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Develop a modelling framework to identify and optimize the dominant factors that limit cropland productivity 开发一个模型框架,以确定和优化限制农田生产力的主要因素
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.agsy.2026.104635
Xiaoyang Han , Changqing Song , Leina Zhang , Peichao Gao , Sijing Ye , Yakov Kuzyakov

Context

Analysing the influence mechanism of farming conditions (soil properties and agricultural infrastructure) on cropland productivity is a key prerequisite for increasing yields in low- to medium-quality land.

Objective

We proposed a modelling framework to identify key farming condition factors that limit cropland productivity and analyse the numerical ranges within which they exert a dominant influence. The responses of cropland productivity to changes in dominant farming conditions were simulated.

Methods

The framework consisted of processed long-term sequence earth observation data and random forest model. By filtering high-density cropland samples and increasing crop identification accuracy, gross primary production (GPP) was proven to be an appropriate indicator of cropland productivity in scenarios lacking high-precision crop yield data.

Results and conclusions

Farming conditions explained >60% of the spatial differences in the rice GPP and > 65% of those in the wheat GPP. Soil texture and pH were key factors limiting rice and wheat GPP. A decrease in sand content and a corresponding increase in clay content increased rice GPP. Soil nitrogen supply rapidly decreased when clay content approached 20%, decreasing rice GPP. Climate conditions influenced the preference of wheat for soil water retention and drainage-permeability, resulting in an increase wheat GPP in northern and decrease in southern regions with raising clay content. The annual total GPP of rice and wheat increased by up to 6.8% through adjusting clay and sand contents and increasing mean field size. In the northwestern and southeastern regions, small adjustments (−5% … +5%) to clay and sand contents led to annual GPP increases of >600 kg·C·ha−1 for rice and > 800 kg·C·ha−1 for paddy-wheat rotations.

Significance

The framework can provide support to optimize farming conditions in low- to medium-yield cropland renovation projects.
分析耕作条件(土壤性质和农业基础设施)对农田生产力的影响机制是提高中低质量土地产量的关键先决条件。目的:我们提出了一个模型框架,以确定限制农田生产力的关键农业条件因素,并分析它们发挥主导影响的数值范围。模拟了农田生产力对优势耕作条件变化的响应。方法采用处理后的长期序列地球观测数据和随机森林模型。通过对高密度农田样本进行过滤,提高作物识别精度,证明了在缺乏高精度作物产量数据的情况下,初级生产总值(GPP)是一个合适的农田生产力指标。结果与结论耕作条件解释了水稻GPP空间差异的60%和小麦GPP空间差异的65%。土壤质地和pH值是制约稻麦GPP的关键因素。砂含量降低,粘土含量相应增加,水稻GPP增加。当粘土含量接近20%时,土壤氮供应迅速减少,水稻GPP下降。气候条件影响了小麦对土壤保水性和透水性的偏好,导致北方小麦GPP随粘粒含量的增加而增加,南方小麦GPP随粘粒含量的增加而降低。通过调整粘土、砂粒含量和增加平均田面积,水稻和小麦的年总产值可提高6.8%。在西北和东南地区,粘土和砂含量的小幅调整(- 5% ~ +5%)导致水稻和水麦轮作的GPP年增幅分别为600 kg·C·ha - 1和800 kg·C·ha - 1。意义该框架可为中低产田改造项目优化耕作条件提供支持。
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引用次数: 0
Synergistic optimization of field management measures for yield increase and emission reduction of Panax notoginseng based on DNDC model and NSGA-III 基于DNDC模型和NSGA-III的三七增产减排田间管理措施协同优化
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.agsy.2026.104650
Qiliang Yang , Liuhui Mo , Wentao Zhang , Ling Yang , Chunhao Cao , Na Li
<div><h3>CONTEXT</h3><div><em>Panax Notoginseng</em> is a perennial herbaceous plant belonging to the Panax genus in the Araliaceae family. It has the core effects of promoting blood circulation, removing blood stasis, stopping bleeding, and reducing swelling, which is known as “gold cannot be exchanged” due to its unique medicinal value. At present, there were widespread problems of yield decline and environmental effects caused by improper management measures such as chemical fertilizer application, irrigation, and tillage in the production process of <em>Panax notoginseng</em>.</div></div><div><h3>OBJECTIVE</h3><div>Therefore, this study constructed the EFAST-DNDC-NSGA-III collaborative framework to optimize the field planting management measures of <em>Panax notoginseng</em> and realize sustainable development of <em>Panax notoginseng</em> with increased yield and reduced emissions.</div></div><div><h3>METHODS</h3><div>The crop varieties genetic parameters and field management parameters sensitive to <em>Panax notoginseng</em> yield and greenhouse gas emissions in the DNDC model were analyzed by the extended Fourier amplitude sensitivity test (EFAST) method. The applicability of DNDC model to <em>Panax notoginseng</em> was calibrated and validated by adjusting the sensitive crop varieties genetic parameters. Finally, based on the NSGA-III multi-objective optimization algorithm, the appropriate field management measures to promote increased production and reduced emissions of <em>Panax notoginseng</em> were explored.</div><div>RESULTS AND CONCLUSIONS</div><div>The results identified that water demand, root carbon‑nitrogen ratio, grain carbon‑nitrogen ratio, leaf carbon‑nitrogen ratio, and nitrogen fixation coefficient were the main sensitivity parameters affecting <em>Panax notoginseng</em> yield. It was found that the DNDC model had good applicability to <em>Panax notoginseng</em> (<em>d</em> = 0.89, <em>NRMSE</em> = 0.16) by adjusting the sensitivity parameters to calibrate and verify the DNDC model. Further sensitivity analysis of field management measures revealed that urea application rate, irrigation amount, fertilization depth, tillage depth, and nitrification inhibitor efficiency were key field management measures affecting the yield and environmental emissions (CO<sub>2</sub> and N<sub>2</sub>O) of <em>Panax notoginseng</em>. On this basis, the NSGA-III multi-objective optimization algorithm was applied to perform Pareto optimization on these five key management practices, obtaining an optimal solution set that balances yield maximization with environmental emission minimization. The results showed that the optimized scheme with irrigation amount of 16–23 mm, urea application amount of 160–210 kg N·ha<sup>−1</sup>, fertilization depth of 10–25 cm, plowing depth of 5–10 cm, and nitrification inhibitor efficiency of 30–50% could maintain the yield per unit area of <em>Panax notoginseng</em> or increase by 50%, while CO<sub>2</sub> and N
三七是五加科三七属的多年生草本植物。它具有活血化瘀、止血消肿的核心功效,因其独特的药用价值被誉为“黄金不可兑换”。目前,三七在生产过程中普遍存在因施肥、灌溉、耕作等管理措施不当导致产量下降和环境影响等问题。目的为此,本研究构建EFAST-DNDC-NSGA-III协同框架,优化三七田间种植管理措施,实现三七增产减排的可持续发展。方法采用扩展傅立叶振幅敏感性检验(EFAST)方法,对DNDC模型中对三七产量和温室气体排放敏感的作物品种遗传参数和田间管理参数进行分析。通过调整敏感作物品种遗传参数,对DNDC模型在三七上的适用性进行了标定和验证。最后,基于NSGA-III多目标优化算法,探讨了促进三七增产减排的田间管理措施。结果与结论水分需要量、根系碳氮比、籽粒碳氮比、叶片碳氮比和固氮系数是影响三七产量的主要敏感性参数。通过调整灵敏度参数对DNDC模型进行校准和验证,发现DNDC模型对三七具有较好的适用性(d = 0.89, NRMSE = 0.16)。进一步的田间管理措施敏感性分析表明,尿素施用量、灌水量、施肥深度、耕作深度和硝化抑制剂效率是影响三七产量和环境排放(CO2和N2O)的关键田间管理措施。在此基础上,应用NSGA-III多目标优化算法对这5个关键管理实践进行Pareto优化,得到一个平衡收益最大化与环境排放最小化的最优解集。结果表明:灌溉量16 ~ 23 mm、尿素用量160 ~ 210 kg N·ha−1、施肥深度10 ~ 25 cm、翻耕深度5 ~ 10 cm、硝化抑制剂效率30 ~ 50%的优化方案可使三七单产保持或提高50%,CO2和N2O排放量分别减少10% ~ 50%和48% ~ 60%。意义本研究构建的“快速敏感性分析-模型评价-多目标优化”方法体系可为解决三七或其他作物种植“高产-环保”的现实矛盾提供科学依据,对实现三七产业的绿色可持续发展具有重要的指导价值。
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引用次数: 0
A modelling framework for assessing the plausible impacts of biological nitrification inhibition in cropping systems 用于评估种植系统中生物硝化抑制的合理影响的建模框架
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-19 DOI: 10.1016/j.agsy.2025.104569
Ismail I. Garba , Wolfram Buss , Enli Wang , Cathryn A. O’Sullivan , Vadakattu V.S.R. Gupta , Alison R. Bentley , Kirsten Verburg

CONTEXT

Retaining nitrogen (N) in soils in the form of ammonium (NH4+) by inhibiting nitrification has been proposed as a strategy to reduce N gaseous losses and nitrate (NO3-) leaching. Biological nitrification inhibition (BNI) involves the release of natural metabolites from crop roots that suppress nitrifying microbes. Unlike synthetic nitrification inhibitors BNIs act directly in the rhizosphere and may provide a more spatially and temporally sustained inhibition. Because BNI effectiveness depends on crop species, and interactions with biophysical factors, a systems modelling approach is needed to assess its plausible benefits in cropping systems.

OBJECTIVE

(1) develop a BNI model suitable for integration into systems models, enabling simulation of BNI release, fate, and bioactivity within cropping systems, and (2) use the model in-silico to illustrate how system interactions influence BNI impacts.

METHODS

A BNI subroutine was developed and integrated into the Agricultural Production Systems sIMulator (APSIM) Next Generation to model BNI exudation, bioactivity, fate, and persistence in soil. Simulations for wheat, canola and sorghum were conducted to assess its plausible effects on N cycling and crop productivity.

RESULTS AND CONCLUSIONS

Four prerequisite conditions under which within-season plausible N loss and yield benefits may be realized from BNI: (i) adequate root growth and BNI release achieving effective bioactivity, (ii) BNI persistence with slow degradation at most 50% daily degradation to ensure longevity of inhibition, (iii) the crop being able to take up N in both NH4+ and NO3- forms ensuring that ‘saved N’ is assimilated and (iv) occurrence of N loss events when BNI is active. When these conditions co-occurred, simulated systems showed decreased N loss, and/or yield responses.

SIGNIFICANCE

The integrated APSIM-BNI framework provides a tool for exploring where and when BNI may deliver agronomic and environmental benefits and guiding future field experiment and trait improvement efforts.
通过抑制硝化作用以铵态氮(NH4+)的形式保持土壤中的氮(N)已被提出作为减少N气体损失和硝酸盐(NO3-)淋滤的策略。生物硝化抑制(BNI)涉及从作物根部释放抑制硝化微生物的天然代谢物。与合成硝化抑制剂不同,BNIs直接作用于根际,可能提供更持久的空间和时间抑制。由于BNI的有效性取决于作物种类及其与生物物理因素的相互作用,因此需要一种系统建模方法来评估其在种植系统中的合理效益。(1)开发一个适合集成到系统模型中的BNI模型,能够模拟作物系统中BNI的释放、命运和生物活性;(2)使用该模型来说明系统相互作用如何影响BNI的影响。方法开发BNI子程序,并将其集成到下一代农业生产系统模拟器(APSIM)中,模拟BNI在土壤中的分泌、生物活性、命运和持久性。对小麦、油菜和高粱进行了模拟试验,以评估其对氮循环和作物生产力的可能影响。结果与结论BNI在季节内可能实现合理的氮损失和产量效益的四个先决条件:(i)充分的根系生长和BNI释放获得有效的生物活性,(ii) BNI持续缓慢降解,每日降解率不超过50%,以确保抑制的持久性,(iii)作物能够吸收NH4+和NO3-形式的氮,确保“保存的氮”被同化,(iv) BNI活性时发生氮损失事件。当这些条件同时发生时,模拟系统显示出氮损失减少和/或产量响应。综合APSIM-BNI框架为探索BNI在何时何地可能带来农艺和环境效益提供了工具,并指导未来的田间试验和性状改良工作。
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引用次数: 0
Spatio-temporal changes in cropland system and its impacts on grain production in China 中国耕地系统时空变化及其对粮食生产的影响
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-19 DOI: 10.1016/j.agsy.2025.104573
Lanping Tang , Peter H. Verburg , Xinli Ke , Chengcheng Wang , Shaohua Wu , Wuyan Li , Jinxia Zhu
<div><h3>CONTEXT</h3><div>Global food security remains a pressing concern, with rising undernourishment rates exacerbated by urbanization, climate change, and soil degradation. Understanding the dynamics of cropland systems is therefore crucial for enhancing grain production, particularly in countries like China, which supports a significant portion of the world's population with limited cropland resources.</div></div><div><h3>OBJECTIVE</h3><div>This study aims to analyze spatial variability in cropland intensification at the prefectural scale in China from 1980 to 2018. It further reveals the spatial-temporal changes of the cropland management systems by combining cropland-use intensity and spatial variability in cropland intensification. This focuses on the relationship between changes in cropland area and intensification and evaluates their relative contributions to grain production.</div></div><div><h3>METHODS</h3><div>A K-means clustering algorithm was adopted to identify distinct cropland management systems. The LMDI (Logarithmic Mean Divisia Index) method was applied to quantify the contribution of changes in cropland area and intensification to grain production.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The results indicate a sharp rise in agricultural input intensity, particularly pesticide and fertilizer, alongside a notable decline in time investment by laborers. Six distinct cropland management systems were identified, with Type 1 and Type 3 being the most prevalent. Type 1, predominantly observed in the northeast and northwest, exhibited low initial intensity with a slight input growth and a minor time investment decrease. Type 3, concentrated in the south, demonstrated stable input increases accompanied by a moderate drop in time investment. Furthermore, expansion of cropland area and intensification co-occur in 58 % of the prefectures. Intensification drove 79 % of grain production growth, yet with clear spatial disparities: large gains in northeastern and central prefectures contrasted with declines in southeastern coastal areas due to cropland loss. The study underscores the pivotal role of cropland intensification in enhancing grain production. These findings advocate for targeted, region-specific strategies to support sustainable intensification and labor-saving technologies, thereby ensuring long-term food security amid urbanization and rising labor costs.</div></div><div><h3>SIGNIFICANCES</h3><div>This study offers a novel, long-term analysis of cropland system dynamics in China—integrating cropland intensification and area changes—at a fine spatial scale and examines their collective impact on grain production. The study not only helps to understand that production can be increased through area expansion or intensification, but also to understand which pathway dominates where, to what degree, and in what combination. The study provides critical insights for policymakers and stakeholders, contributing to the discou
全球粮食安全仍然是一个紧迫的问题,城市化、气候变化和土壤退化加剧了食物不良率的上升。因此,了解耕地系统的动态对于提高粮食生产至关重要,特别是在中国这样的国家,因为中国以有限的耕地资源养活了世界上很大一部分人口。目的分析1980 - 2018年中国地级尺度耕地集约化的空间变异性。结合耕地利用强度和耕地集约化的空间变异性,进一步揭示了耕地管理制度的时空变化。重点研究耕地面积变化与集约化之间的关系,并评估它们对粮食生产的相对贡献。方法采用k均值聚类算法识别不同的耕地管理制度。采用对数平均划分指数(LMDI)方法量化耕地面积和集约化变化对粮食生产的贡献。结果与结论农业投入强度,特别是农药和化肥投入强度急剧上升,劳动力投入时间明显减少。确定了6种不同的耕地管理制度,其中类型1和类型3最为普遍。类型1主要分布在东北和西北,初始强度较低,投入略有增加,时间投入略有减少。类型3,集中在南方,表现出稳定的投入增加伴随着时间投入的适度下降。此外,耕地面积的扩大和集约化在58%的县同时发生。集约化推动了79%的粮食产量增长,但存在明显的空间差异:东北和中部地区的粮食产量大幅增长,而东南沿海地区由于耕地减少而产量下降。该研究强调了农田集约化在提高粮食生产中的关键作用。这些研究结果提倡制定有针对性的区域战略,支持可持续集约化和节省劳动力的技术,从而在城市化和劳动力成本上升的情况下确保长期粮食安全。本研究提供了一种新颖的、长期的中国耕地系统动态分析,将耕地集约化和面积变化结合起来,在精细的空间尺度上,考察了它们对粮食生产的集体影响。该研究不仅有助于理解通过面积扩张或集约化可以增加产量,而且有助于理解哪条途径在何处、在何种程度上以及在何种组合中占主导地位。该研究为政策制定者和利益攸关方提供了重要见解,促进了关于可持续农业实践和国家粮食安全的讨论。
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引用次数: 0
Agrivoltaic systems: Trade-offs on microclimate, physiology, yield and canopy thermal-spectral maps 农业发电系统:在小气候、生理、产量和冠层热光谱图上的权衡
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-25 DOI: 10.1016/j.agsy.2025.104557
Maryam Rahimi Jahangirlou , Johannes Wilhelmus Maria Pullens , Magnus Kamau Katana Lindhardt , Yannick Valentin El Khoury , Vita Antoniuk , Kiril Manevski , Carl-Otto Ottosen , Uffe Jørgensen

CONTEXT

Competition between solar energy deployment and cropland use is intensifying. Agrivoltaics (APV), which co-produces food and electricity, modifies the microclimate between panels, influencing plant physiology, yield, and quality. Comparative field-scale evidence across different PV configurations and crops is required to optimize APV design for both productivity and resilience.

OBJECTIVE

To evaluate how APV-induced microclimate alters crop physiology, canopy traits, yield, and quality over two years, with interannual weather variability and to determine system- and crop-specific responses that inform climate-smart APV design.

METHODS

Two bifacial APV systems (25° south-tilted and vertical east–west) were compared with an open-field reference in rotations of winter wheat, grass–clover, and soybean in a temperate climate. Measurements stratified by panel-relative zones (shaded, semi-shaded, open) included: (i) microclimate (air temperature, humidity, wind speed) used to derive VPD and ET₀; (ii) leaf traits (temperature, stomatal conductance, Fv/Fm) at key growth stages; (iii) UAV-based thermal multispectral maps (NDVI, surface temperature); (iv) yield and quality at harvest.

RESULTS AND CONCLUSIONS

Grass–clover biomass was consistently higher between vertical panels (5.8 and 14.8 t/ha in 2023 and 2024) than between tilted panels (4.3 and 14.0 t/ha, p < 0.01), and comparable to open field. Wheat yields were similar across treatments in the dry year 2023 (3.7–4.7 t/ha), but declined between panels in the wet year 2024 (6.0–6.2 vs 7.0–7.1 t/ha in reference). However, wheat quality improved under APV in both years: grain protein (9.5–9.8 % vs 8.1 %) and gluten (17–18 % vs 15–16 %, p < 0.01). Soybean yields were reduced in APV zones (3.25–3.50 vs 4.91 t/ha, p < 0.01), although dry matter content remained ∼35 %. APV reduced mean wind speed (vertical 1.19, tilted 1.58 vs reference 2.17 m/s) and ET₀, and lowered canopy/leaf temperatures while increasing Fv/Fm. NDVI and thermal maps partly reflected these physiological patterns. Responses varied with interannual weather: APV conferred greater shelter benefits in the dry year, particularly in the vertical system.

SIGNIFICANCE

By linking leaf-level physiology to canopy and landscape indicators, this framework enables systematic APV assessment across weather conditions and designs. Findings highlight vertical APV as a promising configuration for stabilizing yields under drought, supporting evidence-based decisions for land-efficient, climate-resilient food–energy systems.
太阳能部署和耕地利用之间的竞争正在加剧。农业发电(APV),联合生产粮食和电力,改变面板之间的小气候,影响植物生理,产量和质量。需要在不同PV配置和作物之间比较田间规模的证据,以优化APV的生产力和弹性设计。目的评估APV诱导的小气候如何在两年内改变作物生理、冠层性状、产量和质量,以及年际天气变化,并确定系统和作物的特定响应,为气候智能型APV设计提供信息。方法在温带气候条件下,以冬小麦、草三叶草和大豆轮作为对照,采用南向倾斜25°和东西向垂直的2个双面APV系统进行比较。按面板相对区域(阴影、半阴影、开放)分层的测量包括:(i)微气候(空气温度、湿度、风速),用于推导VPD和ET 0;(ii)关键生育期叶片性状(温度、气孔导度、Fv/Fm);(iii)基于无人机的热多光谱图(NDVI,地表温度);(四)收获时的产量和质量。结果与结论垂直板间草三叶草生物量(2023年和2024年分别为5.8和14.8 t/ha)持续高于倾斜板间(4.3和14.0 t/ha, p < 0.01),与开阔地相当。在2023年干旱年份,不同处理的小麦产量相似(3.7-4.7吨/公顷),但在2024年湿润年份,不同处理的小麦产量有所下降(6.0-6.2吨/公顷vs参考值7.0-7.1吨/公顷)。然而,在APV下,小麦品质在两年内均有所改善:籽粒蛋白质(9.5 - 9.8% vs 8.1%)和面筋(17 - 18% vs 15 - 16%, p < 0.01)。APV区大豆产量降低(3.25-3.50 vs 4.91 t/公顷,p < 0.01),但干物质含量保持在35%左右。APV降低了平均风速(垂直风速为1.19,倾斜风速为1.58,参考风速为2.17 m/s)和ET 0,降低了冠层/叶片温度,同时增加了Fv/Fm。NDVI和热图部分反映了这些生理模式。响应因年际天气而异:APV在干旱年提供更大的庇护效益,特别是在垂直系统中。通过将叶片生理学与冠层和景观指标联系起来,该框架能够跨天气条件和设计进行系统的APV评估。研究结果强调,垂直APV是干旱条件下稳定产量的一种有希望的配置,支持基于证据的土地高效、气候适应型粮食能源系统决策。
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引用次数: 0
Sowing the seeds for international cooperation: The Dutch diamond in action 播下国际合作的种子:行动中的荷兰钻石
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-26 DOI: 10.1016/j.agsy.2025.104571
Melle Leenstra , Fleur Kilwinger

CONTEXT

The Netherlands has a long-standing presence and influence in the international seed sector. Through partnership initiatives, diverse stakeholders are committed to leveraging Dutch know-how and fostering international cooperation to transform the seed sector in African countries. This effort is viewed as a key contribution of the Netherlands to global food and nutrition security rooted in the collaborative model known as the “Dutch diamond,” which brings together research, policy, business, and civil society. However, international cooperation is ultimately a human endeavour, where policy priorities, funding decisions, and staffing are influenced by both human agency and external circumstances.

OBJECTIVE

This paper examines narratives surrounding Dutch international cooperation in the seed sector with a focus on the human factor, such as personal ambitions, motivations, values, experiences, opportunity, social ties and serendipity.

METHOD

Based on key informant interviews, this paper traces the life histories of nine key actors who have driven cooperation in Dutch efforts for international seed sector development. These actors were purposively selected due to their central, influential, and connective roles. Using concepts of Actor Network Theory we analysed the interviews to describe how these key actors became part of the Dutch seed sector development network, how they were shaped by this network, and how they shaped it.

RESULTS AND DISCUSSION

Our findings show that change in international seed sector development emerged through a dynamic interplay of serendipitous encounters and deliberate interventions. Beyond more formalized collaboration structures, friendship, trust, and mutual understanding—often built through shared experiences and knowledge exchange—played an important role in translating seed system approaches. Alumni acted as boundary-spanning actors, moving knowledge between policy, research, and practice. Together, these dynamics illustrate how bonding and bridging enabled the adaptation and circulation of seed system development approaches across diverse contexts.

SIGNIFICANCE

This study contributes to wider debates on innovation and international development cooperation by showing how seed sector development approaches and networks are shaped. While the findings reflect a Dutch perspective, they underline the importance of engaging African viewpoints and knowledge systems to move toward more equitable forms of cooperation.
荷兰在国际种子领域有着长期的存在和影响力。通过伙伴关系倡议,各利益攸关方致力于利用荷兰的专门知识,促进国际合作,以改变非洲国家的种子部门。这一努力被视为荷兰对全球粮食和营养安全的重要贡献,它植根于被称为“荷兰钻石”的合作模式,将研究、政策、商业和公民社会结合在一起。然而,国际合作最终是一项人的努力,其中的政策优先事项、供资决定和人员配备都受到人的机构和外部环境的影响。本文考察了荷兰在种子领域的国际合作,重点关注人的因素,如个人抱负、动机、价值观、经验、机会、社会关系和意外发现。方法基于对关键信息者的访谈,本文追溯了推动荷兰国际种子部门发展合作的九位关键行动者的生活史。这些演员是有目的的选择,因为他们的核心,有影响力和联系的角色。使用行动者网络理论的概念,我们分析了访谈,以描述这些关键行动者如何成为荷兰种子部门发展网络的一部分,他们是如何被这个网络塑造的,以及他们是如何塑造它的。结果和讨论我们的研究结果表明,国际种子部门发展的变化是通过偶遇和刻意干预的动态相互作用而出现的。除了更正式的合作结构之外,友谊、信任和相互理解——通常是通过分享经验和知识交流建立起来的——在种子系统方法的翻译中发挥了重要作用。校友们扮演着跨界演员的角色,在政策、研究和实践之间传递知识。总之,这些动态说明了结合和桥接如何使种子系统开发方法在不同背景下适应和循环。本研究通过展示种子部门发展方法和网络是如何形成的,有助于就创新和国际发展合作展开更广泛的辩论。虽然调查结果反映了荷兰的观点,但它们强调了让非洲的观点和知识体系参与进来,以实现更公平的合作形式的重要性。
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引用次数: 0
Corrigendum to ‘Evaluating the economic and environmental benefits of rice-soybean diversification in South Korea’ [Agricultural Systems 224 (2025) 104258] “评估韩国水稻-大豆多样化的经济和环境效益”的勘误表[农业系统224 (2025)104258]
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-09-25 DOI: 10.1016/j.agsy.2025.104513
Seojin Cho , Heeyeun Yoon
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引用次数: 0
Identifying the coupling coordination relationship between new-type urbanization and cultivated land use transition and its impact mechanism—A case study of the middle and lower reaches of the Yellow River in China 新型城镇化与耕地利用转型的耦合协调关系及其影响机制——以黄河中下游地区为例
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-24 DOI: 10.1016/j.agsy.2025.104568
Longbo Ma , Qian Wang , Xiaoming Tan , Yaru Chen , Wenbin Jiang

CONTEXT

The sustainable management of cultivated land resources is essential for attaining the United Nations Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger) and SDG 15 (Life on Land). Rapid urbanization has posed significant challenges to cultivated land systems. Therefore, understanding the interaction mechanisms between new-type urbanization (NTU) and cultivated land use transition (CLUT) is vital for addressing resource constraints and promoting coordinated development of human and land systems.

OBJECTIVE

This study analyzes the evolution of the coupling coordination degree (CCD) between NTU and CLUT in the Middle and Lower Reaches of the Yellow River region. It aims to identify key problematic areas and uncover the underlying factors driving their interaction.

METHODS

The study utilizes the entropy weight method and linear weighting approach to assess NTU and CLUT levels. A coupling coordination degree model (CCDM) is employed to quantify their relationship, complemented by a geographic detector analysis to identify primary drivers influencing the CCD.

RESULTS AND CONCLUSIONS

The results indicate that: (1) The NTU index increased from 0.26 in 2005 to 0.46 in 2020, displaying notable spatial and temporal heterogeneity characterized by higher levels in the southeast, moderate levels in the northwest, and lower levels centrally. Conversely, CLUT levels saw a modest rise from 0.37 to 0.41, with higher values concentrated mainly in inland cities of Shandong and Henan provinces. (2) The CCD improved from 0.55 to 0.65, following a pattern of rapid growth initially, then stabilization, with evident spatial clustering and limited inter-city disparities. (3) Diagnostic analysis identified over 15 areas with problematic coordination between 2005 and 2020, primarily along the middle reaches of the Yellow River, where CLUT lagged behind. (4) The CCD is influenced by a combination of economic, social, and governmental factors, with economic drivers—such as industrial clustering, fiscal investment, and infrastructure development—exerting the strongest effects. Interaction effects between two factors generally demonstrated greater influence than individual factors alone.
Significance: The Middle and Lower Reaches of the Yellow River serve as a representative region for understanding regional disparities, offering valuable insights into the key drivers of unbalanced development and strategies for achieving coordinated progress—lessons that are applicable to similar regions globally.
耕地资源的可持续管理对于实现联合国可持续发展目标(SDG)至关重要,特别是可持续发展目标2(零饥饿)和可持续发展目标15(陆地上的生命)。快速城市化给耕地系统带来了重大挑战。因此,了解新型城镇化与耕地利用转型的互动机制,对于解决资源约束问题,促进人地系统协调发展具有重要意义。目的分析黄河中下游地区NTU与CLUT耦合协调度(CCD)的演变规律。它旨在确定关键的问题区域,并揭示驱动它们相互作用的潜在因素。方法采用熵权法和线性加权法对NTU和CLUT水平进行评价。采用耦合协调度模型(CCDM)量化二者之间的关系,并辅以地理探测器分析来确定影响CCD的主要驱动因素。结果与结论:(1)南水北调NTU指数由2005年的0.26上升至2020年的0.46,呈现出东南较高、西北中等、中部较低的时空异质性;相反,CLUT水平从0.37小幅上升到0.41,较高的数值主要集中在山东和河南等省份的内陆城市。②CCD从0.55提高到0.65,呈现先快速增长后稳定的格局,具有明显的空间集聚性和有限的城市间差异。(3)诊断分析发现,2005 - 2020年,黄河中游地区协调存在问题的地区超过15个,而长江中游地区的协调性较差。(4)区域生态平衡失调受经济、社会和政府因素的综合影响,其中产业集聚、财政投资和基础设施建设等经济驱动因素的影响最大。两个因素之间的相互作用通常比单个因素的影响更大。意义:黄河中下游地区是理解区域差异的代表性地区,为不平衡发展的关键驱动因素和实现协调发展的战略提供了有价值的见解,这些经验教训适用于全球类似地区。
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引用次数: 0
FarmLCA: A novel approach to assess agroecological innovations in Life Cycle Assessment FarmLCA:生命周期评估中农业生态创新的新方法
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-25 DOI: 10.1016/j.agsy.2025.104560
Simon Moakes , Philipp Oggiano , Jan Landert , Catherine Pfeifer , Laura de Baan
<div><h3>Context</h3><div>Agroecological innovations are seen as solutions to reduce environmental impacts of agriculture but can potentially lead to trade-offs with food production. Appropriate tools are needed to better understand synergies and trade-offs among environmental issues, resource efficiency and food production.</div></div><div><h3>Objective</h3><div>This study presents the FarmLCA tool, which models farms as interconnected crop-livestock systems and assesses environmental impacts from farms and farm-inputs. A mixed beef farm serves as case study to assess synergies and trade-offs of avoiding human edible feed in beef production.</div></div><div><h3>Methods</h3><div>FarmLCA allows the calculation of cradle-to-farm gate life cycle assessments (LCA). Emissions of environmentally harmful substances from crops and livestock are modelled based on the farm management. Upstream impacts from imported inputs (including fertilizer or feed) are accounted for with life cycle inventory data. Yields and nutrient requirements are checked for plausibility, based on management handbooks, while manure availability and composition are calculated based on livestock production. Environmental impacts, nutrient use efficiency and food production for a typical mixed beef farm in Scotland were calculated (<em>baseline</em>) and compared to alternative farm management scenarios: a <em>Feed-no-Food</em> scenario, avoiding concentrate feeds resulting in a smaller herd size and a <em>circular Feed-no-Food</em> scenario, additionally optimizing productivity and synergies between crop and livestock (e.g. more legumes in crop rotation, reduced replacement rate and feed waste).</div></div><div><h3>Results and conclusions</h3><div>In the <em>Feed-no-Food</em> scenario, the beef production was reduced by 25 %, but more calories and protein were produced overall due to cereal and legumes now being available for direct human consumption. However, slower growth of livestock led to increased environmental impact of beef, whilst reduced livestock numbers required more mineral fertilizer for crop production to replace on-farm manure. In the <em>circular Feed-no-Food</em> scenario, beef and overall calorie production were slightly reduced compared to the baseline, but 1.5 more high quality protein (expressed by the Digestible Indispensable Amino Acid Score, DIAAS), were produced. Environmental impacts of beef were reduced and nitrogen self-sufficiency improved due to increased legume share in the rotation.</div></div><div><h3>Significance</h3><div>Existing LCA approaches often fail to capture the complex dynamics of integrated crop-livestock systems and agroecological practices. FarmLCA addresses this by modelling both on-farm processes and upstream inputs, enabling a consistent assessment of environmental impacts, nutrient use efficiency, and food production. It offers a more holistic and systemic view of the consequences of agroecological innovations and enables the identi
农业生态创新被视为减少农业对环境影响的解决方案,但可能导致与粮食生产的权衡。需要适当的工具来更好地了解环境问题、资源效率和粮食生产之间的协同作用和权衡。本研究提出了FarmLCA工具,该工具将农场作为相互关联的作物-牲畜系统进行建模,并评估农场和农场投入对环境的影响。一个混合牛肉农场作为案例研究,以评估在牛肉生产中避免人类食用饲料的协同效应和权衡。方法farmlca允许计算从摇篮到农场的生命周期评估(LCA)。农作物和牲畜对环境有害物质的排放以农场管理为基础进行建模。进口投入品(包括肥料或饲料)的上游影响用生命周期清单数据加以说明。根据管理手册检查产量和养分需求的合理性,同时根据牲畜生产计算粪便的可用性和组成。对苏格兰一个典型混合牛肉养殖场的环境影响、养分利用效率和粮食产量进行了计算(基线),并与其他农场管理方案进行了比较:无饲料方案,避免了精料饲料,导致畜群规模较小;循环无饲料方案,另外优化了作物和牲畜之间的生产力和协同效应(例如,轮作中增加豆类作物,降低了替代率和饲料浪费)。结果和结论在无饲料情景中,牛肉产量减少了25%,但由于谷物和豆类现在可供人类直接食用,因此总体上产生了更多的卡路里和蛋白质。然而,牲畜增长放缓导致牛肉对环境的影响增加,同时牲畜数量减少需要更多的矿物肥料用于作物生产,以取代农场粪便。在循环无饲料情景中,与基线相比,牛肉和总热量产量略有减少,但高质量蛋白质(由可消化的必需氨基酸评分,DIAAS表示)的产量增加了1.5。由于轮作中豆类的比例增加,减少了牛肉对环境的影响,提高了氮的自给自足。现有的LCA方法往往无法捕捉作物-牲畜综合系统和农业生态实践的复杂动态。FarmLCA通过对农场过程和上游投入进行建模来解决这一问题,从而能够对环境影响、养分利用效率和粮食生产进行一致的评估。它对农业生态创新的后果提供了更全面和系统的看法,并能够确定环境保护、资源效率和粮食生产之间的协同作用和权衡。
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引用次数: 0
A meta-analysis on the impact of trees on yield of intercrops in alley-cropping systems of temperate climates 温带旱作系统树木对间作产量影响的meta分析
IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Pub Date : 2026-02-01 Epub Date: 2025-11-28 DOI: 10.1016/j.agsy.2025.104578
Anna Panozzo , Paul Quataert , Tom De Swaef , Paul Pardon , Teofilo Vamerali , Kris Verheyen , Bert Reubens

CONTEXT

The environmental benefits of agroforestry have been highlighted worldwide, although improved intercrop productivity has been clearly demonstrated only in the tropics.

OBJECTIVE AND METHODS

This meta-analysis aimed at summarizing knowledge from 18 trials on grain yield of arable intercrops in alley-cropping systems of temperate climates, within a mixed-effect model framework.

RESULTS AND CONCLUSIONS

A general negative impact of trees on crop grain yield was documented, with an average reduction by 30 % compared to full sun, across the whole inter-row of wheat, barley, soybean and maize. Key findings included: (i) distance from trees is the major driver of the grain yield response, with increasing impact in the vicinity of the tree row, (ii) significance of crop phenology and species choice, with lower impact on winter vs. summer crops; (iii) tree age is the only relevant variable of the woody component, with increasing impact with aging; and (iv) available rainfall and potential evapotranspiration are key moderators, with a less detrimental or positive impact of trees under low rainfall and high evapotranspiration. This study also describes the implications of some tree design and management practices: (i) branchless tree rows allows for halving the alley width where crop yield is negatively affected by the tree line compared to a hedgerow, (ii) crop yield recovers at distances (D) from the tree row at which D/tree heigh approaches 1, this suggesting the interrow should be at least twice the maximum height of trees, (iii) intercrop should be varied across the tree cycle, by cultivating high shade-tolerant species/varieties when the tree age is >8 years.

SIGNIFICANCE

This meta-analysis underscores the need for further empirical studies on other intercrops and within climatic zones where limited data is currently available.
农林业的环境效益已在世界范围内得到强调,尽管只有在热带地区才清楚地证明了间作生产力的提高。目的与方法本meta分析旨在总结在混合效应模型框架下,在温带气候的旱作系统中18项间作试验的粮食产量。结果与结论在小麦、大麦、大豆和玉米的整个行间,树木对作物产量产生了普遍的负面影响,与全光照相比,平均降低了30%。主要发现包括:(1)与树木的距离是粮食产量响应的主要驱动因素,在树行附近的影响越来越大;(2)作物物候和物种选择的重要性,对冬季作物的影响低于夏季作物;(iii)树龄是木本成分的唯一相关变量,其影响随着树龄的增长而增加;有效降雨量和潜在蒸散量是关键的调节因子,在低降雨量和高蒸散量条件下,树木的不利影响或积极影响较小。本研究亦描述了一些树木设计和管理措施的影响:(i)与树篱相比,无枝树行可以使作物产量受到树线负面影响的巷道宽度减少一半,(ii)作物产量在距离树行(D) D/树高接近1时恢复,这表明行间应至少是树木最高高度的两倍,(iii)间作应在整个树木周期内变化,通过培养树龄为8年的高耐阴物种/品种。这一荟萃分析强调了对其他间作和气候带进行进一步实证研究的必要性,目前这些数据有限。
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引用次数: 0
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Agricultural Systems
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