[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4002":3,"related-4002":160},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":114,"slug":117,"view_count":21,"doi":118,"paper":119,"created_at":159},4002,"Small millets in India: a review of nutritional security, climate resilience and sustainable livelihoods","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1919531","Small millets ( Setaria italica, Panicum sumatrense, Paspalum scrobiculatum, Echinochloa frumentacea, Panicum miliaceum and Brachiaria ramosa ) are emerging as climate-resilient, nutrient-dense crops with considerable potential to address food insecurity, malnutrition, environmental degradation and livelihood vulnerabilities. Although these crops have long been cultivated under diverse agroecological conditions, their production and consumption declined following the dominance of rice and wheat-based production systems during the Green Revolution. This systematic literature review synthesizes current evidence on the nutritional composition, climate resilience, socio-economic importance, value addition, market opportunities, institutional support and policy interventions related to small millets in India. The review followed the PRISMA 2020 guidelines for systematic literature identification, screening and study selection. Literature published up to June 2026 was systematically retrieved from Scopus, Web of Science Core Collection, ScienceDirect, SpringerLink, CAB Abstracts, AGRICOLA and Google Scholar, together with relevant reports from national and international organizations. After applying predefined inclusion and exclusion criteria, 150 studies were included in the qualitative synthesis. The evidence indicates that small millets are rich sources of dietary fibre, quality protein, essential minerals, vitamins and bioactive compounds such as polyphenols and flavonoids, contributing to nutritional security and reducing the risk of non-communicable diseases. Their tolerance to drought, heat stress, poor soil fertility and low-input production systems makes them highly suitable for climate-smart and sustainable agriculture. Beyond their agronomic and nutritional advantages, small millets support the livelihoods of tribal and marginal farming communities, strengthen indigenous knowledge systems and enhance household food security. The review further highlights the significant role of women in millet cultivation, processing, value addition and marketing, as well as the contributions of self-help groups and farmer organizations to rural development and income generation. Advances in processing technologies, product diversification, entrepreneurship and export opportunities have enhanced the economic potential of the millet sector. National and international initiatives, including the International Year of Millets 2023, millet missions, nutrition-sensitive programmes and institutional interventions, have further accelerated millet promotion. However, challenges such as low productivity, inadequate processing infrastructure, weak market linkages, limited consumer awareness and policy implementation gaps continue to constrain wider adoption. Addressing these challenges through increased research, value chain strengthening, gender-inclusive interventions, market expansion and supportive policy frameworks will be essential for integrating small millets into sustainable food systems and advancing the Sustainable Development Goals related to food and nutritional security, climate resilience, environmental sustainability and inclusive rural livelihoods.","小宗粟类作物（狗尾粟*Setaria italica*、糜子*Panicum sumatrense*、鸭乸草*Paspalum scrobiculatum*、稗子*Echinochloa frumentacea*、黍*Panicum miliaceum*和分枝臂形草*Brachiaria ramosa*）正逐渐成为气候适应性强、营养密集的作物，在应对粮食不安全、营养不良、环境退化和生计脆弱性方面具有巨大潜力。尽管这些作物长期在多样化的农业生态条件下种植，但在绿色革命期间以水稻和小麦为主的生产体系占据主导地位后，其生产和消费量均有所下降。本系统文献综述综合了当前关于印度小宗粟类作物在营养成分、气候韧性、社会经济重要性、增值加工、市场机遇、制度支持和政策干预等方面的证据。本综述遵循PRISMA 2020指南进行系统文献识别、筛选和研究选择。截至2026年6月发表的文献从Scopus、Web of Science核心合集、ScienceDirect、SpringerLink、CAB Abstracts、AGRICOLA和Google Scholar中系统检索，同时纳入国家和国际组织的相关报告。在应用预定义的纳入和排除标准后，共150项研究被纳入定性综合。证据表明，小宗粟类作物富含膳食纤维、优质蛋白质、必需矿物质、维生素以及多酚和类黄酮等生物活性化合物，有助于营养安全并降低非传染性疾病风险。其对干旱、热胁迫、土壤贫瘠和低投入生产体系的耐受性使其非常适合气候智慧型和可持续农业。除农艺和营养优势外，小宗粟类作物还支撑着部落和边缘农户的生计，强化了本土知识体系，并增强了家庭粮食安全。本综述进一步强调了女性在粟类作物种植、加工、增值和营销中的重要作用，以及自助小组和农民组织对农村发展和收入创造的贡献。加工技术的进步、产品多样化、创业精神和出口机会增强了粟类产业的经济潜力。国家和国际倡议，包括2023国际小米年、小米使命、营养敏感型",null,"Frontiers in Sustainable Food Systems","2026-10-01T00:00:00Z","论文",10,false,84,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,18,14,8,1,"基于PRISMA的150篇文献系统综述，系统梳理印度小宗粮豆在营养、气候韧性与生计方面的证据，对杂粮产业与气候智慧型农业有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"气候韧性农业","可持续生计","营养安全","小宗粮豆","价值链加工",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":45},[44,53,61,68,75,82,89,96,103,109],{"code":32,"score":18,"supported":45,"title":46,"abstract":48,"tags":52},true,[47],"climate resilience",[49,50,47,51],"气候适应","干旱","drought",[26],{"code":54,"score":55,"supported":45,"title":56,"abstract":57,"tags":60},"A1",6,[],[58,59],"水稻","rice",[],{"code":62,"score":55,"supported":45,"title":63,"abstract":64,"tags":67},"A2",[],[65,66],"小麦","wheat",[],{"code":69,"score":55,"supported":45,"title":70,"abstract":71,"tags":74},"A8",[],[72,73],"粮食安全","food security",[],{"code":76,"score":55,"supported":45,"title":77,"abstract":78,"tags":81},"G",[],[79,80],"农村发展","rural development",[],{"code":83,"score":55,"supported":45,"title":84,"abstract":85,"tags":88},"H2",[],[86,87],"土壤","soil",[],{"code":90,"score":55,"supported":45,"title":91,"abstract":92,"tags":95},"H8",[],[93,94],"可持续农业","sustainable agriculture",[],{"code":97,"score":98,"supported":45,"title":99,"abstract":100,"tags":102},"A5",3,[],[101],"millet",[],{"code":104,"score":98,"supported":45,"title":105,"abstract":106,"tags":108},"H6",[],[107],"农业生态",[],{"code":110,"score":21,"supported":14,"title":111,"abstract":112,"tags":113},"E2",[],[],[28],[115,116],"印度 小宗粮豆 营养安全","气候韧性农业 价值链加工 可持续生计 小宗粮豆","印度小宗粮豆营养安全-4002","10.3389\u002Ffsufs.2026.1919531",{"doi":118,"openalex_id":120,"authors":121,"venue":10,"cited_by_count":151,"oa_url":6,"card":152,"direction":156,"ingested_from":158},"W7215120991",[122,125,127,130,133,135,138,140,142,145,148],{"name":123,"orcid":124},"Anuradha Narala","https:\u002F\u002Forcid.org\u002F0000-0002-2371-9849",{"name":126,"orcid":9},"Chikkulapally Shekhar",{"name":128,"orcid":129},"Shaik Muneer","https:\u002F\u002Forcid.org\u002F0000-0002-4452-4581",{"name":131,"orcid":132},"Boniga Mohan Uday Raj","https:\u002F\u002Forcid.org\u002F0000-0003-3949-5728",{"name":134,"orcid":9},"Adi Srinivas",{"name":136,"orcid":137},"Swarna Ronanki","https:\u002F\u002Forcid.org\u002F0000-0003-1606-5522",{"name":139,"orcid":9},"Deepika Cheruk",{"name":141,"orcid":9},"Rayirala Rakesh",{"name":143,"orcid":144},"Hanuman Singh Jatav","https:\u002F\u002Forcid.org\u002F0000-0002-4701-670X",{"name":146,"orcid":147},"Rathod Sridhar","https:\u002F\u002Forcid.org\u002F0009-0009-0508-3638",{"name":149,"orcid":150},"C. Tara Satyavathi","https:\u002F\u002Forcid.org\u002F0000-0001-6501-8736",0,{"tldr":153,"method":154,"finding":155,"direction":156,"opportunity":157},"系统综述印度小杂粮的营养、气候韧性与生计价值及政策支持。","PRISMA 2020 系统综述，检索7个数据库，纳入150项研究。","小杂粮营养丰富、耐逆性强，可保障营养安全并支撑边缘农户生计。","农业绿色发展与碳","可研究小杂粮气候韧性量化模型及其在数字乡村产业链中的推广机制。","openalex","2026-10-02T23:30:10.448221Z",{"total":55,"page":21,"page_size":55,"items":161},[162,269,355,452,498,549],{"id":163,"title":164,"url":165,"summary":166,"summary_zh":167,"content":9,"source_name":168,"source_url":165,"published_at":169,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":170,"score_detail":171,"sources":175,"tags":177,"primary_topic":182,"secondary_topics":188,"classification":195,"search_phrases":243,"slug":246,"view_count":247,"doi":248,"paper":249,"created_at":268},4656,"Artificial Intelligence, Foundation Models, and Digital Twins for Climate-Resilient Agriculture: A Review","https:\u002F\u002Fdoi.org\u002F10.54963\u002Fia.v2i2.103039","Climate change, increasing food demand, and resource constraints are accelerating the transition from conventional precision agriculture toward smart, autonomous, and climate-resilient agricultural systems. Artificial intelligence (AI), foundation models, digital twins (DTs), the Internet of Things (IoT), remote sensing, edge–cloud computing, and big data analytics are emerging as key technologies for data-driven agricultural management. This review critically evaluates recent advances in AI-driven intelligent agriculture, with emphasis on machine learning, deep learning, explainable AI (XAI), generative and agentic AI, multimodal foundation models, and digital twins, together with the sensing and computing infrastructures required for their deployment. Relevant literature was identified using keywords related to AI, foundation models, digital twins, IoT, precision agriculture, and climate-resilient agriculture, with emphasis on recent peer-reviewed studies addressing technological applications, performance, limitations, challenges, and future prospects. The selected literature was critically synthesized to identify technological trends, knowledge gaps, and emerging research opportunities. The review highlights that the greatest potential of intelligent agriculture lies in integrating heterogeneous data from sensors, UAVs (unmanned aerial vehicles), satellites, weather systems, field operations, and agricultural knowledge to support context-aware prediction, decision-making, and autonomous action. However, data quality, model generalizability, explainability, interoperability, cybersecurity, computational requirements, and large-scale field validation remain major challenges. This review further develops an integrated perspective connecting AI, foundation models, multimodal data infrastructures, digital twins, and autonomous agricultural systems within a unified cyber-physical ecosystem. Future priorities include trustworthy AI, agentic decision-making, semantic interoperability, federated learning, continuous learning, and self-learning digital twins toward Agriculture 6.0.","气候变化、粮食需求增长与资源约束正加速推动传统精准农业向智能、自主且气候适应型的农业系统转型。人工智能（AI）、基础模型、数字孪生（DT）、物联网（IoT）、遥感、边缘—云计算和大数据分析正成为数据驱动农业管理的关键技术。本综述批判性地评估了人工智能驱动智能农业的最新进展，重点关注机器学习、深度学习、可解释人工智能（XAI）、生成式与代理式人工智能、多模态基础模型和数字孪生，以及其部署所需的传感与计算基础设施。相关文献通过人工智能、基础模型、数字孪生、物联网、精准农业和气候适应型农业等关键词检索获得，重点纳入近期同行评审研究，涵盖技术应用、性能、局限性、挑战与未来前景。对所选文献进行了批判性综合，以识别技术趋势、知识空白和新兴研究机遇。本综述强调，智能农业的最大潜力在于整合来自传感器、无人机（UAV）、卫星、气象系统、田间作业和农业知识的异构数据，以支持情境感知预测、决策和自主行动。然而，数据质量、模型泛化能力、可解释性、互操作性、网络安全、计算需求和大规模田间验证仍是主要挑战。本综述进一步提出了一种整合视角，将人工智能、基础模型、多模态数据基础设施、数字孪生和自主农业系统连接于统一的网络物理生态系统中。未来优先方向包括可信人工智能、代理式决策、语义互操作性、联邦学习、持续学习以及面向农业6.0的自学习数字孪生。","Intelligent Agriculture","2026-10-10T00:00:00Z",81,{"impact":17,"substance":172,"depth":18,"authority":173,"freshness":20,"relevant":21,"comment":174},20,13,"系统综述AI、基础模型与数字孪生在气候韧性农业中的集成路径与挑战，学术价值高，对智慧农业方向有较强参考意义。",[176],{"name":168,"url":165},[178,179,180,181,26],"智慧农业","农业人工智能","农业大模型","数字孪生",{"code":183,"slug":184,"name":185,"path":186,"parent_code":187},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[189,190],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":191,"slug":192,"name":193,"path":194,"parent_code":187},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",{"status":39,"locked":14,"version":40,"method":41,"evidence":196},{"candidates":197,"agricultural_evidence":45},[198,208,216,222,230,237],{"code":183,"score":199,"supported":45,"title":200,"abstract":202,"tags":207},19,[201],"artificial intelligence",[203,204,205,206,201],"深度学习","机器学习","machine learning","deep learning",[179,180],{"code":209,"score":210,"supported":45,"title":211,"abstract":212,"tags":215},"I1",11,[],[213,181,214],"精准农业","precision agriculture",[181,178],{"code":32,"score":13,"supported":45,"title":217,"abstract":218,"tags":221},[],[219,49,220],"气候变化","climate change",[26],{"code":191,"score":223,"supported":45,"title":224,"abstract":225,"tags":229},9,[],[226,227,228],"物联网","internet of things","IoT",[],{"code":231,"score":55,"supported":45,"title":232,"abstract":233,"tags":236},"I3",[],[234,235],"遥感","remote sensing",[],{"code":238,"score":98,"supported":45,"title":239,"abstract":240,"tags":242},"A7",[],[241],"间作",[],[244,245],"农业基础模型 数字孪生","气候韧性农业 人工智能","农业基础模型数字孪生-4656",2,"10.54963\u002Fia.v2i2.103039",{"doi":248,"openalex_id":250,"authors":251,"venue":168,"cited_by_count":151,"oa_url":165,"card":261,"direction":267,"ingested_from":158},"W7221321372",[252,255,258],{"name":253,"orcid":254},"Krishan Kumar","https:\u002F\u002Forcid.org\u002F0009-0005-7569-4590",{"name":256,"orcid":257},"Annu Khatri","https:\u002F\u002Forcid.org\u002F0009-0000-3103-9520",{"name":259,"orcid":260},"Indu Shekhar Thakur","https:\u002F\u002Forcid.org\u002F0000-0003-2382-1218",{"tldr":262,"method":263,"finding":264,"direction":265,"opportunity":266},"综述AI、基础模型与数字孪生如何支撑气候韧性农业，并指出关键挑战与未来方向。","文献综述，聚焦机器学习、深度学习、可解释AI、多模态基础模型与数字孪生。","最大潜力在于融合多源异构数据实现情境感知预测与自主决策，但数据质量与可解释性等仍是瓶颈。","农业人工智能与决策模型","可探索可信AI、联邦学习与自学习数字孪生在真实农田的规模化验证与语义互操作。","智慧农业 \u002F 农业物联网","2026-10-11T23:30:07.465569Z",{"id":270,"title":271,"url":272,"summary":273,"summary_zh":274,"content":9,"source_name":10,"source_url":272,"published_at":275,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":170,"score_detail":276,"sources":278,"tags":280,"primary_topic":285,"secondary_topics":286,"classification":287,"search_phrases":317,"slug":320,"view_count":151,"doi":321,"paper":322,"created_at":354},4485,"Quinoa as an alternative dry season climate resilient crop in the Mekong Delta Vietnam","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1897910","Saline intrusion, drought, and water shortages are causing rice production losses in the Mekong River Delta dry season. Quinoa is a drought tolerant halophyte that could be an alternative crop option to rice or fallow in the dry season. The novelty of growing quinoa in the delta requires an understanding of variety selection and crop optimisation in conditions experienced in the dry season. A range of greenhouse and field trials screened five quinoa varieties (2-want, Sluga, Titicaca, 42- test, and Atlas) for salinity tolerance, fertiliser nitrogen response, and sowing density. The higher yielding varieties, Titicaca and 2-want, had lower biomass and improved water use efficiency in saline and water limited conditions. Nitrogen fertiliser rates of 120 kg N\u002Fha produced the greatest biomass and yield, however lodging occurred, and the 2-want variety recorded negligible yield. Sowing densities between 15 plants\u002Fm 2 and 50 plants\u002Fm 2 had no significant effect on lodging rate and an uncharacteristic heatwave during anthesis causing no measurable yield. Though these experiments identify Titicaca as suitable variety of quinoa based on tolerance to salinity and agronomic performance, sensitivity to temperature has been identified as a risk factor. Manipulating the growing calendar so that saline and water limited tolerant varieties like Titicaca avoid peaks in temperature during anthesis may provide farmers with a suitable dry season alternative crop to rice.","盐水入侵、干旱和水资源短缺正导致湄公河三角洲旱季水稻减产。藜麦（quinoa）是一种耐旱的盐生植物，可作为旱季水稻或休耕的替代作物选择。在三角洲种植藜麦的新颖性要求了解旱季条件下的品种选择和作物优化。通过一系列温室和田间试验，对五个藜麦品种（2-want、Sluga、Titicaca、42-test和Atlas）进行了耐盐性、氮肥响应和播种密度的筛选。高产量的品种Titicaca和2-want在盐渍化和水资源受限条件下具有较低的生物量和较高的水分利用效率。氮肥施用量为120 kg N\u002Fha时产生了最大的生物量和产量，但发生了倒伏，且2-want品种的产量可忽略不计。播种密度在15株\u002Fm²至50株\u002Fm²之间对倒伏率无显著影响，且开花期遭遇的异常热浪未造成可测量的产量损失。尽管这些实验基于耐盐性和农艺表现将Titicaca确定为适宜的藜麦品种，但温度敏感性已被确定为风险因素。调整种植日历，使像Titicaca这样耐盐渍化和水资源受限的品种避开开花期的高温峰值，可能为农民提供一种适宜的旱季水稻替代作物。","2026-10-08T00:00:00Z",{"impact":18,"substance":17,"depth":18,"authority":19,"freshness":223,"relevant":21,"comment":277},"针对湄公河三角洲旱季盐渍化问题筛选耐盐藜麦品种，数据扎实、结论明确，对气候韧性种植有参考价值。",[279],{"name":10,"url":272},[26,281,282,283,284],"藜麦","湄公河三角洲","耐盐碱作物","旱季替代作物",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":288},{"candidates":289,"agricultural_evidence":45},[290,295,299,306,311],{"code":32,"score":291,"supported":45,"title":292,"abstract":293,"tags":294},7,[],[50,51],[26],{"code":54,"score":55,"supported":45,"title":296,"abstract":297,"tags":298},[],[58,59],[],{"code":300,"score":55,"supported":45,"title":301,"abstract":302,"tags":305},"B7",[],[303,304],"温室","greenhouse",[],{"code":97,"score":307,"supported":45,"title":308,"abstract":309,"tags":310},4,[],[281],[281],{"code":312,"score":98,"supported":45,"title":313,"abstract":314,"tags":316},"H3",[],[315],"水资源",[],[318,319],"湄公河三角洲 藜麦 耐盐","Titicaca 藜麦 旱季","湄公河三角洲藜麦耐盐-4485","10.3389\u002Ffsufs.2026.1897910",{"doi":321,"openalex_id":323,"authors":324,"venue":10,"cited_by_count":151,"oa_url":272,"card":349,"direction":156,"ingested_from":158},"W7221048629",[325,327,329,331,333,335,337,340,343,346],{"name":326,"orcid":9},"Duong Hay",{"name":328,"orcid":9},"Binh Duy Nguyen",{"name":330,"orcid":9},"Truong Vinh Hai",{"name":332,"orcid":9},"Tran Phuong Ly",{"name":334,"orcid":9},"Nguyen Long",{"name":336,"orcid":9},"Nguyen Van Loc",{"name":338,"orcid":339},"Châu Minh Khôi","https:\u002F\u002Forcid.org\u002F0000-0002-8533-5752",{"name":341,"orcid":342},"Dang Duy Minh","https:\u002F\u002Forcid.org\u002F0009-0004-5985-1106",{"name":344,"orcid":345},"Jason Condon","https:\u002F\u002Forcid.org\u002F0000-0001-8300-0927",{"name":347,"orcid":348},"Brooke Kaveney","https:\u002F\u002Forcid.org\u002F0000-0001-8132-8961",{"tldr":350,"method":351,"finding":352,"direction":156,"opportunity":353},"在越南湄公河三角洲旱季筛选藜麦品种并优化氮肥与播期，以替代水稻应对盐旱胁迫。","温室与田间试验，测试5个藜麦品种的耐盐性、氮肥响应和播种密度。","Titicaca和2-want耐盐节水且高产，但花期高温敏感；120 kg N\u002Fha增产却易倒伏。","可研究调整播期使耐盐品种避开花期高温，并开发抗倒伏的氮肥管理方案。","2026-10-09T23:30:06.421585Z",{"id":356,"title":357,"url":358,"summary":359,"summary_zh":360,"content":9,"source_name":361,"source_url":358,"published_at":362,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":363,"score_detail":364,"sources":366,"tags":368,"primary_topic":373,"secondary_topics":379,"classification":387,"search_phrases":417,"slug":420,"view_count":21,"doi":421,"paper":422,"created_at":451},4353,"Breeding innovations focused on drought tolerance, and Nitrogen and phosphorus uptake, for sustainable and climate-resilient sugarcane","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1925822","Sugarcane ( Saccharum spp.) is a strategic agro-industrial crop with a central role in global sugar production, bioethanol generation, and the development of sustainable bioeconomy systems. Beyond sugar, sugarcane by-products such as bagasse, molasses, and vinasse represent valuable resources for renewable energy, biofuels, biopolymers, and circular production systems. However, climate change threatens sugarcane productivity worldwide through increased temperatures, irregular rainfall patterns, and intensified drought events, directly affecting biomass accumulation, photosynthesis, and crop yield. This review summarizes current advances in climate-resilient sugarcane breeding and sustainable nutrient management strategies, with emphasis on drought tolerance, nitrogen-use efficiency (NUE), and phosphorus-use efficiency (PUE). Drought induces significant physiological, biochemical, and molecular alterations in sugarcane, including reduced growth, impaired photosynthetic activity, osmotic imbalance, and oxidative stress. Advances in breeding programs, omics technologies, molecular markers, and genetic engineering have improved the understanding of drought tolerance mechanisms and enabled the identification of stress-responsive genes, transcription factors, and candidate molecular markers associated with resilience. In parallel, improving NUE and PUE has become essential to reduce fertilizer dependence and mitigate environmental impacts associated with nutrient losses. Integrated management strategies involving enhanced-efficiency fertilizers, precision agriculture, biological Nitrogen fixation, microbial inoculants, residue recycling, and the development of nutrient-efficient genotypes have shown promising results. Although significant progress has been achieved in genomics and biotechnology, the genetic complexity of sugarcane and limited knowledge of nutrient-related pathways still constrain the development of highly efficient cultivars. The integration of advanced breeding technologies with sustainable agronomic practices will be crucial to ensure resilient and environmentally sustainable sugarcane production under future climate scenarios.","甘蔗（*Saccharum* spp.）是一种战略性农业工业作物，在全球蔗糖生产、生物乙醇制造及可持续生物经济体系发展中发挥着核心作用。除蔗糖外，甘蔗副产品如蔗渣、糖蜜和酒糟是可再生能源、生物燃料、生物聚合物和循环生产系统的宝贵资源。然而，气候变化通过气温升高、降雨模式异常和干旱事件加剧，对全球甘蔗生产力构成威胁，直接影响生物量积累、光合作用和作物产量。本文综述了气候韧性甘蔗育种和可持续养分管理策略的当前进展，重点关注耐旱性、氮利用效率（NUE）和磷利用效率（PUE）。干旱诱导甘蔗发生显著的生理、生化和分子层面的改变，包括生长受阻、光合活性受损、渗透失衡和氧化胁迫。育种计划、组学技术、分子标记和基因工程方面的进展增进了对耐旱机制的理解，并使得与抗逆性相关的胁迫响应基因、转录因子和候选分子标记的鉴定成为可能。与此同时，提高NUE和PUE对于减少肥料依赖和缓解养分流失带来的环境影响已变得至关重要。涉及增效肥料、精准农业、生物固氮、微生物接种剂、残体循环利用以及养分高效基因型开发的综合管理策略已显示出良好前景。尽管在基因组学和生物技术方面已取得重大进展，但甘蔗的遗传复杂性以及对养分相关通路认识的有限性仍制约着高效品种的培育。将先进育种技术与可持续农艺实践相结合，对于确保未来气候情景下甘蔗生产的韧性和环境可持续性至关重要。","Frontiers in Plant Science","2026-10-05T00:00:00Z",78,{"impact":18,"substance":172,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":365},"系统综述甘蔗抗旱与氮磷高效育种进展，属种业与气候韧性农业前沿，具行业参考价值。",[367],{"name":361,"url":358},[369,26,370,371,372],"分子育种","抗旱育种","甘蔗育种","氮磷高效",{"code":374,"slug":375,"name":376,"path":377,"parent_code":378},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",[380,381],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":382,"slug":383,"name":384,"path":385,"parent_code":386},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"status":39,"locked":14,"version":40,"method":41,"evidence":388},{"candidates":389,"agricultural_evidence":45},[390,394,401,408,412],{"code":32,"score":18,"supported":45,"title":391,"abstract":392,"tags":393},[51],[219,50,220,51],[26],{"code":374,"score":395,"supported":45,"title":396,"abstract":398,"tags":400},15,[397],"sugarcane",[399,397],"甘蔗",[371],{"code":382,"score":223,"supported":45,"title":402,"abstract":403,"tags":407},[],[404,405,406],"肥料","养分管理","fertilizer",[],{"code":209,"score":55,"supported":45,"title":409,"abstract":410,"tags":411},[],[213,214],[],{"code":413,"score":21,"supported":14,"title":414,"abstract":415,"tags":416},"F2",[],[],[369],[418,419],"甘蔗 抗旱育种 氮磷利用效率","气候韧性 甘蔗 可持续生产","甘蔗抗旱育种氮磷利用效率-4353","10.3389\u002Ffpls.2026.1925822",{"doi":421,"openalex_id":423,"authors":424,"venue":361,"cited_by_count":151,"oa_url":444,"card":445,"direction":450,"ingested_from":158},"W7220414785",[425,428,431,433,435,438,441],{"name":426,"orcid":427},"María Francisca Perera","https:\u002F\u002Forcid.org\u002F0000-0001-7356-0883",{"name":429,"orcid":430},"Josefina Racedo","https:\u002F\u002Forcid.org\u002F0000-0001-6874-1778",{"name":432,"orcid":9},"Aline Cestaro Salla Sá",{"name":434,"orcid":9},"Joao Vitor de Mello Vomero",{"name":436,"orcid":437},"Thiago Willian Almeida Balsalobre","https:\u002F\u002Forcid.org\u002F0000-0002-7488-0536",{"name":439,"orcid":440},"Márcio Roberto Soares","https:\u002F\u002Forcid.org\u002F0000-0002-9543-6450",{"name":442,"orcid":443},"Monalisa Sampaio Carneiro","https:\u002F\u002Forcid.org\u002F0000-0002-9835-7205","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1925822\u002Fpdf",{"tldr":446,"method":447,"finding":448,"direction":156,"opportunity":449},"综述甘蔗耐旱及氮磷高效利用的育种创新与可持续养分管理策略。","综述组学、分子标记、基因工程及精准农业与微生物菌剂等策略。","耐旱与养分高效基因型结合精准管理可提升气候韧性，但甘蔗遗传复杂仍制约育种。","可探索甘蔗耐旱与氮磷高效协同的分子调控网络及多组学辅助设计育种。","农业遥感与作物表型","2026-10-07T23:30:19.189747Z",{"id":453,"title":454,"url":455,"summary":456,"summary_zh":9,"content":457,"source_name":458,"source_url":9,"published_at":459,"category":460,"cover_url":9,"hotness":13,"is_selected":14,"score":461,"score_detail":462,"sources":464,"tags":466,"primary_topic":471,"secondary_topics":472,"classification":473,"search_phrases":493,"slug":496,"view_count":247,"doi":9,"paper":9,"created_at":497},3298,"给黄淮海粮仓穿上韧性铠甲——气候韧性农业关键技术在泰安集成示范 天空地一体化防灾减灾智慧体系","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7687548454628934183\u002F","9月19日，中国农业科学院重大科技任务黄淮海气候韧性农业关键技术研发与示范现场观摩及任务推进研讨会在山东省泰安市召开。会议由中国农业科学院农业环境与可持续发展研究所组织，集中展示夏玉米抗逆品种、韧性农田、抗逆产品、智能装备及技术集成应用。任务团队围绕精准预警-韧性品种-韧性农田-防控减损-快速重建五维联动技术体系；将气象灾害监测预警决策平台与田间监测、无人机、农业机器人、智能灌排等技术装备协同集成，探索形成灾害感知-智能研判-精准决策-快速响应的智慧防灾链条。","## 给黄淮海粮仓穿上“韧性铠甲”，气候韧性农业关键技术在泰安集成示范\n\n2026-09-20 17:34·[环球网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAvazHMceCo3MeM9IJbll231AC8GkJDcrd__iZFw2hi4o\u002F?source=tuwen_detail)\n\n来源：光明网\n\n9月19日，中国农业科学院重大科技任务“黄淮海气候韧性农业关键技术研发与示范”现场观摩及任务推进研讨会在山东省泰安市召开。会议由中国农业科学院农业环境与可持续发展研究所组织，集中展示夏玉米抗逆品种、韧性农田、抗逆产品、智能装备及技术集成应用，交流研究进展，为黄淮海粮食主产区防灾减损、稳产增效提供科技支撑。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F773d1e55ea7b4e80a25316e3d4f211dd~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790813084&x-signature=%2FwW2BjSLM%2Bxd3IuWn4nYgT2shBg%3D)\n黄淮海是我国小麦、玉米重要产区，高温热害、旱涝急转、连阴雨渍涝等灾害给粮食稳产带来挑战。任务团队围绕“精准预警—韧性品种—韧性农田—防控减损—快速重建”五维联动技术体系，将灾害预警与品种选用、农田改良、栽培管理和应急措施相结合，着力提升农业生产灾前预防、灾中减损和灾后恢复能力。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fbbc85b32abae7b6d222913ed10ae7445~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790813084&x-signature=QpqQYDixKmzRAC0uFz%2FufwlrTcg%3D)\n在洼里村示范区，与会代表实地观摩生态基础设施、技术验证试验和集成示范田，听取示范区建设及关键技术应用情况介绍。示范区依托已有高标准农田，将生态沟渠、灌排一体、水肥一体化等设施与抗逆品种、农艺调控、应急防控等技术配套应用，探索工程设施与农艺措施相结合的韧性农田建设路径。在技术验证和集成示范田，任务团队通过单项技术与集成技术的对比试验，评价不同技术组合的抗逆减损效果，为优化夏玉米全生育期防灾措施提供依据。\n\n围绕打造“天空地”一体化农业防灾减灾智慧体系，任务团队将气象灾害监测预警决策平台与田间监测、无人机、农业机器人、智能灌排等技术装备协同集成，探索形成“灾害感知—智能研判—精准决策—快速响应”的智慧防灾链条。平台可开展高温、干旱等气象灾害风险识别和防控措施推送，无人机及农业机器人可开展灾情勘查、精准施肥、抗逆喷施和应急作业，智能灌排装备根据田间水分状况开展快速调控，推动农业防灾减灾由经验判断、被动应对向智能感知、主动防控转变。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Ff5f20f31849251e940e92ed03f700553~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790813084&x-signature=Ve3OHh9%2F3vnEQtj%2BUvRxRpxSiwU%3D)\n此次观摩集中呈现了重大任务4个子任务协同攻关的阶段性进展。任务团队将灾害智能监测评估、韧性新种质与耕作栽培、韧性农田与抗逆产品等研究成果集成应用于田间，推动“天上看、地上测、平台算、装备干”相互衔接，逐步形成从灾前预警、灾中防控到灾后恢复的全链条技术体系，促进单项技术向系统化、智能化综合防控方案转变。\n\n![Image 4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F5e260517533470ce1d78d4b76482a704~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1790813084&x-signature=OPXutMF2cywkqxZD3uf92C249yM%3D)\n会议期间，任务团队汇报了总体实施进展和各子任务研究情况，与会专家围绕技术集成效果、区域适配和示范推广等进行交流，并就后续任务实施提出意见建议。下一步，任务团队将继续开展黄淮海不同区域的技术验证与模式优化，推进标准化技术规程编制，推动成熟适用技术推广应用。\n\n有关管理部门、任务咨询专家、涉农高校和科研院所，以及当地农业农村部门、气象部门、科技部门、示范基地、新型农业经营主体和任务团队代表共50余人参加会议。（宋雅娟）","光明网（今日头条转载） 2026年09月20日","2026-09-20T09:34:00Z","报道",74,{"impact":17,"substance":18,"depth":395,"authority":173,"freshness":55,"relevant":21,"comment":463},"国家级科研任务在黄淮海主产区的集成示范，五维联动与天空地智慧防灾体系有实质技术增量，值得进入每日精选。",[465],{"name":458,"url":455},[467,26,468,469,470],"黄淮海","天空地一体化","智慧防灾","韧性农田",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":474},{"candidates":475,"agricultural_evidence":45},[476,481,487],{"code":32,"score":223,"supported":45,"title":477,"abstract":479,"tags":480},[478],"防灾减灾",[],[26],{"code":482,"score":98,"supported":45,"title":483,"abstract":484,"tags":486},"A3",[],[485],"玉米",[],{"code":488,"score":98,"supported":45,"title":489,"abstract":490,"tags":492},"F6",[],[491],"农业机器人",[],[494,495],"中国农业科学院 黄淮海 气候韧性农业","泰安 天空地一体化 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等海外科教机构和国际组织联合开展应对气候变化国际合作进展。","9月15日至19日，2026年世界农业科技创新大会（WAFI）在北京举行。大会以“农食系统绿色健康转型”为主题，由中国农业大学、平谷区人民政府、北京市农业农村局和国际农业研究磋商组织（CGIAR）共同主办。会议期间，院长、党委副书记朱艳应邀出席世界农业科学家论坛并作主旨演讲。\n\n[![Image 1: 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