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 to the non-treated, 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 scaled to a meter squared area for presentation. Rice grain was hand harvested from two 1-m2 quadrats in each plot and mechanically threshed . Grain was then cleaned and weighed, and adjusted to 14% moisture.An experiment to compare rice cultivar response 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 mediumgrain cultivars produced in California. CS and GR formulations were applied at 5 and 10 DAS at1.1 kg ai ha-1 and 2.3 kg ai ha-1 . Three experimental runs were conducted separated by 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 the field site soil above, was used to fill 34-cm by 12-cm by 12-cm plastic containers, with drainage openings on the bottom, and placed inside larger 58-cm by 41-cm by 31-cm plastic containers, vertical racking with no drainage. Seeds were pregerminated by placing the different cultivar seeds inside cloth bags and in five-gallon 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 rerandomized every seven days. Copper sulfate crystals were applied by hand at 13 kg ha-1 three 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, above ground biomass was harvested from each plot and dry biomass was recorded. The greenhouse was maintained at 33/25 ± 2C day/night temperature. A 16-hr photoperiod was provided and natural light was supplemented with metal halide lamps at 400 µ mol m-2 sec-1 photosynthetic photon flux. The CS formulation was applied using a track-sprayer at 187 L ha-1 with a single 8001EVS nozzle by placing container inside the spray chamber with a height of 43 cm from the surface of the floodwater to the spray nozzle. The GR formulation was spread by hand in each respective tub, calculated by the area of the larger plastic container.All statistical analysis was conducted on R with the use of the LMERTEST and EMMEANS packages . Data was subjected to linear mixed effects regression models and mean separation, when appropriate, with Tukey’s HSD 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.
Normality of distribution were visually examined with quantile-quantile plots and linearity were visually examined by plotting residuals.There was interaction by year for Echinochloa spp. control . In 2020, 330 ± 8 Echinochloa spp. plants m-2 was observed in the non-treated, while in 2021, 180 ± 2 Echinochloa spp. plants m-2 was observed by 56 DAT . The field site previously recorded variations in weed species populations by year caused by differences in weather conditions and soil seedbank . The cyhalofop and propanil application influenced the grass control levels observed in 2020. Interaction effect across formulation with timing were observed for Echinochloa control both years . 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 theEC formulation; however, the differences were not observed after application of GR and CS formulations . 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 . Application rates impacted grass control across timings in 2020 and across formulation in 2021 Interaction of rate with timing in 2020 and rate with formulation in 2021 were observed . The Echinochloa control results are not consistent with Ahmed and Chauhan findings who repeatedly demonstrated an increase in grass control with an increase in pendimethalin rates in a dry-seeded rice system. In the water-seeded rice system, pendimethalin degradation will be increased compared to a dry-seeded system ; therefore, greater pendimethalin rates may be necessary to observe an effect. Transformations on the sprangletop control data did not help meet the assumptions of normality of distribution; therefore, the data is presented as if normality was met. Only pendimethalin timing and rate appeared to affect sprangletop control .
The bearded sprangletop population is minimal and previously observed by Brim-DeForest et al. . Therefore, the control results from pendimethalin may not be comparable to fields with greater sprangletop pressure and because of the population differences each year control levels are unclear. In this study, the flood was continuous and pendimethalin application was into the water. The flood may have also been a factor in suppression of sprangletop .There was treatment interaction by year for visual rice injury but not across assessment dates . Injury differed across formulation, rate and timing . Rice treated at the 15 DAS timing had the lowest injury levels, but differed across formulations . Theresults demonstrate that different formulations resulted in varying rice injury levels, which is similar to the results of Hatzinikolaou et al. who evaluated pendimethalin injury on various grass crop species. In 2020, tiller counts ranged from 30 to 200 tillers m-2 . In 2021, however, tiller counts were higher, ranging from 200 to 500 m-2 . After a GR and CS application, rice tillers were similar across timings; however, after EC application at 15 DAS tillers was higher. The rice treated at 15 DAS produced similar tiller numbers when treated at 10 DAS but not when treated at 5 DAS with pendimethalin applied at the 2.3 and 3.4 kg ha-1 from the EC formulations . Differences in formulations by application timings was evident and resulted in varying injury levels effected by the formulation. 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. Rice treated with pendimethalin showed increased injury with increasing rates when applied at the 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, rolling benches pendimethalin injury may not impact rice development. Absorption of pendimethalin can cause greater growth disturbance at earlier seedling stages when the grass seedling coleoptile is emerging at the surface of the soil and comes in contact with the herbicide as demonstrated by Knake and Wax with the grass weed, giant foxtail. Pendimethalin remains on the upper soil surface due to its physico-chemical properties ; therefore, once the seedling growing points are further above the soil surface there is a potential to overcome pendimethalin injury.An interaction in year was observed for grain yield. Interaction effect by formulation with timings were observed for grain yield . In both years, rice grain yield was similar across timings with the GR and CS formulations, but not with the EC formulation . Timing was most influential on grain yield with the EC. Overall, similar grain yield was achieved from rice treated with the GR across all rates and timings in 2020 and similarly in 2021 . The GR is formulated as a slow-release of the active ingredient which results in a reduction of crop injury . These characteristics of the GR may have allowed more rice seedlings to establish by not being exposed to high concentrated levels of the active ingredient at once. There was a rate by timing interaction for grain yield . Rice treated with 1.1 kg ha-1 at all timings produced similar grain yield in both years, which were similar to yield in plots when treated with 2.3 kg ha-1 at 10 and 15 DAS, and with 3.4 kg ha-1 at 15 DAS . Pendimethalin applied to rice at 3.4 kg ha-1 at 15 DAS timing had greater yield by 3,014 kg ha-1 of grain in both years when compared to the 5 and 10 DAS timings at 3.4 kg ha-1 .
The results demonstrate that formulation, rate and timing are important factors affecting grain yield in water-seeded rice with use of pendimethalin. An application of pendimethalin in dry-seeded rice in Bangladesh decreased grain yields by 44% to 50% when pendimethalin was applied 2 DAS compared to the weed-free check . Application timing or soil saturation timing is an important influence on rice injury after a pendimethalin application in dry-seeded systems . In the water-seeded system, application timing is the important factor. While not included in the analysis, the grain yields of the non-treated plots in 2020 were extremely weedy and attempts to harvest failed and yield was recorded as zero. In 2021, thenon-treated plots averaged yields of 2,450 ± 340 kg ha-1 . The yields recorded in this study after pendimethalin treatment were low compared to statewide average yields and potentially affected by the pendimethalin application.Stand reduction was influenced by cultivar, formulation, rate and timing . In general, rice treated at 5 DAS resulted up to 68% stand reduction across cultivars for both CS and GR formulations . At 5 DAS, stand was reduced after application of both formulations for ‘M-105’, ‘M-205’, ‘M-206’ and ‘M-209’ . Only ‘S-102’ at the 5 DAS timing resulted in less than 54% reduction . At 10 DAS, ‘S-102’ and ‘M-206’ did not show stand loss across rates, while ‘M-105’ resulted up to 21% decrease in stand after a 2.3 kg ha-1 application compared to a 1.1 kg ha-1 . However, stand reduction after 10 DAS applications were zero to 29% for all cultivars . Koger et al. observed differential cultivar response from pendimethalin applications on long grain rice in a dry-seeded system. Relative tolerance was attributed to 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 . In water-seeded rice, a mesocotyl is very short 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 observed ‘M-205’ and ‘M-209’ to have greater seedling vigor when compared to ‘M-105’ and ‘M-206’, when drill-seeded in a high clay soil. The cultivar vigor characteristic differences can help understand the observed relative tolerance to pendimethalin across cultivars in this Rice biomass was affected by pendimethalin rate and timing . 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 . Dry biomass was reduced by 77% at 5 DAS compared to 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 . Awan et al. 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 was no different among treatments and were similar to the non-treated by time of biomass harvest .