[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2569":3,"related-2569":88},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":44,"search_phrases":82,"slug":85,"view_count":86,"doi":8,"paper":8,"created_at":87},2569,"江苏省农业科学院 经作所玉米大豆带状种植增产减排取得新进展","https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fxsky\u002Fart\u002F2026\u002Fart_a7782c6b7622405b860ca117804e97f9.html","李志康和高真真为European Journal of Agronomy期刊论文第一作者，李志康和张国伟为Journal of Agriculture and Food Research论文第一作者，刘瑞显研究员为通讯作者。研究得到国家自然科学基金(32401437)、国家重点研发计划(2022YFD2300904)、江苏省重点研发计划(BE2023346)及江苏省现代作物生产省部共建协同创新中心支持。",null,"近日，经作所经作栽培团队在国际期刊《European Journal of Agronomy》（中科院一区Top，IF=6.7）和《Journal of Agriculture and Food Research》（中科院二区，IF=7.2）上连续发表研究成果，系统揭示了大豆玉米带状间作结合秸秆深埋还田通过调控土壤铁碳氮耦合过程实现作物增产与N₂O减排的新机制。\n\n大豆玉米带状复合种植是我国提升大豆产能的重点推广技术。团队在江苏连云港和徐州开展两年田间试验，设置单作与4:4带状间作，并对比不还田、旋耕还田和条带深埋（20–30厘米）三种方式。结果表明，间作本身土地当量比达1.23，增产23%；秸秆深埋使系统产量再提升16.1%，并将边行大豆减产幅度从15.4%降至8.75%。\n\n研究从碳氮动态与铁价态变化揭示内在机制。土壤有机碳在大豆结荚期和玉米抽雄期达峰值，灌浆阶段下降，真菌残体碳因与铁氧化物结合力强，在长期碳封存中贡献突出。铁价态变化成为N₂O排放的关键“开关”：生殖生长阶段，秸秆深埋使土壤Fe(II)含量飙升68.7%，Fe(II)\u002FFe(III)比值暴涨112%，通过厌氧亚铁氧化过程加速N₂O向N₂转化，使N₂O排放降低超55%，全球增温潜势降低超20%，排放强度降低超60%。微生物层面，秸秆深埋选择性富集功能菌群，大豆侧碳流向真菌残体碳，玉米侧同时促进微生物和植物残体碳积累，共同支撑系统碳汇功能。\n\n基于上述发现，研究团队提出实践建议：在黄淮海南部地区黏质或砂壤质土壤条件下，建议将前茬小麦秸秆全量条带深埋至20–30厘米土层，配合4:4大豆玉米带状间作配置。该组合优势在于延缓秸秆分解速率，促进碳素向稳定矿物结合态有机质转化，同时为生殖生长阶段的氮素供应提供了“缓释”保障。\n\n李志康和高真真为European Journal of Agronomy期刊论文第一作者，李志康和张国伟为Journal of Agriculture and Food Research论文第一作者，刘瑞显研究员为通讯作者。研究得到了国家自然科学基金（32401437）、国家重点研发计划（2022YFD2300904）、江苏省重点研发计划（BE2023346）及江苏省现代作物生产省部共建协同创新中心的支持。\n\n![Image 1](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F2092031400\u002Fpicture\u002F20268\u002Fc3fba006c930468a8c6e81bda05421d3.png)\n\n**论文链接**\n\n[1] Li ZK, Gao ZZ, Zhang GW, Jiang ZH, Shu HM, Yang CQ, Du XB, Liu RX.Soybean–maize intercropping and straw returning change soil iron-associated nitrogen dynamics to increase crop yield and reduce N₂O emissions, European Journal of Agronomy, 2006,180:128255. https:\u002F\u002Fdoi.org\u002F[10.1016\u002Fj.eja.2026.128255](https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eja.2026.128255)\n\n[2] Li ZK, Zhang GW, Jiang ZH, Liu K, Shu HM, Yang CQ, Gao ZZ, Du XB, Liu RX. Soybean–maize intercropping with straw deep burial modulates soil organic carbon dynamics to enhance system yield, Journal of Agriculture and Food Research, 2026, 30: 103192. [https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jafr.2026.103192](https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jafr.2026.103192 \"Persistent link using digital object identifier\")","江苏农科院 2026-09","2026-09-12T00:00:00Z","报道",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},20,23,18,14,6,1,"省级科研机构在国际一区期刊发表的大田试验成果，数据翔实、机制清晰，对黄淮海地区大豆产能提升与农业减排具有实践指导价值，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"秸秆还田","大豆玉米带状复合种植","农业减排","土壤固碳","绿色增产",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":52},[50,56,62,67,72,77],{"code":33,"score":51,"supported":52,"title":53,"abstract":54,"tags":55},9,true,[35],[],[28],{"code":40,"score":57,"supported":52,"title":58,"abstract":60,"tags":61},8,[59],"大豆",[],[],{"code":63,"score":22,"supported":14,"title":64,"abstract":65,"tags":66},"H2",[],[],[30],{"code":68,"score":22,"supported":14,"title":69,"abstract":70,"tags":71},"H4",[],[],[29],{"code":73,"score":22,"supported":14,"title":74,"abstract":75,"tags":76},"H5",[],[],[27],{"code":78,"score":22,"supported":14,"title":79,"abstract":80,"tags":81},"H8",[],[],[31],[83,84],"大豆玉米带状复合种植 农业减排 土壤固碳 秸秆还田","大豆玉米带状复合种植 农业减排","大豆玉米带状复合种植农业减排土壤固碳秸秆还田-2569",3,"2026-09-16T00:03:47.300752Z",{"total":21,"page":22,"page_size":21,"items":89},[90,188,232,294,364,439],{"id":91,"title":92,"url":93,"summary":94,"summary_zh":95,"content":8,"source_name":96,"source_url":93,"published_at":97,"category":98,"cover_url":8,"hotness":13,"is_selected":14,"score":99,"score_detail":100,"sources":104,"tags":106,"primary_topic":111,"secondary_topics":112,"classification":119,"search_phrases":154,"slug":157,"view_count":158,"doi":159,"paper":160,"created_at":187},2501,"Numerical analysis of droplet deposition and drift patterns for multi-rotor UAVs in soybean-maize strip intercropping system","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112407","Numerical analysis of droplet deposition and drift patterns for multi-rotor UAVs in soybean-maize strip intercropping system。Computers and Electronics in Agriculture","多旋翼无人机在大豆-玉米带状间作系统中的雾滴沉积与飘移模式数值分析。","Computers and Electronics in Agriculture","2026-09-14T00:00:00Z","论文",69,{"impact":101,"substance":19,"depth":102,"authority":20,"freshness":57,"relevant":22,"comment":103},12,17,"核心期刊论文，用数值模拟揭示多旋翼无人机在大豆玉米带状复合种植中的雾滴沉积与飘移规律，方法新颖、结论对精准植保有参考价值，但属细分技术进展，公共影响有限。",[105],{"name":96,"url":93},[107,108,109,28,110],"智慧农业","农业遥感","精准施药","植保无人机",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[113,114],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"code":115,"slug":116,"name":117,"path":118,"parent_code":37},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping",{"status":45,"locked":14,"version":46,"method":47,"evidence":120},{"candidates":121,"agricultural_evidence":52},[122,127,132,138,144,149],{"code":33,"score":123,"supported":52,"title":124,"abstract":125,"tags":126},15,[34],[35,34],[28],{"code":40,"score":20,"supported":52,"title":128,"abstract":130,"tags":131},[129],"soybean",[59,129],[],{"code":115,"score":20,"supported":52,"title":133,"abstract":135,"tags":137},[134],"intercropping",[136,134],"间作",[],{"code":139,"score":140,"supported":14,"title":141,"abstract":142,"tags":143},"F4",2,[],[],[110,109],{"code":145,"score":22,"supported":14,"title":146,"abstract":147,"tags":148},"I1",[],[],[107],{"code":150,"score":22,"supported":14,"title":151,"abstract":152,"tags":153},"I3",[],[],[108],[155,156],"大豆玉米带状复合种植 植保无人机 农业遥感 智慧农业","大豆玉米带状复合种植 植保无人机","大豆玉米带状复合种植植保无人机农业遥感智慧农业-2501",4,"10.1016\u002Fj.compag.2026.112407",{"doi":159,"openalex_id":161,"authors":162,"venue":96,"cited_by_count":179,"oa_url":8,"card":180,"direction":184,"ingested_from":186},"W7212969118",[163,165,167,169,171,174,177],{"name":164,"orcid":8},"Xinghua Liu",{"name":166,"orcid":8},"Lei Yang",{"name":168,"orcid":8},"Zhi Li",{"name":170,"orcid":8},"Yang Li",{"name":172,"orcid":173},"Qiaolin Chen","https:\u002F\u002Forcid.org\u002F0000-0002-3878-0001",{"name":175,"orcid":176},"Yanping Tian","https:\u002F\u002Forcid.org\u002F0000-0003-4303-6524",{"name":178,"orcid":8},"Xiang-Dong Li",0,{"tldr":181,"method":182,"finding":183,"direction":184,"opportunity":185},"用数值模拟分析多旋翼无人机在大豆-玉米带状间作系统中的雾滴沉积与飘移规律。","基于CFD数值模拟，结合多旋翼无人机下洗气流与作物冠层结构建模。","揭示了间作系统下无人机喷雾沉积分布与飘移特征，为精准施药提供依据。","智慧农业 \u002F 农业物联网","可结合田间实测与机器学习，构建间作系统无人机变量喷雾决策模型。","openalex","2026-09-15T23:30:01.587453Z",{"id":189,"title":190,"url":191,"summary":192,"summary_zh":8,"content":193,"source_name":194,"source_url":8,"published_at":195,"category":98,"cover_url":8,"hotness":13,"is_selected":14,"score":196,"score_detail":197,"sources":200,"tags":202,"primary_topic":207,"secondary_topics":208,"classification":211,"search_phrases":227,"slug":230,"view_count":158,"doi":8,"paper":8,"created_at":231},790,"基于处方图的变量喷药系统设计与试验(大豆-玉米带状复合种植):实时处方图解析、时空喷嘴匹配与延时补偿(原标题:Design and Experiment of a Prescription-Map-Based Variable-Rate Spraying System for Soybean-Maize Strip Intercropping)","https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784","为满足大豆-玉米带状复合种植中差异化施药需求,本研究开发了基于实时处方图解析、时空喷嘴匹配与延时补偿的带状变量喷药系统。使用ArcMap生成具有预定施药量级别的模拟处方图,基于高精度RTK-BDS定位建立田间坐标转换模型并结合SRAM预加载实现快速处方矩阵寻址;开发喷嘴空间位置预测模型与前向延时补偿控制算法,减少动态作业中由定位偏移、执行器响应滞后和液压延迟引起的边界错位。带状变量喷药试验中延时补偿后平均边界偏移由0.69米降至0.29米;大豆与玉米带不同施药量级下平均流量控制精度均超95%,流量变异系数均低于6%。","## 1. Introduction\n\nMaize and soybean are globally important food, feed, and oilseed crops, playing vital roles in ensuring food security, supporting livestock production, and facilitating agricultural processing and utilization. Over time, maize–soybean cropping systems have been continuously optimized [[1](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B1-agriculture-16-01784),[2](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B2-agriculture-16-01784),[3](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B3-agriculture-16-01784),[4](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B4-agriculture-16-01784)]. Soybean–maize strip intercropping optimizes the spatial arrangement of the two crops, enabling stable maize production while expanding soybean cultivation, thereby improving land-use efficiency and promoting coordinated grain and oilseed production [[5](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B5-agriculture-16-01784),[6](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B6-agriculture-16-01784),[7](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B7-agriculture-16-01784)]. However, soybean and maize differ markedly in inter-row canopy structure, crop-protection requirements, and herbicide tolerance, making conventional large-scale uniform spraying prone to crop injury and missed applications [[8](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B8-agriculture-16-01784),[9](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B9-agriculture-16-01784)]. Prescription-map-based variable-rate spraying enables real-time adjustment of application rates according to field weed distribution, crop growth status, and machinery operating parameters, providing an important approach to advancing precision crop protection [[10](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B10-agriculture-16-01784),[11](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B11-agriculture-16-01784),[12](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B12-agriculture-16-01784)].\n\nWith the development of precision agriculture, variable-rate pesticide application has become an important research direction in agricultural engineering. In recent years, it has attracted extensive attention from researchers worldwide and has gradually emerged as a research hotspot [[13](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B13-agriculture-16-01784),[14](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B14-agriculture-16-01784),[15](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B15-agriculture-16-01784),[16](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B16-agriculture-16-01784)].\n\nExisting studies show that variable-rate pesticide application has achieved clear progress in prescription map generation, remote-sensing image recognition, spray actuator control, and improvement of application effectiveness [[17](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B17-agriculture-16-01784)]. Hamouz et al. constructed field-zoned application maps, and their experiments showed that site-specific weed control reduced herbicide use by 15.6–100% compared with conventional whole-field uniform herbicide application [[18](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B18-agriculture-16-01784)]. With advances in remote sensing and aerial operation technologies, prescription map generation has gradually expanded from traditional manual sampling and grid surveys to airborne platforms, unmanned aerial vehicles, and multispectral image recognition. Yang et al. integrated an airborne multispectral imaging system to generate prescription maps and used the imaging system to evaluate post-application effects [[19](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B19-agriculture-16-01784)]. Campos et al. used an unmanned aerial vehicle equipped with a multispectral camera to acquire crop canopy information for prescription-map generation and conducted field evaluations of prescription-map-based variable-rate spraying [[20](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B20-agriculture-16-01784)]. Guan et al. reviewed advances in variable-rate spraying from two perspectives: information acquisition based on prescription maps or real-time sensors, and three variable-rate control strategies involving pressure regulation, direct injection, and pulse-width modulation [[21](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B21-agriculture-16-01784)]. Yin et al. developed an indoor prescription-map-based variable-rate herbicide spraying system, in which weed images were acquired to generate prescription maps, and precise targeted spraying was achieved by selectively controlling individual nozzles [[22](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B22-agriculture-16-01784)]. Abioye et al. developed a deep-learning-guided variable-rate spraying robot that integrates visual perception and deep learning for target plant identification, enabling targeted and variable-rate spraying and providing a new approach to integrating prescription maps, machine vision, and robotic actuation [[23](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B23-agriculture-16-01784)].\n\nDespite substantial advances in variable-rate spraying, offline prescription-map-based application still involves time-consuming preparatory steps, including data acquisition, processing, and prescription map generation [[10](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B10-agriculture-16-01784)]. During dynamic field operations, the microcontroller must continuously parse positioning data, perform spatial matching, and retrieve prescription values, placing stringent real-time demands on online prescription map interpretation under limited computational and memory resources [[24](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B24-agriculture-16-01784)]. Moreover, inherent response delays from control-command output to solenoid-valve actuation and spray formation can translate into spatial application offsets as the sprayer moves, thereby compromising flow-rate control accuracy [[25](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B25-agriculture-16-01784),[26](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B26-agriculture-16-01784)].\n\nAccordingly, this study developed a variable-rate spraying system for soybean–maize strip intercropping that innovatively integrates fast embedded prescription-matrix addressing, nozzle-level spatial position prediction, and dynamic delay compensation to achieve precise spatiotemporal matching between prescription information and actual spray locations. The main contributions are as follows: A prescription-map-based strip-specific variable-rate spraying system was proposed for soybean–maize strip intercropping, providing technical support for differentiated and potentially more efficient pesticide application; a rapid prescription-map interpretation method was implemented on the embedded controller to enable real-time matching between machine position and target application rate, thereby improving prescription retrieval efficiency; and a prescription map–nozzle matching delay-compensation method was developed and validated through outdoor droplet-deposition, delay-compensation, and strip-specific variable-rate spraying tests, demonstrating the feasibility of the proposed system.\n\n## 2. Materials and Methods\n\n### 2.1. System Architecture\n\n#### 2.1.1. Overall System Design\n\nThe overall design of the strip-specific variable-rate spraying system for soybean–maize strip intercropping is shown in [Figure 1](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#fig_body_display_agriculture-16-01784-f001). Because maize and soybean differ markedly in pesticide tolerance and application requirements, the system adopts two independent pesticide delivery pipelines to enable separate strip-specific application for maize and soybean. To prevent spray liquid from drifting between different crop zones during application, anti-drift nozzles were selected, and cover structures were installed outside the soybean nozzles to reduce the risk of droplet drift.\n\n**Figure 1.** Overall structure of the variable-rate spraying system. 1. water tank; 2. return valve; 3. check valve; 4. maize pesticide tank; 5. peristaltic pump; 6. Venturi injector; 7. pesticide mixer; 8. pressure sensor; 9. flow sensor; 10. high-speed solenoid valve; 11. anti-drift nozzle; 12. shroud; 13. microcontroller; 14. GNSS receiver; 15. water pump; 16. RTK-BDS; 17. soybean pesticide tank.\n\nBefore field operation, strip-specific variable-rate prescription maps are generated on a GIS platform using crop growth information and converted into a format suitable for embedded processing. During operation, the main controller receives real-time RTK-BDS positioning data, calculates the spatial position of each nozzle based on the boom geometry, and retrieves the corresponding target application rate through prescription-map addressing. Flow and pressure sensors in the two independent spray circuits provide real-time feedback, and the controller adjusts the PWM duty cycles of the high-speed solenoid valves according to the deviation between the target and measured flow rates, thereby enabling independent variable-rate application to the maize and soybean strips. In the hydraulic system, the spray solution sequentially passes through the pressure sensor, flow sensor, and high-speed solenoid valve before being delivered to the drift-reducing nozzles, with every three nozzles forming an independent control unit.\n\n#### 2.1.2. Control System Design\n\nSTM32 series microcontrollers are characterized by high performance, low power consumption, and low cost, and are therefore commonly used as core controllers in control systems [[27](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B27-agriculture-16-01784),[28](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B28-agriculture-16-01784),[29](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B29-agriculture-16-01784)]. Based on the prescription map construction and interpretation method described above, together with the variable-rate pesticide application control algorithm, a soybean–maize variable-rate pesticide application control system was designed with an STM32F103ZET6 microcontroller (STMicroelectronics, Geneva, Switzerland) as the core. The system mainly consists of a power supply module, signal acquisition module, main controller module, actuator module, and communication module.\n\nThe overall architecture of the variable-rate spraying control system is shown in [Figure 2](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#fig_body_display_agriculture-16-01784-f002). During operation, the RTK-BDS positioning terminal continuously outputs the sprayer’s longitude, latitude, heading, and travel speed, which are transmitted to the main controller via a serial interface. Using the preloaded prescription-map data and real-time positioning information, the controller performs field-coordinate transformation, grid identification, and prescription-map addressing to determine the target application rate for the current or predicted spray position. Meanwhile, flow-rate and pressure measurements from the two independent spray circuits are fed back to the main controller. An Improved Beetle Antennae Search (IBAS)-optimized Fuzzy-PID controller calculates the control output from the deviation between the target and measured flow rates. The resulting PWM duty cycles are transmitted to the actuator module via the communication bus, enabling independent variable-rate application to the soybean and maize strips.\n\n**Figure 2.** Overall structure of the variable-rate pesticide application control system.\n\nThe system software employs a hybrid task-scheduling architecture that combines a main-loop routine with interrupt-driven processing. Time-critical signals, such as flow-meter pulses, are processed using timer input-capture interrupts. The main loop sequentially performs RTK-BDS positioning updates, nozzle-position calculation and prescription-map addressing, sensor-data processing for the two spray circuits, flow-control computation, and command output. To reduce the computational burden of multichannel actuation on the MCU, the main controller only calculates and updates the PWM duty cycle for each channel, while the actual PWM signals are generated independently by an external multichannel PWM module to drive the high-speed solenoid valves. This architecture reduces the real-time processing load associated with continuous PWM generation on the main controller.\n\nIn terms of hardware, an NZ510G high-precision intelligent positioning terminal (Yanshi Zhikong, Beijing, China) was selected as the GNSS receiver positioning device for the variable-rate spraying system. Spray output was regulated by pulse-width modulation (PWM), whereby the duty cycle of the solenoid valve at each nozzle was adjusted by controlling its opening and closing durations. Consequently, the response speed, corrosion resistance, and operational stability of the solenoid valves directly affect spray-control performance. Considering the field operating environment and the properties of pesticide solutions, normally closed 2WA030-08B solenoid valves (AirTAC (China) Co., Ltd., Ningbo, China) were selected.\n\n### 2.2. Prescription Map Construction\n\n#### 2.2.1. Overview of ArcMap Software\n\nArcMap is a geographic information system software developed by Esri and is one of the major desktop applications of the ArcGIS 10.8.1 platform. ArcMap supports various spatial data formats, including vector data, raster data, and spatial database data, and has been widely applied in geographic information-related fields such as environmental management, urban planning, agricultural monitoring, disaster risk assessment, and emergency management [[30](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B30-agriculture-16-01784),[31](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B31-agriculture-16-01784),[32](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#B32-agriculture-16-01784)].\n\nThe proposed system requires a GIS platform with high spatial accuracy and compatibility with the data structure used by the embedded controller. ArcMap provides coordinate registration, projection transformation, regular grid generation, and attribute-data processing, enabling spatial alignment between prescription maps and RTK positioning data. Regular grids generated using the Fishnet tool facilitate spatial matching and prescription-value retrieval, while attribute data can be exported and converted into binary files for embedded processing. Thus, ArcMap satisfies the system requirements for spatial accuracy, grid-based processing, and data export.\n\n#### 2.2.2. Acquisition of Field Position Information\n\nField position information is a prerequisite for prescription map construction and variable-rate pesticide application control. In this study, a set of simulated prescription map data conforming to the spatial distribution pattern of soybean–maize strips was generated for testing. The dataset included the spatial position information of the operating area and the corresponding prescription values, as shown in [Table 1](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#table_body_display_agriculture-16-01784-t001). These coordinates were used for prescription-map construction.\n\n**Table 1.** Longitude, latitude, and prescription values used for constructing the simulated prescription map.\n\nTo facilitate subsequent prescription map interpretation and invocation by the pesticide application control system, the above data were imported into ArcMap for organization and preprocessing, including spatial extent inspection, attribute field verification, and coordinate reference system unification. Through data preprocessing, the prescription map data and BeiDou positioning information were aligned to a unified spatial reference, and the correspondence between the spatial positions of the operating area and the prescription values was established.\n\nAfter processing, the basic spatial dataset required for subsequent prescription unit division, prescription map construction, and addressing-based matching was obtained, providing data support for real-time prescription retrieval by the variable-rate spraying system.\n\n#### 2.2.3. Prescription Unit Division and Application-Rate Assignment\n\nTo enable the spatial representation of prescription map data and subsequent invocation by the variable-rate spraying system, the original longitude, latitude, and prescription value data of the operating area must be converted into prescription units with spatial position attributes, and the correspondence between prescription units and application rates must be established. The original data used in this study were stored in tabular form and mainly included fields such as longitude, latitude, and the corresponding prescription value.\n\nTo spatially represent the prescription data for subsequent variable-rate spraying, the raw dataset containing longitude, latitude, and prescription values was imported into ArcMap 10.8.1. As shown in [Figure 3](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#fig_body_display_agriculture-16-01784-f003), a prescription-point layer was generated using the Add XY Data function, and the coordinate reference system was standardized to ensure spatial consistency with RTK-BDS positioning data. The resulting event layer was then exported as a vector layer, and the correspondence between spatial locations and prescription values was verified, providing the basis for subsequent prescription-cell delineation, prescription-map generation, and spatial addressing.\n\n**Figure 3.** Generation of the operating-area layer.\n\nAs shown in [Figure 4](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#fig_body_display_agriculture-16-01784-f004), a regular rectangular grid was generated over the operating area using the Fishnet tool in ArcMap. For the 4:2 soybean–maize strip intercropping configuration, the transverse grid resolution, Δx, was set equal to the actual crop-strip width to accurately represent strip-specific application boundaries. Prescription values were then assigned to the corresponding grid cells, establishing a one-to-one correspondence between spatial location and target application rate. Each grid cell therefore contained a unique spatial location and application attribute, representing the target application requirement for the corresponding area.\n\n**Figure 4.** Generation of the regular rectangular grid.\n\n#### 2.2.4. Construction of the Simulated Prescription Map\n\nAfter prescription-cell delineation and assignment of application rates, a prescription map of the operating area was generated to visualize the spatial distribution of application requirements and provide input data for subsequent prescription-map interpretation and variable-rate spraying control. In ArcMap, the operating area was discretized into regular grid cells based on the assigned prescription-cell layer, and the cells were classified according to their prescription values and displayed using different colors to distinguish application-rate levels, as shown in [Figure 5](https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F16\u002F1784#fig_body_display_agriculture-16-01784-f005). The completed prescription map was then visually inspected to verify the prescription-cell delineation and spatial distribution of prescription values, thereby confirming the completeness and consistency of the prescription-map data.\n\n**Figure 5.** Prescription map for soybean–maize strip intercropping.\n\nOn the basis of the visualized prescription map, the structured attribute data of the prescription map must be further exported to meet the requirements of the subsequent prescription map interpretation system for grid identification and rapid addressing. In this study, row number r and column number c fields were established for each grid cell in ArcMap and saved together with the prescription value field, forming an attribute table containing both grid index information and prescription value information. The relevant attribute data were then exported as a .csv file and further converted into a .bin file readable by the microcontroller. Through this process, the visualized prescription map generated in ArcMap was converted in","MDPI Agriculture 16(16):1784 2026-08-20","2026-08-20T00:00:00Z",80,{"impact":19,"substance":198,"depth":19,"authority":20,"freshness":57,"relevant":22,"comment":199},22,"针对大豆-玉米带状复合种植的处方图变量喷药系统研究，方法新颖，数据详实，对精准农业有实质贡献。",[201],{"name":194,"url":191},[203,204,28,205,206],"处方图","MDPI Agriculture","变量喷药","延时补偿",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[209,210],{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"code":115,"slug":116,"name":117,"path":118,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":212},{"candidates":213,"agricultural_evidence":52},[214,218,223],{"code":33,"score":17,"supported":52,"title":215,"abstract":216,"tags":217},[35,34],[35],[28],{"code":40,"score":219,"supported":52,"title":220,"abstract":221,"tags":222},19,[59,129],[59],[],{"code":115,"score":57,"supported":52,"title":224,"abstract":225,"tags":226},[134],[],[],[228,229],"大豆玉米带状复合种植 变量喷药 延时补偿 处方图","大豆玉米带状复合种植 变量喷药","大豆玉米带状复合种植变量喷药延时补偿处方图-790","2026-08-21T00:05:57.531874Z",{"id":233,"title":234,"url":235,"summary":236,"summary_zh":8,"content":8,"source_name":237,"source_url":8,"published_at":238,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":239,"score_detail":240,"sources":243,"tags":245,"primary_topic":249,"secondary_topics":250,"classification":252,"search_phrases":289,"slug":292,"view_count":22,"doi":8,"paper":8,"created_at":293},4953,"安徽全省秋粮收获进度已超七成 玉米收获进入尾声 大豆超九成","https:\u002F\u002Fwww.aaas.org.cn\u002F4303153\u002F71484287.html","10月12日,在太和县税镇镇姚寨村,联合收割机在豆田中穿梭,种植大户李超种植的200亩大豆迎来收获,经测产亩产313.34公斤。太和县副县长、安徽省农科院研究员杜祥备介绍,近年来依托安徽省农科院、阜阳市农科院、国家及省大豆产业技术体系等平台,全面推行增密抗逆栽培、'一拌一封一喷'绿色防控、精量播种、抗灾减灾等关键技术。截至10月12日17时,全省已收秋粮4948万亩、进度76%,投入粮食烘干机11953台、烘干粮食41.5万吨。","《安徽日报》转载 安徽省农业科学院 2026 年 10 月 13 日","2026-10-13T00:00:00Z",64,{"impact":19,"substance":241,"depth":101,"authority":13,"freshness":57,"relevant":22,"comment":242},16,"省级秋收进度与大豆高产实测数据兼具时效与信息增量，但属常规农情通报，深度有限。",[244],{"name":237,"url":235},[35,59,246,247,248],"粮食烘干","秋粮收获","增密抗逆",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[251],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":253},{"candidates":254,"agricultural_evidence":52},[255,259,263,268,273,279,284],{"code":40,"score":101,"supported":52,"title":256,"abstract":257,"tags":258},[59],[59],[59],{"code":33,"score":51,"supported":52,"title":260,"abstract":261,"tags":262},[35],[],[35],{"code":264,"score":86,"supported":52,"title":265,"abstract":266,"tags":267},"E3",[],[246],[],{"code":139,"score":86,"supported":52,"title":269,"abstract":270,"tags":272},[],[271],"绿色防控",[],{"code":274,"score":86,"supported":52,"title":275,"abstract":276,"tags":278},"F5",[],[277],"收割机",[],{"code":280,"score":22,"supported":14,"title":281,"abstract":282,"tags":283},"A8",[],[],[246],{"code":285,"score":22,"supported":14,"title":286,"abstract":287,"tags":288},"J4",[],[],[247],[290,291],"安徽 秋粮 收获进度","太和县 大豆 亩产 313.34公斤","安徽秋粮收获进度-4953","2026-10-15T00:06:03.038238Z",{"id":295,"title":296,"url":297,"summary":298,"summary_zh":8,"content":8,"source_name":299,"source_url":297,"published_at":300,"category":98,"cover_url":8,"hotness":13,"is_selected":14,"score":301,"score_detail":302,"sources":305,"tags":307,"primary_topic":312,"secondary_topics":313,"classification":316,"search_phrases":332,"slug":335,"view_count":179,"doi":336,"paper":337,"created_at":363},4652,"Linking land use advantage and temporal stability for row configuration design in maize\u002Fsoybean intercropping under water-limited dryland conditions in northeastern China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105005","Linking land use advantage and temporal stability for row configuration design in maize\u002Fsoybean intercropping under water-limited dryland conditions in northeastern China。Agricultural Systems","Agricultural Systems","2026-10-10T00:00:00Z",74,{"impact":101,"substance":303,"depth":19,"authority":20,"freshness":51,"relevant":22,"comment":304},21,"核心期刊论文，方法新颖、结论可靠，但属细分领域研究，产业影响有限，可作为专业精选。",[306],{"name":299,"url":297},[136,308,309,310,311],"玉米大豆带状复合种植","东北旱作","水分利用","作物行配置",{"code":115,"slug":116,"name":117,"path":118,"parent_code":37},[314,315],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":317},{"candidates":318,"agricultural_evidence":52},[319,323,328],{"code":115,"score":101,"supported":52,"title":320,"abstract":321,"tags":322},[134],[134],[136],{"code":33,"score":324,"supported":52,"title":325,"abstract":326,"tags":327},11,[34],[34],[],{"code":40,"score":324,"supported":52,"title":329,"abstract":330,"tags":331},[129],[129],[],[333,334],"玉米大豆间作 行配置 东北","旱地 间作 产量稳定性","玉米大豆间作行配置东北-4652","10.1016\u002Fj.agsy.2026.105005",{"doi":336,"openalex_id":338,"authors":339,"venue":299,"cited_by_count":179,"oa_url":297,"card":8,"direction":8,"ingested_from":186},"W7221334648",[340,343,346,348,350,352,355,357,359,361],{"name":341,"orcid":342},"Yue Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-0506-409X",{"name":344,"orcid":345},"Xiaoyi Wang","https:\u002F\u002Forcid.org\u002F0000-0003-3843-2434",{"name":347,"orcid":8},"Shixiang Xi",{"name":349,"orcid":8},"Hongjun Du",{"name":351,"orcid":8},"Chen Feng",{"name":353,"orcid":354},"Zhe Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-4579-7709",{"name":356,"orcid":8},"Erjing Guo",{"name":358,"orcid":8},"Wei Bai",{"name":360,"orcid":8},"Lizhen Zhang",{"name":362,"orcid":8},"Zhanxiang Sun","2026-10-11T23:30:03.973971Z",{"id":365,"title":366,"url":367,"summary":368,"summary_zh":8,"content":369,"source_name":370,"source_url":8,"published_at":371,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":372,"score_detail":373,"sources":375,"tags":377,"primary_topic":382,"secondary_topics":383,"classification":389,"search_phrases":434,"slug":437,"view_count":21,"doi":8,"paper":8,"created_at":438},1357,"河南省推介发布 2026 年农业主导品种主推技术：小麦 24 个、玉米 12 个、水稻 3 个、大豆 6 个等共 80 余项","https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144995.html","河南省农业农村厅发布 2026 年主导品种：小麦郑麦 1860、周麦 36 号、百农 4199 等 24 个；玉米 MY73、秋乐 368、京科 938 等 12 个；水稻信两优 1319、郑稻 C42 等 3 个；大豆郑 1307、洛豆 1 号等 6 个；花生开农 1760、豫花 37 号等 7 个；食用菌、畜牧水产等同步推介。","![Image 4](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fico-user.png)[会员登录](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002Flogin.php)|[免费注册](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002Fseed.php)|[忘记密码](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002Fsend.php)\n\n![Image 5: VIP标识](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fvip.gif)[欢迎光临种业商务网](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002Fgrade.php) | [收藏本页](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144995.html \"河南省推介发布2026年农业主导品种主推技术通知_要闻_资讯_种业商务网\") | [手机版](https:\u002F\u002Fm.chinaseed114.com\u002F)\n\n[![Image 6: 种业商务网](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F201903\u002F04\u002F151853451.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002F)\n\n[![Image 7](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202502\u002F05\u002F152240261.jpg)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=101)\n\n[![Image 8: 商务中心](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fbtn_biz.gif) 商务中心](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002F)\n\n[![Image 9: 发布信息](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fbtn_edit.gif) 发布信息](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002Fmy.php)\n\n[![Image 10: 排名推广](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fbtn_word.gif) 排名推广](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144995.html)\n\n*   [首页](https:\u002F\u002Fwww.chinaseed114.com\u002F)\n*   [资讯](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F)\n*   [品种](https:\u002F\u002Fwww.chinaseed114.com\u002Fseed\u002F)\n*   [营销](https:\u002F\u002Fwww.chinaseed114.com\u002Fmarket\u002F)\n*   [供应](https:\u002F\u002Fwww.chinaseed114.com\u002Fsell\u002F)\n*   [求购](https:\u002F\u002Fwww.chinaseed114.com\u002Fbuy\u002F)\n*   [人才](https:\u002F\u002Fwww.chinaseed114.com\u002Fjob\u002F)\n*   [招商](https:\u002F\u002Fwww.chinaseed114.com\u002Finvest\u002F)\n*   [企业](https:\u002F\u002Fwww.chinaseed114.com\u002Fcompany\u002F)\n*   [展会](https:\u002F\u002Fwww.chinaseed114.com\u002Fexhibit\u002F)\n*   [图库](https:\u002F\u002Fwww.chinaseed114.com\u002Fphoto\u002F)\n*   [视频](https:\u002F\u002Fwww.chinaseed114.com\u002Fvideo\u002F)\n*   [知道](https:\u002F\u002Fwww.chinaseed114.com\u002Fknow\u002F)\n*   [论坛](http:\u002F\u002Fbbs.chinaseed114.com\u002F)\n\n[资讯](javascript:void(0);)[品种](javascript:void(0);)[营销](javascript:void(0);)[供应](javascript:void(0);)[求购](javascript:void(0);)[人才](javascript:void(0);)[招商](javascript:void(0);)[企业](javascript:void(0);)[展会](javascript:void(0);)[图库](javascript:void(0);)[视频](javascript:void(0);)[知道](javascript:void(0);)\n\n[高级](https:\u002F\u002Fwww.chinaseed114.com\u002Fsell\u002Fsearch.php)\n\n**模糊搜索**\n\n**热门搜索：**[小麦](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E5%B0%8F%E9%BA%A6)[水稻](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E6%B0%B4%E7%A8%BB)[玉米种子](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E7%8E%89%E7%B1%B3%E7%A7%8D%E5%AD%90)[番茄](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E7%95%AA%E8%8C%84)[浚单](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E6%B5%9A%E5%8D%95)[栽培](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E6%A0%BD%E5%9F%B9)[辣椒](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E8%BE%A3%E6%A4%92)[大麦](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E5%A4%A7%E9%BA%A6)[生菜](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E7%94%9F%E8%8F%9C)[菠菜](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fsearch.php?kw=%E8%8F%A0%E8%8F%9C)\n\n当前位置: [首页](https:\u002F\u002Fwww.chinaseed114.com\u002F) » [资讯](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F) » [要闻](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002Fyaowen\u002F) » 正文\n\n# 河南省推介发布2026年农业主导品种主推技术通知\n\n![Image 11: 放大字体](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fzoomin.gif)![Image 12: 缩小字体](https:\u002F\u002Fwww.chinaseed114.com\u002Fskin\u002Fdefault3.0\u002Fimage\u002Fzoomout.gif) 发布日期：2026-09-01 来源：河南省农业农村厅 浏览次数：416\n\n[![Image 13](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202411\u002F21\u002F113002821.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=119)\n\n[![Image 14](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202604\u002F30\u002F112526551.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=213)\n\n[![Image 15](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202408\u002F05\u002F161620781.jpg)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=220)\n\n![Image 16](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202609\u002F01\u002F084854511.png)![Image 17](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202609\u002F01\u002F084909821.png)\n\n 附 件 \n**河南省2026年农业主导品种主推技术**\n\n**一、主导品种**\n\n**(一)小麦 (24个)**\n\n郑麦 1860、周麦 36号、百农 4199、郑麦 136、中麦 578、郑麦379、冠麦2号、百农307、百农207、平安11号、新麦45、豫农516、伟隆169、豫品麦128、百农607、洛旱22、兆丰6号、郑麦139、吉兴653、豫农916、华伟305、滑育麦1号、洛麦47、百农8399\n\n**(二)玉米 (12个)**\n\nMY73、秋乐 368、现 代 959、京 科 938、郑 单 958、泛 玉298、棒博士767、伟科702、科腾918、鼎诺212、伟科812、浚单1618\n\n**(三)水稻 (3个)**\n\n信两优1319、郑稻C42、信两优905\n\n**(四)大豆 (6个)**\n\n郑1307、洛豆1号、周豆25、周豆23、濮豆820、油6019\n\n**(五)甘薯杂粮 (2个)**\n\n漯紫薯4号、中谷25\n\n**(六)花生 (7个)**\n\n开农1760、豫花37号、开农71、开农1715、豫花23号、豫花22号、农大花108\n\n**(七)芝麻 (1个)**\n\n豫芝619\n\n**(八)蔬菜 (3个)**\n\n蔬菠16号 (菠菜)、新科小包26 (大白菜)、棚宝 (韭菜)\n\n**(九)食用菌 (2个)**\n\n羊肚菌南农2号、驻研2号\n\n**(十)中药材 (2个)**\n\n南阳艾10号、豫菊花1号\n\n**(十一)畜牧水产 (6个)**\n\n夏南牛、豫农黑猪、黄淮肉羊、北方中蜂、天成1号肉鸽、豫选黄河鲤2号\n\n![Image 18](https:\u002F\u002Fwww.chinaseed114.com\u002Fmember\u002Feditor\u002Ffckeditor\u002Feditor\u002Fimages\u002Fext\u002Fpdf.gif)[关于推介发布2026年农业主导品种主推技术的通知.pdf](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fattach.php?url=https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202609\u002F01\u002F085123221.pdf&name=%E5%85%B3%E4%BA%8E%E6%8E%A8%E4%BB%8B%E5%8F%91%E5%B8%832026%E5%B9%B4%E5%86%9C%E4%B8%9A%E4%B8%BB%E5%AF%BC%E5%93%81%E7%A7%8D%E4%B8%BB%E6%8E%A8%E6%8A%80%E6%9C%AF%E7%9A%84%E9%80%9A%E7%9F%A5.pdf)\n\n[![Image 19](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202503\u002F10\u002F173126911.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=184)\n\n[ [打印本文](javascript:Print();) ] [ [关闭窗口](javascript:window.close()) ] [ [返回顶部](javascript:window.scrollTo(0,0);) ]\n\n[**0** 条](https:\u002F\u002Fwww.chinaseed114.com\u002Fcomment\u002Findex.php?mid=21&itemid=144995)**相关评论**\n\n[同类资讯](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002Fyaowen\u002F)\n\n[• 云南：2026年初审结果以及拟撤销审定品种公示](https:\u002F\u002Fwww.chinaseed114.com\u002Fseed\u002F20\u002Fseed_97786.html \"云南：2026年初审结果以及拟撤销审定品种公示\")[• 国家农作物种植方向唯一人工智能应用中试基地在](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144987.html \"国家农作物种植方向唯一人工智能应用中试基地在哈开建\")\n[• 黑龙江省22个农作物专家育种展示基地将于9月全](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144986.html \"黑龙江省22个农作物专家育种展示基地将于9月全面对外开放\")[• “大豆种子包衣防控效果调查观摩活动”在黑龙江](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144985.html \"“大豆种子包衣防控效果调查观摩活动”在黑龙江举办\")\n[• 承担2027年北京市救灾备荒种子储备任务申报通知](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144984.html \"承担2027年北京市救灾备荒种子储备任务申报通知\")[• 破解玉米害虫“基因防线”的方法找到了](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144983.html \"破解玉米害虫“基因防线”的方法找到了\")\n[• 新型噻虫啉微胶囊实现药肥一体化绿色防控](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144982.html \"新型噻虫啉微胶囊实现药肥一体化绿色防控\")[• 以种质科技创新丰富“中国饭碗”供给——沉睡千](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144981.html \"以种质科技创新丰富“中国饭碗”供给——沉睡千年菰米有望重回餐桌\")\n[• 河北省印发玉米、白羽肉鸡重大品种推广补助试点](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144976.html \"河北省印发玉米、白羽肉鸡重大品种推广补助试点项目通知\")[• 亩产1830.5斤！优质稻“珠两优1653”稳产价优助](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144967.html \"亩产1830.5斤！优质稻“珠两优1653”稳产价优助农增收\")\n\n[![Image 20](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202207\u002F11\u002F165015751.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=178)[![Image 21](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202207\u002F11\u002F165053721.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=179)\n\n[![Image 22](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202212\u002F28\u002F165638461.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=180)[![Image 23](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202212\u002F28\u002F165752521.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=181)\n\n[![Image 24](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202502\u002F05\u002F155423671.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=182)[![Image 25](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202502\u002F05\u002F155215471.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=183)\n\n**推荐图文**\n\n[![Image 26: 油菜抗病与优质协同改良的难题被攻克](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202608\u002F29\u002F093901561.png)](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144953.html)\n*   [油菜抗病与优质协同改](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144953.html)[![Image 27: 河南举办实质性派生品种（EDV）制度及植物品种DUS测试技术培训](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202608\u002F25\u002F091804951.png)](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144873.html)\n*   [河南举办实质性派生品](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144873.html)\n[![Image 28: 2025—2026年度国家冬小麦、冬油菜和冬作马铃薯品种试验评审会在山西省晋中市召开](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202608\u002F22\u002F204931281.png)](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144834.html)\n*   [2025—2026年度国家冬](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144834.html)[![Image 29: 河南：“揭榜挂帅”破瓶颈 科企协同攻克小麦品种“卡脖子”难题](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202608\u002F13\u002F105538281.jpg)](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144681.html)\n*   [河南：“揭榜挂帅”破](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144681.html)\n[![Image 30: 西瓜种子大小调控的全新分子通路被解析](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202608\u002F13\u002F102232321.jpg)](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144664.html)\n*   [西瓜种子大小调控的全](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144664.html)[![Image 31: 河南省“十五五”现代种业工程项目储备谋划座谈会召开](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202608\u002F05\u002F223108441.jpg)](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144562.html)\n*   [河南省“十五五”现代](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144562.html)\n\n![Image 32](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202508\u002F11\u002F111309281.gif)\n\n**推荐资讯**\n\n*   [云南：2026年初审结果以及拟撤销审定品种公示](https:\u002F\u002Fwww.chinaseed114.com\u002Fseed\u002F20\u002Fseed_97786.html \"云南：2026年初审结果以及拟撤销审定品种公示\")\n*   [国家农作物种植方向唯一人工智能应用中试基地在哈开建](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144987.html \"国家农作物种植方向唯一人工智能应用中试基地在哈开建\")\n*   [黑龙江省22个农作物专家育种展示基地将于9月全面对外开放](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144986.html \"黑龙江省22个农作物专家育种展示基地将于9月全面对外开放\")\n*   [“大豆种子包衣防控效果调查观摩活动”在黑龙江举办](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144985.html \"“大豆种子包衣防控效果调查观摩活动”在黑龙江举办\")\n*   [承担2027年北京市救灾备荒种子储备任务申报通知](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144984.html \"承担2027年北京市救灾备荒种子储备任务申报通知\")\n*   [新型噻虫啉微胶囊实现药肥一体化绿色防控](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144982.html \"新型噻虫啉微胶囊实现药肥一体化绿色防控\")\n*   [以种质科技创新丰富“中国饭碗”供给——沉睡千年菰米有望重回餐桌](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144981.html \"以种质科技创新丰富“中国饭碗”供给——沉睡千年菰米有望重回餐桌\")\n*   [河北省印发玉米、白羽肉鸡重大品种推广补助试点项目通知](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144976.html \"河北省印发玉米、白羽肉鸡重大品种推广补助试点项目通知\")\n*   [亩产1830.5斤！优质稻“珠两优1653”稳产价优助农增收](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144967.html \"亩产1830.5斤！优质稻“珠两优1653”稳产价优助农增收\")\n*   [亩产807.01公斤！四川水稻新品种“川绿优雄墩”叩响西南超级稻大门](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144966.html \"亩产807.01公斤！四川水稻新品种“川绿优雄墩”叩响西南超级稻大门\")\n\n[![Image 33](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002F202203\u002F23\u002F171438781.gif)](https:\u002F\u002Fwww.chinaseed114.com\u002Fapi\u002Fredirect.php?aid=91)\n\n**点击排行**\n\n*   [云南：2026年第一批品种审定试验违规情况处理结果](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144546.html \"云南：2026年第一批品种审定试验违规情况处理结果\")\n*   [2026半年报：敦煌种业成唯一净利过亿种企](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144697.html \"2026半年报：敦煌种业成唯一净利过亿种企\")\n*   [69个！2026年河南省农业主导品种主推技术公示](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144510.html \"69个！2026年河南省农业主导品种主推技术公示\")\n*   [河南省“十五五”现代种业工程项目储备谋划座谈会召开](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144562.html \"河南省“十五五”现代种业工程项目储备谋划座谈会召开\")\n*   [公告:32家种企获批农作物种子生产经营许可证](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144619.html \"公告:32家种企获批农作物种子生产经营许可证\")\n*   [注册资本5000万元！山东一国企成立种业公司](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144854.html \"注册资本5000万元！山东一国企成立种业公司\")\n*   [安徽遴选推出24个小麦、油菜展示示范推介品种](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144561.html \"安徽遴选推出24个小麦、油菜展示示范推介品种\")\n*   [安徽省2026年度主要农作物新品种展示工作补充通知](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144760.html \"安徽省2026年度主要农作物新品种展示工作补充通知\")\n*   [矮秆、转基因玉米田头打擂！首试首种加速良种换代](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144946.html \"矮秆、转基因玉米田头打擂！首试首种加速良种换代\")\n*   [河南一种企经营未审定玉米种子被处罚20670.90元！](https:\u002F\u002Fwww.chinaseed114.com\u002Fnews\u002F29\u002Fnews_144534.html \"河南一种企经营未审定玉米种子被处罚20670.90元！\")\n\n[网站首页](https:\u002F\u002Fwww.chinaseed114.com\u002F) | [关于我们](https:\u002F\u002Fwww.chinaseed114.com\u002Fextend\u002Fabout.html) | [版权隐私](https:\u002F\u002Fwww.chinaseed114.com\u002Fextend\u002Fcopyright.html) | [使用协议](https:\u002F\u002Fwww.chinaseed114.com\u002Fextend\u002Fagreement.html) | [联系方式](https:\u002F\u002Fwww.chinaseed114.com\u002Fextend\u002Fcontact.html) | [广告服务](https:\u002F\u002Fwww.chinaseed114.com\u002Fextend\u002F5.html)[友情链接](https:\u002F\u002Fwww.chinaseed114.com\u002Flink\u002F) | [申请链接](https:\u002F\u002Fwww.chinaseed114.com\u002Flink\u002Findex.php?action=reg) | [网站留言](https:\u002F\u002Fwww.chinaseed114.com\u002Fguestbook\u002F)\n\n[![Image 34](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002Fadv\u002Ficon-jyxba.jpg)](https:\u002F\u002Fbeian.miit.gov.cn\u002F#\u002FIntegrated\u002Findex)[![Image 35](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002Fadv\u002Ficon-gawba.jpg)](https:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=41019702002118)[![Image 36](https:\u002F\u002Fwww.chinaseed114.com\u002Ffile\u002Fupload\u002Fadv\u002F110.gif)](https:\u002F\u002Fwww.bj.cyberpolice.cn\u002F)\n\n©2008-2026 chinaseed114.com All Rights Reserved 种业商务网 版权所有","种业商务网 · 2026-09-01","2026-09-01T00:00:00Z",68,{"impact":17,"substance":19,"depth":101,"authority":13,"freshness":57,"relevant":22,"comment":374},"河南省发布2026年农业主导品种主推技术，涵盖80余项，对指导农业生产具有重要价值。",[376],{"name":370,"url":367},[378,379,35,380,381],"种业振兴","小麦","主导品种","主推技术",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[384,388],{"code":385,"slug":386,"name":379,"path":387,"parent_code":37},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":45,"locked":14,"version":46,"method":47,"evidence":390},{"candidates":391,"agricultural_evidence":52},[392,397,401,405,411,417,423,429],{"code":40,"score":20,"supported":52,"title":393,"abstract":394,"tags":396},[59],[59,395],"花生",[],{"code":385,"score":101,"supported":52,"title":398,"abstract":399,"tags":400},[379],[379],[379],{"code":33,"score":101,"supported":52,"title":402,"abstract":403,"tags":404},[35],[35],[35],{"code":406,"score":324,"supported":52,"title":407,"abstract":409,"tags":410},"A1",[408],"水稻",[408],[],{"code":412,"score":86,"supported":52,"title":413,"abstract":414,"tags":416},"B5",[],[415],"食用菌",[],{"code":418,"score":86,"supported":52,"title":419,"abstract":420,"tags":422},"C",[],[421],"畜牧",[],{"code":424,"score":86,"supported":52,"title":425,"abstract":426,"tags":428},"D",[],[427],"水产",[],{"code":430,"score":86,"supported":14,"title":431,"abstract":432,"tags":433},"F1",[],[],[380,381,378],[435,436],"主导品种 主推技术 种业振兴 小麦","主导品种 主推技术","主导品种主推技术种业振兴小麦-1357","2026-09-02T00:05:05.417076Z",{"id":440,"title":441,"url":442,"summary":443,"summary_zh":8,"content":444,"source_name":445,"source_url":8,"published_at":446,"category":12,"cover_url":8,"hotness":13,"is_selected":52,"score":447,"score_detail":448,"sources":452,"tags":454,"primary_topic":457,"secondary_topics":458,"classification":459,"search_phrases":479,"slug":482,"view_count":158,"doi":8,"paper":8,"created_at":483},4391,"中国农科院油料所李培武院士团队 ARC 生物耦合技术为大豆绿色增产注入新动能","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F572496.shtm","中国农科院油料所李培武院士团队历经 20 余年攻关研发的 ARC 生物耦合技术,在内蒙古兴安盟科右前旗 3.9 万亩示范片开展测产,千亩方平均亩产 265.49 公斤,较对照田块增产 17.40%,大豆最高亩产突破 298.7 公斤创当地大面积种植高产纪录;技术使农田氧化亚氮减排 50.7%,相关产品 2026 年全国推广面积超 1000 万亩。","红峰村连续3年的试验示范结果表明，ARC生物耦合技术为解决连作重茬危害提供了技术路径。该技术诱导大豆结瘤固氮除供当季大豆生长外，还有约30%的氮素留存土壤，能够持续活化土壤养分、改良土壤团粒结构、调节土壤pH值、丰富有益微生物种群，促进土壤有机质稳步提升。该技术的实施不仅显著改善大豆品质，还让重茬导致的病害大幅减轻，实现了用地、养地、提质的良性循环。\n\n辽宁省彰武县农业发展服务中心技术部副部长曹友文介绍，ARC生物耦合技术在提升单产的同时能够有效减少化肥使用。彰武县麦豆轮作应用ARC菌剂后，复合肥用量由每亩60斤降至30~45斤。\n\n该技术减排生态效益同样可观。据中国农科院双碳团队实测数据显示，该技术可使农田氧化亚氮减排达50.7%，每万亩大豆田块每年碳减排达1800吨，相当于新增9000亩林地碳汇能力。\n\nARC生物耦合技术2023年以来连续入选全国农业主推技术，2024年被遴选为全国农业十大重大引领性技术，并获第十四届中国创新创业大赛颠覆性技术创新大赛总决赛最高奖和湖北专利奖金奖。2026年ARC生物耦合技术相关产品在全国推广应用面积已超过1000万亩。\n\n版权声明：凡本网注明“来源：中国科学报、科学网、科学新闻杂志”的所有作品，网站转载，请在正文上方注明来源和作者，且不得对内容作实质性改动；微信公众号、头条号等新媒体平台，转载请联系授权。邮箱：shouquan@stimes.cn。","中国科学报 2026-10-04","2026-10-04T00:00:00Z",86,{"impact":449,"substance":18,"depth":102,"authority":20,"freshness":450,"relevant":22,"comment":451},27,5,"国家级团队技术，含减排50.7%、推广超1000万亩等硬数据，产业级突破值得精选。",[453],{"name":445,"url":442},[59,455,456,29,31],"生物固氮","化肥减量",{"code":40,"slug":41,"name":42,"path":43,"parent_code":37},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":460},{"candidates":461,"agricultural_evidence":52},[462,466,471,475],{"code":40,"score":101,"supported":52,"title":463,"abstract":464,"tags":465},[59],[59],[59],{"code":467,"score":140,"supported":14,"title":468,"abstract":469,"tags":470},"F3",[],[],[456,455],{"code":68,"score":22,"supported":14,"title":472,"abstract":473,"tags":474},[],[],[29],{"code":78,"score":22,"supported":14,"title":476,"abstract":477,"tags":478},[],[],[31],[480,481],"ARC生物耦合技术 大豆","李培武 大豆 固氮","ARC生物耦合技术大豆-4391","2026-10-08T00:06:56.168884Z"]