The tomato leaf miner (syn. ) Meyrick (Lepidoptera: Gelechiidae) is invasive in many agricultural regions. Its larvae feed inside leaf mines or tomato fruits and are difficult to reach with plant protection products. In contrast, entomopathogenic nematodes (EPNs) are highly virulent and can search for larvae. The challenge is to formulate EPNs to remain protected on a sprayed leaf surface until they enter the mines. We tested 11 formulations, including 2 oils, 4 gels or thickeners, 2 surfactants, 2 UV protectants, water, and combinations with and without the EPN (Weiser) RW14-G-R3a-2 (Rhabditida: Steinernematidae), under non-closed low-humidity conditions. Six tomato leaf experiments with 1000 EPNs sprayed per leaf showed that EPNs in 0.25 to 0.5% canola oil or in 5% alkyl polyglycoside surfactant were the most effective (26 to 37%). Other formulations and an insecticide had less or no effect. Seven other bioassays showed that most formulations did not adversely affect EPN survival or pathogenicity. We assume that formulations of EPNs can be further improved, such as with other flowable gels or combinations, and encourage investment in the development of practical and economic protective sprayable formulations of EPNs against leaf miners to reduce reliance on chemical insecticides.
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http://dx.doi.org/10.3390/insects16020189 | DOI Listing |
BMC Plant Biol
March 2025
Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, 262700, China.
In the context of intelligent agriculture, tomato cultivation involves complex environments, where leaf occlusion and small disease areas significantly impede the performance of tomato leaf disease detection models. To address these challenges, this study proposes an efficient Tomato Disease Detection Network (E-TomatoDet), which enhances tomato leaf disease detection effectiveness by integrating and amplifying global and local feature perception capabilities. First, CSWinTransformer (CSWinT) is integrated into the backbone of the detection network, substantially improving tomato leaf diseases' global feature-capturing capacity.
View Article and Find Full Text PDFPlant Dis
March 2025
Beijing Academy of Agriculture and Forestry Sciences, Institute of plant protection, No. 9 of ShuGuangHuaYuan ZhongLu, Haidian District, Beijing 100097, China., Beijing, China, 100097;
Tomato (Solanum lycopersicum) is widely grown worldwide, ranking first among vegetable crops. Root diseases of tomatoes can cause serious yield losses. In June 2023 and 2024, tomato root rot symptoms were observed in the greenhouse with 70%-90% incidence approximate number of plants (N=210) in Beizhen City (121°47 ' 30 ''E, 41°35' 45 ''N), Liaoning Province, China.
View Article and Find Full Text PDFHortic Res
April 2025
Department of Bioresources Engineering, Sejong University, Neungdong-ro 209, Gwangjin-gu, Seoul 05006, Republic of Korea.
The CRISPR-Cas9 system can be used to introduce site-specific mutations into the genome of tomato () plants. However, the direct application of this revolutionary technology to desirable tomato cultivars has been hindered by the challenges of generating transgenic plants. To address this issue, we developed an efficient and heritable genome editing system using tobacco rattle virus (TRV) for an elite tomato cultivar (the paternal line of Saladette).
View Article and Find Full Text PDFPlant Methods
March 2025
College of Information Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Remarkable inter-class similarity and intra-class variability of tomato leaf diseases seriously affect the accuracy of identification models. A novel tomato leaf disease identification model, DWTFormer, based on frequency-spatial feature fusion, was proposed to address this issue. Firstly, a Bneck-DSM module was designed to extract shallow features, laying the groundwork for deep feature extraction.
View Article and Find Full Text PDFMethods Mol Biol
March 2025
Instituto de Ciencias Agrarias (ICA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
The majority of plant viruses rely on Hemipteran vectors for their survival and transmission. Moreover, many viruses can manipulate their insect vectors. In this context, the Electrical Penetration Graph (EPG) technique is a valuable tool for understanding how plant viruses, such as the begomovirus tomato yellow leaf curl virus (TYLCV), modify the probing and feeding behavior of piercing-sucking insect vectors like the whitefly Bemisia tabaci Gennadius (Hemiptera: Aleyrodidae).
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