the conventional ES assessment approach mainly quantifies ES supply potential, Resources Time Footprint (RTF) is introduced as a new indicator to evaluate human intervention part of ES supply and flow. RTF examines intergenerational sustainability of ES by evaluating material, land, labor, and pollutant resource utilization in relation to individual allocations. The efficacy of this integration is evaluated through a case study covering 17 ESs dynamics in central Bhutan for 2010 and 2020, and RTF is applied to potato-ES, given its higher human intervention in the area. This is finally validated against commonly used emergy analysis and its derivatives. The study observed a 3.5% increase in 17 ESs, with minor intergenerational implications associated with supply and flow of potato-ES. The average per capita RTF values were 0.81 and 0.52 years, or 2 and 1.3 years per 100 kg of potatoes for the 2010 and 2020 base case, respectively. This smaller RTF value for 2020 indicates reduced resource occupancy rates with higher intergenerational sustainability. This replicable indicator effectively evaluated human related impacts on ES supply and flow and identified land and labor as underperforming aspects with higher occupancy rates. The comparative validation showed inadequateness of emergy-derivatives in examining human intervention in ES flow, and limitations of ES-RTF in evaluating nature's contribution. This underscores the complementary nature of two methodologies. Overall, this study contributes to a telecoupling framework for a sustainable society, enhancing coherence and consistency in analyzing ES supply and flow.

Multicriteria Methodology for the Efficient Programming of Agricultural Cultivation Activities in a Colombian Region

The potato is one of the main agricultural products in Colombia and is the second most important crop in the country. The production of this tuber represents 3.3% of the country’s agricultural gross domestic product (GDP). More than 100,000 producer families subsist on cultivation at the national level, the vast majority of which are smallholdings. However, smallholders are not able to exploit the full potential of this activity, and one of the main factors that does not allow for improving productivity is the inefficient use of land in agricultural activities. This leads to issues such as erosion, overexploitation of soil resources, reduced productivity, and, depending on the time of year, even an excess of potato supply. Therefore, a multicriteria methodology is proposed based on the key elements of the potato crop production cycle and its environment, made up of farmers from the municipality of Ventaquemada, located in Boyacá, where potato cultivation is a traditional practice. This department is the second-largest potato-producing department in the country. A review of the literature was carried out to determine and characterise the area of the selected department, and based on the above, the relevant criteria were defined and the alternatives to be evaluated were identified. Second, the proposed model is evaluated with its respective prioritisation process of both the criteria and the alternatives according to the analytic hierarchy process (AHP) methodology. Finally, the results of the model are presented, prioritizing the type of tillage, irrigation method, seed type, and its disinfection process for potato cultivation. This takes into account topographic and climatic conditions, the ecosystem, soil type, implementation costs, among other factors specific to the case study.

IMPACT OF COVID-19 ON THE SUPPLY AND PRICES OF LETTUCE, POTATO AND TOMATO IN MINAS GERAIS

The COVID-19 pandemic has affected the dynamics of the production, commercialization and consumption of vegetables. Lettuce, potato and tomato, an herbaceous vegetable, a tuberous vegetable and a fruit vegetable, respectively, are among the group of vegetables purchased most frequently. The objective of this study was to evaluate how the pandemic affected the price and supply of lettuce, potato and tomato in 2020 compared to previous years based on data from CEASA-MG from 2016 to 2021. The supply of lettuce was constant in 2020 but lower than the previous year until the month of August, and in December, the price was equal to that of the previous year. The supply of potato was lower throughout 2020 than in previous years. The price of potato was lower in 2020 than the price charged in 2019, until October 2020. The supply of tomato was low throughout 2020. Additionally, with respect to price, there was a decrease from March to July 2020 and a subsequent increase, surpassing the prices of previous years starting in October. In conclusion, both the supply and price of these vegetables were affected by the COVID-19 pandemic.

Prediction of potato dry matter content by FT-NIR spectroscopy: Impact of tuber tissue on model performance

Potato, an important cash crop, is critically affected by supply chain losses that require attention of both research and industry to ensure sustainable production (SDG 12.3). Within potato supply chain management, dry matter (DM) determination is a key factor affecting the harvest quality, storability, food losses, designated user and tuber prices. Even though rapid methods like near-infrared spectroscopy (NIR) enable operators to carry out fast, reliable in situ measurements, the prediction results are often unsatisfactory due to inherent variability of tuber's composition. Thus, this study aims to evaluate Fourier Transformed-NIR based DM prediction in different potato tissues: i) periderm, ii) cortex, iii) outer medulla and iv) inner medulla of 12 different cultivars. The DM prediction models developed using standard chemometrics approaches (i.e., partial least squares, PLS; and interval-PLS, iPLS) showed that features selection by iPLS allowed for better performances. Among the evaluated tissues, the inner medulla had more precise and reliable measurements with RMSE and R2 prediction values of 0.93% and 0.90, respectively. This information can be used to develop more advanced systems inclusive of portable tools and advanced technologies for in situ evaluation to support operators and ensure better pre- and post-harvest management of potatoes.

Synergies and trade-offs in drought resilience within a multi-level UK food supply chain

Weather extremes are the biggest challenge for supply chains worldwide, with food supply chains particularly exposed due to agriculture’s sensitivity to weather conditions. Whilst attention has been paid to farm-level impacts from, and adaptation to, weather extremes, there remains a need to better understand how different actors along the supply chain suffer, react and adapt to these natural hazards and how their resilience-building strategies affect other actors’ and the whole system’s resilience. Taking the UK potato supply chain as a case study, this paper analyses the synergies and trade-offs in drought resilience in a multi-level food supply chain. Data from an online survey (87) and interviews with key informants (27) representing potato supply-chain actors (growers, packers, processors, retailers) were used to analyse drought risk perceptions, impacts and coping strategies, long-term resilience measures and further actions to build system resilience. Results suggest that the potato supply chain has increased its resilience to weather extremes due to retailers and packers having a wider geographical spread of supply, an increasing reliance on forward contracts and favouring growers with water security. However, a conceptual framework of resilience-building strategies adopted by supply chain actors shows that these measures are largely designed to reduce their own risk without considering implications for other parts of the chain and the system as a whole. A more integrated approach to promote drought resilience in complex food supply chains that enables improved vertical collaboration and trust between actors is therefore needed.

ANALISIS KONDISI RANTAI PASOK KOMODITAS KENTANG (SOLANUM TUBEROSUM L.) DI KABUPATEN BREBES

<em>The potato is one of the vegetables comodities in Brebes Regency. The last three years, there has been a decline in production. Supply chain that has been implemented is deemed not optimal while the region has potential that can be exploited. The purpose of this study was to determine supply chain of the potato in Brebes Regency.The analytical method uses a Food Supply Chain Network (FSCN). The result showed that conditions based on the aspects of the target, structure, management, resources, and supply chain business processes. Target potatoes are sold to the local Brebes market and outside the region. There are four supply chain structure.It members are farmers, middlemen, wholesalers, small traders, retailers, and consumers. Supply chain management related to partner selection, contractual agreements, transaction systems, government support, and supply chain collaboration. The criteria for selecting partners are bidders with high prices, customers, and middlemen who are bound to provide capital loans to farmers. Transaction system through grace and cash system. The government support also contributes to the sustainability of it. Resources owned by members of the supply chain consist of physical, technology, and capital resources. Business processes can be seen from distribution patterns, support chain members, risk and trust building. Distribution patterns flow products, finance, and information from farmers to consumers, and vice versa. Each member of the potato supply chain requires equipment and input in the form of raw materials in the production process. Each member has different risks in the supply chain business process.</em>

Rantai Pasok Kentang Di Desa Makaaruyen Kecamatan Modoinding Kabupaten Minahasa Selatan

This study aims to determine product flow, information flow, and financial flow of potato commodities in Makaaruyen Village, Modoinding District, South Minahasa Regency. This research was conducted for 8 months, from March to October 2022. The data analysis method used in this research is descriptive analysis using tables and charts. The data used are primary data and secondary data. Primary data was obtained through direct interviews with respondents using a structured questionnaire. Secondary data were obtained from offices, districts, village offices, related agencies and journals relevant to research. The results showed that the potato supply chain in Makaaruyen Village consisted of farmers, collectors, traders and retailers. The flow of potato products starts from farmers who produce potatoes, collectors who buy potatoes from farmers, then retail traders who sell potatoes to end consumers and there are inter-island traders. The price level in the product flow varies in each supply chain actor. The financial flow starts from retailers who buy potatoes to collectors, then collectors buy potatoes from farmers with a payment system made entirely in cash. The flow of information flows from two directions, the first direction is that farmers inform collectors about the products harvested, collector traders inform inter-island traders and also inform retailers about the number of requests to farmers. The second stream of collecting traders informs farmers about the volume of crabs requested, the purchase price, the time to return the product and information about the supply of the product.

The influence of freeze drying on the quality indicators of potato tubers

In Russia, there is an active development of the Arctic, the Northern regions, the supply of which with food is difficult. The production and supply of freeze-dried vegetables and potatoes is an important task, given that the need for potatoes in terms of nutritional standards is higher than all other vegetables combined, and cargo deliveries are by weight, reducing the weight of the supplied potatoes by four times, taking into account the increase in shelf life by dozens of times and resistance of the freeze-dried product to frost, this is an extremely important area of research. The purpose of the research is to study the quality indicators before and after freeze-drying of potato tubers of domestic and foreign varieties, including varieties with pigmented pulp and skin. The measurements were carried out in the laboratory of the A.G. Lorch” using standard techniques. According to the results of biochemical analysis, the total content of alcohol-soluble flavonoids in terms of quercetin in tubers was 0.08-1.13 mg/g in wet weight, in freeze-dried samples - 0.22-1.46 mg/g in dry weight. The content of low molecular weight antioxidants in fresh potato pulp varied from 0.12 to 1.92 mg/g wet weight, the total content of phenolic compounds in sublimated samples varied from 0.55 to 4.63 mg/g dry weight in gallic acid equivalents. A significant advantage of this drying is the ability to restore freeze-dried potatoes in 60 minutes. The conducted studies confirm that the content of antioxidants in different varieties of potatoes is different and remains after freeze-drying, which makes it possible to select potato varieties for creating healthy food products. Freeze drying of vegetables is an energy-intensive operation. However, according to domestic and foreign manufacturers of freeze-dried products on an industrial scale, the high quality of finished products, the absence of costs for creating a special temperature and humidity storage regime, and a low specific gravity offset the costs of drying.

AN OVERVIEW REGARDING THE INCIDENCE OF SOME NECROTIC VIRUSES IN SEVERAL ROMANIAN AREAS

PMTV (Potato Mop-Top Virus ) and PAMV (Potato Aucuba Mosaic Virus) are new damaging pathogens of potato crop in Romania. They can cause serious reduced yield and decrease of the tuber’s quality. In case of these viruses, infected plants do not allways show signs of disease and the symptoms depend on potato cultivar, virus strain and the environment. PMTV and PAMV infection of material plants can produce spraing in tubers of sensitive varieties. PMTV causes heavy losses in northen Europe and it is very difficult to control. PAMV is a helping virus for the development of dangerous potyvirus like Potato Virus Y (PVY). Elimination of all these pathogens from the potato supply chain is essential for potato production and choosing resistant varieties to the infection with these viruses could be one of the measures recommended for farmers and producers. The results of this preliminary study shows that PMTV and PAMV were not found in the material collected from the following varieties: Armonia, Azaria, Christian and Millenium (samples collected from the counties Braşov, Covasna, Harghita, Suceava in 2019, 2020 and 2021).

MAPPING SUPPLY CHAIN STRATEGY ON SWEET POTATO COMMODITY IN MEDAN CITY

The concept of supply chain management (SCM) has been widely used but is limited to industrial products, while in agriculture, especially fresh products, it has received little attention. In fact, when viewed from the characteristics of the product, agri-fresh supply chain management (FSCM) is very necessary. This study was carried out in addition to identifying the supply chain of sweet potato which is an important food crop in North Sumatra as well as being an additional reference in research that focuses on sweet potato commodities.This research was conducted in the area of Sei Beras Sekata, Sunggal, Deli Serdang. Respondents are actors in the supply chain, starting from farmers to consumers. The sample is determined through the snowball sampling technique because there is no sample frame. There were 29 informants in this study consisting of farmers, collectors, agents, traders and consumers.The research showed that there are three sweet potato supply chain lines, involving four marketing agencies. The first channel is a supply chain channel without intermediaries, meaning that farmers sell directly to consumers. The second channel is a channel with one intermediary, where farmers first sell sweet potatoes to retailers and then retailers sell to consumers. The third channel is the channel that has the longest chain, which involves collectors, agents, and retailers.

Effect of Connected and Autonomous Vehicles on Supply Chain Performance

This paper proposes a simulation framework that quantitatively assesses the direct and indirect effects of connected and autonomous vehicles (CAVs) on a supply chain system by varying the levels of CAV market penetration and driverless truck adoption. To quantify CAV effects on transportation network, this paper first collects secondary data and adopts simulation parameters and equations from existing literature. The results from transportation analysis are then incorporated into supply chain analysis to evaluate how CAVs would change supply chain performance measured by total travel time, greenhouse gas emissions, and supply chain cost. As the performance of supply chain systems involving perishable or semi-perishable products is highly sensitive to CAV market penetration rate and driverless truck adoption rate mainly because of reduced travel time, this paper uses fresh potato supply chain systems as an illustrative example. The case study results indicate that CAVs can greatly improve supply chain performance directly and indirectly by decreasing total travel time and supply chain costs, whereas emissions are reduced primarily through the adoption of driverless trucks in the supply chain system. The effect of CAVs on supply chain performance becomes even greater when commodities travel longer distances. This study will allow supply chain managers (and grocery delivery companies) to better understand how supply chain design and operation could be transformed and reoptimized in response to the introduction of CAV technologies. The research outcomes would help them better utilize the opportunities and address possible challenges that may arise as a result of CAVs.

Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach

CONTEXTThe world is experiencing frequent extreme weather events like droughts, snowstorms, and shifting of seasons due to climate change. Increased frequency and severity of these extreme weather events threaten food security because agriculture depends on climate conditions. Impacts of climate change on the agricultural system not only occur at the grower's level, but also cascade to other levels along the supply chain. OBJECTIVEThis study aims to quantify a wide range of economic impacts of different extreme climate events on different stages of a food supply chain. METHODSWe chose the potato supply chain in Idaho as a case study. We developed a multi-echelon supply chain simulation model using an agent-based modeling (ABM) approach with five types of agents—farmers, shippers, processors, retailers, and logistics companies. In addition to the business-as-usual (BAU) scenario, we designed two climate-related disruption events—drought and snowstorm. We quantified the heterogeneous impacts at different stages of the supply chain for both fresh and processed potatoes using key performance indicators (KPIs) including revenues, prices, lead times, traded quantities, and food waste quantity. RESULTS AND CONCLUSIONThe impacts of the disruption events are different on different agents in the supply chain for different product categories. The price hike of fresh potatoes is far higher than processed potatoes during disruption events. This price hike makes consumers switch to processed potatoes, which require more fresh potatoes as an input that further reinforces the price hike. However, because processed potatoes have an elastic demand, once their prices go up due to higher input cost, their demand drops. Non-contracted farmers gain additional revenues from the disruption events, whereas contracted farmers incur a loss due to lock-in price and lower than usual harvest. SIGNIFICANCEThe methodology developed in this study could be applied to other food and agricultural supply chains for understanding the vulnerabilities at agent levels due to climate change disruption events. The findings would help develop mitigation strategies or policies to improve the well-being of the overall supply chain.

Optimizing planting dates and cultivars can enhance China's potato yield under 1.5 °C and 2.0 °C global warming

Rising temperatures and varying precipitation patterns pose huge challenges to the global potato supply. Understanding the adaptation potential of potato to climate change is urgently needed to help develop effective measures for future agriculture and food security. In this study, we evaluated future potato yield changes under 1.5 °C and 2.0 °C warming scenarios, and explored potential adaptation strategies by optimizing planting dates (PD) and cultivars across China's potato production regions. Compared with the baseline period (1986–2015), potato yields would increase in North single (NS) and Central double (CD) cropping system zones, but would decrease in South winter (SW) and Southwest mixed (SWM) cropping system zones under the 1.5 °C warming scenario without considering adaptation measures. Under the 2.0 °C warming scenario, potato yield would increase across China's potato planting zones except for SWM. Adjusting PD would be more effective for increasing rainfed potato yield across China than changing cultivars under the two warming scenarios. Overall, late PD coupled with a late-maturing cultivar would be the optimal selection for rainfed potato production. For irrigated potato, adjusting PD would be more effective than changing cultivars in NS and SW, but the opposite would be true in CD. The optimization of a single measure would have little impact on yield in SWM. The optimum PD would be early PD in NS and late PD in SW and SWM. The optimum cultivar would be late-maturing in NS, CD, and SWM, and middle-maturing in SW. Under the optimal combination, rainfed and irrigated potato yield would increase by 3.4–44.2% and 2.6–49.3%, respectively, under the 1.5 °C warming scenario, and would increase by 7.1–51.6% and 8.5–65.2%, respectively, under the 2.0 °C warming scenario. Our study results provide valuable information for policymakers and stakeholders involved in potato production to aid in planning agricultural strategies to safeguard potato production.

Early selection of drought stress tolerance in potato genotypes using polyethylene glycol (PEG) in the in-vitro condition

Drought stress threatens potato production by reducing tuber yield. To maintain the supply of potatoes, potato cultivars that are able to adapt and tolerate to water deficit conditions are needed. The aim of this study was to obtain potato genotypes with high tolerance in the early in-vitro selection by Polyethylene Glycol (PEG) treatment. Fifty-one potato genotypes were used in this in-vitro evaluation, cultured in the MS medium which treated by four level of PEG 6000 to induce the drought stress, namely 0, 30, and 60 g.L-1. The study revealed that in-vitro plants respond to PEG-induced drought stress by reducing their growth and vigour. The decreasing of plantlet vigour and leaves size also observed. At the end of observation, five genotypes performed good vigour at the 60 g.L-1 of PEG 6000, namely CIP 394613.139 × 5.13:1.1, ATL × 3.11:1.7, 2.13 × ATL:1.12.10.3, ATL × 3.11:3.6, and ATL × 3.11:8.14. Those genotypes were indicated tolerant to drought stress and need to be followed up with further evaluation in the green house environment to see the ability of tuberization under controlled water deficit condition.

A Vector Error Correction Model to Estimate Potato Supply Response in Colombia

The present study aims to investigate the relationship between potato output supply and potato and fertilizer prices in Colombia using 2003-2018 time series data. Johansen’s cointegration and the vector error correction framework were employed, and Granger and diagnostic tests were performed. The empirical results show a strong causal relationship between the variables and that the signs and the magnitude of coefficients are statistically significant. Potato and fertilizer prices are inelastic, and the speed adjustment coefficient of 70 % implies that it takes a short time for farmers to respond to price movements. It can be concluded that own-price and fertilizer prices are significant in determining output supply responsiveness in both the short and long run.

Development of the first PVM TaqMan\xae primer set and a one-step real-time multiplex DiRT-PCR for the detection of PLRV, PVY, PVM, PVS, PVA and PVX in potato tuber sap

Testing for potato viruses is globally very important to prevent a critical shortage of potato supply. In most countries, testing is obligated by law. In Germany, seed potatoes are monitored for six viruses: PLRV, PVY, PVM, PVA, PVX and PVS. They can cause up to 90% loss of potato tubers in the field. Common methods currently used for testing are ELISA and conventional real-time PCR, but both are very time-consuming, and the former needs a high capacity of green houses and human resources, the latter elaborate RNA extraction steps. Recently, we proposed a new method called real-time DiRT-PCR which enables us to test for PLRV, PVY and PVS along with an internal control in three duplex real-time PCR reactions directly on diluted tuber sap. In this study, we describe the first TaqMan® assay for PVM published so far and embed it into a multiplex system to detect the remaining viruses. We are now able to sensitively test for the presence of six viruses in two multiplex reactions using the real-time DiRT-PCR without RNA purification.

TREND ANALYSIS OF AREA, PRODUCTION, PRODUCTIVITY, AND SUPPLY OF POTATO IN SINDHULI DISTRICT AND NEPAL: A COMPARATIVE STUDY

The study; conducted from January, 2020 to June, 2020; focuses on the comparative study of the area, production, and productivity trend of potatoes over 50 years in Sindhuli district and Nepal and a brief overview on quantity supply to the Kalimati fruits and vegetable market. The time-series data from 1968/69 to 2017/18 of Sindhuli and Nepal along with 6 years supply data (2013/14-2018/19) from different districts to Kalimati market were collected from reliable sources (Ministry of Agriculture and Livestock Development and Kalimati Fruits and Vegetable Market Development Board) and analysis was done using Microsoft Excel. Between 1968/69 and 2017/18, the area under potato cultivation in Nepal and Sindhuli has changed by 573 percent and -46 percent respectively while production increased by 907.6 percent in Nepal and 46 percent in Sindhuli. After 1982 dramatic shift in production was observed in Nepal as there was 7 percent of growth rate while in Sindhuli, the production trend highly fluctuates throughout the period. The average yield was 9.75mt/ha and 8.75mt/ha for Nepal and Sindhuli district. Sindhuli district contributes 1.16 percent of Nepalese potato growing area and 0.91 percent of Nepalese potato production. The trend of quantity supply reveals that during 6 years, Indian potato contributes 58 percent of the total amount that came into Kalimati market, while within-country Kavre has the largest share of 19 percent followed by Kathmandu-6 percent and Dolakha-4 percent. However, the trend of quantity supply of potatoes seems highly fluctuating and the Nepalese market is dominated by Indian imports.

Data sharing in food supply chains and the feasibility of cross-chain data platforms for added value

Data analysis and data sharing is becoming increasingly important for creating value in the food supply chain. Readily available data is often already shared between supply chain parties, but to achieve additional benefits these parties will have to invest in additional data capturing. Especially product identity-claims, such as sustainable, equitable, or traceable from farm to fork, require transparency of all parties participating in a supply chain and necessitate investments that unlock the required data. This poses problems in supply chains where power is distributed. Typically, supply chains benefitting from the opportunities of data sharing have a higher degree of vertical integration, in which the power of a purchasing party forces suppliers to invest in data capture and exchange. Such investments are not always a possibility: food supply chains can have a dynamic set of participants, meaning that part of the supplier-purchaser relations is discontinuous or even ad-hoc, making investments in chain-specific data infrastructure unattractive for the chain parties involved. Cross-chain data platforms could contribute to solve such problems, although such initiatives have also generally been pushed by dominant supply chain parties. This limits the scope of application of such platforms. In this research, we discuss the feasibility of cross-chain platforms based on case studies with seafood, fresh fruit, fruit juice and processed potato supply chains in the Netherlands. Five dimensions appear to determine the fit with a cross-chain data platform: (i) shared interest in supply chain performance and data sharing, (ii) parallel chains and dynamic chain composition, (iii) alignment in incentives for data collection, (iv) degree of digitisation, and (v) revenue model for data sharing and collaboration.