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While the biochemical pathways governing the synthesis and degradation of major pigment classes—including chlorophylls, carotenoids, and anthocyanins—are well established, existing models largely interpret color expression as a localized biochemical phenomenon. Such approaches do not explicitly account for whole-plant energy balance, transpiration-driven losses, or thermodynamic constraints, limiting their ability to explain widely observed patterns of color saturation, stress-induced fading, and species-specific stability across environmental gradients. Here we develop a unified framework for plant color generation and stability that treats pigmentation as a survival-limited energetic process embedded within the broader dynamics of absorption, transport, metabolism, and entropy production. Central to the framework is a dimensionless energy survival factor, Ψ=AE\u002FTE+ε where AE represents absorbed and retained energetic and elemental resources relevant to pigment formation, TE denotes transpiration-linked, metabolic, and environmental dissipation losses, and ε captures irreducible entropy-producing degradation inherent to non-equilibrium biological systems. By construction, 0\u003CΨ\u003C1, ensuring full compliance with the second law of thermodynamics. When combined with pigment-specific optical absorption coefficients and physiological limitation functions, the framework yields a physically interpretable description of both pigment concentration and color stability. Empirical ranges for absorbed photosynthetically active radiation (≈45–70%), excitation survival (≈85–95%), and respiratory and transpiration losses (≈30–60% of assimilated resources) naturally constrain Ψ, predicting observed limits on sustained pigment accumulation without invoking biochemical inefficiency or ad hoc correction factors. The analysis demonstrates that increased light availability or enhanced biosynthetic capacity alone does not intensify coloration unless absorbed resources survive transport and loss processes. Stress-induced chlorosis, transient anthocyanin accumulation, and saturation of greenness under high irradiance emerge as direct consequences of reduced energy survival rather than impaired pigment synthesis. By explicitly separating survival from synthesis, the framework reconciles molecular-scale pigment biochemistry with whole-plant and ecosystem-scale color dynamics. This survival-based formulation provides a unified physical basis for interpreting plant color variation across species and environments and offers a scalable foundation for crop stress diagnostics, remote-sensing interpretation, and comparative plant phenotyping. More broadly, it extends survival-limited energy principles to visible plant traits, advancing plant science beyond isolated biochemical descriptions toward a systems-level understanding of how energy governs phenotypic expression.","植物色泽通过叶片绿色度、花色苷着色和果实颜色强度体现，反映了色素生物合成、光学吸收、代谢调控以及与环境的能量-物质交换的综合结果。尽管主要色素类别——包括叶绿素、类胡萝卜素和花青素——的合成与降解生化途径已较为明确，但现有模型大多将颜色表达解释为局部生化现象。此类方法未明确考虑整株植物能量平衡、蒸腾驱动的损耗或热力学约束，限制了其解释广泛观察到的颜色饱和度、胁迫诱导褪色以及跨环境梯度的物种特异性稳定性等模式的能力。本文构建了一个统一的植物颜色生成与稳定性框架，将色素沉着视为一种受生存限制的能量过程，并将其嵌入吸收、运输、代谢和熵产生的更广泛动力学之中。该框架的核心是一个无量纲能量生存因子Ψ=AE\u002FTE+ε，其中AE代表与色素形成相关的被吸收并保留的能量和元素资源，TE表示与蒸腾相关的、代谢的和环境的耗散损失，ε则捕捉非平衡生物系统固有的不可约熵产生降解。根据构建方式，0\u003CΨ\u003C1，确保完全符合热力学第二定律。当与色素特异性光学吸收系数和生理限制函数相结合时，该框架可对色素浓度和颜色稳定性给出具有物理可解释性的描述。吸收性光合有效辐射（约45–70%）、激发能存活率（约85–95%）以及呼吸和蒸腾损失（约占同化资源的30–60%）的经验范围自然约束了Ψ，从而预测出所观察到的持续色素积累限度，而无需引入生化低效性或特设校正因子。分析表明，仅增加光照可用性或增强生物合成能力并不会加深颜色，除非被吸收的资源能够在运输和损失过程中存活下来。胁迫诱导的黄化、瞬时花青素积累以及高辐照下绿色度饱和，均表现为能量生存率降低而非色素合成受损的直接后果。通过明确分离生存","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z","论文",false,79,{"impact":361,"substance":321,"depth":361,"authority":416,"freshness":584,"relevant":455,"comment":585},9,"提出以能量生存因子统一解释植物颜色与胁迫的物理框架，方法新颖且对遥感解译和作物诊断有潜在价值，但属预印本理论模型，尚缺田间验证。",[587],{"name":578,"url":575},[589,590,591,592,593],"智慧农业","遥感监测","植物表型","作物胁迫诊断","能量平衡",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":599},"classified","rules",{"candidates":600,"agricultural_evidence":603},[601,608,612],{"code":279,"score":602,"supported":603,"title":604,"abstract":605,"tags":607},3,true,[],[606],"萝卜",[],{"code":16,"score":455,"supported":581,"title":609,"abstract":610,"tags":611},[],[],[589],{"code":32,"score":455,"supported":581,"title":613,"abstract":614,"tags":615},[],[],[590],[617,618],"植物颜色 能量生存因子","作物胁迫 遥感诊断","植物颜色能量生存因子-5565","10.5281\u002Fzenodo.23540961",{"doi":620,"openalex_id":622,"authors":623,"venue":578,"cited_by_count":424,"oa_url":575,"card":627,"direction":631,"ingested_from":633},"W7223098474",[624],{"name":625,"orcid":626},"Mokhdum Azam Mashrafi","https:\u002F\u002Forcid.org\u002F0009-0002-1801-1130",{"tldr":628,"method":629,"finding":630,"direction":631,"opportunity":632},"提出基于生存的能量框架，用能量存活因子解释植物颜色生成与稳定性。","构建无量纲能量存活因子Ψ=AE\u002F(TE+ε)，结合色素吸收系数与生理限制函数。","颜色深浅取决于吸收资源经运输损耗后的存活率，而非单纯合成能力。","农业遥感与作物表型","可将Ψ因子与冠层光谱\u002F表型遥感结合，发展胁迫早期诊断与生产力预测模型。","openalex","2026-10-22T11:20:31.195819Z",{"id":636,"title":637,"url":638,"summary":639,"summary_zh":11,"content":11,"source_name":640,"source_url":11,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":641,"score_detail":642,"sources":648,"tags":650,"primary_topic":655,"secondary_topics":656,"classification":658,"search_phrases":675,"slug":678,"view_count":424,"doi":11,"paper":679,"created_at":688},5536,"日光温室番茄全生育期环境特征解析与智能调控决策支持方法","https:\u002F\u002Fpaper.sciencenet.cn\u002Fhtmlpaper\u002F2026\u002F10\u002F20261021145441802156759.shtm","研究解析日光温室番茄全生育期环境特征，发现该类温室气候缓冲能力较强、有效积温与番茄生理需求呈双峰匹配，但相对增益指标揭示单位时间热量供给失衡、深冬热量不足以及光能结构性不足、湿度调控昼夜失衡等问题。作者建议构建温度—光照—湿度耦合的智能闭环控制系统。","Agriculture 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农科‘芯’势力”为主题的“金科育绿”上海农业科技成果路演——上海市农业科学院成果专场活动在南上海科创中心举行。活动旨在贯彻落实《关于加快推进本市农业科技创新的实施意见》《关于加快培育我市涉农科技企业的实施方案》等文件精神，持续强化企业创新主体地位，推动成果供给端与产业需求端精准对接，加快培育农业新质生产力。来自市农业农村委、市农科院、区农业农村委、涉农高校科研院所、农业科技企业、金融机构等约180名代表参加。\n\n  “科技成果只有走出实验室、走向市场，才能真正转化为现实生产力。”上海市农业科学院党委委员、副院长沈晓晖表示，上海农业体量虽小，但农业科技进步贡献率已超过80%。\n\n  本次活动重点聚焦特色种源、农业生物制造和现代设施农业三个新赛道。在成果路演环节，10项科研成果集中亮相，覆盖粮油良种、特色果蔬、食药用菌、智慧农业装备等多个领域，集中展现了市农科院的创新成果。\n\n  在需求路演环节，康码（上海）生物科技有限公司、上海泰缘生物科技股份有限公司、上海青禾上谷智能科技有限公司、上海农本安科技有限公司等4家企业现场发布蛋白营养液及无细胞蛋白产业化、农业废弃物生物新材料产业化、AI智能农业设施及数据驱动育种、智能立体有机植物工厂建设等金融和技术需求。活动还集中发布了5家企业需求，推动产业需求与科研供给、金融资本精准对接。\n\n  签约仪式上，8个合作项目现场签约，涵盖品种权转让、技术独占许可、普通实施许可、技术开发等多种模式，合作辐射上海、安徽、山西、山东、湖北等多地。签约项目包括水稻品种“申优331”十五年独占许可（全国）、“拮抗稻瘟病菌和产γ-聚谷氨酸的贝莱斯芽孢杆菌及其应用”专利三年普通实施许可（上海地区）、金针菇新品种“上研1820”品种权转让、香菇新品种“申香1726”两年普通使用许可（山西省）、“一种复合多种营养物质饲用添加剂生物制造技术体系”转让、甜瓜品种“珍珠蜜1号”转让、黑木耳系列产品加工工艺与配方开发、远缘杂交创制口感型花苔类新蔬菜种源技术等，签约金额合计705万元及提成。活动还通过视频展示了上海农业科技企业金融服务成效。","上海市农业农村委员会 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2026-10-20",84,{"impact":321,"substance":804,"depth":361,"authority":416,"freshness":584,"relevant":455,"comment":805},23,"国内首款华南型黄瓜专用育种芯片发布，含位点规模、检出率等实质数据与多方信源，产业价值明确，值得进入每日精选。",[807],{"name":801,"url":798},[758,809,810,811,812],"生物育种","黄瓜","育种芯片","分子标记",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":816},{"candidates":817,"agricultural_evidence":603},[818,822,829],{"code":279,"score":416,"supported":603,"title":819,"abstract":820,"tags":821},[810],[810],[810],{"code":80,"score":823,"supported":603,"title":824,"abstract":825,"tags":828},7,[],[826,827],"种业","种质资源",[758],{"code":88,"score":69,"supported":581,"title":830,"abstract":831,"tags":832},[],[],[809,811],[834,835],"青岛农科院 华南型黄瓜 育种芯片","鲁黄瓜3号 育种芯片","青岛农科院华南型黄瓜育种芯片-5411","2026-10-21T00:09:54.078438Z",{"id":839,"title":840,"url":841,"summary":842,"summary_zh":843,"content":11,"source_name":844,"source_url":841,"published_at":845,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":846,"score_detail":847,"sources":849,"tags":851,"primary_topic":855,"secondary_topics":856,"classification":858,"search_phrases":877,"slug":880,"view_count":424,"doi":881,"paper":882,"created_at":896},5387,"LIGHTWEIGHT FEATURE FUSED ATTENTION DRIVEN MULTI LEVEL HYBRID MOBILENET V2 FRAMEWORK FOR EARLY TOMATO LEAF DISEASE DETECTION","https:\u002F\u002Fdoi.org\u002F10.62441\u002Factainnovations.vi.1918","It is crucial to find and treat tomato crop diseases early and accurately to improve crop efficiency and make sure there is no scarcity of crop. However, computerized analysis is provocative due to lighting differences, compound backgrounds, and graphic likenesses among infection regions. Research work proposed a lightweight Attention Driven Multi Level Hybrid MobileNet-V2 algorithm that fuses the handcrafted texture structures with Deep Learning (DL) features, then image preprocessing is incorporated using Gaussian, Bilateral, and Guided filters to minimize noise by preserving the disease lesions. LAB color model along with Contrast Limited Adaptive Histogram Equalization (CLAHE) are used to improve the contrast. Otsu thresholding is involved to effectively separate the leaf segment from diseased parts. Local Binary Pattern (LBP) and Gray Level Co-occurrence Matrix (GLCM) descriptors are used to obtain fine-grained features, while high level features are gained by pretrained MobileNet-V2 model. Features fusion is fed to the fully connected layers of deep learning model for training and validation purpose. Results have revealed that the suggested model attains better classification performance as compared to existing models, making it an effective explanation for real time tomato leaf disease detection for smart agriculture applications.","早期准确发现并治疗番茄作物病害，对于提高作物效率、确保作物不短缺至关重要。然而，由于光照差异、复杂背景以及感染区域之间的图形相似性，计算机化分析具有挑战性。研究提出了一种轻量级注意力驱动多层混合MobileNet-V2算法，该算法将手工纹理结构与深度学习（DL）特征相融合，然后结合高斯、双边和引导滤波器进行图像预处理，以在保留病害病变的同时最小化噪声。采用LAB颜色模型和对比度受限自适应直方图均衡化（CLAHE）来提高对比度。引入Otsu阈值分割以有效分离叶片片段与病害部分。使用局部二值模式（LBP）和灰度共生矩阵（GLCM）描述符获取细粒度特征，同时通过预训练的MobileNet-V2模型获取高层特征。特征融合后输入深度学习模型的全连接层进行训练和验证。结果表明，与现有模型相比，所提出的模型取得了更好的分类性能，使其成为智慧农业应用中实时番茄叶片病害检测的有效解决方案。","Acta Innovations","2026-10-18T00:00:00Z",64,{"impact":416,"substance":361,"depth":643,"authority":385,"freshness":173,"relevant":455,"comment":848},"提出融合手工纹理特征与MobileNet-V2的轻量番茄叶病检测方法，有一定方法新颖性，但属单篇论文、应用范围有限，未达每日精选门槛。",[850],{"name":844,"url":841},[589,702,852,853,854],"深度学习","番茄病害","图像识别",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[857],{"code":24,"slug":25,"name":26,"path":27,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":859},{"candidates":860,"agricultural_evidence":603},[861,867,872],{"code":279,"score":862,"supported":603,"title":863,"abstract":865,"tags":866},15,[864],"tomato",[668,864],[853],{"code":24,"score":584,"supported":603,"title":868,"abstract":869,"tags":871},[],[852,870],"deep learning",[702,854,852],{"code":16,"score":823,"supported":603,"title":873,"abstract":874,"tags":876},[],[589,875],"smart agriculture",[589],[878,879],"MobileNet-V2 番茄叶片病害","番茄叶病 深度学习 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万公斤","http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3.shtml","沪翠甜甜瓜由喀什昆仑盛源农业科技有限公司联合上海市农业科学院研发培育,十分适配喀什种植环境。今年荒地乡共种植该品种甜瓜 170 余亩,总产量 35 万公斤,单棚产量可达 6 吨。采用订单化种植、冷链直发的模式,产品不仅供应喀什、阿克苏、图木舒克等疆内市场,还远销北京、上海、广州等城市。","金秋丰收季，瓜果满枝头\n\n喀什市荒地乡新品种“沪翠甜”甜瓜\n\n迎来集中上市期\n\n大棚内果香四溢、硕果盈枝\n\n![Image 1](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F1-20261014120918567.jpeg)\n\n“沪翠甜”甜瓜。荒地乡公共文化服务中心 供图\n\n走进荒地乡果蔬种植大棚，圆润饱满、色泽鲜亮的“沪翠甜”甜瓜挂满藤蔓，长势喜人。农户们忙着采摘、分拣、装车，田间地头处处是丰收忙碌的景象。依托喀什日照充足、昼夜温差大的自然条件，“沪翠甜”甜瓜果肉脆甜、汁水丰盈，兼具耐储存、易运输的优势，市场竞争力突出。\n\n![Image 2](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F2-20261014120935708.jpeg)\n\n汁水充盈、脆甜可口的“沪翠甜”甜瓜。荒地乡公共文化服务中心 供图\n\n据了解，“沪翠甜”甜瓜由喀什昆仑盛源农业科技有限公司联合上海市农业科学院研发培育，十分适配喀什种植环境。今年荒地乡共种植该品种甜瓜170余亩，总产量35万公斤。当前全乡甜瓜进入集中采收期，单棚产量可达6吨。采用订单化种植、冷链直发的模式，产品不仅供应喀什疆南农批、阿克苏、图木舒克等疆内市场，还远销北京、上海、广州等城市。\n\n![Image 3](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F3-20261014120951250.jpeg)\n\n打包好的“沪翠甜”甜瓜装车。荒地乡公共文化服务中心 供图\n\n喀什昆仑盛源农业科技有限公司经理王军委说：“我们采用‘企业+农户’合作模式，统一为农户提供优质瓜苗，分阶段做好田间管理技术指导，依靠科学标准化管护，守好甜瓜品质关口。同时加紧布局线上渠道，线上线下同步发力，持续拓宽产品销路，打响品种品牌。”\n\n为不断提升瓜果品质，筑牢产业发展基础，荒地乡组织农技人员对整枝疏果、水肥管控、病虫害防治等环节开展现场指导，全面提升甜瓜标准化种植水平。\n\n![Image 4](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F4-20261014121007167.jpeg)\n\n“沪翠甜”甜瓜。荒地乡公共文化服务中心 供图\n\n“我们将持续强化农业技术保障，常态化开展种植技术培训，大力推广标准化种植模式，在提升甜瓜品质的前提下，有序扩大种植规模，把特色瓜果富民产业做实做强，实实在在带动群众稳定增收。”喀什市荒地乡农业发展中心干部周伟豪说。\n\n如今，喀什市荒地乡已形成良种培育、科学种植、技术帮扶、企业带动的完整特色甜瓜产业链。荒地乡将立足本土资源优势，优化农技服务，做强特色瓜果富民产业，以产业兴旺助推群众增收、助力乡村振兴。（喀什市融媒体中心记者：马福志）","喀什市人民政府 2026-10",{"impact":173,"substance":416,"depth":173,"authority":768,"freshness":768,"relevant":455,"comment":905},"地方丰收通稿，有院地合作育种与订单冷链等实质信息，但影响限于地市层面，公共价值有限。",[907],{"name":903,"url":900},[909,910,911,771],"乡村振兴","特色产业","院地合作",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":915},{"candidates":916,"agricultural_evidence":603},[917,921,926,930,934],{"code":279,"score":416,"supported":603,"title":918,"abstract":919,"tags":920},[771],[771],[771],{"code":458,"score":602,"supported":603,"title":922,"abstract":923,"tags":925},[],[924],"冷链",[],{"code":480,"score":455,"supported":581,"title":927,"abstract":928,"tags":929},[],[],[909],{"code":488,"score":455,"supported":581,"title":931,"abstract":932,"tags":933},[],[],[911],{"code":511,"score":455,"supported":581,"title":935,"abstract":936,"tags":937},[],[],[910],[939,940],"沪翠甜 甜瓜 喀什","上海农科院 喀什 甜瓜","沪翠甜甜瓜喀什-5346","2026-10-20T02:47:44.085479Z",{"id":944,"title":945,"url":946,"summary":947,"summary_zh":11,"content":948,"source_name":949,"source_url":11,"published_at":950,"category":750,"cover_url":11,"hotness":385,"is_selected":603,"score":253,"score_detail":951,"sources":954,"tags":956,"primary_topic":961,"secondary_topics":962,"classification":964,"search_phrases":986,"slug":989,"view_count":455,"doi":11,"paper":11,"created_at":990},5340,"中国农科院蔬菜花卉所破解白菜甘蓝蔬菜驯化秘密 揭示亚基因组关系 Nature Genetics","http:\u002F\u002Fwww.fxbwd.com\u002F18511.html","中国农业科学院蔬菜花卉研究所王晓武科研团队对白菜和甘蓝两类芸薹属作物的驯化进行了深入研究,揭示了驯化与古多倍化形成的亚基因组的关系,相关研究结果于 8 月 15 日在线发表于 Nature Genetics 上。研究完成了白菜和甘蓝类蔬菜作物代表材料的基因组重测序,构建了白菜和甘蓝类蔬菜的群体基因组变异图谱,分别确定了一大批白菜和甘蓝叶球形成与膨大根(茎)驯化选择的基因组信号与相关基因,为加快白菜类与甘蓝类蔬菜分子育种奠定了重要基础。","![Image 1](https:\u002F\u002Fwww.fxbwd.com\u002Fstatic\u002Ffx\u002Fimages\u002Ffanhui.png)\n\n![Image 2](https:\u002F\u002Fwww.fxbwd.com\u002Fstatic\u002Ffx\u002Fimages\u002Flogosmall.png)\n\n![Image 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[草莓](http:\u002F\u002Fwww.fxbwd.com\u002Fcaomei\u002F \"草莓\")\n*   [梨子](http:\u002F\u002Fwww.fxbwd.com\u002Flizi\u002F \"梨子\")\n*   [农业科技](http:\u002F\u002Fwww.fxbwd.com\u002Fnongyekeji\u002F \"农业科技\")\n*   [樱桃](http:\u002F\u002Fwww.fxbwd.com\u002Fyingtao\u002F \"樱桃\")\n*   [百香果](http:\u002F\u002Fwww.fxbwd.com\u002Fbaixiangguo\u002F \"百香果\")\n*   [芒果](http:\u002F\u002Fwww.fxbwd.com\u002Fmangguo\u002F \"芒果\")\n*   [火龙果](http:\u002F\u002Fwww.fxbwd.com\u002Fhuolongguo\u002F \"火龙果\")\n*   [蓝莓](http:\u002F\u002Fwww.fxbwd.com\u002Flanmei\u002F \"蓝莓\")\n*   [人参果](http:\u002F\u002Fwww.fxbwd.com\u002Frencanguo\u002F \"人参果\")\n*   [柚子](http:\u002F\u002Fwww.fxbwd.com\u002Fyouzi\u002F \"柚子\")\n*   [荔枝](http:\u002F\u002Fwww.fxbwd.com\u002Flizhi\u002F \"荔枝\")\n*   [山苏花](http:\u002F\u002Fwww.fxbwd.com\u002Fshansuhua\u002F \"山苏花\")\n*   [香蕉](http:\u002F\u002Fwww.fxbwd.com\u002Fxiangjiao\u002F \"香蕉\")\n*   [绿萝](http:\u002F\u002Fwww.fxbwd.com\u002Flvluo\u002F \"绿萝\")\n*   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\"枇杷\")\n*   [咖啡种植](http:\u002F\u002Fwww.fxbwd.com\u002Fa\u002Fkafeizhongzhi\u002F \"咖啡种植\")\n*   [酿酒](http:\u002F\u002Fwww.fxbwd.com\u002Fniangjiu\u002F \"酿酒\")\n*   [有机茶园](http:\u002F\u002Fwww.fxbwd.com\u002Fa\u002Fyoujichayuan\u002F \"有机茶园\")\n*   [茶叶](http:\u002F\u002Fwww.fxbwd.com\u002Fchaye\u002F \"茶叶\")\n*   [种植技术](http:\u002F\u002Fwww.fxbwd.com\u002Fzhongzhi\u002F \"种植技术\")\n*   [花百科](http:\u002F\u002Fwww.fxbwd.com\u002Fhua\u002F \"花百科\")\n*   [智慧农业](http:\u002F\u002Fwww.fxbwd.com\u002Fzhihuinongye\u002F \"智慧农业\")\n\n![Image 4](http:\u002F\u002Fcss.coffeecdn.com\u002Fad\u002Fmkad.jpg)\n\n[FX农业网](http:\u002F\u002Fwww.fxbwd.com\u002F \" FX农业网\")\n\n*   **[首页](http:\u002F\u002Fwww.fxbwd.com\u002F)**\n*   **[FX农业网](https:\u002F\u002Fwww.fxbwd.com\u002F \" FX农业网“ target=\")**\n\n[FX农业网](https:\u002F\u002Fwww.fxbwd.com\u002F \"FX农业网\")>[综合资讯](https:\u002F\u002Fwww.fxbwd.com\u002Flist-108)>\n\n# 我国科学家破解蔬菜驯化的秘密\n\n来源：农讯网 作者：农讯网编辑  2026-10-20[我要评论](http:\u002F\u002Fwww.fxbwd.com\u002F18511.html#cm)\n\n## 2026年10月20日更新报导，我国科学家破解蔬菜驯化的秘密\n\n FX农业网 10月20日报导。\n\n中国农业科学院蔬菜花卉研究所王晓武科研团队，对白菜和甘蓝两类芸薹属作物的驯化进行了深入研究，揭示了驯化与古多倍化形成的亚基因组的关系，相关研究结果于8月15日在线发表于《自然·遗传》（NatureGenetics）上。\n\n为了解开上述谜题，王晓武研究员团队完成了白菜和甘蓝类蔬菜作物代表材料的基因组重测序，构建了白菜和甘蓝类蔬菜的群体基因组变异图谱。分别确定了一大批白菜和甘蓝叶球形成与膨大根（茎）驯化选择的基因组信号与相关的基因。研究获得了白菜和甘蓝类蔬菜作物全基因组的大量变异，确定了一批与白菜类和甘蓝类蔬菜叶球形成和根（茎）膨大有关的重要基因，为加快白菜类与甘蓝类蔬菜分子育种奠定了重要基础。(据《人民日报》)\n\n本站推荐: 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Genetics发表的白菜甘蓝驯化与亚基因组关系研究，属种业基础研究重大突破，专业性与权威性俱佳，值得进入每日精选。",[955],{"name":949,"url":946},[827,957,958,959,960],"蔬菜种业","农业科技","基因组学","白菜甘蓝",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[963],{"code":302,"slug":303,"name":304,"path":305,"parent_code":271},{"status":597,"locked":581,"version":4,"method":598,"evidence":965},{"candidates":966,"agricultural_evidence":603},[967,972,977,982],{"code":279,"score":321,"supported":603,"title":968,"abstract":970,"tags":971},[281,969],"甘蓝",[281,969],[],{"code":302,"score":524,"supported":603,"title":973,"abstract":975,"tags":976},[974],"花卉",[974],[],{"code":88,"score":400,"supported":603,"title":978,"abstract":979,"tags":981},[],[980],"分子育种",[959],{"code":80,"score":455,"supported":581,"title":983,"abstract":984,"tags":985},[],[],[827],[987,988],"中国农科院蔬菜花卉所 白菜甘蓝 基因组","Nature Genetics 蔬菜驯化 亚基因组","中国农科院蔬菜花卉所白菜甘蓝基因组-5340","2026-10-20T02:47:43.668868Z",{"id":992,"title":993,"url":994,"summary":995,"summary_zh":996,"content":11,"source_name":997,"source_url":994,"published_at":695,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":329,"score_detail":998,"sources":1000,"tags":1002,"primary_topic":1006,"secondary_topics":1007,"classification":1010,"search_phrases":1050,"slug":1053,"view_count":424,"doi":11,"paper":1054,"created_at":1072},5313,"Real-Time IoT-Integrated Ensemble LSTM–Bi-LSTM Framework for Greenhouse Microclimate Forecasting","https:\u002F\u002Fwasrpublication.com\u002Findex.php\u002Findex\u002Farticle\u002Fview\u002F512","Accurate prediction of greenhouse microclimates is essential for optimizing crop growth and resource utilization in precision agriculture. The research presents an IoT-integrated ensemble deep learning framework for real-time greenhouse microclimate forecasting using Long Short-Term Memory (LSTM) and Bidirectional Long Short-Term Memory (Bi-LSTM) networks. Environmental variables, including temperature, light intensity, soil moisture, and humidity, were acquired through IoT sensor nodes deployed in a controlled greenhouse environment. A benchmark greenhouse dataset was first used for model development and hyperparameter optimization, while an original IoT-based dataset collected during cucumber, tomato, and pepper cultivation at the Federal University Wukari, Nigeria, was used for validation and real-world deployment. The data were preprocessed through noise filtering, missing value imputation, Z-score-based outlier removal, and Min–Max normalization. A weighted ensemble strategy was then applied to combine LSTM and Bi-LSTM predictions for improved robustness. Experimental results show that the Bi-LSTM model outperformed the LSTM model, achieving R² = 0.9981, MAE = 0.0088, RMSE = 0.0110, and MSE = 0.0001, compared to LSTM results of R² = 0.9956, MAE = 0.0133, RMSE = 0.0167, and MSE = 0.0003. Statistical validation using paired t-test, Wilcoxon signed-rank test, confidence intervals, and multi-run analysis confirmed that the performance improvement is statistically significant and robust. The proposed framework enables accurate real-time microclimate forecasting and intelligent environmental monitoring, providing a scalable solution for precision greenhouse management, improved crop productivity, optimized energy utilization, and efficient irrigation scheduling.","准确预测温室微气候对于精准农业中优化作物生长和资源利用至关重要。本研究提出了一种集成物联网的集成深度学习框架，利用长短期记忆网络（LSTM）和双向长短期记忆网络（Bi-LSTM）进行实时温室微气候预测。温度、光照强度、土壤湿度和湿度等环境变量通过部署在受控温室环境中的物联网传感器节点采集。研究首先使用基准温室数据集进行模型开发和超参数优化，随后使用在尼日利亚武卡里联邦大学黄瓜、番茄和辣椒种植期间采集的原始物联网数据集进行验证和实际部署。数据经过噪声滤波、缺失值插补、基于Z分数的异常值去除和最小—最大归一化预处理。然后采用加权集成策略融合LSTM和Bi-LSTM的预测结果以提高鲁棒性。实验结果表明，Bi-LSTM模型优于LSTM模型，其R² = 0.9981、MAE = 0.0088、RMSE = 0.0110、MSE = 0.0001，而LSTM的结果为R² = 0.9956、MAE = 0.0133、RMSE = 0.0167、MSE = 0.0003。采用配对t检验、Wilcoxon符号秩检验、置信区间和多轮运行分析进行的统计验证证实，性能提升具有统计显著性和鲁棒性。所提出的框架能够实现准确的实时微气候预测和智能环境监测，为精准温室管理、提高作物生产力、优化能源利用和高效灌溉调度提供了可扩展的解决方案。","World Journal of Multidisciplinary Studies",{"impact":416,"substance":644,"depth":645,"authority":584,"freshness":173,"relevant":455,"comment":999},"方法扎实、验证充分，但属单点应用研究，公共影响有限，适合作为技术前沿条目而非头条精选。",[1001],{"name":997,"url":994},[589,702,1003,1004,1005],"农业物联网","温室环境","小气候预测",{"code":324,"slug":325,"name":326,"path":327,"parent_code":271},[1008,1009],{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},{"status":597,"locked":581,"version":4,"method":598,"evidence":1011},{"candidates":1012,"agricultural_evidence":603},[1013,1019,1024,1030,1036,1040,1045],{"code":48,"score":862,"supported":603,"title":1014,"abstract":1016,"tags":1018},[1015],"IoT",[1017,1015],"物联网",[1003],{"code":324,"score":345,"supported":603,"title":1020,"abstract":1022,"tags":1023},[1021],"greenhouse",[663,1021],[],{"code":279,"score":584,"supported":603,"title":1025,"abstract":1026,"tags":1029},[],[668,1027,810,864,1028],"辣椒","cucumber",[],{"code":16,"score":823,"supported":603,"title":1031,"abstract":1032,"tags":1035},[],[1033,1034],"精准农业","precision agriculture",[589],{"code":24,"score":823,"supported":603,"title":1037,"abstract":1038,"tags":1039},[],[852,870],[702],{"code":144,"score":768,"supported":603,"title":1041,"abstract":1042,"tags":1044},[],[1043,145],"土壤",[],{"code":152,"score":768,"supported":603,"title":1046,"abstract":1047,"tags":1049},[],[1048,153],"灌溉",[],[1051,1052],"温室 小气候 LSTM 预测","尼日利亚 温室 IoT 黄瓜 番茄","温室小气候LSTM预测-5313",{"doi":11,"openalex_id":1055,"authors":1056,"venue":997,"cited_by_count":424,"oa_url":11,"card":1067,"direction":685,"ingested_from":633},"W7222909837",[1057,1059,1061,1063,1065],{"name":1058,"orcid":11},"Siman Emmanuel*",{"name":1060,"orcid":11},"Edward Onyebueke Agu",{"name":1062,"orcid":11},"Musa Gani",{"name":1064,"orcid":11},"Oladunjoye John Abiodun",{"name":1066,"orcid":11},"Anagu Emmanuel John",{"tldr":1068,"method":1069,"finding":1070,"direction":685,"opportunity":1071},"提出物联网集成LSTM与Bi-LSTM加权集成框架，实时预测温室微气候。","IoT传感器采集温光湿数据，经预处理后用LSTM-Bi-LSTM加权集成建模。","Bi-LSTM优于LSTM，R²达0.9981，统计检验证实性能提升显著稳健。","可探索边缘端轻量化部署与多作物跨温室迁移学习，提升实时预测泛化性。","2026-10-19T23:30:13.295236Z",{"id":1074,"title":1075,"url":1076,"summary":1077,"summary_zh":11,"content":11,"source_name":1078,"source_url":11,"published_at":1079,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1080,"score_detail":1081,"sources":1083,"tags":1085,"primary_topic":1090,"secondary_topics":1091,"classification":1093,"search_phrases":1112,"slug":1115,"view_count":455,"doi":11,"paper":1116,"created_at":1124},5304,"Front. Sustain. Food Syst.:数字农业技术推广与贵州辣椒种植户极端气候适应技术采纳","https:\u002F\u002Fscienmag.com\u002Fdigital-agricultural-extension-linked-to-climate-adaptation-among-chili-farmers-in-mountainous-china","Gao H, Han H (2026) 在Frontiers in Sustainable Food Systems发表论文,以贵州辣椒种植户为研究对象,发现数字农业技术推广(DATP)对极端气候适应技术采纳呈显著正相关,通过更广泛信息渠道、信息信任和应用能力发挥作用,益处与风险预期确认起调节作用;数字信息素养较高种植户DATP效应更强(系数0.326、0.408 vs. 低素养0.084、0.133),规模化种植户效应同样更强。","Frontiers in Sustainable Food Systems(2026,Article 1914305)","2026-10-13T00:00:00Z",74,{"impact":643,"substance":644,"depth":361,"authority":646,"freshness":768,"relevant":455,"comment":1082},"基于贵州辣椒种植户实证数据，揭示数字农业推广对气候适应技术采纳的调节机制，结论具体且具政策参考价值，值得入选。",[1084],{"name":1078,"url":1076},[1086,589,1087,1088,1089],"数字农业","数字素养","气候适应","辣椒种植",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[1092],{"code":184,"slug":185,"name":186,"path":187,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1094},{"candidates":1095,"agricultural_evidence":603},[1096,1100,1104,1108],{"code":16,"score":646,"supported":603,"title":1097,"abstract":1098,"tags":1099},[1086],[1086],[1086,589],{"code":184,"score":416,"supported":603,"title":1101,"abstract":1102,"tags":1103},[1088],[1088],[1088],{"code":279,"score":524,"supported":603,"title":1105,"abstract":1106,"tags":1107},[1027],[1027],[],{"code":56,"score":455,"supported":581,"title":1109,"abstract":1110,"tags":1111},[],[],[1087],[1113,1114],"贵州 辣椒种植户 数字农业技术推广","极端气候适应 技术采纳 数字素养","贵州辣椒种植户数字农业技术推广-5304",{"doi":11,"openalex_id":11,"authors":1117,"venue":11,"cited_by_count":424,"oa_url":11,"card":1118,"direction":1122,"ingested_from":687},[],{"tldr":1119,"method":1120,"finding":1121,"direction":1122,"opportunity":1123},"研究数字农业技术推广对贵州辣椒种植户采纳极端气候适应技术的影响。","基于贵州辣椒种植户调查数据，采用回归分析检验中介与调节效应。","数字农业技术推广显著促进适应技术采纳，信息渠道、信任与应用能力起中介作用，数字素养和规模起调节作用。","数字乡村与农业信息化","可探究数字推广服务对不同作物、不同气候区农户适应行为的差异化机制与长期效果。","2026-10-19T00:07:48.767992Z",{"id":1126,"title":1127,"url":1128,"summary":1129,"summary_zh":11,"content":11,"source_name":1130,"source_url":11,"published_at":950,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":582,"score_detail":1131,"sources":1133,"tags":1135,"primary_topic":1138,"secondary_topics":1139,"classification":1140,"search_phrases":1164,"slug":1167,"view_count":69,"doi":1168,"paper":1169,"created_at":1176},5301,"MambaSeed:基于Mamba的轻量级混合视觉网络用于番茄叶病识别(PLOS ONE)","https:\u002F\u002Fjournals.plos.org\u002Fplosone\u002Farticle?id=10.1371\u002Fjournal.pone.0359350","PLOS ONE于2026-10-15发表论文MambaSeed,由Wang X, Zhang H, Chen Y, Li Y, Qin Y, Lv Z等团队提出基于MambaVisionMixer的轻量级混合视觉网络,配套局部连续分支注入(LCBI)机制;在番茄、玉米、马铃薯数据集上识别准确率分别达98.97%、98.06%和95.87%,模型仅1.13M参数、0.240G MACs,在RTX 4090上延迟3.39ms\u002F图像,为资源受限农田环境提供紧凑、高效、鲁棒的病害识别方案。","PLOS ONE(2026-10-15)",{"impact":361,"substance":321,"depth":361,"authority":646,"freshness":173,"relevant":455,"comment":1132},"方法新颖、指标扎实的轻量级病害识别论文，对资源受限农田场景有实用价值，值得进入每日精选。",[1134],{"name":1130,"url":1128},[589,702,668,1136,1137],"病害识别","轻量级模型",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1141},{"candidates":1142,"agricultural_evidence":603},[1143,1147,1151,1156,1160],{"code":279,"score":416,"supported":603,"title":1144,"abstract":1145,"tags":1146},[668],[668],[668],{"code":224,"score":602,"supported":603,"title":1148,"abstract":1149,"tags":1150},[],[226],[],{"code":240,"score":602,"supported":603,"title":1152,"abstract":1153,"tags":1155},[],[1154],"马铃薯",[],{"code":24,"score":69,"supported":581,"title":1157,"abstract":1158,"tags":1159},[],[],[702,1136],{"code":16,"score":455,"supported":581,"title":1161,"abstract":1162,"tags":1163},[],[],[589],[1165,1166],"MambaSeed 番茄叶病","MambaVisionMixer 病害识别","MambaSeed番茄叶病-5301","10.1371\u002Fjournal.pone.0359350",{"doi":1168,"openalex_id":11,"authors":1170,"venue":11,"cited_by_count":424,"oa_url":11,"card":1171,"direction":739,"ingested_from":687},[],{"tldr":1172,"method":1173,"finding":1174,"direction":739,"opportunity":1175},"提出轻量级混合视觉网络MambaSeed，实现番茄等作物叶病高效识别。","基于MambaVisionMixer与局部连续分支注入机制，在三种作物病害数据集","番茄、玉米、马铃薯识别准确率达98.97%、98.06%、95.87%，仅1.13M参数、3.39m","可探索该轻量模型在移动端与边缘设备的田间部署，及多作物跨域泛化与病害早期识别。","2026-10-19T00:07:48.589614Z",{"id":1178,"title":1179,"url":1180,"summary":1181,"summary_zh":11,"content":1182,"source_name":1183,"source_url":11,"published_at":695,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1184,"score_detail":1185,"sources":1187,"tags":1189,"primary_topic":1195,"secondary_topics":1196,"classification":1198,"search_phrases":1214,"slug":1217,"view_count":424,"doi":11,"paper":11,"created_at":1218},5270,"广东蔬菜所农村科技特派员团队赴广州白云开展优良叶菜示范推广","https:\u002F\u002Fwww.gdaas.cn\u002Ffwsnn\u002Fkjfw\u002Fcontent\u002Fpost_1340659.html","广东省农科院蔬菜所郭巨先研究员、符梅副研究员、黄旺平等组成的农村科技特派员团队赴广州白云区钟落潭镇开展叶菜新品种示范推广,介绍引进品种\"柳盛3号\"\"银丝黄3号\"\"广良2号黑叶\"等叶菜产量优势、抗性表现,并针对持续高温后降雨对叶菜品质的影响给出清沟排水、叶面补肥、病虫害防控等具体技术要点。","近日，蔬菜所郭巨先研究员、符梅副研究员、黄旺平等专家组成农村科技特派员团队，赴广州白云区钟落潭镇开展优良叶菜新品种示范推广工作。\n\n在广东三青农业科技有限公司种植基地，蔬菜所专家分别介绍了引进品种“柳盛3号”、“银丝黄3号”、“广良2号黑叶”等叶菜的产量优势、抗性表现、适应范围及配套栽培要点。针对持续高温后降雨可能对叶菜品质和产量造成的不利影响，专家团队建议：一是及时清沟排水，疏通沟渠、排除积水，防止沤根、烂根；二是加强植株管理，摘除黄老病叶，改善通风透光条件；三是科学补肥促恢复，叶面喷施磷酸二氢钾和芸苔素内酯，促进植株恢复生长；四是重点防控病虫害，涝后高温高湿易暴发霜霉病、软腐病等，应抢晴喷施保护性杀菌剂，并注意防治跳甲、小菜蛾等虫害。\n\n专家团队还深入田间实地查看叶菜长势，与农户面对面交流，现场解答栽培技术难题。此次活动有效提高了农户对高品质蔬菜新品种的认知，提升了栽培技术水平，为当地叶菜产业提质增效提供了有力科技支撑。","广东省农业科学院(2026-10-16)",54,{"impact":385,"substance":345,"depth":524,"authority":416,"freshness":823,"relevant":455,"comment":1186},"省级科研机构特派员下沉地市开展叶菜新品种示范与涝后管理指导，有具体品种和技术要点，但属常规推广动态，影响范围有限。",[1188],{"name":1183,"url":1180},[1190,1191,1192,1193,1194],"病虫害防控","科技特派员","品种推广","栽培技术","叶菜",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[1197],{"code":488,"slug":489,"name":490,"path":491,"parent_code":480},{"status":597,"locked":581,"version":4,"method":598,"evidence":1199},{"candidates":1200,"agricultural_evidence":603},[1201,1206,1210],{"code":488,"score":416,"supported":603,"title":1202,"abstract":1204,"tags":1205},[1203],"科技特派",[1203],[1191],{"code":279,"score":524,"supported":603,"title":1207,"abstract":1208,"tags":1209},[281],[281],[],{"code":80,"score":455,"supported":581,"title":1211,"abstract":1212,"tags":1213},[],[],[1192],[1215,1216],"广东蔬菜所 叶菜 白云区","柳盛3号 银丝黄3号 示范推广","广东蔬菜所叶菜白云区-5270","2026-10-19T00:07:40.556142Z",{"id":1220,"title":1221,"url":1222,"summary":1223,"summary_zh":11,"content":1224,"source_name":1225,"source_url":11,"published_at":1226,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1227,"score_detail":1228,"sources":1230,"tags":1232,"primary_topic":1238,"secondary_topics":1239,"classification":1240,"search_phrases":1275,"slug":1278,"view_count":424,"doi":11,"paper":11,"created_at":1279},5267,"江苏丘陵地区南京农业科学研究所首次向公众开放展现都市现代农业","https:\u002F\u002Fwww.jntimes.cn\u002Fjsdt\u002Fnj\u002F202610\u002Ft20261017_s6ad37ab6e4b0ddaaaf77d456.shtml","10月17日2026年中国农民丰收节·第二十二届南京农业嘉年华在江苏丘陵地区南京农业科学研究所启幕,首次向公众全面开放;活动设都市花卉、向日葵花海、阳台蔬菜、精品草莓、甘薯小园、茶科普长廊六大特色园区,省农科院南粳水稻、苏翠梨、苏密西瓜等\"明星品种\"集体亮相;活动首日已有4家经营主体与科研院所达成合作意向。","本次活动最大的亮点在于“科技赋能”。活动现场精心布局了科技成果展示、优质农产品市集、休闲打卡和美食体验四大功能区，以及都市花卉、向日葵花海、阳台蔬菜、精品草莓、甘薯小院、茶科普长廊六大特色园区，集观赏、科普、体验于一体。\n\n在这里，农业不再是面朝黄土背朝天的传统模样，而是充满科技智慧的现代产业。在都市花卉园，市民可以近距离观赏按色系分区绽放的朱顶红、蝴蝶兰主题花展，了解花卉从育种到永生花艺的全链条过程；在“向日葵花海”，品种资源区与花海打卡区交相辉映，搭配景观装置，随手一拍即田园大片；在“甘薯小院”，市民不仅看到了甘薯最新的网红品种，在科普中读懂一颗甘薯的“前世今生”，还可现场品尝不同品种的现烤红薯，直观感受科技育种带来的口感差异。\n\n在科技成果展示区，省农科院科学家培育的南粳水稻、苏翠梨、苏密西瓜等“明星品种”集体亮相——每个品种的名字、特点、适宜种植环境一目了然，扫码即可观看科普短视频，轻松了解品种故事；省农科院官方品牌“苏农科”更是将科研转化的美味搬上餐桌，让市民游客沉浸式感受从田间良种到舌尖美味的农业科技魅力。\n\n此外，依托该平台搭建的产学研深度对接渠道也取得积极成效。活动首日，已有4家经营主体与相关科研院所达成了合作意向，有效推动了农业科技成果从实验室走向市场和产业端。","江南时报(2026-10-17)","2026-10-17T00:00:00Z",46,{"impact":385,"substance":646,"depth":584,"authority":768,"freshness":173,"relevant":455,"comment":1229},"地市级科研机构开放日报道，科技展示与产学研对接有实质内容，但影响范围限于区域，属可读性较强的行业动态。",[1231],{"name":1225,"url":1222},[1233,1234,1235,1236,1237],"农业科普","科技成果转化","南京农科所","都市现代农业","苏农科",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1241},{"candidates":1242,"agricultural_evidence":603},[1243,1248,1252,1257,1262,1266,1271],{"code":279,"score":584,"supported":603,"title":1244,"abstract":1245,"tags":1247},[],[281,1246,714],"西瓜",[],{"code":208,"score":602,"supported":603,"title":1249,"abstract":1250,"tags":1251},[],[210],[],{"code":232,"score":602,"supported":603,"title":1253,"abstract":1254,"tags":1256},[],[1255],"向日葵",[],{"code":240,"score":602,"supported":603,"title":1258,"abstract":1259,"tags":1261},[],[1260],"甘薯",[],{"code":302,"score":602,"supported":603,"title":1263,"abstract":1264,"tags":1265},[],[974],[],{"code":563,"score":602,"supported":603,"title":1267,"abstract":1268,"tags":1270},[],[1269],"丰收节",[],{"code":488,"score":455,"supported":581,"title":1272,"abstract":1273,"tags":1274},[],[],[1234],[1276,1277],"南京农科所 公众开放日","苏农科 南粳水稻 苏翠梨","南京农科所公众开放日-5267","2026-10-19T00:07:40.329646Z",{"id":1281,"title":1282,"url":1283,"summary":1284,"summary_zh":11,"content":1285,"source_name":1286,"source_url":11,"published_at":1079,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1287,"score_detail":1288,"sources":1290,"tags":1292,"primary_topic":1296,"secondary_topics":1297,"classification":1298,"search_phrases":1309,"slug":1312,"view_count":455,"doi":11,"paper":11,"created_at":1313},5265,"江苏省农科院蔬菜所\"樱红213\"\"桃林粉玉\"两个番茄新品种公开转让(10-20截止)","https:\u002F\u002Fhome.jaas.ac.cn\u002Fznbmxwlsml\u002Fcgzhc\u002Fart\u002F2026\u002Fart_798e5a5c02884acfbeb82d8a4caade1e.html","江苏省农业科学院蔬菜研究所选育的樱桃番茄新品种\"樱红213\"(椭圆果形、单果重约23g、可溶性固形物9.0%左右、对TYLCV等病害具较高抗性)和大果形粉果番茄新品种\"桃林粉玉\"(单果重约240g、商品果率高、对黄化曲叶病毒病等具抗性)面向社会征寻实施合作伙伴,公告截止日期至2026年10月20日。","‘樱红213’为江苏省农业科学院蔬菜研究所育成的樱桃番茄新品种。该品种无限生长类型，植株长势强，中早熟；植株花序整齐，萼片平，幼果有绿果肩，果实椭圆形；成熟果红色，单果重23克左右，果实硬度高，耐贮运，可溶性固形物9.0%左右，风味浓郁；对番茄黄化曲叶病、灰叶斑、根腐病等具有较高抗性。适宜江苏及类似区域秋延或早春茬保护地栽培。","江苏省农业科学院(2026-10-13)",65,{"impact":643,"substance":361,"depth":416,"authority":646,"freshness":768,"relevant":455,"comment":1289},"省级科研机构番茄新品种公开转让，品种性状数据具体，对种业成果转化有参考价值，但属细分领域常规进展。",[1291],{"name":1286,"url":1283},[758,1293,1294,1295],"品种转让","番茄育种","蔬菜新品种",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1299},{"candidates":1300,"agricultural_evidence":603},[1301,1305],{"code":279,"score":321,"supported":603,"title":1302,"abstract":1303,"tags":1304},[281,668],[281,668],[],{"code":80,"score":69,"supported":581,"title":1306,"abstract":1307,"tags":1308},[],[],[1293,758],[1310,1311],"江苏省农科院 樱红213 番茄","桃林粉玉 番茄新品种","江苏省农科院樱红213番茄-5265","2026-10-19T00:07:40.172259Z",{"id":1315,"title":1316,"url":1317,"summary":1318,"summary_zh":1319,"content":11,"source_name":1320,"source_url":1317,"published_at":1226,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1321,"score_detail":1322,"sources":1324,"tags":1326,"primary_topic":1332,"secondary_topics":1333,"classification":1334,"search_phrases":1368,"slug":1371,"view_count":424,"doi":1372,"paper":1373,"created_at":1396},5249,"Strawberry (Fragaria × ananassa) cultivation in India: A critical review of status, constraints and future directions","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.15408","Strawberry (Fragaria × ananassa Duch.) is an economically important berry crop worldwide, due to its distinctive flavour, nutritional value and health benefits. In recent years, it has been cultivated not only in temperate regions, but also in subtropical and tropical regions. It has become one of the high-value horticultural crops in India, due to the growing consumer demand and good returns to farmers. This review critically examines the trends in yield, constraints and technological factors influencing strawberry cultivation across major strawberry producing states such as Maharashtra, Himachal Pradesh, Uttarakhand, Jammu and Kashmir and other emerging regions in India. Evidence from existing studies indicates that the adoption of improved cultivation practices such as balanced fertilisation, integrated pest management, mulching, protected cultivation and soilless systems has substantially improved fruit yield and quality compared to conventional open-field methods. Despite these advancements, productivity remains limited by climatic sensitivity, pest and disease factors, soil and nutrient management constraints and postharvest losses due to the highly perishable nature of the fruit. Moreover, disparities in technology adoption and the lack of cold-chain infrastructure continue to constrain sectoral growth. Emerging technologies such as precision agriculture and decision-support systems offer considerable potential to improve resource-use efficiency and sustainable production. The review discusses the status of strawberry production in India and its integration with production trends, challenges and future research in the field. It also points out gaps in the current knowledge and limited production systems and also outlines the future technological interventions needed to enhance the productivity, profitability and sustainability of strawberry production under Indian conditions.","草莓（Fragaria × ananassa Duch.）因其独特风味、营养价值和健康益处，成为全球范围内具有重要经济价值的浆果作物。近年来，草莓不仅在中温带地区种植，也在亚热带和热带地区得到栽培。由于消费者需求不断增长且种植者收益良好，草莓已成为印度高值园艺作物之一。本文综述批判性地考察了印度主要草莓产区（如马哈拉施特拉邦、喜马偕尔邦、北阿坎德邦、查谟和克什米尔以及其他新兴地区）的产量趋势、限制因素及影响草莓栽培的技术因素。现有研究证据表明，与传统的露地栽培方法相比，采用平衡施肥、病虫害综合防治、覆盖栽培、设施栽培和无土栽培等改良栽培措施已显著提高了果实产量和品质。尽管取得了这些进展，生产力仍受限于气候敏感性、病虫害因素、土壤和养分管理约束以及果实高度易腐性造成的采后损失。此外，技术采用程度的差异和冷链基础设施的缺乏继续制约着产业增长。精准农业和决策支持系统等新兴技术为提高资源利用效率和可持续生产提供了巨大潜力。本文讨论了印度草莓生产现状及其与生产趋势、挑战和未来研究的融合，指出了当前知识空白和生产体系的局限性，并概述了在印度条件下提高草莓生产力、盈利能力和可持续性所需的未来技术干预措施。","Plant Science Today",72,{"impact":643,"substance":361,"depth":645,"authority":646,"freshness":173,"relevant":455,"comment":1323},"系统综述印度草莓产业现状与制约，对国内草莓种植与设施农业有参考价值，但非本土资讯，时效与影响层级有限。",[1325],{"name":1320,"url":1317},[1327,1328,1329,1330,1331],"设施栽培","病虫害防治","印度农业","草莓种植","无土栽培",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1335},{"candidates":1336,"agricultural_evidence":603},[1337,1342,1348,1352,1356,1360,1364],{"code":279,"score":345,"supported":603,"title":1338,"abstract":1340,"tags":1341},[1339],"strawberry",[714,1339],[],{"code":96,"score":768,"supported":603,"title":1343,"abstract":1344,"tags":1347},[],[1345,1346],"施肥","养分管理",[],{"code":144,"score":768,"supported":603,"title":1349,"abstract":1350,"tags":1351},[],[1043,145],[],{"code":16,"score":768,"supported":603,"title":1353,"abstract":1354,"tags":1355},[],[1033,1034],[],{"code":324,"score":408,"supported":603,"title":1357,"abstract":1358,"tags":1359},[],[1331],[1331,1327],{"code":458,"score":602,"supported":603,"title":1361,"abstract":1362,"tags":1363},[],[924],[],{"code":556,"score":455,"supported":581,"title":1365,"abstract":1366,"tags":1367},[],[],[1329],[1369,1370],"印度 草莓 栽培","Fragaria ananassa 印度","印度草莓栽培-5249","10.14719\u002Fpst.15408",{"doi":1372,"openalex_id":1374,"authors":1375,"venue":1320,"cited_by_count":424,"oa_url":1317,"card":1391,"direction":739,"ingested_from":633},"W7222796615",[1376,1379,1382,1385,1388],{"name":1377,"orcid":1378},"A Dharshni","https:\u002F\u002Forcid.org\u002F0009-0002-8809-3557",{"name":1380,"orcid":1381},"C. P. Ravindran","https:\u002F\u002Forcid.org\u002F0000-0002-7514-4848",{"name":1383,"orcid":1384},"S. Muthulakshmi","https:\u002F\u002Forcid.org\u002F0009-0007-2071-9919",{"name":1386,"orcid":1387},"S. Shenbagavalli","https:\u002F\u002Forcid.org\u002F0000-0001-9344-277X",{"name":1389,"orcid":1390},"T Anitha","https:\u002F\u002Forcid.org\u002F0000-0003-0723-5948",{"tldr":1392,"method":1393,"finding":1394,"direction":685,"opportunity":1395},"综述印度草莓种植的产量趋势、制约因素与技术现状，并提出未来方向。","基于印度主产州文献证据，评述栽培技术、病虫害与采后损失等制约。","改良栽培与无土系统可提产提质，但气候敏感、冷链缺失与技术采纳不均仍限产。","可研究面向小农户的低成本精准栽培与决策支持系统，并补齐采后冷链信息化短板。","2026-10-18T23:31:06.966374Z",{"id":1398,"title":1399,"url":1400,"summary":1401,"summary_zh":11,"content":1402,"source_name":1403,"source_url":11,"published_at":950,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1404,"score_detail":1405,"sources":1407,"tags":1409,"primary_topic":1414,"secondary_topics":1415,"classification":1416,"search_phrases":1435,"slug":1438,"view_count":424,"doi":11,"paper":11,"created_at":1439},5122,"亚夫科技服务项目「优质叶用豌豆新品种及轻简化高效生产技术示范推广」启动会在无锡召开","https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fkjfw\u002Fart\u002F2026\u002Fart_e9916478efea4ab6a9a7b3d0f9c8a93e.html","亚夫科技服务项目「优质叶用豌豆新品种及轻简化高效生产技术示范推广」启动会暨无锡市设施蔬菜智慧生产应用场景建设研讨会在江苏省农业科学院无锡分院召开。会议由院亚夫科技服务惠山洛社工作站与无锡市农业技术推广中心联合主办。项目落地惠山区洛社精细蔬菜产业园,引进新品种、集成轻简化栽培技术,推动蔬菜产业升级、带动农户增收。方案联合多家农业科研院所及企业,依托10亩展示验证探索区和40亩智慧生产应用区中智能传感、视频监测、自动控制相关设施,打造可复制、可推广、可盈利的设施叶菜智慧生产样板。","近日，亚夫科技服务项目“优质叶用豌豆新品种及轻简化高效生产技术示范推广”启动会暨无锡市设施蔬菜智慧生产应用场景建设研讨会在无锡分院召开。会议由院亚夫科技服务惠山洛社工作站与无锡市农业技术推广中心联合主办，南京农业大学、农业农村部南京农业机械化研究所相关行业专家及我院成果转化处领导到会指导。无锡农业农村相关部门负责人、农机企业代表及项目团队成员参会，聚力探索洛社设施蔬菜产业提质增效、智慧升级新路径。\n\n项目负责人、无锡分院副院长高兵汇报优质叶用豌豆新品种及轻简化高效生产技术示范推广项目实施方案与前期推进情况。项目落地惠山区洛社精细蔬菜产业园，针对当地叶用豌豆产业短板，引进新品种、集成轻简化栽培技术，推动蔬菜产业升级，带动农户增收。与会专家围绕品种筛选、全程机械化应用、示范推广模式等关键内容开展论证点评，并提出针对性优化建议。\n\n洛社工作站副站长高晓东详细介绍了50亩连栋塑料大棚蔬菜智慧生产应用场景建设方案。方案联合多家农业科研院所及企业，依托10亩展示验证探索区和40亩智慧生产应用区中智能传感、视频监测、自动控制相关设施，开展智能装备研发、品种筛选和生产模式集成，全力打造可复制、可推广、可盈利的设施叶菜智慧生产样板。与会专家与企业代表针对棚体构型优化、物联网信息化管控、农机装备适配、长效运营机制等重点环节深入研讨、建言献策。\n\n院成果处处长顾军作总结讲话。他强调，项目要紧扣产业需求，深化政研、产研协同，加快技术落地；发挥亚夫科技工作站平台优势，做好新品种、新技术示范展示与人才培育；统筹推进品种改良示范与智慧场景建设，打造无锡设施蔬菜智慧农业标杆。\n\n下一步，项目团队将充分吸纳会议意见，完善实施方案，加快叶用豌豆新品种示范推广和智慧蔬菜场景建设，弘扬亚夫精神，打通科技兴农“最后一公里”，以科技赋能蔬菜全产业链升级，助力乡村振兴。\n\n[![Image 1: image001.jpg](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002FSe1b26fed5b5b436d9d11bc9e78f2cecd-800.jpg)](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002Fe1b26fed5b5b436d9d11bc9e78f2cecd.jpg)[](https:\u002F\u002Fjaas.ac.cn\u002Fxww\u002Fkjfw\u002Fart\u002F2026\u002Fart_e9916478efea4ab6a9a7b3d0f9c8a93e.html)\n\n[![Image 2: image003.jpg](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002FS29b4348a79854117bb72b387d7f5199a-800.jpg)](https:\u002F\u002Fjaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F191335345\u002Fpicture\u002F20268\u002F29b4348a79854117bb72b387d7f5199a.jpg)","江苏省农业科学院 2026 年 10 月 15 日",56,{"impact":385,"substance":345,"depth":416,"authority":416,"freshness":173,"relevant":455,"comment":1406},"地市级设施蔬菜智慧生产与叶用豌豆新品种示范项目启动，有具体场景方案与多方专家论证，但属区域推广动态，公共影响有限。",[1408],{"name":1403,"url":1400},[589,1410,1411,1412,1413],"设施蔬菜","科技服务","轻简化栽培","叶用豌豆",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1417},{"candidates":1418,"agricultural_evidence":603},[1419,1423,1427,1431],{"code":279,"score":400,"supported":603,"title":1420,"abstract":1421,"tags":1422},[],[281],[1410],{"code":324,"score":602,"supported":603,"title":1424,"abstract":1425,"tags":1426},[],[1410],[],{"code":488,"score":455,"supported":581,"title":1428,"abstract":1429,"tags":1430},[],[],[1411],{"code":16,"score":455,"supported":581,"title":1432,"abstract":1433,"tags":1434},[],[],[589],[1436,1437],"亚夫科技服务 叶用豌豆 无锡","洛社 设施蔬菜 智慧生产","亚夫科技服务叶用豌豆无锡-5122","2026-10-17T00:13:40.145255Z",{"id":1441,"title":1442,"url":1443,"summary":1444,"summary_zh":11,"content":1445,"source_name":1446,"source_url":11,"published_at":11,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1447,"score_detail":1448,"sources":1450,"tags":1452,"primary_topic":1456,"secondary_topics":1457,"classification":1460,"search_phrases":1480,"slug":1483,"view_count":424,"doi":11,"paper":11,"created_at":1484},5113,"中国农科院蔬菜花卉所揭示假单胞菌通过代谢重编程赋予马铃薯耐盐性新机制","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002F0015064067524be58625da97b466f754.htm","中国农业科学院蔬菜花卉研究所马铃薯遗传育种与栽培创新团队联合国内高校,揭示特异假单胞菌通过代谢重编程赋予马铃薯耐盐性的新机制,相关研究成果发表在《npj Biofilms and Microbiomes》上。研究对117份二倍体马铃薯材料开展耐盐评价与根际微生物组分析,发现耐盐马铃薯材料在盐胁迫条件下可富集更多存在互作关联的细菌类群,且假单胞菌丰度显著提高。研究进一步分离得到耐盐促生特异假单胞菌株,该菌株既可促进耐盐马铃薯在盐渍土壤中生长,也可提升盐敏感马铃薯的耐盐能力,初步证实其可激活苯丙烷生物合成等防御相关通路。","[English](https:\u002F\u002Fwww.caas.cn\u002Fen)[邮箱](https:\u002F\u002Fmail.caas.cn\u002F)[数字农科院](https:\u002F\u002Fi.caas.cn\u002F)[](https:\u002F\u002Fcaas.cn\u002Fcms\u002Fweb\u002Fsearch\u002Findex.jsp?siteID=cdb01dceb46e48488945d4465e90f221&aba=)\n\n官方微信 \n\n![Image 2](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002F020ac4d3d8b6451782a8702c72604336.jpg)农科专家在线微信公众号\n\n![Image 3](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002Fbf6579e4651e437db31a22cd2249b319.jpg)中国农科院微信公众号\n\n[![Image 4](https:\u002F\u002Fcaas.cn\u002Fstatic2022\u002Fimages\u002Fmenu_logo.png)](https:\u002F\u002Fcaas.cn\u002Findex.htm)\n\n*   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0032.png](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-10\u002F1f1a7181cf1448d38769c151802b1c94.png)\n\n土壤盐渍化严重制约作物生产。马铃薯属于中度盐敏感作物，提升马铃薯耐盐性对挖掘盐渍土地生产潜力、保障粮食安全具有重要意义，但根际微生物参与马铃薯耐盐响应的机制尚不清楚。\n\n该研究对117份二倍体马铃薯材料开展耐盐评价与根际微生物组分析，发现耐盐马铃薯材料在盐胁迫条件下可富集更多存在互作关联的细菌类群，且假单胞菌丰度显著提高。研究进一步分离得到耐盐促生特异假单胞菌株，该菌株既可促进耐盐马铃薯在盐渍土壤中生长，也可提升盐敏感马铃薯的耐盐能力。研究初步证实该菌株可激活苯丙烷生物合成等防御相关通路，增强植株对盐胁迫的抵御响应。该研究为利用微生物组策略改良马铃薯耐盐性状提供了重要理论依据与微生物种质资源。\n\n该研究得到国家重点研发计划、中国农业科学院科技创新工程等项目支持。（通讯员 陈旭）\n\n原文链接：https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41522-026-01150-0\n\n打印本页\n\n关闭本页\n\n[院网信息发布与管理](https:\u002F\u002Fcaas.cn\u002Fywxxfbygl\u002Findex.htm)[最新动态](https:\u002F\u002Fcaas.cn\u002Fywxxfbygl\u002Findex.htm)\n\n*   [［CCTV-2］《正点财经》农业农村部：9月份全国生猪和猪肉价格环比小幅上](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fmtxw\u002Fbf10b20623d0478b9b2615a667a49718.htm)2026-10-12  \n*   [为农机搭载“智能大脑” 农机智能引擎AMES正式发布](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002F1e301f834f7a499180a3095b26448e72.htm)2026-10-12  \n*   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邮编:100081\n\nCopyright@中国农业科学院 京ICP备10039560号-5[_![Image 13](https:\u002F\u002Fcaas.cn\u002Fstatic2022\u002Fimages\u002Ficon\\_ba.png)_ 京公网安备11010802048565号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010802048565)","中国农业科学院蔬菜花卉研究所 2026 年 10 月",82,{"impact":321,"substance":644,"depth":361,"authority":862,"freshness":768,"relevant":455,"comment":1449},"国家级科研机构揭示假单胞菌代谢重编程提升马铃薯耐盐性的新机制，属农业生物技术领域实质突破，具备较高参考价值。",[1451],{"name":1446,"url":1443},[1154,1453,1454,958,1455],"微生物组","耐盐碱","代谢重编程",{"code":240,"slug":241,"name":242,"path":243,"parent_code":200},[1458,1459],{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},{"code":302,"slug":303,"name":304,"path":305,"parent_code":271},{"status":597,"locked":581,"version":4,"method":598,"evidence":1461},{"candidates":1462,"agricultural_evidence":603},[1463,1467,1471,1475],{"code":240,"score":416,"supported":603,"title":1464,"abstract":1465,"tags":1466},[1154],[1154],[1154],{"code":279,"score":524,"supported":603,"title":1468,"abstract":1469,"tags":1470},[281],[281],[],{"code":302,"score":524,"supported":603,"title":1472,"abstract":1473,"tags":1474},[974],[974],[],{"code":144,"score":823,"supported":603,"title":1476,"abstract":1477,"tags":1479},[],[1043,1478],"根际",[1454],[1481,1482],"中国农科院蔬菜花卉所 马铃薯 耐盐","假单胞菌 马铃薯 耐盐机制","中国农科院蔬菜花卉所马铃薯耐盐-5113","2026-10-17T00:13:39.397840Z",{"id":1486,"title":1487,"url":1488,"summary":1489,"summary_zh":11,"content":1490,"source_name":1491,"source_url":11,"published_at":1492,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1287,"score_detail":1493,"sources":1495,"tags":1497,"primary_topic":1500,"secondary_topics":1501,"classification":1502,"search_phrases":1517,"slug":1520,"view_count":69,"doi":11,"paper":11,"created_at":1521},5057,"安徽农科院蔬菜所\"皖椒19\"入选2026新疆加工辣椒十大优异品种(线椒类型)","https:\u002F\u002Fwww.toutiao.com\u002Fw\u002F1878563507886087\u002F","10月9日,2026新疆加工辣椒产业发展大会暨产销对接会在新疆和硕县举办,安徽省农业科学院蔬菜研究所选育、国家特色蔬菜产业技术体系合肥综合试验站选送的\"皖椒19\"成功入选十大优异品种(线椒类型)。该品种为早熟线椒,果实长羊角形,干椒暗红光亮、辣椒红素含量高,坐果集中、持续坐果能力强,对病毒病、疫病、炭疽病均有较强抗性,为安徽辣椒走向全国加工辣椒主产区再添\"通行证\"。","该内容由文章生成，查看原文\n\n“皖椒19”入选新疆加工辣椒十大优异品种  \n近日，在新疆和硕县举办的2026新疆加工辣椒产业发展大会暨产销对接会上，由安徽省农科院蔬菜研究所选育、国家特色蔬菜产业技术体系合肥综合试验站选送的“皖椒19”成功入选十大优异品种（线椒类型），为安徽辣椒品种走向全国加工辣椒主产区再添一张“通行证”。  \n本次大会集品种展示、产业交流、产销对接于一体，旨在搭建科研单位、种业企业、种植基地、加工企业与采购商之间的合作平台，推动加工辣椒产业链上下游精准对接。来自全国科研院所、高等院校、行业协会、加工企业及种植主体的500余名代表齐聚天山南麓，围绕品种创新、绿色栽培、智能农机、质量安全、精深加工、产销协作等议题深入交流，共探产业提质增效新路径。  \n大会展示基地集中展示加工辣椒品种196个，覆盖板椒、线椒、朝天椒等主要品类。经综合评审，最终评选出十大优异品种，其中板椒5个、线椒2个、朝天椒3个。  \n据介绍，“皖椒19”为早熟线椒品种，生长势强，果实长羊角形、果面光滑，青熟果颜色鲜绿，干椒暗红光亮，辣椒红素含量高；果实辣味重、香味浓郁；坐果集中、持续坐果能力强，可实现丰产稳产，对病毒病、疫病、炭疽病均有较强抗性，具备良好的加工适应性与推广前景。  \n新疆是我国重要的加工辣椒产区，和硕县光热资源优越、产业基础扎实，集聚效应持续增强。此次入选既体现了“皖椒19”在加工辣椒领域的优良性状与应用潜力，也彰显了合肥综合试验站在辣椒新品种选育、引进与示范推广方面取得的积极成效。随着优异品种加快落地推广、产销衔接持续深化，“皖椒19”的行业知名度将进一步提升，有望在新疆乃至全国加工辣椒产区扩大示范推广，为加工辣椒产业提质增效、农业增效、农民增收注入新的品种动能。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fbb493f83dad89f71df3479e88aff277d~tplv-obj:1207:804.image?_iz=97245&bid=15&from=post&gid=1878563507886087&lk3s=06827d14&x-expires=1799884800&x-signature=JhPPxHdYZBhECHxui17Ddf1QrlI%3D)![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F4d50433cf371ebbdcc946e5adb108c5a~tplv-obj:1257:942.image?_iz=97245&bid=15&from=post&gid=1878563507886087&lk3s=06827d14&x-expires=1799884800&x-signature=AQeEz3expi3WHTVnmBo2Wt2Daa8%3D)![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fac8b2eba640bee49c81224a8ae208297~tplv-obj:955:1180.image?_iz=97245&bid=15&from=post&gid=1878563507886087&lk3s=06827d14&x-expires=1799884800&x-signature=qrpwVsGE%2FNLlszOpBHjCMiYcb8Y%3D)","大皖新闻 安徽省农业科学院蔬菜研究所 2026年10月9日","2026-10-09T09:22:00Z",{"impact":361,"substance":643,"depth":345,"authority":524,"freshness":768,"relevant":455,"comment":1494},"省级科研机构选育品种入选新疆加工辣椒十大优异品种，属细分行业实质性进展，但为地方媒体通稿式报道，时效已过一周，适合主题聚合而非每日精选头条。",[1496],{"name":1491,"url":1488},[758,759,911,1498,1499],"加工辣椒","辣椒品种",{"code":279,"slug":280,"name":281,"path":282,"parent_code":271},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1503},{"candidates":1504,"agricultural_evidence":603},[1505,1509,1513],{"code":279,"score":321,"supported":603,"title":1506,"abstract":1507,"tags":1508},[281,1027],[281,1027],[],{"code":488,"score":69,"supported":581,"title":1510,"abstract":1511,"tags":1512},[],[],[759,911],{"code":80,"score":455,"supported":581,"title":1514,"abstract":1515,"tags":1516},[],[],[758],[1518,1519],"皖椒19 新疆 加工辣椒","安徽省农科院蔬菜所 线椒","皖椒19新疆加工辣椒-5057","2026-10-16T00:13:12.463923Z",{"id":1523,"title":1524,"url":1525,"summary":1526,"summary_zh":11,"content":1527,"source_name":1528,"source_url":11,"published_at":1529,"category":750,"cover_url":11,"hotness":385,"is_selected":581,"score":1530,"score_detail":1531,"sources":1533,"tags":1535,"primary_topic":1541,"secondary_topics":1542,"classification":1543,"search_phrases":1554,"slug":1557,"view_count":424,"doi":11,"paper":11,"created_at":1558},5054,"河南农科院加工中心王赵改团队在蛋黄卵磷脂协同改善辣椒油热加工品质研究方面取得新进展","https:\u002F\u002Fwww.hnagri.org.cn\u002Farticle-114191.html","河南省农业科学院、河南科技学院、华中农业大学和上海交通大学合作研究发现,2.0%蛋黄卵磷脂添加组的辣椒油酸价和TBARS值分别降低76.3%和45.5%,DPPH自由基清除率提高至86.48%,获得最高综合感官评分,实现氧化稳定性与感官品质较优平衡。论文发表于Food Chemistry,靳皓博博士为第一作者、王赵改研究员为通讯作者,研究得到河南省重点研发专项、国家自然科学基金等资助。","近日，我院农产品加工研究中心王赵改团队在食品科学领域国际知名期刊《Food Chemistry》（新锐分区1区，JCR1区，IF=10.4）发表题为“The mechanism of egg yolk lecithin in improving the quality of chili oil during thermal processing: Integrated insights from lipid oxidation and flavoromics”的研究论文。该研究以天然蛋黄卵磷脂为品质调控组分，系统分析其对辣椒油热加工过程中氧化稳定性、挥发性风味组成及感官品质的影响，提出了脂质氧化与风味形成协同调控的可能作用路径，为高品质辣椒调味油开发提供了新的研究依据。\n\n辣椒油是我国重要的特色调味食品，其品质不仅取决于辣椒原料和加工工艺，还与热加工期间的油脂氧化和风味物质形成密切相关。适度加热有利于特征香气形成，但过度氧化又容易引起油脂劣变和异味积累。如何在抑制过度氧化的同时又保持良好的风味特征，是辣椒油品质提升中的关键问题。蛋黄卵磷脂作为天然两亲性脂质组分，在提升油脂氧化稳定性、调控风味品质及改善食品加工品质等方面具有良好的应用潜力，但目前蛋黄卵磷脂在辣椒油热加工过程中同步改善氧化稳定性和风味特征的作用机制尚未完全阐明。\n\n本团队通过设置不同蛋黄卵磷脂添加水平，结合酸价、硫代巴比妥酸反应物、DPPH自由基清除能力及感官评价，系统研究了蛋黄卵磷脂对辣椒油热加工品质的调控作用。结果表明，蛋黄卵磷脂能够有效抑制辣椒油热加工过程中的氧化劣变，且改善效果具有明显的添加量依赖性。其中，3.6%添加组的酸价和TBARS值较对照组分别降低86.8%和54.5%，DPPH自由基清除率由63.77%提高至95.28%，达到对照组的1.49倍，表现出最强的抗氧化能力。然而，该组整体感官接受度低于2.0%添加组，表明过度抑制氧化反应并不一定有利于辣椒油风味品质的提升。相比之下，2.0%添加组的酸价和TBARS值分别降低76.3%和45.5%，DPPH自由基清除率提高至86.48%，同时获得最高的综合感官评分，实现了氧化稳定性与感官品质的较优平衡。\n\n为进一步揭示抗氧化效果与风味品质变化不完全一致的内在原因，团队运用气相色谱-离子迁移谱和顶空固相微萃取-气相色谱质谱联用技术，分别鉴定出38种和83种挥发性化合物，系统解析了不同卵磷脂添加水平下辣椒油挥发性风味组成及其变化规律。结合多变量统计分析和香气活度值评价，筛选出5种候选香气活性标志物，明确了卵磷脂添加对关键香气组分的差异化调控特征。在此基础上，进一步从脂质氧化、美拉德反应及萜烯类物质转化三方面构建了辣椒油香气变化的代谢网络，明确了卵磷脂通过调节不同反应路径的相对贡献，改变脂质氧化产物与热加工香气物质之间的组成平衡，从而影响辣椒油的整体风味品质。本研究为辣椒油及相关油基调味食品的配方优化、风味精准调控和蛋源功能组分高值化利用提供了新的理论依据与技术参考。","河南省农业科学院 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transcriptome and metabolome analysis reveal the CmCNL2-mediated defense response to powdery mildew in melon”оɹо״֤ʵCmCNL2ǵ϶԰׷۾race 1ԵĹؼ򣻻ڸû򿪷Indel5353178м֣ⷢЯ͵ʾֿ߿׷۲ñϰ׷۲ӱǸоҪӦüֵ\n\nоԿƷϵ2021-2͸вƷϵ2021-1Ⱥ壬BSA-seqӱǿϰ׷۲Իϸλ2Ⱦɫ0.5 Mb䣬ѡCmCNL2ûCC-NBS-LRRףֺ12 h24 hڿױбڸвױױв죨ƶ91.83%KASP5353-2Indel5353KASP5353-3F₂Ⱥ뿹ȫ롣ĬCmCNL2ɥʧ֤ʵΪ϶԰׷۾race 1ԵĹؼת¼лϷ5,960820۴л漰“ֲ-ԭ”“ֲMAPKźͨ·”“ϳ”“׸Ĵл”ͨ·CmCNL2ͨCa²⁺źšMAPKROSȶǿԡоΪϰ׷۲ṩ˺ѡõķӱǣҲΪCNL࿹׽鵼߷ӻƵ춨ۻ\n\nԺ԰DzʿΪĵһߣоԱͷоԱΪͬͨѶߡоõĴʡȻѧ𡢹ִũҵҵϵĴʡɫ߲˴ŶרԺ“1+9”“10+9”صĿԭӣhttps:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2667064X2600268X","四川省农业科学院 园艺所 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