[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4346":3,"related-4346":96},{"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":75,"slug":78,"view_count":21,"doi":79,"paper":80,"created_at":95},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。",null,"Iconic Research and Engineering Journals","2026-10-06T00:00:00Z","论文",10,false,54,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,18,14,6,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","玉米","抗旱栽培","壳聚糖","水分利用效率",{"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},[49,55,61,68],{"code":32,"score":18,"supported":50,"title":51,"abstract":53,"tags":54},true,[52],"corn",[27,33,52],[27],{"code":38,"score":19,"supported":50,"title":56,"abstract":58,"tags":60},[57],"drought",[59,57],"干旱",[],{"code":62,"score":20,"supported":50,"title":63,"abstract":64,"tags":67},"B2",[],[65,66],"苹果","apple",[],{"code":69,"score":70,"supported":50,"title":71,"abstract":72,"tags":74},"I1",4,[],[73],"smart agriculture",[26],[76,77],"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":79,"openalex_id":81,"authors":82,"venue":10,"cited_by_count":85,"oa_url":86,"card":87,"direction":93,"ingested_from":94},"W7220744122",[83],{"name":84,"orcid":9},"Sharlene D. Andaya",0,"https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723642.pdf",{"tldr":88,"method":89,"finding":90,"direction":91,"opportunity":92},"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。","农业绿色发展与碳","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。","智慧农业 \u002F 农业物联网","openalex","2026-10-07T23:30:10.272335Z",{"total":20,"page":21,"page_size":20,"items":97},[98,197,265,305,375,427],{"id":99,"title":100,"url":101,"summary":102,"summary_zh":103,"content":9,"source_name":104,"source_url":101,"published_at":105,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":106,"score_detail":107,"sources":110,"tags":112,"primary_topic":116,"secondary_topics":117,"classification":119,"search_phrases":162,"slug":165,"view_count":166,"doi":167,"paper":168,"created_at":196},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。","Agriculture","2026-09-30T00:00:00Z",80,{"impact":18,"substance":108,"depth":18,"authority":19,"freshness":17,"relevant":21,"comment":109},22,"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。",[111],{"name":104,"url":101},[26,27,113,114,115],"气候变化","作物模型","适应策略",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[118],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":120},{"candidates":121,"agricultural_evidence":50},[122,127,132,139,146,150,157],{"code":38,"score":18,"supported":50,"title":123,"abstract":125,"tags":126},[124],"climate change",[113,59,124,57],[113],{"code":32,"score":128,"supported":50,"title":129,"abstract":130,"tags":131},15,[33],[27,33],[27],{"code":133,"score":20,"supported":50,"title":134,"abstract":135,"tags":138},"A8",[],[136,137],"粮食安全","food security",[],{"code":140,"score":20,"supported":50,"title":141,"abstract":142,"tags":145},"I7",[],[143,144],"文献计量","bibliometric",[],{"code":69,"score":70,"supported":50,"title":147,"abstract":148,"tags":149},[],[73],[26],{"code":151,"score":152,"supported":50,"title":153,"abstract":154,"tags":156},"H8",3,[],[155],"conservation agriculture",[],{"code":158,"score":21,"supported":14,"title":159,"abstract":160,"tags":161},"I2",[],[],[114],[163,164],"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":167,"openalex_id":169,"authors":170,"venue":104,"cited_by_count":85,"oa_url":101,"card":191,"direction":93,"ingested_from":94},"W7214894179",[171,174,177,179,182,185,188],{"name":172,"orcid":173},"Magdoline Mustafa Ahmed Osman","https:\u002F\u002Forcid.org\u002F0009-0003-5743-9161",{"name":175,"orcid":176},"Ronald Kuunya","https:\u002F\u002Forcid.org\u002F0009-0007-3502-0297",{"name":178,"orcid":9},"Erastus Wasikoyo",{"name":180,"orcid":181},"András Tamás","https:\u002F\u002Forcid.org\u002F0000-0001-8175-3300",{"name":183,"orcid":184},"Árpád Illés","https:\u002F\u002Forcid.org\u002F0000-0001-6548-2926",{"name":186,"orcid":187},"Adrienn Széles","https:\u002F\u002Forcid.org\u002F0000-0003-4101-3177",{"name":189,"orcid":190},"Tamás Rátonyi","https:\u002F\u002Forcid.org\u002F0000-0001-9436-5446",{"tldr":192,"method":193,"finding":194,"direction":91,"opportunity":195},"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。","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。","2026-10-01T23:30:09.232711Z",{"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":166,"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":18,"substance":206,"depth":18,"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,[57],[57],[213,214],{"code":32,"score":227,"supported":50,"title":228,"abstract":229,"tags":230},12,[33],[33],[212],{"code":69,"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":85,"oa_url":200,"card":9,"direction":263,"ingested_from":94},"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":9,"content":270,"source_name":271,"source_url":9,"published_at":272,"category":273,"cover_url":9,"hotness":13,"is_selected":14,"score":274,"score_detail":275,"sources":279,"tags":281,"primary_topic":286,"secondary_topics":287,"classification":289,"search_phrases":300,"slug":303,"view_count":166,"doi":9,"paper":9,"created_at":304},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","报道",78,{"impact":276,"substance":108,"depth":277,"authority":222,"freshness":20,"relevant":21,"comment":278},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。",[280],{"name":271,"url":268},[282,283,212,284,285],"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},[288],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":290},{"candidates":291,"agricultural_evidence":50},[292,296],{"code":32,"score":227,"supported":50,"title":293,"abstract":294,"tags":295},[27],[27],[212],{"code":38,"score":227,"supported":50,"title":297,"abstract":298,"tags":299},[59],[59],[282],[301,302],"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",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":310,"content":9,"source_name":311,"source_url":308,"published_at":312,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":313,"score_detail":314,"sources":317,"tags":319,"primary_topic":323,"secondary_topics":324,"classification":331,"search_phrases":351,"slug":354,"view_count":85,"doi":355,"paper":356,"created_at":374},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":18,"substance":108,"depth":18,"authority":227,"freshness":315,"relevant":21,"comment":316},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。",[318],{"name":311,"url":308},[211,320,113,321,322],"机器学习","玉米生产","莫桑比克",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[325,330],{"code":158,"slug":326,"name":327,"path":328,"parent_code":329},"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":332},{"candidates":333,"agricultural_evidence":50},[334,339,343,347],{"code":158,"score":128,"supported":50,"title":335,"abstract":337,"tags":338},[336],"machine learning",[320,336],[320],{"code":32,"score":19,"supported":50,"title":340,"abstract":341,"tags":342},[33],[27,33],[],{"code":38,"score":227,"supported":50,"title":344,"abstract":345,"tags":346},[124],[59],[113],{"code":236,"score":21,"supported":14,"title":348,"abstract":349,"tags":350},[],[],[211],[352,353],"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":355,"openalex_id":357,"authors":358,"venue":311,"cited_by_count":85,"oa_url":367,"card":368,"direction":93,"ingested_from":94},"W7207867677",[359,362,364],{"name":360,"orcid":361},"Faustino Dinis","https:\u002F\u002Forcid.org\u002F0000-0002-5192-0144",{"name":363,"orcid":9},"Jianbo Hu",{"name":365,"orcid":366},"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":369,"method":370,"finding":371,"direction":372,"opportunity":373},"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":376,"title":377,"url":378,"summary":379,"summary_zh":9,"content":380,"source_name":381,"source_url":9,"published_at":382,"category":273,"cover_url":9,"hotness":13,"is_selected":14,"score":274,"score_detail":383,"sources":386,"tags":388,"primary_topic":397,"secondary_topics":398,"classification":400,"search_phrases":422,"slug":425,"view_count":70,"doi":9,"paper":9,"created_at":426},993,"四川农科院自主选育玉米新品种‘成单372’首创推广遭遇梅雨高温干旱『三道坎』 测产仍比对照每亩多产225.28公斤","https:\u002F\u002Fnews.10jqka.com.cn\u002Ffield\u002F20260826\u002F679319660.shtml","8月24日，遂宁市安居区石洞镇玉米种植大户李永杰忙完春玉米盘点——其中120亩地的平均亩产量比其他380亩地高了50—75公斤。这120亩地种植的玉米品种是『成单372』，由四川省农业科学院自主选育，是粮饲通用型高产新品种，去年创造了我国西南区域玉米亩产1419.48公斤的高产纪录。8月8日专家组严格按照《全国粮食高产创建测产验收办法(试行)》，采用玉米联合收割机进行全田籽粒机收测产。测产田块的玉米种植密度达到4500株\u002F亩，远高于当地平均水平。李永杰表示，连续经历花期阴雨、灌浆高温、后期干旱『三道坎』还能有这样的产量，明年可以放心大规模种植。","[![Image 1](https:\u002F\u002Fcountry.scol.com.cn\u002Fpaperdata\u002Fscncrb\u002F20260827\u002F2ab7bd2d2de3c2ece156e5eb6c4dc6f9.jpg)](https:\u002F\u002Fcountry.scol.com.cn\u002Fpaperdata\u002Fscncrb\u002F20260827\u002F2ab7bd2d2de3c2ece156e5eb6c4dc6f9.jpg) 高密种植的玉米新品种“成单372”。\n\n[![Image 2](https:\u002F\u002Fcountry.scol.com.cn\u002Fpaperdata\u002Fscncrb\u002F20260827\u002Fab8d6acb8dcc62ffb9a6f6952838bcf3.jpg)](https:\u002F\u002Fcountry.scol.com.cn\u002Fpaperdata\u002Fscncrb\u002F20260827\u002Fab8d6acb8dcc62ffb9a6f6952838bcf3.jpg) 玉米新品种“成单372”测产现场。\n\n□四川农村日报全媒体记者 徐灿红\n\n 8月24日，遂宁市安居区石洞镇玉米种植大户李永杰正忙着盘账。他的500亩春玉米已收完，翻看称重记录，一个数字让他兴奋不已——其中120亩地的平均亩产量比其他380亩地高了50—75公斤。\n\n 这120亩地种植的玉米品种是“成单372”。该品种由四川省农业科学院自主选育，是粮饲通用型高产新品种，去年创造了我国西南区域玉米亩产1419.48公斤的高产纪录。\n\n 今年，该品种通过国审后第一次进行规模化种植，实际产量如何？种植大户如何评价？记者进行了采访。推广首年 遇到“三道坎”\n\n 8月8日，四川省科学技术厅组织的专家组对李永杰种植的“成单372”进行测产验收。\n\n 专家组严格按照《全国粮食高产创建测产验收办法（试行）》，采用玉米联合收割机进行全田籽粒机收测产。结果显示：“成单372”（亩植密度4500株）机收平均亩产750.11公斤，较相邻地块种植的当地主栽品种（亩植密度3200株）524.83公斤的平均亩产量多了225.28公斤。\n\n 这一产量的取得殊为不易。李永杰说，今年5月中旬到6月下旬，正逢玉米拔节期至扬花期，当地经历了长时间的梅雨天气。7月5日至28日，持续36℃—42℃的高温天气让玉米灌浆遭受最大考验。面对旱情，他曾考虑从远处的水库调水，但因设施不全，只能放弃。\n\n “一个新品种，连续经历花期阴雨、灌浆高温、后期干旱‘三道坎’，还能有这样的产量，明年可以放心地大规模种植！”李永杰说。\n高密高产被写进基因里\n\n 一个数据值得关注：测产田块的玉米种植密度达到4500株\u002F亩，远高于当地平均水平。种植密度的变化中，藏着新品种高产的密码。\n\n 西南丘陵山区，日照少、湿度大、病害多。几十年来，大部分种植户更相信种得稀 一点，棒子大一点，产量才有保障。\n\n 这种需求从种植端传导到种子企业，导致多年来西南地区缺乏耐密品种。四川省农业科学院作物研究所玉米中心副主任杨麟介绍，在四川，传统的稀植大穗玉米品种种植密度为每亩 2600 株左右，超过 3200株就容易出现倒伏和病害等抗逆问题。\n\n “世界各地玉米育种的方向，都是往适度高密发展。”四川丰大种业有限公司董事长章存均在近日举办的第十四届亚洲玉米大会上接受采访时说，气候变化带来的不确定性，恰恰对品种的抗逆性提出了更高要求。而高密种植，正是用“群体优势”来保障产量提升。\n\n院企协同锚定“战略大单品”\n\n “成单372”是四川院企协同的成果转化样板。\n\n 2025年3月，“成单372”作为四川重大科技成果完成成果转化签约，从科研育种阶段正式进入产业化开发与应用阶段。\n\n 章存均看中的，是这个玉米新品种成为战略大单品的潜力。“战略大单品对于种子企业而言，相当于球队有一名著名球星一样，是必须要打造的。”他定义的战略大单品有两个基本特征：一是广适性强，二是播种面积要200万亩起步。\n\n “成单372”正在朝这个方向走。它已通过国家西南区中低海拔及中高海拔组审定、四川省青贮玉米审定，其示范种植点位将遍布全国。\n\n 在第十四届亚洲玉米大会上，多位国外育种专家被展位上展示的“成单372”果穗吸引，不断追问品种特性和配套栽培技术。\n\n “推动科技创新，应对气候变化”是本届大会的主题。今年，四川春玉米刚刚经历了一个花期阴雨寡照、灌浆期持续极端高温的生长季。如何应对极端气候是世界各地玉米种植者共同面对的课题和需要攻克的育种难题。而这个“四川造”玉米新品种，给出了一个可供参考的答案。\n\n 受访者供图","四川农村日报 2026-08-27 · 2026-08-26","2026-08-27T00:00:00Z",{"impact":276,"substance":108,"depth":384,"authority":13,"freshness":13,"relevant":21,"comment":385},16,"报道四川农科院玉米新品种推广首年遭遇极端天气仍增产，含具体测产数据，体现农业科技抗逆性，具行业参考价值。",[387],{"name":381,"url":378},[389,390,391,392,393,394,395,396],"四川省农科院","测产","玉米新品种","成单372","高密种植","4500株","粮饲通用","750.11公斤",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[399],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":401},{"candidates":402,"agricultural_evidence":50},[403,407,412,418],{"code":32,"score":227,"supported":50,"title":404,"abstract":405,"tags":406},[27],[27],[391],{"code":38,"score":408,"supported":50,"title":409,"abstract":410,"tags":411},11,[59],[59],[],{"code":413,"score":152,"supported":50,"title":414,"abstract":415,"tags":417},"F5",[],[416],"收割机",[],{"code":133,"score":21,"supported":14,"title":419,"abstract":420,"tags":421},[],[],[390],[423,424],"四川省农科院 玉米新品种 粮饲通用 高密种植","四川省农科院 玉米新品种","四川省农科院玉米新品种粮饲通用高密种植-993","2026-08-27T00:05:19.082258Z",{"id":428,"title":429,"url":430,"summary":431,"summary_zh":9,"content":432,"source_name":433,"source_url":9,"published_at":434,"category":273,"cover_url":9,"hotness":13,"is_selected":14,"score":435,"score_detail":436,"sources":439,"tags":441,"primary_topic":445,"secondary_topics":446,"classification":448,"search_phrases":477,"slug":480,"view_count":166,"doi":9,"paper":9,"created_at":481},775,"[四川省农科院]推动科技创新 应对气候变化——第十四届亚洲玉米大会田间考察走进简阳:400余个玉米品种同台打擂","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F08\u002F20\u002F991026446.html","8月16日下午,参加第十四届亚洲玉米大会的专家走进四川省农业科学院简阳玉米综合试验站,实地观摩玉米种质资源与新品种、抗逆高产技术示范、丘陵适用农机装备、玉米烘干加工中心。简阳禾丰镇西南品种与资源展示区400余个玉米品种同台打擂;平武镇夏播玉米抗逆高产技术展示区聚焦「伏旱绝收」难题;青龙镇联合村多元复合种植展示区玉米+花生、玉米+紫苏、玉米+大豆等带状复合模式,气候应对思路从「单作物抗逆」延伸至「系统抗风险」。四川2025年玉米面积2810.1万亩,单产402.5公斤\u002F亩,产量1131.1万吨。","平武镇的夏播玉米抗逆高产技术展示区，聚焦的是丘区最头疼的“伏旱绝收”难题。四川省农科院作物所刘永红团队研发的“夏玉米抗逆免耕机械化高产高效技术模式”，通过免耕贴茬早播让玉米扬花期错开伏旱高峰，搭配移动式水肥药一体机实现精准补水补肥，破解了丘区地块分散、灌溉设施不足的痛点。“去年伏旱一周，我种的五六百亩夏玉米几乎绝收；今年用了这套技术，一亩多花一百多块水肥成本，能多收六七百斤玉米，这笔账算得过来。”来自四川遂宁的种粮大户文斌的亲身经历，是技术落地最实在的注脚。\n\n产后环节同样是气候应对的重要一环。平武镇尤安村的烘干中心，正是针对丘区雨天晒粮难、霉变损耗大的痛点建设的。该中心日烘干峰值达600吨，年干燥粮食2万吨，可将玉米产后损耗降低8%，干燥品质提升10%；配套的初加工车间还能生产玉米粉、玉米糁等产品，把减灾与增值结合起来。\n\n而在青龙镇联合村的多元复合种植展示区，气候应对的思路从“单作物抗逆”延伸到“系统抗风险”。玉米+花生、玉米+紫苏、玉米+大豆等多种带状复合模式，在保障玉米产量基本稳定的前提下，通过经济作物提升亩均收益。“今年干旱，常规玉米亩产大概500公斤，比预期少了点；但套种的花生、紫苏能多收两三千块钱，整体收益还是托得住。”联合村党总支书记彭永的话，道出了丘区农户最朴素的需求：主粮稳底子，经作赚票子，多元结构才能扛住年景波动。\n\n四川省农科院经济作物研究所党委书记张小军表示，外宾在现场最关注的就是“亩收益”和“如何兼顾粮食安全与农民增收”。苏特克・纳卡萨廷副教授现场观摩后坦言，泰国也在探索通过间套作提升土地综合产出、对冲气候风险，四川在玉米带状复合种植上的品种搭配、农机适配经验，对泰国丘陵产区有很强的参考性，希望未来能在品种试验、丘区农机、再生农业技术等方面与四川开展深度合作，把中国的成熟经验落地到泰国生产一线。\n\n技术能落地，离不开长效的院地合作机制。简阳市与四川省农科院的合作已持续30年，从最初破解干旱制约，到推动种养循环，再到攻坚全程机械化，一步步把“低产田”种成“高产田”。简阳市副市长袁小强介绍，目前简阳玉米耕种收综合机械化率达73%，全市发展制种玉米2600多亩，收购价达13元\u002F公斤，村集体与农户实现双增收。“丘区搞农业不能靠天吃饭，要靠科技托底。”\n\n大会期间，共建“国际玉米小麦南方研究中心”成为各方共识。据了解，该中心由四川省农科院牵头建设，是CIMMYT南方试验站的迭代升级，预计年内完成顶层设计，2027年全面启动。未来它将以四川为枢纽，聚焦丘陵山地玉米技术、气候韧性育种、种质资源共享等方向，打造面向整个亚洲的南方玉米科创平台。\n\n从品种选育到栽培集成，从农机适配到产后减损，从单产提升到多元增收，中国尤其是四川的丘区实践，为亚洲60%分布在丘陵山区的玉米种植区提供了可借鉴的路径。刘永红表示：“应对气候变化没有一蹴而就的捷径，一茬接着一茬干，一代接着一代研，才能把气候的‘不确定性’，变成粮食安全的‘确定性’。”","中国农网\u002F农民日报 2026-08-20","2026-08-20T00:00:00Z",82,{"impact":108,"substance":108,"depth":277,"authority":227,"freshness":437,"relevant":21,"comment":438},9,"报道亚洲玉米大会田间考察，展示四川丘区玉米抗逆高产、产后减损及多元复合种植等应对气候变化的集成技术，含具体数据与多方信源，具国际视野，对农业科技推广有较高参考价值。",[440],{"name":433,"url":430},[389,442,443,444,212],"玉米抗逆","亚洲玉米大会","简阳",{"code":32,"slug":33,"name":27,"path":34,"parent_code":35},[447],{"code":38,"slug":39,"name":40,"path":41,"parent_code":42},{"status":44,"locked":14,"version":45,"method":46,"evidence":449},{"candidates":450,"agricultural_evidence":50},[451,455,459,466,472],{"code":32,"score":227,"supported":50,"title":452,"abstract":453,"tags":454},[27],[27],[212],{"code":38,"score":17,"supported":50,"title":456,"abstract":457,"tags":458},[113],[],[],{"code":460,"score":20,"supported":50,"title":461,"abstract":462,"tags":465},"A4",[],[463,464],"大豆","花生",[],{"code":467,"score":152,"supported":50,"title":468,"abstract":469,"tags":471},"F1",[],[470],"种质资源",[],{"code":413,"score":152,"supported":50,"title":473,"abstract":474,"tags":476},[],[475],"农机",[],[478,479],"亚洲玉米大会 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