,The soybean aphid (Aphis glycines) is an insect pest of cultivated soybeans (Glycine max). Several genes with resistance to A. glycines (i.e. Rag genes) have been identified in soybean. Virulent strains of soybean aphid are able to overcome the resistance and colonize soybeans having one or more Rag genes. It is important to classify virulent strains of soybean aphids in evaluating soybean lines in order to develop cultivars with durable resistance. The files presented here report the number of soybean aphids on soybean lines that differed in the Rag genes they contained. Two colonies of soybean aphid were tested.,Tests were conducted separately against the two soybean aphid colonies, which were maintained on soybean plants at North Central Agricultural Research Laboratory (NCARL), USDA-ARS, Brookings, South Dakota, USA, largely according to procedures described in Hesler and Tilmon (2018). The first colony was established from a single aphid collected near Volga, South Dakota, USA in 2016 and designated as ‘Volga16’ (Conzemius et al. 2019). It was reared on soybean cultivar ‘LD12R12-15805Ra’ (Rag1+Rag2 pyramid; University of Illinois, Urbana-Champaign, IL, USA).,A second colony designated ‘Accrue’ was derived from a colony originally established from a single first instar isolated from aphids collected at Urbana, IL, USA, and initially reared in Urbana (‘Urbana clone’; Hill et al. 2004). This colony was established as an avirulent soybean aphid colony (Hill et al. 2004). A series of sequential colonies from the initial colony was established, in order, at The Ohio State University, Wooster, OH, USA; Iowa State University, Ames, IA, USA; South Dakota State University, Brookings, SD, USA; and finally, in 2018 at NCARL. Although established as an ostensibly avirulent colony derived from the ‘Urbana clone’ colony, it was unexpectedly virulent against a known resistant accession, LD05R-16137 (containing Rag1), in initial screening tests.,Two separate no-choice tests were run for each soybean aphid colony. Each test consisted of seven soybean lines. Six had one or more Rag genes: 19APH18 (Rag1), 19APH25 (Rag2), 19INC (Rag3), 19APH29 (Rag4), 19APH30 (Rag6), 19APH09Rag12 (a Rag1+Rag2 pyramid); and ‘Titan,’ an aphid-susceptible soybean cultivar (Diers et al. 1999). Two-week-old, unifoliate-stage soybean plants growing in plastic pots (6 cm top diameter, 4 cm bottom diameter, 5.7 cm height) were each infested with 10 apterous adult soybean aphids and covered with a clear plastic, ventilated, cylindrical tube. After 20 days in an environmental chamber, the shoots of test plants were clipped at soil level, placed individually in sealable plastic bags, and stored in a freezer. Plants were removed over the next few days, and the aphids on them were counted. The data are contained in separate files—one for each of two soybean aphid colonies.,

,The soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae), is native to Asia where it is an occasional pest of soybean, Glycine max (L.). Aphis glycines was found during 2000 in North America and since then has spread throughout much of the area where soybean is grown. In Asia, A. glycines seldom reaches damaging levels; however in North America, it has become the most important insect pest of soybean, decreasing yields and incurring large control costs. Field surveys and exclosure experiments in China showed that natural enemies can limit soybean aphid abundance. A project to find, evaluate, and introduce Asian natural enemies into North America was initiated in 2001, with an emphasis on parasitoids. To ensure that introductions of exotic parasitoids would have minimum impact on non-target species, we tested host specificity of all candidates for introduction. These data sets provide results of no-choice laboratory experiments on host specificity of 13 populations in seven species from three species complexes in the genus Aphelinus (Hymenoptera: Aphelinidae). They also provide results of experiments on the mechanisms of host specificity in three parasitoid species with narrow host ranges.,See the included README file list for more details on methods and citations for these data files.,,

,Aim of Dataset,In this work, we performed a two-year latitudinal biosurveillance program for Prostephanus truncatus (Horn) (Coleoptera: Bostrichidae), related bostrichids, and Sitophilus spp. (Coleoptera: Curculionidae) in and around grain production and some natural areas to evaluate how landscape elements, latitude, and season affected their spatiotemporal dynamics.,Sampling locations & traps,The biosurveillance program was conducted by use of a trapping network in central North America in 2021 and 2022 and also in Greece in 2022. Trapping locations were selected along a latitudinal series across major grain-producing states in central North America from 19.6 to 46.8° N, including Estado de México in México, Texas, Oklahoma, Kansas, Nebraska, South Dakota, and North Dakota (Figure 1; Supplementary Table 1). The number of sites was expanded in 2022 compared to 2021 to provide a more comprehensive picture. At each location, we set up three-trap transects in each of two to three habitats: (1) near row crops (e.g., wheat, maize or soybean), (2) near a food storage facility (e.g. bins, elevator, or processor), and (3) in a natural habitat with no grain source nearby. Pitfall traps (Storgard Dome™ traps, Trécé, Inc., Adair, OK, USA) and 4-funnel Lindgren traps (Bioquip, Rancho Dominguez, CA, USA) spaced 5–10 m apart with a vented collection cup (9.5 × 15.2 cm D:H) at the base were used. The Lindgren traps included a 9 cm (D) piece of 0.4% w/w deltamethrin-incorporated netting or a 1-inch piece of No-Pest Strip (Hot Shot, Reynold’s Consumer Products, Lake Forest, IL) as the kill mechanism, as these have successfully been used in traps in the past (Wilkins et al. 2021). There were either three or four Lindgren or four pitfall traps in a given transect. The Lindgren traps were baited with a commercial formulation of male-produced P. truncatus aggregation pheromone (IL-953, Insects Limited, Westfield, IN, USA), Sitophilus spp. aggregation pheromone separately (IL-703, Insects Limited), multi-species pheromone lures for the cigarette beetle, Lasioderma serricorne (F.) (Coleoptera: Anobiidae), the Indian meal moth, Plodia interpunctella (Hübner) (Lepidoptera: Pyralidae), and Trogoderma spp. (Coleoptera: Dermestidae) (IL-708, Insects Limited), and a R. dominica pheromone septa (Item#3158, Trece, Inc., Adair, OK, USA). A batch of lures was purchased in May 2021, and another batch was purchased in April 2022. The pitfall trap only contained the Sitophilus spp. and/or P. truncatus lure. We also added a small amount of maize or wheat to keep insects in the pitfall trap based on synergized response with food cues + pheromones for Sitophilus spp. (Trematerra and Girgenti 1989). The traps were deployed for 7-d periods either on a weekly or monthly basis depending on location from 14 June to as late as 7 Dec 2021 and 4 May to 6 Dec 2022. In Greece, the same protocol as above was utilized in a compressed timeframe consisting of 4 weeks during the key maize harvest in September 2022 at 4 sites between Volos and Thessaloniki (Central and Northern Greece).,Insect identification and specimen deposition,Insects were identified to species or genus where possible for all specimens using the USDA and Canadian taxonomic keys for stored product insects (Bousquet 1990; USDA 1991). Each trap capture was noted separately along with identifying information, and the abundance of P. truncatus, P. punctatus, other Bostrichidae, and Sitophilus spp. (including S. zeamais and S. oryzae) were recorded. Insects were identified using a dissecting microscope (SMZ18, Nikon Inc., Tokyo, Japan) at 30 x magnification. All specimens for project were deposited at the Kansas State University Museum of Entomological and Prairie Arthropod Research in the Department of Entomology.,,

,This dataset was generated from soybean (Glycine max) field trials conducted at the West Tennessee Research and Education Center in Jackson, TN and at the Research and Education Center at Milan in Milan, TN as well as from molecular marker screening conducted at the West Tennessee Research and Education Center in Jackson, TN.,Table 3 includes measured data for height, yield, and seed size, and rating data for lodging and seed quality for JTN-5110, 5601T, and select other released germplasm lines and cultivars tested in replicated breeder yield trials in Jackson and Milan, TN from 2010-2016, excluding 2014. This data may be useful in measuring yield gain in future releases of soybean germplasm or cultivars with broad resistance to soybean cyst nematode (SCN; Heterodera glycines). This data should not be used to measure yield gain for elite high-yielding cultivars that do not have broad cyst nematode resistance.,Table 5 includes rating data for JTN-5110 and soybeans with established SCN resistance from simple sequence repeat (SSR) markers: Satt309 and Sat_168, associated with rhg1 on chromosome 18; Sat_162, associated with Rhg4 on chromosome 8; and Satt574, associated with cqSCN-005 on chromosome 17. This data may be useful in understanding the role of these molecular regions in SCN resistance for JTN-5110 and parent line Anand. This data should not be used to draw broad conclusions about cyst nematode resistance, in general.,Table 7 includes rating data for JTN-5110 and check cultivars from frogeye leafspot (caused by Cercospora sojina) field disease screenings conducted in Milan, TN from 2010-2012. This data may be useful in measuring changes in frogeye leafspot incidence and severity in West Tennessee. This data should not be used to draw broad conclusions or represent different geographic areas.,,

,Diuraphis noxia, the Russian wheat aphid, has become a major pest of wheat and barley since first being detected in the western USA in 1986. However, it is rarely a pest in Eurasia, its area of origin, and research has shown that natural enemies can limit its abundance there. Among the most important of natural enemies of D. noxia in Eurasia are parasitoids in the genus Aphelinus. These data are results of laboratory experiments on host specificity of ten populations of seven species from two species complexes in the genus Aphelinus. Host specificity was not related to host plant species or the phylogenetic relatedness of the aphids or the parasitoids. While some species had very broad host ranges and others had intermediate host ranges, Aphelinus hordei had a very narrow host range, being restricted primarily to species in the genus Diuraphis, and especially D. noxia. We also report the results of experiments on the mechanisms of this host specificity. Most of the host specificity of A. hordei can be explained by differences in the behavior of females when they encountered different aphid species. Females of A. hordei rarely approach, sting, oviposit or host feed on aphids outside the genus Diuraphis, and they oviposit most frequently in D. noxia. From these results, we conclude that A. hordei is an excellent candidate for introduction into the USA to control D. noxia.,

,Corn (Zea mays) is one of the most widely grown crops throughout the world. However, many corn fields develop pest problems such as corn borers every year that seriously affect its yield and quality. Corn's response to initial insect damage involves a variety of changes to the levels of defensive enzymes, toxins, and communicative volatiles. Such a dramatic change secondary metabolism necessitates the regulation of gene expression at the transcript level. This Data In Brief paper summarizes the datasets of the transcriptome of corn plants in response to corn stalk borers (Ostrinia furnacalis) and/or methyl jasmonate (MeJA). Altogether, 39, 636 genes were found to be differentially expressed. The sequencing data are available in the NCBI SRA database under accession number SRS965087. This dataset will provide more scientific and valuable information for future work such as the study of the functions of important genes or proteins and develop new insect-resistant maize varieties. Includes supplementary tables and data in fasta and GTF format.,,

These are the data used in the manuscript "Unusual success, future uncertainty, and science needs for adaptive management of invasive plants in a US national park." The data were collected from 1988-2022. IPM_species_data.csv contains the hours spent and herbicide amounts used for a subset of managed species, and IPM_summary_data.csv contains the total number of species managed, number of sites, hours spent, and herbicide amounts used.

,A panel of single nucleotide polymorphisms (SNPs) for 363 common bean accessions was generated. A genome-wide association study (GWAS) was applied to detect SNPs significantly associated with resistance to Heterodera glycines (HG) also known as the soybean cyst nematode (SCN) in the core collection of common bean, Phaseolus vulgaris. There were 84,416 SNPs identified in 363 common bean accessions.,,

,Information on crop genotype- and phenotype-metabolite associations can be of value to trait development as well as to food security and safety. The unique study presented here assessed seed metabolomic and ionomic diversity in a soybean (Glycine max) lineage representing ~35 years of breeding (launch years 1972–2008) and increasing yield potential. Selected varieties included six conventional and three genetically modified (GM) glyphosate-tolerant lines. A metabolomics approach utilizing capillary electrophoresis (CE)-time-of-flight-mass spectrometry (TOF-MS), gas chromatography (GC)-TOF-MS and liquid chromatography (LC)-quadrupole (q)-TOFMS resulted in measurement of a total of 732 annotated peaks. Ionomics through inductively-coupled plasma (ICP)-MS profiled twenty mineral elements. Orthogonal partial least squares-discriminant analysis (OPLS-DA) of the seed data successfully differentiated newer higher-yielding soybean from earlier lower-yielding accessions at both field sites. This result reflected genetic fingerprinting data that demonstrated a similar distinction between the newer and older soybean. Correlation analysis also revealed associations between yield data and specific metabolites. There were no clear metabolic differences between the conventional and GM lines. Overall, observations of metabolic and genetic differences between older and newer soybean varieties provided novel and significant information on the impact of varietal development on biochemical variability. Proposed applications of omics in food and feed safety assessments will need to consider that GM is not a major source of metabolite variability and that trait development in crops will, of necessity, be associated with biochemical variation.,,