Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-23T20:33:32.109Z Has data issue: false hasContentIssue false

Water-seeded rice response to pendimethalin applied at different rates and timings

Published online by Cambridge University Press:  01 April 2024

Aaron Becerra-Alvarez
Affiliation:
Graduate Student Researcher, Department of Plant Sciences, University of California, Davis, CA, USA
Kassim Al-Khatib*
Affiliation:
Professor, Department of Plant Sciences, University of California, Davis, CA, USA
*
Corresponding author: Kassim Al-Khatib; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Currently, a limited number of herbicides is available to treat water-seeded rice in California, with widespread resistance to most of those herbicides. Because no resistant grasses showed resistance to pendimethalin, a series of studies were conducted to evaluate water-seeded rice response to pendimethalin. In a field study conducted at the Rice Experiment Station at Biggs, California, in 2020 and 2021, three pendimethalin formulations, a granule (GR), emulsifiable concentrate (EC), and capsule suspension (CS), were applied at 1.1, 2.3, and 3.4 kg ai ha−1 rates, and at 5, 10, and 15 d after seeding onto water-seeded rice. In addition, a greenhouse study was conducted to examine the response of five common California rice cultivars to GR and CS formulation applications. Echinochloa control levels were reduced at 15 d after seeding after use of EC and CS formulations compared with earlier timings. In both years, rice grain yields were increased by 3,014 kg ha−1 after application of pendimethalin at 3.4 kg ai ha−1 when applied at 15 d after seeding compared with 5 and 10 d after seeding, and similar to 1.1 kg ai ha−1 applications. The GR and CS were safer formulations based on a reduction in injury and an increase in grain yields compared to the EC formulation. Differences in seedling vigor across cultivars appeared to incur an advantage after a pendimethalin application. However, most cultivars evaluated for stand reduction and dry biomass demonstrated tolerance to GR and CS formulation applications only after rice reached the 3-leaf stage. In contrast, an application at 1-leaf stage rice reduced stand up to 68%. Application rate, timing, and formulation are important factors to consider if the use of pendimethalin in water-seeded rice is to be pursued.

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 (http://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

Rice is an important staple food for many countries and is produced worldwide (Chauhan et al. Reference Chauhan, Jabran and Mahajan2017). Water-seeded rice is a common production system in California, Europe, Australia, and some Asian countries (Chauhan et al. Reference Chauhan, Jabran and Mahajan2017). The water-seeded system is useful for managing grasses, weedy rice, and other nonaquatic weeds (Hill et al. Reference Hill, Williams, Mutters and Greer2006; Rao et al. Reference Rao, Wani, Ramesha, Ladha and Chauhan2017). In California water-seeded rice, pregerminated rice seeds are air-seeded onto fields with a standing flood of 10 to 15 cm, the field will typically be continuously flooded throughout the growing season (Hill et al. Reference Hill, Williams, Mutters and Greer2006).

Weeds are a major management challenge encountered in rice production (Brim-Deforest et al. Reference Brim-DeForest, Al-Khatib and Fischer2017a). Weedy grasses in California’s water-seeded rice agroecosystem include barnyardgrass [Echinochloa crus-galli (L.) Beauv], early watergrass (E. oryzoides), late watergrass [E. phyllopogon (Stapff) Koss], and bearded sprangletop [Leptochloa fusca (L.) Kunth ssp. fascicularis (Lam.) N. Snow]. There is potential for up to 70% rice yield loss from season-long barnyardgrass competition (Smith Reference Smith1988) and up to 36% rice yield loss from competition with bearded sprangletop (Smith Reference Smith1983). Therefore, weedy grasses are the most economically important weeds in rice production (Brim-Deforest et al. Reference Brim-DeForest, Al-Khatib and Fischer2017a).

In California, herbicides continue to be an important tool for weed management in water-seeded rice, but herbicide-resistant weeds have led to poor weed control with available herbicides (Becerra-Alvarez et al. Reference Becerra-Alvarez, Godar, Ceseski and Al-Khatib2023). An observed high incidence of resistant weed populations is common (Becerra-Alvarez et al. Reference Becerra-Alvarez, Godar, Ceseski and Al-Khatib2023). The high prevalence of resistance has developed due to the limited number of effective herbicide sites of action available and continuous rice production year after year with minimal to no crop rotations (Hill et al. Reference Hill, Williams, Mutters and Greer2006). Multiple herbicide resistance in Echinochloa species has made control in rice production a significant challenge. Therefore, new tools are needed to help implement herbicide resistance management through herbicide mode of action mixtures and herbicide mode of action rotations (Becerra-Alvarez et al. Reference Becerra-Alvarez, Godar, Ceseski and Al-Khatib2023).

Pendimethalin is a mitotic-inhibiting herbicide from the dinitroaniline chemistry, its use is a selective preemergent that ceases the seedling growth shortly after germination (Appleby and Valverde Reference Appleby and Valverde1989). Pendimethalin has activity on Echinochloa species (Fischer et al. Reference Fischer, Comfort, Bayer and Hill2000) and bearded sprangletop (McCarty et al.Reference McCarty, Porter, Colvin, Shilling and Hall1995). Currently, there is no recorded resistance to pendimethalin in California and controlled resistant populations, making it a potential new tool for herbicide resistance management in water-seeded rice (Becerra-Alvarez et al. Reference Becerra-Alvarez, Godar, Ceseski and Al-Khatib2023; Fischer et al. Reference Fischer, Comfort, Bayer and Hill2000).

Pendimethalin is registered for use in drill-seeded rice preemergence or early postemergence (Osterholt et al. Reference Osterholt, Webster, Blouin and McKnight2019), however, it is not available for use on water-seeded rice because of the high crop injury potential (Fischer et al. Reference Fischer, Comfort, Bayer and Hill2000). In drill-seeded rice, pendimethalin application is suggested to occur 3 to 7 d after planting and at planting depths of 3.2 cm or greater to reduce injury (Bond et al. Reference Bond, Walker and Koger2009; Koger et al. Reference Koger, Walker and Krutz2006). A deeper planting depth allows the seedlings to absorb water and grow before contacting pendimethalin on the soil surface (Bond et al. Reference Bond, Walker and Koger2009). In water-seeded rice, rice seed is sown on the surface of the soil in high moisture levels, therefore, a postemergence application may reduce injury by allowing seedlings to establish before a pendimethalin application. The 1.1 kg ha−1 rate is the typical label rate used in drill-seeded rice for watergrass control (Bond et al. Reference Bond, Walker and Koger2009). Pendimethalin degrades faster in anaerobic than aerobic conditions (Barrett and Lavy Reference Barrett and Lavy1983). Higher than labeled rates may still provide adequate activity in anaerobic conditions. Therefore, 2× and 3× of the labeled rate were selected to evaluate rice response and weed control.

Herbicide formulation and application timing can be significant factors to reduce the rice injury to acceptable levels in a water-seeded system. Hatzinikolaou et al. (Reference Hatzinikolaou, Eleftherohorinos and Vasilakoglou2004) recorded that the emulsifiable concentrate (EC) of pendimethalin had greater soil activity, but the water dispersible granule (GR) and capsule suspension formulation (CS) remained active in the soil longer, producing an extended soil residual activity. Hatzinikolaou et al. (Reference Hatzinikolaou, Eleftherohorinos and Vasilakoglou2004) observed that the EC formulation resulted in a greater reduction in root length than GR and CS formulations, however, the GR and CS formulations also resulted in root length reduction in various plant species tested.

Tolerance to herbicides can also vary across rice cultivars. Koger et al. (Reference Koger, Walker and Krutz2006) observed differential response to pendimethalin among three long grain rice cultivars, with the ‘Wells’ cultivar resulting in greater susceptibility to pendimethalin compared to ‘Cocodrie’ and ‘Lemont’ cultivars in a conventional tillage, dry-seeded system at different seeding depths. Bond et al. (Reference Bond, Walker and Koger2009) observed no differences with minimal to no rice injury among the same three long-grain cultivars in a stale seedbed dry-seeded field study.

It is important to examine the response from common California rice cultivars to pendimethalin to understand the practicability and limitations of its use in the water-seeded system. Thus, field and greenhouse studies were conducted to examine the response of water-seeded rice to a pendimethalin application. In the field study, we evaluate rice plant response to three pendimethalin formulations (GR, EC, and CS) at three different application timings and three pendimethalin rates. The greenhouse study assessed the response of five common California rice cultivars after a GR and CS pendimethalin application in a simulated water-seeded condition. The objectives of these studies were to characterize the response of water-seeded rice after a pendimethalin application and evaluate its potential use on water-seeded rice.

Materials and Methods

Field Study

The field study was conducted in 2020 and 2021 at the Rice Experiment Station in Biggs, CA. Soils at the study site are characterized as Esquon-Neerdobe (fine, smectitic, thermic Xeric Epiaquerts and Duraquerts), silty clay, made up of 27% sand, 39% silt, and 34% clay, pH 5.1, and with 2.8% organic matter. During the off-season winter months, in both years the field was flooded to 10 cm above the soil, after a pass with a single offset stubble disc and then drained in early spring of the following year. Field preparation in spring consisted of one pass with a chisel plow and two passes with a single offset disc, followed by a land plane to smooth the soil surface. A corrugated roller was used to pack the soil and eliminate large clods on the soil surface prior to planting. A granule fertilizer starter mixture application of ammonium sulfate and potassium sulfate (34% N, 17% P, 0% K) was applied by airplane at 336 kg ha−1 prior to the corrugated roller.

Seeds of the rice cultivar ‘M-206’ were pregerminated in steel bins filled with water until all the seeds were completely covered. For disease control, a 5% sodium hypochlorite solution was added to the water for the first hour, then drained and refilled with only water for the remaining 24 h. The seed was then drained until dry for 12 h, and air-seeded by aircraft at 140 kg ha−1 seeding rate in 2020 and 170 kg ha−1 seeding rate in 2021 onto the field with a 10-cm standing flood. Individual 3-m-wide by 6-m-long plots surrounded by 2.2-m-wide shared levees were made to prevent contamination from adjacent treatments in a replication. The flood was maintained the entire season and was lowered only to apply additional foliar herbicides for sedge and broadleaf control. Standard agronomic and pest management practices were followed based on the University of California rice production guidelines (UCANR 2023). Seeding dates were May 23, 2020, and June 5, 2021.

The study design was in a factorial arrangement of the treatments under a randomized complete block design with four replications. The treatment factors were three formulations, three application timings, and three application rates. The pendimethalin EC formulation was BAS 455 39H (BASF, Florham Park, NJ) with 0.4 kg L−1 of active ingredient, the CS formulation was BAS 455 48H (BASF) with 0.5 kg L−1 of active ingredient, and the GR was BAS 455 20H (BASF) with 2% of active ingredient per weight. Application timings were 5, 10, and 15 d after seeding (DAS), corresponding to 1-leaf, 2- to 3-leaf, and 3- to 4-leaf stage rice, respectively. The application rates were 1.1, 2.3, and 3.4 kg ai ha−1.

The CS and EC formulations were applied with a CO2-pressurized backpack sprayer calibrated at 206 kPa to deliver 187 L ha−1. The sprayer boom was 3 m wide and equipped with six flat-fan TeeJet 8003VS tips (Spraying Systems Co., Glendale Heights, IL) traveling at 4.8 km h−1 and spraying onto the water surface. The GR formulation was spread by hand in each respective plot. Additional herbicides were applied for control of emerged grasses in 2020 and for control of other weed species not controlled by pendimethalin in both years. The observed population of grasses after treatment applications in 2020 deemed a necessary foliar herbicide application as a rescue treatment to acquire rice grain yield at the end of the season; however, this overspray may have biased the data to some degree. Copper sulfate crystals (Copper Sulfate Crystals MUP; Quimag Quimicos Aguila, Jalisco, Mexico) were applied by airplane at 17 kg ha−1 3 DAS for algae control. In 2020, a mixture of cyhalofop-butyl at 0.3 kg ai ha−1 (Clincher CA; Corteva, Indianapolis, IN) and propanil at 1.7 kg ai ha−1 (SuperWham! CA; UPL, King of Prussia, PA) were applied at 21 DAS and a mixture of carfentrazone-ethyl at 0.1 kg ai ha−1 (Shark H20; FMC, Philadelphia, PA) and triclopyr at 0.3 kg ai ha−1 (Grandstand CA; Corteva) was applied at 52 DAS for sedge and broadleaf control. In 2021, only carfentrazone-ethyl at 0.1 kg ai ha−1 and triclopyr at 0.3 kg ai ha−1 were applied for sedge and broadleaf control at 32 DAS.

Visual weed control of Echinochloa species and bearded sprangletop were recorded 14 and 56 d after pendimethalin treatment (DAT), on a scale of 0% to 100%, where 0% = no control and 100% = complete control. Echinochloa species counts in the nontreated plots were conducted 30 DAS by sampling twice in the plots within a 30-cm by 30-cm quadrat. Visual percent rice injury assessments were carried out at 20 DAT and 40 DAT by observing present symptomology, which included stand reduction and stunting, and compared with the nontreated, on a scale of 0% to 100%, where 0% = no injury and 100% = plant death. Rice tiller counts were conducted at 75 DAS by sampling twice within 30-cm by 30-cm quadrat in each plot, and data were scaled to a meter-squared area for presentation. Rice grain yield was collected in both years and adjusted to 14% moisture. The rice grain was hand harvested from two 1-m2 quadrats in each plot and mechanically threshed (Large Vogel Plot Thresher; Almaco, Nevada, IA). The grain was then cleaned and weighed.

Greenhouse Experiment, Cultivar Response

The study of how rice cultivars respond to pendimethalin was conducted at the Rice Experiment Station greenhouse in Biggs, CA. A factorial arrangement of treatments in a completely randomized design was implemented. The factors were five cultivars, two formulations, two timings, and two rates. The rice cultivars consisted of ‘S-102,’ ‘M-105,’ ‘M-205,’ M-206, and ‘M-209.’ These rice cultivars represent common short-grain and medium-grain cultivars produced in California. CS and GR formulations were applied at 5 and 10 DAS at 1.1 kg ai ha−1 and 2.3 kg ai ha−1, respectively. Three experimental runs were conducted separately over time. The first run was seeded on January 15, 2021, the second run on March 7, 2021, and the third run on April 20, 2021. Field soil with similar characteristics to that of the field site mentioned above was used to fill plastic containers (34 cm × 12 cm × 12 cm) with drainage openings on the bottom, and placed inside larger plastic containers (58 cm × 41 cm × 31 cm) with no drainage. Seeds were pregerminated by placing the different cultivar seeds inside cloth bags and in 18.9-L buckets completely submerged underwater for 24 h, and then seeds were air-dried before sowing. Twenty seeds were sown in each smaller container by placing the seed on the soil surface in a shallow flood onto the soil surface. The larger containers were immediately filled with water up to 10 cm above the soil level and maintained at that level throughout the study. Starting after the day of seeding, each smaller container was treated as a plot and was set in a completely randomized placement and re-randomized every 7 d. Copper sulfate crystals were applied by hand at 13 kg ha−1 3 DAS for control of algae in each container for each run. The emerged rice seeds were counted before the pendimethalin applications and at 21 DAT to calculate the percent rice stand survival. At 20 DAT, plant height was measured from the soil surface to the far most extended leaf end in each plot. At 21 DAT, aboveground biomass was harvested from each plot and dry biomass was recorded.

The greenhouse was maintained at 33/25 ± 2C day/night temperature. A 16-h photoperiod was provided, and natural light was supplemented with metal halide lamps at 400 µ mol m−2 s−1 photosynthetic photon flux. The CS formulation was applied using a track-sprayer (Devries, Holland, MN) at 187 L ha−1 with a single TeeJet 8001EVS nozzle (Spraying Systems Co.) by placing the container inside the spray chamber with a height of 43 cm from the surface of the flood water to the spray nozzle. The GR formulation was spread by hand in each respective tub, calculated by the area of the larger plastic container.

Statistical Analysis

All statistical analysis was conducted using R software (R Development Core Team 2022) with the lmertest and emmeans packages (Kuznetsova et al. Reference Kuznetsova, Brockhoff and Christenson2017; Lenth et al. Reference Lenth2020). Data were subjected to linear mixed effects regression models and mean separation, when appropriate, with Tukey’s honestly significant difference test at α = 0.05. In the field study, the model consisted of the three formulations, three rates, three application timings as fixed factors, and assessment dates as repeated measure, while replications were set as random separately each year. In the greenhouse study, the model consisted of two formulations, two rates, two application timings, and five cultivars as fixed factors, while experimental runs were treated as random. The normality of distribution was visually examined with quantile-quantile plots, and linearity was visually examined by plotting residuals.

Results and Discussion

Weed Control

There was interaction by year for Echinochloa species control (Table 1). In 2020, 330 ± 8 Echinochloa plants m−2 was observed in the nontreated plot, whereas in 2021, 180 ± 2 Echinochloa plants m−2 was observed by 56 DAT (Table 2). The field site previously recorded variations in weed species populations by year caused by differences in weather conditions and soil seedbank (Becerra-Alvarez et al. Reference Becerra-Alvarez, Ceseski and Al-Khatib2022; Brim-DeForest et al. Reference Brim-DeForest, Al-Khatib and Fischer2017a). The cyhalofop and propanil application influenced the grass control levels observed in 2020.

Table 1. Significance of main effects of formulation, timing, rate, and interactions among the main effects for grass weed control. a, b

a There was interaction by year.

b Transformations of the sprangletop control data did not help meet the assumptions of normality of distribution and data is presented as if normality was met.

Table 2. Echinochloa control as affected by the application of pendimethalin formulations by timings, averaged over rates in 2020 and 2021 on water-seeded rice. a, b, c

a Abbreviations: CS, capsule suspension; DAS, days after seeding; DAT, days after treatment; EC, emulsifiable concentrate; GR, granule.

b Means with the same letter within each column do not significantly differ by Tukey’s honestly significant difference test α = 0.05, averaged over the three rates.

c In 2020, 330 ± 8 Echinochloa spp. plants m−2 were present in the nontreated plots. In 2021, 180 ± 2 Echinochloa spp. plants m−2 were present in the nontreated plots.

Interaction effect across formulation with timing were observed for Echinochloa control both years (Table 1). The interaction of formulations with timings in 2020 demonstrated a reduction in Echinochloa control as application timing was delayed from 5 to 15 DAS with the EC formulation; however, the differences were not observed after application of GR and CS formulations (Table 2). In 2021, the interaction of formulations with timings demonstrated a decrease in Echinochloa control as application timing was delayed from 5 to 15 DAS with the EC and CS formulation, but again not with the GR formulation (Table 2). Application rates appeared to have an impact on grass control across timings in 2020 and across formulation in 2021 (Table 1). Interaction of rate with timing in 2020 and rate with formulation in 2021 were observed (Table 1). The Echinochloa control results are not consistent with those reported by Ahmed and Chauhan (Reference Ahmed and Chauhan2015), who repeatedly demonstrated an increase in grass control with an increase in pendimethalin rates in a dry-seeded rice system.

Transformations of sprangletop control data did not help meet the assumptions of normality of distribution, therefore, data are presented as if normality was met. Only pendimethalin timing and rate appeared to affect sprangletop control (Tables 1 and 3). The bearded sprangletop population is minimal and was previously observed by Brim-DeForest et al. (Reference Brim-DeForest, Al-Khatib and Fischer2017a). Therefore, the control results from pendimethalin may not be comparable to that of fields with greater sprangletop pressure. In this study, the flood was continuous and pendimethalin application was onto the water. The flood may have also been a factor in suppression of sprangletop (Driver et al. Reference Driver, Al-Khatib and Godar2020).

Table 3. Sprangletop control as affected by application of three pendimethalin formulations and three timings averaged over rates in 2020 and 2021 on water-seeded rice. a, b

a Abbreviations: CS, capsule suspension; DAS, days after seeding; DAT, days after treatment; EC, emulsifiable concentrate; GR, granule.

b Means with the same letter within each column do not significantly differ according to Tukey’s honestly significant difference test, α = 0.05, averaged over the three rates.

Rice Response

There was treatment interaction by year for visual rice injury but not across assessment dates (Table 4). Injury differed across formulation, rate, and timing (Table 4). Rice treated at the 15 DAS timing recorded the most reasonably accepted injury levels but differed across formulations (Table 4). The results demonstrate that different formulations result in varying rice injury levels, which is similar to the results reported by Hatzinikolaou et al. (Reference Hatzinikolaou, Eleftherohorinos and Vasilakoglou2004), who evaluated pendimethalin injury on various grass crop species.

Table 4. Visual rice injury as effected by the application of three pendimethalin formulations at three rates, and three timings in 2020 and 2021 on water-seeded rice. a, b, c

a Abbreviations: CS, capsule suspension; DAS, days after rice seeding; EC, emulsifiable concentrate; GR, granule.

b Interaction by year, P = 0.016, was observed for the visual injury. Model output recorded differences across formulations, P < 0.001, rates, P < 0.001, application timings, P < 0.001, formulations × rates, P < 0.001, formulations × application timings, P < 0.001, rates × application timings, P < 0.001, and formulations × rates × application timings, P < 0.001. There was no observed interaction across the two assessment dates of 20 and 40 d after treatment, P = 0.644; therefore, the data are presented as averaged over assessments.

c Means with the same letter within each column do not differ according to Tukey’s honestly significant difference test, α = 0.05.

In 2020, tiller counts were 30 to 200 tillers m−2. In 2021, however, tiller counts were 200 to 500 m−2 (Table 5). After a GR and CS application, rice tillers were similar across timings; however, after EC application at 15 DAS, tillers were increased. The rice treated at 15 DAS produced tiller counts similar to that of 10 DAS but not 5 DAS with pendimethalin applied at 2.3 and 3.4 kg ha−1 from the EC formulations (Table 5). Differences in formulations by application timings was evident and resulted in varying injury levels effected by the formulation.

Table 5. Rice tiller counts as effected by the application of three pendimethalin formulations at three rates, and three timings in 2020 and 2021 on water-seeded rice. a d

a Abbreviations: CS, capsule suspension; DAS, days after seeding; EC, emulsifiable concentrate; GR, granule.

b Results presented are averaged over the three rates. Counts conducted 75 d after application.

c There was interaction by year, P < 0.001. Significance observed across formulations, P = 0.011, rates, P = 0.007, application timings, P = 0.006, formulations × rates, P = 0.314, formulations × application timings, P < 0.001, rates × application timings, P = 0.089, and formulations × rates × application timings, P = 0.687.

d Means with the same letter within each column do not differ according to Tukey’s honestly significant difference test, α = 0.05.

The greater weedy grass pressure in 2020 may have been a factor in the increase on visual rice injury and decrease in rice stands compared to 2021. Weedy grasses interfere with rice growth early on and can reduce the rice stand and tillering capacity (Brim-DeForest et al. Reference Brim-DeForest, Al-Khatib, Linquist and Fischer2017b; Smith Reference Smith1988). Rice treated with pendimethalin caused increased injury with increasing rates when applied at 5 and 10 DAS; however, at 15 DAS, injury was similar across rates, which suggests that after rice reaches the 3- to 4-leaf stage, pendimethalin injury may not affect rice development. Absorption of pendimethalin can cause greater growth disturbance at earlier seedling stages when the grass seedling coleoptile emerges at the surface of the soil and comes in contact with the herbicide as demonstrated by Knake and Wax (Reference Knake and Wax1968) with the grass weed giant foxtail. Pendimethalin remains on the upper soil surface due to its physiochemical properties (Makkar et al. Reference Makkar, Kaur, Kaur and Bhullar2019); therefore, once the seedling growing points are further above the upper soil surface there is a potential to overcome pendimethalin injury.

An interaction with year and between formulation and timing for grain yield occurred (Table 6). In both years, rice grain yield was similar across timings with the GR and CS formulations, but not with the EC formulation (Table 6). Timing was most influential on grain yield with the EC formulation. Overall, similar grain yield was achieved from rice treated with the GR formulation across all rates and timings in 2020 and similarly in 2021 (Table 6). GR is formulated to slowly release the active ingredient, which results in a reduction of crop injury (Hatzinikolaou et al. Reference Hatzinikolaou, Eleftherohorinos and Vasilakoglou2004). The active ingredient is adsorbed onto inert materials and slowly activated (Hatzinikolaou et al. Reference Hatzinikolaou, Eleftherohorinos and Vasilakoglou2004). These characteristics of the GR formulation may have allowed more rice seedlings to establish by not being exposed to high concentrated levels of the active ingredient at once.

Table 6. Rice grain yield as effected by the application of three pendimethalin formulations averaged over three rates at three timings in 2020 and 2021 on water-seeded rice. a d

a Abbreviations: CS, capsule suspension; DAS, days after seeding; EC, emulsifiable concentrate; GR, granule.

b Results presented are averaged over the three rates.

c Interaction by year was observed, P < 0.001. Model output recorded differences across formulations, P < 0.001, rates, P < 0.001, application timing, P = 0.002, rates × application timing, P < 0.001, and formulation × application timing, P = 0.011. No differences were observed for formulation × rate, P = 0.066, and formulations × rates × application timing, P = 0.315.

d Means with the same letter within each column do not differ according to Tukey’s honestly significant difference test, α = 0.05.

In addition, there was an interaction between rates with timings for grain yield (Table 7). Rice treated with 1.1 kg ha−1 at all timings produced similar grain yield in both years, and it was similar when treated with 2.3 kg ha−1 at 10 and 15 DAS, and with 3.4 kg ha−1 at 15 DAS (Table 7). Pendimethalin applied to rice at 3.4 kg ha−1 at 15 DAS resulted in an increased yield by 3,014 kg ha−1 of grain in both years when compared with the 5 and 10 DAS timings (Table 7). The results demonstrate that formulation, rate, and timing are important factors to achieve adequate grain yield in water-seeded rice with use of pendimethalin. An application of pendimethalin to dry-seeded rice in Bangladesh decreased grain yields by 44% to 50% when pendimethalin was applied 2 DAS compared with the weed-free check (Ahmed and Chauhan Reference Ahmed and Chauhan2015). Application timing or soil saturation timing is an important influence on rice injury after a pendimethalin application in dry-seeded systems (Awan et al. Reference Awan, Sta Cruz and Chauhan2016). In the water-seeded system, application timing is an important factor.

Table 7. Rice grain yield as effected by the application of three pendimethalin rates averaged over three formulations at three timings in 2020 and 2021 on water-seeded rice. a d

a Abbreviation: DAS, days after seeding.

b Results presented are averaged over the three formulations.

c Interaction by year was observed, P < 0.001. Model output recorded differences across formulations, P < 0.001, rates, P < 0.001, application timing, P = 0.002, rates × application timing, P < 0.001, and formulation ×application timing, P = 0.011. No differences were observed for formulation × rate, P = 0.066, and formulations × rates × application timing, P = 0.315.

d Means with the same letter within each column do not differ according to Tukey’s honestly significant difference test, α = 0.05.

Greenhouse Experiment, Cultivar Response

Stand reduction was influenced by cultivar, formulation, rate, and timing (Table 8). In general, rice treated at 5 DAS resulted in up to 68% stand reduction across cultivars for both CS and GR formulations (Table 8). At 5 DAS, stand was reduced after application of both formulations for M-105, M-205, M-206, and M-209 cultivars (Table 8). Only S-102 at the 5 DAS timing resulted in less than 54% reduction (Table 8). At 10 DAS, S-102 and M-206 did not exhibit stand loss across rates, whereas M-105 resulted in a 21% decrease in stand after a 2.3 kg ha−1 application compared to 1.1 kg ha−1 (Table 8). However, the stand reduction after 10 DAS applications was zero to 29% for all cultivars (Table 8).

Table 8. Percent stand reduction of five rice cultivars after application of two pendimethalin formulations at two rates and two application timings in a controlled water-seeded environment. a, b

a Abbreviations: CS, capsule suspension; DAS, days after seeding; GR, granule; HSD, honestly significant difference.

b Means with differences above Tukey’s HSD are significant when compared across the appropriate factors and interactions. Model output demonstrated differences across cultivar, P < 0.001, application timings, P < 0.001, cultivar × formulation, P = 0.045, cultivar × rates, P < 0.001, rates × application timings, P < 0.05. No differences were observed across formulations, P = 0.131, rates, P = 0.277, cultivar × application timings, P = 0.223, formulations × rates, P = 0.152, formulations × application timings, P = 0.469, cultivar × formulations × rates x application timings, P = 0.06.

Koger et al. (Reference Koger, Walker and Krutz2006) observed cultivar differences in pendimethalin applications on long-grain rice in a dry-seeded system. Relative tolerance was attributed to the mesocotyl length of seedling rice, which may vary by cultivar; however, planting depth is also an important factor in dry-seeded rice for achieving pendimethalin tolerance (Ceseski and Al-Khatib Reference Ceseski and Al-Khatib2021; Ceseski et al. Reference Ceseski, Godar and Al-Khatib2022; Koger et al. Reference Koger, Walker and Krutz2006). In water-seeded rice, a mesocotyl is not present on seedlings because the seeds are placed on the soil surface; however, differences in seedling vigor can be important for relative tolerance to pendimethalin. Ceseski and Al-Khatib (Reference Ceseski and Al-Khatib2021) observed that the M-205 and M-209 cultivars had greater seedling vigor than M-105 and M-206, when drill-seeded in a high-clay soil. Additionally, S-102 is a short-grain, very early maturing cultivar (fewer than 80 d to 50% heading) and higher cold temperature tolerance than other common short- and medium-grain rice cultivars (McKenzie et al. Reference McKenzie, Johnson, Tseng, Oster, Hill and Brandon1997). These cultivar characteristics can help us understand the observed relative tolerance to pendimethalin across cultivars in this study.

Dry biomass was affected by rate and timing (Table 9). The higher rate was an important factor in decreasing biomass for S-102 at the 5 DAS from CS and GR applications at 2.3 kg ha−1 (Table 9). Dry biomass was reduced by 77% at 5 DAS compared with the 10 DAS timing averaged across formulations, rates, and cultivars. However, biomass reduction was minimal and not significant at 10 DAS, except for M-205 at 2.3 kg ha−1 GR formulation (Table 9).

Table 9. Dry aboveground biomass reduction of five rice cultivars after application of two pendimethalin formulations at two rates and two application timings in a controlled water-seeded environment. a, b

a Abbreviations: CS, capsule suspension; DAS, days after seeding; GR, granule; HSD, honestly significant difference.

b Means with differences above Tukey’s HSD are significant when compared across the appropriate factors and interactions. Model output demonstrated differences across rates, P = 0.008, application timings, P < 0.001, cultivar × rate, P = 0.006, rate × application timing, P = 0.004, and formulation × application timing, P < 0.05. No differences were observed across cultivar, P = 0.181, formulations, P = 0.614, cultivar × formulation, P = 0.337, cultivar × application timings, P = 0.481, formulation × rate, P = 0.755, and cultivar × formulation × rate × application timings, P = 0.159.

Awan et al. (Reference Awan, Sta Cruz and Chauhan2016) observed a decrease in rice seedling biomass in dry-seeded rice when pendimethalin was applied at 2.0 kg ha−1, but not at 1.0 kg ha−1. Similarly, in this study, biomass reduction was rate-dependent for M-205. Plant height measurements had no difference across treatments and were similar to the nontreated by time of biomass harvest (data not shown). Awan et al. (Reference Awan, Sta Cruz and Chauhan2016) did observe a decrease in plant height in plots treated with pendimethalin in a dry-seeded system with no recovery by the final evaluation.

Practical Implications

Pendimethalin is currently not available for water-seeded rice, but it can be a valuable tool if it were to be introduced for management of herbicide-resistant grasses in California water-seeded rice. The CS and GR formulations are most appropriate for water-seeded rice. These results indicate rice crop injury is reduced with a postemergence application after the 3- to 4-leaf stage rice in a water-seeded system. Pendimethalin is not a stand-alone herbicide and will need to be accompanied by other available herbicides to achieve season-long weed control. In general, most rice cultivars tested were relatively tolerant to pendimethalin after a 3-leaf stage application; furthermore, cultivars with lower seedling vigor scores may become more injured from a pendimethalin postemergence application. The results provide supporting data for the registration of pendimethalin use in water-seeded rice production and provide a base knowledge from which further research should be conducted to enhance its use in this system.

Acknowledgments

We thank the California Rice Research Board and BASF for providing funding for this project; the California Rice Experiment Station staff for their support in field management; and the various past and present laboratory members who assisted with this project, in particular Saul Estrada and Dr. Alex R. Ceseski. We also acknowledge the D. Marlin Brandon Rice Research Fellowship by the California Rice Research Trust, and the Department of Plant Sciences, UC-Davis for the award of a GSR scholarship funded by endowments, particularly the James Monroe McDonald Endowment, administered by UCANR, which supported the student.

Competing interests

The authors declare none.

Footnotes

Associate Editor: Eric Webster, Louisiana State University AgCenter

References

Ahmed, S, Chauhan, BS (2015) Efficacy and phytotoxicity of different rates of oxadiargyl and pendimethalin in dry-seeded rice (Oryza sativa L.) in Bangladesh. Crop Prot 72:169174 CrossRefGoogle Scholar
Appleby, AP, Valverde, BE (1989) Behavior of dinitroaniline herbicides in plants. Weed Technol 3:198206 CrossRefGoogle Scholar
Awan, TH, Sta Cruz, PC, Chauhan, BS (2016) Effect of pre-emergence herbicides and timing of soil saturation on the control of six major rice weeds and their phytotoxic effects on rice seedlings. Crop Prot 83:3747 CrossRefGoogle Scholar
Barrett, MR, Lavy, TL (1983) Effects of soil water content on pendimethalin dissipation. J Environ Qual 12:504508 CrossRefGoogle Scholar
Becerra-Alvarez, A, Ceseski, AR, Al-Khatib, K (2022) Weed control and rice response from clomazone applied at different timings in a water-seeded system. Weed Technol 36:414418 CrossRefGoogle Scholar
Becerra-Alvarez, A, Godar, A, Ceseski, AR, Al-Khatib, K (2023) Annual field survey of California rice weeds helps establish a weed management decision framework. Outlooks Pest Manag 34(2):5157 CrossRefGoogle Scholar
Bond, JA, Walker, TW, Koger, CH (2009) Pendimethalin applications in stale seedbed rice production. Weed Technol 23:167170 CrossRefGoogle 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
Ceseski, AR, Al-Khatib, K (2021) Seeding depth effects on elongation, emergence, and early development of California rice cultivars. Crop Sci 61:20122022 CrossRefGoogle Scholar
Ceseski, AR, Godar, AS, Al-Khatib, K (2022) Combining stale seedbed with deep rice planting: a novel approach to herbicide resistance management? Weed Technol 36:261269 CrossRefGoogle Scholar
Chauhan, BS, Jabran, K, Mahajan, G, eds. (2017) Rice production worldwide (Vol. 247). Cham, Switzerland: Springer International Publishing.CrossRefGoogle Scholar
Driver, KE, Al-Khatib, K, Godar, A (2020) Bearded sprangletop (Diplachne fusca ssp. fascicularis) flooding tolerance in California rice. Weed Technol 34:193196 CrossRefGoogle Scholar
Fischer, AJ, Comfort, MA, Bayer, DE, Hill, JE (2000) Herbicide-resistant Echinochloa oryzoides and E. phyllopogon in California Oryza sativa fields. Weed Sci 48:225230 CrossRefGoogle Scholar
Hatzinikolaou, AS, Eleftherohorinos, IG, Vasilakoglou, IB (2004) Influence of formulation on the activity and persistence of pendimethalin. Weed Technol 18:397403 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
Knake, EL, Wax, LM (1968) The importance of the shoot of giant foxtail for uptake of preemergence herbicides. Weed Sci 16:393395 CrossRefGoogle Scholar
Koger, CH, Walker, TW, Krutz, LJ (2006) Response of three rice (Oryza sativa) cultivars to pendimethalin application, planting depth, and rainfall. Crop Prot 25:684689 CrossRefGoogle Scholar
Kuznetsova, A, Brockhoff, PB, Christenson, RHB (2017) LMERTEST package: tests in linear mixed effects models. J Stat Soft 82:126 CrossRefGoogle Scholar
Lenth, RV (2020) EMMEANS: Estimated marginal means, aka least-square means. R Package v. 1.5.3. https://CRAN.R-project.org/package=emmeans. Accessed: November 20, 2022Google Scholar
Makkar, A, Kaur, P, Kaur, P, Bhullar, MS (2019) Dissipation of pendimethalin in soil under direct seeded and transplanted rice field. Bull Environ Contam Toxicol 104:293300 CrossRefGoogle ScholarPubMed
McCarty, LB, Porter, DW, Colvin, DL, Shilling, DG, Hall, DW (1995) Controlling two sprangletop (Leptochloa spp.) species with preemergence herbicides. Weed Technol 9:2933 CrossRefGoogle Scholar
McKenzie, KS, Johnson, CW, Tseng, ST, Oster, JJ, Hill, JE, Brandon, DM (1997) Registration of ‘S-102’ rice. Crop Sci 37:10181019 CrossRefGoogle Scholar
Osterholt, MJ, Webster, EP, Blouin, DC, McKnight, BM (2019) Overlay of residual herbicides in rice for improved weed management. Weed Technol 33:426430 CrossRefGoogle Scholar
R Development Core Team (2022) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/. Accessed: November 16, 2022Google Scholar
Rao, AN, Wani, SP, Ramesha, MS, Ladha, JK (2017) Rice production systems. In Chauhan, BS, et al. eds. (2017). Rice production worldwide (Vol. 247). Cham, Switzerland: Springer International Publishing Google Scholar
Smith, RJ (1988) Weed thresholds in southern U.S. rice, Oryza sativa . Weed Technol 2:232241 CrossRefGoogle Scholar
Smith, RJ (1983) Competition of bearded sprangletop (Leptochloa fascicularis) with rice (Oryza sativa). Weed Sci 31:120123 CrossRefGoogle Scholar
[UCANR] University of California Division of Agriculture and Natural Resources (2023) Rice Production Manual 2023. Davis: University of California Agronomy Research and Information Center Rice. 149 p Google Scholar
Figure 0

Table 1. Significance of main effects of formulation, timing, rate, and interactions among the main effects for grass weed control.a,b

Figure 1

Table 2. Echinochloa control as affected by the application of pendimethalin formulations by timings, averaged over rates in 2020 and 2021 on water-seeded rice.a,b,c

Figure 2

Table 3. Sprangletop control as affected by application of three pendimethalin formulations and three timings averaged over rates in 2020 and 2021 on water-seeded rice.a,b

Figure 3

Table 4. Visual rice injury as effected by the application of three pendimethalin formulations at three rates, and three timings in 2020 and 2021 on water-seeded rice.a,b,c

Figure 4

Table 5. Rice tiller counts as effected by the application of three pendimethalin formulations at three rates, and three timings in 2020 and 2021 on water-seeded rice.ad

Figure 5

Table 6. Rice grain yield as effected by the application of three pendimethalin formulations averaged over three rates at three timings in 2020 and 2021 on water-seeded rice.ad

Figure 6

Table 7. Rice grain yield as effected by the application of three pendimethalin rates averaged over three formulations at three timings in 2020 and 2021 on water-seeded rice.ad

Figure 7

Table 8. Percent stand reduction of five rice cultivars after application of two pendimethalin formulations at two rates and two application timings in a controlled water-seeded environment.a,b

Figure 8

Table 9. Dry aboveground biomass reduction of five rice cultivars after application of two pendimethalin formulations at two rates and two application timings in a controlled water-seeded environment.a,b