[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3530":3,"related-3530":60},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":59},3530,"Kappaphycus alvarezii-derived biostimulant-coated urea is associated with enhanced plant growth, nitrogen-related processes, and shift in rhizospheric soil microbial diversity","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1878004","Excessive use of inorganic fertilizers is associated with declining soil health, reduced microbial diversity, and impaired water quality. This study evaluated LBS27, a novel Kappaphycus alvarezii -derived biostimulant, as a fertilizer-coating solution. In a replicated greenhouse pot experiment, we assessed the effects of LBS27-coated urea (LBS27-CU) on maize growth, plant nitrogen (N) content, and rhizosphere microbial communities during vegetative growth. Compared with uncoated urea, LBS27-CU significantly increased plant height, stem girth, leaf area, and biomass, as well as total flavonoid and phenolic contents. LBS27-CU also increased the relative abundance of plant-growth-promoting rhizosphere taxa, particularly Actinobacteria ( Rhodococcus ) and a nitrogen-fixing Rhizobium-clade genus. FAPROTAX-predicted functional profiles further indicated greater representation of bacteria associated with nitrogen fixation, nitrification, and ureolysis. These findings were consistent with soil microcosm assays, in which LBS27-CU degraded significantly faster than uncoated urea and showed greater early ammonium release. Despite this enhanced ureolytic potential, LBS27-CU reduced measured rhizosphere urease activity by 61% in the planted system, a paradox that our data suggest reflects accelerated plant nitrogen uptake and depletion of the ammonium substrate pool rather than direct enzymatic inhibition. LBS27-CU also increased rhizosphere β-glucosaminidase, arylsulfatase, and phosphatase activities, and upregulated root expression of the nitrogen transporter genes NPF6.6, NPF6.8, AMT1.1a, and AMT1.3. These changes were accompanied by higher glutamate dehydrogenase activity, total amino acid content and total tissue nitrogen content, indicating enhanced nitrogen assimilation. Collectively, these findings support LBS27-CU as a fertilizer-coating strategy that acts through a plant-dependent mechanism linking soil nitrogen cycling with accelerated nitrogen uptake, and plant growth.","过量使用无机肥料与土壤健康下降、微生物多样性降低和水质受损相关。本研究评估了LBS27——一种新型的源自麒麟菜（*Kappaphycus alvarezii*）的生物刺激素——作为肥料包膜溶液的效果。在重复的温室盆栽实验中，我们评估了LBS27包膜尿素（LBS27-CU）在营养生长期对玉米生长、植株氮（N）含量和根际微生物群落的影响。与未包膜尿素相比，LBS27-CU显著增加了株高、茎围、叶面积和生物量，以及总黄酮和酚类物质含量。LBS27-CU还提高了促进植物生长的根际类群的相对丰度，尤其是放线菌门（*Rhodococcus*）和一个固氮根瘤菌分支属。FAPROTAX预测的功能谱进一步表明，与固氮、硝化和尿素水解相关的细菌代表性更高。这些发现与土壤微宇宙实验一致，其中LBS27-CU的降解速度显著快于未包膜尿素，并表现出更高的早期铵释放。尽管尿素水解潜力增强，LBS27-CU在种植系统中使测得的根际脲酶活性降低了61%，我们的数据表明这一悖论反映的是植物氮吸收加速和铵底物池耗竭，而非直接的酶抑制。LBS27-CU还提高了根际β-氨基葡萄糖苷酶、芳基硫酸酯酶和磷酸酶活性，并上调了根系氮转运蛋白基因NPF6.6、NPF6.8、AMT1.1a和AMT1.3的表达。这些变化伴随着更高的谷氨酸脱氢酶活性、总氨基酸含量和总组织氮含量，表明氮同化增强。总体而言，这些发现支持LBS27-CU作为一种肥料包膜策略，其通过植物依赖机制将土壤氮循环与加速的氮吸收和植物生长联系起来。",null,"Frontiers in Sustainable Food Systems","2026-09-25T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,21,18,13,9,1,"海藻源生物刺激素包膜尿素提升玉米生长与氮利用的温室研究，方法扎实但属细分领域进展，产业影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"玉米","生物刺激素","缓控释肥","土壤微生物","氮循环",[33,34],"Kappaphycus alvarezii 生物刺激素 尿素","LBS27 包膜尿素 玉米","Kappaphycusalvarezii生物刺激素尿素-3530",0,"10.3389\u002Ffsufs.2026.1878004",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":52,"direction":56,"ingested_from":58},"W7214285882",[41,43,45,48,50],{"name":42,"orcid":9},"Nivetha Nagarajan",{"name":44,"orcid":9},"Pushp Sheel Shukla",{"name":46,"orcid":47},"Sri Sailaja Nori","https:\u002F\u002Forcid.org\u002F0000-0002-5073-1368",{"name":49,"orcid":9},"Girish Tavarekere Rudrappa",{"name":51,"orcid":9},"Shrikumar Suryanarayan",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"用麒麟菜提取物LBS27包膜尿素，研究其对玉米生长、氮代谢和根际微生物的影响。","温室盆栽玉米，LBS27包膜尿素，测生长、氮含量、根际微生物及酶活。","LBS27-CU促生长、增氮吸收，富集促生菌，脲酶活性降61%因氮吸收加速。","农业绿色发展与碳","可探究海藻提取物包膜肥在不同土壤-作物系统的长期效应及微生物机制。","openalex","2026-09-26T23:30:07.502115Z",{"total":61,"page":22,"page_size":61,"items":62},6,[63,122,161,187,211,234],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":68,"content":9,"source_name":69,"source_url":66,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":70,"score":71,"score_detail":72,"sources":77,"tags":79,"search_phrases":84,"slug":87,"view_count":36,"doi":88,"paper":89,"created_at":121},3525,"Multi-source data assimilation of Sentinel-2 reflectance and SMAP soil moisture into APSIM for maize biomass estimation","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10442-6","Crop growth models (CGMs) are valuable tools for agricultural monitoring. However, the need for many input parameters, the uncertainties related to model parametrization and structure, and the lack of spatial information motivate the application of techniques such as data assimilation (DA). This paper proposes a DA framework to improve maize biomass estimation. A particle filter (PF) was used to assimilate remotely sensed reflectance and soil moisture (SM) data, both independently and simultaneously, into the Agricultural Production Systems sIMulator (APSIM) model. Reflectance observations from Sentinel-2 were assimilated through coupling APSIM with the radiative transfer model (RTM) PROSAIL, while SMAP L-band SM products were directly assimilated into APSIM. The synthetic experiment, designed to evaluate the reliability of the proposed procedure, highlighted the strength of assimilating reflectance to constrain crop traits and of SM to provide complementary information on crop water status and to contribute to more robust ensemble trajectories. Real-case results confirmed these findings. DA assimilation of SM proved valuable particularly under data gaps and drought conditions. Although it did not consistently surpass single-source assimilation strategies, the joint assimilation yielded consistent results, especially in 2023, where RMSE, nRMSE and bias were 1258.83 kg\u002Fha, 16.62%, and - 220.52 kg\u002Fha, respectively. The proposed framework demonstrates the potential of multi-source DA to enhance biomass estimation and support robust, spatially explicit crop monitoring.","作物生长模型（CGM）是农业监测的重要工具。然而，其对大量输入参数的需求、模型参数化与结构相关的不确定性以及空间信息的缺乏，推动了数据同化（DA）等技术的应用。本文提出了一种数据同化框架，以改进玉米生物量估算。采用粒子滤波（PF）将遥感反射率和土壤水分（SM）数据分别独立及同时同化进入农业生产系统模拟器（APSIM）模型。Sentinel-2反射率观测数据通过将APSIM与辐射传输模型（RTM）PROSAIL耦合进行同化，而SMAP L波段土壤水分产品则直接同化进入APSIM。为评估所提方法可靠性而设计的合成实验，凸显了同化反射率在约束作物性状方面的优势，以及同化土壤水分在提供作物水分状况补充信息和促进更稳健集合轨迹方面的作用。实际案例结果证实了这些发现。土壤水分数据同化在数据缺失和干旱条件下尤为有价值。尽管联合同化未能持续超越单源同化策略，但其结果具有一致性，尤其在2023年，RMSE、nRMSE和偏差分别为1258.83 kg\u002Fha、16.62%和-220.52 kg\u002Fha。所提出的框架展示了多源数据同化在增强生物量估算和支持稳健、空间显式作物监测方面的潜力。","Precision Agriculture",true,82,{"impact":19,"substance":73,"depth":74,"authority":75,"freshness":21,"relevant":22,"comment":76},22,19,14,"将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型估算玉米生物量，方法新颖、结论可靠，对作物遥感监测有参考价值。",[78],{"name":69,"url":66},[80,27,81,82,83],"智慧农业","作物模型","遥感监测","数据同化",[85,86],"Sentinel-2 SMAP APSIM 玉米生物量","多源数据同化 玉米 遥感","Sentinel-2SMAPAPSIM玉米生物量-3525","10.1007\u002Fs11119-026-10442-6",{"doi":88,"openalex_id":90,"authors":91,"venue":69,"cited_by_count":36,"oa_url":66,"card":115,"direction":119,"ingested_from":58},"W7214405444",[92,94,97,100,103,105,107,110,112],{"name":93,"orcid":9},"Manuela Montella",{"name":95,"orcid":96},"Christian Bossung","https:\u002F\u002Forcid.org\u002F0000-0003-4651-2645",{"name":98,"orcid":99},"Thanh Huy Nguyen","https:\u002F\u002Forcid.org\u002F0000-0003-2471-350X",{"name":101,"orcid":102},"Marco Chini","https:\u002F\u002Forcid.org\u002F0000-0002-9094-0367",{"name":104,"orcid":9},"Jean François Iffly",{"name":106,"orcid":9},"Thomas Udelhoven",{"name":108,"orcid":109},"Julia Kubanek","https:\u002F\u002Forcid.org\u002F0000-0001-9597-2029",{"name":111,"orcid":9},"Zoltan Szantoi",{"name":113,"orcid":114},"Miriam Machwitz","https:\u002F\u002Forcid.org\u002F0000-0002-4999-673X",{"tldr":116,"method":117,"finding":118,"direction":119,"opportunity":120},"将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型，提升玉米生物量估算精度。","粒子滤波同化Sentinel-2反射率（经PROSAIL耦合）与SMAP土壤水分","联合同化结果稳健，2023年RMSE为1258.83 kg\u002Fha，nRMSE 16.62%，偏差-2","农业遥感与作物表型","可探索多源数据同化在数据缺失与干旱条件下的自适应权重策略，并推广至其他作物与区域。","2026-09-26T23:30:03.247019Z",{"id":123,"title":124,"url":125,"summary":126,"summary_zh":9,"content":9,"source_name":69,"source_url":125,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":127,"score_detail":128,"sources":132,"tags":134,"search_phrases":139,"slug":142,"view_count":36,"doi":143,"paper":144,"created_at":160},3523,"Soil-driven variability in crop response to variable-rate seeding and fertilization in an irrigated maize–sunflower system","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10458-y","Soil-driven variability in crop response to variable-rate seeding and fertilization in an irrigated maize–sunflower system。Precision Agriculture",69,{"impact":17,"substance":19,"depth":129,"authority":75,"freshness":130,"relevant":22,"comment":131},17,8,"精准农业核心期刊论文，探讨土壤空间变异对变量播种与施肥效果的影响，方法新颖、结论可靠，对智慧农业田间管理有参考价值，但属细分领域研究，影响范围有限。",[133],{"name":69,"url":125},[80,135,27,136,137,138],"变量施肥","精准农业","向日葵","变量播种",[140,141],"Precision Agriculture 变量播种 变量施肥","灌溉玉米 向日葵 土壤变异","PrecisionAgriculture变量播种变量施肥-3523","10.1007\u002Fs11119-026-10458-y",{"doi":143,"openalex_id":145,"authors":146,"venue":69,"cited_by_count":36,"oa_url":9,"card":9,"direction":9,"ingested_from":58},"W7214357812",[147,150,152,154,156,158],{"name":148,"orcid":149},"María Videgain","https:\u002F\u002Forcid.org\u002F0000-0002-3630-7931",{"name":151,"orcid":9},"J. A. Martínez-Casasnovas",{"name":153,"orcid":9},"S. Artero",{"name":155,"orcid":9},"A. Vigo",{"name":157,"orcid":9},"M. Vidal",{"name":159,"orcid":9},"F. J. García-Ramos","2026-09-26T23:30:03.127069Z",{"id":162,"title":163,"url":164,"summary":165,"summary_zh":9,"content":166,"source_name":167,"source_url":9,"published_at":168,"category":169,"cover_url":9,"hotness":13,"is_selected":14,"score":170,"score_detail":171,"sources":174,"tags":176,"search_phrases":182,"slug":185,"view_count":36,"doi":9,"paper":9,"created_at":186},3419,"黑龙江省农科院联合鸡西市举办玉米大豆新品种田间博览会——46个大豆品种+27个玉米品种扫码即查","https:\u002F\u002Fwww.haas.cn\u002Finfo\u002F6401\u002F336191.htm","黑龙江省农科院联合鸡西市农业农村局在密山市知一镇向化村举办玉米、大豆新品种田间博览会。试验田划分成多个功能区块，集中展示46个大豆品种、27个玉米品种，田间地块同步配套信息化溯源服务，每块展示田旁均设置专属信息二维码，农户扫码即可一键查询品种特性、产量表现、适配场景、栽培要点等详细信息。大豆品种展示区设高产、高油、高蛋白、特用四大功能区，配套示范1.3米大垄宽窄行密植技术。","九月的密山市知一镇向化村，田野间大豆荚实饱满，玉米果穗匀称。黑龙江省农业科学院联合鸡西市农业农村局于近日在此举办玉米、大豆新品种田间博览会。当地种植大户、农业合作社、涉农企业代表、科技包联专家服务团及农业农村部门工作人员共计六十余人，齐聚田间一线，实地观摩新品种长势性状，聆听专家现场讲解，沉浸式参与一场接地气的“看禾选种”田间会。\n\n![Image 1](https:\u002F\u002Fwww.haas.cn\u002F__local\u002F9\u002F38\u002F6F\u002F56D76BF8FE3021876E3669CA84D_778C4414_28C72.png)\n\n本次活动以“科技赋能良种推广 包联助推产业升级”为主题，设置田间品种展示、优良品种推介、专家现场技术答疑三个环节。试验田划分成多个功能区块，集中展示46个大豆品种、27个玉米品种。田间地块同步配套信息化溯源服务，每块展示田旁均设置专属信息二维码，农户扫码即可一键查询品种特性、产量表现、适配场景、栽培要点等详细信息，实现良种信息透明化、选种参考精细化。\n\n参会人员穿行于田垄之间，细致查看玉米果穗饱满度、剥开苞叶对比品种差异，俯身翻看大豆结荚情况、甄别长势优劣，直观对比各类新品种的抗病抗逆性、结实率、丰产性等核心性状。\n\n在大豆品种展示区，省农科院大豆研究所刘鑫磊研究员、王金生副研究员面对面为种植户讲解良种特性与栽培技术。\n\n![Image 2](https:\u002F\u002Fwww.haas.cn\u002F__local\u002FB\u002F86\u002FF7\u002F4421E3D9D428CFB5A9AE79EDF89_B9D53E8B_1F17D.png)\n\n“今年我们团队落实省农科院科技包联行动，整合省农科院品种、技术、人才等优势，目的就是提升密山当地大豆的整体生产水平。”王金生介绍，“示范田划分高产、高油、高蛋白、特用四大功能区，把各类大豆品种摆在地里，让农户看得见摸得着，同时配套示范1.3米大垄宽窄行密植技术，依靠良种良法协同发力，提高大豆单产。”\n\n玉米示范田里，省农科院牡丹江分院邵广忠研究员被农户围住。“我们筛选近两年新审定和待审定的27个玉米品种进行集中展示，就是让种植户实地对比新品种和市场主流品种的差异，给大家选种提供参考。”邵广忠现场还普及了大垄双行、垄体侧深施肥、秋整地秋起垄、种子包衣、气吸式精密播种等关键技术。\n\n“连续三年的示范表明，良种配套科学栽培技术，玉米亩产能够提高80斤到100斤。引导农户转变传统耕作观念，也是科技包联的重要任务。”邵广忠说。\n\n![Image 3](https:\u002F\u002Fwww.haas.cn\u002F__local\u002F5\u002F57\u002FAC\u002F3BB82C4E23E32B05DC89E6F9DE5_66DD1933_22BA4.png)\n\n“今年，我们村在这片示范园区集中展示一大批优良新品种。年初我们把本地芽豆、机收等选种需求反馈给专家，科研团队按需匹配品种，持续开展技术指导。”\n\n向化村党支部书记刘洪义站在试验田旁感慨，“农户来到地里扫二维码，各个品种优势一目了然，来年选种心里就有了底。”\n\n观摩活动尾声，种植户围绕品种选择、科学施肥、田间管护、病虫害防治等生产高频问题提问，专家们逐一解答、精准支招。本次田间博览会以院地协同、科技包联为抓手，有效引导广大种植主体科学选种、规范耕作、精准管护，为地方农业增效、农民增收注入科技动能。","黑龙江日报\u002F黑龙江省农科院 2026-09-22","2026-09-22T00:00:00Z","报道",64,{"impact":75,"substance":129,"depth":75,"authority":172,"freshness":130,"relevant":22,"comment":173},11,"省级农科院院地协同的田间看禾选种活动，品种数量与扫码溯源细节具体，但属常规推广动态，影响力限于区域。",[175],{"name":167,"url":164},[177,27,178,179,180,181],"种业振兴","大豆","良种推广","科技包联","扫码溯源",[183,184],"黑龙江省农科院 玉米大豆 田间博览会","密山 大豆品种 扫码溯源","黑龙江省农科院玉米大豆田间博览会-3419","2026-09-25T00:09:31.392494Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":9,"content":192,"source_name":193,"source_url":9,"published_at":194,"category":169,"cover_url":9,"hotness":13,"is_selected":14,"score":195,"score_detail":196,"sources":200,"tags":202,"search_phrases":206,"slug":209,"view_count":36,"doi":9,"paper":9,"created_at":210},3418,"国家重点研发计划项目'粮食生产大数据平台研发与应用'玉米智慧生产现场观摩会在北大荒红星农场召开","http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html","9月19日国家重点研发计划项目'粮食生产大数据平台研发与应用'玉米智慧生产现场观摩会在北大荒集团红星农场举行。会议由中国农科院农业资源与农业区划研究所、北京市农林科学院信息技术研究中心共同主办。项目团队聚焦玉米生产全程大数据智能决策技术示范应用，展示智能分析算法在农机作业调度、无人机出苗率调查、变量精准施肥、苗情长势、病虫害监测和预警及估产等场景的应用。项目首席科学家杨贵军介绍无人机出苗率调查精度达98%以上，精准变量施肥效益达114元\u002F亩。","[![Image 4](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html)](javascript:void(0))\n\n![Image 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“智”绘好“丰”景｜国家重点研发计划项目“粮食生产大数据平台研发与应用”玉米智慧生产现场观摩会在北大荒集团红星农场召开-新华网 \n\n![Image 11](http:\u002F\u002Fwww.news.cn\u002Fdetail2020\u002Fimages\u002Fewm.png)\n\n[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html&title=%E2%80%9C%E6%99%BA%E2%80%9D%E7%BB%98%E5%A5%BD%E2%80%9C%E4%B8%B0%E2%80%9D%E6%99%AF%EF%BD%9C%E5%9B%BD%E5%AE%B6%E9%87%8D%E7%82%B9%E7%A0%94%E5%8F%91%E8%AE%A1%E5%88%92%E9%A1%B9%E7%9B%AE%E2%80%9C%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%B9%B3%E5%8F%B0%E7%A0%94%E5%8F%91%E4%B8%8E%E5%BA%94%E7%94%A8%E2%80%9D%E7%8E%89%E7%B1%B3%E6%99%BA%E6%85%A7%E7%94%9F%E4%BA%A7%E7%8E%B0%E5%9C%BA%E8%A7%82%E6%91%A9%E4%BC%9A%E5%9C%A8%E5%8C%97%E5%A4%A7%E8%8D%92%E9%9B%86%E5%9B%A2%E7%BA%A2%E6%98%9F%E5%86%9C%E5%9C%BA%E5%8F%AC%E5%BC%80)\n\n![Image 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分享到：[](javascript:void(0))[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html&title=%E2%80%9C%E6%99%BA%E2%80%9D%E7%BB%98%E5%A5%BD%E2%80%9C%E4%B8%B0%E2%80%9D%E6%99%AF%EF%BD%9C%E5%9B%BD%E5%AE%B6%E9%87%8D%E7%82%B9%E7%A0%94%E5%8F%91%E8%AE%A1%E5%88%92%E9%A1%B9%E7%9B%AE%E2%80%9C%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%B9%B3%E5%8F%B0%E7%A0%94%E5%8F%91%E4%B8%8E%E5%BA%94%E7%94%A8%E2%80%9D%E7%8E%89%E7%B1%B3%E6%99%BA%E6%85%A7%E7%94%9F%E4%BA%A7%E7%8E%B0%E5%9C%BA%E8%A7%82%E6%91%A9%E4%BC%9A%E5%9C%A8%E5%8C%97%E5%A4%A7%E8%8D%92%E9%9B%86%E5%9B%A2%E7%BA%A2%E6%98%9F%E5%86%9C%E5%9C%BA%E5%8F%AC%E5%BC%80)[](javascript:void(0))[](javascript:void(0))\n\n![Image 15](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fzxcode_202609204ab83ef006ef45ebb569a44384224294.jpg)\n\n![Image 16](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html)\n\n![Image 17](http:\u002F\u002Fwww.news.cn\u002Fpolitics\u002Fnewpage2020\u002Fimages\u002Fqrcode-app.png)\n\n# “智”绘好“丰”景｜国家重点研发计划项目“粮食生产大数据平台研发与应用”玉米智慧生产现场观摩会在北大荒集团红星农场召开\n\n 2026-09-20 15:29:15  来源：龙头新闻 \n\n 秋色初染，沃野铺金。9月19日，国家重点研发计划项目“粮食生产大数据平台研发与应用”玉米智慧生产现场观摩会在北大荒集团红星农场举行。\n\n会议由中国农业科学院农业资源与农业区划研究所、北京市农林科学院信息技术研究中心共同主办，北大荒集团北安分公司、红星农场协办。来自农业农村部种植业管理司、农业农村部大数据发展中心、黑龙江省农垦科学院、中国科学院东北地理与农业生态研究所、东北农业大学、黑龙江省农业科学院、北大荒集团北安分公司、红星农场等单位的领导和专家到会指导，连同项目参加单位代表共70余人参会。\n\n![Image 18](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002F202609204ab83ef006ef45ebb569a44384224294_20260920bd227e0962384085b68d94c2a1656639.png)\n\n此时，在红星农场示范区，3000多亩玉米示范田连片成海，挺拔的玉米秆上，饱满的玉米棒透着金黄，秋风拂过，沙沙作响，一派喜人的丰收景象。项目团队聚焦玉米生产全程大数据智能决策技术示范应用，围绕玉米产前、产中、产后各关键环节，集中展示了智能分析算法在农机作业调度、无人机出苗率调查、变量精准施肥、苗情长势、病虫害监测和预警及估产、种植规划和适宜收获期等场景的应用。\n\n![Image 19](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002F202609204ab83ef006ef45ebb569a44384224294_20260920289e26fed6564d5892aead2d3115c204.png)\n\n田间观摩现场科技感十足，技术人员并通过电脑终端远程操控无人机开展巡田作业，腾空而起的无人机对田间苗情、长势进行全方位、立体化勘查，无人机自动规划好田间作业方案。依托粮食生产大数据平台，田间玉米长势实现实时动态监测、精准智能分析，精准变量施肥设备按需下料、科学供肥，让玉米精准吸收养分、吃上“专属营养餐”。据项目首席科学家杨贵军介绍，无人机出苗率调查精度达到98%以上，精准变量施肥效益达到114元\u002F亩。通过大数据平台与田间生产管理深度融合，玉米生产全过程实现可视化、精准化、智能化管控，智能决策技术在玉米生产管理中的应用水平进一步提升。\n\n![Image 20](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002F202609204ab83ef006ef45ebb569a44384224294_2026092038fb455d8b09418288c656d18f8fb457.png)\n\n此次现场观摩会的成功举办，标志着“粮食生产大数据平台研发与应用”项目在玉米生产智能化领域取得重要阶段性进展。项目成果将为黑龙江地区数字化转型提供有力技术支撑，助力国家粮食安全保障能力持续提升。\n\n从种到收，大数据平台像给玉米生产装上了“智慧大脑”，让管理更精细、种植更省心。黑土地上，丰收的粮食与奔涌的数据流交相辉映，一幅科技赋能粮食安全的现代农业图景正徐徐展开。（通讯员：岳文 张洪溪）\n\n[【纠错】](javascript:void(0);)\n\n![Image 21](http:\u002F\u002Fwww.news.cn\u002Fimages\u002Fsyicon\u002Fspace.gif)\n\n 【责任编辑:董云竹】 \n\n阅读下一篇：\n\n[](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html###)\n\nCopyright © 2000 - 2026 XINHUANET.com All Rights Reserved.\n\n制作单位：新华网股份有限公司 版权所有：新华网股份有限公司\n\n![Image 22](http:\u002F\u002Fhlj.xinhuanet.com\u002F20260920\u002F4ab83ef006ef45ebb569a44384224294\u002Fc.html)\n\n “智”绘好“丰”景｜国家重点研发计划项目“粮食生产大数据平台研发与应用”玉米智慧生产现场观摩会在北大荒集团红星农场召开","新华网黑龙江频道 2026-09-20","2026-09-20T00:00:00Z",70,{"impact":73,"substance":197,"depth":75,"authority":20,"freshness":198,"relevant":22,"comment":199},16,5,"国家重点研发计划在北大荒红星农场的玉米智慧生产现场观摩，属国家级项目落地示范，有实质内容但偏活动通稿，时效稍弱。",[201],{"name":193,"url":190},[80,203,27,204,205],"精准施肥","国家重点研发计划","粮食生产大数据",[207,208],"北大荒 红星农场 玉米 智慧生产","粮食生产大数据平台 玉米","北大荒红星农场玉米智慧生产-3418","2026-09-25T00:09:31.337863Z",{"id":212,"title":213,"url":214,"summary":215,"summary_zh":9,"content":9,"source_name":216,"source_url":9,"published_at":217,"category":169,"cover_url":9,"hotness":13,"is_selected":14,"score":218,"score_detail":219,"sources":224,"tags":226,"search_phrases":229,"slug":232,"view_count":36,"doi":9,"paper":9,"created_at":233},3395,"中国农科院院长黄三文调研主粮作物大面积单产提升示范成效——'中黄301''中玉303''中麦578'成果落地","https:\u002F\u002Fwww.caas.cn\u002Fxwzx\u002Fnkyw\u002F23b73863d2934f5fadde22af671895ed.htm","9月22—23日，中国农科院院长黄三文赴河南、河北调研大豆良种良法配套和玉米密植高产精准调控技术促单产提升进展成效，张新友院士参加。黄三文先后实地调研新乡县大豆万亩示范方、邢台市玉米万亩方示范基地，听取玉米密植高产精准调控技术推广应用成效，以及大豆全产业链集团军技术集成应用示范情况，强调要加强高产机理等基础研究，强化数智赋能；探索密植滴灌技术跨作物拓展应用，构建粮油作物协同提升的技术体系。","中国农科院 2026-09-23","2026-09-23T00:00:00Z",83,{"impact":220,"substance":221,"depth":197,"authority":222,"freshness":130,"relevant":22,"comment":223},24,20,15,"国家级科研机构院长实地调研主粮单产提升示范，含具体品种与技术路径，权威性和信息增量较高，值得进入每日精选。",[225],{"name":216,"url":214},[177,27,178,227,228],"数智赋能","主粮单产提升",[230,231],"中国农科院 黄三文 主粮单产","中黄301 中玉303 中麦578","中国农科院黄三文主粮单产-3395","2026-09-25T00:09:29.581621Z",{"id":235,"title":236,"url":237,"summary":238,"summary_zh":239,"content":9,"source_name":10,"source_url":237,"published_at":217,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":240,"score_detail":241,"sources":243,"tags":245,"search_phrases":250,"slug":253,"view_count":36,"doi":254,"paper":255,"created_at":282},3340,"Characterization of cattle manure-derived biochar and its synergistic effects with inorganic and organic fertilizers on soil properties, microbial community, and forage maize yield","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1936002","The impact of biochar on soil fertility and plant growth depends on its feedstock, physiochemical properties, and porous structure. However, cattle manure-derived biochar has been less used in practice, and its effectiveness on improving crop yield and the underlying mechanism are still unclear. This study characterized the properties and structures of biochar pyrolyzed from cattle manure from 200 °C to 600 °C. Subsequently, a field experiment was conducted to investigate the influence of biochar and its mixture with inorganic or organic fertilizer on soil properties, microbial community structure, and maize growth and yield. Based on a combined consideration of biochar yield, pore characteristics, specific surface area, and functional-group retention, 300 °C was selected as a suitable target pyrolysis temperature, with a relatively high biochar yield of 75.93%. The results revealed that reducing the inorganic fertilizer application rate by 50% and supplementing with biochar (FB50) resulted in a maize yield of 63.33 t·hm −2 , which was 9.83% higher than that under full inorganic fertilizer application (F; 57.67 t·hm −2 ), although the difference was not statistically significant, suggesting a sustainable approach to reducing chemical fertilizer use. Biochar likely improved maize growth by supporting keystone microbial taxa such as Chloroflexi , Proteobacteria , and Firmicutes , which are involved in nutrient cycling and enzymatic activities. Furthermore, co-applying biochar with organic fertilizer improved soil properties and microbial diversity, but did not improve maize production. Specifically, adding full-rate biochar (MB100) increased soil pH from 4.78 to 5.31 and soil organic carbon by 75.22% relative to manure alone (B). Overall, cattle manure-derived biochar offers a practical waste management solution, improving plant yields and soil health, while reducing chemical fertilizer reliance.","生物炭对土壤肥力和植物生长的影响取决于其原料、理化性质和多孔结构。然而，牛粪源生物炭在实际生产中应用较少，其提高作物产量的效果及潜在机制尚不清楚。本研究对200 °C至600 °C热解牛粪制备的生物炭的性质和结构进行了表征。随后，通过田间试验研究了生物炭及其与无机或有机肥料配施对土壤性质、微生物群落结构以及玉米生长和产量的影响。综合考虑生物炭产率、孔隙特征、比表面积和官能团保留情况，选择300 °C作为适宜的目标热解温度，此时生物炭产率较高，为75.93%。结果表明，将无机肥施用量减少50%并配施生物炭（FB50）可使玉米产量达到63.33 t·hm⁻²，比全量无机肥处理（F；57.67 t·hm⁻²）高9.83%，尽管差异未达统计显著水平，但这表明了一种减少化肥使用的可持续途径。生物炭可能通过支持关键微生物类群如绿弯菌门（Chloroflexi）、变形菌门（Proteobacteria）和厚壁菌门（Firmicutes）来促进玉米生长，这些微生物参与养分循环和酶活性。此外，生物炭与有机肥配施改善了土壤性质和微生物多样性，但未提高玉米产量。具体而言，与单施粪肥（B）相比，添加全量生物炭（MB100）使土壤pH从4.78提高到5.31，土壤有机碳增加了75.22%。总体而言，牛粪源生物炭提供了一种实用的废弃物管理方案，既能提高植物产量和土壤健康，又能减少对化肥的依赖。",72,{"impact":17,"substance":18,"depth":129,"authority":20,"freshness":21,"relevant":22,"comment":242},"牛粪生物炭热解参数与田间试验数据扎实，为粪污资源化与化肥减施提供实证，但属细分领域研究，公共影响有限。",[244],{"name":10,"url":237},[246,247,248,30,249],"生物炭","化肥减量","青贮玉米","畜禽粪污资源化",[251,252],"牛粪生物炭 化肥减量 玉米","畜禽粪污资源化 土壤微生物 化肥减量 青贮玉米","牛粪生物炭化肥减量玉米-3340","10.3389\u002Ffsufs.2026.1936002",{"doi":254,"openalex_id":256,"authors":257,"venue":10,"cited_by_count":36,"oa_url":237,"card":277,"direction":56,"ingested_from":58},"W7214105860",[258,261,263,266,268,270,272,275],{"name":259,"orcid":260},"Yuanfeng Zhao","https:\u002F\u002Forcid.org\u002F0000-0001-6762-7906",{"name":262,"orcid":9},"Ruofei Guan",{"name":264,"orcid":265},"Jiang Ran","https:\u002F\u002Forcid.org\u002F0009-0001-4635-2402",{"name":267,"orcid":9},"Q. Wang",{"name":269,"orcid":9},"Hao Deng",{"name":271,"orcid":9},"Jingrui Zhou",{"name":273,"orcid":274},"Kaikai Zhang","https:\u002F\u002Forcid.org\u002F0000-0001-6380-4928",{"name":276,"orcid":9},"Nan Jiang",{"tldr":278,"method":279,"finding":280,"direction":56,"opportunity":281},"研究牛粪生物炭特性及其与无机\u002F有机肥配施对土壤、微生物和青贮玉米产量的影响。","200-600°C热解牛粪生物炭表征，结合田间试验分析土壤、微生物与玉米产量。","300°C热解生物炭配合减半无机肥使玉米增产9.83%，并改善土壤与微生物群落。","可探究牛粪生物炭替代化肥的长期固碳效应及不同土壤类型下的微生物调控机制。","2026-09-24T23:30:07.724953Z"]