Fruit Prices Research Articles

Exploring reasons for high levels of food insecurity and low fruit and vegetable consumption among university students post-COVID-19

High rates of food insecurity and low consumption of fruit and vegetables among university students have been observed prior to the COVID-19 pandemic and intensified during the pandemic. This study aimed to investigate food insecurity among university students and its associations with sociodemographic factors, fruit and vegetable consumption behaviours, and preferred campus programs to address these issues. A convenience sample of 237 Australian university students completed a cross-sectional online survey from October to December 2022. Food insecurity was assessed using the 10-item US Adult Food Security Module, applying the Canadian classification scheme. Sociodemographic variables, fruit and vegetable consumption behaviours, and perceptions of fruit and vegetable access and their affordability were included in the survey. Students were also asked to select the most suitable program(s) and provide reasons for their choice using open-ended questions. Approximately half of respondents (46.4%) were identified as food insecure. The proportion of students meeting the recommended intake of vegetables as specified in the Australian Dietary Guidelines was very low (5.1%) compared with fruit (46.2%). Low fruit consumption was significantly associated with food insecurity (OR = 1.81; 95%CI 1.03, 3.18, p = 0.038). Factors such as the perceived lower accessibility and higher price of fruit and vegetables were significantly associated with higher odds of food insecurity. In terms of potential programs, a free fruit and vegetable campaign was the most popular program, with affordability and physical access being the most frequently cited reasons. These findings suggest that food insecurity is associated with low fruit and vegetable consumption in university students. Therefore, transforming campus food environments and developing food policies at the university level must be considered to address food and nutrition security in university students.

Fluctuation Price Sell Palm Farmers and Impact Socioeconomic Society Farmer Palm Oil in Rokan Hilir Regency Province Riau

Oil palm is the prima donna commodity of plantation crops in this area. Based on data from the Indonesian Ministry of Agriculture, in 2023, Riau Province was recorded as having an oil palm plantation area of 2.87 million hectares or 20.68 per cent of the total area of oil palm plantations spread across 26 provinces in Indonesia. Riau Province occupies the first position as the province in Indonesia which has the largest area of oil palm plantations in Indonesia. In the 11 year period (2011-2021), the area of oil palm plantations in Riau Province increased by 49.07%. This research discusses the impact of fluctuations in the selling price of palm fruit on the socio-economic conditions of palm oil farming communities in Rokan Hilir Regency, Riau Province. The research was conducted using primary data and secondary data, as well as descriptive analysis methods. The research results show that fluctuations in the selling price of palm fruit have a significant impact on income, employment and social conditions of the community. Based on these findings, it is recommended that the Government can provide offers and encourage the development of derivative products from palm oil to maintain the stability of farmers' selling prices for palm oil. This research provides important insights for government policy in improving the welfare of oil palm farming communities in the region.

ACSICS: Joint Distribution Mode Integrating Agricultural Industry Chain Logistics Under the Background of Artificial Intelligence

The purpose is to study the new application of artificial intelligence (AI) technology in the Agro logistics industry distribution modes. This work summarizes the problems in agricultural logistics by investigating the current situation of the logistics distribution modes (LDMs) of Agro products and establishes a joint LDM integrating logistics and agricultural industry chain (AIC). An intelligent virtual center is established for the joint LDM according to the specific situation of Xi’an. Experts are invited to evaluate the proposed LDM. The results show that the existing third-party logistics (3PL), agricultural supermarket docking LDM, and company+farmer shared LDM have respective advantages and disadvantages. The virtual center for the proposed joint LDM multiplies the weight matrix [Formula: see text] and fuzzy evaluation matrix A to obtain a comprehensive fuzzy evaluation result. It evaluates the result according to the maximum membership criterion. Most experts have a relatively good evaluation of the joint LDM. In the comprehensive fuzzy evaluation results, the comprehensive “excellent” score is 0.3755, and the comprehensive “good” score is 0.2678. According to the principle of maximum subordination, the AIC logistics integrating Agro products logistics has an excellent performance, and the overall satisfaction level of performance has exceeded 85%. In addition, Yonghui supermarket adopts the joint LDM, and the price of fruits and vegetables is lower than that of other LDMs. Therefore, the proposed AI-based joint LDM can optimize the distribution route, improve distribution efficiency, and save logistics costs to a great extent.

Effects of cultivar, planting density and rootstock on long-term economic performance of apple orchards in the Northeastern U.S.

An economic analysis of profitability using Net Present Value (NPV) was conducted using data from two long-term training system × rootstock field trials conducted in New York State from 2006 to 2016 (Dressel Farm in southeastern New York State and VandeWalle Farm in Western, New York State). We used trial data for the first 11 years and estimated values for years 12–20 using average data from the last 4 years of field data. The field trials compared four training systems with different planting densities (Slender Pyramid, 840 trees ha−1; Vertical Axis, 1282 trees ha−1; Slender Axis, 2244 trees ha−1; and Tall Spindle, 3262 trees ha−1) each evaluated with several rootstocks in an incomplete factorial treatment list and with two cultivars at each location. By the end of the trial (11 years) all combinations of planting density, rootstock and cultivar were profitable (NPV positive) at the VandeWalle site but at the Dressel site seven combinations of rootstock and planting density with ‘Fuji’ and two combinations with ‘Gala’ were not profitable. Projected profitability over 20 years using estimated yields and fruit quality for years 12–20 showed that all combinations would be profitable by year 20. Estimated 20-year NPV was greatest with the Tall Spindle system with the highest planting density compared to the other lower density systems. Economic performance was mostly driven by planting density, regardless of the rootstock selection. Among cultivars, ‘Honeycrisp’ had significantly higher profitability largely due to high fruit price). ‘Gala’ had intermediate profitability due to high yields and medium fruit price while ‘Fuji’ which had low fruit price had significantly lower profitability than ‘Gala’. Among rootstocks, there was a significant interaction with training system and cultivar, so the same rootstock was not the most profitable with every cultivar and system. With ‘Fuji’ the most profitable combination was on G.16 rootstock planted at the highest density, however, it was not significantly better than with G.11 or M.9. With ‘Gala’ at Dressel farm the most profitable combination was on G.11 in the Tall Spindle system (planted at the highest density) but it was not significantly better than with G.16, G.41, M.9 or B.9. With ‘Gala’ at VandeWalle farm the most profitable combination was on G.41 planted at the highest density but it was not significantly better than on G.11, G.16, M.9 or B.9. With ‘Honeycrisp’ the most profitable combination was on M.9 planted at the highest density but it was not significantly better than G.11, G.16, G.41 or B.9. A sensitivity analysis showed that among economic parameters affecting the long-term profitability of an orchard, fruit price and yield were vastly more important than other factors. Of intermediate importance were the discount rate and labor costs while of much lesser importance were tree costs and land costs.

Fruit Freshness Detection Using Android-Based Transfer Learning MobileNetV2

Abstract. Fruit is an important part of the source of food nutrition in humans. Fruit freshness is one of the most important factors in selecting fruit that is suitable for consumption. Fruit freshness is also an important factor in determining the price of fruit in the market. So it is very necessary to detect fruit freshness which can be done by machine. Take apples, bananas, and oranges as samples. The machine learning algorithm used in this study uses MobileNetV2 with transfer learning techniques. MobileNetV2 introduces many new ideas aimed at reducing the number of parameters to make it more efficient to run on mobile devices and achieve high classification accuracy. Transfer learning is used so that data does not need training from the start, so it only takes several networks from MobileNetV2 that have previously been trained and then retrained with a different purpose to improve accuracy results. Then the models that have been created are inserted into the application using Android Studio. Software testing is done through black box testing. Purpose: The purpose of this research is to design a machine-learning model to detect fruit freshness and then apply it to application Android smartphones. Methods/Study design/approach: The algorithm used in this study uses MobileNetV2 with transfer learning techniques. Models that have been created are inserted into the application using Android Studio. Result/Findings: The training results using MobileNetV2 transfer learning obtained an accuracy of 99.62% and the loss results obtained were 0.34%. The results of the application after testing using the black box testing method required improvements to the application and the machine learning model so that it can run optimally. Novelty/Originality/Value: Machine learning models that have been created using transfer learning MobileNetV2 are applied to Android applications so that they can be used by the public.

Stochastic Modelling Frameworks for Dragon Fruit Supply Chains in Vietnam under Uncertain Factors

Managing uncertainties and risks is always a difficult but fascinating task in fresh fruit supply chains, especially when dealing with the strategy for the production and conveyance of fresh fruit in Vietnam. Following the COVID-19 outbreak, the confluence of economic recession and persistent adverse weather conditions has exacerbated challenges faced by dragon fruit cultivators. This research investigates a two-stage stochastic programming (TSSP) approach which is developed and served as a valuable tool for analyzing uncertainties, optimizing operations, and managing risks in the fresh fruit industry, ultimately contributing to the sustainability and resilience of supply chains in the agricultural sector. A prototype is provided to illustrate the complex and dynamic nature of dragon fruit cultivation and consumption in Vietnam. Data on the selling prices of dragon fruit were collected from several sources between 2013 and 2022 in Binh Thuan Province, Vietnam. The results were obtained from the model by using three different approaches in order of their versatility and efficacy: (1) Scenario tree generation; (2) Sample average approximation; (3) Chance-constrained programming.

Evidencing the importance of the functional unit in comparative life cycle assessment of organic berry crops.

LCA methodology provides the best framework to evaluate environmental impacts in agriculture systems. However, the interpretation of LCA results, in particular when the objective was to compare different production systems, could be affected by the selection of the functional unit (FU). That is why an accurate definition of the FU, in agreement with the function considered for the systems analysed, is essential. In this work, the organic production at small scale of blueberry, raspberry, blackberry and cape gooseberry in North Spain has been analysed following LCA methodology. Although a different distribution of environmental loads was obtained for each crop, in all cases, the main contributions to most of the considered environmental categories were electric and fertiliser consumptions. The different production systems have been compared on the basis of the environmental impacts associated considering different FUs, i.e. based on fruit mass, cultivated area, farm-gate price and nutritional quality of fruits. Carbon footprints (CF) have been also calculated. It was observed that the order of the crops with respect to their environmental performances was the same for the blueberry and raspberry crops (with the lowest and the highest CF, respectively), independently of the selected FU, whereas the order of the blackberry and cape gooseberry crops was interchanged, depending on the FU used. This work supports the need of being aware of the final objective of the orchards when choosing the FU (i.e. producing fruits, cultivating an area, economic benefits or nourishing people), so that valid conclusions can be achieved from the environmental comparison, even for different agricultural products.

Effect of fertilizer discount on fresh fruit bunches production and Nutrients in North Sumatra Indonesia

The low price of fresh fruit bunches a couple of years ago forced oil palm companies to make some efficiencies in the whole business process, including discounting the fertilizer expenses, which consequence in the Fresh Fruit Bunches (FFB) production declining in the first and second years onward. Reviewing the effect of fertilizer reduction on FFB production in commercial fields was challenging due to being confounded with many factors, including estate condition, infrastructure, climate, social, and management. Therefore it was better to assess from trials that tested the application of N, P, K, and Mg fertilizers with different rates to oil palm in a different locations on mineral soil in North Sumatra. Those trials illustrated that fertilizer discount would correct the FFB production accordingly from 3 up to 84%. In addition to this, climate, leaf nutrient uptake, and palm age play an important role in the decreasing FFB. An adequate water supply from the rainfall would stimulate a better leaf nutrient uptake and, therefore, palm more tolerant to fertilizer discounts. On the other hand, palm planted on the terraces, which are at a high risk of fertilizer leaching out and poor soil cation of subsoil, would be more sensitive to fertilizer discounts. Fertilizer discount, of course, would reduce the nutrient supply to the palm accordingly and consequently to FFB production for two to three years forward, therefore it was suggested to cut off the less response of specific nutrients only if possible.

CAN THE SMALL-SCALE PRODUCERS OF NAVEL ORANGE RESIST THE STABILITY OF THE FARM GATE PRICES AND THE SOAR OF THE INPUT PRICES WITHIN THE BIOPHYSICAL FACTORS?

Egypt Navel orange planted area reached about 174.6 thousand acres during the average period of 2012-2020. Delta governorates is the major orange’s productive region in Egypt with 97.4% of the total production of the country. 87.2% of orange’s planted area came from only five Delta governorates. The top planted area governorates are El Behera with an acreage area representing about (41.3%), followed by Qalyoubia (16.7%), Ismailia (11.1%), Menufia (9.54%) and Sharqiya (8.52%) of total planted areas during the period 2012-2020. El-Behera is the major Navel orange’s productive governorate in Egypt with (43.9%) of Egyptian total production of Navel orange, followed by Qalyoubia (18.8%), Menufia (9.2%), Ismailia (8.3) and Sharqiya (7.7%) of Navel orange total production during the period 2012-2020. In recent years, small scale farmers have experienced technical, environmental and economic problems. This study will shade light on the economic problems because fruit prices have come to a standstill or even decreased while the production costs have risen continuously. The present study depends on data collected from the private small farm planted with Washington Navel orange trees [Citrus sinensis L.(Osbeck)] since 1968, which is located in Minyat as Siba, Benha-Qalyoubia governorate, Egypt. The result shows that the average values of fertilizers, pests and diseases account for a large proportion of the total costs, representing about 42.57% and 26.47% respectively from the total production costs during 2012-2022. Prices received for Navel oranges fluctuate markedly from year to year. This combined with fluctuations in yields. Over the period 2012 to 2022 farm gate prices of Navel orange averaged 2905 Egyptian pound (LE) per ton, with the minimum of LE 1750 per ton in 2012 and the maximum of LE 4000 per ton in the 2019, 2020 and 2021.

Nilai Budaya Kearifan Lokal Tri Hita Karana Dalam Penentuan Harga Jual (Studi Etnometodologi Pada Pedagang Buah-Buahan Pasar Banyuasri

Abstract: The study of accounting practices in local wisdom is always interesting to research. Understanding that every activity requires accounting, based on a version that is appropriate to the culture and beliefs of the local community. Pricing is used as a bridge by sellers to achieve maximum material profits by keeping costs as low as possible. As a result, price wars are a familiar sight today. There is no longer any togetherness and brotherhood among the sellers from the sales activities carried out. The aim of this research is to reveal the cultural values of local wisdom contained in determining the selling price of fruit, which is implemented by Banyuasri Market traders based on the local wisdom values of Tri Hita Karana. Data analysis uses the hermeneutic analysis method of intentionalism. Based on the findings in this research, the reality of selling prices implemented by fruit traders at Banyuasri Market depicts a complete form of selling price and is based on the values of the Tri Hita Karana philosophy. The elements of material values (not wealth), the value of submission to the Creator, the value of environmental preservation, and the value of togetherness between fellow humans or traders are a unified whole that cannot be separated.

COMPARAÇÃO ENTRE A CONCENTRAÇÃO DE COMPOSTOS FENÓLICOS E FLAVONOIDES COM O PREÇO DE FRUTAS NATIVAS E EXÓTICAS DO NORDESTE BRASILEIRO

Brazilian flora has great diversity, and the fruit market represents an activity of great economic importance for the country. Ingestion of phenolic compounds, derived from fruits, is associated with various types of benefits, and pathological prevention. In this sense, the present study made the price survey and the literature review on the phenolic and flavonoids content in six native fruits (cashew, seriguela, umbu, juá, cajá and pitomba) and in eight exotic fruits (acerola, star fruit, coconut, breadfruit, soursop, custard apple, sapodilla, tamarind) to the Brazilian Northeast. The survey was based on the evaluation of prices published on digital platforms of Northeastern Food Centers and the concentrations of total phenols and flavonoids were obtained through literature review. No statistical difference was observed between the mean concentration values of total phenolic compounds and flavonoids in native and exotic fruits, but a difference close to R$ 2.00 was observed between the average price of native and exotic fruits, being natives the cheapest ones. Thus, native fruits are a source of lower cost and have the same nutritional value of flavonoids and total phenols of exotic fruits. However, there is a market and buyer preference for exotic fruits for production and taste reasons.

A Performance Evaluation of Two Hyperspectral Imaging Systems for the Prediction of Strawberries' Pomological Traits.

Pomological traits are the major factors determining the quality and price of fresh fruits. This research was aimed to investigate the feasibility of using two hyperspectral imaging (HSI) systems in the wavelength regions comprising visible to near infrared (VisNIR) (400-1000 nm) and short-wave infrared (SWIR) (935-1720 nm) for predicting four strawberry quality attributes (firmness-FF, total soluble solid content-TSS, titratable acidity-TA, and dry matter-DM). Prediction models were developed based on artificial neural networks (ANN). The entire strawberry VisNIR reflectance spectra resulted in accurate predictions of TSS (R2 = 0.959), DM (R2 = 0.947), and TA (R2 = 0.877), whereas good prediction was observed for FF (R2 = 0.808). As for models from the SWIR system, good correlations were found between each of the physicochemical indices and the spectral information (R2 = 0.924 for DM; R2 = 0.898 for TSS; R2 = 0.953 for TA; R2 = 0.820 for FF). Finally, data fusion demonstrated a higher ability to predict fruit internal quality (R2 = 0.942 for DM; R2 = 0. 981 for TSS; R2 = 0.976 for TA; R2 = 0.951 for FF). The results confirmed the potential of these two HSI systems as a rapid and nondestructive tool for evaluating fruit quality and enhancing the product's marketability.

Fostering empowerment and building capacities of rural women through community-based agroindustry: A case study in Donowarih Village, Indonesia

Donowarih village, located in Malang Regency, East Java, Indonesia, is closed to the Universitas Brawijaya’s Educational Forest (known as UB Forest). The village has various potential local commodities such as orange fruits and batik. During harvesting season, the price of orange fruits declined, and inadequate storage system has led to a rapid deterioration of orange fruits. Furthermore, various problems faced by the community, such as poverty and lack of knowledge/skills, are becoming the major challenges to be tackled. On the other hand, orange fruits and batik are potential to be diversified into high value-added products, which can be done through the introduction of post-harvesting technology and trainings for skills improvement. Furthermore, the Indonesian Government program of one village one product (OVOP) is becoming key drivers to any community engagement program in Indonesia.

Availability and price of fruits and vegetables in the surroundings of food and nutrition public establishments.

Inequalities of access to healthy food reinforce the need to strengthen public policies on Food and Nutritional Security. In this context, Food and Nutrition Public Establishments, which are public spaces for distribution and commercialization of healthy foods, stand out. However, in middle-income countries there is little monitoring of the impacts of public policies on food environments, which are fundamental for strengthening these actions. Thus, the purpose of the study was to evaluate the availability and price of fruits and vegetables in areas with and without Food and Nutrition Public Establishments. A cross-sectional study carried out in Belo Horizonte, Brazil. Audits were conducted in the retail food environment of a representative sample of Food and Nutrition Public Establishments (n = 10) and corresponding census sectors, without Food and Nutrition Public Establishments (n = 10). Information was collected on the availability and price of the most consumed fruits and vegetables in Belo Horizonte. The food retailers were grouped into fresh food retailers and mixed food retailers. The Chi-Square test was used to compare the availability of fruits and vegetables between areas. The Mann Whitney test was used to compare the prices of fruit and vegetables and the price differences between fresh food retailers and mixed food retailers between areas. 148 food retailers were audited, including 17 Food and Nutrition Public Establishments. In fresh food retailers, the availability of vegetables was higher in areas with Food and Nutrition Public Establishments (p = 0.024). In mixed food retailers there was low availability of fruit and vegetables in both areas (34.0% vs. 26.2%; p>0.05). The price difference between fresh food retailers and mixed food retailers differed significantly between areas (p<0.001). In general, fresh food retailers had lower prices than mixed food retailers only in areas with Food and Nutrition Public Establishments. The presence of Food and Nutrition Public Establishments was associated with the availability of vegetables, and with lower prices in fresh food retailers compared with mixed food retailers. Monitoring and understanding the impacts of public policies on the food environment are essential to register trends and provide relevant information to civil society and government authorities.

The effect of agricultural trade openness on fruit prices in Korea

This study investigates the effect of agricultural trade openness on fruit prices in South Korea considering the quality improvement originating from agricultural trade policies by examining the U‐shaped relationship between agricultural openness and fruit prices. Utilising the autoregressive distributed lag (ARDL) model and annual data from the period 1988–2019, we find that while an increase of agricultural openness leads to a reduction in fruit prices, an increase of square of agricultural openness leads to a rise of fruit prices in the long‐run. In other words, our hypothesis of a U‐shaped relationship between agricultural openness and fruit prices is satisfied. This finding implies that determining the optimal amount of high‐quality fruit is important for fruit farmers' income. Additionally, Korea should divide the fruit consumer price index (CPI) into high‐quality and traditional fruit to solve the problem of an increase in fruit CPI without an actual increase in the price of traditional fruit.

THE INFLUENCE OF CLIMATIC CONDITIONS ON PROFITABILITY OF APPLE PRODUCTION UNDER REPLANTATION CONDITIONS AND CROP ROTATION

The production of apples is conditioned by many environmental and economic factors, including the cultivated variety, the condition of the plants, the stress factors, demand, supply, costs incurred, prices of fruit and means of production. The aim of the study was to analyse the influence of climatic conditions on the profitability of production of apple trees of the Najdared cultivar. Between 2015 and 2017 an experiment was conducted on apple trees growing on replantation soil and on crop rotation soil in Wielkopolska Region. The analysis of climatic conditions indicated significant differences in air temperatures and precipitation in particular years. When analysing the profitability of the production of apples, it was found that significantly more favourable financial results are obtained on the soil after crop rotation compared to the production on replanted soil. Moreover, the decrease in the profitability of apple production of the trees grown on the replantation soil, especially during unfavourable weather conditions, was greater than the trees grown at the crop rotation soil. On the basis of the research, it was found that in the future, sustainable cultivation of apple trees should be carried out on sites after crop rotation.

Fostering empowerment and building capacities of rural women through community-based agroindustry: A case study in Donowarih Village, Indonesia

Donowarih village, located in Malang Regency, East Java, Indonesia, is closed to the Universitas Brawijaya’s Educational Forest (known as UB Forest). The village has various potential local commodities such as orange fruits and batik. During harvesting season, the price of orange fruits declined, and inadequate storage system has led to a rapid deterioration of orange fruits. Furthermore, various problems faced by the community, such as poverty and lack of knowledge/skills, are becoming the major challenges to be tackled. On the other hand, orange fruits and batik are potential to be diversified into high value-added products, which can be done through the introduction of post-harvesting technology and trainings for skills improvement. Furthermore, the Indonesian Government program of one village one product (OVOP) is becoming key drivers to any community engagement program in Indonesia.

Analysis of Consumer Preferences for Instant Mangosteen (Garcinia mangostana L.) Powder Drink in Bogor Regency and City

The peel of mangosteen (Garcinia mangostana L.) constitutes a larger proportion of the fruit in comparison to its flesh. The peel extract product manufactured by nutraceutical industries does not require using the fruit flesh. To increase the shelf life and value of the product, the development of a mangosteen powder drink can be carried out. Therefore, this research aims to determine the characterization of initial raw materials and factors influencing consumer preferences for instant mangosteen powder drink to improve the acceptance of the product. The data collected were analyzed through descriptive statistics and the chi-square test. Furthermore, the chi-square test showed that demographic regions affected mangosteen fruit price, the level of preferences for the powder drink, consumption time, as well as feelings and interests of potential customers. The results of the Total Plate Count (TPC), Total Yeast and Mold Count (TYMC), and coliform microbiological test conducted on mangosteen purée raw materials met the quality requirements established by National Standardization Body (NSB) for fruit purées.

Long-term effects of rootstock and tree type on the economic profitability of ‘Gala’, ‘Fuji’ and ‘Honeycrisp’ orchards performance

Planting a new orchard requires a complex management strategy that involves many factors including cultivar, rootstock, planting density, training system, tree type, climate, and economic conditions that affect orchard profitability. To evaluate the relative importance of each factor, data from long-term field studies is required to analyze their impact on lifetime profitability. Here, we conducted two long-term field studies at two locations in New York State (Dressel farm in South-eastern and VandeWalle farm in Western New York State). The trials were planted in 2006 at a planting density of 3,262 tree/ha and the trees were trained as Tall Spindles. The aim of this study was to compare the impact of tree type (newly bench-grafted trees and large 2-year feathered trees) and rootstock (B.9, M.9, G.11, G.16, G.41) on long-term profitability of three apple cultivars (‘Fuji’, ‘Gala’, and ‘Honeycrisp’). There were important differences in profitability between cultivars, with a higher Net Present Value (NPV) for ‘Honeycrisp’, followed by ‘Gala’ and, finally, for ‘Fuji’. For all the cultivars, the NPV of the feathered trees was substantially higher compared to bench-grafted trees. Furthermore, the highest cumulative NPV's for ‘Honeycrisp’ were on B.9, G.11 and G.16, whereas with ‘Fuji’ the highest NPV's were on G.16, G.11 and M.9 and with ‘Gala’ the highest NPV's were on G.16, G.41 and M.9. The break-even year of a positive NPV for each rootstock, tree type, and cultivar, showed that the fastest investment pay offs were achieved with ‘Honeycrisp’, followed by ‘Gala’ and ‘Fuji’. Feathered trees showed a faster break-even year of a positive NPV compared to bench grafted trees in all cultivars. Our results showed that the key variables that influence orchard profitability were, in descending order, fruit price and yield, followed by discount rate, labor cost, and finally tree price and land cost.

Biodiversity of edible fruit sold at Pasar Gede, Surakarta City, Central Java, Indonesia

Abstract. Sagitarian DGF, Astikasari L, Rahmayani D, Armando MF, Nugroho GD, Himawan W, Mutaqin AZ, Md. Naim D, Setyawan AD. 2023. Biodiversity of edible fruit sold at Pasar Gede, Surakarta City, Central Java, Indonesia. Asian J Agric 7: 57-68. The market is a place to purchase numerous varieties of goods. Pasar Gede is a traditional Indonesian marketplace in Surakarta City, Central Java, Indonesia. It is the earliest and the largest fruit market in Surakarta. This study was conducted to ascertain the variety species of fruits sold at Pasar Gede from 12 to 16 December 2022. Direct interviews with Pasar Gede administrators and sellers conducted the sampling. This study uses primary data from interviews and secondary data from literature studies to support the primary data, while descriptive analysis was performed on the collected data. The results revealed that the fruit sold at Pasar Gede comprised 82 species from 25 families, with information on local name, price, seasonality, rarity according to vendors, and conservation status according to the IUCN Red List. In Pasar Gede, fruits with conservation status Least Concern (LC) based on the IUCN Red List were found, namely juwet (Syzygium cumini (L.) Skeels), matoa (Pometia pinnata J.R.Forst. &amp; G.Forst.), jambu biji (Psidium guajava L.), pir packham (Pyrus communis L.), srikaya (Annona squamosa L.), jeruk bali (Citrus maxima (Burm.) Merr.), delima arab (Punica granatum L.), sirsak (Annona muricata L.), sawo (Manilkara zapota (L.) P.Royen), asam jawa (Tamarindus indica L.) and kesemek (Diospyros kaki L.f.). Jeruk (Citrus sp.), apel/pir (Pyrus sp.), pisang (Musa sp.), mangga (Mangifera sp.), and alpukat (Persea sp.) are the dominant fruits (the most available and frequently sold by every vendor in his stall) in Pasar Gede. Anggur autum (Vitis vinifera L. cv. autumn) are the most expensive products at 180,000 IDR per kilogram, while jambu biji is the least expensive at 8,000 IDR per kilogram. The production cost, seasonality, and fruit quality determine whether fruit prices are costly. The abundance of fruit indicates that Pasar Gede is a comprehensive fruit market center in Indonesia, particularly in Surakarta.