[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5138":3,"related-5138":80},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":43,"slug":46,"view_count":47,"doi":48,"paper":49,"created_at":79},5138,"Housing-level demonstration of the mitigating effects of tannin-rich diets fed to dairy cows on ammonia and methane emissions in naturally ventilated conditions","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104616","Housing-level demonstration of the mitigating effects of tannin-rich diets fed to dairy cows on ammonia and methane emissions in naturally ventilated conditions。Biosystems Engineering",null,"Biosystems Engineering","2026-10-16T00:00:00Z","论文",10,false,81,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,9,1,"核心期刊论文，在牛舍尺度验证单宁日粮对氨与甲烷减排的效果，对畜牧环境信息化与绿色养殖有参考价值，但属细分领域研究，未达重大突破层级。",[23],{"name":9,"url":6},[25,26,27,28,29],"甲烷减排","奶牛养殖","氨排放","畜牧减排","单宁饲料",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"needs_review","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":13,"reason":42},[37],{"code":38,"score":20,"supported":13,"title":39,"abstract":40,"tags":41},"C2",[],[],[26],"农业相关性需要复核",[44,45],"奶牛 单宁饲料 甲烷排放","Biosystems Engineering 奶牛 氨排放","奶牛单宁饲料甲烷排放-5138",0,"10.1016\u002Fj.biosystemseng.2026.104616",{"doi":48,"openalex_id":50,"authors":51,"venue":9,"cited_by_count":47,"oa_url":6,"card":8,"direction":8,"ingested_from":78},"W7222630876",[52,55,58,61,64,66,69,72,75],{"name":53,"orcid":54},"Giovanni Lazzari","https:\u002F\u002Forcid.org\u002F0000-0002-7820-7680",{"name":56,"orcid":57},"Michael Zähner","https:\u002F\u002Forcid.org\u002F0000-0002-2750-1433",{"name":59,"orcid":60},"Christian Ammon","https:\u002F\u002Forcid.org\u002F0000-0001-6852-4992",{"name":62,"orcid":63},"A. Münger","https:\u002F\u002Forcid.org\u002F0000-0003-0360-366X",{"name":65,"orcid":8},"David Steger",{"name":67,"orcid":68},"Joachim Mohn","https:\u002F\u002Forcid.org\u002F0000-0002-9799-1001",{"name":70,"orcid":71},"Michael Kreuzer","https:\u002F\u002Forcid.org\u002F0000-0002-9978-1171",{"name":73,"orcid":74},"Frigga Dohme‐Meier","https:\u002F\u002Forcid.org\u002F0000-0002-1693-2246",{"name":76,"orcid":77},"Sabine Schrade","https:\u002F\u002Forcid.org\u002F0000-0002-1846-3498","openalex","2026-10-17T23:30:05.389670Z",{"total":81,"page":20,"page_size":81,"items":82},6,[83,186,234,303,356,411],{"id":84,"title":85,"url":86,"summary":87,"summary_zh":88,"content":8,"source_name":89,"source_url":86,"published_at":90,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":91,"score_detail":92,"sources":97,"tags":99,"primary_topic":103,"secondary_topics":108,"classification":109,"search_phrases":160,"slug":163,"view_count":47,"doi":164,"paper":165,"created_at":185},4558,"From measurement to mitigation: a historical review of livestock emission research in the U.S. Southern and Central Great Plains","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1951531","As airborne emissions from agricultural operations began to receive more concentrated scrutiny, the federal Task Force on Agricultural Air Quality was established in the 1996 Farm Bill and began operations in 1997 to advance research and provide solutions for sustainable agricultural operations with primary focus on particulate matter, ozone, and odors. This historical review synthesizes research conducted by institutions serving the southern and central Great Plains from the early 2000s to mid-2010s across cattle, dairy, swine, and poultry production systems, identifying three interdependent research pillars: measurement technology, emission quantification, and abatement solutions. Research priorities varied by species, with cattle and dairy operations focusing primarily on particulate matter (PM), ammonia (NH 3 ), and greenhouse gas (GHG) emissions, while swine and poultry studies concentrated on odor and volatile organic compounds (VOCs). Measurement technology innovations proved foundational to reliable emission science. Quantification studies established baseline emission factors essential for regulatory compliance while revealing critical temporal dynamics and environmental drivers. However, persistent knowledge gaps emerged, particularly in transferring abatement solution effectiveness from controlled laboratory conditions to commercial settings, where performance declined substantially due to extreme spatial and environmental variability. Most importantly, the research field shifted from pursuing simple pollution reduction toward systematic approaches that monitor and manage multiple pollutants. We recommend that future research must develop frameworks that systematically assess pollutant trade-offs alongside economic feasibility to enable science-based mitigation strategies balancing environmental protection with agricultural sustainability.","随着农业活动的空气排放开始受到更集中的审视，联邦农业空气质量特别工作组在1996年《农业法案》中成立，并于1997年开始运作，旨在推进研究并为可持续农业经营提供解决方案，重点关注颗粒物、臭氧和气味。本历史综述综合了服务于大平原南部和中部地区的机构在2000年代初至2010年代中期针对肉牛、奶牛、猪和家禽生产系统所开展的研究，识别出三个相互依存的研究支柱：测量技术、排放量化和减排解决方案。研究重点因畜种而异，肉牛和奶牛养殖主要关注颗粒物（PM）、氨（NH₃）和温室气体（GHG）排放，而猪和家禽研究则集中于气味和挥发性有机化合物（VOCs）。测量技术创新被证明是可靠排放科学的基础。量化研究建立了合规监管所必需的基准排放因子，同时揭示了关键的时间动态和环境驱动因素。然而，持续存在的知识空白也随之显现，特别是在将减排解决方案的有效性从受控实验室条件转移到商业环境方面，由于极大的空间和环境变异性，其性能显著下降。最重要的是，该研究领域已从追求简单的污染削减转向监测和管理多种污染物的系统性方法。我们建议，未来研究必须开发能够系统评估污染物权衡与经济可行性的框架，以促成基于科学的减排策略，在环境保护与农业可持续性之间取得平衡。","Frontiers in Sustainable Food Systems","2026-10-09T00:00:00Z",78,{"impact":16,"substance":93,"depth":94,"authority":95,"freshness":19,"relevant":20,"comment":96},21,17,13,"系统梳理美国大平原畜牧排放研究三大支柱与减排落地瓶颈，对农业环境信息化与绿色养殖有参考价值，但属综述性论文、地域性强，未达重大突破层级。",[98],{"name":89,"url":86},[100,27,101,28,102],"农业温室气体","可持续养殖","空气质量",{"code":38,"slug":104,"name":105,"path":106,"parent_code":107},"ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants","C",[],{"status":110,"locked":13,"version":33,"method":34,"evidence":111},"classified",{"candidates":112,"agricultural_evidence":114},[113,121,127,134,141,148,154],{"code":38,"score":19,"supported":114,"title":115,"abstract":116,"tags":120},true,[],[117,118,119],"奶牛","肉牛","cattle",[],{"code":107,"score":122,"supported":114,"title":123,"abstract":125,"tags":126},8,[124],"livestock",[],[],{"code":128,"score":81,"supported":114,"title":129,"abstract":130,"tags":133},"B7",[],[131,132],"温室","greenhouse",[],{"code":135,"score":81,"supported":114,"title":136,"abstract":137,"tags":140},"C3",[],[138,139],"家禽","poultry",[],{"code":142,"score":143,"supported":114,"title":144,"abstract":145,"tags":147},"C1",3,[],[146],"swine",[],{"code":149,"score":143,"supported":114,"title":150,"abstract":151,"tags":153},"H8",[],[152],"可持续农业",[],{"code":155,"score":156,"supported":13,"title":157,"abstract":158,"tags":159},"H4",2,[],[],[100,27],[161,162],"美国大平原 畜牧 排放","畜牧 氨排放 温室气体","美国大平原畜牧排放-4558","10.3389\u002Ffsufs.2026.1951531",{"doi":164,"openalex_id":166,"authors":167,"venue":89,"cited_by_count":47,"oa_url":86,"card":179,"direction":183,"ingested_from":78},"W7221195799",[168,170,173,176],{"name":169,"orcid":8},"Sirapoom Peanusaha",{"name":171,"orcid":172},"Guillermo S Marcillo","https:\u002F\u002Forcid.org\u002F0000-0002-5343-1088",{"name":174,"orcid":175},"Jacek A. Koziel","https:\u002F\u002Forcid.org\u002F0000-0002-2387-0354",{"name":177,"orcid":178},"Brent W. Auvermann","https:\u002F\u002Forcid.org\u002F0000-0001-6506-2921",{"tldr":180,"method":181,"finding":182,"direction":183,"opportunity":184},"综述美国南部大平原畜牧排放研究，梳理测量、量化与减排三大支柱及知识缺口。","历史文献综述，覆盖2000年代初至2010年代中期牛、奶牛、猪、禽研究。","减排技术从实验室到商业场景效果显著下降，研究转向多污染物系统管理。","农业绿色发展与碳","可构建多污染物权衡与经济可行性耦合的评估框架，填补商业场景减排验证空白。","2026-10-10T23:30:06.314794Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":8,"content":191,"source_name":192,"source_url":8,"published_at":10,"category":193,"cover_url":8,"hotness":12,"is_selected":13,"score":194,"score_detail":195,"sources":199,"tags":201,"primary_topic":206,"secondary_topics":207,"classification":208,"search_phrases":229,"slug":232,"view_count":47,"doi":8,"paper":8,"created_at":233},5276,"寒区奶牛液体粪肥还田技术入选2026黑龙江农业主推技术 累计推广83.31万亩","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697083643218477622\u002F","黑龙江省黑土保护利用研究院研究员高洪生团队依托国家重点研发计划、黑龙江省农科院创新工程等项目历经近10年攻关,成功研发出适配寒区农业生产节律的奶牛液体粪肥还田成套技术体系;2022—2024年累计推广应用面积83.31万亩、消纳还田奶牛液体粪肥467.41万立方米;2026年该技术正式入选黑龙江省农业主推技术名单。","[](https:\u002F\u002Fwww.toutiao.com\u002F)\n\n*   关注 \n*   推荐 \n*   北京   \n*   视频 \n*   财经 \n*   科技 \n*   热点 \n*   国际 \n*   更多 \n\n    *   军事 \n    *   体育 \n    *   娱乐 \n    *   历史 \n    *   美食 \n    *   [直播](https:\u002F\u002Flive.ixigua.com\u002F) \n    *   旅游 \n    *   [懂车帝](https:\u002F\u002Fwww.dongchedi.com\u002F?zt=tt_pc_home_channel) \n\n搜索\n\n[消息](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697083643218477622\u002F)\n\n[发布](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697083643218477622\u002F)\n\n[登录](https:\u002F\u002Fsso.toutiao.com\u002Flogin\u002F?service=https%3A%2F%2Fwww.toutiao.com%2Farticle%2F7697083643218477622%2F%3Fwid%3D1792368503998)\n\n2\n\n评论\n\n收藏\n\n分享\n\n*   转发到头条 \n*   复制链接 \n*   微信  微信扫码分享  \n*   新浪微博 \n*   QQ空间 \n\n# 寒区奶牛液体粪肥还田技术变废为宝\n\n2026-10-16 10:15·[中工网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAMnblevmY0Qt-QgRg_pKWHVMrbv_lg0VMmEMpEEOk6Vw\u002F?source=tuwen_detail)\n\n科技日报记者 朱虹\n\n前不久，寒区奶牛液体粪肥还田技术推介观摩现场会暨畜禽液体粪污资源化利用专题培训会在哈尔滨举行。本次会议由黑龙江省黑土保护利用研究院牵头，联合黑龙江省奶业协会、省奶牛产业技术协同创新推广体系主办，聚焦寒区畜禽粪污资源化利用、绿色种养循环农业发展，开展技术研讨与现场观摩交流。\n\n黑龙江作为全国核心优质奶源基地，规模化奶牛养殖产业体量庞大。但受高寒气候制约，区域土壤封冻期长、粪污还田窗口期短，叠加粪污贮存风险高、转运难度大、施用技术粗放、专用装备短缺等痛点，长期存在奶牛液体粪污“存不住、运不出、还田难”困境。这造成养殖端有机养分资源与种植端耕地肥力需求时空错配，既污染养殖区域生态环境，又浪费珍贵的有机农业资源，制约种养循环农业高质量发展。\n\n针对寒区养殖粪污资源化利用的技术短板，黑龙江省黑土保护利用研究院研究员高洪生团队，依托国家重点研发计划、黑龙江省农业科学院创新工程等项目，历经近10年持续攻关、多点田间试验与示范验证，成功研发出适配寒区农业生产节律的奶牛液体粪肥还田成套技术体系，破解高寒地区粪污资源化利用的核心难题。\n\n这套技术构建起一条“冬天存得住、春天运得出、田里施得准”的流水线：先把粪水集中起来，固液分离后把液体粪肥密封贮存发酵，解决封冻期不能还田、容易污染的问题；等土地解冻，用像“脐带”一样的泵和软管把粪肥直接从贮存池送到田间，替代罐车拉运，降低成本；还田前检测粪肥养分、测算地块承受力，再按季节用喷洒、深埋注入或滴灌等方式精准施入，抓住春、夏、秋的还田窗口。这样就把粪污从“污染负担”变成了“肥料资源”。同时，项目配套的托管式（脐带）输送装备国产化率超95%，大幅降低大型牧场粪肥田间输送成本、提升作业效率，为技术规模化落地筑牢装备根基。\n\n多年示范应用数据显示，该技术提质增效成果显著。2022—2024年，黑龙江省累计推广应用面积达83.31万亩，消纳还田奶牛液体粪肥467.41万立方米。示范片区实现化肥减量10%—20%，玉米粮食作物增产7.58%以上，同步达成粪污无害化处置、化肥减量增效、黑土地力培肥三重效益，构建起生态、农业、产业共赢的发展模式。2026年，寒区奶牛液体粪肥还田技术正式入选黑龙江省农业主推技术名单，标志着该项科研成果全面完成试验示范迭代，迈入标准化、规范化、规模化推广新阶段。\n\n来源：科技日报\n\n举报\n\n评论 0\n\n请先 登录 后发表评论～\n\n今日头条推荐引擎有 9 条更新\n\n[稻花香里说丰年｜向科技要丰收，看大国粮仓如何“藏粮于技”？](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696519606655124009\u002F)\n*   [![Image 1: 稻花香里说丰年｜向科技要丰收，看大国粮仓如何“藏粮于技”？-图1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fbdf7992fbac1d9184325c16ee97c9901~tplv-tt-cs0:1280:853.jpg?_iz=31826&bid=10&from=article.headline&gid=7696519606655124009&lk3s=06827d14&x-expires=1794960507&x-signature=UVjsVt3yiBPoAmtiKXAKGfjAM48%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696519606655124009\u002F) \n*   [![Image 2: 稻花香里说丰年｜向科技要丰收，看大国粮仓如何“藏粮于技”？-图2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F41252e896104b44737e8937b61d290cd~tplv-tt-cs0:600:461.jpg?_iz=31826&bid=10&from=article.headline&gid=7696519606655124009&lk3s=06827d14&x-expires=1794960507&x-signature=8F6QAbPohV55KRdkKGB%2BigcxbcY%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696519606655124009\u002F) \n*   [![Image 3: 稻花香里说丰年｜向科技要丰收，看大国粮仓如何“藏粮于技”？-图3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F0f45f65897751f2cf71405ce1980fffe~tplv-tt-cs0:600:360.jpg?_iz=31826&bid=10&from=article.headline&gid=7696519606655124009&lk3s=06827d14&x-expires=1794960507&x-signature=zAZOfBZJrO3p5iRHdovKpNxzLDU%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696519606655124009\u002F) \n*   [![Image 4: 稻花香里说丰年｜向科技要丰收，看大国粮仓如何“藏粮于技”？-图4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F05d28d2a208fa8400fc8c3c9e416452f~tplv-tt-cs0:600:386.jpg?_iz=31826&bid=10&from=article.headline&gid=7696519606655124009&lk3s=06827d14&x-expires=1794960507&x-signature=oC%2BvfAsiTfVd9RpXUzAkKlLfbQs%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696519606655124009\u002F) \n\n[国际在线](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAHEIfF3AjOEKxo1e5xB2DmCRWDIClSanDQUCol7ZWWG4\u002F?source=tuwen_detail)\n\n5天前\n\n[![Image 5](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F0d93d29482af430eb4664fe1c46810d5~tplv-tt-cs0:1080:608.jpg?_iz=31826&bid=10&from=article.headline&gid=7696832476378841640&lk3s=06827d14&x-expires=1794960507&x-signature=UB%2B5etNf3bh%2B2NI7HVSqfrCvtq8%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696832476378841640\u002F \"重磅！大风暴前夜，中国要捅破这重天！这步大棋，你看懂了吗？\")\n\n[重磅！大风暴前夜，中国要捅破这重天！这步大棋，你看懂了吗？](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696832476378841640\u002F)\n\n[占豪](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAN097rY9G29HUB46rLd5DcIL58XABr4OXfxtzojomTPU\u002F?source=tuwen_detail)\n\n[100评论](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696832476378841640\u002F#comment)\n\n4天前\n\n[![Image 6](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F0b6215a4caa54e0da893ece699322294~tplv-tt-cs0:750:1336.jpg?_iz=31826&bid=10&from=article.headline&gid=7698147871216714274&lk3s=06827d14&x-expires=1794960507&x-signature=obU7juk6hg4kYotpECS04M0z70E%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7698147871216714274\u002F \"吉林送“南满游击队”队旗光荣归队；多家银行上调存款利率；油价调整通知\")\n\n[吉林送“南满游击队”队旗光荣归队；多家银行上调存款利率；油价调整通知](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7698147871216714274\u002F)\n\n[吉刻新闻](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAL0VrmbOL5mEP1RZNwl2kjKJkf6hKqdXXygAwFd8Beu4\u002F?source=tuwen_detail)\n\n58分钟前\n\n[![Image 7](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Faeb05aad6db892227fe3266e31d18a53~tplv-tt-cs0:690:1222.jpg?_iz=31826&bid=10&from=article.headline&gid=7695277176802918953&lk3s=06827d14&x-expires=1794960507&x-signature=vUNa%2BziRezfVGY5QNS3PuPPBA0w%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7695277176802918953\u002F \"梅艳芳骨灰盒丢失，报警近三个月仍未寻回；香港近年已有多位名人骨灰被盗，疑与跨境犯罪集团有关\")\n\n[梅艳芳骨灰盒丢失，报警近三个月仍未寻回；香港近年已有多位名人骨灰被盗，疑与跨境犯罪集团有关](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7695277176802918953\u002F)\n\n[光明网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAA9Lz0MeLdJDmqpU26Xi9O_M-cYI9z530wjM7eDKvzZTw\u002F?source=tuwen_detail)\n\n8天前\n\n[泽连斯基豁出去了](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697042763347313194\u002F)\n*   [![Image 8: 泽连斯基豁出去了-图1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002Fcc2fec5797494ca5a6a092bbcebfe55c~tplv-tt-cs0:971:647.jpg?_iz=31826&bid=10&from=article.headline&gid=7697042763347313194&lk3s=06827d14&x-expires=1794960507&x-signature=Pl%2FmcM8qfFqLhMqD5lBkVgRnNOg%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697042763347313194\u002F) \n*   [![Image 9: 泽连斯基豁出去了-图2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002Fd644cd09c2b547a58102401a703d62ac~tplv-tt-cs0:1080:796.jpg?_iz=31826&bid=10&from=article.headline&gid=7697042763347313194&lk3s=06827d14&x-expires=1794960507&x-signature=%2BPOET8hPqvzAWebJNIWqclhn6%2FU%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697042763347313194\u002F) \n*   [![Image 10: 泽连斯基豁出去了-图3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F5b3bea8afc074713849585cfc859bd69~tplv-tt-cs0:1080:720.jpg?_iz=31826&bid=10&from=article.headline&gid=7697042763347313194&lk3s=06827d14&x-expires=1794960507&x-signature=NP1jYLF%2FWIbgT%2FPZNgbdeSmoU2g%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697042763347313194\u002F) \n*   [![Image 11: 泽连斯基豁出去了-图4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F6200130683354e35a6deec206533b000~tplv-tt-cs0:1080:719.jpg?_iz=31826&bid=10&from=article.headline&gid=7697042763347313194&lk3s=06827d14&x-expires=1794960507&x-signature=jyDMUtBFq77GAzGAQv%2B1kfoIm64%3D)](https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7697042763347313194\u002F) 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[#AI礼堂职场](https:\u002F\u002Fm.ixigua.com\u002Fdx\u002F7697463378411466355 \"#AI礼堂职场精英写真感 #抖音ai创作 #正能量 #抖音推广 #上热搜\")\n*   [《冰雪奇缘》艾](https:\u002F\u002Fm.ixigua.com\u002Fdx\u002F7697463344193621263 \"《冰雪奇缘》艾莎摔门不是自由 《冰雪奇缘》系列10个隐藏细节：从安娜脸上的印记，到《随它吧》最后摔上的那扇门，再到仍守着空城堡的棉花糖。 #冰雪奇缘   #动画解说   #艾莎\")\n*   [海上明月🌙月](https:\u002F\u002Fm.ixigua.com\u002Fdx\u002F7697463317413551730 \"海上明月🌙月光洒在海面，氛围感拉满 深蓝夜色笼罩大海，一轮满月悬于上空。 月光碎成粼粼波光，轻轻浮在海面。 安安静静画画，感受独属于月夜的温柔🌙 #抖音画画人的日常 #艺术在抖音 #丙烯画 #青年创作者成长计划\")\n*   [莫迪刚喊完追赶](https:\u002F\u002Fm.ixigua.com\u002Fdx\u002F7697463295875353894 \"莫迪刚喊完追赶美国卢比就暴跌，申办2036奥运又被全球群嘲 莫迪刚喊完追赶美国卢比就暴跌，申办2036奥运又被全球群嘲，印度凭什么敢这么自信？印度把关税从20%一口气提到70%，制造业占比反而掉到14%，核心零件还得靠中国进口，印度一口气删掉一亿三千万选民，底层穷人连投票资格都没了，莫迪这套选举到底想干嘛？前1%印度人拿走四成财富，班加罗尔还在限水限电，梵我合一真能让人安于贫困吗？印度暂停印度河用水条约又擅改拉达克地名，内部搞不定就拿民族主义往外甩锅，几亿印度年轻人找不到工作，政府还封城断网抓抗议，所谓人口红利正在变成火药桶\")\n*   [#爱国正能量](https:\u002F\u002Fm.ixigua.com\u002Fdx\u002F7697463307624114858 \"#爱国正能量\")\n*   [中式台球历史上](https:\u002F\u002Fm.ixigua.com\u002Fdx\u002F7697463233511173307 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顶部\n\n登录后内容更精彩","今日头条中工网(2026-10-16)","报道",77,{"impact":17,"substance":93,"depth":196,"authority":197,"freshness":81,"relevant":20,"comment":198},16,12,"省级主推技术，含83.31万亩推广数据与成套技术细节，具行业参考价值，可入精选。",[200],{"name":192,"url":189},[202,203,26,204,205],"黑土地保护","主推技术","粪污资源化","种养循环",{"code":38,"slug":104,"name":105,"path":106,"parent_code":107},[],{"status":110,"locked":13,"version":33,"method":34,"evidence":209},{"candidates":210,"agricultural_evidence":114},[211,215,220,225],{"code":38,"score":197,"supported":114,"title":212,"abstract":213,"tags":214},[117],[117],[26],{"code":216,"score":20,"supported":13,"title":217,"abstract":218,"tags":219},"F1",[],[],[203],{"code":221,"score":20,"supported":13,"title":222,"abstract":223,"tags":224},"H1",[],[],[202],{"code":149,"score":20,"supported":13,"title":226,"abstract":227,"tags":228},[],[],[205],[230,231],"黑龙江省黑土保护利用研究院 粪肥还田","粪污资源化 黑土地保护 主推技术 奶牛养殖","黑龙江省黑土保护利用研究院粪肥还田-5276","2026-10-19T00:07:41.105960Z",{"id":235,"title":236,"url":237,"summary":238,"summary_zh":8,"content":239,"source_name":240,"source_url":8,"published_at":241,"category":193,"cover_url":8,"hotness":12,"is_selected":13,"score":242,"score_detail":243,"sources":248,"tags":250,"primary_topic":255,"secondary_topics":260,"classification":261,"search_phrases":297,"slug":300,"view_count":301,"doi":8,"paper":8,"created_at":302},4855,"江苏农垦祝英创新工作室入选全国劳模工匠创新工作室 大华种业牵头'江苏省智能设计育种创新联合体'","http:\u002F\u002Fwww.jsnk.com.cn\u002F23\u002F","江苏农垦乳业科技祝英创新工作室入选2026年全国劳模工匠创新工作室支持建设对象名单。工作室累计取得3项实用新型专利、4项发明专利,研发的酸化奶自动饲喂装置使犊牛腹泻率下降20%。同时,由大华种业牵头组建的'江苏省智能设计育种创新联合体'入选全省农业领域首个省级创新联合体,联合生物育种钟山实验室、南京农业大学、浙江大学、扬州大学、江苏省农科院、中国农科院生物技术研究所等13家单位,围绕智能设计育种、小麦优质多抗高产、耐密抗病虫宜机收玉米、优良食味籼粳杂交稻四个方向开展攻关。","*   [![Image 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2026-10-10\n\n近日，江苏省科技厅公布2026年度江苏省创新联合体建设名单，由江苏省种业集团所属大华种业牵头组建的“江苏省智能设计育种创新联合体”入选。这是全省农业领域首个省级创新联合体，标志着省种业集团积极发挥全省种业“主板”集成作用，推动种业创新从传统“经验选择”向现代“精准设计”跨越。为破解育种中的关键技术瓶颈，凝聚产学研用协同创新合力，大华种业联合生物育种钟山实验室、南京农业大学、浙江大学、扬州大学、江苏省农科院、中国农科院生物技术研究所等科研院校，以及苏州拉索生物芯片、浙江托普云农、苏垦投资等产业链骨干企业共13家单位，形成“龙头企业牵头、科研院所支撑、产业链协同联动”的产学研用一体化格局。联合体立足江苏种业发展需求，围绕智能设计育种关键核心技术、小麦优质多抗高产种质创制与新品种选育、攻关耐密抗病虫宜机收玉米种质创制与新品种选育、优良食味籼粳杂交稻种质创制与新品种选育等四大方向开展联合攻关，推动人工智能、合成生物学、基因编辑等前沿技术产业化应用，构建覆盖“基础研究—种质创制—品种选育—中试熟化—产业化推广”的全链条研发体系，加速成果转化，以科技创新赋能种业高质量发展。江苏省创新联合体以龙头企 \n*   2026-10-09\n\n10月8日，苏垦农发江心沙分公司金坛基地近千亩红高粱迎来开镰。6台收割机在田间来回穿梭，收割、脱粒、清杂等一体化作业高效完成，运粮车一趟趟把籽粒送到烘干线上。田边游人驻足拍照打卡……目之所及，尽是热烈繁忙的秋收画卷。长荡湖和钱资湖畔，成片红高粱一望无际，随风摇曳，散发着淡淡清香。基地负责人曹琛鑫反复揉搓手中饱满的籽粒，凑到鼻尖闻了闻，脸上露出久违的笑容。“今年主推晋糯3号和红糯16号，籽粒品质优、抗逆性强，是酿造高端白酒和制造糯性食品的理想原料。”他介绍，金坛基地结合往年的种植经验，根据土壤特性、气候特点和种植用途，从几十个品种中优中选优，确定品种、播期、播种方式和种植规模，制定精细化管理措施。这两个品种抗旱、耐瘠薄、抗盐碱，适合当地的丘陵地块，对丝黑穗病也表现出高抗性。“这两个品种是知名酒企的委托种植订单，对品质要求很高，必须投入更多精力。”面对今年夏秋多雨，曹琛鑫和团队在防涝促生长上下足功夫。雨后争分夺秒踏田查苗、清理沟系，确保排水畅通，防止涝渍加剧倒伏。采用“一喷多防”绿色防控技术，适时喷施杀菌剂防病促壮，配合叶面肥、速效肥补充养分，增强植株抗逆能力。“这套组合拳下来，8000多 \n*   [![Image 2](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002F3b\u002F3d\u002F4496a3954d9a9d6f4948f066a4a6\u002F59a80bfd-4f0e-4ef2-8f6c-a6513e647d11.jpg)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F1008\u002Fc23a264008\u002Fpage.htm \"江苏农垦：“丰收进行时”与“丰收在望”同框\")\n\n2026-10-08\n\n秋风起，稻菽香。江苏农垦的田野上，一幅“丰收进行时”与“丰收在望”交织的壮美画卷正徐徐展开。从稻浪翻涌的沃野，到颗粒归仓的田畴——这片土地上，每一粒饱含阳光的籽实，都在诉说一个沉甸甸的丰年。丰收进行时｜颗粒归仓 大地流金在苏垦农发东辛分公司大豆玉米带状复合种植基地，收割机穿梭往来，收割、脱粒、秸秆粉碎一气呵成。玉米籽粒从卸粮口倾泻而下，随即装车转运上场。今年，东辛分公司大豆玉米复合种植面积共5.5万亩，大豆已全部收割结束，正全力转入玉米抢收。苏垦农发云台分公司同样一派繁忙。今年，云台分公司大豆玉米带状复合种植面积约1.2万亩。收割、晾晒、归仓环环相扣，农机手驾驶收割机在田间抢收玉米，地头一片忙碌景象。苏垦农发岗埠分公司抢抓晴好天气，将收获的玉米摊铺晾晒。晒场上一片金黄，农机手驾驶机械翻晒玉米，助力秋粮颗粒归仓。丰收在望｜稻浪千重 静待开镰苏垦农发新洋分公司的稻田里，稻穗低垂、颗粒饱满，微风拂过，金浪翻涌。农技人员穿梭田间，做最后的管护。再过数日，这片稻田将迎来大规模收割。苏垦农发新曹分公司同样丰收在望。稻粒灌浆充分，在阳光照射下泛着温润的光泽。颗粒归仓，是农垦人对土地最深情的回答；丰收 \n*   [![Image 3](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002F91\u002F4e\u002F6b2e41a44b88a4ea85f9c3dcb1b0\u002Ff892ee8a-8e51-4df1-b21d-4d1f33531cec.png)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F1007\u002Fc23a263976\u002Fpage.htm \"厉兵秣马战“三秋”，农机农资“备战”正酣\")\n\n2026-10-07\n\n秋粮是全年粮食生产的大头，“三秋”机械化生产事关今年粮食丰收到手，也事关明年粮食生产基础。江苏农垦坚持早谋划、早准备，抢抓国庆窗口，积极做好“三秋”农机准备工作。农机“体检”、农资调拨、肥料生产……各条战线厉兵秣马，只为“三秋”一战。节日期间，苏垦农发黄海分公司开展“三秋”农机安全专项检查。针对“三秋”期间农机作业量大、机具投入多、作业时间集中的特点，检查组坚持“见机、见人、见证”，重点对大型联合收割机、各型拖拉机及配套农具的制动、转向、灯光、反光标识、灭火器配备等关键环节逐项查验。截至目前，共检查大型联合收割机75台、各型拖拉机200余台、配套农具280余台。为确保“三秋”期间农机具“拉得出、打得响、干得好”，苏垦农发淮海分公司抢抓国庆假期窗口，持续开展秋季农机具检修保养专项行动。按照“全面排查、应修尽修、不留死角”的原则，组织技术骨干对全场收割机、拖拉机、播种机等各类农机具逐台开展“拉网式”体检。苏垦农发东辛分公司各生产区积极迎战“三秋”，一边紧锣密鼓开展农机维保，为即将开启的秋收秋种工作筑牢机械保障，一边积极推进新型设备试验示范推广，为“三秋”稳产提质注入新动能。为保障“三秋”农 \n*   [![Image 4](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002F9d\u002Fe8\u002F0f83c0ab49fb9ae3ba3325702340\u002F0e99c5d8-4072-4df1-88d9-b1f100f06eac.jpg)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F1006\u002Fc23a263975\u002Fpage.htm \" 让“苏垦味道”香飘万家，让“苏垦服务”温暖人心\")\n\n2026-10-06\n\n当国庆消费热潮涌动，江苏农垦的营销团队正奔走在市场一线——案场展厅中一对一服务，4S店里直播导购，门店里忙碌补货，直播间里热情推介，社区食堂里现煮现尝，赛事展台前驻足问询……从房产汽车到田间好物，从生活性服务到农产品营销，他们用脚步丈量市场，用真诚连接客户。国庆我在岗，看苏垦营销人如何让“苏垦品牌”走进千家万户。作为通宇地产联合绿城管理打造的标杆新作，绿城通宇金陵江月项目国庆期间迎来集中到访高峰。营销团队提前制定专项接待方案，全员放弃休假、驻守案场，从沙盘讲解、样板间带看到政策答疑，全流程提供一对一专属服务。苏舜公司各4S店抢抓销售旺季，展厅与车展活动同步开展。直播间里，主播化身线上导购，镜头依次对准展台、展厅，实时讲解车型亮点、空间优势与国庆专属购车福利；运营人紧盯评论区，同步在线互动答疑、登记意向信息。在苏垦南通“垦品会”线下旗舰店内，假期客流比往常更密了几分。店员各司其职，上架、补货、导购、结账环环相扣，有条不紊。公司提前排班，确保服务持续在线、门店有序运转；采购端提前备足货品、加密高峰补货频次，让顾客随到随选、来了就能买到。国庆假期第一天，新洋农场珍味东芳直播间准时开播。这场直 \n*   [![Image 5](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002F74\u002F91\u002Ff5d475384c42a3bc485a9b5bec18\u002Fe5d4f95b-4b47-4336-b6a2-558c33b7acb4.png)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F1005\u002Fc23a263974\u002Fpage.htm \"粮仓之外，苏垦的秋天还有这些“宝藏”味道\")\n\n2026-10-05\n\n如果说粮食是江苏农垦的“基本盘”，那么乳业、渔业和各农场因地制宜发展的特色产业，便是苏垦大地上最灵动的“调色盘”。这个秋天，苏垦的“宝藏”味道不止在粮仓：它在犊牛牧场的奶香里，在鱼虾翻腾的塘口中，在鲜食玉米的锁鲜车间里，在蔬菜的采摘筐里，在月季玫瑰的花架旁，也在猕猴桃园的果香间。国庆假期，当人们享受休闲时光，有一群人俯身花田、穿梭菜地、驻守牧场、巡护鱼塘，让“苏垦味道”从田间、牧场、塘口走向千家万户。苏垦乳业的牧场里，犊牛班组坚守一线。他们的国庆节，没有霓虹与喧嚣，只有初生犊牛的呢喃与奶香。他们操作车载洗盆机进行集中清洗消毒，严控卫生关口；驾驶鲜奶输送车与供水车，保障营养与饮水供给，把精细化管理落实到每一个细节。秋风起，鱼虾肥。苏垦渔业养殖基地水波粼粼，鱼虾欢跃，一派丰收景象。捕捞工人默契配合，收笼、起网，成群的南美白对虾在网笼中翻腾跳跃，青亮虾身裹着晶莹水珠，熠熠生辉。分拣、过磅、装车一气呵成，动作干脆利落，让每一尾鲜活对虾以最快速度奔赴市场。基地日供鮰鱼、对虾、罗氏沼虾等鲜活水产品近10万斤。在滨淮农场黑鱼养殖基地，工人正合力拉动围网，把黑鱼往岸边浅水区域赶。随着网越拉越小，一条条 \n*   [![Image 6](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002Ffc\u002F8c\u002Fdda1759e4d5d8888721801529263\u002F3192e79d-365c-42af-a835-e878f292ad14.png)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F1004\u002Fc23a263973\u002Fpage.htm \"从一粒种到万顷田，苏垦人用坚守守护丰收\")\n\n2026-10-04\n\n当红旗飘扬在大街小巷，江苏农垦车间和田野上，另一番“热闹”正在上演——种子加工车间里，大华种业忙着检测、精选、装运，让优质麦种奔向市场；水稻田间，农技员俯身查看虫情，植保无人机低空掠过，为灌浆结实送去“营养餐”；大豆玉米复合种植基地，收割机轰鸣穿梭，抢抓晴天确保颗粒归仓；农机维修车间内，技术人员逐台检修，为“三秋”大忙保驾护航。丰收，是农垦人对祖国最好的祝福。国庆假期，正值秋播备种窗口期和麦种销售黄金季。大华种业干部职工奋战在种子生产加工一线。经过检测、精选、缝包、装运等工序，郑麦1860、新麦9369、华麦25、扬麦29等一批优质高产多抗小麦品种源源不断发往市场。这个假期，无论是在水稻田间去杂现场，还是在种子加工车间，无论是江苏省内的企业，还是省外的企业，处处涌动着抓生产、忙加工、跑市场的奋进实干热潮。当前正值水稻灌浆结实期。天刚蒙蒙亮，苏垦农发南通分公司通农生产区农业技术员李峰便走进田间，他蹲在田间，俯身拨开一丛稻株，仔细查看田间飞虱情况。远处，植保无人机正低空掠过稻浪，细密的雾滴均匀洒落在稻株间。国庆期间正逢补防的关键期，个别郁蔽重、基数大的塘口还不能松劲，重点条田需要再防一遍。 \n*   [![Image 7](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002F1b\u002F90\u002F9fdc5d8942758b113a608e48fc9d\u002F81b16a95-ef95-4e9b-bc13-be823569bf67.png)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F0929\u002Fc23a263949\u002Fpage.htm \"苏垦农发实践成果入选2026年江苏省数字经济创新发展典型案例\")\n\n2026-09-29\n\n近日，江苏省数据局公布2026年江苏省数字经济创新发展典型案例，由苏垦农发牵头、联合临海农场等单位申报的“基于AIoT深度融合的‘空天地人机’一体化数智农场”成功入选。据悉，此次征集评选旨在深入推进国家数字经济创新发展试验区建设，总结推广全省数字经济创新发展优秀实践和成功经验，公司入选案例归属“实体经济与数字经济融合发展”方向，系现代农业领域唯一生产型主体牵头案例，成为全省数字经济创新发展的示范标杆。图1：部分典型案例名单该案例围绕人工智能+物联网（AIoT）赋能稻麦规模化种植，通过“四良一智”融合技术集成创新、“感知-分析-决策-执行”闭环管理理念创新、由点及面“三阶跳”成果转化模式创新，集成应用无人值守巡田系统、多光谱无人机、“四情”监测系统、植保飞防无人机、北斗辅助驾驶农机及智能灌溉等装备，运行虫害分析、气象告警、长势反演、变量施肥、作业监管分析垂类模型，形成“空”中巡查、“天”基定位、“地”面监测、“人”网核处、“机”动执行五位一体闭环管理体系，构建关键环节数字化感知、智能化决策、精准化执行、智慧化管理智慧农业新范式。在典型农场，农业巡田效率提高3-5倍，灌溉效率翻倍，智能装备 \n*   [![Image 8](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002Ffb\u002F33\u002F15cfd2ac44c2b6e8d64432e3ce17\u002Fc91ba90c-1ecd-49dd-a982-3a18569adf27.jpg)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F0929\u002Fc23a263939\u002Fpage.htm \"弶港农场：1200万元标准化蛋鸽养殖项目开工建设\")\n\n2026-09-29\n\n金秋九月，秋风送爽。9月28日上午，弶港农场标准化蛋鸽养殖场建设项目（一期）土建工程奠基仪式在第五生产区16连举行。弶港农场领导班子、管理人员及项目相关人员齐聚现场，共同为项目挥锹培土，标志着这一总投资1200万元的特色养殖项目正式进入建设阶段。乘势而上，特色产业落子。该项目是弶港农场贯彻落实集团特色产业发展部署、推进 十五五 战略规划落地的重要抓手。项目总占地10.07亩，一期固定资产投资1200万元，规划建设3栋双层标准化蛋鸽舍，同步配套料库、蛋库、办公生活区及附属设施。与传统养殖棚舍不同，该项目从设计之初就锚定了标准化、智能化、现代化方向——全场购置自动饲喂、自动饮水、智能照明、自动清粪、环境控制、智能化生产统计等31类仪器设备，实现从喂料、饮水到清粪、环控的全流程自动化管理，让养殖产能、管理效率和产品品质同步迈上新台阶。数字说话，产能效益可期。项目建成后，将新增蛋鸽存栏2.33万对。工程建设周期6个月，建成后第7个月投入运营，预计2027年3月正式投产。届时，一颗颗弹润饱满的新鲜鸽蛋，将从弶港农场的智能化鸽舍直达城市餐桌。据了解，该项目是弶港农场构建“一核双翼”产业格局、打造肉 \n*   2026-09-28\n\n连日来，集团所属企业认真组织开展国庆节前安全生产检查。黄海农场聚焦消防安全、生产作业、仓储管理、用电用气、设施设备运行等关键领域，对辖区生产经营场所、重点点位进行全覆盖、拉网式排查。检查组先后来到苏垦米业黄海分公司、大华种业黄海分公司、响垦臻品玉米加工线、砖瓦厂等单位，查看安全制度落实、消防器材完好、应急通道畅通、值班值守安排等情况，对排查发现的薄弱环节和安全隐患明确整改责任人、整改措施、完成时限，做到闭环管理。白马湖农场节前安全生产专项检查组深入大华种业白马湖分公司、楚州酒厂、吉润福超市等重点场所，围绕消防安全、设备运行、隐患整改、应急保障、用电用气安全等关键环节进行细致排查。对检查中发现的薄弱环节和潜在隐患，要求各单位发现一处、整改一处、闭环处置，同时加大日常巡查和隐患排查力度，做好应急物资储备和值班值守安排，确保节日期间信息畅通、响应迅速、处置有效。临海农场党委领导班子成员带队，会同第三方安全专家组成联合检查组，先后前往职工食堂、综合服务中心、农机总站、种鹅全舍养殖基地等单位，围绕消防安全、电气安全、设施设备、现场环境、安全管理及应急准备等重点领域，开展系统性安全排查与风险管控。 \n*   2026-09-27\n\n9 月 24 日下午，省农垦集团党委、高投集团党委联合开展“党建引领・链上聚力”生物育种产业链党建联建工作交流会。本次活动紧扣全省生物育种产业发展部署，以党建搭建联动协作平台，推动党建工作、产业创新、资本赋能的深度融合。省种业集团、北京拉索、常州新米、江苏艾津等 15 家生物育种企业，南京大学、南京农业大学专家，江苏种业科创联盟、毅达资本等多方代表参加会议。会上，南京农业大学教授、博士生导师、农学院副院长王益华教授作《发展生物育种，支撑粮食安全》专题讲座，他立足国家种业安全大局，结合国内产业实际与全球种业发展态势，对生物育种发展方向、实施路径作深入浅出的解读，为在场参会人员拓宽产业思路。在主题发言环节，省种业集团分享以党建赋能种业振兴的实践探索。集团持续夯实科研底座、建强人才梯队，聚力攻坚生物育种关键核心技术；面向“十五五”，将持续深耕主粮与特色种业攻关，统筹用好内外资源开拓市场，奋力建设生物育种产业新高地。江苏艾津、常州新米、北京拉索企业代表也依次登台，围绕种衣剂技术攻坚与海外布局、基因编辑育种产业化落地、高密度固相芯片国产突破等前沿实践，分享企业创新探索与发展经验。座谈交流现场气氛 \n*   [![Image 9](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002Fa6\u002F56\u002F70b7e9f842b0bcf42fdbde07e628\u002F204d9417-5cf6-4481-b38a-b7a11c848afb.jpg)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F0927\u002Fc23a263888\u002Fpage.htm \"江苏农垦保供一线见闻\")\n\n2026-09-27\n\n中秋月圆，万家灯火映照团圆时刻。当人们沉浸在假期的闲适与欢聚之中，江苏农垦各条战线的干部职工却将“假期”化作“工期”，以坚守诠释责任，用实干保障供应，稳稳托举起千家万户餐桌上的新鲜与安心，也全力护好秋播前的种子供应。“双节”叠加，居民“菜篮子”消费需求集中释放。天色尚浅，晨雾未散，岗埠农场高效农业示范园的大棚里已是一片忙碌。早上气温低，蔬菜不容易失水发蔫，新鲜度最好。工人们俯身穿梭，指尖轻掐，鲜嫩蔬菜被有序采下。当天园区首要任务，是完成商超蔬菜订单。中秋当日，示范园采收各类蔬菜5000余斤。走进淮海农场产业发展中心种植基地，工作人员正围坐一起，熟练地将新鲜采摘的青椒分拣、装袋、称重、搬运、装车，现场一派繁忙景象。淮海农场采取“订单+采收”模式，采取种植基地错峰采摘、分级打包，同时协调物流车辆直达田间地头，最大限度压缩流通时间。基地每天都要发出近4000斤新鲜青椒，保障周边市场供应。苏垦渔业养殖基地干部职工坚守保供一线，冒雨开展捕捞、分拣、装运作业，争分夺秒跑出保供“加速度”，让一批批新鲜优质的水产品及时送达千家万户餐桌。面对降雨天气，基地加大养殖池塘巡查频次，密切关注水质变化，及时调控 \n*   [![Image 10](http:\u002F\u002Fwww.jsnk.com.cn\u002F_upload\u002Farticle\u002Fimages\u002Fda\u002Fd4\u002F7254ed7843e49e62133b70e98fa4\u002F923e5bcf-11ea-4094-afd3-9897fc9bf62c.jpg)](http:\u002F\u002Fwww.jsnk.com.cn\u002F2026\u002F0926\u002Fc23a263885\u002Fpage.htm \"江苏农垦全力守护节日“团圆味”\")\n\n2026-09-26\n\n节日消费市场持续升温。江苏农垦所属企业全面进入“冲刺模式”，以线下展销+直播带货双线发力，生产、仓储、分拣、物流全链协同，全力以赴迎战节日销售高峰。从农产品大集到品牌旗舰店，从生产车间到仓储物流一线，垦区各条战线开足马力、高效运转，全力守护百姓“舌尖上的团圆味”。黄海农场携自有品牌“响垦臻品”亮相响水县中秋农产品大集，带来鲜食玉米、玉米汁等系列农垦特色农产品，以线下展销+直播带货双线发力吸引大批市民驻足围观、品尝选购。苏垦南通公司旗下垦优鲜品公司进入“冲刺模式”，仓储、分拣、质检、包装、直播、销售等岗位协同联动，全力迎战销售高峰。在苏垦渔业品牌旗舰店，高品质水产馈赠礼盒迎来销售旺季，一摞摞包装精美的水产礼盒整齐堆放，工作人员有条不紊地进行礼盒组装、包装加固、订单核对、货品整理等工作。新曹农场玉谷禽蛋分公司生产车间满负荷运转，礼盒包装、分拣装箱、货品调度、订单发货等各项工作高效有序推进。为保障节日订单及时发货，蛋库已开启全天候生产模式。苏垦米业多措并举抓实客户服务、生产调度、物流配送，公司主动对接商超、经销商等核心客户，摸排采购需求，按需统筹排产，提前储备货源、调配运力，提升订单响应和配","江苏农垦集团 2026 年 10 月 13 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智能设计育种 创新联合体","祝英创新工作室 全国劳模工匠","大华种业智能设计育种创新联合体-4855",4,"2026-10-14T00:04:07.907545Z",{"id":304,"title":305,"url":306,"summary":307,"summary_zh":8,"content":8,"source_name":9,"source_url":306,"published_at":308,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":309,"score_detail":310,"sources":312,"tags":314,"primary_topic":8,"secondary_topics":319,"classification":320,"search_phrases":323,"slug":326,"view_count":47,"doi":327,"paper":328,"created_at":355},4551,"Exploring the analytical limits of the indirect CO2 balancing method: A round-robin study for quantifying CH4 and NH3 emissions","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104608","Exploring the analytical limits of the indirect CO2 balancing method: A round-robin study for quantifying CH4 and NH3 emissions。Biosystems Engineering","2026-10-10T00:00:00Z",69,{"impact":122,"substance":244,"depth":94,"authority":18,"freshness":12,"relevant":20,"comment":311},"核心期刊方法学论文，提出间接CO2平衡法的分析极限并开展环试，对农业温室气体与氨排放监测有参考价值，但属细分方法学研究，公共影响有限。",[313],{"name":9,"url":306},[315,316,27,317,318],"甲烷排放","温室气体排放","农业环境监测","间接CO2平衡法",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":321},{"candidates":322,"agricultural_evidence":13,"reason":42},[],[324,325],"农业环境监测 温室气体排放 间接CO2平衡法 甲烷排放","农业环境监测 温室气体排放","农业环境监测温室气体排放间接CO2平衡法甲烷排放-4551","10.1016\u002Fj.biosystemseng.2026.104608",{"doi":327,"openalex_id":329,"authors":330,"venue":9,"cited_by_count":47,"oa_url":306,"card":8,"direction":8,"ingested_from":78},"W7221170641",[331,334,337,340,343,345,347,349,352],{"name":332,"orcid":333},"Harsh Sahu","https:\u002F\u002Forcid.org\u002F0009-0008-5795-4098",{"name":335,"orcid":336},"Thomas Amon","https:\u002F\u002Forcid.org\u002F0000-0003-2468-3160",{"name":338,"orcid":339},"Tariq Mehmood","https:\u002F\u002Forcid.org\u002F0000-0003-3549-2300",{"name":341,"orcid":342},"Manfred Trimborn","https:\u002F\u002Forcid.org\u002F0000-0003-4040-2082",{"name":344,"orcid":8},"Lars Broer",{"name":346,"orcid":8},"Diana Nett",{"name":348,"orcid":8},"Hergen Haase",{"name":350,"orcid":351},"Aditya Rawat","https:\u002F\u002Forcid.org\u002F0009-0005-2112-6408",{"name":353,"orcid":354},"David Janke","https:\u002F\u002Forcid.org\u002F0000-0002-4211-3404","2026-10-10T23:30:04.622336Z",{"id":357,"title":358,"url":359,"summary":360,"summary_zh":8,"content":8,"source_name":361,"source_url":359,"published_at":90,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":362,"score_detail":363,"sources":365,"tags":367,"primary_topic":371,"secondary_topics":372,"classification":373,"search_phrases":389,"slug":392,"view_count":20,"doi":393,"paper":394,"created_at":410},4550,"Blue water footprint and scarcity indicators in dairy cattle systems: a comparative study on water use","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105006","Blue water footprint and scarcity indicators in dairy cattle systems: a comparative study on water use。Agricultural Systems","Agricultural Systems",71,{"impact":197,"substance":244,"depth":94,"authority":18,"freshness":122,"relevant":20,"comment":364},"核心期刊发表的奶牛养殖水足迹比较研究，方法数据扎实，但属细分领域学术成果，产业影响有限。",[366],{"name":361,"url":359},[368,369,26,370],"水资源管理","农业可持续","水足迹",{"code":38,"slug":104,"name":105,"path":106,"parent_code":107},[],{"status":110,"locked":13,"version":33,"method":34,"evidence":374},{"candidates":375,"agricultural_evidence":114},[376,380,385],{"code":38,"score":197,"supported":114,"title":377,"abstract":378,"tags":379},[119],[119],[26],{"code":381,"score":20,"supported":13,"title":382,"abstract":383,"tags":384},"H3",[],[],[368],{"code":149,"score":20,"supported":13,"title":386,"abstract":387,"tags":388},[],[],[369],[390,391],"奶牛养殖 水足迹 水资源","农业可持续 水资源管理 奶牛养殖 水足迹","奶牛养殖水足迹水资源-4550","10.1016\u002Fj.agsy.2026.105006",{"doi":393,"openalex_id":395,"authors":396,"venue":361,"cited_by_count":47,"oa_url":359,"card":8,"direction":8,"ingested_from":78},"W7221119168",[397,399,402,404,406,408],{"name":398,"orcid":8},"Luciana Jennerich",{"name":400,"orcid":401},"María Celeste Schierano","https:\u002F\u002Forcid.org\u002F0000-0003-3380-4374",{"name":403,"orcid":8},"Marisol Farias",{"name":405,"orcid":8},"Gonzalo Gutiérrez",{"name":407,"orcid":8},"Carina Griffa",{"name":409,"orcid":8},"Rosana Boglione","2026-10-10T23:30:03.711091Z",{"id":412,"title":413,"url":414,"summary":415,"summary_zh":416,"content":8,"source_name":417,"source_url":414,"published_at":418,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":419,"score_detail":420,"sources":422,"tags":424,"primary_topic":429,"secondary_topics":430,"classification":437,"search_phrases":455,"slug":458,"view_count":20,"doi":459,"paper":460,"created_at":483},4244,"Automated dairy cattle lameness assessment using a 38-keypoint whole-body YOLOv8 pose framework","https:\u002F\u002Fdoi.org\u002F10.14202\u002Fvetworld.2026.4286-4306","Background and Aim: Lameness is a major health, welfare, and production concern in dairy cattle, whereas conventional visual locomotion scoring is intermittent and susceptible to observer-dependent variation. Markerless computer vision may enable objective and repeatable locomotion monitoring under routine farm conditions. This study aimed to develop a 38-keypoint whole-body pose-estimation framework for automated dairy cattle lameness assessment and evaluate its agreement with blinded Sprecher locomotion scoring. Materials and Methods: A You Only Look Once version 8 (YOLOv8)-pose framework was developed using 12,000 annotated images obtained from 449 Holstein cows. Thirty-eight anatomical keypoints represented the head, spine, pelvis, forelimbs, hindlimbs, and hooves. Four model and input resolution configurations were evaluated. Joint-angle time series, coefficients of variation, and whole-body asymmetry features were derived from detected keypoints. For independent clinical validation, 120 cattle videos, obtained from animals with no overlap at the animal level with the 449-cow model-development cohort, were evaluated blindly by three assessors using the five-point Sprecher scale. Inter-observer reliability, consensus scores, rank associations, group differences, and exploratory receiver operating characteristic analyses were determined. Results: YOLOv8l-pose at 2560 × 2560 pixels showed the best performance, achieving pose mean average precision at an intersection over union threshold of 0.5 of 83.11%, mean average precision across thresholds of 0.5–0.95 of 37.39%, and recall of 91.74%. All three assessors assigned identical Sprecher scores to 87.5% of videos. Pairwise quadratic-weighted Cohen κ ranged from 0.843 to 0.926, Fleiss κ was 0.779, and intraclass correlation coefficients were 0.883 and 0.958 for single and average measurements, respectively. The continuous artificial intelligence (AI) score correlated significantly with consensus Sprecher scores (Spearman ρ = 0.234, p = 0.010), and score distributions differed among consensus groups (Kruskal–Wallis H = 13.09, p = 0.0014). Exploratory discrimination of consensus Sprecher scores ≥3, using a threshold internally derived from and evaluated within the same stratified validation cohort (not externally validated), yielded an area under the curve of 0.875; at an AI threshold of 2.9, sensitivity and specificity were 62.5% and 98.2%, respectively. Conclusion: The 38-keypoint whole-body model demonstrates technical feasibility as an anatomically comprehensive, sensor-free approach for quantifying dairy cattle locomotion. Because the clinical validation cohort was deliberately stratified and diagnostic thresholds were internally derived, its agreement with independent visual assessment should be interpreted as evidence of potential decision-support utility rather than established clinical performance. Prospective external validation and independent calibration of diagnostic thresholds in an unselected cohort are warranted before clinical or commercial deployment. Keywords: artificial intelligence, bovine lameness, computer vision, dairy cattle, locomotion assessment, pose-estimation, Sprecher score, whole-body keypoints.","背景与目的：跛行是奶牛重要的健康、福利和生产问题，而传统的视觉运动评分具有间歇性且易受观察者差异影响。无标记计算机视觉可能有助于在常规农场条件下实现客观且可重复的运动监测。本研究旨在开发一个38关键点全身姿态估计框架，用于自动化奶牛跛行评估，并评估其与盲法Sprecher运动评分的一致性。材料与方法：使用来自449头荷斯坦奶牛的12,000张标注图像，开发了You Only Look Once第8版（YOLOv8）-pose框架。38个解剖关键点代表头部、脊柱、骨盆、前肢、后肢和蹄部。评估了四种模型和输入分辨率配置。从检测到的关键点中提取关节角度时间序列、变异系数和全身不对称特征。为进行独立临床验证，由三名评估者使用五分制Sprecher量表对120头牛的视频进行盲法评估，这些动物在个体层面与449头模型开发队列无重叠。确定了观察者间可靠性、共识评分、秩相关、组间差异和探索性受试者工作特征分析。结果：2560×2560像素下的YOLOv8l-pose表现最佳，在交并比阈值为0.5时姿态平均精度为83.11%，在0.5–0.95阈值范围内的平均精度为37.39%，召回率为91.74%。三名评估者对87.5%的视频给出了相同的Sprecher评分。两两二次加权Cohen κ范围为0.843至0.926，Fleiss κ为0.779，单次测量和平均测量的组内相关系数分别为0.883和0.958。连续人工智能（AI）评分与共识Sprecher评分显著相关（Spearman ρ = 0.234，p = 0.010），且各共识组之间的评分分布不同（Kruskal–Wallis H = 13.09，p = 0.0014）。使用在同一分层验证队列内部推导并评估的阈值（未经外部验证），对共识Sprecher评分≥3进行探索性判别时，曲线下面积为0.875；在AI阈值为2.9时，敏感性和特异性分别为62.5%和98.2%。结论：38关键点全身模型表现","Veterinary World","2026-10-03T00:00:00Z",80,{"impact":16,"substance":17,"depth":16,"authority":95,"freshness":19,"relevant":20,"comment":421},"基于12000张标注图像与120头独立验证视频的38关键点YOLOv8姿态估计框架，为奶牛跛行无接触客观评估提供技术可行性证据，方法新颖、数据扎实，但阈值内推、缺乏外部验证，属细分领域技术进展。",[423],{"name":417,"url":414},[425,426,427,428,26],"智慧农业","农业人工智能","计算机视觉","动物健康",{"code":38,"slug":104,"name":105,"path":106,"parent_code":107},[431],{"code":432,"slug":433,"name":434,"path":435,"parent_code":436},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":110,"locked":13,"version":33,"method":34,"evidence":438},{"candidates":439,"agricultural_evidence":114},[440,444,450],{"code":38,"score":245,"supported":114,"title":441,"abstract":442,"tags":443},[119],[117,119],[26],{"code":432,"score":246,"supported":114,"title":445,"abstract":446,"tags":449},[],[427,447,448],"artificial intelligence","computer vision",[426,427],{"code":451,"score":20,"supported":13,"title":452,"abstract":453,"tags":454},"I1",[],[],[425],[456,457],"YOLOv8 奶牛 跛行 姿态估计","奶牛跛行 自动评估 计算机视觉","YOLOv8奶牛跛行姿态估计-4244","10.14202\u002Fvetworld.2026.4286-4306",{"doi":459,"openalex_id":461,"authors":462,"venue":417,"cited_by_count":47,"oa_url":475,"card":476,"direction":482,"ingested_from":78},"W7218963807",[463,466,469,472],{"name":464,"orcid":465},"А В Греченева","https:\u002F\u002Forcid.org\u002F0000-0002-7341-5237",{"name":467,"orcid":468},"Maxim Baknin","https:\u002F\u002Forcid.org\u002F0000-0002-3124-6252",{"name":470,"orcid":471},"Sergey Vladimirovich Akchurin","https:\u002F\u002Forcid.org\u002F0000-0002-6822-0013",{"name":473,"orcid":474},"Ирина Владимировна Акчурина","https:\u002F\u002Forcid.org\u002F0000-0002-1975-2929","https:\u002F\u002Fveterinaryworld.org\u002FVol.19\u002FOctober-2026\u002F3.pdf",{"tldr":477,"method":478,"finding":479,"direction":480,"opportunity":481},"构建38关键点全身YOLOv8姿态框架，实现奶牛跛行自动评估并与Sprecher评分比对。","YOLOv8l-pose，12000张449头荷斯坦牛图像，120视频盲评验证。","模型mAP@0.5达83.11%，AI评分与共识Sprecher评分显著相关，AUC达0.875。","农业人工智能与决策模型","可扩展至多牧场外部验证，并结合时序行为与多模态数据提升跛行早期预警泛化性。","数字乡村与农业信息化","2026-10-05T23:30:33.217120Z"]