Agamermis (Nematoda: Mermithidae) Infection in South Carolina Agricultural Pests.

Native and invasive stink bugs (Hemiptera: Pentatomidae) and the closely related invasive Megacopta cribraria (Hemiptera: Plataspidae) are agricultural pests in the southeastern United States. Natural enemies, from various phyla, parasitize these pests and contribute to population regulation. We specifically investigated Nematoda infections in pentatomid and plataspid pests in one soybean field in South Carolina in 2015. Nematodes were identified through molecular and morphological methods and assigned to family Mermithidae, genus Agamermis. This study reports mermithid nematode infection in immature M. cribraria for the first time and provides the first mermithid host record for the stink bugs Chinavia hilaris, Euschistus servus, and another Euschistus species, and a grasshopper (Orthoptera: Acrididae) in South Carolina. The same Agamermis species infected all hosts. The broad host range and prevalence suggests that Agamermis may be an important contributor to natural mortality of pentatomid and plataspid pests. Previous mermithid host records for the Pentatomidae and Plataspidae worldwide are summarized. Further work is needed to assess the impact of infection on populations over a broader range of agricultural fields and geographic localities.

Developing Sampling Plans for the Invasive Megacopta cribraria (Hemiptera: Plataspidae) in Soybean.

Since its discovery in the southeastern United States, the invasive plataspid Megacopta cribraria (F.) (Hemiptera: Plataspidae) has infested soybean (Glycine max (L.) Merrill) fields in often very high numbers. To optimize sampling plans, sweep-net and beat-cloth sampling was conducted in soybean fields in South Carolina during 2012 and 2013. Across all fields, densities averaged 7.2 ± 0.5 (SEM) adults and 4.5 ± 0.4 nymphs per 20 sweeps and 5.5 ± 0.3 adults and 4.5 ± 0.3 nymphs per 1.83 m of row. Coefficients of Taylor's power law were used to generate sampling plans for population estimates and sequential sampling plans for pest management decision making. At an economic threshold of one nymph per sweep, optimum sample sizes were 184, 48, and 22 within 10, 20, and 30% of the mean with the sweep-net method. At the corresponding threshold for the beat cloth (24.7 nymphs per 1.83 m of row), optimum sample sizes were 239, 62, and 29 within 10, 20 and 30% of the mean, respectively. At all adult and nymph densities, fewer sweep-net samples were required for population estimations compared with the number of beat-cloth samples. Sequential sampling reduced the sample size required to reach a management decision for the sweep net and beat cloth compared with a fixed sampling plan. The sweep-net method was more cost reliable for population estimation at low densities of both life stages, with the beat cloth becoming more cost reliable as populations increased. The beat-cloth method was more cost reliable than sweep-net sampling across all densities and life stages for pest management practices. These results may be used by researchers, county Extension agents, consultants, and farm managers to both facilitate sampling and improve reliability of M. cribraria estimates for research purposes and for pest management.

Assessment of a Cross-Vane Trap as a Tool for Sampling the Invasive Megacopta cribraria (Hemiptera: Plataspidae) in Soybean with Associated Evaluations of Female Reproductive Status.

Megacopta cribraria (F.) (Hemiptera: Plataspidae) is an established pest of soybean, Glycine max (L.) Merrill, in the southeastern United States. Populations of this pest in soybean are typically estimated using sweep nets, a time-consuming procedure. Cross-vane traps may provide an alternative to using sweep nets. The relationship between trap and sweep-net sampling, and the effect of distance from field edges on M. cribraria densities were studied in 2013 and 2014. Adults were detected in the traps up to 3 wk before they were present in the sweep-net samples. Adults and nymphs collected from trap and sweep-net sampling decreased from the field edge toward the field interior. Across all dates and distances, there was a strong positive association between the two sampling methods (r = 0.60), but only 36% of location analyses by week showed significant association. Females collected using both sampling methods were dissected and rated based on egg development. Female populations of all reproductive maturities dispersed into soybean, but proportions varied with sampling method. Results provide a foundation for work into understanding dispersal cues, with implications for management in soybean. Cross-vane traps may serve as an early-season tool to monitor populations, but more studies are needed before robust sampling recommendations can be defined.