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1.
Insects ; 14(7)2023 Jun 25.
Article in English | MEDLINE | ID: mdl-37504584

ABSTRACT

Transgenic corn and cotton that produce Cry and Vip3Aa toxins derived from Bacillus thuringiensis (Bt) are widely planted in the United States to control lepidopteran pests. The sustainability of these Bt crops is threatened because the corn earworm/bollworm, Helicoverpa zea (Boddie), is evolving a resistance to these toxins. Using Bt sweet corn as a sentinel plant to monitor the evolution of resistance, collaborators established 146 trials in twenty-five states and five Canadian provinces during 2020-2022. The study evaluated overall changes in the phenotypic frequency of resistance (the ratio of larval densities in Bt ears relative to densities in non-Bt ears) in H. zea populations and the range of resistance allele frequencies for Cry1Ab and Vip3Aa. The results revealed a widespread resistance to Cry1Ab, Cry2Ab2, and Cry1A.105 Cry toxins, with higher numbers of larvae surviving in Bt ears than in non-Bt ears at many trial locations. Depending on assumptions about the inheritance of resistance, allele frequencies for Cry1Ab ranged from 0.465 (dominant resistance) to 0.995 (recessive resistance). Although Vip3Aa provided high control efficacy against H. zea, the results show a notable increase in ear damage and a number of surviving older larvae, particularly at southern locations. Assuming recessive resistance, the estimated resistance allele frequencies for Vip3Aa ranged from 0.115 in the Gulf states to 0.032 at more northern locations. These findings indicate that better resistance management practices are urgently needed to sustain efficacy the of corn and cotton that produce Vip3Aa.

2.
Insects ; 12(1)2021 Jan 12.
Article in English | MEDLINE | ID: mdl-33445420

ABSTRACT

As more farmers adopt no- or reduced-tillage and/or cover crop land management practices, slugs have become more frequent pests of field crops, including soybean. Monitoring slugs visually is difficult because they are nocturnal, so several trapping methods have been developed, though comparisons of trap types are rare. The objective of this study was to compare trapping efficiency of two types of slug refuge traps in reduced-tillage soybeans following cover crop termination. We tested a traditional shingle trap and a modified shingle trap with a water-filled pitfall trap beneath it. Traps were deployed in 24 pairs in 2018 and 2019 in experimental soybean plots. We counted slug captures weekly over a 5-week time period each year. In 2018, we counted the total number of slugs under each trap type. In 2019, counts were categorized into specific trap components (shingle vs. in/on/under the pitfall). Temperature was also recorded in 2019. The modified shingle traps captured significantly more slugs than the traditional shingle traps, mainly due to the pitfall component. This trend was most pronounced as slug density decreased, suggesting that the modified shingle trap is a more sensitive sampling tool which may be particularly valuable when used for research purposes.

3.
Data Brief ; 22: 946-953, 2019 Feb.
Article in English | MEDLINE | ID: mdl-30740476

ABSTRACT

The dataset contains irrigation water quality parameters including iron concentrations (ferrous, ferric, and total) and turbidity measurements from a blueberry farm in southern New Jersey. Data was collected from May through June for 14 weeks in 2015 using a SMART3 Colorimeter™. Water samples were taken from the pump at the irrigation well and compared to samples taken from driplines at individual fields. All samples were analyzed in the field following the equipment׳s manual, except for ferric iron, which was calculated from the ferrous iron and total iron concentrations. Statistical analyses were performed on the dataset to understand the data. This data is being made available to increase the understanding of clogging in drip irrigation systems and to assist in the management of drip irrigation systems.

4.
J Econ Entomol ; 112(1): 266-276, 2019 02 12.
Article in English | MEDLINE | ID: mdl-30476177

ABSTRACT

The citrus mealybug, Planococcus citri (Risso) (Hemiptera: Pseudococcidae), is a major insect pest of greenhouse-grown horticultural crops. Applications of systemic insecticides as drenches to the growing medium are typically used by greenhouse producers to prevent or suppress citrus mealybug populations. A comprehensive study was conducted that included 11 experimental trials designed to assess the effects of growing medium applications of six systemic insecticides (azadirachtin, dinotefuran, flonicamid, imidacloprid, spirotetramat, and thiamethoxam) in preventing the establishment of and suppressing citrus mealybug populations on different plant species. The experimental trials included four plant species: Solenostemon scutellarioides, Gerbera jamesonii, Begonia × semperflorens-cultorum, and Salvia splendens, with six different cultivars grown in research greenhouses similar to those used in greenhouse production systems. In addition, feeding location (plant stem, leaf top, and leaf bottom) of citrus mealybugs on the various plants was also recorded. Overall, percent citrus mealybug mortality was consistently <50% (n = 255 to 1,598) for any treatment or rate of application; regardless if the systemic insecticides were applied preventatively or curatively. Percent citrus mealybug mortality did reach 78% (n = 36) for thiamethoxam at 8 times the label rate when plants were treated preventatively. Furthermore, none of the treatments prevented development of citrus mealybug F1 individuals to F2 generation egg-laying females on S. scutellarioides or G. jamesonii plants. Citrus mealybugs varied in their spatial distribution on the plant stem, leaf top, and leaf bottom with no noticeable trends. Therefore, based on the results of the study, systemic insecticides are not effective against the citrus mealybug in greenhouse production systems.


Subject(s)
Insecticides , Neonicotinoids , Planococcus Insect , Animals , Female , Limonins , Magnoliopsida , Male , Toxicity Tests
5.
Ecol Evol ; 7(17): 6680-6690, 2017 09.
Article in English | MEDLINE | ID: mdl-28904750

ABSTRACT

Temperature-based degree-day models describe insect seasonality and to predict key phenological events. We expand on the use of a temperature-based process defining timing of reproduction through the incorporation of female reproductive physiology for the invasive pentatomid species Halyomorpha halys, the brown marmorated stink bug. A five-stage ranking system based on ovary development was able to distinguish between the reproductive statuses of field-collected females. Application of this ranking method described aspects of H. halys' seasonality, overwintering biology, and phenology across geographic locations. Female H. halys were collected in the US from NJ, WV, NC, OR, and two sites in PA in 2006-2008 (Allentown, PA only) and 2012-2014. Results identify that H. halys enters reproductive diapause in temperate locations in the fall and that a delay occurs in developmental maturity after diapause termination in the spring. Modification of the Snyder method to identify biofix determined 12.7-hr photoperiod as the best fit to define initiation of reproduction in the spring. Applying the biofix, we demonstrated significant differences between locations for the rate at which the overwintering generation transition into reproductive status and the factors contributing to this difference require further study. For example, after including abiotic variables influencing development such as temperature and photoperiod (critical diapause cue), reproduction occurred earlier in OR and for an extended period in NJ. This data describe a method to investigate insect seasonality by incorporating physiological development across multiple regions that can clarify phenology for insects with overlapping generations.

6.
Appl Opt ; 46(5): 669-75, 2007 Feb 10.
Article in English | MEDLINE | ID: mdl-17279152

ABSTRACT

An optical calibration source for free-space systems with large beams is presented. It produces a 2 W, 370 mm beam tunable from 1545-1570 nm with a wavefront error of

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