Thi-Phuong Nguyen , Paul C. Struik , Kees Swaans , Huong Thi Mai Pham , The Ky Hoang , Deborah Nabuuma , Tjeerd-Jan Stomph
{"title":"Household vegetable agro-biodiversity in northern Vietnam requires diversity in seed sources","authors":"Thi-Phuong Nguyen , Paul C. Struik , Kees Swaans , Huong Thi Mai Pham , The Ky Hoang , Deborah Nabuuma , Tjeerd-Jan Stomph","doi":"10.1016/j.agsy.2025.104515","DOIUrl":"10.1016/j.agsy.2025.104515","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Despite increasing interest in agro-biodiversity, there is little research on the role of diversity in seed sources and related seed systems in supporting vegetable diversity.</div></div><div><h3>OBJECTIVE</h3><div>We aimed to analyze drivers of vegetable diversity and of farmers' choice of seed sources. Moreover, we explored how vegetable diversity and the use of seed sources were related. We focused on households of communities in northern Vietnam with large vegetable diversity as a case in point.</div></div><div><h3>METHODS</h3><div>We conducted 51 stakeholder interviews, 13 focus group discussions, and a survey among 409 households in 32 villages in 2 contrasting regions. Vegetable diversity was defined as counts of unique vegetables. Bayesian mixed-effect models were used to elucidate which factors influenced vegetable diversity at household level, and farmers' seed sourcing decisions.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>On average, households grew 8 (range 1–27) vegetables and used 2 (range 1–6) seed sources. Smaller crop land area resulted in less diversity. Growing more vegetables was associated with women having more years of experience in vegetable production and using more seed sources. Self-saved seed was common, but households relied on off-farm sources for seed that was difficult to produce and/or preserve. Intermediaries created intermediate seed systems, thus linking farmers to formal seed systems.</div></div><div><h3>SIGNIFICANCE</h3><div>As households with larger vegetable diversity used more seed sources, integrated seed sector development should strengthen reliability of all current seed sources to maintain vegetable diversity. This includes reliability of intermediaries and information, and enhancing farmers' capacity for and role in producing and preserving their own seed.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104515"},"PeriodicalIF":6.1,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Stark , R. Mettauer , J. Ryschawy , M. Grillot , A. Cassagnes , I. Shaqura , M. Moraine
{"title":"Strategies to advance the agroecological transition: Insights from a case study of sheep–crop integration in southwestern France","authors":"F. Stark , R. Mettauer , J. Ryschawy , M. Grillot , A. Cassagnes , I. Shaqura , M. Moraine","doi":"10.1016/j.agsy.2025.104514","DOIUrl":"10.1016/j.agsy.2025.104514","url":null,"abstract":"<div><h3>Context</h3><div>Mediterranean areas face multiple challenges, including biodiversity loss, soil degradation, and vulnerability to climate change. In southern France's Languedoc region, vineyard monoculture dominates, and livestock systems are rare. Agroecological transitions, especially crop-livestock integration, offer opportunities to diversify systems, recycle nutrients, enhance biodiversity, and reduce fire risks. However, such integration is difficult due to climatic constraints, land accessibility, and the current disconnection between crop and livestock systems.</div></div><div><h3>Objective</h3><div>This study aimed to explore how crop-livestock integration practices in the Minervois territory could be expanded to support agroecological transitions. It focused on identifying synergies that address forage needs for local flocks and create benefits for vineyard and cereal farmers.</div></div><div><h3>Methods</h3><div>As part of a larger participatory and locally grounded approach, we designed agroecological scenarios based on integration of sheep farming system with various crop and semi-natural areas. We assessed the potential to reintroduce livestock in an area where few systems have existed recently. The process identified both the biotechnical and coordination conditions required to sustain livestock with local forage throughout the year and to organize exchanges among stakeholders.</div></div><div><h3>Results and conclusions</h3><div>Except under dry conditions, a flock of 1200 ewes could be sustained year-round through a diversified landscape combining cereal crops, vineyard inter-rows, local rangelands, and transhumance (i.e., moving the flock from one territory to another to graze available forage resources). This diversity enhances agroecological performance through crop-livestock complementarities by exploiting synergies between animal and plant species, over time and space. The method used can be adapted to other territories, and stakeholder involvement is essential for developing understanding and implementing feasible scenarios</div></div><div><h3>Significance</h3><div>The results support future studies aiming to link forage availability with organizational strategies to identify grazing areas and develop concrete implementation plans.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104514"},"PeriodicalIF":6.1,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Franco da Silveira , Guilherme Sales Smania , Rafael Landaverde , Lauro Osiro , Édson Luis Bolfe , Luciana Alvim Santos Romani , Jayme Garcia Arnal Barbedo
{"title":"Exploring the drivers of responsible scaling of Agriculture 4.0 technologies for transformative impact in the modern agri-food ecosystem: An ISM-based analysis","authors":"Franco da Silveira , Guilherme Sales Smania , Rafael Landaverde , Lauro Osiro , Édson Luis Bolfe , Luciana Alvim Santos Romani , Jayme Garcia Arnal Barbedo","doi":"10.1016/j.agsy.2025.104508","DOIUrl":"10.1016/j.agsy.2025.104508","url":null,"abstract":"<div><h3>CONTEXT</h3><div>The emergence of Agriculture 4.0 has revolutionized the agri-food system, introducing technologies like AI, IoT, drones, and digital twins that reshape traditional practices and offer new opportunities to address food crises driven by climate change, population growth, and resource scarcity. The adoption of these technologies has gained global interest, and concepts like “drivers” have been used to explain the forces behind this transformation. However, studies on these drivers and their interrelationships remain scarce, highlighting a gap in understanding the factors influencing the adoption of Agriculture 4.0.</div></div><div><h3>OBJECTIVE</h3><div>This research, therefore, explores this context by identifying the key drivers for the adoption of Agriculture 4.0 technologies in the modern agri-food ecosystem. Additionally, it identifies the interrelationships and hierarchical structures among these drivers, providing insights to tackle the challenges of complex agri-food systems and prioritize key issues for their modernization.</div></div><div><h3>METHODS</h3><div>A total of eighteen drivers were identified through a Systematic Literature Review (SLR) and classified into three clusters: Technological Drivers (TD), Political Drivers (PD), and Social Drivers (SD). Subsequently, ten experts established contextual relationships among all these drivers. The Interpretive Structural Modeling (ISM) method was applied, along with the fuzzy Matrix Impact of Cross Multiplication Applied to Classification (MICMAC) analysis, which enabled the identification of Agriculture 4.0 drivers with high driving power and those that are dependent.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The study's findings reveal that the most influential drivers — rural connectivity, rural youth, governmental pressure, information disclosure mechanisms, and ecosystem representativeness — hold the greatest driving power in shaping the adoption dynamics of Agriculture 4.0 technologies. These elements act as core levers that not only directly influence adoption but also amplify the effect of other drivers within the agri-food system. When these primary drivers are overlooked, they can generate structural and social bottlenecks that hinder — or even block — the effective integration of Agriculture 4.0, especially in small rural and resource-limited contexts. From a strategic perspective, enhancing rural connectivity and fostering the active participation of rural youth emerge as foundational actions to strengthen long-term adoption capacity. In parallel, policymakers should reinforce governance frameworks that ensure transparency, facilitate the free flow of reliable information, and integrate ecosystem diversity and representativeness into agricultural innovation policies. By addressing these interconnected drivers in synergy with other enabling drivers across their respective clusters, it becomes possible to accelerate the transition toward more ","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104508"},"PeriodicalIF":6.1,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Constraints and promising interventions to strengthen fish seed systems in Sub-Saharan Africa: Evidence from Ghana","authors":"Catherine Ragasa , Froukje Kruijssen , Seth Koranteng Agyakwah , Emmanuel Tetteh-Doku Mensah , Ruby Asmah , Martha Ataa-Asantewaa , Sena Amewu , Sarah Alobo Loison","doi":"10.1016/j.agsy.2025.104511","DOIUrl":"10.1016/j.agsy.2025.104511","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Aquaculture has surpassed capture fisheries in terms of production and is among the fastest growing food sectors. It has great potential to contribute to food security and nutrition, poverty reduction, jobs, and environmental sustainability. Fish seed is increasingly considered to be a major driver and disabler of aquaculture development. However, little is known about how fish seed systems operate, their challenges and opportunities, or entry points for strengthening them.</div></div><div><h3>OBJECTIVE</h3><div>This study analyzes primary data on the challenges and opportunities faced by various actors along the fish seed chain, documents the lessons from a fish seed project (Ghana Tilapia Seed Project, 2019–2022), and provides an analysis of entry points for strengthening fish seed systems.</div></div><div><h3>METHODS</h3><div>Using an analytical framework that tracks <em>germplasm base, seed production and quality, seed availability and distribution,</em> and <em>the information flow</em> along the fish seed value chain, we analyze the case of Ghana, the top producer of farmed tilapia in sub-Saharan Africa. The study uses a mixed-methods approach, including value chain analysis, action-oriented research methods, and statistical analysis of survey data.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>Findings indicate that the initial rapid growth in tilapia production in Ghana was partly due to an improved local strain released in 2004; however, the recent stagnation is largely caused by seed-related issues (poor maintenance and improvement of germplasm base, seed quality and availability, lack of information and coordination, and lack of enforcement of regulations). This study highlights the successes and lessons learned from the Ghana Tilapia Seed Project on broodstock distribution, training on fingerling production, establishment of nurseries, and training of fish farmers. The lessons highlight the need for policy changes and capacity building related to strain development and broodstock management.</div></div><div><h3>SIGNIFICANCE</h3><div>These findings fill the large gap in evidence on the functioning of fish seed systems and how to strengthen them. They can directly inform ongoing country-level efforts and programs aiming to develop aquaculture.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104511"},"PeriodicalIF":6.1,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Climate physical risks and technological innovation in the grain industry chain: an empirical analysis based on machine learning of patent texts in China","authors":"Xiaobing Gu, Junfeng Zhu","doi":"10.1016/j.agsy.2025.104507","DOIUrl":"10.1016/j.agsy.2025.104507","url":null,"abstract":"<div><h3>Context</h3><div>Climate change-induced physical risks are permeating the entire grain industry chain (GIC), triggering systemic restructuring pressures. While global adaptive responses increasingly prioritize technological innovation as the most promising solution, empirical validation remains scarce due to measurement challenges in quantifying GIC technology innovation (GICTI). Critically, prior studies focus narrowly on single production segments, lacking a deconstruction of innovation responses across the full chain. This also leaves the linkage mechanism between climate physical risks and different innovation types still in a black box, hindering effective policy-making.</div></div><div><h3>Objective</h3><div>This study investigates the structural impacts of climate physical risks on GICTI: 1) Quantify risk effects across five segments: pre-production R&D segment, cultivation-harvest segment, storage-transport-processing segment, distribution-consumption segment, and whole-chain technologies; 2) Measure asymmetric effects on disruptive versus incremental innovation; 3) Verify the pivotal role of R&D capital allocation in risk transmission; 4) Identify regional heterogeneity patterns.</div></div><div><h3>Methods</h3><div>1) Innovation measurement: Using Chinese GIC patent data, we constructed a multi-level semantic analysis framework with machine learning: BERT model decoded patent abstracts to classify innovations into specific chain segments; BGE model transformed text into semantic vectors, identifying disruptive/incremental technological innovations via average vector distance thresholds. 2) Climate physical risk quantification: Provincial climate physical risk indices were developed from multi-dimensional perspectives. 3) Empirical analysis: Bidirectional fixed-effects models examined the impacts and mechanisms of climate risks on innovation levels/structure across Chinese provinces (2004–2023).</div></div><div><h3>Results and conclusions</h3><div>1) Climate physical risks exhibit significant long-term driving effects on GICTI. 2) Structural heterogeneity prevails: Cultivation-harvest and storage-transport-processing segments show robust positive responses, while incremental innovation responds more systematically than disruptive innovation. 3) Mechanistically, R&D capital deepening constitutes the core transmission channel, though excessive R&D intensity and private-public R&D investment ratios substantially weaken innovation incentives. 4) Regionally, innovation responsiveness is significantly stronger in grain-producing provinces and western China.</div></div><div><h3>Significance</h3><div>1) Methodologically, the BERT-BGE dual-model framework transcends IPC coding limitations, establishing a replicable paradigm for industry-specific innovation measurement. 2) Theoretically, we empirically integrate climate physical risks, chain-wide innovation, and spatial heterogeneity, unraveling risk-innovation dynamic","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104507"},"PeriodicalIF":6.1,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantifying intercropping water advantages: A novel cosine similarity framework linking root water uptake patterns to productivity","authors":"Yingbo Liu , Yusen Yuan , Taisheng Du","doi":"10.1016/j.agsy.2025.104501","DOIUrl":"10.1016/j.agsy.2025.104501","url":null,"abstract":"<div><h3>Context</h3><div>Intercropping modifies soil water dynamics through complex interspecific interactions crucial for enhancing water productivity. However, quantitative assessment of its productivity based on underlying water utilization processes remains a critical gap. Thus, novel methodologies are needed to evaluate water use patterns-productivity relationships in agricultural systems with interactions.</div></div><div><h3>Objective</h3><div>This study aimed to develop and validate a novel quantitative framework, using cosine similarity metrics derived from stable isotope data, to evaluate water use complementarity and competition in different intercropping systems.</div></div><div><h3>Methods</h3><div>Stable isotope combined with the MixSIAR Bayesian mixing model quantified root water uptake (RWU) and differentiated water use strategies. The Relative Difference in RWU (RDRWU) was introduced to quantify water deficits or advantages in intercropping compared to monocultures. Four cosine similarity metrics, θ<sub>CS</sub>, RDSW<sub>CS</sub>, RWU<sub>CS</sub>, and RDRWU<sub>CS</sub>, were proposed linking to water productivity.</div></div><div><h3>Results and conclusions</h3><div>The cosine similarity metric based on RDRWU (RDRWU<sub>CS</sub>) demonstrated the strongest linear relationship with water productivity, proving to be a robust and effective indicator for linking intercropping water use complementarity and water productivity.</div></div><div><h3>Significance</h3><div>The stable isotope method linked with cosine similarity metrics establishes a novel quantitative framework for water utilization patterns in intercropping. They hold significant potential for simulating and optimizing water productivity across irrigation regimes.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104501"},"PeriodicalIF":6.1,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designing with non-humans for agricultural systems transformation: An interdisciplinary review and framework for reflection","authors":"Tatiana Moreira , Marieke E. Meesters , Kristiaan P.W. Kok , Katharine Legun , Lenora Ditzler , Laurens Klerkx","doi":"10.1016/j.agsy.2025.104512","DOIUrl":"10.1016/j.agsy.2025.104512","url":null,"abstract":"<div><h3>CONTEXT</h3><div>In response to growing concern over agriculture's contribution to climate and ecological crises, recent definitions of sustainable food systems have expanded beyond productivity to emphasize interconnected ecological and social dimensions. Responding to this challenge, agricultural system design scholars have moved beyond a focus on merely increasing productivity, supply, and profitability, to include goals such as animal welfare and ecological health. However, this selection often fails to move beyond anthropocentric needs and values. For design to be transformative, addressing who can participate in design and how participating actors relate to each other is critical. Notably, non-humans, which are foundational to agricultural systems, are largely overlooked as actors to be involved in design processes.</div></div><div><h3>OBJECTIVE</h3><div>The aim of the article is to develop a framework to assist agricultural design scholars in meaningfully integrating non-human needs in agricultural design processes by identifying and reflecting upon trade-offs and providing methodological tools with the goal of contributing to just and sustainable transformations of agricultural systems.</div></div><div><h3>METHODS</h3><div>A critical review of the state-of-the-art of non-human participation in agricultural systems design research was done. This was followed by a narrative review, consulting several approaches from critical social sciences, such as transition studies, Actor Network Theory, animal studies, feminist posthumanism, postcolonialism and indigenous scholarship to enhance our understanding of participation by non-humans. This analysis informed a synthesized framework for reflection.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The review points at three themes for better engagement of non-humans in design, notably regarding the role of (1) agency; (2) temporality; and (3) deliberation of non-humans. Based on these themes, practical steps forward are proposed to include non-humans in five design phases: problem definition; system analysis; design requirements; measurements; and selecting design solutions.</div></div><div><h3>SIGNIFICANCE</h3><div>By opening a dialogue between agricultural systems design and different bodies of research on inclusion of non-humans, this article aims to support agricultural systems designers in their reflection, making informed, context-sensitive decisions by fostering new ways of thinking and relating to non-humans as active rather than passive actors in these processes, thereby enhancing the transformative potential of agricultural systems research and design beyond anthropocentric perspectives.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104512"},"PeriodicalIF":6.1,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emily Aquino Leite , Evandro H. Figueiredo Moura da Silva , Izael Martins Fattori Júnior , Fábio R. Marin
{"title":"Assessing climate change impacts on sugarcane yield, crop water productivity, and nitrous oxide emissions across Brazil's bioenergy using the CSM-SAMUCA-sugarcane model","authors":"Emily Aquino Leite , Evandro H. Figueiredo Moura da Silva , Izael Martins Fattori Júnior , Fábio R. Marin","doi":"10.1016/j.agsy.2025.104494","DOIUrl":"10.1016/j.agsy.2025.104494","url":null,"abstract":"<div><h3>Context</h3><div>Sugarcane-based bioenergy systems are critical in Brazil's renewable energy sector, contributing significantly to global efforts to reduce fossil fuel dependence. However, climate change introduces uncertainties related to sugarcane yield, water use efficiency, and greenhouse gas emissions. Rising atmospheric carbon dioxide (CO<sub>2</sub>) levels, increasing temperatures, and shifts in precipitation patterns are expected to impact Brazil's bioenergy cultivated areas, necessitating a comprehensive evaluation of their effects on sugarcane production and environmental sustainability.</div></div><div><h3>Objective</h3><div>This study assessed the effects of rising CO<sub>2</sub>, temperature increases, and altered precipitation on sugarcane yield, crop water productivity (WP), and nitrous oxide (N<sub>2</sub>O) emissions across Brazil's bioenergy cultivation areas under future climate scenarios.</div></div><div><h3>Methods</h3><div>We integrated the CSM-SAMUCA-Sugarcane model with the DSSAT-GHG module to simulate sugarcane systems across nine agroclimatic zones. Future projections (2040–2070) were based on 20 CMIP6 Global Climate Models (GCMs) under three Shared Socioeconomic Pathways (SSP1–2.6, SSP3–7.0, SSP5–8.5).</div></div><div><h3>Results and conclusions</h3><div>SSP1–2.6 (low-emission scenario) showed minor yield changes, with some CO₂ fertilization gains. SSP3–7.0 (intermediate/high-emission scenario) may increase yield by up to 10 % due to warming and CO₂ effects. However, SSP5–8.5 (most extreme warming) and rainfall reductions increased yield variability. N₂O emissions may rise by 5–30 %, with intensities up to 40 % higher, driven by warmer soils and faster residue decomposition. WP responses varied: some regions gained from CO₂-induced efficiency, others declined due to soil moisture limits.</div></div><div><h3>Significance</h3><div>Balancing yield improvements with N<sub>2</sub>O mitigation under climate change remains a challenge. Climate-resilient nitrogen and residue management strategies are essential to ensure sustainable bioenergy production in Brazil.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104494"},"PeriodicalIF":6.1,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Farmers’ willingness to pay for agro-weather advisories: Implications for long term support of weather information in Kenya","authors":"Mercy Kamau , John Mburu , Bradford Mills , Lilian Kirimi","doi":"10.1016/j.agsy.2025.104509","DOIUrl":"10.1016/j.agsy.2025.104509","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Climate information services (CIS) are an important tool for mitigation of the impact of climate change and weather variability. The pertinent CIS policy question is how to sustainably provide universal agricultural sector access.</div></div><div><h3>OBJECTIVE</h3><div>Farmers’ willingness to pay (WTP) for localized SMS-based agro-weather advisories is estimated, along with the factors that drive WTP, in order to identify potential tradeoffs between universal access and self-supporting service provision.</div></div><div><h3>METHODS</h3><div>A double-bound dichotomous choice model is employed to estimate farmers’ WTP. Primary data is collected from 2,384 Kenya farm households earmarked to receive weather advisories from a public program and merged with baseline and long-term rainfall data.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The findings reveal a strong demand for the advisories among farmers in Kenya. However, WTP is also positively associated with farm size, raising concern that charging a fee for the advisories will disproportionately limit smaller farmers’ access. Charging the average WTP price of Ksh 91 per month would be sufficient to cover costs of agro-weather service provision. However, only half of the farmers would demand advisories at this price, whilst charging a lower price dramatically increases inclusiveness.</div></div><div><h3>SIGNIFICANCE</h3><div>The dilemma of how to provide financially sustainable CIS while ensuring inclusive access is playing out in Kenya’s policy environment. The Meteorological Act assures farmers free access to agro-climate information but does not identify a source of funding. Cost recovery efforts can focus on high resolution agro-weather forecasts marketed as a ‘club good’ and use extracted surplus to subsidize universal broader resolution CIS.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104509"},"PeriodicalIF":6.1,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiayi Kang , Xiaotian Mi , Lei Fan , Zhaohui Wang , Gang He
{"title":"Nitrogen fertilizer and high-protein varieties work together to increase wheat grain protein concentration and yield","authors":"Jiayi Kang , Xiaotian Mi , Lei Fan , Zhaohui Wang , Gang He","doi":"10.1016/j.agsy.2025.104510","DOIUrl":"10.1016/j.agsy.2025.104510","url":null,"abstract":"<div><h3>Context</h3><div>Meeting humanity's growing grain protein needs is the top priority for food production, and although the formation of grain protein in plants is a complex and integrated process, some specific crop management practices may play a dominant role. Few studies have been data-driven to quantitatively assess the benefits of crop management practices on wheat grain protein on a national scale.</div></div><div><h3>Objectives</h3><div>To fill this gap, we quantified the total national benefits of crop management practice on wheat grain protein and estimated for the first time the productivity of China's wheat grain protein in 2030.</div></div><div><h3>Methods</h3><div>A meta-analysis was performed by compiling 5819 pairs of observations related to crop management practices and wheat grain protein, and a large-scale farmer survey was conducted from 2010 to 2020 to understand the current status of smallholder wheat production and to predict further trends using the Random Forest model.</div></div><div><h3>Results and conclusions</h3><div>Results showed that the concentration and yield of grain protein increased by 2.6–6.9 % and 9.4–13.2 % for topdressing, and 9.1 % and 6.7 % for high-protein variety, but decreased by 5.3 % and 8.5 % for optimized nitrogen (N) fertilizer rate, respectively. The RF model showed that eleven key predictors from crop management practices and soil-climate factors accounted for 84 % of the effect on wheat grain protein, with N fertilizer management and wheat varieties making the largest contributions. Using this data-driven approach, we estimated that China's grain protein production would increase from 18.6 to 19.8 Mt. with a 14 % reduction in N use through optimized N fertilizer management and the use of higher gluten wheat varieties under future climate change. Optimized N fertilizer management and the adoption of high-protein variety are the most important approaches to simultaneously improve grain yield and protein concentration.</div></div><div><h3>Significance</h3><div>Our findings fill a gap in national estimates of wheat grain protein production and highlight the importance of strategic crop management practices for nutritional security.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104510"},"PeriodicalIF":6.1,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}