[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-236":3,"related-236":62},{"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":22,"tags":24,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":56,"slug":59,"view_count":60,"doi":8,"paper":8,"created_at":61},236,"湖南农科院畜牧所揭示迷迭香提取物调控鸭肉品质分子机制——天然植物添加剂支撑水禽绿色养殖","https:\u002F\u002Ffsc.foodmate.net\u002Fshow.php?itemid=748972","湖南省农业科学院畜牧研究所动物营养团队在食品领域国际知名期刊《Food Chemistry》(中科院一区、Q1顶刊,IF=10.2)发表高水平研究论文,揭示迷迭香提取物调控肉鸭肌肉品质的分子机制,为天然植物源添加剂在优质水禽绿色养殖中的应用提供重要理论支撑。团队以湖南优良地方特色畜禽品种临武鸭为研究对象,研究发现饲粮中添加迷迭香提取物可优化临武鸭生产性能,显著降低料重比,有效提升胸肌红度值、降低肌肉滴水损失,调控多不饱和脂肪酸组分及4种关键功能氨基酸含量,显著增强鸭肉肌肉抗氧化能力;组学机制研究明确胰岛素信号通路、初级胆汁酸生物合成通路是关键富集通路,筛选获得8个调控鸭肉品质关键生物标志物。该研究得到国家水禽产业技术体系(CARS-42-21)、湖南省家禽产业技术体系(HARS-06)项目资助,刘洋为第一作者,戴求仲研究员为通讯作者。",null,"核心提示：近日，院畜牧研究所动物营养团队在食品领域国际知名期刊《Food Chemistry》（中科院一区、Q1顶刊，影响因子10.2）发表高水平研究论文，揭示了迷迭香提取物调控肉鸭肌肉品质的分子机制，为天然植物源添加剂在优质水禽绿色养殖中的应用提供了重要理论支撑。\n\n近日，院畜牧研究所动物营养团队在食品领域国际知名期刊《Food Chemistry》（中科院一区、Q1顶刊，影响因子10.2）发表高水平研究论文，揭示了迷迭香提取物调控肉鸭肌肉品质的分子机制，为天然植物源添加剂在优质水禽绿色养殖中的应用提供了重要理论支撑。\n\n肉品质是衡量禽产品品质、决定市场核心竞争力的关键指标。随着居民消费升级，安全、绿色、无抗残留的畜禽产品成为市场主流需求，天然植物源饲料添加剂研发与应用已成为畜禽健康养殖领域的研究热点。迷迭香提取物具备优良的天然抗氧化特性，在畜禽品质改良中应用潜力巨大，但目前其调控鸭肉品质的分子机理仍不清晰，极大限制了其在水禽养殖中的规模化推广应用。\n\n针对上述产业技术瓶颈，团队以湖南优良地方特色畜禽品种临武鸭为研究对象，系统开展饲粮添加迷迭香提取物的应用试验，全面探究其对临武鸭胸肌肉品质、肌肉抗氧化能力、脂肪酸与氨基酸营养组分的调控效应，并依托蛋白质组学技术深度解析其核心分子调控通路。\n\n试验研究结果表明，饲粮中添加迷迭香提取物可有效优化临武鸭生产性能，显著降低鸭只平均日采食量与料重比，提升养殖经济效益；同时可显著改善鸭肉品质性状，有效提升胸肌红度值、降低肌肉滴水损失，改善肌肉保水性与感官色泽。在营养品质与生理特性方面，迷迭香提取物可显著增强鸭肉肌肉抗氧化能力，有效调控鸭肉多不饱和脂肪酸组分及4种关键功能氨基酸含量，提升鸭肉营养品质与食用价值。\n\n组学机制研究进一步明确，胰岛素信号通路、初级胆汁酸生物合成通路是迷迭香提取物调控鸭肉品质的关键富集通路。研究团队通过RT-qPCR、Western blot试验验证，成功筛选获得8个调控鸭肉品质的关键生物标志物，清晰阐明了迷迭香提取物改良鸭肉品质的分子调控机制，填补了相关研究空白。\n\n该研究系统阐明了迷迭香提取物对肉鸭品质的改良效果及作用机理，为天然植物活性物质替代传统饲料添加剂、助力优质鸭肉标准化绿色生产提供了坚实的科学依据与技术支撑，对推动我省水禽养殖业提质增效、绿色高质量发展具有重要实践意义。\n\n据悉，该研究得到国家水禽产业技术体系（CARS-42-21）、湖南省家禽产业技术体系（HARS-06）项目资助。湖南省农业科学院畜牧研究所为论文第一完成单位，刘洋为论文第一作者，戴求仲研究员为通讯作者。","食品伙伴网 2026-08-04","2026-08-04T00:00:00Z","报道",10,false,77,{"impact":17,"substance":18,"depth":17,"authority":13,"freshness":19,"relevant":20,"comment":21},18,22,9,1,"省级科研机构在顶刊发表研究，揭示迷迭香提取物调控鸭肉品质机制，对水禽绿色养殖有实质推动，但影响层级偏省级。",[23],{"name":10,"url":6},[25,26,27,28,29],"湖南省农科院","鸭肉品质","临武鸭","迷迭香","Food Chemistry",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"C3","poultry","家禽","\u002Ftopic\u002Flivestock\u002Fpoultry","C",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,51],{"code":35,"score":44,"supported":45,"title":46,"abstract":48,"tags":50},14,true,[47],"畜牧",[47,49],"畜禽",[],{"code":31,"score":52,"supported":45,"title":53,"abstract":54,"tags":55},3,[],[33],[],[57,58],"湖南省农科院 鸭肉品质 临武鸭 迷迭香","湖南省农科院 鸭肉品质","湖南省农科院鸭肉品质临武鸭迷迭香-236",6,"2026-08-05T23:53:01.250434Z",{"total":60,"page":20,"page_size":60,"items":63},[64,107,164,279,326,400],{"id":65,"title":66,"url":67,"summary":68,"summary_zh":8,"content":69,"source_name":70,"source_url":8,"published_at":71,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":72,"score_detail":73,"sources":77,"tags":79,"primary_topic":85,"secondary_topics":86,"classification":87,"search_phrases":101,"slug":104,"view_count":105,"doi":8,"paper":8,"created_at":106},5424,"中国农科院北京畜牧兽医所揭示葛根素改善产蛋后期肉种鸡繁殖性能机制","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261019A046U200","中国农业科学院北京畜牧兽医研究所鸡营养代谢与调控创新团队揭示葛根素通过改善「肠-肝-卵巢轴」功能提高产蛋后期肉种鸡繁殖性能的机制，成果发表在《Microbiome》。研究发现在产蛋后期种鸡基础日粮中添加葛根素，可提高回肠乳酸杆菌丰度、激活 PPAR 信号通路增强肝脏脂质代谢与卵黄蛋白原合成、缓解卵巢氧化损伤与细胞凋亡。该研究首次明确了肠道菌群、肝脂质代谢与卵巢功能间的协同调控关系，牧医所博士研究生黄振吾与已毕业博士研究生马丹丹为共同第一作者。","近日，中国农业科学院北京畜牧兽医研究所鸡营养代谢与调控创新团队围绕调控产蛋后期肉种鸡繁殖性能衰退开展深入研究，揭示了葛根素（Puerarin）可通过改善“肠-肝-卵巢轴”功能，提高产蛋后期肉种鸡繁殖性能的机制。相关成果发表在《微生物组（Microbiome）》。\n\n葛根素是天然植物黄酮类提取物，具有抗氧化、抗炎、调节脂代谢及增强免疫等功能。种母鸡作为肉鸡养殖的起点，产蛋后期生理性衰老会导致繁殖性能快速下降，直接影响商品肉鸡的生产效率和整个产业竞争力。种鸡繁殖性能下降与肠道功能受损、肝脏代谢紊乱以及卵巢衰老密切相关，但以往研究多孤立解析肠道、肝脏、卵巢等单器官影响机制，但三者潜在的关联调控途径以及葛根素对种鸡繁殖性能的影响尚不明确。\n\n研究团队发现，在产蛋后期种鸡基础日粮中添加葛根素，可提高回肠乳酸杆菌丰度，改善肠道菌群结构；激活PPAR信号通路，增强肝脏脂质代谢和卵黄蛋白原合成；缓解卵巢氧化损伤和细胞凋亡，促进孕酮等生殖激素分泌和卵泡发育。该研究首次明确了葛根素可通过多途径关联实现“肠道菌群—肝脂质代谢—卵巢功能”间协同调控，进而提高产蛋后期母鸡繁殖性能，为葛根素等天然功能性成分在产蛋后期肉种鸡生产中的应用提供了重要理论依据。\n\n牧医所博士研究生黄振吾和已毕业博士研究生马丹丹为论文共同第一作者，张敏红研究员为论文通讯作者。该研究得到国家重点研发计划、中国农业科学院科技创新工程等项目支持。","中国农业科学院 2026-10-19","2026-10-19T00:00:00Z",81,{"impact":17,"substance":18,"depth":17,"authority":74,"freshness":75,"relevant":20,"comment":76},15,8,"国家级科研机构在《Microbiome》发表的新机制研究，首次阐明葛根素经肠-肝-卵巢轴改善产蛋后期肉种鸡繁殖性能，专业增量明确，值得进入每日精选。",[78],{"name":70,"url":67},[80,81,82,83,84],"饲料添加剂","畜禽养殖","肉种鸡","葛根素","繁殖性能",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":88},{"candidates":89,"agricultural_evidence":45},[90,96],{"code":31,"score":91,"supported":45,"title":92,"abstract":94,"tags":95},24,[82,93],"产蛋",[82,93],[81,82],{"code":35,"score":97,"supported":45,"title":98,"abstract":99,"tags":100},12,[47],[47],[81],[102,103],"北京畜牧兽医所 葛根素 肉种鸡","葛根素 肠肝卵巢轴 繁殖性能","北京畜牧兽医所葛根素肉种鸡-5424",0,"2026-10-21T00:10:00.250037Z",{"id":108,"title":109,"url":110,"summary":111,"summary_zh":8,"content":8,"source_name":112,"source_url":110,"published_at":113,"category":114,"cover_url":8,"hotness":13,"is_selected":45,"score":115,"score_detail":116,"sources":118,"tags":120,"primary_topic":126,"secondary_topics":127,"classification":128,"search_phrases":148,"slug":151,"view_count":144,"doi":152,"paper":153,"created_at":163},4327,"The impact of smart farming on livestock eco-efficiency: An empirical analysis of meat duck farmers in 10 Chinese provinces","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105003","The impact of smart farming on livestock eco-efficiency: An empirical analysis of meat duck farmers in 10 Chinese provinces。Agricultural Systems","Agricultural Systems","2026-10-06T00:00:00Z","论文",85,{"impact":18,"substance":18,"depth":17,"authority":44,"freshness":19,"relevant":20,"comment":117},"基于中国10省肉鸭养殖户实证数据，量化智慧农业对畜牧生态效率的影响，方法规范、结论可靠，对智慧畜牧与绿色养殖具有参考价值。",[119],{"name":112,"url":110},[121,122,123,124,125],"数字农业","智慧农业","畜牧养殖","农业生态效率","肉鸭养殖",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":129},{"candidates":130,"agricultural_evidence":45},[131,137,142],{"code":35,"score":132,"supported":45,"title":133,"abstract":135,"tags":136},11,[134],"livestock",[134],[],{"code":31,"score":132,"supported":45,"title":138,"abstract":140,"tags":141},[139],"duck",[139],[],{"code":143,"score":144,"supported":14,"title":145,"abstract":146,"tags":147},"I1",2,[],[],[121,122],[149,150],"肉鸭养殖 智慧农业 生态效率","中国十省 肉鸭养殖 实证分析","肉鸭养殖智慧农业生态效率-4327","10.1016\u002Fj.agsy.2026.105003",{"doi":152,"openalex_id":154,"authors":155,"venue":112,"cited_by_count":105,"oa_url":110,"card":8,"direction":8,"ingested_from":162},"W7220714215",[156,158,160],{"name":157,"orcid":8},"Guiren Tao",{"name":159,"orcid":8},"Yuhao Wang",{"name":161,"orcid":8},"Lingzhi Liu","openalex","2026-10-07T23:30:03.988823Z",{"id":165,"title":166,"url":167,"summary":168,"summary_zh":169,"content":8,"source_name":170,"source_url":167,"published_at":171,"category":114,"cover_url":8,"hotness":13,"is_selected":14,"score":172,"score_detail":173,"sources":178,"tags":180,"primary_topic":186,"secondary_topics":187,"classification":188,"search_phrases":227,"slug":230,"view_count":105,"doi":231,"paper":232,"created_at":278},4207,"Evaluating on-line media and survey data to understand beliefs and sentiment associated with pastured and integrated poultry production among farmers and stakeholders","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1860985","Commercial pastured and integrated poultry production (PIPP) represents an emerging area of poultry and crop production. As a “niche” area of commercial production, there is little overall knowledge about public opinion associated with PIPP. Here we utilized two complementary approaches to better understand current sentiment and associated challenges with PIPP-based production. Specifically, to understand farmer PIPP sentiment and challenges we surveyed commercial PIPP farmers. In parallel we captured stakeholder sentiment toward integrative farming (a slightly broader classification that includes PIPP) via the extraction of selected data (i.e., web-scraping) on the internet. The methodology combines web-scraping of various media and Natural Language Processing (NLP) to understand sentiment in a longitudinal fashion. Here we compared a farmer survey of 53 producers and 2,399 English language web-scraped online posts (e.g., from online forums, news sites, and blogs) from 1,089 unique authors between 2019 and 2021 to understand opinions of and experiences with PIPP. The survey data and online posts both highlighted soil health, animal welfare, and weed control as perceived benefits of PIPP. In addition, survey respondents identified food safety regulations or incidents, processing, and certifications as barriers to PIPP whereas these topics rarely appeared in online conversations (i.e., on-line discourse capturing news and social media). Furthermore, topics mentioned in online conversations but not included in the survey include challenges related to soil, yield, land efficiency, autonomy, and mental health benefits. Comparing online posts with surveys has the potential to offer a more robust approach toward understanding opportunities and challenges among PIPP and other niche agricultural spaces. The parallel approach of analyzing both farmer survey and on-line stakeholder sentiment provides broader context for PIPP farmers and stakeholders with respect to farmer and stakeholder perspective. This approach provides insights that can be useful for PIPP farmers and other agricultural entities with respect to linking surveys and web-based analysis.","商业放牧与综合家禽生产（PIPP）是家禽与作物生产中的一个新兴领域。作为一个商业生产的“利基”领域，关于PIPP相关的公众舆论总体认知甚少。本研究采用两种互补方法，以更好地理解当前对PIPP生产的看法及相关挑战。具体而言，为了解养殖户对PIPP的看法与挑战，我们对商业PIPP养殖户进行了调查。与此同时，我们通过提取互联网上的选定数据（即网络爬虫）来捕捉利益相关者对综合养殖（一个稍宽泛的分类，包含PIPP）的看法。该方法结合了多种媒体的网络爬虫与自然语言处理（NLP），以纵向方式理解情感倾向。本研究比较了一项涵盖53名生产者的养殖户调查与2019年至2021年间来自1,089位独特作者的2,399条英语网络爬取在线帖子（如来自在线论坛、新闻网站和博客），以了解对PIPP的看法与经验。调查数据与在线帖子均强调土壤健康、动物福利和杂草控制为PIPP的感知益处。此外，调查受访者将食品安全法规或事件、加工和认证列为PIPP的障碍，而这些话题在在线对话中很少出现（即涵盖新闻和社交媒体的在线话语）。此外，在线对话中提到但调查中未包含的话题包括与土壤、产量、土地效率、自主性和心理健康益处相关的挑战。将在线帖子与调查进行比较，有望为理解PIPP及其他利基农业领域的机遇与挑战提供更稳健的方法。同时分析养殖户调查与在线利益相关者情感的并行方法，为PIPP养殖户和利益相关者提供了关于养殖户与利益相关者视角的更广泛背景。该方法提供的见解对于PIPP养殖户及其他农业实体在联系调查与基于网络的分析方面具有参考价值。","Frontiers in Sustainable Food Systems","2026-10-05T00:00:00Z",67,{"impact":75,"substance":174,"depth":175,"authority":176,"freshness":13,"relevant":20,"comment":177},20,16,13,"以网络爬取与NLP结合农户调查分析散养家禽养殖舆情，方法新颖但属小众细分领域，公共影响有限。",[179],{"name":170,"url":167},[181,182,183,184,185],"家禽养殖","有机农业","林下养殖","农业舆情","自然语言处理",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":189},{"candidates":190,"agricultural_evidence":45},[191,195,202,209,216,222],{"code":31,"score":74,"supported":45,"title":192,"abstract":193,"tags":194},[32],[33,32],[181],{"code":196,"score":60,"supported":45,"title":197,"abstract":198,"tags":201},"C6",[],[199,200],"动物福利","animal welfare",[],{"code":203,"score":60,"supported":45,"title":204,"abstract":205,"tags":208},"E4",[],[206,207],"食品安全","food safety",[],{"code":210,"score":60,"supported":45,"title":211,"abstract":212,"tags":215},"H2",[],[213,214],"土壤","soil",[],{"code":217,"score":52,"supported":45,"title":218,"abstract":219,"tags":221},"F4",[],[220],"weed control",[],{"code":223,"score":20,"supported":14,"title":224,"abstract":225,"tags":226},"H8",[],[],[182],[228,229],"自然语言处理 农业舆情 家禽养殖 有机农业","自然语言处理 农业舆情","自然语言处理农业舆情家禽养殖有机农业-4207","10.3389\u002Ffsufs.2026.1860985",{"doi":231,"openalex_id":233,"authors":234,"venue":170,"cited_by_count":105,"oa_url":167,"card":272,"direction":276,"ingested_from":162},"W7219843982",[235,237,240,243,245,247,250,253,255,258,260,263,266,269],{"name":236,"orcid":8},"Faye Duan",{"name":238,"orcid":239},"Arlene E. Enderton","https:\u002F\u002Forcid.org\u002F0009-0004-7416-6203",{"name":241,"orcid":242},"Joseph D. Gendreau","https:\u002F\u002Forcid.org\u002F0000-0001-8797-2686",{"name":244,"orcid":8},"Jingwen Zhang",{"name":246,"orcid":8},"Brock Riggs",{"name":248,"orcid":249},"Alejandro Plastina","https:\u002F\u002Forcid.org\u002F0000-0001-7333-5459",{"name":251,"orcid":252},"David J. Gonthier","https:\u002F\u002Forcid.org\u002F0000-0001-5977-2054",{"name":254,"orcid":8},"Dong Ahn",{"name":256,"orcid":257},"Marshall D. McDaniel","https:\u002F\u002Forcid.org\u002F0000-0001-6267-7293",{"name":259,"orcid":8},"Ann Baier",{"name":261,"orcid":262},"Anne M. Carey","https:\u002F\u002Forcid.org\u002F0009-0006-4122-6083",{"name":264,"orcid":265},"Viktor Halmos","https:\u002F\u002Forcid.org\u002F0009-0001-4636-9730",{"name":267,"orcid":268},"Ajay Nair","https:\u002F\u002Forcid.org\u002F0000-0002-6360-9556",{"name":270,"orcid":271},"Maurice E. Pitesky","https:\u002F\u002Forcid.org\u002F0000-0003-0084-6404",{"tldr":273,"method":274,"finding":275,"direction":276,"opportunity":277},"结合农户调查与网络文本挖掘，对比分析散养与综合家禽生产的认知与情感。","调查53位农户，并爬取2019-2021年2399条英文网络帖子，用NLP做情感","双方均认可土壤健康、动物福利和除草；农户关注食品安全法规与认证，网络讨论则涉及产量、土地效率与心理健","数字乡村与农业信息化","可将网络情感分析与农户调查结合，用于小众农业领域舆情监测与决策支持研究。","2026-10-05T23:30:07.432535Z",{"id":280,"title":281,"url":282,"summary":283,"summary_zh":8,"content":284,"source_name":285,"source_url":8,"published_at":286,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":287,"score_detail":288,"sources":290,"tags":292,"primary_topic":298,"secondary_topics":299,"classification":300,"search_phrases":321,"slug":324,"view_count":60,"doi":8,"paper":8,"created_at":325},3430,"福建实施'农科+农垦'行动计划——省农科院畜牧兽医所与福州市农垦种禽公司合作意向签约","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Ffjsnykxy\u002F2026-09-24\u002F57733733.html","9月21日下午福建省农科院畜牧兽医研究所与福州市农垦种禽有限责任公司合作意向签约仪式在省农科院埔垱科研综合楼举行。省农科院6个研究所已与福州、三明、南平、宁德等4个设区市的6个国有农场签订《'农科+农垦'高质量发展行动合作意向书》。福州市农垦种禽有限责任公司是福建省唯一父母代蛋种鸡场。双方自2009年起便围绕蛋种鸡疫病防控开展常态化技术协作。下一步牧医所专家团队将聚焦禽白血病、鸡白痢、新城疫、禽流感等家禽重点疫病监测防控。","为深入落实福建省“农科+农垦”高质量发展行动计划，深化院企产学研协同合作，筑牢全省家禽种业安全屏障，2026年9月21日下午，福建省农科院畜牧兽医研究所与福州市农垦种禽有限责任公司合作意向签约仪式在省农科院埔垱科研综合楼顺利举行。省农科院副院长汤浩、省农业农村厅农垦处处长兰亨庭等出席会议，牧医所所长陈华主持签约仪式。\n\n![Image 1](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810696029584790004\u002Fimages\u002F003.png)\n\n据悉，福州市农垦种禽有限责任公司是福建省唯一父母代蛋种鸡场，在全省蛋种鸡保供、种业培育领域占据重要地位。省农科院牧医所与该企业合作基础深厚，双方自2009年起便围绕蛋种鸡疫病防控开展常态化技术协作，持续为企业养殖生产、疫病防治提供专业技术支撑，积累了丰富的务实合作经验。此次合作意向签约，标志着双方多年的零散技术协作正式固化为规范化、长效化的院企合作框架，是省农科院落地“农科+农垦”行动计划的重要实践，对守住福建省家禽种业源头安全、推动种禽产业规范化发展具有重要现实意义。\n\n![Image 2](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810696029584790004\u002Fimages\u002F006.png)\n\n省农业农村厅农垦处处长兰亨庭在本次院企签约合作座谈会上发言。他指出农垦是农业的“国家队”，种业振兴是农业高质量发展的核心抓手。希望双方以此次合作为契机，依托省农科院雄厚的科技、人才资源，持续强化农垦企业科技赋能，补齐种禽产业技术短板，提升家禽养殖标准化、疫病防控精细化水平，充分发挥农垦保供稳产优势，全力推动全省种禽产业高质量发展。\n\n![Image 3](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810696029584790004\u002Fimages\u002F002.png)\n\n省农科院副院长汤浩作总结讲话。他强调，要深度落实“农科+农垦”发展部署，做实院企结对帮扶工作，精准对接企业生产痛点与产业发展需求；加速科研成果转化落地，打通科研成果走向生产一线的“最后一公里”；深化人才共育共建，为农垦产业培育高素质技术人才；健全常态化协同合作机制，保障合作高效有序推进。\n\n![Image 4](https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fpages\u002F810696029584790004\u002Fimages\u002F005.png)\n\n省农科院成果处负责同志、福州市农垦种禽公司企业代表、牧医所专家团队等先后发言，结合产业发展痛点、技术升级需求及科研成果转化方向，深入交流后续合作重点与推进思路。\n\n下一步，牧医所专家团队将聚焦产业核心需求，常态化开展禽白血病、鸡白痢、新城疫、禽流感等家禽重点疫病监测防控，为企业创建疫病净化场提供全方位技术支撑；持续加快先进防控技术的集成熟化与推广应用，联合企业申报各类科技科研项目，精准培育企业本土技术人才队伍，助力企业构建自主技术体系。院企双方将细化完善合作工作清单，加快推进正式技术服务合同签订落地，持续拓展种业创新、健康养殖、疫病防控等多领域合作空间，以科技创新赋能农垦产业提质增效，助力福建特色畜牧产业升级，为乡村产业振兴注入强劲科技动力。（牧医所\u002F黄梅清）","福建省农业科学院 2026-09-24","2026-09-24T00:00:00Z",65,{"impact":175,"substance":74,"depth":176,"authority":97,"freshness":19,"relevant":20,"comment":289},"省级院企合作签约，聚焦蛋种鸡保供与疫病防控，属细分行业实质进展，具备一定聚合价值。",[291],{"name":285,"url":282},[293,294,295,296,297],"种业振兴","院企合作","农科+农垦","蛋种鸡","疫病防控",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":301},{"candidates":302,"agricultural_evidence":45},[303,307,311,316],{"code":35,"score":132,"supported":45,"title":304,"abstract":305,"tags":306},[47],[47],[],{"code":31,"score":52,"supported":45,"title":308,"abstract":309,"tags":310},[],[33],[],{"code":312,"score":20,"supported":14,"title":313,"abstract":314,"tags":315},"F1",[],[],[293],{"code":317,"score":20,"supported":14,"title":318,"abstract":319,"tags":320},"G1",[],[],[294],[322,323],"福建省农科院 福州市农垦种禽 蛋种鸡","农科 农垦 种禽 疫病净化","福建省农科院福州市农垦种禽蛋种鸡-3430","2026-09-25T00:09:32.206738Z",{"id":327,"title":328,"url":329,"summary":330,"summary_zh":8,"content":8,"source_name":331,"source_url":329,"published_at":332,"category":114,"cover_url":8,"hotness":13,"is_selected":14,"score":333,"score_detail":334,"sources":336,"tags":338,"primary_topic":342,"secondary_topics":343,"classification":344,"search_phrases":373,"slug":376,"view_count":52,"doi":377,"paper":378,"created_at":399},3276,"基于梅尔频谱与卷积神经网络的肉鸡叫声小样本识别实现与教学研究","https:\u002F\u002Fdoi.org\u002F10.65436\u002Fhssj.v1i9.64","摘 要：肉鸡叫声能够直观反映其采食、应激、求救等生理与行为状态,准确识别肉鸡叫声对规模化养殖中的动物福利监测和异常预警具有重要意义。然而,肉鸡叫声标注样本获取困难,现有研究多针对单一网络模型展开,缺少在小样本条件下对不同骨干网络及迁移学习策略的系统比较,模型选型缺乏依据。为此,本文构建了包含求救呼叫、愉悦音、短促啾啾、颤音和其他发声共5类、54条原始音频的肉鸡叫声数据集,将音频统一转为128×128维梅尔频谱图作为输入,采用四种典型卷积神经网络,并分别在特征提取式与微调式两种迁移学习策略下进行对比实验,采用分层5折交叉验证评估性能。实验结果表明：AlexNet特征提取式方案取得最优识别效果,总体准确率为59.54%、宏平均F1值为49.10%,其中求救呼叫的F1值达到0.94；轻量级网络MobileNet-V2在微调式策略下性能提升显著,而结构较复杂的网络在小样本下采用冻结骨干的特征提取式训练更为稳定。研究表明,在小样本肉鸡叫声识别任务中,骨干网络与迁移学习策略应根据模型复杂度协同选择,该结论可为面向养殖场景的禽声自动识别系统提供方法选型参考。 基金项目：安徽省教育厅优秀青年教师培育项目（YQYB2026117）；安徽省智慧农业技术与装备重点实验室开放基金（AEC2026016；AEC2025009）；安徽省教育厅自然科学研究项目（重大）（2024AH040217）；省级质量工程-教学研究项目（2023jyxm1009；2023xjzlts117；2023sdxx145）;基于人工智能下的家禽康养与疾病预警技术研究（S202413620055）；基于自监督学习与对抗增强的小样本信号的智能感知研究（2025SK019）；基于深度学习的生猪识别与康养研究（S202513620083）","人文与社会研究学报","2026-09-22T00:00:00Z",59,{"impact":75,"substance":17,"depth":44,"authority":13,"freshness":19,"relevant":20,"comment":335},"小样本肉鸡叫声识别方法选型研究，数据规模有限但结论具参考价值，属细分领域技术进展。",[337],{"name":331,"url":329},[122,339,199,340,341],"农业人工智能","禽声识别","小样本学习",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":345},{"candidates":346,"agricultural_evidence":45},[347,352,357,361,367],{"code":31,"score":44,"supported":45,"title":348,"abstract":350,"tags":351},[349],"肉鸡",[33,349],[],{"code":196,"score":353,"supported":45,"title":354,"abstract":355,"tags":356},4,[],[199],[199],{"code":143,"score":353,"supported":45,"title":358,"abstract":359,"tags":360},[],[122],[122],{"code":362,"score":353,"supported":45,"title":363,"abstract":364,"tags":366},"I2",[],[365],"深度学习",[339],{"code":368,"score":52,"supported":45,"title":369,"abstract":370,"tags":372},"C1",[],[371],"生猪",[],[374,375],"肉鸡叫声 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农业物联网","2026-09-23T23:30:13.762655Z",{"id":401,"title":402,"url":403,"summary":404,"summary_zh":405,"content":8,"source_name":406,"source_url":403,"published_at":407,"category":114,"cover_url":8,"hotness":13,"is_selected":14,"score":408,"score_detail":409,"sources":412,"tags":414,"primary_topic":417,"secondary_topics":418,"classification":424,"search_phrases":447,"slug":450,"view_count":144,"doi":451,"paper":452,"created_at":471},2115,"EdgeHatch: Detection of chicken hatching stages using machine learning on an edge device","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112380","EdgeHatch: Detection of chicken hatching stages using machine learning on an edge device。Computers and Electronics in Agriculture","EdgeHatch：基于边缘设备的机器学习鸡孵化阶段检测。《计算机与电子农业》","Computers and Electronics in 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