Comparison of viral infection risk between organic and conventional crops of tomato in Spain

Lázaro, Elena; Pardo, Leandro; Roselló, José; Serra, J.; Muñoz, Marı́a Jesús; Canet, Rodolfo; Galipienso, Luis; Rubio, Luís

doi:10.1007/s10658-019-01843-7

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…Recientemente se está difundiendo la producción agroecológica de cultivos hortícolas en invernáculo como alternativa a la convencional y son muchos los testimonios sobre mejoras en el manejo de enfermedades y plagas. Si bien existen pocos trabajos científicos publicados, Lázaro et al (2019) reportan en la zona este de España (Provincias de Valencia y Alicante) menor incidencia de virosis, entre ellas TSWV, en cultivos de tomate agroecológicos. Fundamentan sus resultados en que bajo ese sistema existe una mayor diversidad de plantas que cambiaría la tradicional flora espontánea que acompaña al cultivo, el aumento de controladores biológicos del vector y el desarrollo del fenómeno de resistencia sistémica adquirida por el cambio de la microflora asociada al cultivo.…”

Section: Producción Agroecológica Y Enfermedades a Virus En Tomateunclassified

La Peste Negra Del Tomate Y Morrón: Aportes Experimentales Para Su Manejo Integrado

Tozzi¹

2021

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Section: Producción Agroecológica Y Enfermedades a Virus En Tomateunclassified

La Peste Negra Del Tomate Y Morrón: Aportes Experimentales Para Su Manejo Integrado

Tozzi¹

2021

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“…Under this specific context the posterior distribution can be calculated analytically. However, for more complex models such as ours, it needs to be approximated with numerical methods such as Markov chain Monte Carlo (MCMC) methods [21]. Then, the posterior distribution of the inference parameters is described by a random sample of parameter values.…”

Section: Parameter Estimation: Frequentist Vs Bayesian Approachmentioning

confidence: 99%

A General Framework to Deal with Uncertainty in Expert Panel Risk Assessment

Fraize-Frontier¹,

Albert²,

Boudia³

et al. 2018

ISEE Conference Abstracts

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Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application on the basis of risk associated with disease outbreak. Case-by-case evaluations demonstrated the performance of DSSs for disease control, but an overall assessment of the efficacy of DSSs is lacking. A literature review was conducted to synthesize the results of 67 experiments assessing DSSs. Disease incidence data were obtained from published peer-reviewed field trials comparing untreated controls, calendar-based and DSS-based fungicide programs. Two meta-analysis generic models, a "fixed-effects" vs. a "random-effects" model within the framework of generalized linear models were evaluated to assess the efficacy of DSSs in reducing incidence. All models were fit using both frequentist and Bayesian estimation procedures and the results compared. Model including random effects showed better performance in terms of AIC or DIC and goodness of fit. In general, the frequentist and Bayesian approaches produced similar results. Odds ratio and incidence ratio values showed that calendar-based and DSS-based fungicide programs considerably reduced disease incidence compared to the untreated control. Moreover, calendar-based and DSS-based programs provided similar reductions in disease incidence, further supporting the efficacy of DSSs.

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“…The indiscriminate use of synthetic pesticides results in the development of biotypes, makes minor pests become major pests, produces unfavourable environmental effects, and leads to the development of resistance against a number of insecticides, as well as resulting in ecological inequity, the contamination of food, and the pollution of the environment [ 1 , 2 ]. For instance, due to indiscriminate pesticide use, Helicoverpa armigera developed resistance to several pesticide groups [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Potato (Solanum tuberosum L.) Leaf Extract Concentration Affects Performance and Oxidative Stress in Green Peach Aphids (Myzus persicae (Sulzer)

Quandahor

Gou

Lin

et al. 2022

Plants

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This study was conducted to determine the aphicidal effect of a leaf extract of the Atlantic potato cultivar on the performance of green peach aphids. Three concentrations of the leaf extract (100, 75, and 50% potato extract), synthetic pesticide (Beta cypermethrin 4.5%), and distilled water (control) treatments were applied in a greenhouse experiment. The results showed that the synthetic pesticide, which was used as a standard check, caused the maximum aphid mortality, followed by the 100% potato leaf extract. Compared with the other botanical treatments, the 100% extract produced low mean rates of survival, aphids’ average daily reproduction, the number of nymphs per plant, and the number of nymphs per adult. This treatment also increased the accumulation of hydrogen Peroxide (H2O2) and malondialdehyde (MDA), glutathione-s-transferase, mixed-function oxidase, and carboxylesterase content in the green peach aphid. Moreover, the 100% extract also protected the host plants against green peach aphid attacks by demonstrating higher chlorophyll content, net photosynthesis, above-ground fresh weight, and above-ground dry weight of the host plant. This study demonstrates that the highest concentration of potato (Atlantic cultivar) leaf extract (100% extract) could be used as the appropriate dosage for the control of green peach aphids on potatoes, which could greatly reduce the use of synthetic insecticides and promote ecosystem sustainability.

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Comparison of viral infection risk between organic and conventional crops of tomato in Spain

Cited by 6 publications

References 37 publications

La Peste Negra Del Tomate Y Morrón: Aportes Experimentales Para Su Manejo Integrado

La Peste Negra Del Tomate Y Morrón: Aportes Experimentales Para Su Manejo Integrado

A General Framework to Deal with Uncertainty in Expert Panel Risk Assessment

Potato (Solanum tuberosum L.) Leaf Extract Concentration Affects Performance and Oxidative Stress in Green Peach Aphids (Myzus persicae (Sulzer)

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