【目的】 为明确暗黑鳃金龟Holotrichia parallela与铜绿丽金龟Anomala corpulenta的取食植物组成及食物多样性，本研究基于DNA宏条形码结合灯诱法分析其食性偏好，为该类害虫绿色防控提供科学依据。【方法】 采用人工诱捕活体金龟与虫情测报灯红外诱杀金龟两种方式，分别获取暗黑鳃金龟与铜绿丽金龟的活体及死亡虫体。通过解剖获得其肠道鲜样与干样，提取DNA后，利用叶绿体trnL基因片段进行PCR扩增与高通量测序，基于NCBI数据库对扩增序列进行分类鉴定，并计算Alpha、Beta多样性指数以评估取食植物的多样性与组成差异。【结果】 暗黑鳃金龟肠道内容物中，植物种类以中国樱桃Prunus pseudocerasus、灯台树Bothrocaryum controversum和垂柳Salix babylonica为主，其中中国樱桃的相对丰度高达68.56%，占主导地位。铜绿丽金龟的取食范围更为广泛，主要植物包括中国樱桃（24.62%）、河南海棠Malus honanensis（19.02%）、垂柳（14.61%）和刺槐Robinia pseudoacacia（10.70%），呈现广食性特征。通过比较两种取样方式（活体鲜样与灯诱干样）的Alpha、Beta多样性指数发现，两者在反映取食植物种类丰度及均匀性方面无显著差异（P > 0.05），均能准确反映目标昆虫的取食偏好与多样性特征。【结论】 基于植物DNA条形码与高通量测序技术可实现对植食性昆虫取食植物的快速、高效鉴定。利用虫情测报灯诱杀害虫获取的肠道干样，其分析结果能够较好反映昆虫的自然取食组成，为今后开展基于食物网的害虫生态调控及绿色防控策略的制定提供了可靠的技术支持与数据基础。

 [Aim]  To quickly identify the host plant composition and dietary diversity of two phytophagous scarab beetles, Holotrichia parallela and Anomala corpulenta. Using DNA metabarcoding and light trapping, the feeding preferences of these beetles were analyzed to provide a scientific basis for the environmentally-friendly control of these pests. [Methods]  Samples were collected using two methods, manual trapping of live beetles and automated collection via lethal infrared monitoring lamps. Guts of both live trapped and lamp-killed beetles were dissected, and total DNA was extracted from the gut contents. The trnL gene was amplified by PCR and sequenced on a high-throughput platform. The resulting sequences were compared against the NCBI database for taxonomic assignment. Both Alpha and Beta diversity were calculated and used to compare the diversity and composition of the plants consumed by each species. [Results]  Analysis of H. parallela gut contents revealed a diet dominated by a few plant species, primarily Prunus pseudocerasus, Bothrocaryum controversum and Salix babylonica. Of these, P. pseudocerasus was the most prevalent, with a relative abundance of 68.56%. In contrast, A. corpulenta had a more generalist diet, which included P. pseudocerasus (24.62%), Malus honanensis (19.02%), S. babylonica (14.61%) and Robinia pseudoacacia (10.70%). The Alpha and Beta diversity indices obtained using both two sampling methods (fresh samples from live-caught specimens and dry samples from light-trap killed specimens) were compared, and no significant differences (P> 0.05) were found. Both types of sample accurately reflected the abundance, and evenness, of ingested plant species, as well as the feeding preferences and dietary diversity of each species. [Conclusion]  The integration of plant DNA barcoding and high-throughput sequencing effectively enables rapid and efficient identification of the plants consumed by phytophagous insects. Gut samples obtained from pest monitoring lamps can reliably reveal the natural dietary composition of the target species. These results support the development of food-web based ecological regulation, and the development of environmentally-friendly pest control strategies.