[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3878":3,"related-3878":135},{"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":36,"classification":43,"search_phrases":96,"slug":99,"view_count":100,"doi":101,"paper":102,"created_at":134},3878,"Climate Change and Sustainable Maize Production: Risks, Response and Resilience Pathways","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16192123","Climate change significantly threatens maize (Zea mays L.) production through rising temperatures, erratic precipitation, and extreme weather events, thereby jeopardising global food security. This review synthesises current knowledge on the impacts of climate change, abiotic stresses, crop simulation models, and adaptation strategies for maize. A bibliometric analysis of 485 articles published between 2015 and 2025 and indexed in the Web of Science was conducted using VOSviewer. The results showed a significant increase in publications (Mann–Kendall test, p = 0.0001; R2 = 0.8207), with dominant research themes shifting toward climate-smart agriculture and sustainable intensification. Heat stress, drought, and nutrient deficiencies were identified as the primary abiotic constraints. DSSAT-CERES-Maize and APSIM emerged as the most widely used models for assessing climate impacts and the effectiveness of adaptation strategies. Effective adaptation measures include the use of resilient varieties, optimised water management, conservation agriculture, and diversified cropping systems. Future research should focus on integrated adaptation approaches, improved model validation, and long-term field studies to enhance maize resilience. This study provides a comprehensive overview of the research landscape and highlights critical pathways for ensuring sustainable maize production under changing climate scenarios.","气候变化通过气温升高、降水异常和极端天气事件，严重威胁玉米（Zea mays L.）生产，进而危及全球粮食安全。本文综述了气候变化影响、非生物胁迫、作物模拟模型及玉米适应策略的现有知识。利用VOSviewer对2015至2025年间Web of Science收录的485篇文献进行了文献计量分析。结果表明，发文量显著增加（Mann–Kendall检验，p = 0.0001；R2 = 0.8207），主导研究主题转向气候智慧型农业和可持续集约化。热胁迫、干旱和养分缺乏被确定为主要的非生物限制因素。DSSAT-CERES-Maize和APSIM是评估气候影响及适应策略效果最广泛使用的模型。有效的适应措施包括使用抗逆品种、优化水分管理、保护性农业和多样化种植制度。未来研究应聚焦于综合适应方法、改进模型验证和长期田间试验，以增强玉米的恢复力。本研究全面概述了该领域的研究格局，并指出了在气候变化情景下确保玉米可持续生产的关键路径。",null,"Agriculture","2026-09-30T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,8,1,"基于485篇文献的计量综述，系统梳理气候变化下玉米生产的风险与适应路径，方法规范、结论可靠，对农业科技与智慧农业领域有较高参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","玉米","气候变化","作物模型","适应策略",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[37],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":44,"locked":14,"version":45,"method":46,"evidence":47},"classified","2026-10-22.2","rules",{"candidates":48,"agricultural_evidence":50},[49,57,62,70,77,84,91],{"code":38,"score":17,"supported":50,"title":51,"abstract":53,"tags":56},true,[52],"climate change",[28,54,52,55],"干旱","drought",[28],{"code":32,"score":58,"supported":50,"title":59,"abstract":60,"tags":61},15,[33],[27,33],[27],{"code":63,"score":64,"supported":50,"title":65,"abstract":66,"tags":69},"A8",6,[],[67,68],"粮食安全","food security",[],{"code":71,"score":64,"supported":50,"title":72,"abstract":73,"tags":76},"I7",[],[74,75],"文献计量","bibliometric",[],{"code":78,"score":79,"supported":50,"title":80,"abstract":81,"tags":83},"I1",4,[],[82],"smart agriculture",[26],{"code":85,"score":86,"supported":50,"title":87,"abstract":88,"tags":90},"H8",3,[],[89],"conservation agriculture",[],{"code":92,"score":21,"supported":14,"title":93,"abstract":94,"tags":95},"I2",[],[],[29],[97,98],"玉米 气候变化 适应策略","DSSAT APSIM 玉米","玉米气候变化适应策略-3878",2,"10.3390\u002Fagriculture16192123",{"doi":101,"openalex_id":103,"authors":104,"venue":10,"cited_by_count":125,"oa_url":6,"card":126,"direction":132,"ingested_from":133},"W7214894179",[105,108,111,113,116,119,122],{"name":106,"orcid":107},"Magdoline Mustafa Ahmed Osman","https:\u002F\u002Forcid.org\u002F0009-0003-5743-9161",{"name":109,"orcid":110},"Ronald Kuunya","https:\u002F\u002Forcid.org\u002F0009-0007-3502-0297",{"name":112,"orcid":9},"Erastus Wasikoyo",{"name":114,"orcid":115},"András Tamás","https:\u002F\u002Forcid.org\u002F0000-0001-8175-3300",{"name":117,"orcid":118},"Árpád Illés","https:\u002F\u002Forcid.org\u002F0000-0001-6548-2926",{"name":120,"orcid":121},"Adrienn Széles","https:\u002F\u002Forcid.org\u002F0000-0003-4101-3177",{"name":123,"orcid":124},"Tamás Rátonyi","https:\u002F\u002Forcid.org\u002F0000-0001-9436-5446",0,{"tldr":127,"method":128,"finding":129,"direction":130,"opportunity":131},"综述气候变化对玉米生产的影响，通过文献计量分析揭示研究趋势与适应策略。","文献计量分析485篇文献，使用VOSviewer和DSSAT、APSIM模型。","热胁迫、干旱和营养缺乏是主要限制，气候智慧型农业和可持续集约化成为研究热点。","农业绿色发展与碳","可探索综合适应策略的长期田间验证及模型改进，以增强玉米气候韧性。","智慧农业 \u002F 农业物联网","openalex","2026-10-01T23:30:09.232711Z",{"total":64,"page":21,"page_size":64,"items":136},[137,197,265,335,403,498],{"id":138,"title":139,"url":140,"summary":141,"summary_zh":142,"content":9,"source_name":143,"source_url":140,"published_at":144,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":145,"score_detail":146,"sources":148,"tags":150,"primary_topic":154,"secondary_topics":155,"classification":157,"search_phrases":180,"slug":183,"view_count":21,"doi":184,"paper":185,"created_at":196},4346,"Response of OPV Corn (Zea mays) to Antitranspirants (Chitosan) Under Drought Stress","https:\u002F\u002Fdoi.org\u002F10.64388\u002Firev10i4-1723642","Chitosan is gaining recognition in crop science as a natural antitranspirant that improves plant water-use efficiency and enhances resilience under drought stress. This study investigated the effects of chitosan derived from golden apple snail shells on the growth, physiological response, and yield performance of glutinous open-pollinated variety (OPV) corn (Zea mays) under drought conditions. Conducted from February 23 to April 29, 2025, in Macatoc, Victoria, Oriental Mindoro, the experiment followed a 3×4 factorial design using a Randomized Complete Block Design, with Factor A being water stress intervals (regular, 15 days, and 25 days) and Factor B being chitosan levels (0, 50, 100, and 150 ml\u002FL). Results showed that the first factor (water stress interval) had a significant effect (p\u003C0.05) on key growth traits such as plant height, number of leaves, leaf area, and fresh and dry biomass, with regular watering (A1) producing superior values compared to 15-day (A2) and 25-day (A3) intervals. However, yield components like corn ear diameter, length, and weight showed comparable results between A1 and A2, suggesting moderate water stress did not drastically affect reproductive traits. The second factor (chitosan level) significantly influenced all parameters, with 100 ml\u002FL (B3) producing the best performance in plant height, leaf area, number of leaves, biomass, corn ear traits, Relative Water Content (RWC), and Excised Leaf Water Retention (ELWR). The 150 ml\u002FL treatment (B4) also improved traits but with diminishing gains or slight physiological suppression. The interaction between water stress intervals and chitosan levels was significant for plant height, number of leaves, leaf area, and RWC, especially at 6 and 8 weeks after planting. Notably, the combination of 100 ml\u002FL chitosan and 15-day water stress interval (A2B3) showed performance comparable to the regularly watered treatment, indicating chitosan’s mitigating role under moderate drought. These findings support the application of chitosan at optimal concentrations as an eco-friendly, biodegradable strategy to enhance maize performance under water-limited conditions, reinforcing its value in climate-smart agriculture.","壳聚糖作为一种天然抗蒸腾剂，能够提高植物水分利用效率并增强干旱胁迫下的恢复力，在作物科学领域日益受到关注。本研究探讨了源自金苹果螺壳的壳聚糖对干旱条件下糯性开放授粉品种（OPV）玉米（Zea mays）生长、生理响应及产量表现的影响。试验于2025年2月23日至4月29日在东民都洛省维多利亚市马卡托克进行，采用3×4析因设计，以随机完全区组设计（RCBD）为基础，因素A为水分胁迫间隔（常规浇水、15天、25天），因素B为壳聚糖浓度（0、50、100和150 ml\u002FL）。结果表明，第一因素（水分胁迫间隔）对株高、叶片数、叶面积及鲜重和干重生物量等关键生长性状具有显著影响（p\u003C0.05），常规浇水（A1）的各项指标优于15天（A2）和25天（A3）间隔处理。然而，玉米穗直径、长度和重量等产量构成因素在A1和A2之间表现相当，表明适度水分胁迫未对生殖性状产生剧烈影响。第二因素（壳聚糖浓度）对所有参数均有显著影响，其中100 ml\u002FL（B3）在株高、叶面积、叶片数、生物量、玉米穗性状、相对含水量（RWC）和离体叶片保水能力（ELWR）方面表现最佳。150 ml\u002FL处理（B4）虽也改善了各性状，但增益递减或出现轻微生理抑制。水分胁迫间隔与壳聚糖浓度之间的交互作用对株高、叶片数、叶面积和RWC具有显著影响，尤其在种植后第6周和第8周。值得注意的是，100 ml\u002FL壳聚糖与15天水分胁迫间隔的组合（A2B3）表现与常规浇水处理相当，表明壳聚糖在适度干旱条件下具有缓解作用。这些发现支持将壳聚糖以最优浓度施用作为一种生态友好、可生物降解的策略，以提升玉米在水分受限条件下的表现，进一步印证了其在气候智慧型农业中的价值。","Iconic Research and Engineering Journals","2026-10-06T00:00:00Z",54,{"impact":20,"substance":17,"depth":19,"authority":64,"freshness":20,"relevant":21,"comment":147},"小规模田间试验，结论有一定参考价值但影响范围有限，属细分领域研究进展。",[149],{"name":143,"url":140},[26,27,151,152,153],"抗旱栽培","壳聚糖","水分利用效率",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[156],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":158},{"candidates":159,"agricultural_evidence":50},[160,165,169,176],{"code":32,"score":17,"supported":50,"title":161,"abstract":163,"tags":164},[162],"corn",[27,33,162],[27],{"code":38,"score":19,"supported":50,"title":166,"abstract":167,"tags":168},[55],[54,55],[],{"code":170,"score":64,"supported":50,"title":171,"abstract":172,"tags":175},"B2",[],[173,174],"苹果","apple",[],{"code":78,"score":79,"supported":50,"title":177,"abstract":178,"tags":179},[],[82],[26],[181,182],"壳聚糖 玉米 干旱胁迫","OPV玉米 抗旱 壳聚糖","壳聚糖玉米干旱胁迫-4346","10.64388\u002Firev10i4-1723642",{"doi":184,"openalex_id":186,"authors":187,"venue":143,"cited_by_count":125,"oa_url":190,"card":191,"direction":132,"ingested_from":133},"W7220744122",[188],{"name":189,"orcid":9},"Sharlene D. Andaya","https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723642.pdf",{"tldr":192,"method":193,"finding":194,"direction":130,"opportunity":195},"研究壳聚糖抗蒸腾剂对干旱胁迫下糯玉米生长、生理和产量的影响。","3×4析因试验，水分间隔与壳聚糖浓度，测定生长、生理及产量指标。","100 ml\u002FL壳聚糖配合15天水分间隔可媲美常规灌溉，缓解中度干旱。","可探究壳聚糖与其它生物刺激素复配及在不同作物和田间规模下的节水增产机制。","2026-10-07T23:30:10.272335Z",{"id":198,"title":199,"url":200,"summary":201,"summary_zh":9,"content":9,"source_name":202,"source_url":200,"published_at":203,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":204,"score_detail":205,"sources":208,"tags":210,"primary_topic":215,"secondary_topics":216,"classification":218,"search_phrases":240,"slug":243,"view_count":100,"doi":244,"paper":245,"created_at":264},4650,"A process-oriented framework for daily dynamic monitoring of summer maize drought: From meteorological stress to agricultural impact","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105011","A process-oriented framework for daily dynamic monitoring of summer maize drought: From meteorological stress to agricultural impact。Agricultural Systems","Agricultural Systems","2026-10-11T00:00:00Z",81,{"impact":17,"substance":206,"depth":17,"authority":19,"freshness":13,"relevant":21,"comment":207},21,"核心期刊提出的面向过程的夏玉米干旱逐日动态监测框架，方法新颖、面向农业信息化应用，时效性强，值得进入每日精选。",[209],{"name":202,"url":200},[26,211,212,213,214],"农业遥感","夏玉米","农业气象","干旱监测",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[217],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":219},{"candidates":220,"agricultural_evidence":50},[221,226,231,235],{"code":38,"score":222,"supported":50,"title":223,"abstract":224,"tags":225},13,[55],[55],[213,214],{"code":32,"score":227,"supported":50,"title":228,"abstract":229,"tags":230},12,[33],[33],[212],{"code":78,"score":21,"supported":14,"title":232,"abstract":233,"tags":234},[],[],[26],{"code":236,"score":21,"supported":14,"title":237,"abstract":238,"tags":239},"I3",[],[],[211],[241,242],"夏玉米 干旱 动态监测","气象胁迫 农业影响 监测框架","夏玉米干旱动态监测-4650","10.1016\u002Fj.agsy.2026.105011",{"doi":244,"openalex_id":246,"authors":247,"venue":202,"cited_by_count":125,"oa_url":200,"card":9,"direction":263,"ingested_from":133},"W7221308782",[248,250,252,254,257,259,261],{"name":249,"orcid":9},"Yuanda Zhang",{"name":251,"orcid":9},"Peijuan Wang",{"name":253,"orcid":9},"Jun Zhu",{"name":255,"orcid":256},"Yang Li","https:\u002F\u002Forcid.org\u002F0000-0001-9021-0201",{"name":258,"orcid":9},"Dianchen Han",{"name":260,"orcid":9},"Dingrong Wu",{"name":262,"orcid":9},"Jianping Guo","农业遥感与作物表型","2026-10-11T23:30:03.734429Z",{"id":266,"title":267,"url":268,"summary":269,"summary_zh":270,"content":9,"source_name":271,"source_url":268,"published_at":272,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":273,"score_detail":274,"sources":277,"tags":279,"primary_topic":283,"secondary_topics":284,"classification":291,"search_phrases":311,"slug":314,"view_count":125,"doi":315,"paper":316,"created_at":334},1616,"Climate change, vegetation dynamics, and maize production in Mozambique: evidence from method of moments quantile regression and machine learning","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1889991","This study examines the impacts of climate variability and vegetation dynamics on maize production across 10 provinces in Mozambique using a balanced panel dataset covering the period 2002–2023. Following confirmation of cross-sectional dependence, second-generation panel techniques are employed. The Kao and Westerlund cointegration tests reveal a stable long-run relationship among the variables. Results from the Method of Moments Quantile Regression (MMQREG) indicate significant distributional heterogeneity in climate–maize relationships. Rainfall and the Normalized Difference Vegetation Index (NDVI) positively influence maize output, with stronger effects observed in lower-producing provinces, whereas temperature exerts a negative and statistically significant impact, particularly at the median and upper quantiles. Mediation analysis further confirms that NDVI partially transmits the effects of climatic variables to maize production, providing empirical support for the proposed climate–vegetation–production pathway. Interaction analysis shows that adequate rainfall and healthier vegetation conditions help mitigate temperature-induced stress. In addition, regional analysis across Northern, Central, and Southern Mozambique reveals substantial spatial heterogeneity, with semi-arid provinces exhibiting greater climate sensitivity. Complementary machine learning analysis identifies the K-Nearest Neighbors (KNN) model as the most accurate predictor of maize production, while temperature, NDVI, and rainfall emerge as the most influential predictors. The findings underscore the importance of accounting for both distributional and spatial heterogeneity in climate–agriculture linkages and highlight the need for climate-smart, region-specific interventions and data-driven forecasting tools to strengthen maize productivity and resilience in Mozambique.","本研究利用2002—2023年间的平衡面板数据，考察了气候变率与植被动态对莫桑比克10个省份玉米产量的影响。在确认截面相依性后，采用第二代面板技术进行分析。Kao和Westerlund协整检验显示变量间存在稳定的长期关系。矩分位数回归（MMQREG）结果表明，气候—玉米关系存在显著的分位数异质性。降雨量和归一化植被指数（NDVI）对玉米产量具有正向影响，且在低产省份中效应更强；而温度则产生显著负向影响，尤其在中位数及上分位数处表现明显。中介分析进一步证实，NDVI部分传导了气候变量对玉米产量的影响，为所提出的“气候—植被—产量”路径提供了实证支持。交互作用分析表明，充足的降雨和良好的植被状况有助于缓解温度胁迫。此外，对莫桑比克北部、中部和南部的区域分析揭示了显著的空间异质性，半干旱省份表现出更高的气候敏感性。补充的机器学习分析识别出K近邻（KNN）模型为玉米产量预测精度最高的模型，而温度、NDVI和降雨量则是最具影响力的预测因子。研究结果强调了在气候—农业关联中考虑分布异质性与空间异质性的重要性，并凸显了采取气候智慧型、区域针对性干预措施及数据驱动的预测工具以增强莫桑比克玉米生产力和韧性的必要性。","Frontiers in Sustainable Food Systems","2026-09-03T00:00:00Z",77,{"impact":17,"substance":18,"depth":17,"authority":227,"freshness":275,"relevant":21,"comment":276},7,"论文运用多种计量与机器学习方法，揭示气候与植被对莫桑比克玉米产量的异质性影响，数据详实，结论具区域政策参考价值。",[278],{"name":271,"url":268},[211,280,28,281,282],"机器学习","玉米生产","莫桑比克",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[285,290],{"code":92,"slug":286,"name":287,"path":288,"parent_code":289},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":292},{"candidates":293,"agricultural_evidence":50},[294,299,303,307],{"code":92,"score":58,"supported":50,"title":295,"abstract":297,"tags":298},[296],"machine learning",[280,296],[280],{"code":32,"score":19,"supported":50,"title":300,"abstract":301,"tags":302},[33],[27,33],[],{"code":38,"score":227,"supported":50,"title":304,"abstract":305,"tags":306},[52],[54],[28],{"code":236,"score":21,"supported":14,"title":308,"abstract":309,"tags":310},[],[],[211],[312,313],"农业遥感 机器学习 气候变化 玉米生产","农业遥感 机器学习","农业遥感机器学习气候变化玉米生产-1616","10.3389\u002Ffsufs.2026.1889991",{"doi":315,"openalex_id":317,"authors":318,"venue":271,"cited_by_count":125,"oa_url":327,"card":328,"direction":132,"ingested_from":133},"W7207867677",[319,322,324],{"name":320,"orcid":321},"Faustino Dinis","https:\u002F\u002Forcid.org\u002F0000-0002-5192-0144",{"name":323,"orcid":9},"Jianbo Hu",{"name":325,"orcid":326},"Nazir Muhammad Abdullahi","https:\u002F\u002Forcid.org\u002F0000-0003-2149-0638","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1889991\u002Fpdf",{"tldr":329,"method":330,"finding":331,"direction":332,"opportunity":333},"研究气候变化与植被动态对莫桑比克玉米生产的影响，采用分位数回归和机器学习方法。","使用2002-2023年面板数据，矩分位数回归（MMQREG）和KNN机器学习模","降雨和NDVI正向影响玉米产量，温度负向影响，且存在分布和空间异质性。","农业人工智能与决策模型","可延伸研究气候变化下作物产量预测的机器学习模型优化，或区域适应性农业管理策略。","2026-09-04T23:30:08.552197Z",{"id":336,"title":337,"url":338,"summary":339,"summary_zh":9,"content":340,"source_name":341,"source_url":9,"published_at":342,"category":343,"cover_url":9,"hotness":13,"is_selected":14,"score":344,"score_detail":345,"sources":347,"tags":349,"primary_topic":353,"secondary_topics":354,"classification":356,"search_phrases":398,"slug":401,"view_count":86,"doi":9,"paper":9,"created_at":402},570,"第十四届亚洲玉米大会首次落地四川,聚焦'科技创新应对气候变化'","https:\u002F\u002Fwww.thecover.cn\u002Fnews\u002FxR\u002FEWCWkiryH90qSdq8Jkw==","8 月 15 日,第十四届亚洲玉米大会在成都开幕,32 个国家和地区的 770 余名代表参会。四川本土选育的耐高温耐旱品种在与全球品种的'同台打擂'中胜出。四川省农科院研发了三大核心技术:适配坡耕地的机械化免耕高效种植技术、'一拌一喷'绿色防控技术和山地移动式精准灌溉技术。下一步四川将与 CIMMYT 共建玉米小麦南方研究中心。","“品种是基础，配套技术是保障。”刘永红介绍，针对四川丘陵山地的地形特点，当地研发了三大核心技术：适配坡耕地的机械化免耕高效种植技术、“一拌一喷”绿色防控技术，以及适合山地的移动式精准灌溉技术。良种与良法配套，让四川玉米在今年极端高温伏旱的考验下，依然实现了稳产高产，部分区域还达成了超高产目标。\n\n记者了解到，这是亚洲玉米大会首次落地四川。刘永红表示，大会不仅是展示四川玉米科技与产业成就的窗口，更将撬动深层次国际合作。下一步，四川将与国际玉米小麦改良中心共建玉米小麦南方研究中心，搭建联合实验室，推动科技成果“引进来”与“走出去”双向发力。\n\n本届大会会期涵盖专题报告、分会场研讨、田间观摩、墙报展示及企业论坛等环节，聚焦遗传多样性、气候韧性、病虫害防控、精准农业等11个议题，将全方位呈现玉米科研与产业融合的最新成果。","封面新闻 2026-08-15 四川省农业科学院","2026-08-15T00:00:00Z","报道",74,{"impact":18,"substance":17,"depth":19,"authority":13,"freshness":13,"relevant":21,"comment":346},"亚洲玉米大会首次落地四川，聚焦气候变化应对，展示本地技术成果，具有省级产业影响力，信息增量与深度尚可。",[348],{"name":341,"url":338},[350,351,352,28],"种业","四川省农科院","亚洲玉米大会",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[355],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":357},{"candidates":358,"agricultural_evidence":50},[359,364,369,375,381,387,393],{"code":32,"score":360,"supported":50,"title":361,"abstract":362,"tags":363},11,[27],[27],[],{"code":38,"score":365,"supported":50,"title":366,"abstract":367,"tags":368},9,[28],[],[28],{"code":370,"score":86,"supported":50,"title":371,"abstract":372,"tags":374},"A2",[],[373],"小麦",[],{"code":376,"score":86,"supported":50,"title":377,"abstract":378,"tags":380},"F4",[],[379],"绿色防控",[],{"code":382,"score":86,"supported":50,"title":383,"abstract":384,"tags":386},"F5",[],[385],"机械化",[],{"code":388,"score":86,"supported":50,"title":389,"abstract":390,"tags":392},"H3",[],[391],"灌溉",[],{"code":394,"score":21,"supported":14,"title":395,"abstract":396,"tags":397},"F1",[],[],[350],[399,400],"亚洲玉米大会 四川省农科院 气候变化 种业","亚洲玉米大会 四川省农科院","亚洲玉米大会四川省农科院气候变化种业-570","2026-08-15T23:54:32.409717Z",{"id":404,"title":405,"url":406,"summary":407,"summary_zh":408,"content":9,"source_name":409,"source_url":406,"published_at":410,"category":12,"cover_url":9,"hotness":13,"is_selected":50,"score":411,"score_detail":412,"sources":415,"tags":417,"primary_topic":420,"secondary_topics":421,"classification":427,"search_phrases":461,"slug":464,"view_count":64,"doi":465,"paper":466,"created_at":497},3525,"Multi-source data assimilation of Sentinel-2 reflectance and SMAP soil moisture into APSIM for maize biomass estimation","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10442-6","Crop growth models (CGMs) are valuable tools for agricultural monitoring. However, the need for many input parameters, the uncertainties related to model parametrization and structure, and the lack of spatial information motivate the application of techniques such as data assimilation (DA). This paper proposes a DA framework to improve maize biomass estimation. A particle filter (PF) was used to assimilate remotely sensed reflectance and soil moisture (SM) data, both independently and simultaneously, into the Agricultural Production Systems sIMulator (APSIM) model. Reflectance observations from Sentinel-2 were assimilated through coupling APSIM with the radiative transfer model (RTM) PROSAIL, while SMAP L-band SM products were directly assimilated into APSIM. The synthetic experiment, designed to evaluate the reliability of the proposed procedure, highlighted the strength of assimilating reflectance to constrain crop traits and of SM to provide complementary information on crop water status and to contribute to more robust ensemble trajectories. Real-case results confirmed these findings. DA assimilation of SM proved valuable particularly under data gaps and drought conditions. Although it did not consistently surpass single-source assimilation strategies, the joint assimilation yielded consistent results, especially in 2023, where RMSE, nRMSE and bias were 1258.83 kg\u002Fha, 16.62%, and - 220.52 kg\u002Fha, respectively. The proposed framework demonstrates the potential of multi-source DA to enhance biomass estimation and support robust, spatially explicit crop monitoring.","作物生长模型（CGM）是农业监测的重要工具。然而，其对大量输入参数的需求、模型参数化与结构相关的不确定性以及空间信息的缺乏，推动了数据同化（DA）等技术的应用。本文提出了一种数据同化框架，以改进玉米生物量估算。采用粒子滤波（PF）将遥感反射率和土壤水分（SM）数据分别独立及同时同化进入农业生产系统模拟器（APSIM）模型。Sentinel-2反射率观测数据通过将APSIM与辐射传输模型（RTM）PROSAIL耦合进行同化，而SMAP L波段土壤水分产品则直接同化进入APSIM。为评估所提方法可靠性而设计的合成实验，凸显了同化反射率在约束作物性状方面的优势，以及同化土壤水分在提供作物水分状况补充信息和促进更稳健集合轨迹方面的作用。实际案例结果证实了这些发现。土壤水分数据同化在数据缺失和干旱条件下尤为有价值。尽管联合同化未能持续超越单源同化策略，但其结果具有一致性，尤其在2023年，RMSE、nRMSE和偏差分别为1258.83 kg\u002Fha、16.62%和-220.52 kg\u002Fha。所提出的框架展示了多源数据同化在增强生物量估算和支持稳健、空间显式作物监测方面的潜力。","Precision Agriculture","2026-09-25T00:00:00Z",82,{"impact":17,"substance":18,"depth":413,"authority":19,"freshness":365,"relevant":21,"comment":414},19,"将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型估算玉米生物量，方法新颖、结论可靠，对作物遥感监测有参考价值。",[416],{"name":409,"url":406},[26,27,29,418,419],"遥感监测","数据同化",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[422],{"code":423,"slug":424,"name":425,"path":426,"parent_code":42},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"status":44,"locked":14,"version":45,"method":46,"evidence":428},{"candidates":429,"agricultural_evidence":50},[430,434,439,443,448,452,456],{"code":32,"score":58,"supported":50,"title":431,"abstract":432,"tags":433},[33],[27,33],[27],{"code":423,"score":19,"supported":50,"title":435,"abstract":436,"tags":438},[424],[437,424],"土壤",[],{"code":38,"score":64,"supported":50,"title":440,"abstract":441,"tags":442},[],[54,55],[],{"code":236,"score":79,"supported":50,"title":444,"abstract":445,"tags":447},[],[446],"遥感",[418],{"code":78,"score":21,"supported":14,"title":449,"abstract":450,"tags":451},[],[],[26],{"code":92,"score":21,"supported":14,"title":453,"abstract":454,"tags":455},[],[],[29],{"code":457,"score":21,"supported":14,"title":458,"abstract":459,"tags":460},"I5",[],[],[419],[462,463],"Sentinel-2 SMAP APSIM 玉米生物量","多源数据同化 玉米 遥感","Sentinel-2SMAPAPSIM玉米生物量-3525","10.1007\u002Fs11119-026-10442-6",{"doi":465,"openalex_id":467,"authors":468,"venue":409,"cited_by_count":125,"oa_url":406,"card":492,"direction":263,"ingested_from":133},"W7214405444",[469,471,474,477,480,482,484,487,489],{"name":470,"orcid":9},"Manuela Montella",{"name":472,"orcid":473},"Christian Bossung","https:\u002F\u002Forcid.org\u002F0000-0003-4651-2645",{"name":475,"orcid":476},"Thanh Huy Nguyen","https:\u002F\u002Forcid.org\u002F0000-0003-2471-350X",{"name":478,"orcid":479},"Marco Chini","https:\u002F\u002Forcid.org\u002F0000-0002-9094-0367",{"name":481,"orcid":9},"Jean François Iffly",{"name":483,"orcid":9},"Thomas Udelhoven",{"name":485,"orcid":486},"Julia Kubanek","https:\u002F\u002Forcid.org\u002F0000-0001-9597-2029",{"name":488,"orcid":9},"Zoltan Szantoi",{"name":490,"orcid":491},"Miriam Machwitz","https:\u002F\u002Forcid.org\u002F0000-0002-4999-673X",{"tldr":493,"method":494,"finding":495,"direction":263,"opportunity":496},"将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型，提升玉米生物量估算精度。","粒子滤波同化Sentinel-2反射率（经PROSAIL耦合）与SMAP土壤水分","联合同化结果稳健，2023年RMSE为1258.83 kg\u002Fha，nRMSE 16.62%，偏差-2","可探索多源数据同化在数据缺失与干旱条件下的自适应权重策略，并推广至其他作物与区域。","2026-09-26T23:30:03.247019Z",{"id":499,"title":500,"url":501,"summary":502,"summary_zh":9,"content":503,"source_name":504,"source_url":9,"published_at":505,"category":343,"cover_url":9,"hotness":13,"is_selected":14,"score":506,"score_detail":507,"sources":511,"tags":513,"primary_topic":518,"secondary_topics":519,"classification":521,"search_phrases":532,"slug":535,"view_count":100,"doi":9,"paper":9,"created_at":536},3115,"河南农科院发布夏玉米收获期连阴雨风险应急管理措施——2026 年河南玉米生产遭遇\"穗期高温干旱+授粉灌浆期强降雨+后期连阴雨风险\"三重灾害","https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-114024.html","河南省农业科学院发布《夏玉米收获期连阴雨风险应急管理措施》：当前 9-16 河南夏玉米处于灌浆中后期，豫南南阳大面积乳线处于 1\u002F2 阶段、豫中漯河许昌处于 1\u002F3-1\u002F2 阶段、豫北新乡鹤壁焦作处于 1\u002F4 阶段。今年河南玉米生产过程遭遇\"穗期高温干旱+授粉灌浆期强降雨+后期连阴雨风险\"灾害导致部分区域秃尖、茎基腐、南方锈病部分发生、霉变可能加重。8 月 10-12 日台风\"白海豚\"影响河南，漯河、许昌、平顶山、周口连续 2 天降雨量超 300mm 部分超 400mm。省气象局预测 9 月 19 日起本轮降雨持续至 28 日，针对豫南连阴雨风险较大区域应进行适期晚获和抢时抢收。","当前（9月16日），我省夏玉米处于灌浆中后期，豫南（南阳区域）大面积乳线处于1\u002F2阶段，豫中（漯河、许昌）大面积乳线处于1\u002F3-1\u002F2阶段，豫北（新乡、鹤壁、焦作）大面积乳线处于1\u002F4阶段。豫南基本处于蜡熟期，但距离生理成熟晚熟期还有10-15天左右时间，豫北处于蜡熟初期，距离晚熟期还有15-20天时间。全省玉米距离完全成熟，粒重达到最大均需一定时间。\n\n同时，不同区域均存在零星收获现象，主要是零散小户，受降雨、施肥不足、密度过大等影响，存在部分区域青枯病和早衰现象（漯河部分区域淹水时间较长田块等），大户种植管理措施到位，目前大部分叶片持绿性较好，后期灌浆时间较长，籽粒充实潜力仍较大。\n\n2026年我省玉米生产过程整体良好，好于去年。2026年春季雨水较为充沛，玉米播种期墒情全省整体较好，保障了玉米一播全苗、苗期苗壮。6月18-7月15日，全省近一个月雨水较少，多数地区出现旱情，主要是南阳和驻马店点地区，7月15日后我省大部分区域呈多点短时强降雨情况，旱情得到较大缓解，8月10-12日，台风“白海豚”影响我省，全省较大范围带来强降雨，特别是漯河、许昌、平顶山、周口地区连续2天降雨量超过300mm，部分区域超过400mm，玉米被淹时间超过3天。9月份以来，我省大部分地区土壤偏旱，大多数田块需要浇灌灌浆水，其中，9月8-9日，受冷空气影响，全省降温10-15℃，短暂降温后温度恢复。\n\n根据省气象局预测，预计今年“三秋”期间我省降水呈北少南多分布，气温整体偏高，天气条件整体有利于玉米后期灌浆成熟和收获晾晒。预计9月中下旬，北部、中西部、南部降水量较常年同期偏多；19日起有我省大部地区连阴雨天气，预计持续至28日。此次持续降雨过程将造成光照不足、田间湿度加大，易产生灌浆受阻、病害加重、成熟籽粒霉变等风险。\n\n因此，2026年玉米生产过程遇到“穗期高温干旱+授粉灌浆期强降雨+后期连阴雨风险”灾害，导致部分区域秃尖、茎基腐，南方锈病部分发生，霉变有可能加重等风险。\n\n9月19日起的本轮降雨，会较大程度环节旱情，更有利于下一茬小麦播种，针对我省不同熟期玉米应分类施策，进行适期晚获和抢时抢收。\n\n一、针对豫南连阴雨风险较大区域，该区域玉米大部分进入蜡熟期，玉米籽粒乳线即将消失、基部黑层出现，即将达到收获标准的田块，连阴雨极易造成穗部发芽和霉变风险。这类田块，应抓住19日降水开始前的窗口期或降雨间歇突击抢收，土壤湿软地块优先调集履带式收割机。密切关注天气变化，抢抓晴好天气及时收获。在机械无法完全进入的区域，可组织人工辅助抢收，最大限度降低损失。确保能收尽收，颗粒归仓。\n\n二、针对豫中豫北未达到蜡熟期地块，大部分玉米还未到蜡熟期（乳线1\u002F2），粒重达到最大粒重的70-80%左右，灌浆还在继续。连续阴雨天气会降低植株光合能力，影响籽粒灌浆。建议雨后及时疏通田间沟渠，排涝降渍。低洼地块备好抽排设备，雨后第一时间排净明水，缩短根系泡水时间；严防根系渍害、烂根早衰，保障玉米正常灌浆。二是强化灾后恢复和营养加强，谨防病害蔓延。茎基腐、穗腐病和南方锈病具有进一步加重风险，利用降雨间歇期可最后一次喷施叶面肥，增强营养补偿，提高群体健康程度。直到9月28日，本轮降雨结束后，乳线消失、黑层出现后适期晚收。\n\n三、收获后果穗与籽粒储存。收获后的玉米果穗和籽粒及时进行烘干和晾晒。若采用机械烘干，根据烘干玉米规模和用途不同，选择分段式烘干和连续式烘干设备。若选择自然晾晒，则需抓住晴朗窗口期，将果穗或籽粒平摊晾晒，摊薄散热、定时翻堆通风，防止堆温升高、受潮霉变、发芽变质。待籽粒含水量降至14%以下才能安全储藏。","河南省农业科学院","2026-09-16T00:00:00Z",78,{"impact":508,"substance":18,"depth":509,"authority":222,"freshness":64,"relevant":21,"comment":510},20,17,"省级科研机构针对2026年河南夏玉米三重灾害发布的分类应急管理措施，含具体生育期数据与操作建议，专业性和实用性较强，但时效已过一周。",[512],{"name":504,"url":501},[514,515,212,516,517],"防灾减灾","河南省农科院","连阴雨","适期晚收",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[520],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":522},{"candidates":523,"agricultural_evidence":50},[524,528],{"code":32,"score":227,"supported":50,"title":525,"abstract":526,"tags":527},[27],[27],[212],{"code":38,"score":227,"supported":50,"title":529,"abstract":530,"tags":531},[54],[54],[514],[533,534],"河南农科院 夏玉米 连阴雨","河南 夏玉米 应急管理措施","河南农科院夏玉米连阴雨-3115","2026-09-22T00:05:36.506567Z"]