[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4353":3,"related-4353":131},{"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":50,"search_phrases":93,"slug":96,"view_count":21,"doi":97,"paper":98,"created_at":130},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。",null,"Frontiers in Plant Science","2026-10-05T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,20,14,8,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"分子育种","气候韧性农业","抗旱育种","甘蔗育种","氮磷高效",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",[38,44],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":57},[56,65,72,80,88],{"code":45,"score":17,"supported":57,"title":58,"abstract":60,"tags":64},true,[59],"drought",[61,62,63,59],"气候变化","干旱","climate change",[27],{"code":32,"score":66,"supported":57,"title":67,"abstract":69,"tags":71},15,[68],"sugarcane",[70,68],"甘蔗",[29],{"code":39,"score":73,"supported":57,"title":74,"abstract":75,"tags":79},9,[],[76,77,78],"肥料","养分管理","fertilizer",[],{"code":81,"score":82,"supported":57,"title":83,"abstract":84,"tags":87},"I1",6,[],[85,86],"精准农业","precision agriculture",[],{"code":89,"score":21,"supported":14,"title":90,"abstract":91,"tags":92},"F2",[],[],[26],[94,95],"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":97,"openalex_id":99,"authors":100,"venue":10,"cited_by_count":120,"oa_url":121,"card":122,"direction":128,"ingested_from":129},"W7220414785",[101,104,107,109,111,114,117],{"name":102,"orcid":103},"María Francisca Perera","https:\u002F\u002Forcid.org\u002F0000-0001-7356-0883",{"name":105,"orcid":106},"Josefina Racedo","https:\u002F\u002Forcid.org\u002F0000-0001-6874-1778",{"name":108,"orcid":9},"Aline Cestaro Salla Sá",{"name":110,"orcid":9},"Joao Vitor de Mello Vomero",{"name":112,"orcid":113},"Thiago Willian Almeida Balsalobre","https:\u002F\u002Forcid.org\u002F0000-0002-7488-0536",{"name":115,"orcid":116},"Márcio Roberto Soares","https:\u002F\u002Forcid.org\u002F0000-0002-9543-6450",{"name":118,"orcid":119},"Monalisa Sampaio Carneiro","https:\u002F\u002Forcid.org\u002F0000-0002-9835-7205",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1925822\u002Fpdf",{"tldr":123,"method":124,"finding":125,"direction":126,"opportunity":127},"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。","农业绿色发展与碳","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","openalex","2026-10-07T23:30:19.189747Z",{"total":82,"page":21,"page_size":82,"items":132},[133,235,329,398,475,550],{"id":134,"title":135,"url":136,"summary":137,"summary_zh":138,"content":9,"source_name":139,"source_url":136,"published_at":140,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":141,"score_detail":142,"sources":146,"tags":148,"primary_topic":153,"secondary_topics":157,"classification":160,"search_phrases":207,"slug":210,"view_count":21,"doi":211,"paper":212,"created_at":234},2295,"Biofilm biofertilizer mitigates water stress in rice: impact on growth, yield, and grain quality","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1819208","Introduction Continuous flooding in paddy ( Oryza sativa L.) cultivation challenges sustainable agriculture and food security amid climate change. Biofilm biofertilizer (BFBF) can improve soil organic matter and nutrient content without compromising yield, but its effect on plant water use and grain quality under restricted irrigation remains untested. This study evaluated BFBF's effect on rice water consumption under progressively limited irrigation. Methods A 3-month pot experiment used wetland (At 314) and dryland (Bg 251) rice varieties under two fertilizer practices, chemical fertilizer (CF, 340 kg NPK ha −1 ) and BFBF (225 kg NPK ha −1 + 2.5 L BFBF ha −1 ), and three water treatments (flooded, 100% field capacity, 65% field capacity), in a three-factor factorial completely randomized design ( n = 3). Total water usage, water use efficiency (WUE), net assimilation rate (NAR), relative growth rate (RGR), yield components, macronutrients (carbohydrates, proteins, lipids), and heavy metal content were recorded; significance was assessed via three-factor ANOVA (variety × fertilizer × water) with Tukey’s HSD test ( p \u003C 0.05). Results Total water use was significantly reduced under BFBF only in the wetland variety (ca. 12% under flooded, 10% at 100% field capacity, and no reduction at 65% field capacity). Grain Cd and Pb fell by 34 and 81%, respectively, under BFBF. Carbohydrate, protein, and lipid contents, Fe and Zn concentrations, and yield components were unaffected by fertilizer practice, varying only by variety and\u002For water treatment. BFBF increased NAR and RGR by ca. 33 and 7%, respectively, across all water treatments. Overall, BFBF matched full-rate CF for yield and nutritional composition while reducing water use and heavy-metal accumulation under dryland, water-limited conditions. Conclusion Collectively, these results position BFBF as a candidate drought-resilience strategy for rice cultivation, reducing water demand and heavy-metal accumulation without compromising grain yield or quality, particularly for dryland, water-limited conditions. Multi-season field trials are needed to confirm these responses at scale.","引言 水稻（Oryza sativa L.）栽培中的持续淹水在气候变化背景下对可持续农业和粮食安全构成挑战。生物膜生物肥料（biofilm biofertilizer，BFBF）能够在不影响产量的前提下提高土壤有机质和养分含量，但其在限制灌溉条件下对植物水分利用和稻米品质的影响尚未得到验证。本研究评估了BFBF在逐步限制灌溉条件下对水稻耗水量的影响。方法 采用为期3个月的盆栽试验，选用湿地品种（At 314）和旱地品种（Bg 251），设置两种施肥方式——化肥（chemical fertilizer，CF，340 kg NPK ha⁻¹）和BFBF（225 kg NPK ha⁻¹ + 2.5 L BFBF ha⁻¹），以及三种水分处理（淹水、100%田间持水量、65%田间持水量），采用三因素析因完全随机设计（n = 3）。记录总用水量、水分利用效率（water use efficiency，WUE）、净同化速率（net assimilation rate，NAR）、相对生长速率（relative growth rate，RGR）、产量构成因素、大量营养素（碳水化合物、蛋白质、脂质）及重金属含量；通过三因素方差分析（品种 × 肥料 × 水分）结合Tukey's HSD检验评估显著性（p \u003C 0.05）。结果 仅在湿地品种中，BFBF显著降低了总用水量（淹水条件下约降低12%，100%田间持水量下约降低10%，65%田间持水量下无降低）。BFBF处理下稻米Cd和Pb分别降低34%和81%。碳水化合物、蛋白质和脂质含量、Fe和Zn浓度及产量构成因素不受施肥方式影响，仅随品种和\u002F或水分处理变化。在所有水分处理下，BFBF使NAR和RGR分别提高约33%和7%。总体而言，BFBF在产量和营养组成方面与全量化肥相当，同时在旱地、水分受限条件下减少了用水量和重金属积累。结论 综合来看，这些结果表明BFBF可作为水稻栽培中应对干旱的候选策略，在不影响籽粒产量或品质的前提下降低水分需求和重金属积累，尤其适用于旱地、水分受限条件。仍需多季田间试验以在规模化条件下验证这些响应。","Frontiers in Sustainable Food Systems","2026-09-11T00:00:00Z",75,{"impact":66,"substance":143,"depth":17,"authority":144,"freshness":20,"relevant":21,"comment":145},21,13,"盆栽试验证实生物膜菌肥在限水条件下可减水降镉铅且不减产，属有数据支撑的节水抗逆新结论，但仅为单季盆栽研究，产业级影响有限。",[147],{"name":139,"url":136},[149,150,28,151,152],"水稻","节水灌溉","生物膜菌肥","重金属阻控",{"code":154,"slug":155,"name":149,"path":156,"parent_code":36},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice",[158,159],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":161},{"candidates":162,"agricultural_evidence":57},[163,169,174,178,186,193,200],{"code":154,"score":17,"supported":57,"title":164,"abstract":165,"tags":168},[155],[149,166,155,167],"稻米","paddy",[149],{"code":39,"score":73,"supported":57,"title":170,"abstract":171,"tags":173},[],[172,76,78],"施肥",[],{"code":45,"score":73,"supported":57,"title":175,"abstract":176,"tags":177},[],[61,62,63,59],[],{"code":179,"score":180,"supported":57,"title":181,"abstract":182,"tags":185},"H3",7,[],[183,184],"灌溉","irrigation",[150],{"code":187,"score":82,"supported":57,"title":188,"abstract":189,"tags":192},"A8",[],[190,191],"粮食安全","food security",[],{"code":194,"score":82,"supported":57,"title":195,"abstract":196,"tags":199},"H2",[],[197,198],"土壤","soil",[],{"code":201,"score":82,"supported":57,"title":202,"abstract":203,"tags":206},"H8",[],[204,205],"可持续农业","sustainable agriculture",[],[208,209],"生物膜菌肥 重金属阻控 抗旱育种 节水灌溉","生物膜菌肥 重金属阻控","生物膜菌肥重金属阻控抗旱育种节水灌溉-2295","10.3389\u002Ffsufs.2026.1819208",{"doi":211,"openalex_id":213,"authors":214,"venue":139,"cited_by_count":120,"oa_url":136,"card":229,"direction":126,"ingested_from":129},"W7212303356",[215,217,219,221,224,227],{"name":216,"orcid":9},"Chamudika Gunawardhana",{"name":218,"orcid":9},"Aravindi Epa",{"name":220,"orcid":9},"Sidath Ekanayake",{"name":222,"orcid":223},"Mahesh Premarathna","https:\u002F\u002Forcid.org\u002F0000-0002-6127-3956",{"name":225,"orcid":226},"Gamini Seneviratne","https:\u002F\u002Forcid.org\u002F0000-0003-1562-4097",{"name":228,"orcid":9},"Saman Seneweera",{"tldr":230,"method":231,"finding":232,"direction":126,"opportunity":233},"盆栽试验表明生物膜菌肥可降低水稻耗水与重金属积累，且不减产。","3个月盆栽三因素试验，2品种×2施肥×3水分，测耗水、生长、产量与品质。","菌肥使湿地稻耗水降约12%，籽粒镉铅降34%和81%，产量品质与全量化肥相当。","可开展多季田间验证，并探究菌肥节水降镉的微生物机制与区域适配性。","2026-09-13T23:30:07.401817Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":139,"source_url":238,"published_at":241,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":242,"score_detail":243,"sources":247,"tags":249,"primary_topic":254,"secondary_topics":257,"classification":260,"search_phrases":298,"slug":301,"view_count":120,"doi":302,"paper":303,"created_at":328},1603,"Organically enriched water from an integrated agri-aquaculture system enhances antioxidant defense and secondary metabolism in blackberry (Rubus ulmifolius cv. Tupy)","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1927797","Introduction Integrated agri-aquaculture systems can improve water-use efficiency and nutrient recycling in semiarid and arid regions increasingly affected by climate change; however, the physiological responses of fruit crops to aquaculture-derived irrigation water remain poorly understood. This study evaluated the growth, photosynthetic status, and biochemical responses of blackberry ( Rubus ulmifolius cv. Tupy) irrigated with organically enriched water from an integrated tilapia–blackberry system operated under geodesic-dome conditions in semidesert central Mexico. Methods Four irrigation treatments were compared: a conventional nutrient solution, unsupplemented tilapia-culture effluent, tilapia-culture effluent supplemented with mineral nutrients, and well water adjusted to the same pH as the fertilized treatments. Plant growth traits, leaf greenness, normalized difference vegetation index, antioxidant enzyme activities, total phenolic compounds, and flavonoids were monitored for 216 h after irrigation began. Results and discussion Plants irrigated with supplemented tilapia-culture effluent maintained growth and canopy greenness comparable to those receiving the conventional nutrient solution. In contrast, unsupplemented tilapia-culture effluent and well water induced stronger antioxidant and secondary-metabolic responses, particularly in superoxide dismutase and catalase activities and in the temporal dynamics of phenolic compounds and flavonoids, whereas phenylalanine ammonia-lyase showed a weaker and later response. These patterns suggest that mineral-supplemented effluent primarily supported vegetative performance, whereas unsupplemented effluent was associated with a nutritional elicitation response potentially related to relative nutrient limitation and biologically active components in the effluent. During the 216-h evaluation period, unsupplemented effluent maintained plant performance comparable to that under the fertilized treatments, suggesting that aquaculture-derived water may reduce mineral-fertilizer inputs during specific crop stages. Because the experiment was short-term, no conclusions can be drawn regarding long-term productivity, fruit quality, or sustained plant responses. Overall, the findings support the potential of integrated agri-aquaculture systems as a water-smart approach for blackberry cultivation in water-limited semidesert environments.","引言 综合农业-水产养殖系统可提高半干旱和干旱地区（日益受气候变化影响）的水分利用效率和养分循环利用；然而，果树作物对水产养殖源灌溉水的生理响应仍知之甚少。本研究评估了在墨西哥中部半沙漠地区测地穹顶条件下，以罗非鱼-黑莓综合系统产生的有机富集水灌溉黑莓（Rubus ulmifolius cv. Tupy）时的生长、光合状态及生化响应。方法 比较了四种灌溉处理：常规营养液、未补充矿质营养的罗非鱼养殖废水、补充矿质营养的罗非鱼养殖废水，以及与施肥处理调节至相同pH值的水井水。在灌溉开始后的216小时内，监测了植株生长性状、叶片绿色度、归一化差异植被指数、抗氧化酶活性、总酚类化合物及黄酮类化合物。结果与讨论 以补充矿质营养的罗非鱼养殖废水灌溉的植株，其生长和冠层绿色度与接受常规营养液的植株相当。相比之下，未补充矿质营养的罗非鱼养殖废水和井水诱导了更强的抗氧化和次生代谢响应，尤其是超氧化物歧化酶和过氧化氢酶活性以及酚类化合物和黄酮类化合物的时间动态变化，而苯丙氨酸解氨酶则表现出较弱且较迟的响应。这些模式表明，补充矿质营养的废水主要支持营养生长性能，而未补充矿质营养的废水则与营养激发响应相关，该响应可能涉及相对养分限制及废水中生物活性成分的作用。在216小时的评估期内，未补充矿质营养的废水维持的植株性能与施肥处理相当，表明水产养殖源水可在特定作物阶段减少矿质肥料投入。由于本实验为短期研究，无法就长期生产力、果实品质或植株持续响应得出结论。总体而言，研究结果支持综合农业-水产养殖系统作为水资源有限半沙漠环境中黑莓种植的水智能型方法的潜力。","2026-09-03T00:00:00Z",66,{"impact":244,"substance":17,"depth":245,"authority":144,"freshness":180,"relevant":21,"comment":246},12,16,"研究探索鱼菜共生系统灌溉黑莓的生理响应，为半干旱地区节水农业提供新思路，但属短期试验，影响有限。",[248],{"name":139,"url":238},[250,251,150,252,253],"智慧农业","水产养殖","循环农业","黑莓",{"code":179,"slug":184,"name":255,"path":256,"parent_code":49},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",[258,259],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":261},{"candidates":262,"agricultural_evidence":57},[263,270,275,279,283,290,294],{"code":264,"score":66,"supported":57,"title":265,"abstract":267,"tags":269},"D",[266],"aquaculture",[268,266],"水产",[251],{"code":179,"score":13,"supported":57,"title":271,"abstract":272,"tags":274},[],[183,273,184],"水资源",[150],{"code":39,"score":73,"supported":57,"title":276,"abstract":277,"tags":278},[],[172,76,78],[],{"code":45,"score":73,"supported":57,"title":280,"abstract":281,"tags":282},[],[61,62,63],[],{"code":284,"score":285,"supported":57,"title":286,"abstract":287,"tags":289},"B2",3,[],[288],"果树",[],{"code":201,"score":21,"supported":14,"title":291,"abstract":292,"tags":293},[],[],[252],{"code":81,"score":21,"supported":14,"title":295,"abstract":296,"tags":297},[],[],[250],[299,300],"循环农业 智慧农业 水产养殖 节水灌溉","循环农业 智慧农业","循环农业智慧农业水产养殖节水灌溉-1603","10.3389\u002Ffsufs.2026.1927797",{"doi":302,"openalex_id":304,"authors":305,"venue":139,"cited_by_count":120,"oa_url":238,"card":322,"direction":326,"ingested_from":129},"W7207518495",[306,309,311,313,315,318,320],{"name":307,"orcid":308},"Priscila Sarai Flores-Aguilar","https:\u002F\u002Forcid.org\u002F0000-0001-5708-4960",{"name":310,"orcid":9},"Ireri A. Carbajal-Valenzuela",{"name":312,"orcid":9},"Carlos Olvera-Olvera",{"name":314,"orcid":9},"Genaro Martin Soto-Zarazúa",{"name":316,"orcid":317},"Gobinath Chandrakasan","https:\u002F\u002Forcid.org\u002F0000-0002-3919-3677",{"name":319,"orcid":9},"Edgar Rivas-Araiza",{"name":321,"orcid":9},"Jose L. Gonzalez-Cordoba",{"tldr":323,"method":324,"finding":325,"direction":326,"opportunity":327},"研究罗非鱼-黑莓综合养殖系统中有机富集水对黑莓生长和生理的影响。","比较四种灌溉处理，监测生长、光合、抗氧化酶和次生代谢物。","补充矿物质的养殖废水维持生长，未补充的诱导抗氧化和次生代谢响应，可减少化肥。","智慧农业 \u002F 农业物联网","长期效应和果实品质未知，可研究养殖废水灌溉对黑莓产量和品质的长期影响及机制。","2026-09-04T23:30:07.706501Z",{"id":330,"title":331,"url":332,"summary":333,"summary_zh":9,"content":334,"source_name":335,"source_url":9,"published_at":336,"category":337,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":338,"sources":342,"tags":344,"primary_topic":349,"secondary_topics":350,"classification":358,"search_phrases":393,"slug":396,"view_count":285,"doi":9,"paper":9,"created_at":397},435,"三节点采样方案实现滴灌棉田温室气体精准采集——中国农科院西部中心与棉花所建立干旱区棉田碳监测技术体系","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002F7ef7293fed924affbc040b406faa3a4e.htm","中国农业科学院西部农业研究中心联合棉花研究所揭示了干旱区滴灌棉田温室气体排放变化规律,建立了三节点滴灌棉田温室气体精准采集技术体系。膜下滴灌水肥一体化技术为新疆棉花高产稳产提供了重要技术支撑,但灌溉施肥过程会引起土壤温室气体排放快速波动,传统采样方式难以实现农田温室气体的精准监测。研究发现,灌溉施肥后第1天是温室气体排放峰值形成的关键时期,据此提出了'灌溉前1天—灌溉后1天—灌溉后5天'三节点精准采样方案,相关研究成果发表在《农业水管理》(Agricultural Water Management)上。","近日，中国农业科学院西部农业研究中心联合棉花研究所揭示了干旱区滴灌棉田温室气体排放变化规律，建立了三节点滴灌棉田温室气体精准采集技术体系。相关研究成果发表在《农业水管理（Agricultural Water Management）》上。\n\n膜下滴灌水肥一体化技术为新疆棉花高产稳产提供了重要技术支撑，但灌溉施肥过程会引起土壤温室气体排放快速波动，传统采样方式难以实现农田温室气体的精准监测。\n\n该研究发现，灌溉施肥后第1天是温室气体排放峰值形成的关键时期，据此提出了“灌溉前1天—灌溉后1天—灌溉后5天”三节点精准采样方案。该方案能够在减少采样工作量的同时，保留温室气体排放关键动态信息，保持较高的排放估算精度。研究构建的关键时期识别—精准采样优化—排放精准估算技术体系，为干旱区滴灌棉田温室气体监测提供了科学方案。","中国农业科学院 2026-08-08","2026-08-08T00:00:00Z","报道",{"impact":18,"substance":339,"depth":17,"authority":19,"freshness":340,"relevant":21,"comment":341},22,4,"国家级科研机构发布滴灌棉田温室气体监测技术体系，方法新颖、数据详实，对农业碳减排有实质贡献，但发布已过4天，时效性稍弱。",[343],{"name":335,"url":332},[345,346,347,348],"中国农科院","棉花","温室气体","西部农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[351,357],{"code":352,"slug":353,"name":354,"path":355,"parent_code":356},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":359},{"candidates":360,"agricultural_evidence":57},[361,365,371,375,380,384,388],{"code":32,"score":244,"supported":57,"title":362,"abstract":363,"tags":364},[346],[346],[346],{"code":352,"score":366,"supported":57,"title":367,"abstract":369,"tags":370},11,[368],"温室",[368],[],{"code":45,"score":366,"supported":57,"title":372,"abstract":373,"tags":374},[62],[62],[],{"code":39,"score":82,"supported":57,"title":376,"abstract":377,"tags":379},[],[172,378],"水肥一体化",[],{"code":194,"score":285,"supported":57,"title":381,"abstract":382,"tags":383},[],[197],[],{"code":179,"score":285,"supported":57,"title":385,"abstract":386,"tags":387},[],[183],[],{"code":389,"score":21,"supported":14,"title":390,"abstract":391,"tags":392},"H4",[],[],[347],[394,395],"中国农科院 温室气体 西部农业 棉花","中国农科院 温室气体","中国农科院温室气体西部农业棉花-435","2026-08-12T23:57:22.438495Z",{"id":399,"title":400,"url":401,"summary":402,"summary_zh":403,"content":9,"source_name":404,"source_url":401,"published_at":405,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":406,"score_detail":407,"sources":409,"tags":411,"primary_topic":415,"secondary_topics":416,"classification":421,"search_phrases":444,"slug":447,"view_count":448,"doi":449,"paper":450,"created_at":474},2521,"From family trials to genomic mate allocation: statistical and genomic strategies to accelerate sugarcane genetic improvement","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00122-026-05373-9","Sugarcane (Saccharum spp.) underpins global sugar and bioenergy supply and is increasingly valued as a renewable biomass feedstock. Sustained improvement in commercial traits and resilience is constrained by long breeding cycles, clonal propagation, multi-stage testing, and a highly polyploid, heterozygous, and frequently aneuploid genome with substantial non-additive genetic variation. Genomic selection has demonstrated value for predicting elite-clone performance, yet its operational use remains limited at earlier decision points, including family selection, parent evaluation, and cross design. This review examines the biological, statistical, and genomic factors that shape these decisions, with emphasis on the Australian breeding context based on progeny assessment trials (PATs), clonal assessment trials (CATs), and final assessment trials (FATs). We evaluate challenges arising from family plot means, the use of different full-sib samples as nominal family replicates, spatial heterogeneity, competition, genotype-by-environment interaction, and the partitioning of additive and non-additive effects. We also assess the integration of pedigree and genomic relationship, genotype representation, allele-dosage estimation, aneuploidy, genomic prediction models, and training-population design. We then consider genomic prediction of cross performance and constrained mate allocation as approaches for improving expected family performance, accounting for cross-specific non-additive effects and managing relatedness. We propose a decision-centred framework that links family and clonal data across breeding stages, tracks the propagation of information and uncertainty, and supports parent recycling and cross allocation. We conclude with a practical research agenda for stage-integrated mixed-model and single-step analyses that connect early family evaluation with genomic prediction and cross-level decision support in sugarcane breeding.","甘蔗（\u003Ci>Saccharum\u003C\u002Fi> spp.）支撑着全球糖料与生物能源供应，并作为可再生生物质原料日益受到重视。商业性状与适应性的持续改良受到长育种周期、无性繁殖、多阶段测试以及高度多倍体、杂合且常为非整倍体基因组的制约，后者具有大量非加性遗传变异。基因组选择在预测优良无性系表现方面已显示出价值，但其在更早期决策节点（包括家系选择、亲本评价和杂交设计）中的实际应用仍然有限。本文综述了影响这些决策的生物学、统计学和基因组学因素，重点聚焦于基于后代评估试验（PATs）、无性系评估试验（CATs）和最终评估试验（FATs）的澳大利亚育种背景。我们评估了由家系小区均值、使用不同全同胞样本作为名义家系重复、空间异质性、竞争、基因型×环境互作以及加性与非加性效应划分所带来的挑战。我们还评估了系谱与基因组亲缘关系的整合、基因型代表性、等位基因剂量估计、非整倍性、基因组预测模型和训练群体设计。随后，我们考虑了杂交表现的基因组预测和约束配对分配作为改善预期家系表现的方法，同时兼顾杂交特异性非加性效应并管理亲缘关系。我们提出了一个以决策为中心的框架，该框架连接育种各阶段的家系与无性系数据，追踪信息和不确定性的传播，并支持亲本循环利用与杂交分配。最后，我们提出了一个面向阶段整合混合模型和单步分析的实际研究议程，将早期家系评价与基因组预测及甘蔗育种中的杂交水平决策支持相连接。","Theoretical and Applied Genetics","2026-09-12T00:00:00Z",80,{"impact":17,"substance":339,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":408},"核心期刊综述，系统梳理甘蔗育种中基因组预测与亲本选配的统计与基因组策略，方法新颖、专业深度高，对作物智能育种有参考价值，但属细分领域学术进展，公共影响范围有限。",[410],{"name":404,"url":401},[412,413,26,414,29],"农业人工智能","种业振兴","基因组选择",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[417],{"code":89,"slug":418,"name":419,"path":420,"parent_code":43},"biotechnology","生物育种与基因技术","\u002Ftopic\u002Finputs-equipment\u002Fbiotechnology",{"status":51,"locked":14,"version":52,"method":53,"evidence":422},{"candidates":423,"agricultural_evidence":57},[424,428,433,439],{"code":32,"score":66,"supported":57,"title":425,"abstract":426,"tags":427},[68],[70,68],[29],{"code":89,"score":20,"supported":57,"title":429,"abstract":430,"tags":432},[],[414,431],"genomic selection",[26,414],{"code":434,"score":340,"supported":57,"title":435,"abstract":436,"tags":438},"I2",[],[437],"decision support",[412],{"code":440,"score":21,"supported":14,"title":441,"abstract":442,"tags":443},"F1",[],[],[413],[445,446],"农业人工智能 基因组选择 分子育种 甘蔗育种","农业人工智能 基因组选择","农业人工智能基因组选择分子育种甘蔗育种-2521",2,"10.1007\u002Fs00122-026-05373-9",{"doi":449,"openalex_id":451,"authors":452,"venue":404,"cited_by_count":120,"oa_url":467,"card":468,"direction":128,"ingested_from":129},"W7212382599",[453,456,458,461,464],{"name":454,"orcid":455},"Andrew Rigby","https:\u002F\u002Forcid.org\u002F0009-0006-3626-3875",{"name":457,"orcid":9},"Felicity Atkin",{"name":459,"orcid":460},"Ben J. Hayes","https:\u002F\u002Forcid.org\u002F0000-0002-5606-3970",{"name":462,"orcid":463},"Lee T. Hickey","https:\u002F\u002Forcid.org\u002F0000-0001-6909-7101",{"name":465,"orcid":466},"Seema Yadav","https:\u002F\u002Forcid.org\u002F0000-0001-7191-7770","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs00122-026-05373-9.pdf",{"tldr":469,"method":470,"finding":471,"direction":472,"opportunity":473},"综述甘蔗育种早期决策的统计与基因组策略，提出连接家系与无性系数据的决策框架。","基于澳大利亚PAT\u002FCAT\u002FFAT试验，整合系谱与基因组关系、等位基因剂量及预测","基因组预测与约束交配分配可优化家系表现，需处理非加性效应和亲缘关系。","农业人工智能与决策模型","开发阶段整合的混合模型与单步分析，将早期家系评估与基因组预测及杂交决策支持相连。","2026-09-15T23:30:16.012181Z",{"id":476,"title":477,"url":478,"summary":479,"summary_zh":480,"content":9,"source_name":481,"source_url":478,"published_at":482,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":483,"score_detail":484,"sources":486,"tags":488,"primary_topic":492,"secondary_topics":497,"classification":499,"search_phrases":534,"slug":537,"view_count":120,"doi":538,"paper":539,"created_at":549},5158,"POTATO LATE BLIGHT CAUSED BY PHYTOPHTHORA INFESTANS: BIOLOGY,EPIDEMIOLOGY, CLIMATE CHANGE, AND SUSTAINABLE MANAGEMENT STRATEGIES","https:\u002F\u002Fdoi.org\u002F10.56093\u002Fpotatoj.v53i1.181670","Potato late blight, caused by Phytophthora infestans, remains one of the mostdestructive diseases affecting global potato production, resulting in substantial yield and economiclosses. This review summarizes the pathogen’s biology, disease cycle, epidemiology, host–pathogeninteractions, and current diagnostic approaches, along with major management strategies, includingcultural practices, host resistance, biological control, botanical extracts, chemical control, diseaseforecasting, and integrated disease management. It also highlights the impacts of climate changeon disease distribution and severity, as well as recent advances in molecular breeding, genomeediting, and precision agriculture. Overall, sustainable management of potato late blight requiresintegrating resistant cultivars, environmentally friendly control measures, disease forecasting, andjudicious fungicide use. Continued research on durable resistance, climate-smart management, andemerging biotechnological tools will be essential to enhance potato resilience and ensure futurefood security.","由致病疫霉（Phytophthora infestans）引起的马铃薯晚疫病仍是影响全球马铃薯生产的最具破坏性的病害之一，造成严重的产量和经济损失。本文综述了该病原菌的生物学特性、病害循环、流行病学、寄主—病原互作及当前诊断方法，并总结了主要防控策略，包括栽培措施、寄主抗性、生物防治、植物提取物、化学防治、病害预测及病害综合管理。文章还重点讨论了气候变化对病害分布和严重度的影响，以及分子育种、基因组编辑和精准农业方面的最新进展。总体而言，马铃薯晚疫病的可持续治理需要整合抗病品种、环境友好型防控措施、病害预测和合理使用杀菌剂。持续开展持久抗性、气候智慧型管理及新兴生物技术工具的研究，对于增强马铃薯抗逆性和保障未来粮食安全至关重要。","Potato Journal","2026-10-15T00:00:00Z",82,{"impact":339,"substance":143,"depth":17,"authority":144,"freshness":20,"relevant":21,"comment":485},"核心期刊综述，系统梳理晚疫病生物学、气候变化影响与可持续防控，对马铃薯病害防控与智慧植保具参考价值，但属综述类论文，非突破性成果。",[487],{"name":481,"url":478},[489,490,26,61,491],"马铃薯","绿色防控","晚疫病",{"code":493,"slug":494,"name":495,"path":496,"parent_code":36},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains",[498],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":500},{"candidates":501,"agricultural_evidence":57},[502,507,511,516,520,526,530],{"code":493,"score":66,"supported":57,"title":503,"abstract":505,"tags":506},[504],"potato",[489,504],[489],{"code":45,"score":244,"supported":57,"title":508,"abstract":509,"tags":510},[63],[61],[61],{"code":89,"score":180,"supported":57,"title":512,"abstract":513,"tags":515},[],[26,514],"molecular breeding",[26],{"code":81,"score":82,"supported":57,"title":517,"abstract":518,"tags":519},[],[85,86],[],{"code":521,"score":340,"supported":57,"title":522,"abstract":523,"tags":525},"F4",[],[524],"生物防治",[490],{"code":187,"score":285,"supported":57,"title":527,"abstract":528,"tags":529},[],[190],[],{"code":201,"score":21,"supported":14,"title":531,"abstract":532,"tags":533},[],[],[490],[535,536],"马铃薯 晚疫病 致病疫霉","Potato Journal 晚疫病","马铃薯晚疫病致病疫霉-5158","10.56093\u002Fpotatoj.v53i1.181670",{"doi":538,"openalex_id":540,"authors":541,"venue":481,"cited_by_count":120,"oa_url":478,"card":544,"direction":326,"ingested_from":129},"W7222725701",[542],{"name":543,"orcid":9},"Sujata Bashyal",{"tldr":545,"method":546,"finding":547,"direction":472,"opportunity":548},"综述马铃薯晚疫病的生物学、流行学、气候变化影响及可持续防控策略。","文献综述，整合病原生物学、诊断、抗性育种、生物防治与精准农业技术。","可持续防控需整合抗病品种、绿色措施、病害预测与合理用药。","可结合气象与遥感数据构建气候智慧型晚疫病预测模型，支撑精准施药决策。","2026-10-17T23:30:12.547775Z",{"id":551,"title":552,"url":553,"summary":554,"summary_zh":555,"content":9,"source_name":556,"source_url":553,"published_at":557,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":558,"score_detail":559,"sources":561,"tags":563,"primary_topic":566,"secondary_topics":571,"classification":578,"search_phrases":620,"slug":623,"view_count":448,"doi":624,"paper":625,"created_at":642},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":339,"substance":18,"depth":17,"authority":144,"freshness":20,"relevant":21,"comment":560},"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。",[562],{"name":556,"url":553},[250,412,564,565,27],"农业大模型","数字孪生",{"code":434,"slug":567,"name":568,"path":569,"parent_code":570},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[572,573],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"code":574,"slug":575,"name":576,"path":577,"parent_code":570},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",{"status":51,"locked":14,"version":52,"method":53,"evidence":579},{"candidates":580,"agricultural_evidence":57},[581,591,595,600,607,614],{"code":434,"score":582,"supported":57,"title":583,"abstract":585,"tags":590},19,[584],"artificial intelligence",[586,587,588,589,584],"深度学习","机器学习","machine learning","deep learning",[412,564],{"code":81,"score":366,"supported":57,"title":592,"abstract":593,"tags":594},[],[85,565,86],[565,250],{"code":45,"score":13,"supported":57,"title":596,"abstract":597,"tags":599},[],[61,598,63],"气候适应",[27],{"code":574,"score":73,"supported":57,"title":601,"abstract":602,"tags":606},[],[603,604,605],"物联网","internet of things","IoT",[],{"code":608,"score":82,"supported":57,"title":609,"abstract":610,"tags":613},"I3",[],[611,612],"遥感","remote sensing",[],{"code":615,"score":285,"supported":57,"title":616,"abstract":617,"tags":619},"A7",[],[618],"间作",[],[621,622],"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","10.54963\u002Fia.v2i2.103039",{"doi":624,"openalex_id":626,"authors":627,"venue":556,"cited_by_count":120,"oa_url":553,"card":637,"direction":326,"ingested_from":129},"W7221321372",[628,631,634],{"name":629,"orcid":630},"Krishan Kumar","https:\u002F\u002Forcid.org\u002F0009-0005-7569-4590",{"name":632,"orcid":633},"Annu Khatri","https:\u002F\u002Forcid.org\u002F0009-0000-3103-9520",{"name":635,"orcid":636},"Indu Shekhar Thakur","https:\u002F\u002Forcid.org\u002F0000-0003-2382-1218",{"tldr":638,"method":639,"finding":640,"direction":472,"opportunity":641},"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。","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。","2026-10-11T23:30:07.465569Z"]