Li Zheng

Weeds are the most widespread biotic constraint to agricultural production, and herbicide‐based control remains the most cost‐effective approach in most cropping systems. A herbicide's efficacy, safety and environmental footprint depend as much on formulation as on active ingredient. This review synthesises the global evolution of herbicide formulations, compares regional markets and regulations (European Union, United States, Brazil, Africa, Southeast Asia, China), and analyses the limits of conventional formulations and prospects for greener innovation. Herbicide formulations have evolved through three phases: rudimentary systems (1940s–1960s), environmentally improved systems (1970s–1990s) and functional, smart systems (2000s–present). Conventional formulations achieve only 10–30% delivery efficiency, with > 70% of applied active ingredients lost to drift, runoff and degradation; 512 weed species are now resistant to at least one mode of action. The global herbicide formulation market reached US$38.2 billion in 2023; China is the largest producer (about 70% of global glyphosate capacity) and consumer (US$9.7 billion). No genuinely new herbicidal mode of action has reached the market. Formulation innovation is complementary to, not a substitute for, new‐chemistry discovery: improved delivery increases the efficiency and safety of existing active ingredients, but durable weed control also requires new modes of action and integration with biological and agronomic tools. Nanotechnology‐enabled targeted delivery, active ingredient‐optimised design, bio‐based carriers and precision application offer a realistic pathway to more efficient, safer and more sustainable herbicide formulations, and to overcoming China‐specific bottlenecks in adjuvants and high‐value formulation technology. © 2026 Society of Chemical Industry.

Species of the genus Orius, diminutive predatory insects that act as natural enemies of other arthropods, are frequently employed in agricultural pest management for controlling various pests, such as thrips, mites, aphids, whiteflies, etc. However, the scarcity of high-quality genomic resources for these predators hinders our comprehension of their population evolution and predation ecology. Consequently, we assembled and annotated a chromosomal-scale genome of Orius nagaii by collating PacBio and Illumina sequencing and Hi-C genomic analysis techniques. The final genome assembly size 152.62 Mb, with scaffold and contig N50 lengths of 11.53 and 2.39 Mb, respectively. It is organized into 12 pairs of autosomes and a pair of XY sex chromosomes. The quality assessment of the genomic data with BUSCO revealed a completeness of 98.5% (n = 1,367). Also, 11,917 protein-coding genes were discovered, with 94.28% of them having functional annotations. The high-quality genome of O. nagaii produced serves as a valuable resource for comprehending the interactions between predatory natural enemies and hosts, along with their evolutionary trajectories.

Luteolin, as one of the flavonoids, has demonstrated repellent and toxic effects on various insect pests; however, its influence on thrips development and fecundity remains poorly understood. In this study, we investigated the toxicity of luteolin on the survival of a worldwide insect pest, the western flower thrips (WFT) (Frankliniella occidentalis Pergande), its effects on WFT feeding and oviposition preferences, and its sublethal impacts on development and fecundity. Results showed that both adult and nymphal WFT mortality rates increased with luteolin concentration. In choice assays, luteolin exhibited repellent effects on nymphal feeding and adult oviposition. At a sublethal concentration of 0.1 mg/mL, luteolin significantly shortened the adult lifespan, and reduced fecundity, intrinsic rate of increase (r), finite rate of increase (λ), and net reproductive rate (R₀), suppressing WFT population growth. This study demonstrates that luteolin has the potential to be developed as a botanical pesticide for thrips management, combining with toxic and reproduction-inhibiting activities.

Megalurothrips usitatus (Bagrall 1913) (MTU) is a major pest of cowpea (Vigna unguiculata (L.) Walp.) and shows a strong preference for floral tissues. To clarify the spatiotemporal distribution of thrips, we conducted a detailed survey of their abundance in flowers of different developmental stages—sampled in the morning (preanthesis flowers, PAF; open flowers, OPF; postanthesis flowers, PoAF) and at dusk (preanthesis flowers scheduled to open the next morning, PAF-D; closed flowers, CF). Behavioral responses of MTU to floral volatiles from these stages were evaluated using a Y-tube olfactometer, followed by chemical analysis via gas chromatography–mass spectrometry (GC-MS). The results indicate that 58.3% of adults sheltered in keel petals, while 76.7% of nymphs aggregated inside the diadelphous stamens. Thrips abundance on OPF in the morning was significantly higher than on PAF or PoAF, but did not differ significantly from that on CF. Olfactometric assays demonstrated a clear preference of MTU for OPF, which emitted a greater number and higher concentrations of volatile compounds compared to PAF, PAF-D, CF, and PoAF. Together, these findings reveal distinct spatiotemporal dynamics of thrips in relation to cowpea flower development, underscoring the role of floral age in driving host-switching behavior.

Bee pollination is an indispensable part of agricultural production and a crucial factor in maintaining ecosystem balance and biodiversity. Understanding foraging behavior and pollination effects is essential for the management of bee pollination. Over a two-year experiment, we evaluated the foraging behavior and pollination effects of bumblebee Bombus terrestris and Chinese honeybee Apis cerana cerana on cherries in orchards. Results showed that all bees exhibited enhanced foraging activity as daytime temperatures rose in early spring. However, the daytime foraging activity of bumblebees differs from that of Chinese honeybees. The number of bumblebees leaving the hive exhibited two peak periods, whereas Chinese honeybees showed only one peak period. Bumblebees had longer working hours and greater pollen-carrying capacity than Chinese honeybees. Undoubtedly, cherries pollinated by bees had higher yields, as indicated by a greater fruit setting rate and yield. Thus, as effective pollinators, their pollination significantly boosts production and presents a viable option for widespread use in cherry cultivation. However, the risk of biological invasion by exotic bumblebees cannot be overlooked before extensive use.

Orius nagaii is a highly effective natural enemy for controlling thrips, tetranychids, aphids, and various Lepidoptera pests. Nevertheless, the molecular mechanisms underlying its interactions with host pests remain unclear. Screening for optimal reference genes is a prerequisite for using reverse transcription–quantitative polymerase chain reaction (RT-qPCR) to investigate the interrelationship. Here, ten commonly used reference genes (Act, GAPDH, β-Tub, EF1-α, RPS10, RPS15, RPL6, RPL13, RPL32, and HSP90) were selected, and their expression stability across developmental stages, tissues, temperatures, and host conditions were evaluated using RefFinder, which uses multiple analytical approaches (NormFinder, geNorm, the ΔCt method, and BestKeeper). The findings suggested that the most reliable normalization can be achieved by selecting the two reference genes for all conditions, with the optimal pairs being RPS10 and RPL32 for the developmental stage, RPS10 and RPS15 for tissue, RPS10 and RPS15 for the host, and EF1-α and RPL13 for temperature. Also, the best and least stable reference genes were chosen to compare the relative transcript levels of the TBX1 in various tissues, which exhibited considerable variation. Our findings will significantly enhance the reliability of RT-qPCR and provide a foundation for further research on the expression patterns of crucial genes that are implicated in the interaction between O. nagaii and its host pests.

Orius nagaii is a highly effective natural enemy for controlling thrips, tetranychids, aphids, and various Lepidoptera pests. Nevertheless, the molecular mechanisms underlying its interactions with host pests remain unclear. Screening optimal reference genes is prerequisite for using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to investigate the interrelationship. Here, ten commonly used reference genes (Act, GAPDH, β-Tub, EF1-α, RPS10, RPS15, RPL6, RPL13, RPL32, and HSP90) were selected and evaluated the expression stability across developmental stages, tissues, temperature, and host conditions by RefFinder, which contains multiple analytical approaches (NormFinder, geNorm, the ΔCt method, and BestKeeper). The findings suggested that the most reliable normalization can be achieved by selecting the two reference genes for all conditions, with the optimal pairs were: RPS10 and RPL32 for developmental stage, RPS10 and RPS15 for tissue, RPS10 and RPS15 for host, and EF1-α and RPL13 for temperature. Also, the best- and least-stable reference genes were chosen to compare the relative transcript levels of the TBX1 in various tissues, which exhibited considerable variation. Our findings will significantly enhance the reliability of RT-qPCR and provide a foundation for further research on the expression patterns of crucial genes implicated in the interaction between O. nagaii and its host pests.

The agricultural pest Drosophila suzukii exhibits a strong preference for feeding on fresh fruits, demonstrating high adaptability to sugary environments. Meanwhile, high sugar levels stimulate insulin secretion, thereby regulating the steady state of sugar metabolism. Understanding the mechanisms related to sugar metabolism in D. suzukii is crucial due to its adaptation to these specific environmental conditions. The insulin signaling pathway is an evolutionarily conserved phosphorylation cascade with significant roles in development and metabolism. We observed that the activation of the insulin signaling pathway inhibited FoxO activity and downregulated the expression of Pepck, thereby activating glycolysis and reducing glucose levels. By contrast, inhibiting insulin signaling increased the FoxO activity and upregulated the expression of Pepck, which activated gluconeogenesis and led to increased glucose levels. Our findings demonstrated the crucial role of the insulin signaling pathway in mediating glucose metabolism through the FoxO–Pepck axis, which supports the ecological adaptation of D. suzukii to high-sugar niches, thereby providing insights into its metabolic control and suggesting potential strategies for pest management. Elucidating these molecular processes is important for understanding metabolic regulation and ecological specialization in D. suzukii.

Trialeurodes vaporariorum Westwood (greenhouse whitefly) are worldwide polyphagous pests of economic importance that damage solanaceous vegetables. Neonicotinoid pesticides and parasitoid Encarsia formmosa Gahan are the main management strategies applied worldwide, but precise control methods in greenhouse vegetables need to be developed to reduce the application amounts of pesticides and improve the suppression of whitefly populations. Therefore, we assessed the indoor acute toxicities and risk assessment of neonicotinoids for T. vaporariorum and E. formosa adults and pupae and compared the control effects of E. formosa and neonicotinoid acetamiprid. According to the acute toxicities results, most neonicotinoid insecticides were more toxic to E. formosa than T. vaporariorum, and pupae were much less susceptible than adults of both species. Moreover, acetamiprid had a low risk effect on E. formosa. Sole application of E. formosa and acetamiprid could effectively control T. vaporariorum, but their combined application resulted in antagonistic effects on the control of T. vaporariorum. The results showed that a combined application or sole use of E. formosa could reduce the use of insecticides, slow down the development of insecticide resistance in whiteflies, and improve the efficiency of controlling the growth of whitefly populations in greenhouse vegetable production.