[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4742":3,"related-4742":126},{"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":43,"search_phrases":92,"slug":95,"view_count":21,"doi":96,"paper":97,"created_at":125},4742,"Boehmeria nivea (Ramie) as a high protein forage crop for small ruminants focusing on agronomic potential, nutritive value, and animal performance","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44372-026-00928-y","Climate related stressors and resource limitations in livestock production are increasing in frequency, making the investigation of resilient, nutrient-dense forage alternatives critical. Boehmeria nivea (ramie) has been traditionally used for its fibre utility but has attracted scientific interest as a high-protein forage crop with strong agronomic adaptability. This review synthesises current knowledge on the botanical characteristics, growth ecology and agronomic practices for the cultivation of ramie as a forage species. Ramie is a vigorous perennial, deep-rooted crop and able to adapt to a wide variety of soils; it shows tolerance to moderate drought and several key pests and diseases, it thrives in warm humid conditions, making it suitable for low-input systems. Ramie possesses a very good nutritive profile with crude protein contents mostly between 15 and 24%, in vitro dry matter digestibility values ranging from 55 to 70% and a range of beneficial bioactive compounds. Comparative evaluations in goats and sheep have shown that ramie can support good dry matter intake. In specific feeding trials, partial replacement of conventional roughage with ramie was associated with a 12–18% increase in average daily gain in growing goats, while replacing 25% of the forage component with ramie was associated with an 8–10% increase in milk yield in dairy goats, alongside antioxidant and rumen-health benefits under the studied conditions. Its relatively low requirement for economic inputs and multiple uses makes it a promising forage within climate-smart agriculture frameworks, although long-term economic and life-cycle assessments are still limited. The integration of Boehmeria nivea into forage systems presents opportunities to enhance livestock productivity and resilience, but further interdisciplinary research is required to optimise management practices and critically evaluate its long-term zootechnical, environmental and economic impacts in low-emission livestock systems.","气候相关的应激源和畜牧生产中的资源限制日益频繁，这使得对具有抗逆性、营养密集的饲草替代品进行研究变得至关重要。苎麻（Boehmeria nivea）传统上因其纤维用途而被利用，但作为一种高蛋白饲草作物，因其较强的农艺适应性而引起了科学界的关注。本文综述了关于苎麻作为饲草物种栽培的植物学特征、生长生态学和农艺实践方面的现有知识。苎麻是一种生长旺盛的多年生深根作物，能够适应多种土壤；它对中度干旱和多种主要病虫害表现出耐受性，在温暖湿润的条件下生长良好，使其适合低投入系统。苎麻具有非常好的营养特性，粗蛋白含量大多在15%至24%之间，体外干物质消化率值为55%至70%，并含有一系列有益的生物活性化合物。在山羊和绵羊中的比较评估表明，苎麻能够支持良好的干物质采食量。在特定饲养试验中，用苎麻部分替代常规粗饲料与生长山羊平均日增重增加12%至18%相关，而用苎麻替代25%的饲草组分与奶山羊产奶量增加8%至10%相关，同时在所研究的条件下还具有抗氧化和瘤胃健康方面的益处。苎麻对经济投入的要求相对较低且具有多种用途，使其成为气候智慧型农业框架内一种有前景的饲草，尽管长期经济性和生命周期评估仍然有限。将苎麻整合到饲草系统中为提升畜牧生产力和抗逆性提供了机会，但仍需进一步的跨学科研究来优化管理实践，并批判性地评估其在低排放畜牧系统中的长期动物技术、环境和经济影响。",null,"Discover Plants.","2026-10-11T00:00:00Z","论文",10,false,70,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":20,"relevant":21,"comment":22},12,20,17,9,1,"系统综述苎麻作为高蛋白饲草的农艺与饲喂效果，数据具体但属细分领域学术进展，产业影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"气候智慧农业","饲草作物","苎麻","草食畜牧","非常规饲料",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"C4","feed","饲料与饲草","\u002Ftopic\u002Flivestock\u002Ffeed","C",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},"C2","ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants",{"status":44,"locked":14,"version":45,"method":46,"evidence":47},"classified","2026-10-22.2","rules",{"candidates":48,"agricultural_evidence":50},[49,57,64,72,79,86],{"code":32,"score":19,"supported":50,"title":51,"abstract":53,"tags":56},true,[52],"forage",[54,55,52],"饲料","饲草",[],{"code":39,"score":20,"supported":50,"title":58,"abstract":59,"tags":63},[],[60,61,62],"绵羊","山羊","sheep",[],{"code":65,"score":66,"supported":50,"title":67,"abstract":68,"tags":71},"H7",7,[],[69,70],"干旱","drought",[26],{"code":36,"score":73,"supported":50,"title":74,"abstract":75,"tags":78},6,[],[76,77],"畜牧","livestock",[],{"code":80,"score":81,"supported":50,"title":82,"abstract":83,"tags":85},"H2",3,[],[84],"土壤",[],{"code":87,"score":81,"supported":50,"title":88,"abstract":89,"tags":91},"I1",[],[90],"smart agriculture",[],[93,94],"Boehmeria nivea 苎麻 饲草","苎麻 山羊 日增重","Boehmerianivea苎麻饲草-4742","10.1007\u002Fs44372-026-00928-y",{"doi":96,"openalex_id":98,"authors":99,"venue":10,"cited_by_count":115,"oa_url":116,"card":117,"direction":123,"ingested_from":124},"W7221473355",[100,103,106,109,111,113],{"name":101,"orcid":102},"Anand Dinesh Jejal","https:\u002F\u002Forcid.org\u002F0009-0004-0798-0336",{"name":104,"orcid":105},"Anurag Saxena","https:\u002F\u002Forcid.org\u002F0000-0002-7089-0294",{"name":107,"orcid":108},"Magan Singh","https:\u002F\u002Forcid.org\u002F0000-0002-4133-3368",{"name":110,"orcid":9},"Pankaj Saraswat",{"name":112,"orcid":9},"Goutam Mondal",{"name":114,"orcid":9},"Satyendra Kumar",0,"https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44372-026-00928-y.pdf",{"tldr":118,"method":119,"finding":120,"direction":121,"opportunity":122},"综述苎麻作为高蛋白饲草的营养价值、农艺潜力及在小型反刍动物中的饲喂效果。","文献综述，整合苎麻农艺、营养与山羊绵羊饲喂试验数据。","苎麻粗蛋白15-24%，替代粗饲料可使山羊日增重提高12-18%、奶山羊产奶量提高8-10%。","农业绿色发展与碳","苎麻饲草系统的长期生命周期评估、低排放养殖集成及精准饲喂管理尚属研究空白。","智慧农业 \u002F 农业物联网","openalex","2026-10-12T23:30:07.848443Z",{"total":73,"page":21,"page_size":73,"items":127},[128,216,318,370,419,483],{"id":129,"title":130,"url":131,"summary":132,"summary_zh":133,"content":9,"source_name":134,"source_url":131,"published_at":135,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":136,"score_detail":137,"sources":143,"tags":145,"primary_topic":151,"secondary_topics":157,"classification":160,"search_phrases":183,"slug":186,"view_count":21,"doi":187,"paper":188,"created_at":215},4552,"Rice straw for ruminants: processing technologies, nutritive value, feeding responses and environmental trade-offs","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1919149","Rice straw is an abundant roughage resource for ruminants, but low crude protein, lignified and silicified cell walls, and limited fermentable energy constrain intake and nutrient utilization. This critical review synthesizes processing technologies, nutritive value, feeding responses and environmental trade-offs, drawing on recent literature and a descriptive evidence map of 10 representative in vivo studies, predominantly from 2024 to 2026. Physical processing improves handling and ration mixing but has limited effects on structural recalcitrance. Urea ammoniation supplies non-protein nitrogen, while alkaline treatment increases fibre accessibility; recent buffalo trials report improved intake, digestibility and microbial nitrogen synthesis with urea–lime treatment. Ensiling and co-ensiling preserve wet straw, with sugar sources and microbial additives supporting fermentation. Co-ensiling with complementary crops or residues has maintained growth in sheep and improved intake, fibre digestion and milk output in dairy cows under specific formulations. Fungal, microbial and enzyme-assisted treatments show potential to improve cell-wall degradation, although farm-scale feeding validation remains limited. Nutritional gains depend on the complete ration, particularly fermentable energy, protein supply and physically effective fibre. Recent lamb evidence illustrates this dependence: partial replacement of conventional roughage with fermented rice straw maintained performance, whereas greater replacement impaired digestibility and feed conversion. Environmental benefits are similarly conditional. Diverting straw from open burning and replacing conventional forage may reduce pollution and resource demand, but processing inputs, transport, storage losses, enteric methane and nitrogen excretion can offset these gains. Methane responses vary with treatment and diet, and reduced animal-level emissions do not necessarily establish lower emissions per unit of product. Contaminant testing remains essential because processing cannot eliminate elemental pollutants. Across the mapped studies, nutritional and productive responses were more frequently reported than safety, economics or whole-chain environmental outcomes. Current evidence supports processed rice straw as a partial roughage component in balanced diets, while its contribution to sustainable food systems depends on maintained animal output, safe feedstock and locally demonstrated environmental and practical benefits.","水稻秸秆是反刍动物丰富的粗饲料资源，但其粗蛋白含量低、细胞壁木质化和硅化，且可发酵能有限，制约了采食量和养分利用率。本批判性综述综合了加工技术、营养价值、饲喂响应及环境权衡方面的研究，依据近期文献及一项涵盖10项代表性体内研究的描述性证据图，这些研究主要来自2024至2026年。物理加工可改善操作性能和日粮混合，但对结构性抗降解作用有限。尿素氨化可提供非蛋白氮，而碱处理可提高纤维可及性；近期水牛试验报道，尿素-石灰处理可改善采食量、消化率和微生物氮合成。青贮和混合青贮可保存湿秸秆，糖源和微生物添加剂可促进发酵。与互补作物或残留物混合青贮在特定配方下可维持绵羊生长，并改善奶牛的采食量、纤维消化和产奶量。真菌、微生物和酶辅助处理显示出改善细胞壁降解的潜力，但农场规模的饲喂验证仍然有限。营养改善取决于全价日粮，尤其是可发酵能、蛋白质供给和物理有效纤维。近期羔羊证据说明了这种依赖性：用发酵水稻秸秆部分替代常规粗饲料可维持生产性能，而替代比例较高则损害消化率和饲料转化率。环境效益同样是有条件的。将秸秆从露天焚烧中分流并替代常规饲草可减少污染和资源需求，但加工投入、运输、储存损失、肠道甲烷和氮排泄可能抵消这些收益。甲烷响应因处理方式和日粮而异，动物个体排放量的降低并不一定意味着单位产品排放量降低。污染物检测仍然至关重要，因为加工无法消除元素污染物。在所梳理的研究中，营养和生产性能响应比安全性、经济学或全链条环境结果更常被报道。当前证据支持将加工水稻秸秆作为均衡日粮中的部分粗饲料成分，而其对可持续食物体系的贡献取决于维持动物生产性能、安全的饲料原料以及经当地验证的环境和实际效益。","Frontiers in Sustainable Food Systems","2026-10-09T00:00:00Z",73,{"impact":17,"substance":138,"depth":139,"authority":140,"freshness":141,"relevant":21,"comment":142},21,18,14,8,"系统综述水稻秸秆加工技术、营养价值与饲喂效果及环境权衡，对秸秆饲料化利用有参考价值，但属综述类论文，产业影响有限。",[144],{"name":134,"url":131},[146,147,148,149,150],"农业废弃物","秸秆利用","反刍动物","饲料加工","可持续养殖",{"code":152,"slug":153,"name":154,"path":155,"parent_code":156},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","A",[158,159],{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":44,"locked":14,"version":45,"method":46,"evidence":161},{"candidates":162,"agricultural_evidence":50},[163,167,172,177],{"code":152,"score":140,"supported":50,"title":164,"abstract":165,"tags":166},[153],[154,153],[],{"code":39,"score":20,"supported":50,"title":168,"abstract":169,"tags":171},[],[170,60,62],"奶牛",[],{"code":32,"score":20,"supported":50,"title":173,"abstract":174,"tags":176},[],[54,55,175,52],"青贮",[],{"code":178,"score":179,"supported":14,"title":180,"abstract":181,"tags":182},"H5",2,[],[],[146,147],[184,185],"水稻秸秆 反刍动物 饲料化","尿素氨化 秸秆 瘤胃","水稻秸秆反刍动物饲料化-4552","10.3389\u002Ffsufs.2026.1919149",{"doi":187,"openalex_id":189,"authors":190,"venue":134,"cited_by_count":115,"oa_url":209,"card":210,"direction":121,"ingested_from":124},"W7221085931",[191,194,196,199,202,204,206],{"name":192,"orcid":193},"Xiong Li","https:\u002F\u002Forcid.org\u002F0000-0001-9614-7194",{"name":195,"orcid":9},"Jianbo Li",{"name":197,"orcid":198},"Yang Luo","https:\u002F\u002Forcid.org\u002F0000-0001-7385-6166",{"name":200,"orcid":201},"Kangle Yi","https:\u002F\u002Forcid.org\u002F0009-0003-9002-8874",{"name":203,"orcid":9},"Baizhong Zhang",{"name":205,"orcid":9},"Huifen Deng",{"name":207,"orcid":208},"Ao Sun","https:\u002F\u002Forcid.org\u002F0000-0002-8249-3229","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1919149\u002Fpdf",{"tldr":211,"method":212,"finding":213,"direction":121,"opportunity":214},"综述稻秸加工技术、营养价值、饲喂效果与环境权衡，指出其可作为反刍动物部分粗饲料。","文献综述与10项体内研究的描述性证据图，聚焦2024-2026年数据。","加工稻秸可部分替代粗饲料，但营养与环境效益取决于全混合日粮和本地条件。","需开展农场尺度验证及全链条环境、安全与经济评估，明确稻秸替代的边界条件。","2026-10-10T23:30:05.899686Z",{"id":217,"title":218,"url":219,"summary":220,"summary_zh":221,"content":9,"source_name":222,"source_url":219,"published_at":223,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":224,"score_detail":225,"sources":229,"tags":231,"primary_topic":237,"secondary_topics":242,"classification":250,"search_phrases":285,"slug":288,"view_count":115,"doi":289,"paper":290,"created_at":317},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 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