Glyphosate dynamics in a soil under conventional and no-till systems during a soybean growing season

Soracco, Carlos Germán; Villarreal, Rafael; Lozano, Luis Alberto; Vittori, Santiago; Melani, Esteban; Marino, Damián

doi:10.1016/j.geoderma.2018.02.041

Cited by 30 publications

(26 citation statements)

References 64 publications

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“…Glyphosate residue contamination has been demonstrated to correlate with sources of agricultural applications (Payne, 1992;Coupe et al, 2012) corresponding to GM crop cultivation (Barceló and Hennion, 1997;Skark et al, 1998;Australian Academy of Technological Sciences, and Engineering, 2002;Ramwell et al, 2002;Peruzzo et al, 2008;Aparicio et al, 2013;Davis et al, 2013;Mardiana-Jansar and Ismail, 2014;Lupi et al, 2015;Ronco et al, 2016;Caprile et al, 2017;, post-harvest chemical desiccation (Shipitalo and Owens, 2011;Soracco et al, 2018) or other technologies in intensive agriculture e.g., biomass production of industrial crops (Mardiana-Jansar and Ismail, 2014). Moreover, non-agricultural or urban uses of FIGURE 4 | Maximal residue levels (µg/l) of glyphosate (black) and AMPA (gray in parentheses) in surface and ground water reported worldwide.…”

Section: Exposure To Glyphosate-environmental and Food Analysis Humamentioning

confidence: 99%

Re-registration Challenges of Glyphosate in the European Union

Székacs

Darvas

2018

Front. Environ. Sci.

106

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Section: Exposure To Glyphosate-environmental and Food Analysis Humamentioning

confidence: 99%

Re-registration Challenges of Glyphosate in the European Union

Székacs

Darvas

2018

Front. Environ. Sci.

106

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“…Increased water infiltration and saturated hydraulic conductivity under long-term NT can be ascribed to a better soil surface protection as well as to a large and continuous pore system formed by soil fauna and root activity [56]. In contrast, some studies have reported a higher hydraulic conductivity in conventional tillage than NT or reduced tillage systems [57]. Sorptivity (S), defined as the ability of soil to imbibe water, is known to be related to the initial infiltration rate and influenced by the antecedent soil moisture content [58].…”

Section: Effect Of Tillage Systems On Soil Hydro-physical Propertiesmentioning

confidence: 99%

Soil Physical Properties and Soybean Yield as Influenced by Long-Term Tillage Systems and Cover Cropping in the Midsouth USA

et al. 2018

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A better understanding of the effect of long-term tillage management on soil properties and yield is essential for sustainable food production. This research aimed to evaluate the 37-year impact of different tillage systems and cover cropping on soil hydro-physical properties at 0-15 and 15-30 cm, as well as on soybean [Glycine max (L.) Merr] yield. The long-term experiment was located in Jackson, TN, and the different treatments involved in this study were no-tillage (NT), disk (DP), chisel (CP), moldboard plow (MP), and no-tillage with winter wheat [Triticum aestivum (L.)] cover crop (NTW). Forty-five days after the tillage operation, MP showed a comparable bulk density (BD) with NT, NTW, and CP at 0-15 cm depth. At surface depth, No-tillage systems increased cone penetration resistance (PR) by 12% compared with the reduced tillage systems, and 47% relative to MP. Wet aggregate stability (WAS) at surface depth was 27% and 36% greater for NT systems than for reduced and conventional tillage systems, respectively. Similarly, the geometric mean diameter (GMD) of aggregates was significantly higher under NT and NTW. However, water infiltration and field-saturated hydraulic conductivity (K fs ) did not differ significantly among tillage systems. The greatest soybean yield was obtained from CP and DP, producing 10% higher yield than NTW. Overall, 37 years of no-tillage, with or without simplified cover cropping did not result in a consistent improvement in soybean yield and soil physical properties with the exception of having improved soil aggregation.

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“…Soil hydraulic parameters were determined in June 2015, October 2015, December 2015, March 2016, and August 2016. A more detailed description of the experimental design can be found in Soracco et al (2018a).…”

Section: Site and Treatmentsmentioning

confidence: 99%

“…The results were expressed as μg of glyphosate or AMPA per kg of dry soil. A full description of the methodology can be seen in Soracco et al (2018a).…”

Section: Glyphosate and Ampa Determinationsmentioning

confidence: 99%

“…In Argentina, the use of this herbicide has increased drastically since its introduction, and it is the most commonly used herbicide in the country (Primost et al, 2017). In the last years, several authors reported the presence and the potential mobility of glyphosate and its main metabolite (aminomethyl phosphonic acid, AMPA) in Argentinian agricultural soils (Peruzzo et al, 2008;Lupi et al, 2015;Okada et al, 2016;Soracco et al, 2018a); however, these results are site-specific. Furthermore, the procedure for the quantification of these molecules is time-consuming and expensive (Baer and Calvet, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle

Villarreal¹,

Soracco²,

Salazar³

et al. 2020

Revista Brasileira De Ciência Do Solo

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Simulation models are efficient tools to predict the fate of different solutes in agricultural soils. This work aimed to compare measured and predicted glyphosate and AMPA (aminomethyl phosphonic acid; its main metabolite) contents in a soil under no-tillage (NT), and conventional tillage (CT); and to compare the predictions considering constant and time-variable hydraulic properties. Additionally, we evaluated the ability of the model to predict glyphosate and AMPA accumulation during the crop cycle. Hydrus 1-D code was used to predict the glyphosate and AMPA dynamics, considering constant and time-variable hydraulic properties during the studied crop cycle. In general, the prediction of glyphosate and AMPA distribution along the soil profile using HYDRUS 1-D was satisfactory; however, an overestimation of both compounds was observed in the first 0.20 m of the soil probably because of the preferential flow. Additionally, the accumulation process of glyphosate and AMPA in the soil during the crop cycle was underestimated by HYDRUS 1-D, as compared with the observed field data. Simulated data show that higher values of K 0 increase the risk of glyphosate and AMPA vertical transport. The inclusion of temporal variation of hydraulic properties in glyphosate and AMPA simulation did not improve the simulation performance, showing that the model is more sensitive to the parameters related to the solutes. From the obtained results, HYDRUS 1-D code allowed to predict glyphosate and AMPA dynamics reasonably well in agricultural soils of the Argentinean Pampas region and is a potential model to give support in the analysis of the environmental risk of leaching and soil contamination.

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Glyphosate dynamics in a soil under conventional and no-till systems during a soybean growing season

Cited by 30 publications

References 64 publications

Re-registration Challenges of Glyphosate in the European Union

Re-registration Challenges of Glyphosate in the European Union

Soil Physical Properties and Soybean Yield as Influenced by Long-Term Tillage Systems and Cover Cropping in the Midsouth USA

Glyphosate dynamics prediction in a soil under conventional and no-tillage systems during the crop cycle

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