[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5032":3,"related-5032":70},{"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":39,"search_phrases":64,"slug":67,"view_count":68,"doi":8,"paper":8,"created_at":69},5032,"大商所:完善饲料养殖衍生品工具体系 多措并举护航畜牧产业风险管理","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F10\u002F14\u002F991030748.html","10月14日,大连商品交易所副总经理王玉飞在第19届国际油脂油料大会暨农畜产业(衍生品)大会饲料养殖论坛上表示,大商所围绕饲料养殖板块持续完善工具体系,上市品种序列齐全、覆盖上下游形成闭环。1—8月饲料养殖品种日均成交和日均持仓同比分别增长23%和6%,生猪期货日均持仓突破50万手,较上市初期增长5倍以上。今年以来已在8个省区支持开展43个生猪'保险+期货'项目。下一步将加快工具创新,推进乙醇、果葡糖浆、鸡肉等新品种上市,研究推进增设生猪偶数月合约,深化产业服务、推动期现融合走深走实。",null,"10月14日，大连商品交易所副总经理王玉飞在第19届国际油脂油料大会暨农畜产业（衍生品）大会饲料养殖论坛上表示，今年国家明确提出强化生猪产能综合调控，中央政治局会议也提出稳定生猪等农产品价格。有各项政策的托底保障，产业发展的基本盘保持总体稳定。但今年以来的市场波动，也给实体企业带来了经营压力。特别是生猪行业，传统“猪周期”规律被打破，受前期产能释放影响，价格整体低位运行，产业承亏显著。此外，今年的超强厄尔尼诺现象也为饲料原料等品种的供应、价格带来了显著的不确定性。针对全产业链的风险特点，大商所围绕饲料养殖板块持续完善工具体系，上市品种序列齐全，覆盖上下游形成闭环，精准匹配产业各环节的风险管理需求。\n\n在品种提质增效方面，大商所坚持贴近产业实际，推出豆粕等品种集团交割及自报升贴水业务，顺应现货市场变化调整生猪期货交割体重标准，上市豆粕和玉米等系列期权，调整鸡蛋期权持仓限额，延长期权最后交易日，优化期权合约挂牌规则，切实提升期权服务产业的适配性和精准度。白条猪肉价格指数已实现多家头部屠宰企业直连采价，为后续产品创新打下了坚实基础。\n\n在合约平稳运行方面，今年1—8月，饲料养殖品种整体运行稳中有进。相关期货期权品种日均成交和日均持仓同比分别增长23%和6%，生猪期货日均持仓突破50万手，较上市初期增长5倍以上。油脂油料品种实现全面对外开放，境外客户稳定参与。产业参与度和市场影响力持续提升。\n\n在深化市场服务方面，大商所以产融基地、龙头企业“一对一”“农保计划”“企风计划”为培育平台和实践抓手，覆盖多元主体，营造大商所市场工程良好氛围。今年以来，大商所已开展饲料养殖类培训近百场，在8个省区支持开展了43个生猪“保险+期货”项目，在猪价下行期为养殖户的收益提供保障。\n\n王玉飞表示，下一步，大商所将继续在中国证监会的坚强领导下，紧紧围绕国家畜牧产业发展方向与产业实际需求，重点做好三方面工作。一是加快工具创新，拓宽服务覆盖面。持续丰富产品板块工具体系，加快推进乙醇、果葡糖浆、鸡肉等新品种、新工具的研发上市进程。二是做精做细已上市品种，提升风险服务能力。研究推进增设生猪偶数月合约等工作，促进期货期权协同发展。三是深化产业服务，推动期现融合走深走实。持续深化产业服务，针对产业痛点，加大市场服务深度和广度；提升对中小主体的服务力度，探索更多可复制、可推广的业务模式，帮助更多市场主体懂期货、用期货。","农民日报 中国农网 2026 年 10 月 14 日","2026-10-14T13:32:00Z","报道",10,false,88,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},26,22,18,14,8,1,"大商所饲料养殖衍生品工具体系建设与生猪保险+期货项目进展，属全国性产业级动态，数据与政策方向明确，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31],"饲料养殖","生猪期货","保险+期货","衍生品工具","畜牧产业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"C4","feed","饲料与饲草","\u002Ftopic\u002Flivestock\u002Ffeed","C",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,52,57],{"code":33,"score":46,"supported":47,"title":48,"abstract":50,"tags":51},11,true,[49],"饲料",[49],[],{"code":37,"score":21,"supported":47,"title":53,"abstract":55,"tags":56},[54],"畜牧",[],[],{"code":58,"score":59,"supported":47,"title":60,"abstract":61,"tags":63},"C1",3,[],[62],"生猪",[],[65,66],"大商所 生猪期货 保险 期货","大商所 饲料养殖 衍生品","大商所生猪期货保险期货-5032",0,"2026-10-16T00:13:03.080236Z",{"total":71,"page":22,"page_size":71,"items":72},6,[73,180,246,303,344,405],{"id":74,"title":75,"url":76,"summary":77,"summary_zh":78,"content":8,"source_name":79,"source_url":76,"published_at":80,"category":81,"cover_url":8,"hotness":13,"is_selected":14,"score":82,"score_detail":83,"sources":86,"tags":88,"primary_topic":94,"secondary_topics":100,"classification":108,"search_phrases":146,"slug":149,"view_count":68,"doi":150,"paper":151,"created_at":179},5573,"Improving alfalfa nitrogen estimation with canopy structural priors from DSSAT–PROSAIL and UAV hyperspectral data","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eja.2026.128375","Accurate estimation of nitrogen (N) concentration in alfalfa ( Medicago sativa L .) supports forage quality assessment and harvest scheduling. Empirical remote sensing models often overfit because of confounding effects of three-dimensional canopy structure. Incorporating structural parameters can stabilize biochemical inversions, but concurrent in situ morphological measurements are difficult to acquire at scale. We developed the Morphology-Aware Latent Embedding Network (MALENet), a hybrid framework integrating physiological and morphological mechanisms with hyperspectral data. The Decision Support System for Agrotechnology Transfer (DSSAT), coupled with the PROSAIL radiative transfer model, generated a structurally rich synthetic hyperspectral prior. A convolutional neural network (CNN) with a Squeeze-and-Excitation (SE) attention mechanism, was pre-trained on these data to distill ecophysiological knowledge into a dense latent representation. This mechanistically derived embedding was then fused with empirical hyperspectral measurements collected under diverse field conditions. Evaluation using multi-year field quadrats in the Hexi Corridor showed improved predictive performance ( R² = 0.71, RMSE = 0.30%) relative to conventional machine learning and deep learning models (LASSO-ANN: R² = 0.61; CNN: R² = 0.66). Feature attribution indicated that MALENet used near-infrared multiple scattering (58.3% attribution) as a structural proxy to calibrate nitrogen concentration retrieval against the confounding effects of canopy architecture. Despite constraints imposed by sample size and PROSAIL's 1D canopy assumption, these findings demonstrate the potential of physically guided deep learning to use structural information for agricultural trait retrieval in precision forage management.","准确估算紫花苜蓿（Medicago sativa L.）的氮浓度有助于饲草品质评估和收获期安排。经验性遥感模型常因三维冠层结构的混杂效应而出现过拟合。引入结构参数可以稳定生化反演，但同步开展原位形态学测量难以大规模获取。我们开发了形态感知潜在嵌入网络（Morphology-Aware Latent Embedding Network，MALENet），这是一个将生理与形态机制同高光谱数据相结合的混合框架。农业技术转移决策支持系统（Decision Support System for Agrotechnology Transfer，DSSAT）与PROSAIL辐射传输模型耦合，生成了结构信息丰富的合成高光谱先验数据。在此基础上，预训练了一个带有挤压—激励（Squeeze-and-Excitation，SE）注意力机制的卷积神经网络（convolutional neural network，CNN），将生态生理学知识提炼为稠密潜在表征。随后，将这一机制性导出的嵌入与在不同田间条件下采集的经验性高光谱测量数据相融合。利用河西走廊多年田间样方进行的评估显示，相较于传统机器学习和深度学习模型（LASSO-ANN：R² = 0.61；CNN：R² = 0.66），预测性能有所提升（R² = 0.71，RMSE = 0.30%）。特征归因表明，MALENet利用近红外多次散射（归因占比58.3%）作为结构代理，以校准氮浓度反演，抵御冠层结构的混杂效应。尽管受样本量和PROSAIL一维冠层假设的限制，这些发现表明，物理引导的深度学习有潜力利用结构信息，在精准饲草管理中进行农业性状反演。","European Journal of Agronomy","2026-10-21T00:00:00Z","论文",80,{"impact":84,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":85},16,"该研究将作物模型与辐射传输模型耦合生成结构先验，并结合无人机高光谱数据反演苜蓿氮素，方法新颖、田间验证扎实，对精准饲草管理有参考价值，值得进入每日精选。",[87],{"name":79,"url":76},[89,90,91,92,93],"智慧农业","农业人工智能","农业遥感","氮素监测","紫花苜蓿",{"code":95,"slug":96,"name":97,"path":98,"parent_code":99},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","A",[101,107],{"code":102,"slug":103,"name":104,"path":105,"parent_code":106},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":109},{"candidates":110,"agricultural_evidence":47},[111,118,125,131,141],{"code":102,"score":19,"supported":47,"title":112,"abstract":114,"tags":117},[113],"hyperspectral",[115,116,113],"遥感","remote 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Liang","https:\u002F\u002Forcid.org\u002F0000-0001-5599-6587",{"name":166,"orcid":8},"Yongjia Hu",{"name":168,"orcid":169},"Qisheng Feng","https:\u002F\u002Forcid.org\u002F0009-0000-1391-9591",{"name":171,"orcid":8},"吴彩霞",{"tldr":173,"method":174,"finding":175,"direction":176,"opportunity":177},"构建MALENet融合DSSAT-PROSAIL结构先验与无人机高光谱，提升苜蓿氮浓度估算精度。","DSSAT耦合PROSAIL生成合成高光谱先验，预训练CNN-SE网络，再融合田","MALENet精度优于传统机器学习和深度学习模型，R²达0.71，近红外多次散射作为结构代理贡献58","农业遥感与作物表型","可探索将作物模型结构先验迁移至其他牧草或作物生化参数反演，并缓解PROSAIL一维冠层假设局限。","openalex","2026-10-22T11:20:39.622844Z",{"id":181,"title":182,"url":183,"summary":184,"summary_zh":8,"content":185,"source_name":186,"source_url":8,"published_at":187,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":188,"score_detail":189,"sources":193,"tags":195,"primary_topic":200,"secondary_topics":201,"classification":214,"search_phrases":241,"slug":244,"view_count":68,"doi":8,"paper":8,"created_at":245},5519,"四川农科院资环所赴简阳调研 推进粗饲料加工与种养循环落地","https:\u002F\u002Fwww.chinawestagr.com\u002Ftszl\u002Fshowts.asp?id=67504","10月9日院资环所（草业所）副所长朱永群一行赴简阳市平泉街道调研座谈，汇报「天府农科」四川省平原丘陵区粗饲料加工利用研究院项目建设进展。三方就共建饲草料加工示范点、推进种草养猪等绿色循环项目达成共识，强调立足实际选准主导品种与技术模式，形成「饲料—养殖—粪肥—农田」闭环，把示范基地建成可学可复制的样板。","λԺʻ                ʱ䣺2026\u002F10\u002F16331\n\nΪ᳹ʵҹƶDzݲҵչľ߲𣬼ӿƼɹת2026109գԺʻҵȺоԱһиƽȪ̸ֵƽȪֵίֵ֣ίǡ´¼ֵũҵۺϷġͩйظͬ־пũƼ޹˾³¡ܾˣԺʻҵƹܿƿƳ޸㸱оԱҵ̷оʿȲμӡ\n\nϣ㱨“‘츮ũ’ĴʡƽԭϼӹоԺĿ”Ľ豳岼ֺ½չ¶³˹˾ҵͺϣDzϼӹʾ㣬ӿƽֲɫѭĿ˽ֵԴͲҵʾֵոԴḻֳϺãDzֲϻôַţϣڼ˲ϵõԺֵ֧֣õءùϡ\n\nȺڽָҪʵѡ׼ƷֺͼģʽḻDzϲƷߣͻ“Բݴ”ѭγ“—ֳ——ũ”ջעر׼ƶƷʾؽɿѧɸƵ塣","四川省农业科学院 2026-10-20","2026-10-20T00:00:00Z",49,{"impact":190,"substance":13,"depth":21,"authority":191,"freshness":71,"relevant":22,"comment":192},12,13,"省级科研机构赴地方推进粗饲料加工与种养循环落地的调研通稿，有具体合作与示范意图，但属区域性进展，信息增量有限，不宜进入每日精选。",[194],{"name":186,"url":183},[196,197,198,199],"院企合作","科技成果转化","种养循环","粗饲料加工",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[202,208],{"code":203,"slug":204,"name":205,"path":206,"parent_code":207},"E1","food-processing","加工与食品制造","\u002Ftopic\u002Ffood-supply\u002Ffood-processing","E",{"code":209,"slug":210,"name":211,"path":212,"parent_code":213},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",{"status":40,"locked":14,"version":41,"method":42,"evidence":215},{"candidates":216,"agricultural_evidence":47},[217,221,225,230,235],{"code":33,"score":20,"supported":47,"title":218,"abstract":219,"tags":220},[49],[49,128],[],{"code":203,"score":46,"supported":47,"title":222,"abstract":223,"tags":224},[199],[199],[],{"code":209,"score":226,"supported":47,"title":227,"abstract":228,"tags":229},9,[198],[],[198],{"code":58,"score":59,"supported":47,"title":231,"abstract":232,"tags":234},[],[233],"养猪",[],{"code":236,"score":237,"supported":14,"title":238,"abstract":239,"tags":240},"G1",2,[],[],[197,196],[242,243],"四川省农科院 简阳 粗饲料","简阳 种养循环 示范基地","四川省农科院简阳粗饲料-5519","2026-10-22T00:07:04.243033Z",{"id":247,"title":248,"url":249,"summary":250,"summary_zh":8,"content":251,"source_name":252,"source_url":8,"published_at":253,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":254,"score_detail":255,"sources":258,"tags":260,"primary_topic":266,"secondary_topics":271,"classification":273,"search_phrases":298,"slug":301,"view_count":68,"doi":8,"paper":8,"created_at":302},5440,"黑龙江农科院青贮大麦复种大豆模式熟化 后茬「龙豆27号」亩产 208.93 公斤","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F19\u002Fcontent_598876.html","由国家产业技术体系哈尔滨综合试验站站长孙丹带领的黑龙江省农科院团队，完成 3 月至 10 月青贮大麦复种大豆全年种植收获周期。哈尔滨双城区示范基地前茬「龙饲麦7号」平均亩产 1.8 吨，后茬早熟高油大豆「龙豆27号」经东北地理与农业生态所、东北农业大学、省农科院植保所与耕作栽培研究所等专家实收测产，平均亩产 208.93 公斤，较去年 201.2 公斤增长约 3.84%，再创历史新高。鹤岗军川农场 3000 亩规模化示范取得青贮大麦亩产 1.6 吨、大豆亩产 186.67 公斤。","近日，由国家产业技术体系哈尔滨综合试验站站长孙丹带领团队在哈尔滨市双城区、鹤岗军川农场等地开展的青贮大麦复种大豆试验示范顺利完成了3月至10月的全年种植收获周期。今年，该模式进一步扩大示范面积，标志着黑龙江省麦豆复种技术从创新突破迈向成熟应用，为寒地农业提高土地利用效率、实现粮食增产增效提供了成熟可靠的技术路径。\n\n今年，哈尔滨市双城区“大麦-大豆”复种技术示范基地迎来丰收测产。其中，6月收获的前茬青贮大麦“龙饲麦7号”平均亩产达1.8吨；后茬早熟高油大豆“龙豆27号”经中国科学院东北地理与农业生态研究所农业技术中心、东北农业大学、黑龙江省农业科学院植物保护研究所、省农业科学院耕作栽培研究所、双城区农业技术推广中心等单位专家组成的测产组现场实收测产，平均亩产达208.93公斤，较去年的201.2公斤增长约3.84%，再创历史新高。两茬作物均取得良好收成，前茬青贮大麦在干旱条件下仍保持较高产量，后茬大豆同比增产，进一步彰显了麦豆复种模式的稳产增收优势与推广应用潜力。\n\n实实在在的丰收成果，让麦豆复种模式有了更强的推广底气，也让越来越多农户看到了“一年双收”的增产潜力。示范成效的持续显现，进一步增强了农户对这一种植模式的信心。今年，在鹤岗军川农场的3000亩土地开展麦豆复种规模化示范，最终取得了前茬青贮大麦亩产1.6吨、后茬大豆亩产186.67公斤的良好收成。从最初的“不敢试、不会种、怕卖不出”，到如今敢于尝试、主动参与，农户种植信心的逐步增强，背后既离不开早熟高产品种的有力支撑，更得益于科研、政府、农户与企业的协同发力。\n\n麦豆复种模式的成功实践，离不开科技创新的有力支撑。黑龙江省农科院孙丹团队充分发挥科研优势，针对寒地生长季短、两茬作物茬口衔接紧等难题，提供适宜寒地种植的早熟青贮大麦和早熟高油大豆优良品种，并通过全程技术指导、田间培训和关键环节技术服务，为两茬作物高效衔接、稳产增收提供了坚实科技保障。在科研团队的示范引领下，当地政府积极推动、农户主动参与，麦豆复种模式逐步从试验示范走向规模化应用。同时，针对当地奶业新鲜饲草供应不足、依赖外购的现实需求，该模式通过粮饲兼顾、一地双收，有效拓宽了青贮饲料来源，为缓解季节性饲草供需矛盾、推动种养结合和农业增效、农民增收提供了新路径。","科技日报 2026-10-19","2026-10-19T00:00:00Z",71,{"impact":19,"substance":256,"depth":119,"authority":190,"freshness":71,"relevant":22,"comment":257},20,"省级科研团队主导的麦豆复种模式规模化示范，含实测产量新数据与品种支撑，具推广参考价值，但属区域技术进展，时效稍滞后。",[259],{"name":252,"url":249},[261,262,263,264,265],"寒地农业","大豆育种","种养结合","青贮大麦","麦豆复种",{"code":267,"slug":268,"name":269,"path":270,"parent_code":99},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",[272],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":274},{"candidates":275,"agricultural_evidence":47},[276,281,286,292],{"code":267,"score":190,"supported":47,"title":277,"abstract":279,"tags":280},[278],"大豆",[278],[262],{"code":33,"score":46,"supported":47,"title":282,"abstract":284,"tags":285},[283],"青贮",[283],[],{"code":287,"score":59,"supported":47,"title":288,"abstract":289,"tags":291},"F4",[],[290],"植保",[],{"code":293,"score":59,"supported":47,"title":294,"abstract":295,"tags":297},"H6",[],[296],"农业生态",[],[299,300],"黑龙江农科院 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以上，为青藏高原高寒区饲草短缺提供品种支撑。","为进一步完成好西藏自治区“揭榜挂帅”项目，更好推进饲用小黑麦新品种在青藏高原推广种植，服务当地草牧业高质量发展。近日，旱作所与西藏自治区农牧科学院草业科学研究所共同组织，邀请西藏自治区牧草产业技术体系首席科学家、西藏农牧大学魏学红教授，国家牧草产业技术体系青藏高原牧草栽培岗位专家、兰州大学王自奎教授，西藏自治区草品种审定委员会专家、中国科学院青藏高原研究所斯确多吉研究员，西藏自治区牧草产业技术体系那曲试验站站长、那曲市农牧业（草业）科技研究推广中心严俊博士，以及项目组主管领导、团队骨干一行10余人，先后赴拉萨曲尼帕、曲水采纳乡、曲水达嘎乡和那曲色尼区等地，对团队创制的饲用小黑麦新品系、新品种进行了田间现场鉴定和示范观摩。旱作所领导及团队主要成员全程参与活动。\n\n在试验、示范基地李源研究员结合项目研究进展，重点汇报了创制的12份饲用小黑麦新种质及4份优异新品系的品种特性和田间表现，与会专家对12份饲用小黑麦新种质试验进行了田间观摩，通过调查生育期、株型、分蘖数、株高、芒长、蜡质层、抗逆性等指标，一致认为，新种质田间表现性状稳定、整齐一致。其中HS139、HS186、HS611、HS622、HS735、HS758等新种质在抗旱、耐寒性突出，综合性状好。通过对4份优异新品系现场测产，新品系干草产量较对照增产10%以上，增产显著。受到参会专家和企业代表的认可，一致认为饲用小黑麦可为解决高寒区饲草短缺问题提供品种支撑，助推产业持续高效发展。\n\n此次观摩和田间鉴评观摩活动，加深了西藏高海拔区科研管理、推广部门以及相关饲草企业对旱作所饲用小黑麦新品种的了解，为饲用小黑麦新品种在西藏高海拔地区示范推广奠定了基础。","河北省农林科学院 2026-10-19",64,{"impact":84,"substance":19,"depth":190,"authority":190,"freshness":71,"relevant":22,"comment":312},"省级科研机构联合西藏开展的饲用小黑麦田间鉴评，含新品系测产数据与专家现场结论，具实质信息，但属区域细分领域进展，时效稍滞后。",[314],{"name":309,"url":306},[316,317,318,319,320],"种业振兴","饲用小黑麦","草牧业","技术示范","高寒牧草",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":324},{"candidates":325,"agricultural_evidence":47},[326,330,334],{"code":33,"score":59,"supported":47,"title":327,"abstract":328,"tags":329},[],[128],[],{"code":95,"score":22,"supported":14,"title":331,"abstract":332,"tags":333},[],[],[317],{"code":335,"score":22,"supported":14,"title":336,"abstract":337,"tags":338},"F1",[],[],[316],[340,341],"河北农科院 饲用小黑麦 西藏","饲用小黑麦 新品种 鉴评","河北农科院饲用小黑麦西藏-5439","2026-10-21T00:10:01.564012Z",{"id":345,"title":346,"url":347,"summary":348,"summary_zh":8,"content":349,"source_name":350,"source_url":8,"published_at":351,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":352,"score_detail":353,"sources":355,"tags":357,"primary_topic":362,"secondary_topics":363,"classification":374,"search_phrases":400,"slug":403,"view_count":22,"doi":8,"paper":8,"created_at":404},5123,"盐碱地里青贮玉米「争气」了 黑龙江省农科院「龙育15」「龙育17」松嫩平原盐碱旱田亩产全株三四吨","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F16\u002Fcontent_597377.html","黑龙江省农业科学院草业研究所承担的青贮玉米新品种示范推广及产业化应用项目,围绕松嫩平原西部盐碱化旱田选育的「龙育15」「龙育17」两个品种,在盐碱地块上平均增产超一成,亩产全株三四吨,粗淀粉含量达32%。项目组围绕保全苗、稳产量、提品质给种植企业做全流程服务,留茬30公分平衡产量与品质。项目建成1.2万亩高产优质栽培示范,每年在安达市推广3万亩以上,还走进内蒙古等周边饲草产区。千亩套种示范田里玉米垄沟套种燕麦,青贮玉米产量持平,每亩多收600多公斤燕麦,亩增收300多元,燕麦蛋白含量高,混进青贮补齐蛋白短板。","![Image 3](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 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[滚动](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fnode_324.html)\n\n[![Image 5](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Ffdj.png)](https:\u002F\u002Fsearch.stdaily.com:8888\u002Ffounder\u002FNewSearchServlet.do?siteID=1)[登录](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html?url=https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F16\u002Fcontent_597377.html)[-](https:\u002F\u002Fwww.stdaily.com\u002Fapi\u002Fwebsite\u002FpersonalCenter.html)\n\n 所在位置： [中国科技网首页](https:\u002F\u002Fwww.stdaily.com\u002Findex.html)>[滚动](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fnode_324.html)> 正文 \n\n# 盐碱地里，青贮玉米“争气”了\n\n 2026-10-16 15:09:54 来源: 科技日报 点击数：\n\n![Image 6](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimg\u002F20240301dzv.png)0\n\n[](javascript:; \"新浪微博\")[](javascript:; \"微信\")\n\n**科技日报记者 朱虹**\n\n暮秋的黑龙江省安达市天高云淡，一垄垄盐碱旱田刚翻过土，泛着浅浅的白霜。10月13日，记者跟随黑龙江省农科院草业研究所研究员林红，穿过连片田块，走进安达绿生源现代养殖场。还没进牛舍，一股青贮特有的酸香就扑面而来。黑白花奶牛次第低头，把脑袋埋进食槽，咀嚼声此起彼伏。饲养员抄起一捧青贮料，深绿的茎叶裹着饱满的籽粒，“这就是咱们的‘龙育15’‘龙育17’。”\n\n![Image 7](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F16\u002F597377_a90e9d31-3cb7-4c4d-b464-ab39a784e19ccopy.jpg)\n\n安达素有“中国牛城”之名，可松嫩平原西部这片土地，盐碱是绕不开的坎。土壤碱化重、地力弱，青贮玉米一度种不出像样的品质，干物质、淀粉指标上不去，优质饲草供不应求，牛越养越“挑食”。能不能在盐碱地里种出合格的青贮玉米，成了当地草畜产业躲不开的考题。而由黑龙江省农科院草业研究所承担的黑龙江省农业科技创新跨越工程项目——青贮玉米新品种示范推广及产业化应用，正是冲着这道题来的。\n\n“高产、优质，适合青贮饲料用途，这是我们选育最核心的标尺。”站在牛舍边，林红介绍，青贮玉米拼的是高淀粉、高干物质，“龙育15”“龙育17”的培育目标就是“产量和品质两头都要”。它们在盐碱地块上，平均增产超一成，亩产全株三四吨，粗淀粉含量能到32%，肉牛吃、长肉快，奶牛吃、奶量高。\n\n良种到手，技术指导一路跟到地头。项目组围绕保全苗、稳产量、提品质，给种植企业做全流程服务。“青贮玉米每亩达不到5000株，高产就没有前提。”林红说，从整地保墒到精准播种，再到田间管护，环环盯紧。\n\n![Image 8](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-10\u002F16\u002F597377_a95e303c-16eb-4ad2-bd50-703dac8cdb0acopy.jpg)\n\n最难拿捏的，是收割那一刀。收矮了，产量看着高，可地不平，土跟着卷进饲料，营养也打了折扣；收高了，品质上去了，种植户又心疼收入。此前绿生源养殖场总经理周现平就为这一刀找过项目组。林红最终给出折中方案——留茬30公分，“既保产量，又守品质，现在牧场都认这个数”。牛舍里的青贮窖已经装得满满当当，新收的料压得瓷实，来年开窖，又是一窖好饭。\n\n品种在田里扎根，推广也在向外铺开。“龙育15”“龙育17”两个品种，项目建成1.2万亩高产优质栽培示范，每年在安达市推广3万亩以上，还走进内蒙古等周边饲草产区，带动松嫩平原盐碱化旱田地力提升、绿色高效增收。千亩套种示范田里，项目组在玉米垄沟里套种燕麦，青贮玉米产量和常规种植持平，每亩却多收600多公斤燕麦，亩增收300多元；燕麦蛋白含量高，混进青贮正好补齐蛋白短板，饲料品质和喂饲效果都跟着上了台阶。\n\n一方面，项目把良种良法送进地里；另一方面，企业把产业链拉得更长。绿生源依托自有的一万多亩基地，从种到收，再到加工销售，一气呵成，牛吃不完的青贮还能外销；养殖产生的粪污经处理后还田，反哺盐碱地，把“种好草、养好牛、肥好地”串成了闭环。\n\n夕阳把草料场镀成金色，青贮裹包在田埂边排开，“龙育15”“龙育17”在这扎下根。牛槽里多了料，田里多了收成，松嫩平原的青贮玉米，在这片曾经的薄地上“争气”了。\n\n（科技日报记者 朱虹 摄）\n\n责任编辑：王倩\n\n相关稿件：\n\n![Image 9](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimages\u002Fpinglun.png)网友评论\n\n评论\n\n最热评论\n\n没有更多评论了\n\n[热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n\n[![Image 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日","2026-10-16T00:00:00Z",77,{"impact":19,"substance":256,"depth":84,"authority":20,"freshness":226,"relevant":22,"comment":354},"省级科研机构在盐碱旱田推出青贮玉米新品种并配套栽培技术，数据具体、多方信源，具行业推广价值。",[356],{"name":350,"url":347},[316,358,359,360,361],"盐碱地治理","饲草产业","良种良法","青贮玉米",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[364,369],{"code":365,"slug":366,"name":367,"path":368,"parent_code":99},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize",{"code":370,"slug":371,"name":372,"path":373,"parent_code":213},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":40,"locked":14,"version":41,"method":42,"evidence":375},{"candidates":376,"agricultural_evidence":47},[377,381,385,390,396],{"code":33,"score":84,"supported":47,"title":378,"abstract":379,"tags":380},[283],[128,283],[361,359],{"code":365,"score":190,"supported":47,"title":382,"abstract":383,"tags":384},[367],[367],[361],{"code":370,"score":190,"supported":47,"title":386,"abstract":388,"tags":389},[387],"盐碱地",[387],[358],{"code":95,"score":391,"supported":47,"title":392,"abstract":393,"tags":395},4,[],[394],"套种",[359],{"code":335,"score":237,"supported":14,"title":397,"abstract":398,"tags":399},[],[],[316,360],[401,402],"黑龙江农科院 龙育15 龙育17","松嫩平原 盐碱地 青贮玉米","黑龙江农科院龙育15龙育17-5123","2026-10-17T00:13:40.216554Z",{"id":406,"title":407,"url":408,"summary":409,"summary_zh":410,"content":8,"source_name":411,"source_url":408,"published_at":412,"category":81,"cover_url":8,"hotness":13,"is_selected":14,"score":413,"score_detail":414,"sources":416,"tags":418,"primary_topic":423,"secondary_topics":424,"classification":425,"search_phrases":442,"slug":445,"view_count":22,"doi":446,"paper":447,"created_at":490},4878,"The innovative application of plasma technology in food and medicine homology resources","https:\u002F\u002Fdoi.org\u002F10.26599\u002Ffmhr.2026.9740001","Abstract Food and medicine homology resources are increasingly constrained by climate-driven production instability, chemical-residue control, postharvest deterioration, and the demand for function-oriented products. Low-temperature plasma (LTP), also referred to in the literature as cold plasma or non-thermal plasma, is a non-equilibrium physical technology that generates reactive oxygen species (ROS), reactive nitrogen species (RNS), charged particles, electric fields, and ultraviolet (UV) photons under ambient or near-ambient bulk-temperature conditions. This review establishes an end-to-end LTP application framework for plant-, animal-, and microbial-derived food and medicine homology resources. Different from single-sector reviews, the present framework distinguishes substrate-specific regulatory logic across the whole value chain. In plant-derived resources, LTP mainly acts through physical signal-mediated stress priming, secondary metabolism regulation, microbiome modulation, postharvest quality maintenance, detoxification, sensory improvement, and waste valorization. In animal-derived resources, its application logic is centered on environmental biosecurity, feed molecular modification, protein and heme chemistry, and low-loss preservation. In microbial-derived resources, LTP is closely associated with mutagenesis breeding, cell-wall remodeling, community selection, metabolic reprogramming, and biomanufacturing efficiency. The main bottlenecks remain the absence of standardized parameter databases, incomplete understanding of plasma-biomolecule interactions, insufficient scale-up of continuous equipment, and inadequate safety evaluation systems for food and traditional medicinal materials. Future research should prioritize substrate-specific parameter standardization, multi-omics-based mechanistic elucidation, and integration with smart agriculture, precision nutrition, circular economy, and AI-assisted process control. Overall, LTP should be regarded not only as a sterilization or preservation tool, but also as a programmable physical-regulatory platform for full-chain quality formation and high-value utilization of food and medicine homology resources.","食药同源资源日益受到气候驱动的生产不稳定、化学残留控制、采后劣变以及功能导向产品需求的制约。低温等离子体（low-temperature plasma, LTP），在文献中亦称冷等离子体或非热等离子体，是一种非平衡物理技术，可在环境或近环境体相温度条件下产生活性氧（ROS）、活性氮（RNS）、带电粒子、电场和紫外（UV）光子。本综述构建了面向植物源、动物源和微生物源食药同源资源的端到端LTP应用框架。与单一领域综述不同，本框架区分了全价值链中基于基质特异性的调控逻辑。在植物源资源中，LTP主要通过物理信号介导的胁迫 priming、次生代谢调控、微生物组调节、采后品质维持、脱毒、感官改善和废弃物增值化发挥作用。在动物源资源中，其应用逻辑集中于环境生物安全、饲料分子修饰、蛋白质与血红素化学以及低损耗保鲜。在微生物源资源中，LTP与诱变育种、细胞壁重塑、群落筛选、代谢重编程和生物制造效率密切相关。主要瓶颈仍在于标准化参数数据库的缺失、等离子体-生物分子相互作用认识不完整、连续化设备放大不足以及食品和传统药材安全评价体系不完善。未来研究应优先推进基质特异性参数标准化、基于多组学的机制阐明，以及与智慧农业、精准营养、循环经济和人工智能辅助过程控制的融合。总体而言，LTP不仅应被视为一种杀菌或保鲜工具，更应被视为一个可编程的物理调控平台，用于食药同源资源的全链条品质形成和高值化利用。","Food & Medicine Homology Resources","2026-10-13T00:00:00Z",79,{"impact":19,"substance":18,"depth":19,"authority":191,"freshness":21,"relevant":22,"comment":415},"系统综述低温等离子体在食药同源资源全链条的应用框架与瓶颈，方法新颖、结论可靠，对农产品加工与智慧农业有参考价值。",[417],{"name":411,"url":408},[89,419,420,421,422],"食药同源","农产品加工","低温等离子体","绿色保鲜",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":426},{"candidates":427,"agricultural_evidence":47},[428,434,438],{"code":142,"score":429,"supported":47,"title":430,"abstract":431,"tags":433},7,[],[89,432],"smart agriculture",[89],{"code":33,"score":59,"supported":47,"title":435,"abstract":436,"tags":437},[],[49],[],{"code":203,"score":22,"supported":14,"title":439,"abstract":440,"tags":441},[],[],[420],[443,444],"低温等离子体 食药同源","冷等离子体 农产品加工","低温等离子体食药同源-4878","10.26599\u002Ffmhr.2026.9740001",{"doi":446,"openalex_id":448,"authors":449,"venue":411,"cited_by_count":68,"oa_url":408,"card":483,"direction":489,"ingested_from":178},"W7221715405",[450,452,454,456,458,460,463,466,468,470,472,474,476,479,481],{"name":451,"orcid":8},"Tao Jin",{"name":453,"orcid":8},"Xiang-Ping Su",{"name":455,"orcid":8},"Hua Liu",{"name":457,"orcid":8},"Ri-Long Huang",{"name":459,"orcid":8},"Kang-Liang Sheng",{"name":461,"orcid":462},"Ling Yan","https:\u002F\u002Forcid.org\u002F0000-0002-8806-5524",{"name":464,"orcid":465},"Shanshan Shui","https:\u002F\u002Forcid.org\u002F0000-0003-1095-7749",{"name":467,"orcid":8},"Shoaib Younas",{"name":469,"orcid":8},"Shuai Liu",{"name":471,"orcid":8},"Ao-Yu Ren",{"name":473,"orcid":8},"Hafiz-Rizwan Sharif",{"name":475,"orcid":8},"Anees-Ur Rehma",{"name":477,"orcid":478},"Shafqat Rasool","https:\u002F\u002Forcid.org\u002F0000-0002-5223-8358",{"name":480,"orcid":8},"Zia-Ur Rhman",{"name":482,"orcid":8},"Muhammad-Qasim Ali",{"tldr":484,"method":485,"finding":486,"direction":487,"opportunity":488},"综述低温等离子体在食药同源资源全链条中的创新应用，构建端到端框架。","文献综述，按植物、动物、微生物来源分类，梳理LTP作用机制与应用。","LTP是可编程物理调控平台，瓶颈在于参数标准化、机制理解、设备放大与安全评价。","农业绿色发展与碳","可研究LTP参数标准化与AI过程控制结合，用于食药同源作物采后保鲜与功能成分调控。","智慧农业 \u002F 农业物联网","2026-10-14T23:30:08.799963Z"]