Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-23T18:08:06.390Z Has data issue: false hasContentIssue false

Detection of florpyrauxifen-benzyl residues in tree nut crop leaves after simulated drift treatment

Published online by Cambridge University Press:  24 October 2024

Deniz Inci
Affiliation:
Postdoctoral Researcher, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
Bradley D. Hanson
Affiliation:
Professor of Cooperative Extension, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
Kassim Al-Khatib*
Affiliation:
Professor, Department of Plant Sciences, University of California, Davis, Davis, CA, USA
*
Corresponding author: Kassim Al-Khatib; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Rice herbicide drift poses a significant challenge in California, where rice fields are near almond, pistachio, and walnut orchards. This research was conducted as part of a stewardship program for a newly registered rice herbicide and specifically aimed to compare the onset of foliar symptoms resulting from simulated florpyrauxifen-benzyl drift with residues in almond, pistachio, and walnut leaves at several time points after exposure. Treatments were applied to one side of the canopy of 1- and 2-yr-old trees at 1/100X and 1/33X of the florpyrauxifen-benzyl rice field use rate of 29.4 g ai ha–1 in 2020 and 2021. Symptoms were observed 3 d after treatment (DAT) for pistachio and 7 DAT for almond and walnut, with peak severity at approximately 14 DAT. While almond and walnut symptoms gradually dissipated throughout the growing season, pistachio still had symptoms at leaf out in the following spring. Leaf samples were randomly collected from each tree for residue analysis at 7, 14, and 28 DAT. At 7 DAT with the 1/33X rate, almond, pistachio, and walnut leaves had florpyrauxifen-benzyl at 6.06, 5.95, and 13.12 ng g–1 fresh weight (FW) leaf, respectively. By 28 DAT, all samples from all crops treated with the 1/33X drift rate had florpyrauxifen-benzyl at less than 0.25 ng g–1 FW leaf. At the 1/100X rate, pistachio, almond, and walnut residues were 1.78, 2.31, and 3.58 ng g–1 FW leaf at 7 DAT, respectively. At 28 DAT with the 1/100X rate, pistachio and almond samples had florpyrauxifen-benzyl at 0.1 and 0.04 ng g–1 FW leaf, respectively, but walnut leaves did not have detectable residues. Together, these data suggest that residue analysis from leaf samples collected after severe symptoms may substantially underestimate actual exposure due to the relatively rapid dissipation of florpyrauxifen-benzyl in nut tree foliage.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Weed Science Society of America

Introduction

California produces the majority of the almonds, pistachios, and walnuts in the United States and nearly 85% of the global almond production (CDFA 2024; USDA-NASS 2024). Almond, pistachio, and walnut are planted on 1 million ha in California, with a gross value of more than US$5 billion (CDFA 2024). Moreover, the Sacramento Valley of northern California is the second largest rice production region in the United States, with more than 0.2 million ha of premium-quality, water-seeded rice (USDA-NASS 2024). California rice systems have unique advantages, such as the Mediterranean climate, high solar radiation, and highly mechanized, developed, and precise production practices, which result in ∼20% higher yields than other regions in the United States produce (Hill et al. Reference Hill, Williams, Mutters and Greer2006). In the complex cropping systems of California’s Sacramento Valley, rice is often planted adjacent to almond, pistachio, and walnut orchards.

Most California rice is pregerminated, aerially seeded into 10 to 15 cm of standing water, and maintained under continuous flooding until ∼1 mo before harvest (Brim-DeForest et al. Reference Brim-DeForest, Al-Khatib and Fischer2017a, Reference Brim-DeForest, Al-Khatib, Linquist and Fischer2017b; Hill et al. Reference Hill, Williams, Mutters and Greer2006). This water-seeded system was initially developed to suppress weeds that pose a significant challenge for California rice growers (Hill et al. Reference Hill, Williams, Mutters and Greer2006). In general, many of the most problematic rice weeds are well adapted to continuously flooded growing systems (Brim-DeForest et al. Reference Brim-DeForest, Al-Khatib, Linquist and Fischer2017b; Galvin et al. Reference Galvin, Inci, Mesgaran, Brim-DeForest and Al-Khatib2022) and capable of reducing rice yields by up to 90% unless successfully controlled (Brim-DeForest et al. Reference Brim-DeForest, Al-Khatib and Fischer2017a). Nearly all California rice production heavily depends on complex herbicide programs to control weeds, and because of the continuous flood conditions, these are applied mostly by aircraft (Espino et al. Reference Espino, Greer, Al-Khatib, Godfrey, Eckert, Fischer and Lawler2023).

California rice growers use herbicides at planting and typically also apply at least one additional postemergence herbicide later in the season, between May and mid-July (Galla et al. Reference Galla, Al-Khatib and Hanson2018a). During this time of year, almond trees are actively growing from terminal and lateral buds, spurs and shoots emerge, nut and kernel growth occurs, and translocation of photosynthates from the leaves to kernels begins (Kester et al. Reference Kester, Martin and Labavitch1996). In addition, pistachio trees begin shoot growth at this time of year, and buds form and extend from late May to early July (Ferguson and Kallsen Reference Ferguson and Kallsen2016). Simultaneously, walnut trees in the Sacramento Valley are actively growing, the nuts generally reach their final hull and shell size, and the accumulation of assimilates, such as alcohol-soluble sugars and proteins in the kernels, begins (Galla et al. Reference Galla, Al-Khatib and Hanson2018b, Reference Galla, Hanson and Al-Khatib2019; Pinney et al. Reference Pinney, Labavitch and Polito1998). Consequently, most rice herbicide applications coincide with the important and sensitive growth stages of almonds, pistachios, and walnuts, when these crops are highly vulnerable to off-target foliar herbicide exposure.

Concerns over off-target crop exposure to herbicides by either drift or accidental direct application have been stated among growers, crop consultants, and researchers (Al-Khatib et al. Reference Al-Khatib, Claassen, Stahlman, Geier, Regehr, Duncan and Heer2003; Bhatti et al. Reference Bhatti, Al-Khatib, Felsot, Parker and Kadir1995; Egan et al. Reference Egan, Barlow and Mortensen2014; UCIPM 2024). Factors that affect off-target herbicide drift include wind speed and direction, relative humidity, air temperature, droplet size, herbicide volatility, applicator distance from the edges of the treatment area, and release height of the herbicides (UCIPM 2016). Under most circumstances, off-target herbicide drift occurs below 1/100X to 1/33X of the field use rates (Al-Khatib and Peterson Reference Al-Khatib and Peterson1999; UCIPM 2016). Even at these low levels of drift, some rice herbicides, such as photosystem II inhibitors (Galla et al. Reference Galla, Al-Khatib and Hanson2018a), acetolactate synthase inhibitors (Galla et al. Reference Galla, Al-Khatib and Hanson2018a, Reference Galla, Al-Khatib and Hanson2018b, Reference Galla, Hanson and Al-Khatib2019), and growth regulators used in rice (Haring et al. Reference Haring, Ou, Al-Khatib and Hanson2022), can be of concern due to their widespread use and potential for injury to highly sensitive tree and vine crops.

In plants, auxins are generally responsible for cell division, elongation, and growth and for the development of vascular tissue, floral meristem, leaf initiation, apical dominance, and shoot and root formation (Grossmann Reference Grossmann2010). The small quantities of auxins, such as 5 to 1,000 pg mg–1 plant tissue, impact the growth and development processes in higher plants like almond, pistachio, and walnut (Ferguson and Kallsen Reference Ferguson and Kallsen2016; Kester et al. Reference Kester, Martin and Labavitch1996; Pinney et al. Reference Pinney, Labavitch and Polito1998). However, auxins are toxic at high cellular concentrations, such as degradation, conjugation, transport, and sequestration (Taiz et al. Reference Taiz, Møller, Murphy and Zeiger2022). Synthetic auxins are more stable in plants than natural auxins, such as indole-3-acetic acid (IAA), indole-3-butyric acid, 4-chloroindole-3-acetic acid, and phenylacetic acid (Bishop et al. Reference Bishop, Sakakibara, Seo and Yamaguchi2015; Epp et al. Reference Epp, Alexander, Balko, Buysse, Brewster, Bryan, Daeuble, Fields, Gast, Green, Irvine, Lo, Lowe, Renga, Richburg, Ruiz, Satchivi, Schmitzer, Siddall, Webster, Weimer, Whiteker and Yerkes2016). Owing to their stable structures (Epp et al. Reference Epp, Alexander, Balko, Buysse, Brewster, Bryan, Daeuble, Fields, Gast, Green, Irvine, Lo, Lowe, Renga, Richburg, Ruiz, Satchivi, Schmitzer, Siddall, Webster, Weimer, Whiteker and Yerkes2016), and being much less subject to homeostatic control than natural auxins (Taiz et al. Reference Taiz, Møller, Murphy and Zeiger2022), synthetic auxins cause herbicidal damage, such as tissue swelling, growth inhibition, and epinasty, which can be highly injurious or lethal to susceptible plants. Developing plants are expected to be more sensitive to synthetic herbicides than developed plants (Taiz et al. Reference Taiz, Møller, Murphy and Zeiger2022).

Florpyrauxifen-benzyl [benzyl 4-amino-3-chloro-6-(4-chloro-2-fluoro-3-methoxyphenyl)-5-fluoropyridine-2-carboxylate; CAS: 1390661-72-9] is a synthetic auxin-type herbicide with a novel site of action for weed control in rice (Epp et al. Reference Epp, Alexander, Balko, Buysse, Brewster, Bryan, Daeuble, Fields, Gast, Green, Irvine, Lo, Lowe, Renga, Richburg, Ruiz, Satchivi, Schmitzer, Siddall, Webster, Weimer, Whiteker and Yerkes2016). Picolinate auxin-type herbicides like florpyrauxifen-benzyl have a carboxylic acid functional group, which involves a key binding interaction at the site of action (Epp et al. Reference Epp, Alexander, Balko, Buysse, Brewster, Bryan, Daeuble, Fields, Gast, Green, Irvine, Lo, Lowe, Renga, Richburg, Ruiz, Satchivi, Schmitzer, Siddall, Webster, Weimer, Whiteker and Yerkes2016) and mimics IAA to fill between the receptor and the co-repressor proteins at the cell nucleus. When exogenously applied to susceptible plants, growth disruption, leaf epinasty, tissue swelling, stem curling, excessive chloroplast damage, membrane and vascular system damage, wilting, and necrosis are commonly observed, ultimately leading to plant death (Grossmann Reference Grossmann2010). The low vapor pressure of florpyrauxifen-benzyl, <0.2 kPa (ChemSpider 2024), suggests that volatility is a very minimal factor for potential florpyrauxifen-benzyl nontarget drift.

Since the modern era of herbicides began after the commercialization of 2,4-D in the 1940s and dicamba in the 1960s, auxin-type herbicides became important tools that have been widely used on 2,4-D- and dicamba-resistant crops like corn (Zea mays L.), soybean [Glycine max (L.) Merr.], and cotton (Gossypium hirsutum L.) (Egan et al. Reference Egan, Barlow and Mortensen2014). Owing to extensive use, auxin herbicides are historically well known for their off-target injuries to soybean, cotton, sunflower (Helianthus annuus L.), vegetables, fruit and nut trees, field and forage crops, ornamentals, and vines (Al-Khatib et al. Reference Al-Khatib, Parker and Fuerst1993; Bhatti et al. Reference Bhatti, Al-Khatib and Parker1997; Dittmar et al. Reference Dittmar, Ferrell, Fernandez and Smith2016; Haring et al. Reference Haring, Ou, Al-Khatib and Hanson2022; Marple et al. Reference Marple, Al-Khatib, Shoup, Peterson and Claassen2007; Miller and Norsworthy Reference Miller and Norsworthy2018; Nunes et al. Reference Nunes, Albrecht, Albrecht, Lorenzetti, Danilussi, da Silva, Silva and Barroso2023; Ramos et al. Reference Ramos, Rzodkiewicz, Turcotte and Ashman2021; Sciumbato et al. Reference Sciumbato, Chandler, Senseman, Bovey and Smith2004; Serim and Patterson Reference Serim and Patterson2024; Sharkey et al. Reference Sharkey, Williams and Parker2021; Smith et al. Reference Smith, Ferrell, Webster and Fernandez2017; Warmund et al. Reference Warmund, Ellersieck and Smeda2022; Wells et al. Reference Wells, Prostko and Carter2019). The overall objectives of this research were to study the correlation between symptoms and residue of florpyrauxifen-benzyl in the leaf tissue of nut tree crops after plausible drift rates and to determine if florpyrauxifen-benzyl residue can be used as an indicator of the level of florpyrauxifen-benzyl exposure.

Materials and Methods

Study Site

Three simulated off-target drift experiments were conducted in 2020 and 2021 in newly planted almond (38.539°N, 121.794°W), pistachio (38.539°N, 121.793°W), and walnut (38.539°N, 121.794°W) orchards (elev. 18 m) at the University of California, Davis Plant Sciences Research Facility near Davis, CA. The orchards were established in March 2020 with ‘Nonpareil’ almond scion on ‘Empyrean 1’ rootstock, ‘Kerman’ pistachio scion on ‘UCB 1’ rootstock, and ‘Chandler’ walnut scion on ‘clonal RX1’ rootstock. Almonds and walnuts were planted 6 m apart within rows and 4.2 m apart between rows, while pistachios were 6 m apart within rows and 7 m apart between rows. The soil was classified as a Yolo silt loam with NO3–N 56 ppm, Olsen-P 25 ppm, K 348 ppm, Na 15 ppm, Ca 8 meq 100 g−1, Mg 10 meq 100 g−1, CEC 19 meq 100 g−1, OM 2.7%, and pH 6.7 at all experiments. Trees were maintained free of diseases and insects as recommended by the UCIPM guidelines (Ferguson and Haviland Reference Ferguson and Haviland2016; Micke Reference Micke1996; Ramos Reference Ramos1998; Strand Reference Strand2002, Reference Strand2003). Irrigation was made through a single-line drip irrigation system with emitters spaced every 30 cm. In all experiments, weeds between rows were managed with regular mowing and within rows with a mixture of rimsulfuron at 70 g ai ha–1, indaziflam at 50 g ai ha–1, oxyfluorfen at 560 g ai ha–1, and glufosinate-ammonium at 450 g ai ha–1. In addition, the spray solution for maintenance sprays included methylated seed oil (MSO) at 0.25% v/v and polyvinyl polymer drift control agent at 0.5% v/v.

Herbicide Applications

Florpyrauxifen-benzyl (Loyant® CA, 25 g ai L–1, Corteva Agriscience, Indianapolis, IN, USA) was applied on June 9, 2020, during calm weather conditions to avoid off-target movement, in all three experiments at plausible drift rates of 1/100X (1% drift) and 1/33X (3% drift) of the rice use rate of 29.4 g ai ha–1 (Espino et al. Reference Espino, Greer, Al-Khatib, Godfrey, Eckert, Fischer and Lawler2023; Galla et al. Reference Galla, Hanson and Al-Khatib2019). Four untreated check (UTC) plots were also included for comparison. All spray mixtures included MSO (Super Spread® MSO, Wilbur-Ellis, Fresno, CA, USA) at 584 ml ha–1. All florpyrauxifen-benzyl treatments were applied to one side of the tree canopy with a handheld, CO2-pressured backpack sprayer calibrated to spray 187 L ha–1 at 206 kPa pressure through AIXR8004 nozzles (TeeJet® Technologies, Wheaton, IL, USA). The spray boom had two nozzles spaced 50 cm apart, and treatments were applied in a single 3-s pass from top to bottom per tree. Environmental conditions at the time of application were 16 C air temperature, 58% relative humidity, and 0.4 m s–1 wind speed. All experiments were repeated on May 31, 2021, using the trees that were buffer trees during the 2020 growing season in the same orchards using the previously described methods. Environmental conditions during the second-year applications were 18 C air temperature, 50% relative humidity, and 0.6 m s–1 wind speed. No in-season auxin-type herbicides were used to avoid the potential confusion with florpyrauxifen-benzyl drift experiments.

Experimental Design and Data Collection

Experiments were set up in a randomized complete block design with four replicates, where an individual tree was an experimental unit. An untreated tree between treated trees was included as a buffer to prevent herbicide contamination. Trees were observed for visual symptoms at 6, 12, 24, 48, and 72 hr after herbicide treatment and at 7, 14, 21, 28, 35, 42, and 90 DAT. Symptomology descriptions of the treated foliage were made according to UCIPM herbicide symptoms guidelines (UCIPM 2024). At each observation, the florpyrauxifen-benzyl treated sides of almond, pistachio, and walnut trees were compared with UTC trees. Evaluations were made early in the morning, and photos of trees were taken from the treated side of the canopy throughout the growing season for consistency.

Analytical Methods

Randomly selected leaves from 1/100X and 1/33X florpyrauxifen-benzyl-treated almond, pistachio, and walnut leaves from the treated sides of the canopy and from the UTC were harvested at 7, 14, and 28 DAT. The approximately 50-g samples of harvested leaves were immediately rinsed in 50% methanol solution (SIGALD 439193, Sigma-Aldrich, St. Louis, MO, USA, CAS: 67–56–1) in the field to remove soil dust and unabsorbed florpyrauxifen-benzyl residues on the leaf surface (Al-Khatib et al. Reference Al-Khatib, Parker and Fuerst1992). The leaf samples were double-bagged and brought to the laboratory on dry ice, then frozen in liquid nitrogen and stored in an ultra-low-temperature freezer (MDF-DU901VHA, PHCbi, Wood Dale, IL, USA) until the leaf samples were processed.

To recover and quantify florpyrauxifen-benzyl from 7- and 14-DAT samples, leaf tissues were ground in liquid nitrogen to ∼5-mm-sized pieces, and 500 mg of ground tissue was placed in 7-ml tubes on dry ice. Tissues were fortified with an internal standard of similar hydrophobicity (SPEXQuE™ AOAC Internal Standard Mix, Thermo Fisher Scientific, Waltham, MA, USA) to check stability of instrument response to ensure the recovery accuracy, and 10 to 15 metal homogenizing beads (Fisherbrand™ Bead, Thermo Fisher Scientific) were added to the tubes. Florpyrauxifen-benzyl was extracted by adding 2.5 ml 90% w/v acetonitrile (CAS: 75-05-8, Sigma-Aldrich, St. Louis, MO, USA) and homogenized at 4,400 g n for sixteen 30-s cycles. The extracts were centrifuged at 1,100 g n for 5 min, and 500 ul supernatant was transferred to 2-ml tubes containing 300 mg QuE Verde dispersive SPE (dSPE) (Supel QuE Verde Tube Number 55442-U, Sigma-Aldrich). Extracts with dSPE were shaken on a rotary shaker at 0.5 g n for 15 min and centrifuged again at 17,700 g n for 5 min. The supernatant was directly analyzed using an ultra-high-performance liquid chromatographer coupled to an orbitrap fusion tribrid mass spectrometer (UltiMate 3000 UHPLC, Thermo Fisher Scientific). The liquid chromatography–mass spectrometry/mass spectrometry method was optimized to determine the quantity of florpyrauxifen-benzyl in the samples using an accurate mass and fragmentation pattern matching to a reference analytical standard (USEPA 2020). The concentration of florpyrauxifen-benzyl in each sample was quantified based on an external calibration curve of the analytical standard (Number 684721, HPC Standards, Atlanta, GA, USA) for florpyrauxifen-benzyl. Method validation was performed to determine the limit of florpyrauxifen-benzyl detection and the limit of quantitation (LOQ). To recover and quantify florpyrauxifen-benzyl from 28-DAT samples, the same protocols from 7 and 14 DAT were followed with increased method limits of quantitation (900-mg Supel QuE Verde Tubes) while maintaining acceptable method recoveries in leaf tissues due to the decreased florpyrauxifen-benzyl residue.

Statistical Analysis

Data for florpyrauxifen-benzyl residues were subjected to ANOVA using the agricolae package (de Mendiburu Reference de Mendiburu2024) in RStudio version 2024.04.2+764 (R Core Team 2024), and means were separated using Tukey’s HSD at α = 0.05, when applicable. Visual illustration was generated using the ggplot2 package version 3.5.1 in RStudio (Wickham et al. Reference Wickham, Navarro and Pedersen2024).

Results and Discussion

Florpyrauxifen-benzyl symptoms were apparent on all three nut tree species, and severity of symptoms increased as herbicide rates increased; however, the symptoms were more pronounced on pistachio than on almond and walnut at similar rates. Additionally, the time to develop symptoms was shorter with pistachio than with almond and walnut.

Symptoms on almond and walnut were initially observed at 7 DAT, and severity generally peaked at 14 DAT (data not shown). Although almond and walnut symptoms were observed mainly on the treated sides of the trees, some young walnut leaves on the nontreated side of the canopy also showed minor symptoms. Symptoms were most apparent on young leaves and shoots at all rates. Almond and walnut symptoms included chlorosis, chlorotic spot, epinasty, leaf curling, leaf narrowing, leaf crinkling, necrosis, necrotic spots, shoot curling, and twisting (Figure 1). Leaf curling, necrosis, and necrotic spots were more apparent at the 1/33X rate for almond than for walnut. Walnut symptoms were most apparent on young leaves, whereas old leaves were free of visual symptoms at any rate. Conversely, symptoms on almond leaves could be found throughout the treated part of the canopy regardless of leaf age. At the 1/100X and 1/33X rates, almond and walnut symptoms gradually dissipated, and trees appeared normal at the end of the growing season. Furthermore, almond appeared to recover more quickly from florpyrauxifen-benzyl drift rates than did pistachio and walnut (data not shown).

Figure 1. Characteristic symptoms of florpyrauxifen-benzyl on almond (top), pistachio (middle), and walnut (bottom) at 1/100X and 1/33X simulated drift rates of the rice use rate at 7 d after treatment (DAT) (A), 14 DAT (B), and 28 DAT (C) in 2021.

Pistachio was considerably more susceptible to florpyrauxifen-benzyl compared to almond and walnut. Florpyrauxifen-benzyl symptoms were visible at 3 DAT for 1/100X- and 1/33X-treated pistachio and generally peaked at approximately 14 DAT. Pistachio symptoms were observed throughout the canopy and included chlorosis, chlorotic spot, leaf curling, leaf narrowing, leaf distortion, leaf malformation, leaf crinkling, shoot curling, stem coloring with dark maroon-brown spots, stunting, terminal bud twisting, and terminal bud death (Figure 1). Shoot curling, stem coloring, stunting, and twisting were more apparent at the 1/33X rate than at the 1/100X rate. Pistachio symptoms slightly dissipated over time but remained visible throughout the growing season. Injury symptoms persisted into the following spring, when the trees leafed out during the 2021 and 2022 growing seasons. Stem curling, stunting, and twisting were most noticeable at the 1/33X rate for pistachio in the year after treatment.

Chemical analyses showed that the recovery of florpyrauxifen-benzyl residues from leaf samples was within the acceptable range: 82.2% for almond with 7% relative standard deviation (RSD), 103.6% for pistachio with 12% RSD, and 104.4% for walnut with 15% RSD at 14 DAT, and 74% for almond with 6% RSD, 79% for pistachio with 6% RSD, and 92% for walnut with 12% RSD at 28 DAT. The florpyrauxifen-benzyl recovery levels were between 70% and 120% of the known quantity of florpyrauxifen-benzyl with ≤20% RSD at appropriate residue analysis standards (USEPA 1996). In quantification tests, no residues were detected in any of the UTC leaf tissues sampled. At 7 DAT with the 1/100X rate, florpyrauxifen-benzyl residues were 2.31, 1.78, and 3.58 ng g–1 FW in almond, pistachio, and walnut, respectively. The residues in the 1/100X-treated plots were 1.10, 0.68, and 2.05 ng g–1 FW at 14 DAT and 0.04, 0.10, and 0 ng g–1 FW at 28 DAT for almond, pistachio, and walnut, respectively (Figures 2 to 4).

Figure 2. Florpyrauxifen-benzyl residues in almond leaf tissue 7, 14, and 28 DAT with 1/33X and 1/100X simulated drift rates. The rate is expressed as the fraction of the use rate in California rice of 29.4 g ai ha–1. Any two means not followed by the same letter are significantly different at P ≤ 0.05 using Tukey’s HSD.

Figure 3. Florpyrauxifen-benzyl residues in pistachio leaf tissue 7, 14, and 28 DAT with 1/33X and 1/100X simulated drift rates. The rate is expressed as the fraction of the use rate in California rice of 29.4 g ai ha–1. Any two means not followed by the same letter are significantly different at P ≤ 0.05 using Tukey’s HSD.

In almonds treated with the 1/33X rate, florpyrauxifen-benzyl residues ranked from 6.06 to 0.25 ng g–1 FW at 7 through 28 DAT, respectively (Figure 2). In pistachio, the 1/33X florpyrauxifen-benzyl-treated leaf samples had 5.95 ng g–1 FW at 7 DAT; however, this decreased to 0.06 ng g–1 FW at 28 DAT (Figure 3). In walnut, the 1/33X-treated leaf samples ranked from 13.12 to 0 ng g–1 FW at 7 through 28 DAT (Figure 4). Walnut leaves had the highest residues at 7 and 14 DAT, but by 28 DAT, residues were below the LOQ (Figure 4).

Figure 4. Florpyrauxifen-benzyl residues in walnut leaf tissue 7, 14, and 28 DAT with 1/33X and 1/100X simulated drift rates. The rate is expressed as the fraction of the use rate in California rice of 29.4 g ai ha–1. Any two means not followed by the same letter are significantly different at P ≤ 0.05 using Tukey’s HSD.

The results of this research suggest that the ideal time frame to quantify florpyrauxifen-benzyl residues is <14 d after a drift event. Florpyrauxifen-benzyl symptoms on nut crop trees generally started to appear within 3 to 14 d of exposure and were most severe from 14 to 21 DAT. Therefore, if florpyrauxifen-benzyl drift happens in an almond, pistachio, or walnut orchard, the symptoms may not be recognized until at least 14 d after the herbicide drift event occurred, but by this point, detectable residues would likely be decreasing. While a crop consultant, farm adviser, or grower with an auxin-type herbicide symptomology experience on trees may readily identify the symptoms, it may be too late for accurate residue quantification from the leaf tissues unless the drift exposure is extremely high. Under normal circumstances, drift rates are below 1/100X to 1/33X of the field use rate of an herbicide (Al-Khatib and Peterson Reference Al-Khatib and Peterson1999). The 1/100X drift rate of florpyrauxifen-benzyl caused symptoms on all crops tested in this research in the days and weeks after treatment, but the symptoms decreased gradually during the season for all crops and ultimately disappeared in almond and walnut, but not in pistachio. Florpyrauxifen-benzyl residues were not detectable in the leaf tissue at 28 DAT for walnut at any drift rate. Moreover, florpyrauxifen-benzyl at the 1/100X rate was detectable only near or below the lowest quantifiable standard concentration (0.2 ng ml–1 on the instrument) out of one sample for almond and pistachio at 28 DAT. This observation suggests that investigations of suspected florpyrauxifen-benzyl drift on almond, pistachio, and walnut should not be based entirely on florpyrauxifen-benzyl leaf residue, especially when tissue samples are taken 14 d or longer after suspected exposure.

Practical Implications

Increasing herbicide resistance has led to the necessity for complex herbicide programs with different modes of action in California rice. Florpyrauxifen-benzyl is becoming an important herbicide in season-long weed management programs owing to its activity on grass, sedge, and broadleaf weeds and to its broad application window. Florpyrauxifen-benzyl can be applied up to two foliar applications from the 2-leaf rice growing stage to 60 d prior to harvest at 40 g ai ha–1 within 14-d intervals. In the Sacramento Valley, these applications generally occur between May and mid-July, when almond, pistachio, and walnut are highly sensitive to herbicide drift. Pesticide applicators should use extra caution with florpyrauxifen-benzyl applications, particularly near pistachio orchards. Results from this research suggest that florpyrauxifen-benzyl residues in leaf tissue may decrease even before leaf symptoms reach peak severity. Therefore any florpyrauxifen-benzyl drift case investigations need to consider symptomology, weather conditions, and application records in the area and not rely solely on chemical residue analyses.

Acknowledgments

We gratefully acknowledge the efforts of Seth Watkins, Guelta Laguerre, and Maya Delong for their assistance with the fieldwork and Elizabeth Leonard and Nishanth Tharayil at Multi-User Analytical Lab, Clemson University, for the chemical analysis on this project.

Funding

This research was funded by the California Rice Research Board (grants RR20-7 and RR21-9), the Melvin D. Androus Endowment, and a University of California Henry A. Jastro–Shields Graduate Research Award.

Competing interests

The authors declare no conflicts of interest.

Footnotes

Associate Editor: Sandeep Singh Rana, Bayer Crop Science

References

Al-Khatib, K, Claassen, MM, Stahlman, PW, Geier, PW, Regehr, DL, Duncan, SR, Heer, WF (2003) Grain sorghum response to simulated drift from glufosinate, glyphosate, imazethapyr, and sethoxydim. Weed Technol 17:261265 CrossRefGoogle Scholar
Al-Khatib, K, Parker, R, Fuerst, EP (1992) Foliar absorption and translocation of herbicides from aqueous solution and treated soil. Weed Sci 40:281287 CrossRefGoogle Scholar
Al-Khatib, K, Parker, R, Fuerst, EP (1993) Wine grape (Vitis vinifera L.) response to simulated herbicide drift. Weed Technol 7:97102 CrossRefGoogle Scholar
Al-Khatib, K, Peterson, DE (1999) Soybean (Glycine max) response to simulated drift from selected sulfonylurea herbicides, dicamba, glyphosate, and glufosinate. Weed Technol 13:264270 CrossRefGoogle Scholar
Bhatti, MA, Al-Khatib, K, Felsot, AS, Parker, R, Kadir, S (1995) Effects of simulated chlorsulfuron drift on fruit yield and quality of sweet cherries (Prunus avium L.). Environ Toxicol Chem 14:537544 Google Scholar
Bhatti, MA, Al-Khatib, K, Parker, R (1997) Wine grape (Vitis vinifera) response to fall exposure of simulated drift from selected herbicides. Weed Technol 11:532536 CrossRefGoogle Scholar
Bishop, G, Sakakibara, H, Seo, M, Yamaguchi, S (2015) Biosynthesis of hormones. Pages 769–833 in Buchanan BB, Gruissem W, Jones RL, eds. Biochemistry and Molecular Biology of Plants. 2nd ed. Chichester, UK: Wiley BlackwellGoogle Scholar
Brim-DeForest, W, Al-Khatib, K, Fischer, AJ (2017a) Predicting yield losses in rice mixed-weed species infestations in California. Weed Sci 65:6172 CrossRefGoogle Scholar
Brim-DeForest, W, Al-Khatib, K, Linquist, BA, Fischer, AJ (2017b) Weed community dynamics and system productivity in alternative irrigation systems in California rice. Weed Sci 65:177188 CrossRefGoogle Scholar
[CDFA] California Department of Food and Agriculture (2024) California agricultural production statistics. https://www.cdfa.ca.gov/Statistics. Accessed: March 29, 2024Google Scholar
ChemSpider (2024) Florpyrauxifen-benzyl. Royal Society of Chemistry. https://www.chemspider.com/Chemical-Structure.49612658.html. Accessed: October 1, 2024Google Scholar
de Mendiburu, F (2024) agricolae: statistical procedures for agricultural research. R package version 1.3-7. https://CRAN.R-project.org/package=agricolae. Accessed: April 23, 2024Google Scholar
Dittmar, PJ, Ferrell, JA, Fernandez, JV, Smith, H (2016) Effect of glyphosate and dicamba drift timing and rates in bell pepper and yellow squash. Weed Technol 30:217223 CrossRefGoogle Scholar
Egan, JF, Barlow, KM, Mortensen, DA (2014) A meta-analysis on the effects of 2,4-D and dicamba drift on soybean and cotton. Weed Sci 62:193206 CrossRefGoogle Scholar
Epp, JB, Alexander, AL, Balko, TW, Buysse, AM, Brewster, WK, Bryan, K, Daeuble, JF, Fields, SC, Gast, RE, Green, RA, Irvine, NM, Lo, WC, Lowe, CT, Renga, JM, Richburg, JS, Ruiz, JM, Satchivi, NM, Schmitzer, PR, Siddall, TL, Webster, JD, Weimer, MR, Whiteker, GT, Yerkes, CN (2016) The discovery of Arylex™ active and Rinskor™ active: two novel auxin herbicides. Bioorg Med Chem 24:362371 CrossRefGoogle ScholarPubMed
Espino, LA, Greer, CA, Al-Khatib, K, Godfrey, LD, Eckert, JW, Fischer, A, Lawler, SP (2023) UC IPM pest management guidelines: rice. UC ANR Publication Number 3465. https://ipm.ucanr.edu/agriculture/rice/. Accessed: October 29, 2023Google Scholar
Ferguson, L, Haviland, DR, eds (2016) Pistachio Production Manual. Publication Number 3545. Oakland: University of California Agriculture and Natural Resources. 334 pGoogle Scholar
Ferguson, L, Kallsen, CE (2016) The pistachio tree: physiology and botany. Pages 19–26 in Ferguson L, Haviland DR, eds. Pistachio Production Manual. Publication Number 3545. Oakland: University of California Agriculture and Natural ResourcesGoogle Scholar
Galla, MF, Al-Khatib, K, Hanson, BD (2018a) Response of walnuts to simulated drift rates of bispyribac-sodium, bensulfuron-methyl, and propanil. Weed Technol 32:410415 CrossRefGoogle Scholar
Galla, MF, Al-Khatib, K, Hanson, BD (2018b) Walnut response to multiple exposures to simulated drift of bispyribac-sodium. Weed Technol 32:618622 CrossRefGoogle Scholar
Galla, MF, Hanson, BD, Al-Khatib, K (2019) Detection of bispyribac-sodium residues in walnut leaves after simulated drift. HortTechnology 29:2529 CrossRefGoogle Scholar
Galvin, LB, Inci, D, Mesgaran, M, Brim-DeForest, W, Al-Khatib, K (2022) Flooding depths and burial effects on seedling emergence of five California weedy rice (Oryza sativa spontanea) accessions. Weed Sci 70:213219 CrossRefGoogle Scholar
Grossmann, K (2010) Auxin herbicides: current status of mechanism and mode of action. Pest Manag Sci 66:113120 CrossRefGoogle ScholarPubMed
Haring, SC, Ou, J, Al-Khatib, K, Hanson, BD (2022) Grapevine injury and fruit yield response to simulated auxin herbicide drift. HortScience 57:384388 CrossRefGoogle Scholar
Hill, JE, Williams, JF, Mutters, RG, Greer, CA (2006) The California rice cropping system: agronomic and natural resource issues for long-term sustainability. Paddy Water Environ 4:1319 CrossRefGoogle Scholar
Kester, DE, Martin, GC, Labavitch, JM (1996) Growth and development. Pages 90–97 in Micke WC, ed. Almond Production Manual. Publication Number 3364. Oakland: University of California Division of Agriculture and Natural ResourcesGoogle Scholar
Marple, ME, Al-Khatib, K, Shoup, D, Peterson, DE, Claassen, M (2007) Cotton response to simulated drift of seven hormonal-type herbicides. Weed Technol 21:987992 CrossRefGoogle Scholar
Micke, WC, ed (1996) Almond Production Manual. Publication 3364. Oakland, CA: University of California Agriculture and Natural Resources. 289 pGoogle Scholar
Miller, MR, Norsworthy, JK (2018) Soybean sensitivity to florpyrauxifen-benzyl during reproductive growth and the impact on subsequent progeny. Weed Technol 32:135140 CrossRefGoogle Scholar
Nunes, RT, Albrecht, AJP, Albrecht, LP, Lorenzetti, JB, Danilussi, MTY, da Silva, RMH, Silva, AFM, Barroso, AAM (2023) Soybean injury caused by the application of subdoses of 2,4-D or dicamba, in simulated drift. J Environ Sci Heal B 58:327333 CrossRefGoogle ScholarPubMed
Pinney, K, Labavitch, JM, Polito, VS (1998) Fruit growth and development. Pages 139–143 in Ramos DE, ed. Walnut Production Manual. Publication Number 3373. Oakland: University of California Division of Agriculture and Natural ResourcesGoogle Scholar
Ramos, DE, ed (1998) Walnut Production Manual. Publication Number 3373. Oakland: University of California Agriculture and Natural Resources. 320 pGoogle Scholar
Ramos, SE, Rzodkiewicz, LD, Turcotte, MM, Ashman, TL (2021) Damage and recovery from drift of synthetic-auxin herbicide dicamba depends on concentration and varies among floral, vegetative, and lifetime traits in rapid cycling Brassica rapa . Sci Total Environ 801:149732 CrossRefGoogle ScholarPubMed
R Core Team (2024) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org. Accessed: October 1, 2024Google Scholar
Sciumbato, AS, Chandler, JM, Senseman, SA, Bovey, RW, Smith, KL (2004) Determining exposure to auxin-like herbicides. I. Quantifying injury to cotton and soybean. Weed Technol 18:11251134 Google Scholar
Serim, AT, Patterson, EL (2024) Response of conventional sunflower cultivars to drift rates of synthetic auxin herbicides. PeerJ 12:e16729 CrossRefGoogle ScholarPubMed
Sharkey, SM, Williams, BJ, Parker, KM (2021) Herbicide drift from genetically engineered herbicide-tolerant crops. Environ Sci Technol 55:1555915568 CrossRefGoogle ScholarPubMed
Smith, HC, Ferrell, JA, Webster, TM, Fernandez, JV (2017) Cotton response to simulated auxin herbicide drift using standard and ultra-low carrier volumes. Weed Technol 31:19 Google Scholar
Strand, LL, ed (2002) Integrated Pest Management for Almonds. 2nd ed. Publication Number 3308. Oakland: University of California Agriculture and Natural Resources. 199 pGoogle Scholar
Strand, LL, ed (2003) Integrated Pest Management for Walnuts. 3rd ed. Publication Number 3270. Oakland: University of California Agriculture and Natural Resources. 136 pGoogle Scholar
Taiz, L, Møller, IM, Murphy, A, Zeiger, E, eds (2022) Plant Physiology and Development. 7th ed. New York: Oxford University Press. 752 pGoogle Scholar
[UCIPM] University of California Statewide Integrated Pest Management Program (2016) The Safe and Effective Use of Pesticides. 3rd ed. Publication Number 3324. Oakland: University of California Agriculture and Natural Resources. 386 pGoogle Scholar
[UCIPM] University of California Statewide Integrated Pest Management Program (2024) Herbicide symptoms. https://herbicidesymptoms.ipm.ucanr.edu. Accessed: April 10, 2024Google Scholar
[USDA-NASS] U.S. Department of Agriculture National Agricultural Statistics Service (2024) CroplandCROS. https://www.nass.usda.gov. Accessed: January 10, 2024Google Scholar
[USEPA] U.S. Environmental Protection Agency (1996) Residue chemistry test guidelines: OPPTS 860.1340 residue analytical method. Report Number EPA 712-C-96-174. https://www.regulations.gov/document/EPA-HQ-OPPT-2009-0155-0007. Accessed: July 2, 2024Google Scholar
[USEPA] U.S. Environmental Protection Agency (2020) Analytical method for florpyrauxifen-benzyl and its metabolites X11438848 and X11966341 in compost. https://www.epa.gov/sites/default/files/2021-01/documents/der-florpyrauxifen-residues-compost-mrid-51025001.pdf. Accessed: December 15, 2020Google Scholar
Warmund, MR, Ellersieck, MR, Smeda, RJ (2022) Sensitivity and recovery of tomato cultivars following simulated drift of dicamba or 2,4-D. Agriculture 12:1489 CrossRefGoogle Scholar
Wells, ML, Prostko, EP, Carter, OW (2019) Simulated single drift events of 2,4-D and dicamba on pecan trees. HortTechnology 29:360366 CrossRefGoogle Scholar
Wickham, H, Navarro, D, Pedersen, TL (2024) ggplot2: elegant graphics for data analysis (3e). https://ggplot2-book.org. Accessed: July 17, 2024Google Scholar
Figure 0

Figure 1. Characteristic symptoms of florpyrauxifen-benzyl on almond (top), pistachio (middle), and walnut (bottom) at 1/100X and 1/33X simulated drift rates of the rice use rate at 7 d after treatment (DAT) (A), 14 DAT (B), and 28 DAT (C) in 2021.

Figure 1

Figure 2. Florpyrauxifen-benzyl residues in almond leaf tissue 7, 14, and 28 DAT with 1/33X and 1/100X simulated drift rates. The rate is expressed as the fraction of the use rate in California rice of 29.4 g ai ha–1. Any two means not followed by the same letter are significantly different at P ≤ 0.05 using Tukey’s HSD.

Figure 2

Figure 3. Florpyrauxifen-benzyl residues in pistachio leaf tissue 7, 14, and 28 DAT with 1/33X and 1/100X simulated drift rates. The rate is expressed as the fraction of the use rate in California rice of 29.4 g ai ha–1. Any two means not followed by the same letter are significantly different at P ≤ 0.05 using Tukey’s HSD.

Figure 3

Figure 4. Florpyrauxifen-benzyl residues in walnut leaf tissue 7, 14, and 28 DAT with 1/33X and 1/100X simulated drift rates. The rate is expressed as the fraction of the use rate in California rice of 29.4 g ai ha–1. Any two means not followed by the same letter are significantly different at P ≤ 0.05 using Tukey’s HSD.