Pub Date : 2024-07-22DOI: 10.3389/fsufs.2024.1363744
Juan Fernando Casanova Olaya, Juan Carlos Corrales
Climate change and weather variability pose significant challenges to small-scale crop production systems, increasing the frequency and intensity of extreme weather events. In this context, data modeling becomes a crucial tool for risk management and promotes producer resilience during losses caused by adverse weather events, particularly within agricultural insurance. However, data modeling requires access to available data representing production system conditions and external risk factors. One of the main problems in the agricultural sector, especially in small-scale farming, is data scarcity, which acts as a barrier to effectively addressing these issues. Data scarcity limits understanding the local-level impacts of climate change and the design of adaptation or mitigation strategies to manage adverse events, directly impacting production system productivity. Integrating knowledge into data modeling is a proposed strategy to address the issue of data scarcity. However, despite different mechanisms for knowledge representation, a methodological framework to integrate knowledge into data modeling is lacking.This paper proposes developing a methodological framework (MF) to guide the characterization, extraction, representation, and integration of knowledge into data modeling, supporting the application of data solutions for small farmers. The development of the MF encompasses three phases. The first phase involves identifying the information underlying the MF. To achieve this, elements such as the type of knowledge managed in agriculture, data structure types, knowledge extraction methods, and knowledge representation methods were identified using the systematic review framework proposed by Kitchemhan, considering their limitations and the tools employed. In the second phase of MF construction, the gathered information was utilized to design the process modeling of the MF using the Business Process Model and Notation (BPMN).Finally, in the third phase of MF development, an evaluation was conducted using the expert weighting method.As a result, it was possible to theoretically verify that the proposed MF facilitates the integration of knowledge into data models. The MF serves as a foundation for establishing adaptation and mitigation strategies against adverse events stemming from climate variability and change in small-scale production systems, especially under conditions of data scarcity.The developed MF provides a structured approach to managing data scarcity in small-scale farming by effectively integrating knowledge into data modeling processes. This integration enhances the capacity to design and implement robust adaptation and mitigation strategies, thereby improving the resilience and productivity of small-scale crop production systems in the face of climate variability and change. Future research could focus on the practical application of this MF and its impact on small-scale farming practices, further validating its effectiveness and s
{"title":"A methodological framework proposal for managing risk in small-scale farming through the integration of knowledge and data analytics","authors":"Juan Fernando Casanova Olaya, Juan Carlos Corrales","doi":"10.3389/fsufs.2024.1363744","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1363744","url":null,"abstract":"Climate change and weather variability pose significant challenges to small-scale crop production systems, increasing the frequency and intensity of extreme weather events. In this context, data modeling becomes a crucial tool for risk management and promotes producer resilience during losses caused by adverse weather events, particularly within agricultural insurance. However, data modeling requires access to available data representing production system conditions and external risk factors. One of the main problems in the agricultural sector, especially in small-scale farming, is data scarcity, which acts as a barrier to effectively addressing these issues. Data scarcity limits understanding the local-level impacts of climate change and the design of adaptation or mitigation strategies to manage adverse events, directly impacting production system productivity. Integrating knowledge into data modeling is a proposed strategy to address the issue of data scarcity. However, despite different mechanisms for knowledge representation, a methodological framework to integrate knowledge into data modeling is lacking.This paper proposes developing a methodological framework (MF) to guide the characterization, extraction, representation, and integration of knowledge into data modeling, supporting the application of data solutions for small farmers. The development of the MF encompasses three phases. The first phase involves identifying the information underlying the MF. To achieve this, elements such as the type of knowledge managed in agriculture, data structure types, knowledge extraction methods, and knowledge representation methods were identified using the systematic review framework proposed by Kitchemhan, considering their limitations and the tools employed. In the second phase of MF construction, the gathered information was utilized to design the process modeling of the MF using the Business Process Model and Notation (BPMN).Finally, in the third phase of MF development, an evaluation was conducted using the expert weighting method.As a result, it was possible to theoretically verify that the proposed MF facilitates the integration of knowledge into data models. The MF serves as a foundation for establishing adaptation and mitigation strategies against adverse events stemming from climate variability and change in small-scale production systems, especially under conditions of data scarcity.The developed MF provides a structured approach to managing data scarcity in small-scale farming by effectively integrating knowledge into data modeling processes. This integration enhances the capacity to design and implement robust adaptation and mitigation strategies, thereby improving the resilience and productivity of small-scale crop production systems in the face of climate variability and change. Future research could focus on the practical application of this MF and its impact on small-scale farming practices, further validating its effectiveness and s","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"13 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814648","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}
Pub Date : 2024-07-22DOI: 10.3389/fsufs.2024.1451483
Carla Cavallo, Giovanbattista Califano
{"title":"Editorial: Alternative protein source for a sustainable and healthy nutrition","authors":"Carla Cavallo, Giovanbattista Califano","doi":"10.3389/fsufs.2024.1451483","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1451483","url":null,"abstract":"","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814193","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}
Pub Date : 2024-07-22DOI: 10.3389/fsufs.2024.1325915
Yang Liu, Hui Jiang, Junfu Cui
In the context of the ongoing process of high-quality development in the new era, which is focused on improving total factor productivity, it is of great importance to explore the spatial and temporal variations of total factor productivity growth and its driving factors in China’s county regions’ grain cultivation industry. This paper employs a three-stage DEA-Malmquist productivity method, the Gini coefficient method, and a panel fixed-effects model to analyze data from Chinese counties between 2009 and 2019. The analysis indicates that the growth of county food total factor productivity (FTFP) exhibits a fluctuating upward trend during the examination period, with an average annual growth rate of 2.43%. This is primarily driven by technological progress, yet the core driving role of technological efficiency is not effectively played. The average annual growth rate of county FTFP varies across different regions. The highest average annual growth rate of county FTFP in the eastern region and the primary grain-producing area is 2.75 and 3.04%, respectively. The lowest growth rates were observed in the western region and the main grain marketing area, at 1.44 and 1.23%, respectively. Secondly, the Gini coefficient of county FTFP continues to demonstrate a persistent upward trend during the examination period, with an average annual growth rate of 14.729%. The primary factor contributing to the observed variation in total factor productivity growth of the food sector at the regional level is the existence of disparate technological progress. Thirdly, there is a notable positive correlation between county financial deepening and financial self-sufficiency rates and county FTFP growth, with impact coefficients of 0.0503 and 0.0924, respectively. Conversely, county population density, degree of economic development, farmers’ income level, and industrial structure exert a significant negative influence on county FTFP growth and technological progress.
{"title":"County-level total factor productivity of food in China and its spatio-temporal evolution and drivers","authors":"Yang Liu, Hui Jiang, Junfu Cui","doi":"10.3389/fsufs.2024.1325915","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1325915","url":null,"abstract":"In the context of the ongoing process of high-quality development in the new era, which is focused on improving total factor productivity, it is of great importance to explore the spatial and temporal variations of total factor productivity growth and its driving factors in China’s county regions’ grain cultivation industry. This paper employs a three-stage DEA-Malmquist productivity method, the Gini coefficient method, and a panel fixed-effects model to analyze data from Chinese counties between 2009 and 2019. The analysis indicates that the growth of county food total factor productivity (FTFP) exhibits a fluctuating upward trend during the examination period, with an average annual growth rate of 2.43%. This is primarily driven by technological progress, yet the core driving role of technological efficiency is not effectively played. The average annual growth rate of county FTFP varies across different regions. The highest average annual growth rate of county FTFP in the eastern region and the primary grain-producing area is 2.75 and 3.04%, respectively. The lowest growth rates were observed in the western region and the main grain marketing area, at 1.44 and 1.23%, respectively. Secondly, the Gini coefficient of county FTFP continues to demonstrate a persistent upward trend during the examination period, with an average annual growth rate of 14.729%. The primary factor contributing to the observed variation in total factor productivity growth of the food sector at the regional level is the existence of disparate technological progress. Thirdly, there is a notable positive correlation between county financial deepening and financial self-sufficiency rates and county FTFP growth, with impact coefficients of 0.0503 and 0.0924, respectively. Conversely, county population density, degree of economic development, farmers’ income level, and industrial structure exert a significant negative influence on county FTFP growth and technological progress.","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"10 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815789","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}
Pub Date : 2024-07-19DOI: 10.3389/fsufs.2024.1396705
Qian Li, Yi Xu, Xue Zhao, Jiaxiao Xie, Tianyi Jiao, Zhaoxian Su
Resettlement is an important part of water conservancy and hydropower projects, and its development is a proper means of comprehensively promoting rural revitalization. The issue of sustainable livelihoods in resettlement has always attracted significant attention. Based on the traditional sustainable livelihood framework, this paper attempts to incorporate psychological capital and construct a sustainable livelihood index system for resettlement caused by water conservancy and hydropower projects. It also adopts research data from 138 migrant resettlement sites along the middle route of the South to North Water Diversion Project, and employs generalized ordinal logistical models to carry out empirical research on the relationship between migrants’ livelihood capital and livelihood strategies. The results show that the values of migrants’ capital vary across different types of resettlement sites, and natural capital, physical capital, social capital, psychological capital are greatly affected by location distribution, while human capital and financial capital show only slight differences. The choice of migrants’ livelihood strategies also vatu across different resettlement sites, and these strategies are closely related to their livelihood capitals showing a positive correlation. The role played by different kinds of livelihood capitals in the transformation of migrants’ livelihood strategies vary, and the impact of migrants’ livelihood capital on this transformation also differs. The roles of various livelihood capitals in the transformation of migrants’ livelihood strategies are different, and the extents to which each livelihood capital plays a role will change as migrants’ livelihood strategies tend to diversify. This study can provide a reference for the formulation, implementation and optimization of policies related to the relocation and resettlement of migrants from water conservancy and hydropower projects, post-completion support and livelihood development.
{"title":"Research on the livelihood capital and livelihood strategies of resettlement in China’s South-to-North Water Diversion Middle Line Project","authors":"Qian Li, Yi Xu, Xue Zhao, Jiaxiao Xie, Tianyi Jiao, Zhaoxian Su","doi":"10.3389/fsufs.2024.1396705","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1396705","url":null,"abstract":"Resettlement is an important part of water conservancy and hydropower projects, and its development is a proper means of comprehensively promoting rural revitalization. The issue of sustainable livelihoods in resettlement has always attracted significant attention. Based on the traditional sustainable livelihood framework, this paper attempts to incorporate psychological capital and construct a sustainable livelihood index system for resettlement caused by water conservancy and hydropower projects. It also adopts research data from 138 migrant resettlement sites along the middle route of the South to North Water Diversion Project, and employs generalized ordinal logistical models to carry out empirical research on the relationship between migrants’ livelihood capital and livelihood strategies. The results show that the values of migrants’ capital vary across different types of resettlement sites, and natural capital, physical capital, social capital, psychological capital are greatly affected by location distribution, while human capital and financial capital show only slight differences. The choice of migrants’ livelihood strategies also vatu across different resettlement sites, and these strategies are closely related to their livelihood capitals showing a positive correlation. The role played by different kinds of livelihood capitals in the transformation of migrants’ livelihood strategies vary, and the impact of migrants’ livelihood capital on this transformation also differs. The roles of various livelihood capitals in the transformation of migrants’ livelihood strategies are different, and the extents to which each livelihood capital plays a role will change as migrants’ livelihood strategies tend to diversify. This study can provide a reference for the formulation, implementation and optimization of policies related to the relocation and resettlement of migrants from water conservancy and hydropower projects, post-completion support and livelihood development.","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822397","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}
Pub Date : 2024-07-19DOI: 10.3389/fsufs.2024.1412443
Elisabeta Lika, Chelsea Sutherland, Savannah Gleim, Stuart J. Smyth
Over the last three decades, Saskatchewan, home to over 40% of Canada's cropland, has seen transformative shifts in dryland crop production. Notably, the adoption of herbicide-tolerant canola in 1995 and the increase in nitrogen-fixing pulse crops like lentils and chickpeas have moved agricultural practices away from traditional fallow and tilled fields to more continuous crop rotations.Our study, analyzing survey data from 1991–1994 and to 2016–2019, evaluates how these changes have influenced fertilizer usage, focusing on application rates, timing, and types.We anticipated that integrating nitrogen-fixing pulses and genetically modified herbicide-tolerant (GMHT) canola would promote more sustainable fertilization methods. Indeed, our results show significant reductions in nitrogen fertilizer use - by 49% to 73% in the earlier period and 3% to 19% more recently - due to the integration of these crops.GMHT canola, by reducing the dependency on synthetic nitrogen fertilizers, demonstrates a shift in fertility dynamics by enhancing nutrient uptake efficiency. This adaptation has not only reduced fertilizer costs but also contributed to more sustainable crop management. These findings highlight the environmental benefits of updated crop rotations, emphasizing the improved efficiency of fertilizer use. More broadly, they highlight the potential of expanded pulse cultivation to boost agricultural sustainability and reduce greenhouse gas emissions through better nitrogen management. While the transferability of these findings may be limited by the study's regional focus and sample size, they hold value for informing sustainable practices in similar agricultural settings.
{"title":"Analyzing shifts in fertilizer use with crop rotation practices in Saskatchewan across distinct periods from 1991–94 to 2016–19","authors":"Elisabeta Lika, Chelsea Sutherland, Savannah Gleim, Stuart J. Smyth","doi":"10.3389/fsufs.2024.1412443","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1412443","url":null,"abstract":"Over the last three decades, Saskatchewan, home to over 40% of Canada's cropland, has seen transformative shifts in dryland crop production. Notably, the adoption of herbicide-tolerant canola in 1995 and the increase in nitrogen-fixing pulse crops like lentils and chickpeas have moved agricultural practices away from traditional fallow and tilled fields to more continuous crop rotations.Our study, analyzing survey data from 1991–1994 and to 2016–2019, evaluates how these changes have influenced fertilizer usage, focusing on application rates, timing, and types.We anticipated that integrating nitrogen-fixing pulses and genetically modified herbicide-tolerant (GMHT) canola would promote more sustainable fertilization methods. Indeed, our results show significant reductions in nitrogen fertilizer use - by 49% to 73% in the earlier period and 3% to 19% more recently - due to the integration of these crops.GMHT canola, by reducing the dependency on synthetic nitrogen fertilizers, demonstrates a shift in fertility dynamics by enhancing nutrient uptake efficiency. This adaptation has not only reduced fertilizer costs but also contributed to more sustainable crop management. These findings highlight the environmental benefits of updated crop rotations, emphasizing the improved efficiency of fertilizer use. More broadly, they highlight the potential of expanded pulse cultivation to boost agricultural sustainability and reduce greenhouse gas emissions through better nitrogen management. While the transferability of these findings may be limited by the study's regional focus and sample size, they hold value for informing sustainable practices in similar agricultural settings.","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"122 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820962","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}
Pub Date : 2024-07-19DOI: 10.3389/fsufs.2024.1399746
Daniel López-García, J. L. Cruz-Maceín, Martina DiPaula
In the EU, policies towards territorial development and the sustainability of agro-food systems are exemplified above all in Pillar II of the Common Agricultural Policy (CAP). However, policies for the promotion of sustainable food systems and networks are mainly driven by municipalities and large cities. In order to understand multi-level configurations of policies to promote Sustainable Food Systems (SFS), this paper strives to identify the challenges that municipal policymakers face in implementing sustainable agro-food policies, from a multi-level governance perspective. To this end, and through in-depth interviews and secondary documentation analysis, the policies implemented in 10 different municipalities of the Madrid Region (Spain) are studied and the challenges these municipalities are facing are analysed from a multi-scale and territorialised perspective. The following research objectives are addressed: (1) description of the type of policies implemented for the promotion of SFS and the narrative frameworks in which they are shaped; (2) identification of challenges of local policies to support SFS especially governance challenges; and (3) proposals for the promotion of sustainable food systems through a multi-level, territorialised governance perspective. The paper identifies three main axes of tension and discoordination—municipal Vs regional powers; agricultural vs. food policies; and rural vs. urban territories—that constrains the sustainability potential of multi-level agro food policies. Finally, we provide a comprehensive, sustainable scheme to assess local agro-food governance throughout a multi-level and multi-actor approach, setting interrelations between the different levels, actors and agencies involved to overcome the lock-ins identified.
{"title":"Agri vs. food? Perceptions of local policymakers on agro-food policies from a multilevel approach","authors":"Daniel López-García, J. L. Cruz-Maceín, Martina DiPaula","doi":"10.3389/fsufs.2024.1399746","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1399746","url":null,"abstract":"In the EU, policies towards territorial development and the sustainability of agro-food systems are exemplified above all in Pillar II of the Common Agricultural Policy (CAP). However, policies for the promotion of sustainable food systems and networks are mainly driven by municipalities and large cities. In order to understand multi-level configurations of policies to promote Sustainable Food Systems (SFS), this paper strives to identify the challenges that municipal policymakers face in implementing sustainable agro-food policies, from a multi-level governance perspective. To this end, and through in-depth interviews and secondary documentation analysis, the policies implemented in 10 different municipalities of the Madrid Region (Spain) are studied and the challenges these municipalities are facing are analysed from a multi-scale and territorialised perspective. The following research objectives are addressed: (1) description of the type of policies implemented for the promotion of SFS and the narrative frameworks in which they are shaped; (2) identification of challenges of local policies to support SFS especially governance challenges; and (3) proposals for the promotion of sustainable food systems through a multi-level, territorialised governance perspective. The paper identifies three main axes of tension and discoordination—municipal Vs regional powers; agricultural vs. food policies; and rural vs. urban territories—that constrains the sustainability potential of multi-level agro food policies. Finally, we provide a comprehensive, sustainable scheme to assess local agro-food governance throughout a multi-level and multi-actor approach, setting interrelations between the different levels, actors and agencies involved to overcome the lock-ins identified.","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"110 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141821342","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}
Pub Date : 2024-07-19DOI: 10.3389/fsufs.2024.1457532
T. Madera-Santana, C. G. Barreras-Urbina, F. Rodríguez-Félix, María Ancín
{"title":"Editorial: Green technologies for the extraction of bioactive compounds, its use for the production of nanomaterials, and their application in the food industry","authors":"T. Madera-Santana, C. G. Barreras-Urbina, F. Rodríguez-Félix, María Ancín","doi":"10.3389/fsufs.2024.1457532","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1457532","url":null,"abstract":"","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"103 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820755","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}
Pub Date : 2024-07-19DOI: 10.3389/fsufs.2024.1428466
Muhammad Rabiu Kabiru, Alfred Balenor Buernor, Sara Dahhani, Mohamed Hafidi, Jibrin Mohammed Jibrin, M. Jemo
Supplementing soybean plants with phosphorus (P) and inoculation with effective rhizobia (Rh) strains enhance grain yield and profits and promotes sustainable agricultural practices in Nigeria. Limited field data exists on the effects of P forms (e.g., less soluble rock-P) on yield improvement with Rh or alone. We conducted a study where we grew soybeans in two agroecological zones (AEZs), i.e., Sudan (SS) and the Northern Guinea Savanna (NGS) of Nigeria. The P-treatments included no phosphorus (no-P), half the recommended amount of less soluble rock phosphate (RP), plus half the amount of water-soluble triple super phosphate (TSP). Soybean plants were subjected to one of the three different strains of Bradyrhizobia: Bradyrhizobium elkanii (Be), B. japonicum (Bj), or B. diazoefficiens strain (Bd). Control and nitrogen (40 kg N ha−1) treatments were included. The number of nodules, dry weights (DW), and shoot biomass weight were measured at flowering. A linear mixed model predicted grain yield and nodules DW variables from the managed and environmental factors, including manganese (Mn), magnesium (Mg), and the two AEZs. Soybean yield for ½RP + ½TSP gave a 27.4% relative increase to the control. Plants inoculated with the Be strain displayed the highest grain yield under the NGS soils. The linear mixed regression explained the yield and nodule variation with a trained root means square value of 0.87 and 0.82, respectively. The P sources, Rh inoculation, and the inoculated strains explained the yield variation well. Additionally, the soil-Mn content negatively impacted the yield, while the increasing soil-Mg enhanced nodule dry weight. Studies on the required Mn availability and forms in soil and the threshold concentrations of Mg for optimal N2 fixation and yield of soybeans are discussed.
{"title":"Soybean yield variability and predictability from applied phosphorus sources and rhizobia inoculation in Northern Nigeria","authors":"Muhammad Rabiu Kabiru, Alfred Balenor Buernor, Sara Dahhani, Mohamed Hafidi, Jibrin Mohammed Jibrin, M. Jemo","doi":"10.3389/fsufs.2024.1428466","DOIUrl":"https://doi.org/10.3389/fsufs.2024.1428466","url":null,"abstract":"Supplementing soybean plants with phosphorus (P) and inoculation with effective rhizobia (Rh) strains enhance grain yield and profits and promotes sustainable agricultural practices in Nigeria. Limited field data exists on the effects of P forms (e.g., less soluble rock-P) on yield improvement with Rh or alone. We conducted a study where we grew soybeans in two agroecological zones (AEZs), i.e., Sudan (SS) and the Northern Guinea Savanna (NGS) of Nigeria. The P-treatments included no phosphorus (no-P), half the recommended amount of less soluble rock phosphate (RP), plus half the amount of water-soluble triple super phosphate (TSP). Soybean plants were subjected to one of the three different strains of Bradyrhizobia: Bradyrhizobium elkanii (Be), B. japonicum (Bj), or B. diazoefficiens strain (Bd). Control and nitrogen (40 kg N ha−1) treatments were included. The number of nodules, dry weights (DW), and shoot biomass weight were measured at flowering. A linear mixed model predicted grain yield and nodules DW variables from the managed and environmental factors, including manganese (Mn), magnesium (Mg), and the two AEZs. Soybean yield for ½RP + ½TSP gave a 27.4% relative increase to the control. Plants inoculated with the Be strain displayed the highest grain yield under the NGS soils. The linear mixed regression explained the yield and nodule variation with a trained root means square value of 0.87 and 0.82, respectively. The P sources, Rh inoculation, and the inoculated strains explained the yield variation well. Additionally, the soil-Mn content negatively impacted the yield, while the increasing soil-Mg enhanced nodule dry weight. Studies on the required Mn availability and forms in soil and the threshold concentrations of Mg for optimal N2 fixation and yield of soybeans are discussed.","PeriodicalId":504481,"journal":{"name":"Frontiers in Sustainable Food Systems","volume":"121 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822065","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}
Pub Date : 2024-07-19DOI: 10.3389/fsufs.2024.1406962
A. Finzi, O. Ferrari, E. Riva, G. Provolo
The ammonia (NH3) stripping process can recover nitrogen (N) from slurry and digestates as a mineral fertilizer, but it is currently expensive and difficult to manage at the farm level. Hence, a simple process is required. This study aimed to test a modular (based on farm N surplus) slow-release NH3 stripping process at a pilot plant scale. NH3 volatilization was promoted in a closed reactor, and then, the NH3 was removed by an air stream through the reactor headspace. The NH3-loaded air was purified in a scrubber, where NH3 reacted with sulfuric acid to form ammonium sulfate (AS). In total, 11 trials were conducted using pig slurry, dairy cattle slurry, and digestates: 7 trials were carried out with the reactors heated to 40°C, 2 trials were carried out at an ambient temperature, and the other 2 trials were carried out with the addition of sodium hydroxide (NaOH). To assess the technical–economic sustainability of the pilot plant, the total ammoniacal nitrogen (TAN) removal rate, electricity consumption, acid requirements, and AS quality and costs were evaluated. The pilot plant yielded TAN recovery amounts of 45% in 2 weeks with the reactors heated to 40°C, 64% in 1 week with NaOH addition, and 25% in 2 weeks at an ambient temperature. The N concentration in the AS solution reached 85.9 g kg−1, with an average value of 35.2 g kg−1. The electricity consumption, acid requirement, and operational costs in an optimized system were approximately 0.52 kWh kgN−1 recovered, 3.5 kg pure acid kgN−1 recovered, and 0.86 € kgN−1 recovered, respectively. Compared to other technologies, the simplified stripping process is slower but with similar removal efficiencies and lower energy consumption. Thus, this finding could be suitable for improving the N use in intensive livestock farms.
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