Potential botanical pesticides from Asteraceae essential oils for tomato production: Activity against whiteflies, plants and bees

Umpiérrez, María Laura; Paullier, J.; Porrini, Martín Pablo; Garrido, Melisa Paula; Santos, Estela; Rossini, Cármen

doi:10.1016/j.indcrop.2017.09.025

Cited by 26 publications

(20 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The complete composition of the EOs used in the bioassays was reported elsewhere [ 6 ]. Considering the main compound classes, the composition of both EOEb did not differ between the two plant collecting years (Chi-Square, Cramer’s V tests: χ2 = 0.81, df = 3, P = 0.85).…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The vapors from the EO of E . buniifolium (hereafter EOEb) showed fumigant activity against varroa mites with no topical and fumigant toxicity for honeybees in laboratory assays, as well as a moderate acaricidal activity in preliminary field trials [ 5 , 6 ]. These results prompted us to further investigate the potential sublethal effects of this EO on honeybees when supplied in the diet.…”

Section: Introductionmentioning

confidence: 99%

“…Varroa destructor is an ectoparasite that may contribute to the honeybee colony collapse disorder [4]. As a result of a prospecting program [5,6] for botanical acaricides [7] based on essential oils (EO), we selected the EO from aerial parts of Eupatorium buniifolium (Asteraceae) as a candidate for follow-up studies. The vapors from the EO of E. buniifolium (hereafter EOEb) showed fumigant activity against varroa mites with no topical and fumigant toxicity for honeybees in laboratory assays, as well as a moderate acaricidal activity in preliminary field trials [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Sub-lethal effects of the consumption of Eupatorium buniifolium essential oil in honeybees

et al. 2020

Self Cite

View full text Add to dashboard Cite

When developing new products to be used in honeybee colonies, further than acute toxicity, it is imperative to perform an assessment of risks, including various sublethal effects. The long-term sublethal effects of xenobiotics on honeybees, more specifically of acaricides used in honeybee hives, have been scarcely studied, particularly so in the case of essential oils and their components. In this work, chronic effects of the ingestion of Eupatorium buniifolium (Asteraceae) essential oil were studied on nurse honeybees using laboratory assays. Survival, food consumption, and the effect on the composition of cuticular hydrocarbons (CHC) were assessed. CHC were chosen due to their key role as pheromones involved in honeybee social recognition. While food consumption and survival were not affected by the consumption of the essential oil, CHC amounts and profiles showed dose-dependent changes. All groups of CHC (linear and branched alkanes, alkenes and alkadienes) were altered when honeybees were fed with the highest essential oil dose tested (6000 ppm). The compounds that significantly varied include n-docosane, n-tricosane, n-tetracosane, n-triacontane, n-tritriacontane, 9-tricosene, 7-pentacosene, 9-pentacosene, 9-heptacosene, tritriacontene, pentacosadiene, hentriacontadiene, tritriacontadiene and all methyl alkanes. All of them but pentacosadiene were up-regulated. On the other hand, CHC profiles were similar in healthy and Nosema -infected honeybees when diets included the essential oil at 300 and 3000 ppm. Our results show that the ingestion of an essential oil can impact CHC and that the effect is dose-dependent. Changes in CHC could affect the signaling process mediated by these pheromonal compounds. To our knowledge this is the first report of changes in honeybee cuticular hydrocarbons as a result of essential oil ingestion.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sub-lethal effects of the consumption of Eupatorium buniifolium essential oil in honeybees

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…8,9 Studies have shown that, plants are very good source of crop protectants against pests. 10,11 Neonicotinoid pesticides were first introduced in the mid-1990s and since then their use has grown rapidly so that they have become the most widely used class of insecticides in the world, with the majority being used as seed coatings. 12 As for the distribution of pesticides, it is concluded that lipophilicity is the chief determinant of pesticide distribution in sediment/water systems.…”

Section: Introductionmentioning

confidence: 99%

Application of Inverse QSAR/QSPR Analysis for Pesticides Structures Generation

Souyei

Seyd

Zaiz

et al. 2019

ACSi

View full text Add to dashboard Cite

The present work has focused on the application of the inverse-QSAR/QSPR problem for generating new structures of pesticides; this is in view of its extremely important and widespread use in several areas, particularly the agricultural field. For this reason, we implemented a methodology containing nine detailed successive steps that include a quantitative structure-activity/property relationship (QSAR/QSPR) study performed to develop a model that relates the structures of 190 pesticides compounds to their n-octanol-water partition coefficients (logk ow). We used the unique atomic signatures which represent the structures and acts as independent variables while the property (logk ow) as the dependent variable. The model was constructed using 130 molecules as training set, and predictive ability tested using 60 compounds. Modeling of logk ow of these compounds as a function of the signatures descriptors was established by multiple linear regression (MLR) using (LOO) cross-validation. As a result, a QSAR/QSPR equation with 14 atomic signatures was hereby obtained with a R 2 = 0.659273, Q 2 = 0.65617 and RMSE training = 0.930192, s = 1.37297 for the training set and in leave-one-out (LOO) cross-validation experiment set value, q 2 = 0.605676, RMSE LOO = 1.0936 respectively. In addition to all of the above, new structures have been generated for a range of pesticides that can be included as future search topics.

show abstract