#害虫预测预报

湖南省植保植检站站长张政兵接受采访时表示，受多雨天气、虫口迁入基数、全面禁烧管控等多重因素影响，今年夏秋季稻飞虱、甜菜夜蛾、斜纹夜蛾、跳甲、橘小实蝇、南亚果实蝇等虫害偏重发生；晚稻最大的害虫是稻飞虱，重发区集中在长沙、株洲、娄底、常德、益阳等地；省农业农村厅全面加强监测预警、常态性会商，下沉农技力量、抓实药剂物资调度、强化科学用药指导，推动统防统治和群防群治，及时处置风险田块。

Agricultural pest surveillance is shifting from periodic manual inspection towards digitally mediated observation, combining automated traps, computer vision, environmental sensors and statistical or machine-learning forecasts. The technological literature reports increasingly sophisticated species recognition, remote counting and near-real-time data transmission. Whether these capabilities generate reliable estimates of pest pressure or improve integrated pest management, however, depends on ecological sampling, field validation and decisions taken after an alert. This critical narrative review evaluates the measurement-to-decision pathway rather than treating classification accuracy as evidence of agronomic benefit. Peer-reviewed research and relevant methodological literature were identified through accessible scholarly sources, with thematic emphasis on camera-equipped pheromone, light and adhesive traps; image-recognition architectures; optical, acoustic and environmental sensing; predictive modelling; and operational evaluation. The synthesis indicates that instrumented traps and image-processing methods can reduce some observation burdens and produce useful within-system temporal information. Their reported performance is nevertheless strongly conditioned by trap selectivity, target species, illumination, specimen overlap, annotation quality, seasonal distribution shifts and the choice of validation dataset. Forecasting approaches can exploit temperature, phenology and historical trap catches, but retrospective fit does not establish transferable warning value. Ecological inference also requires distinguishing insect activity, trap catches, abundance, crop injury and economic risk. The most consequential weaknesses are limited independent multi-site prospective testing, incomplete uncertainty reporting, insufficient comparison with manual scouting, and few controlled evaluations of management consequences. A deployment-oriented framework is proposed in which measurement validity, calibration, forecast skill, decision thresholds, costs and non-target effects are appraised as connected requirements. Progress will depend less on marginal improvements in benchmark detection scores than on prospective, locally calibrated studies that measure timeliness, intervention quality, labour, pesticide use, yield and biodiversity outcomes.

中国农业科学院基因组所（大鹏湾实验室）常贺坦研究员、Bill S.Hansson院士与王桂荣研究员团队联合国内外合作单位，揭示飞蝗借助母传共生细菌实现聚集产卵与卵防御的分子机制。研究锁定关键挥发物2,4,6-三甲基吡啶（2,4,6-TMP），由群居飞蝗卵荚附着的共生细菌释放；该分子还能驱避及毒杀红火蚁、线蚓、步甲等多种土壤蝗卵天敌。团队从82个受体基因中鉴定出两个必需嗅觉受体；敲除任一受体，集群产卵行为随之被破坏。研究构建了"飞蝗宿主—母传共生菌—挥发物—天敌"的多级互作链条，为飞蝗两型分化、蝗灾世代延续与爆发成灾提供全新解释。

Entomopathogenic nematode recent applications in precision agriculture: Methods, challenges, and future perspectives。Journal of Invertebrate Pathology

利用智慧农业站数据评估油桃园蚜虫风险，发现10月为高风险期。

9月1日盲蝽绿色防控科技交流会暨山东沾化冬枣绿盲蝽防控现场观摩活动在滨州沾化举办，中国工程院院士吴孔明为全国首个冬枣类'盲蝽全程绿色防控技术示范基地'授牌。山东省农科院自2006年起在古城镇油坊村建立试验示范点，形成'冬剪除卵+春季生物农药+夏秋高效诱杀+种植功能植物蛇床草生态保育天敌'综合防控模式。

广东省农科院植保所揭示漆酶CcLac2调控中国梨木虱夏型向冬型转变的分子机制，为梨树害虫绿色精准防控提供新靶点与理论支撑。

用农业气象变量与时间特征构建机器学习模型，实现印度棉区棉铃虫多级发生预测。