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. 2021 Feb 12;10(2):405. doi: 10.3390/foods10020405

Dynamics of the Degradation of Acetyl-CoA Carboxylase Herbicides in Vegetables

Miroslav Jursík 1,*, Kateřina Hamouzová 1, Jana Hajšlová 2
Editor: Roberto Romero-González
PMCID: PMC7918062  PMID: 33673116

Abstract

(1) Background: Aryloxyphenoxy-propionates and cyclohexanediones are herbicides most widely used in dicot crops worldwide. The main objective of the study was to determine the dynamics of herbicide residues in carrot, lettuce, cauliflower, and onion in order to suggest a low level of residues in harvested vegetables. (2) Methods: Small plot field trials were carried out in four vegetables in the Czech Republic. The samples of vegetables were collected continuously during the growing season. Multiresidue methods for the determination of herbicide residues by LC-MS/MS were used. Non-linear models of degradation of individual herbicides in vegetables were calculated using the exponential decay formula. Action GAP pre-harvest intervals for the 25% and 50% maximum residue limit (MRL) and 10 µg kg−1 limit (baby food) were established for all tested herbicides. (3) Results: The degradation dynamics of fluazifop in carrot, onion, and cauliflower was significantly slower compared to quizalofop and haloxyfop. The highest amount (2796 µg kg−1) of fluazifop residues was detected in cauliflower 11 days after application. No residue of propaquizafop and cycloxydim was detected in any vegetable samples. (4) Conclusions: Aryloxyphenoxy-propionate herbicide (except propaquizafop) could contaminate vegetables easily, especially vegetables with a short growing season. Vegetables treated with fluazifop are not suitable for baby food. Lettuce and cauliflower treated by quizalofop are not suitable for baby food, but in onion and carrot, quizalofop could be used. Propaquizafop and cycloxydim are prospective herbicides for non-residual (baby food) vegetable production.

Keywords: herbicide residues, non-residual production, low-residual production, pesticide degradation in vegetables

1. Introduction

Aryloxyphenoxy-propionates (FOPs) and cyclohexanediones (DIMs) are the most commonly used leaf graminicides (herbicides against grass weeds) in dicotyledonous (dicot) crops [1,2,3]. Herbicides of both chemical groups block the conversion of acetyl-CoA to malonyl-CoA by inhibiting the activity of the enzyme acetyl-CoA carboxylase (ACCase). This inhibition of fatty acid synthesis blocks the production of phospholipids used in building new cell membranes required for cell growth [4]. Dicot plants are naturally tolerant of these herbicides because of an insensitive ACCase, but tank-mix combinations with other herbicides could cause great damage to treated crops, especially under unsuitable weather conditions [5].

FOPs are formulated and applied as an ester of their acids. Emulsifiable concentrate is a common formulation for these herbicides. After application, esters are rapidly converted to acids by carboxyesterase activity. Acid forms are readily translocated to the meristematic tissues through the phloem. This process inhibits the growth of young developing leaves of susceptible grass weeds [6]. Necroses of the growing points are visible two weeks after application depending on the temperature.

FOPs are applied post-emergently because they are taken up by the leaves of plant, but some herbicide will also fall to the soil [7]. The soil fate of FOPs will depend on soil pH, with slower degradation in alkaline soils [8]. There is also a concern of water being contamination with these herbicides, as documented in Greek surface waters with quizalofop [9] and Brazilian rivers with haloxyfop [10]. On the other hand, Mantzos et al. [11] showed minimal risk of the contamination of the soil and adjacent water by quizalofop. These herbicides had transient, harmful effects on most of the soil’s microbiological parameters [12].

Conventional farming practices include the use of pesticides within an integrated pest management program for crop protection against diseases, pests, and weeds. However, pesticides are potentially toxic to humans and can have both acute and chronic health effects, depending on the quantity and ways in which a person is exposed [13]. For this reason, it is necessary to model pesticide distribution in harvested crops [14]. Maximum residue limits (MRLs) for pesticides in crops were established by the European Union in a regulation of the European Commission [15] as the highest level of pesticide residues that are tolerated in food. Low-residual production is a designation for agricultural production where residues of used pesticides in harvested products are below the limit for a predetermined action threshold, for example 25% MRL or 50% MRL [13,16]. Furthermore, non-residue production is a classification for products with pesticide residues below the limit of 10 µg kg−1. This limit is currently used worldwide for baby foods [17]. Some FOPs (diclofop, haloxyfop, quizalofop) contain chlorine, and these herbicides could metabolize to chlorate, especially in carrots and potatoes. These would be unacceptable for baby food products [18].

Accumulation of pesticide residues in vegetables is less frequent than in fruits [19]. Within vegetables, pesticide residues are most widely detected in pepper and cucumber, while samples of lettuce, cauliflower, and carrots seldom contained pesticide residues [20,21]. This is not to say that residues are never detected in these vegetables. Elgueta et al. [22] and Skovgaard et al. [23] detected pesticide residues in 50% of lettuce samples with 16–20% of samples above the MRL. Santareli et al. [24] also detected many lettuce samples over the MRL in Italy. Even organically managed vegetables could be occasionally contaminated by pesticide residues, especially in countries where the control of pesticide use is less strict. For example, in Brazil, a large number of organic carrot samples contain pesticide residues [25].

Most of above-mentioned studies detected insecticides or fungicides in vegetables, but few studies have monitored the contamination of vegetables by herbicides. For example, Sing et al. [26] monitored pre-emergent herbicides in carrots, but no residue was detected. Similar results published by Saritha et al. [27] did not detect any residues of metribuzin in tomato. Khan et al. [28] detected residues of linuron in onion, carrot, and lettuce. There are a few cases where pendimethalin was detected in vegetables [29,30], especially in vegetables with a short growing season like lettuce [31] or kohlrabi [32]. Risk of contamination by FOP residues is quite high because late post-emergence application is on the label, but to our knowledge, no study has focused on the degradation dynamics of FOPs yet.

The main objective of this study was to determine the degradation dynamics of herbicide residues in carrot, lettuce, cauliflower, and onion to provide suggestions for low-residue production of harvested vegetables. The specific objectives of this work were (1) to quantify the concentration of herbicide residues in tested vegetables, (2) to develop recommendations for herbicide weed control for low-residual and non-residual vegetable production, and (3) to recommend the safest leaf graminicide for each tested vegetable.

2. Materials and Methods

Small plot field trials were carried out in carrot (variety Grivola), onion (variety Wellington), lettuce (variety Elenas), and cauliflower (variety Chamborg) in a field of the University of Life Sciences, Prague, the Czech Republic (300 m a.s.l., 50°7′ N, 14°22′ E) in 2012–2016. The region has a temperate climate with an annual mean air temperature of about 9 °C and a mean annual precipitation of about 500 mm. None of the tested herbicides were used in previous crops (potatoes). Each vegetable was grown in a separate growing area with specific agrotechnological requirements (soil preparation, fertilization, and irrigation). Common agricultural practices of the European and Mediterranean Plant Protection Organization were used. Experimental plots were arranged in randomized blocks. Plot size was 16 m2 (2 m × 8 m) for each vegetable. Crop density, row spacing, and planting/sowing times are given in Table 1.

Table 1.

Crop and plot arrangements.

Vegetable Crop Density (Plant m−2) Inter-Row Spacing (m) Date of Planting/Sowing
2012 2013 2014 2015 2016
carrot 90 0.5 25.3 20.4 31.3 21.4 28.4
onion 70 0.3 29.3 15.4 12.3 30.3 -
lettuce 10 0.3 28.3 9.4 27.3 - -
cauliflower 4 0.5 9.5 6.5 5.5 - -

The samples of vegetable (roots of carrot, bulbs of onion, leaves of lettuce and florets of cauliflower) were collected continuously during the growing season from the central part of each plot. There was a two-week interval between the first and second sampling and between the second and third sampling. A minimum of four plants was collected from one plot during each sampling term. The samples were stored at −20 °C until the extraction procedure.

All tested herbicides (Table 2) were formulated as emulsifiable concentrates. A small-plot sprayer, fitted with a Lurmark 015F110 nozzle, was used to apply the herbicides. The application pressure was 0.25 MPa, and the water volume applied was 300 L/ha. The maximum registered rates of all tested herbicides were used. Herbicides were applied post-emergently in two terms (Table 3).

Table 2.

Description of tested herbicides.

Active Ingredient (ai) Trade Name Concentration of ai (g L−1) Application Rate (g ha−1 ai) Manufacturer
cycloxydim Stratos Ultra 100 200 BASF
fluazifop Fusilade Forte 150 300 Syngenta
haloxyfop Gallant Super 104 104 Corteva
propaquizafop Agil 100 150 ADAMA
quizalofop Targa Super 100 250 Chemtura

Table 3.

Term of herbicide application in experimental years.

Vegetable Growth Stage Date of Herbicide Application
2012 2013 2014 2015 2016
carrot 5 TL 1 27.6 24.6 16.6 17.6 16.6
7 TL 9.7 7.7 23.6 30.6 28.6
9 TL - 15.7 7.7 - -
onion 6 L 2 11.6 7.7 11.6 17.6. -
9 L 27.6 22.7 7.7 13.7. -
lettuce 4 WAP 3 15.5 13.5 23.5 - -
6 WAP 25.5 29.5 3.6 - -
cauliflower 6 WAP 19.6 24.6 23.6 - -
8 WAP 27.6 7.7 7.7 - -

1 true leaves, 2 leaves, 3 weeks after planting.

Analyses of pesticide residues were performed by the testing laboratory of the University of Chemistry and Technology using the LC-MS/MS method accredited according to the EN ISO/IEC 17025 standard [33]. The analytical method used in this study is based on EN standards [34].

In brief, the following steps were performed: (i) alkaline hydrolysis (10 mL of acetonitrile and 2 mL of 5 M NaOH added to 10 g of homogenized sample, shaking 2 h at 40 °C); (ii) acidification (2 mL of 2.5 M H2SO4) and addition of 100 μL formic acid); (iii) QuEChERS like extraction (addition of 4 g MgSO4 and 1 g of NaCl; and internal standard, triphenylphosphate, then, intensive shaking; centrifugation to separate acetonitrile phase for further analysis). An aliquot of the upper organic layer was transferred to a vial for LC-MS/MS. An Acquity UPLC HSS T3 analytical column (100 mm × 2.1 mm, 1.8 μm particle size, Waters, USA) and mobile phases consisting of (A) water with 5 mM ammonium formate/0.1% (v/v) formic acid and (B) methanol were used for ultra-high performance liquid chromatography (U-HPLC) in extract separation. A triple quadrupole mass spectrometer (Xevo TQ-S, Waters, Milford, MA, USA) with electrospray ionization in a positive ion mode (ESI+) was used for the final identification and quantification of herbicide residues (Table 4). The method used for residues analysis was fully validated in line with the requirements stated in the European Commission’s guidance document SANTE/12682/2019 [35]. Limits of quantification together with maximum residue limits (MRLs) established by Regulation EC 396/2005, are summarized in Table 5. The extended uncertainty of measurement at 0.01 mg/kg level was 15%. To avoid results bias due to matrix effects, matrix-matched calibration was used.

Table 4.

Mass spectrometric detector setting.

Analyte Quantification Cone Collision Confirmation Cone Collision
Transition (m/z) (V) (V) Transition (m/z) (V) (V)
Cycloxydim 326.3 > 280.2 30 13 326.3 > 180.4 30 25
Fluazifop 328.2 > 282.1 35 20 328.2 > 91.2 35 30
Haloxyfop 362 > 315.8 27 18 362 > 91 27 30
Propaquizafop 444.2 > 100.04 30 20 444.2 > 56.2 30 15
Quizalofop 344.46 > 298.83 54 18 346.46 > 300.83 54 18

Table 5.

Limits of quantification and maximum residue limit for tested herbicides and vegetables.

Herbicide Carrot Onion Lettuce Cauliflower
LOQ 1 MRL 2 LOQ MRL LOQ MRL LOQ MRL
µg kg−1
cycloxydim 2 5000 - 3000 2 1500 2 5000
fluazifop 2 400 1 300 1 20 1 10
haloxyfop 2 90 2 200 - 10 - 10
propaquizafop 2 200 2 40 2 400 2 200
quizalofop 2 200 1 40 1 400 1 200

1 limit of quantification, 2 maximum residue limit.

The generated data was processed using MassLynx software version 4.1 (Waters Corporation, Milford, USA). External quality control was ensured by regular participation in proficiency tests of the European Commission’s Proficiency Testing Program.

The obtained data were processed in R project version 3.6.1 (R Core Team, 2019) and subjected to the comparison analysis (t-test) to reflect the differences in experimental years. Non-linear models of degradation of individual herbicides in crops were calculated using the exponential decay formula in drc package using the following equation:

y = a(exp(−x/b)) (1)

where y was the amount of active ingredient (µg kg−1), x was number of days after herbicide application, parameter b > 0 determined the steepness of decay, and a was the upper limit. Goodness of fit was assessed by F-test. All tests were performed using a significance level of 0.05. Parameters of models and the analytical results are shown in Table 6.

Table 6.

Parameters of the exponential decay model and analytical results.

Vegetable Active Ingredient Parameter
a 1 SE 2 b 1 SE F-Test 3 p-Value
carrot fluazifop 804.09 121.91 18.82 3.39 0.55 0.91
quizalofop 78.56 13.19 32.89 7.85 1.67 0.16
haloxyfop 153.15 19.57 17.66 2.43 0.94 0.64
onion fluazifop 458.81 67.95 10.30 1.18 2.28 0.12
quizalofop 108.76 25.03 9.24 1.73 0.40 0.90
haloxyfop 81.98 12.08 18.57 2.94 7.57 0.13
lettuce fluazifop 1194.64 617.99 9.45 3.77 8.97 0.30
quizalofop 262.89 120.05 29.10 21.72 3.91 0.14
cauliflower fluazifop 5905.47 800.93 12.4 1.31 7.77 0.12
quizalofop 107.99 33.25 26.77 10.17 4.95 0.18

1 parameters of model - a represents upper limit of the curve, b is the steepness of the decay, 2 standard error, 3 significance p = 0.05.

Action pre-harvest intervals for the 50% MRL (APHI50), 25% MRL (APHI25), and 10 µg kg−1 limit (APHIBF) were established for fluazifop and quizalofop in all four vegetables and for haloxyfop in onion and carrot. The above-mentioned equation was used to calculate the APHI (as variable x). For non-residue production, a concentration of 10 µg kg−1 was used. A given percentage of the MRL (50 and 25%) was calculated for low-residue production. The calculated value of APHIs was extended by one-third depending on a confidence interval of the model for each herbicide with the aim of increasing the reliability of APHIs, i.e.,

APHI = t + (1/3t). (2)

The MRL parameter differs according to the active ingredient of the herbicide and the vegetable. The PHI was used when the computed APHI value extended by one-third was lower than the compulsory PHI as indicated in the list of registered products [36].

3. Results

3.1. Carrot

The degradation dynamics of fluazifop in carrot were significantly slower compared to quizalofop and haloxyfop. Relatively high differences in the degradation dynamics of fluazifop were recorded among the experimental growing season and application term, nevertheless, the differences were not statistically significant. The highest concentrations of fluazifop (above 500 µg kg−1) in carrot were detected in the first two weeks after application. The degradation dynamics of quizalofop and haloxyfop were similar and any analyzed samples of onion did not contain more than 150 µg kg−1 (Figure 1). For fluazifop, quizalofop, and haloxyfop, the values of APHI50 were shorter than PHI. Similarly, the values of APHI25 for quizalofop and haloxyfop (25 and 45 days, respectively) were shorter than PHI (45 and 56 days, respectively). In such cases, the APHI was not relevant. While modeling the quizalofop curve, the negative value appeared. It was due to low observed values in the experiment and high MRL. The longest APHIBF (110 days) was calculated for fluazifop (Table 7). Any residue of propaquizafop and cycloxydim was not detected in any sample of carrot, regardless of the application term and year of sampling.

Figure 1.

Figure 1

Degradation dynamics of fluazifop, quizalofop, and haloxyfop in carrot. Mean values with error bars representing standard error of the mean.

Table 7.

Active pre-harvest interval for tested herbicides in tested vegetables for current MRL.

Vegetable Active Ingredient MRL 1
(µg kg−1)
Model (µg kg−1) PHI 2
(Days)
APHIBF 3
(Days)
APHI25 4
(Days)
APHI50 4
(Days)
carrot fluazifop 400 13.14 49 110 52 35
quizalofop 200 −0.81 5 45 55 25 12
haloxyfop 90 9.38 56 64 45 29
onion fluazifop 300 4.38 28 53 25 15
quizalofop 40 9.24 42 29 29 21
haloxyfop 200 −9.29 5 28 47 15 2
lettuce fluazifop 20 38.64 42 60 69 60
quizalofop 400 5.22 30 71 31 19
cauliflower fluazifop 10 79.13 56 105 128 5 117 5
quizalofop 200 2.57 70 68 33 18

1 maximum residue limit, 2 pre-harvest interval, 3 active pre-harvest interval for baby food (10 µg kg−1), 4 active pre-harvest interval for low-residual production (25, resp. 50% MRL, 5 value is less than active pre-harvest interval for baby food (10 µg kg1) due to low MRL, 5 Due to the low observed values in experiment and high MRL value, the model results in some negative predictions for quizalofop (carrot) and haloxyfop (onion).

3.2. Onion

Fluazifop showed the slowest degradation in onion, especially during the first four weeks after application. The highest concentration of fluazifop (235 µg kg−1) in onion was detected 7 days after application. The degradation dynamics of quizalofop and haloxyfop was similar and all analyzed samples of onion contained no more than 70 µg kg−1 (Figure 2). For quizalofop, the calculated APHI25 was equal to the APHIBF due to a low MRL (40 µg kg−1). For fluazifop and haloxyfop, the APHI50 and APHI25 were shorter than PHI. Modeled values of haloxyfop reached a negative value (Table 6); this is due to two facts. First, the MRL established by authorities is quite high and, second, the observed values did not reach such a high value. For quizalofop, the APHIBF (29 days) was shorter than PHI (42 days). In such cases, the APHI was not relevant (Table 7). Incidence of propaquizafop residue was not detected in any tested onion sample. Cycloxydim was not tested in onion.

Figure 2.

Figure 2

Degradation dynamics of fluazifop, quizalofop, and haloxyfop in onion. Mean values with error bars representing standard error of the mean.

3.3. Lettuce

During the first two weeks after application, fluazifop showed slower degradation in lettuce compared to quizalofop (Figure 3). The degradation dynamics of fluazifop were affected by the lettuce head size at the time of application. The highest concentration of fluazifop (350–550 µg kg−1) in lettuce was detected when herbicide was applied on almost ripened heads. In contrast, lettuce head size had no effect on quizalofop degradation. For fluazifop, the calculated APHI50 and APHI25 were equal and longer than APHIBF (60 days) due to a low MRL (20 µg kg−1). For quizalofop, the APHI50 was not relevant because it is shorter than PHI. APHIBF for quizalofop was 71 days (Table 7). Residues of propaquizafop and cycloxydim were not detected in any tested lettuce sample. Haloxyfop was not tested in lettuce.

Figure 3.

Figure 3

Degradation dynamics of fluazifop and quizalofop in lettuce. Mean values with error bars representing standard error of the mean.

3.4. Cauliflower

The degradation dynamics of fluazifop in cauliflower were significantly slower compared to quizalofop in all growing seasons (Figure 4). The concentration of fluazifop in all analyzed cauliflower samples was 18–220 times higher than MRL (10 µg kg−1). In contrast, the concentration of quizalofop in cauliflower did not exceed 100 µg kg−1 in any tested sample. For fluazifop, the calculated APHI50 and APHI25 were not relevant due to a low MRL; APHI was 105 days (Table 7). For quizalofop, 18 (50% MRL), 33 (25% MRL), and 68 days (for baby food) APHIs were calculated, while the PHI is prescribed as 70 days for brassica vegetables. No residues of propaquizafop and cycloxydim were found in any tested cauliflower sample. Haloxyfop was not tested for in cauliflower.

Figure 4.

Figure 4

Degradation dynamics of fluazifop and quizalofop in cauliflower. Mean values with error bars representing standard error of the mean.

Days needed to reach the hypothetically set-up MRL values to 10, 20, 50, 100, 200, and 500 µg kg1, were calculated (Table 8). The aim here was to establish the baseline for a case in which authorities re-establish MRLs at new levels. Out of three active ingredients tested, the longest time was observed in fluazifop, regardless of the vegetable. In most cases, the model crops used in this study will obtain an MRL equal to 100 µg kg−1.

Table 8.

Hypothetical pre-harvest interval for different MRL.

Vegetable Active Ingredient MRL 10 1
(Days)
MRL 20 2
(Days)
MRL 50 3
(Days)
MRL 100 4
(Days)
MRL 200 5
(Days)
MRL 500 6
(Days)
carrot fluazifop 110 70 57 52 26 9
quizalofop 55 45 15 12 x x
haloxyfop 64 36 20 10 x x
onion fluazifop 53 32 23 21 9 x
quizalofop 29 16 7 1 x x
haloxyfop 47 26 9 1.26 x x
lettuce fluazifop 60 39 34 31 17 8
quizalofop 71 65 48 31 8 x
cauliflower fluazifop 105 83 75 67 42 31
quizalofop 68 45 21 18 x x

1 maximum residue limit 10 µg kg−1; 2 20 µg kg−1; 3 50 µg kg−1; 4 100 µg kg−1; 5 200 µg kg−1; 6 500 µg kg−1. In some cases, the calculated parameters reached value < 0, this is not meaningful from practical point of view, so these are marked as x.

4. Discussion

Of the tested leaf graminicides, fluazifop exhibited the slowest degradation dynamics in all tested vegetables. The highest amount (2796 µg kg−1) of fluazifop residues was detected in cauliflower 11 days after application. Similar degradation dynamics of fluazifop were recorded by Doohan et al. in strawberry [37]. In their study, residues of fluazifop ranged between 50 and 3240 µg kg−1 within 12–28 days after application. The half-life of fluazifop in vegetable leaf (lettuce and spinach) was relatively low and ranged from 1.11 to 2.27 days [38]. Balinova and Lalova detected no residues of fluazifop in soybean seeds after harvest [39]; however, Sondhia detected a relatively high concentration of fluazifop both in straw (472–702 µg kg−1) and seeds (297–312 µg kg−1) of soybean after post-emergence application [40]. Risk of contamination of cauliflower and lettuce by fluazifop residue is relatively high due to the low MRL (10, resp. 20 µg kg−1) and slow dissipation. Moreover, the growing period of these vegetables is short (less than 60 days for lettuce and less than 90 days for cauliflower) and leaf graminicides are usually used 3–5 weeks after planting crops. The MRL for fluazifop in onion and carrot is considerably higher (300, resp. 400 µg kg−1), therefore, fluazifop could be used in these vegetables, along with canopies, for low-residual production (up to 25% MRL). Vegetables treated by fluazifop are not suitable for baby food due to the long APHI (53–110 days).

Concentration of quizalofop residues in all tested vegetable samples were below the MRL and did not exceed 400 µg kg−1 in lettuce and 100 µg kg−1 in carrot, onion, and cauliflower. Relatively low quizalofop residues in groundnut plants (104 µg kg−1 30 days after application) were detected by Poonia et al. [41]. In their study, quizalofop residues decreased below detection limit (10 µg kg−1) 60 days after application. In blueberry fruit, no residues were detected two weeks after split application of quizalofop [42]. The half-life of quizalofop in potato leaves ranged from 0.04 to 13.1 days in study of Wang et al., and no residues were detected in leaves and tubers at harvest [7]. Similar results were presented by Mantzos et al., who detected quizalofop residues in stems and leaves of sunflower 18 days after application, but no residues in inflorescences and seeds at harvest time [11]. In addition, in our study, the degradation dynamics of quizalofop was slower in leaves of lettuce compared to roots of carrot, tubers of onion, or florets of cauliflower. This theory confirms the study of Sahoo et al., where they reported a very short half-life of quizalofop in onion (0.85 day) and no residue was detected at harvest time [43]. The risk of contamination of tested vegetables by quizalofop residues is low because of the fast degradation dynamics. The calculated APHI for 25% MRL did not exceed PHI in any tested vegetable. Lettuce and cauliflower treated by quizalofop are not suitable for baby food due to long APHI (60, resp. 105 days), while onion and carrot could be treated by quizalofop (APHI for baby food 42, resp. 55 days).

A remarkably low quantity of residue was detected after application of haloxyfop. Only one sample of carrot (119 µg kg−1 4 days after application) exceeded the MRL. The degradation dynamics of haloxyfop in onion was fast and no onion samples contained more than 60 µg kg−1. However, concentration of haloxyfop residues in onion leaves could be significantly higher (100 and 800 µg kg−1 10 days after application) [44]. Our suggested APHIs for 25% MRL did not exceed PHIs in onion and carrot. APHIs for baby food in these vegetables were relatively long (47 and 64 days, respectively), but possible.

No residues of propaquizafop were detected in any tested vegetable sample. Moreover, Duhan and Sing did not detect any residues of propaquizafop (detection limit 3 µg kg−1) in cotton seeds and lint at harvest time [45]. No other relevant studies about the degradation dynamics of propaquizafop in vegetables have been published yet, such as the degradation dynamics of cycloxydim. Both herbicides seem to be prospective for non-residual (baby food) vegetable production.

In comparison to other herbicides in vegetables, only residues of the soil active herbicide pendimethalin have frequently contaminated lettuce [31]. Contamination of cauliflower by herbicide clomazone, clopyralid, picloram, quinmerac, metazachlor, pyridate, dimethachlor, dimethenamid-P, S-metolachlor, napropamide, and pendimethalin was not detected in the study of Suk et al. [46]. This herbicide is usually applied shortly before or after planting/sowing and, therefore, a longer PHI could be achieved. Applications of leaf graminicides were carried out later, resulting in a PHI that was actually shorter. The main result of this study is that aryloxyphenoxy-propionate herbicides (except propaquizafop) could contaminate vegetables easily, especially vegetables with a short growing season.

5. Conclusions

Aryloxyphenoxy-propionate herbicide (except propaquizafop) could contaminate vegetables easily, especially vegetables with a short growing season. Vegetables treated with fluazifop are not suitable for baby food. Lettuce and cauliflower treated by quizalofop are not suitable for baby food, but in onion and carrot, quizalofop could be used. Propaquizafop and cycloxydim are prospective herbicides for non-residual (baby food) vegetable production.

Acknowledgments

Authors very thank Theresa Piskackova from North Carolina State University for proofreading of the manuscript. Field experiments were carried out on Demonstrational and Experimental Centre of Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague.

Author Contributions

Conceptualization, M.J.; methodology, M.J., K.H. and J.H.; software, K.H.; formal analysis, J.H.; investigation and resources, M.J.; writing—original draft preparation, M.J.; writing—review and editing, K.H.; visualization, K.H.; supervision, M.J.; project administration, M.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Agriculture of Czech Republic, grant number QK 21020238 and by the “National Programme of Sustainability I”—NPU I LO1601.

Institutional Review Board Statement

Non applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Footnotes

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