scholarly journals Scenarios for exposure of aquatic organisms to plant protection products in the Netherlands : Part 2: Sideways and upward spraying in Dutch fruit crops (interim report)

2018 ◽  
Author(s):  
J.J.T.I. Boesten ◽  
◽  
H.J. Holterman ◽  
L. Wipfler ◽  
M.M.S. ter Horst ◽  
...  
Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 421 ◽  
Author(s):  
Alessandra Trinchera ◽  
Bruno Parisi ◽  
Valentina Baratella ◽  
Giancarlo Roccuzzo ◽  
Ivano Soave ◽  
...  

Recently, on the EU market, phosphonic acid residues were detected in many organic goods, although fosetyl-derivates and phosphite salts are not allowed by Reg. EC n. 889/2009. The BIOFOSF project “Solving phosphite issue in organic fruit and horticultural crops” aimed at verifying whether the phosphonic acid contamination could be due to unproper use of fertilizers/plant protection products by organic farmers, or to the plant’s ability to self-produce it spontaneously. Applying a participative approach, field case-studies on potato, rocket lettuce, and pears were carried out (organic vs. integrated systems). The ethyl-phosphonic acid and phosphonic acid were determined in soil, tubers, leaves, fruits, tree woody organs, used fertilizers, and plant protection products to correlate them to the applied farming management. Tested crops were not able to self-synthetize phosphonic acid, being its detection due to: (i) external inputs not allowed in organic farming; (ii) fertilizers/plant protection products allowed in organic farming, contaminated by fosetyl or phosphite. In addition, it was found that tree crops can stock the phosphite in their woody organs, then translocate it from branches to leaves and fruits over time. Regression models applied to field data showed that fruit trees decontamination could take more than 5 years, depending on the starting value of phosphonic acid contamination, useful to define the phosphite maximum residue limit in organic fruit crops.


2017 ◽  
Vol 47 (1) ◽  
Author(s):  
Alana Cristina Dorneles Wandscheer ◽  
Enio Marchesan ◽  
Marília Ferreira da Silva ◽  
Bruno Behenck Aramburu ◽  
Ricardo de David ◽  
...  

ABSTRACT: The intensive use of plant protection products in rice paddy fields ( Oryza sativa L.) has caused concern about the environmental impact on communities of non-target organisms that are natural inhabitants in these agroecosystems. The purpose of this review is to analyze the data currently available in the literature about some important fungicides and insecticides (such as trifloxystrobin, tebuconazole, tricyclazole, lambda-cyhalothrin, and thiamethoxam), which are currently used to control pests and diseases in rice paddy fields, as well as their effects on the community of non-target aquatic organisms.


Agronomy ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1070 ◽  
Author(s):  
Angelika Astaykina ◽  
Rostislav Streletskii ◽  
Mikhail Maslov ◽  
Svetlana Kazantseva ◽  
Elizabeth Karavanova ◽  
...  

There are many approaches of pesticide risk assessment. Despite their variation in difficulty and information complexity, all of them are intended to predict the actual pesticide risk as accurately as possible, i.e., to predict the behavior and hazard of a pesticide in the environment with high precision. The aim of this study was to develop a risk indicator of pesticide’s negative impact on soil and aquatic organisms. The developed pesticide risk indicator constitutes the sum of points of acute toxicity exposure ratio, long-term toxicity exposure ratio, and the bioconcentration factor. To develop the indicator, mathematical models were used; the input data included the soil and climate conditions of a specific region. Combining the data of pesticide toxicity in the environment allowed for a more accurate risk assessment in terms of using plant protection products. The toxicity and behavior in soil and water of 200 widespread pesticides were studied. It could be concluded that a mathematical model, PEARL 4.4.4, calibrated for region-specific soil-climate conditions, provides a relevant description of the natural translocation and decomposition of pesticides in soils. In addition, the output data of this model can be applied to calculate the risk indicators. The combination of these parameters with pesticide toxicity for non-target groups of organisms allows the risk indicator to be a universal tool for predicting the negative impact of pesticides on the environment at the regional level.


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