K. Kusnandar, M. Harisudin, E. W. Riptanti, I. Khomah, N. Setyowati, R. A. Qonita
Abstract This research aimed to formulate priority strategies for adopting Internet of Things (IoT)-based innovation by millennial farmers in Central Java Province, Indonesia. This research uses quantitative methods. The two stages involved were exploring external factors using a political, economic, social, and technological approach and internal factors using the resource-based view approach including human resources, physical resources, and organizational resources. Interviews were conducted with 120 millennial farmers in ten regions of Central Java. This led to the formulation of alternative adoption strategies. Furthermore, the second stage was formulating strategic priorities using the analytical network process approach, involving purposively selected experts from policymakers in the government. According to the research, the most considered factors for IoT adoption strategies were relative advantage, social influence, and technology anxiety. In the relative advantage, the most prioritized sub-factor was business profit. The most prioritized technology anxiety sub-factor cluster was unfamiliar with using IoT. The most prioritized social influence sub-factor cluster was a personal relationship. The resulting strategic priorities were strengthening openness to change, IoT education to millennial farmers, optimizing the role of institutions, and socializing the benefits of IoT to millennial farmers. Openness to change motivates millennial farmers to achieve continuous and better innovation. Millennial farmers need to be prepared for the new experiences to come. Government support through education, intensive mentoring, and increasing the active role of farmer mentoring institutions accelerates the adoption of IoT by millennial farmers.
{"title":"Prioritizing IoT adoption strategies in millennial farming: An analytical network process approach","authors":"K. Kusnandar, M. Harisudin, E. W. Riptanti, I. Khomah, N. Setyowati, R. A. Qonita","doi":"10.1515/opag-2022-0179","DOIUrl":"https://doi.org/10.1515/opag-2022-0179","url":null,"abstract":"Abstract This research aimed to formulate priority strategies for adopting Internet of Things (IoT)-based innovation by millennial farmers in Central Java Province, Indonesia. This research uses quantitative methods. The two stages involved were exploring external factors using a political, economic, social, and technological approach and internal factors using the resource-based view approach including human resources, physical resources, and organizational resources. Interviews were conducted with 120 millennial farmers in ten regions of Central Java. This led to the formulation of alternative adoption strategies. Furthermore, the second stage was formulating strategic priorities using the analytical network process approach, involving purposively selected experts from policymakers in the government. According to the research, the most considered factors for IoT adoption strategies were relative advantage, social influence, and technology anxiety. In the relative advantage, the most prioritized sub-factor was business profit. The most prioritized technology anxiety sub-factor cluster was unfamiliar with using IoT. The most prioritized social influence sub-factor cluster was a personal relationship. The resulting strategic priorities were strengthening openness to change, IoT education to millennial farmers, optimizing the role of institutions, and socializing the benefits of IoT to millennial farmers. Openness to change motivates millennial farmers to achieve continuous and better innovation. Millennial farmers need to be prepared for the new experiences to come. Government support through education, intensive mentoring, and increasing the active role of farmer mentoring institutions accelerates the adoption of IoT by millennial farmers.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42422149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Recently, capacity building has been named the government’s target in evaluating strengthening land function cycle collaboration in reducing disaster conflicts due to palm oil expansion. Disaster conflicts over palm oil plantations are the main cause of the fundamental transition of environmental culture and customs, especially concerning the welfare capacity of indigenous people in Jambi Province, Indonesia. This article aims to combine information on decision hierarchies and Geographical Information System (GIS) imaging applications to assess complaints of disaster risk in the development of palm oil clusters on indigenous welfare factors due to the palm oil boom in eight Rokan hamlets, Jambi. The combination of the Analytical Hierarchy Process simulation and GIS method in the GeoDa density test is used synergistically to analyze the following criteria for disaster causes: land disputes, water pollution, habitat scarcity, drought/forest fires, floods, and crop failure. The results of the disaster hierarchy show that the priority criteria are land disputes followed by drought/forest fires and floods. Meanwhile, the answer to alternative stakeholder decisions is the regional government according to predictions from the findings of the frequency of resolution of conflicts that have occurred in the past. In addition, the GIS density results detected six Rokan hamlets in Jambi having very high and high conflicts, but two hamlets had no disaster conflict incidents. A capacity building approach in the social, economic, and environmental fields is one of the solutions in minimizing land conflicts caused by palm oil expansion.
{"title":"Palm oil cluster resilience to enhance indigenous welfare by innovative ability to address land conflicts: Evidence of disaster hierarchy","authors":"H. Herdiansyah, Randi Mamola, R. Rokhim","doi":"10.1515/opag-2022-0206","DOIUrl":"https://doi.org/10.1515/opag-2022-0206","url":null,"abstract":"Abstract Recently, capacity building has been named the government’s target in evaluating strengthening land function cycle collaboration in reducing disaster conflicts due to palm oil expansion. Disaster conflicts over palm oil plantations are the main cause of the fundamental transition of environmental culture and customs, especially concerning the welfare capacity of indigenous people in Jambi Province, Indonesia. This article aims to combine information on decision hierarchies and Geographical Information System (GIS) imaging applications to assess complaints of disaster risk in the development of palm oil clusters on indigenous welfare factors due to the palm oil boom in eight Rokan hamlets, Jambi. The combination of the Analytical Hierarchy Process simulation and GIS method in the GeoDa density test is used synergistically to analyze the following criteria for disaster causes: land disputes, water pollution, habitat scarcity, drought/forest fires, floods, and crop failure. The results of the disaster hierarchy show that the priority criteria are land disputes followed by drought/forest fires and floods. Meanwhile, the answer to alternative stakeholder decisions is the regional government according to predictions from the findings of the frequency of resolution of conflicts that have occurred in the past. In addition, the GIS density results detected six Rokan hamlets in Jambi having very high and high conflicts, but two hamlets had no disaster conflict incidents. A capacity building approach in the social, economic, and environmental fields is one of the solutions in minimizing land conflicts caused by palm oil expansion.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43850074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This study was aimed (1) to analyze the productivity, cost, and income of potato farming; (2) to analyze the risk of potato farming; and (3) to analyze the potato trade system at the level before and during COVID-19 pandemic. This study used a descriptive-quantitative research type. It was conducted in Banjarnegara Regency, Jawa Tengah Province, Indonesia. The data were collected through surveys, observations, and Focus Group Discussions. The unit of analysis is the farmers who plant potatoes. Data analysis was done descriptively. The results showed that there is no difference between the two marketing channels before and during pandemic. There are two channels of the trading system, namely farmer–collector–traders–wholesaler–exporter partners and farmer–collector–traders–wholesalers–retailers. However, the trading model maximizes the Agribusiness Sub Terminal (AST) as a potato trading agent that can provide direct price information, attract traders, and facilitate transactions and trading contacts. The trading model allows potato trading agents to provide direct price information, attract traders, and facilitate transactions and trading contacts. The implication of this study is to anticipate productivity risk and potato farming income risk through the AST function. This study contributes to the condition of farming before and during COVID-19 pandemic by comparing differences in productivity, costs, income, productivity risk, and income risk as well as the potato grading model.
{"title":"The impact of COVID-19 pandemic on business risks and potato commercial model","authors":"Pujiharto Pujiharto, S. Wahyuni","doi":"10.1515/opag-2022-0158","DOIUrl":"https://doi.org/10.1515/opag-2022-0158","url":null,"abstract":"Abstract This study was aimed (1) to analyze the productivity, cost, and income of potato farming; (2) to analyze the risk of potato farming; and (3) to analyze the potato trade system at the level before and during COVID-19 pandemic. This study used a descriptive-quantitative research type. It was conducted in Banjarnegara Regency, Jawa Tengah Province, Indonesia. The data were collected through surveys, observations, and Focus Group Discussions. The unit of analysis is the farmers who plant potatoes. Data analysis was done descriptively. The results showed that there is no difference between the two marketing channels before and during pandemic. There are two channels of the trading system, namely farmer–collector–traders–wholesaler–exporter partners and farmer–collector–traders–wholesalers–retailers. However, the trading model maximizes the Agribusiness Sub Terminal (AST) as a potato trading agent that can provide direct price information, attract traders, and facilitate transactions and trading contacts. The trading model allows potato trading agents to provide direct price information, attract traders, and facilitate transactions and trading contacts. The implication of this study is to anticipate productivity risk and potato farming income risk through the AST function. This study contributes to the condition of farming before and during COVID-19 pandemic by comparing differences in productivity, costs, income, productivity risk, and income risk as well as the potato grading model.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41959069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sanudin, E. Fauziyah, T. S. Widyaningsih, A. H. Harianja, A. Widiyanto
Abstract Sustainable peatland management needs collaboration among many actors. This study portrayed the role of actors in managing peatland in Kubu Raya Regency, West Kalimantan, based on their interests and influence factors. We employ the purposive sampling method to select 13 actors to represent their institutions to assess their organization’s level of interest and influence in peatland management. The results indicated four existing groups categorized as key players, context setter, subject, and crowd. The key player group has the primary role in program planning and implementation of the Forest Management Unit of Kubu Raya, Wetland Ecosystem Management Unit, Regional Development Planning Agency, and Agriculture Service of Kubu Raya Regency. The subject group supports peatland management programs in the implementation and supervision role, which consists of forest concessionaire (PT Ekosistem Khatulistiwa Lestari) and communities. The context setter group has roles in regional planning, regional supervision, and monitoring of fire hazards, including Production Forest Management Institute in Pontianak, Fire Brigade, and Regional Forest Area Designation Agency III in Pontianak. The last stakeholder is the extension worker categorized in the crowd group, which empowers and assists the community in managing peatland. Avoiding conflicts of interest and promoting collaborative actions are essential factors needed to ensure sustainable peatland management.
摘要可持续泥炭地管理需要许多行动者之间的合作。本研究基于参与者的利益和影响因素，描绘了他们在西加里曼丹Kubu Raya Regency泥炭地管理中的角色。我们采用有目的的抽样方法，选择13名参与者代表其机构，以评估其组织对泥炭地管理的兴趣和影响力。研究结果表明，现有的四个群体被分为关键参与者、情境设定者、主体和人群。关键参与者群体在Kubu Raya森林管理部门、湿地生态系统管理部门、区域发展规划机构和Kubu Ray亚县农业服务局的项目规划和实施中发挥着主要作用。主题小组支持泥炭地管理项目的实施和监督，该项目由森林特许经营公司（PT Ekositem Khatulistiwa Lestari）和社区组成。背景设定小组在区域规划、区域监督和火灾隐患监测中发挥作用，包括蓬蒂亚纳克的生产森林管理研究所、消防队和蓬蒂亚纳克第三区域林区指定机构。最后一个利益相关者是人群小组中的推广工作者，该小组授权并协助社区管理泥炭地。避免利益冲突和促进合作行动是确保泥炭地可持续管理所需的基本因素。
{"title":"Role of actors in promoting sustainable peatland management in Kubu Raya Regency, West Kalimantan, Indonesia","authors":"Sanudin, E. Fauziyah, T. S. Widyaningsih, A. H. Harianja, A. Widiyanto","doi":"10.1515/opag-2022-0198","DOIUrl":"https://doi.org/10.1515/opag-2022-0198","url":null,"abstract":"Abstract Sustainable peatland management needs collaboration among many actors. This study portrayed the role of actors in managing peatland in Kubu Raya Regency, West Kalimantan, based on their interests and influence factors. We employ the purposive sampling method to select 13 actors to represent their institutions to assess their organization’s level of interest and influence in peatland management. The results indicated four existing groups categorized as key players, context setter, subject, and crowd. The key player group has the primary role in program planning and implementation of the Forest Management Unit of Kubu Raya, Wetland Ecosystem Management Unit, Regional Development Planning Agency, and Agriculture Service of Kubu Raya Regency. The subject group supports peatland management programs in the implementation and supervision role, which consists of forest concessionaire (PT Ekosistem Khatulistiwa Lestari) and communities. The context setter group has roles in regional planning, regional supervision, and monitoring of fire hazards, including Production Forest Management Institute in Pontianak, Fire Brigade, and Regional Forest Area Designation Agency III in Pontianak. The last stakeholder is the extension worker categorized in the crowd group, which empowers and assists the community in managing peatland. Avoiding conflicts of interest and promoting collaborative actions are essential factors needed to ensure sustainable peatland management.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44296478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract One of the challenges of the modern world is to improve human nutrition and to safely increase the yield of agricultural production using existing agricultural land. It is clear that sufficient agricultural efficiency cannot be achieved without fertilizers, but fertilizers must cause minimal damage to the soil. Microorganisms, such as spore-forming bacteria, actinomycetes, fungi, algae, and protozoa play an important role in the soil and keep soil healthy. One of the soil substances involved in reactions that take place in plants is cellulose. This study investigated the effect of potassium dihydrogen phosphate (PDP), synthesized (via conversion between potassium chloride and ammonium dihydrophosphate) and granulated with the addition of microcrystalline cellulose (MC), on plants (winter wheat Toras, Lithuania) and soil microorganisms. The data of plants fertilized with pure KH2PO4, ones fertilized with PDP granulated with MC, and grown without fertilizers were compared in this study. Scanning electron microscopy and differential scanning calorimetry analysis were used to characterize the obtained product. One-way analysis of variance was used to evaluate the differences of the mean values between groups. In all cases, the significance level was p ≤ 0.05. The effect of pure KH2PO4 on plant indicators was found to be lower than that of granular PDP with MC. The length of the leaves was 29.63 and 31.20 cm, green mass was 0.471 and 0.763 g, ash mass was 0.015 and 0.019 g, respectively. In addition, granular PDP with MC did not adversely affect the soil microorganisms because the number of any species of bacteria (Spore b., mineral nitrogen assimilating bacteria, cellulose degrading bacteria) did not decrease and a slight increase in the number of Actinomycetes (from 8.5 × 105 to 2.9 × 106 KSV/g) and molds (from 3.0 × 104 to 1.4 × 105 KSV/g) was observed. The granular PDP with MC that we developed and used have better physical properties, higher agrochemical efficiency and cause less harm to soil microorganisms compared to pure PDP.
{"title":"Properties of potassium dihydrogen phosphate and its effects on plants and soil","authors":"K. Jančaitienė, R. Šlinkšienė, R. Žvirdauskienė","doi":"10.1515/opag-2022-0167","DOIUrl":"https://doi.org/10.1515/opag-2022-0167","url":null,"abstract":"Abstract One of the challenges of the modern world is to improve human nutrition and to safely increase the yield of agricultural production using existing agricultural land. It is clear that sufficient agricultural efficiency cannot be achieved without fertilizers, but fertilizers must cause minimal damage to the soil. Microorganisms, such as spore-forming bacteria, actinomycetes, fungi, algae, and protozoa play an important role in the soil and keep soil healthy. One of the soil substances involved in reactions that take place in plants is cellulose. This study investigated the effect of potassium dihydrogen phosphate (PDP), synthesized (via conversion between potassium chloride and ammonium dihydrophosphate) and granulated with the addition of microcrystalline cellulose (MC), on plants (winter wheat Toras, Lithuania) and soil microorganisms. The data of plants fertilized with pure KH2PO4, ones fertilized with PDP granulated with MC, and grown without fertilizers were compared in this study. Scanning electron microscopy and differential scanning calorimetry analysis were used to characterize the obtained product. One-way analysis of variance was used to evaluate the differences of the mean values between groups. In all cases, the significance level was p ≤ 0.05. The effect of pure KH2PO4 on plant indicators was found to be lower than that of granular PDP with MC. The length of the leaves was 29.63 and 31.20 cm, green mass was 0.471 and 0.763 g, ash mass was 0.015 and 0.019 g, respectively. In addition, granular PDP with MC did not adversely affect the soil microorganisms because the number of any species of bacteria (Spore b., mineral nitrogen assimilating bacteria, cellulose degrading bacteria) did not decrease and a slight increase in the number of Actinomycetes (from 8.5 × 105 to 2.9 × 106 KSV/g) and molds (from 3.0 × 104 to 1.4 × 105 KSV/g) was observed. The granular PDP with MC that we developed and used have better physical properties, higher agrochemical efficiency and cause less harm to soil microorganisms compared to pure PDP.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45238091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Gugliuzza, C. Gentile, D. Scuderi, E. Palazzolo, V. Farina
Abstract High salt concentration is one of the main factors that affects plants’ growth, especially in urban areas. Many Mediterranean sclerophyllous species manifest high resistance to salt, although few information exists in the literature on Quercus ilex. The aim of this work was to evaluate the response of Q. ilex seedlings to salt stress conditions generated by an increasing concentration of sodium chloride on water supply irrigation. A 2-year experiment was conducted by using salt water at different concentrations (first year 50–100–200 and second year 75–150–300 mM NaCl). At increasing salt concentration, a plant growth reduction was registered in both years. Until 200 mM NaCl, the plants grew and did not show any visible damage on the leaves, while at 300 mM NaCl, all the plants died. Also, the photosynthetic rate decreased at increasing salt concentration. Sodium was accumulated in the plant parts and this accumulation occurred at the expense of potassium uptake.
摘要高盐浓度是影响植物生长的主要因素之一，尤其是在城市地区。许多地中海硬叶栎属物种表现出很高的耐盐性，尽管文献中关于冬青栎的信息很少。这项工作的目的是评估冬青幼苗对供水灌溉中氯化钠浓度增加所产生的盐胁迫条件的反应。通过使用不同浓度的盐水进行为期2年的实验（第一年50–100–200，第二年75–150–300 mM NaCl）。随着盐浓度的增加，这两年的植物生长都有所减少。直到200 mM NaCl，植物生长并且在叶片上没有显示出任何可见的损伤，而在300 mM NaCl，所有植物死亡。此外，光合速率随着盐浓度的增加而降低。钠在植物部分积累，这种积累是以钾吸收为代价的。
{"title":"Effects of salt stress on growth of Quercus ilex L. seedlings","authors":"G. Gugliuzza, C. Gentile, D. Scuderi, E. Palazzolo, V. Farina","doi":"10.1515/opag-2022-0211","DOIUrl":"https://doi.org/10.1515/opag-2022-0211","url":null,"abstract":"Abstract High salt concentration is one of the main factors that affects plants’ growth, especially in urban areas. Many Mediterranean sclerophyllous species manifest high resistance to salt, although few information exists in the literature on Quercus ilex. The aim of this work was to evaluate the response of Q. ilex seedlings to salt stress conditions generated by an increasing concentration of sodium chloride on water supply irrigation. A 2-year experiment was conducted by using salt water at different concentrations (first year 50–100–200 and second year 75–150–300 mM NaCl). At increasing salt concentration, a plant growth reduction was registered in both years. Until 200 mM NaCl, the plants grew and did not show any visible damage on the leaves, while at 300 mM NaCl, all the plants died. Also, the photosynthetic rate decreased at increasing salt concentration. Sodium was accumulated in the plant parts and this accumulation occurred at the expense of potassium uptake.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46502669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Machine-learning methodologies are part of the artificial intelligence approaches with several applications in different fields of science and dimensions of human life. These techniques appear in the frameworks of the digital transition, where smart technologies bring relevant contributions, such as improving the efficiency of the economic sectors. This is particularly important for sectors such as agriculture to deal with the challenges created in the context of climate changes. On the other hand, machine-learning approaches are not easy to implement, considering the complexity of the algorithms associated. Taking this into account, the main objective of this research is to present a model to predict fertiliser costs in the European Union (EU) farms through artificial neural network analysis. This assessment may provide relevant information for farmers and policymakers in the current scenario where the concerns are to identify strategies to mitigate the environmental impacts, including those from the agricultural sector and the respective use of chemical resources. To achieve these objectives, statistical information for the EU agricultural regions from the Farm Accountancy Data Network was considered for the period 2018–2020. The findings obtained show relative errors between 0.040 and 0.074 (showing good accuracy) and the importance of the total utilised agricultural area and the total output to predict the fertiliser costs.
{"title":"Fertiliser cost prediction in European Union farms: Machine-learning approaches through artificial neural networks","authors":"V. Martinho","doi":"10.1515/opag-2022-0191","DOIUrl":"https://doi.org/10.1515/opag-2022-0191","url":null,"abstract":"Abstract Machine-learning methodologies are part of the artificial intelligence approaches with several applications in different fields of science and dimensions of human life. These techniques appear in the frameworks of the digital transition, where smart technologies bring relevant contributions, such as improving the efficiency of the economic sectors. This is particularly important for sectors such as agriculture to deal with the challenges created in the context of climate changes. On the other hand, machine-learning approaches are not easy to implement, considering the complexity of the algorithms associated. Taking this into account, the main objective of this research is to present a model to predict fertiliser costs in the European Union (EU) farms through artificial neural network analysis. This assessment may provide relevant information for farmers and policymakers in the current scenario where the concerns are to identify strategies to mitigate the environmental impacts, including those from the agricultural sector and the respective use of chemical resources. To achieve these objectives, statistical information for the EU agricultural regions from the Farm Accountancy Data Network was considered for the period 2018–2020. The findings obtained show relative errors between 0.040 and 0.074 (showing good accuracy) and the importance of the total utilised agricultural area and the total output to predict the fertiliser costs.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47396528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tran Van Dung, Le Van Dang, Ngo Phuong Ngoc, N. N. Hung
Abstract Exchangeable cations and soil nutrients leach out/lost in the raised bed soils system through irrigation water and rainwater. Cover crops or crop residue mulching are considered sustainable agricultural measures because they prevent soil degradation and compaction and increase the soil ecological diversity. However, the impact of these on soil quality in fruit orchards in the Vietnamese Mekong Delta is not well studied. The present work aimed to assess the effect of cover crops (grass, pinto peanut) and rice straw mulching on change in soil chemical properties and productivity of pomelo. The 3-year (2019–2021) field experiment was conducted at Phu Huu Commune, Chau Thanh District, Hau Giang Province, Vietnam. Four treatments, control (no-cover crop), grass cover crop, mulching with rice straw (MRS), and pinto peanut cover crop were used. Soil samples were collected from the depth of 0–20 and 20–40 cm for analyzing soil pH, total nitrogen (TN), total phosphorus (TP), available phosphorus (AP), and soil organic matter (SOM). Results showed that MRS or cover crop by pinto peanut significantly decreased soil acidity in the topsoil layer. Soil fertility properties (TN, TP, AP, and SOM) at the depth 0–20 cm were greatly improved after the application of the mulched rice straw and cover crop by legume, thus improving pomelo yield. Further study is required to understand the effects of the cover crop with pinto peanut and rice straw mulching on the physical and biological properties of soil as well as nutrient uptake of pomelo orchards.
{"title":"Soil fertility and pomelo yield influenced by soil conservation practices","authors":"Tran Van Dung, Le Van Dang, Ngo Phuong Ngoc, N. N. Hung","doi":"10.1515/opag-2022-0181","DOIUrl":"https://doi.org/10.1515/opag-2022-0181","url":null,"abstract":"Abstract Exchangeable cations and soil nutrients leach out/lost in the raised bed soils system through irrigation water and rainwater. Cover crops or crop residue mulching are considered sustainable agricultural measures because they prevent soil degradation and compaction and increase the soil ecological diversity. However, the impact of these on soil quality in fruit orchards in the Vietnamese Mekong Delta is not well studied. The present work aimed to assess the effect of cover crops (grass, pinto peanut) and rice straw mulching on change in soil chemical properties and productivity of pomelo. The 3-year (2019–2021) field experiment was conducted at Phu Huu Commune, Chau Thanh District, Hau Giang Province, Vietnam. Four treatments, control (no-cover crop), grass cover crop, mulching with rice straw (MRS), and pinto peanut cover crop were used. Soil samples were collected from the depth of 0–20 and 20–40 cm for analyzing soil pH, total nitrogen (TN), total phosphorus (TP), available phosphorus (AP), and soil organic matter (SOM). Results showed that MRS or cover crop by pinto peanut significantly decreased soil acidity in the topsoil layer. Soil fertility properties (TN, TP, AP, and SOM) at the depth 0–20 cm were greatly improved after the application of the mulched rice straw and cover crop by legume, thus improving pomelo yield. Further study is required to understand the effects of the cover crop with pinto peanut and rice straw mulching on the physical and biological properties of soil as well as nutrient uptake of pomelo orchards.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":"8 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67231815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Increased concerns for sustainable agriculture have led to increased use of beneficial rhizobacteria as biofertilizers. Soil bacteria play a significant role in the nutrient cycle of soil, but their presence can be affected by abiotic stress, such as salinity. This study aimed to compare the chemical characteristics of slightly saline and non-saline rice soil and examine the bacterial community structure in both rhizosphere and bulk soil. We utilized 16SrRNA gene sequencing and performed arithmetic means clustering, a type of hierarchical clustering, on the samples collected from the rice fields of Cimrutu and Rawaapu Village in Cilacap Regency, Indonesia. Although the nutrient content was similar in both soils, there was a noticeable difference in their electrical conductivity (EC) despite the two locations being less than 4 km apart. The EC value in the Cimrutu soil suggests that it is non-saline, while the Rawaapu soil exhibits a low salinity level. The study found that Proteobacteria was the most prevalent phylum in saline rhizospheric soil. In contrast, Firmicutes was the most abundant group in saline bulk soil and non-saline rhizospheric and bulk soil. Additionally, Halothiobacillus, Thioalkalispira-Slvurivermis, and Acidothermus genera dominated the saline rhizospheric soil, suggesting that halotolerant microbes play a significant role as plant growth-promoting rhizobacteria in saline soil. The study provides valuable insights into cultured or uncultured bacterial populations and structure in saline and non-saline soil to develop future strategies related to salinity by introducing beneficial microbes.
{"title":"Diversity and structure of bacterial communities in saline and non-saline rice fields in Cilacap Regency, Indonesia","authors":"Reginawanti Hindersah, Etty Pratiwi, Yuli Siti Fatma, Tualar Simarmata","doi":"10.1515/opag-2022-0225","DOIUrl":"https://doi.org/10.1515/opag-2022-0225","url":null,"abstract":"Abstract Increased concerns for sustainable agriculture have led to increased use of beneficial rhizobacteria as biofertilizers. Soil bacteria play a significant role in the nutrient cycle of soil, but their presence can be affected by abiotic stress, such as salinity. This study aimed to compare the chemical characteristics of slightly saline and non-saline rice soil and examine the bacterial community structure in both rhizosphere and bulk soil. We utilized 16SrRNA gene sequencing and performed arithmetic means clustering, a type of hierarchical clustering, on the samples collected from the rice fields of Cimrutu and Rawaapu Village in Cilacap Regency, Indonesia. Although the nutrient content was similar in both soils, there was a noticeable difference in their electrical conductivity (EC) despite the two locations being less than 4 km apart. The EC value in the Cimrutu soil suggests that it is non-saline, while the Rawaapu soil exhibits a low salinity level. The study found that Proteobacteria was the most prevalent phylum in saline rhizospheric soil. In contrast, Firmicutes was the most abundant group in saline bulk soil and non-saline rhizospheric and bulk soil. Additionally, Halothiobacillus, Thioalkalispira-Slvurivermis, and Acidothermus genera dominated the saline rhizospheric soil, suggesting that halotolerant microbes play a significant role as plant growth-promoting rhizobacteria in saline soil. The study provides valuable insights into cultured or uncultured bacterial populations and structure in saline and non-saline soil to develop future strategies related to salinity by introducing beneficial microbes.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135802003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Jamil, Muhammad Saleh S. Ali, Imam Mujahidin Fahmid, Darmawan Salman, Rahmadanih Rahmadanih
Abstract This study aims to examine the dynamics of subsidized fertilizer management in rice production areas in Sidrap and Wajo districts, South Sulawesi province. Using a case study approach with qualitative analysis, the study combined primary data from in-depth interviews and secondary data derived from various studies and reports from government organizations. The results show that there is a considerable gap between the government’s fertilizer budget and farmers’ actual needs, leading to coverage of only 37%, thus forcing farmers to purchase more expensive non-subsidized fertilizers. The inefficient distribution system results in delays and scarcity. As a result, there will be market and price dualism between subsidized and non-subsidized markets, as well as subsidized and non-subsidized prices. Enforcement of pricing regulations faces hurdles due to the black market. In addition, farmers use the “foster father” system to obtain credit. To improve fertilizer management, the study recommends a multifaceted approach: increased budget allocation, efficient distribution, strong enforcement of pricing regulations, and innovative financing solutions such as the Tani Card. These strategies, along with improved inter-agency coordination, aim to address challenges and increase the effectiveness of subsidized fertilizer policies.
{"title":"Subsidized fertilizer management in the rice production centers of South Sulawesi, Indonesia: Bridging the gap between policy and practice","authors":"Ali Jamil, Muhammad Saleh S. Ali, Imam Mujahidin Fahmid, Darmawan Salman, Rahmadanih Rahmadanih","doi":"10.1515/opag-2022-0233","DOIUrl":"https://doi.org/10.1515/opag-2022-0233","url":null,"abstract":"Abstract This study aims to examine the dynamics of subsidized fertilizer management in rice production areas in Sidrap and Wajo districts, South Sulawesi province. Using a case study approach with qualitative analysis, the study combined primary data from in-depth interviews and secondary data derived from various studies and reports from government organizations. The results show that there is a considerable gap between the government’s fertilizer budget and farmers’ actual needs, leading to coverage of only 37%, thus forcing farmers to purchase more expensive non-subsidized fertilizers. The inefficient distribution system results in delays and scarcity. As a result, there will be market and price dualism between subsidized and non-subsidized markets, as well as subsidized and non-subsidized prices. Enforcement of pricing regulations faces hurdles due to the black market. In addition, farmers use the “foster father” system to obtain credit. To improve fertilizer management, the study recommends a multifaceted approach: increased budget allocation, efficient distribution, strong enforcement of pricing regulations, and innovative financing solutions such as the Tani Card. These strategies, along with improved inter-agency coordination, aim to address challenges and increase the effectiveness of subsidized fertilizer policies.","PeriodicalId":45740,"journal":{"name":"Open Agriculture","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135662015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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