Response of Sensitive and Resistant Snap Bean Genotypes to Nighttime Ozone Concentration

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Kirsten L. Lloyd Department of Plant Science, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802

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Donald D. Davis Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, 211 Buckhout Laboratory, University Park, PA 16802

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Richard P. Marini Department of Plant Science, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802

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Dennis R. Decoteau Department of Plant Science, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802

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Abstract

Effects of nighttime (2000 to 0700 hr) O3 on the pod mass of sensitive (S156) and resistant (R123) snap bean (Phaseolus vulgaris) genotypes were assessed using continuous stirred tank reactors located within a greenhouse. Two concentration-response relationship trials were designed to evaluate yield response to nighttime O3 exposure (10 to 265 ppb) in combination with daytime exposure at background levels (44 and 62 ppb). Three replicated trials tested the impact of nighttime O3 treatment at means of 145, 144, and 145 ppb on yields. In addition, stomatal conductance (gS) measurements documented diurnal variations and assessed the effects of genotype and leaf age. During the concentration-response experiments, pod mass had a significant linear relationship with the nighttime O3 concentration across genotypes. Yield losses of 15% and 50% occurred at nighttime exposure levels of ≈45 and 145 ppb, respectively, for S156, whereas R123 yields decreased by 15% at ≈150 ppb. At low nighttime O3 levels of ≈100 ppb, R123 yields initially increased up to 116% of the treatment that received no added nighttime O3, suggesting a potential hormesis effect for R123, but not for S156. Results from replicated trials revealed significant yield losses in both genotypes following combined day and night exposure, whereas night-only exposure caused significant decreases only for S156. The gS rates ranged from less than 100 mmol·m−2·s−1 in the evening to midday levels more than 1000 mmol·m−2·s−1. At sunrise and sunset, S156 had significantly higher gS rates than R123, suggesting a greater potential O3 flux into leaves. Across genotypes, younger rapidly growing leaves had higher gS rates than mature fully expanded leaves when evaluated at four different times during the day. Although these were long-term trials, gS measurements and observations of foliar injury development suggest that acute injury, occurring at approximately the time of sunrise, also may have contributed to yield losses. To our knowledge, these are the first results to confirm that the relative O3 sensitivity of the S156/R123 genotypes is valid for nighttime exposure.

Tropospheric O3 pollution causes yield losses to sensitive plant species throughout the world. Analyses of historical data (1980–2011) produced loss estimates of 5% and 10% for soybean (Glycine max) and corn (Zea mays), respectively, in the United States (McGrath et al., 2015). Other projections have suggested that, globally, O3 impacts on economically important crops may result in up to 15% yield losses (Ainsworth, 2017; Booker et al., 2009). Vulnerable horticultural species include grape (Vitis vinifera), potato (Solanum tuberosum), bean (Phaseolus vulgaris), tomato (Solanum lycopersicum), watermelon (Citrullus lanatus), and lettuce (Lactuca sativa) (Booker et al., 2009; U.S. Environmental Protection Agency, 2013). In addition to North America, other regions where ambient O3 threatens vegetation due to emissions of chemical precursors and conducive climatic conditions include southern Europe, northern India, northwestern and eastern China, Korea, and Japan (Mills et al., 2018). Furthermore, successful efforts by the Chinese government to reduce particulate matter pollution that began 2013 have inadvertently increased O3 levels by increasing the availability of precursor pollutants (i.e., particulate matter may react with precursor pollutants, thus preventing O3 formation) (Li et al., 2018).

In most locations, ambient O3 concentrations follow a diurnal pattern, with a peak at midafternoon, driven by incoming solar radiation, and a minimum after sunset as O3 is continuously converted back to NO2 and O2 in the presence of NO (U.S. Environmental Protection Agency, 2013). However, rural areas and high elevations can experience relatively stable O3 concentrations throughout the day (Emberson et al., 2000; Forlani et al., 2005; Musselman and Minnick, 2000; U.S. Environmental Protection Agency, 2013). Because a broad range of plant species has measurable rates of nighttime gS (Caird et al., 2007; Dawson et al., 2007; Musselman and Minnick, 2000), ambient O3 can enter the leaf and cause foliar injury outside of daylight hours. Recent research indicates that elevated O3 during the daytime can impact gas exchange, thus causing increased rates of nighttime gS (Hoshika et al., 2019), potentially increasing nocturnal O3 flux into the leaf. However, a better understanding of the potential for nighttime O3 injury is needed to establish dose-response models and direct air quality policies (U.S. Environmental Protection Agency, 2013).

Previous results have demonstrated that nighttime O3 exposure can cause foliar injury and/or yield losses in multiple species (Goknur and Tibbitts, 2001; Günthardt-Goerg, 1996; Lee and Hogsett, 1999; Matyssek et al., 1995; Winner et al., 1989). However, Lloyd et al. (2018) reported that treatment from 2000 to 0700 hr at concentrations ≤78 ppb O3 for 21 d had no discernible impacts on yields of O3-sensitive snap beans, even in combination with daytime O3. In contrast, daytime (0800–1900 hr) O3 exposure at ≥62 ppb caused foliar injury and significant yield decreases.

Using a pair of O3-sensitive (S156) and O3-resistant (R123) snap beans bred by the U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS) (Flowers et al., 2007; Reinert and Eason, 2000), we attempted to determine how the genotypes respond to a wide range of nighttime O3 levels. First, two separate trials were performed to determine the relationship between nighttime O3 and pod mass at concentrations ranging from 10 to 265 ppb O3 in combination with realistic levels of daytime O3. Based on those results, our second objective was to confirm whether nighttime O3 treatment consistently impacts snap bean yields and to determine how gS rates vary diurnally and in response to O3. Therefore, the effects of nighttime O3 treatment (≈145 ppb) and genotype on pod mass and gS were tested in three replicated trials (n = 6–8). The first trial included daytime O3 exposure (56 ppb) and the nighttime treatment. Plants were exposed to O3 during the nighttime only during the subsequent two trials. The “nighttime” treatment (2000–0700 hr) included the overnight period excluded by many exposure metrics, such as the 12-h W126 index, which considers cumulative O3 concentrations from 0800 to 2000 hr (U.S. Environmental Protection Agency, 2015). Finally, because foliar injury symptoms suggested rapidly growing leaves may be more sensitive to nighttime O3 than fully expanded leaves, the effect of leaf “age” (i.e., young vs. mature) as a proxy for developmental stage on gS rates was evaluated.

Materials and Methods

Experiments were conducted within a greenhouse at the University Park campus of The Pennsylvania State University (lat. 40.805640°N, long. 77.852356°W). Ozone treatments were administered in 16 continuous stirred tank reactors (CSTR) (Heck et al., 1978), as described by Lloyd et al. (2018). Natural light entered the CSTRs through 76.2-μm transparent polytetrafluoroethylene film, supplemented on cloudy days by a 1000-W lamp positioned over each CSTR (Lumalux; GTE Products Corp., Danvers, MA). Charcoal filtration reduced ambient O3 levels within the greenhouse. Ozone for the experimental treatments was generated from dried air using an electric current (Z-08; Zentox Corp., Newport News, VA), distributed to the CSTRs via polytetrafluoroethylene tubing and monitored as described by Lloyd et al. (2018). Results from calibration trials using dried air as a feed gas for the O3 generator showed that at O3 concentrations in the CSTRs up to 330 ppb, total N oxidant (i.e., the sum of NO, NO2, N2O5, and HNO3) concentrations did not exceed 9.2 ppb (Lloyd, 2019). Therefore, only O3 was present at phytotoxic levels (Stripe et al., 2014; U.S. Environmental Protection Agency, 1993, 2012). Ozone concentrations (Model 49 Photometric Ozone Analyzer; Thermo Environmental Corp., Franklin, MA) as well as air temperature and relative humidity (RH) measurements (HX93BC; Omega Engineering, Stamford, CT) were recorded for each CSTR and the ambient greenhouse space using custom data acquisition software (REAL Controls, Salix, PA). Photosynthetically active radiation (PAR) was determined from quantum sensors (LI-190R; LI-COR, Lincoln, NE) that were positioned at canopy height in eight CSTRs. On hot, sunny days, air temperature was moderated by closing the overhead greenhouse shadecloth, thereby reducing PAR levels.

Plant material.

Kent O. Burkey (USDA-ARS, Raleigh, NC) provided seeds of O3-sensitive (S156) and O3-resistant (R123) genotypes. Under ambient greenhouse conditions, three seeds were sown on the dates shown in Table 1 in 3.8-L pots (height, 20 cm; width, 18 cm), except for the night-only trial in Fall 2017, which used 2.8-L pots (height, 17 cm; width, 18 cm). When the first trifoliate leaves began to expand, plants were thinned to one per pot. The growth medium was a commercial potting mix containing 63% to 73% peatmoss, perlite, and dolomitic limestone (Sunshine Mix #4; Sun Gro Horticulture, Agawam, MA), supplemented with 15 g 15N–3.93P–9.96K fertilizer (Osmocote Plus; The Scotts Co., Marysville, OH). Plants were watered manually to pot capacity before and after O3 treatments during the experimental period.

Table 1.

Seeding dates for snap bean with the number of days until flowering and the start and end of each O3 treatment period for five long-term trials of yield response to O3.

Table 1.

Concentration-response trials.

Two experiments evaluated a range of nighttime O3 levels (10–265 ppb) in combination with daytime exposure at 44 and 63 ppb for Summer 2016 and Spring 2017, respectively (Table 2). Plants were treated with O3 for 15 d in 2016 and for 20 d in 2017 (Table 1). During the day, plants were randomly placed in one of five adjacent CSTRs and exposed to the same target O3 concentration. One additional CSTR served as a control (ambient, no added day or night O3). In Summer 2016, the mean daytime exposure duration was 7.8 h; it started between 0830 and 1030 hr each day. In Spring 2017, the mean duration was 7.2 h; it started between 0900 and 1145 hr each day (Table 1). In Spring 2017, before the 20-d treatment, plants were acclimated to increasing O3 levels over the course of 3 d for 8 h·d−1 at mean concentrations 30, 42, and 39 ppb, consecutively, to decrease the chance of acute foliar injury.

Table 2.

Mean, sd, and maximum (max) concentrations for ambient (control) and O3 treatments during day and night periods over the duration of five long-term trials, including Fall 2017a (day + night O3) and Fall 2017b (night-only O3), evaluating the response of snap bean to O3 concentrations.

Table 2.

For the nighttime treatments, plants were transferred to 11 CSTRs that had been randomly assigned and calibrated to encompass a range of O3 levels from ambient (no added O3) to 265 ppb (Table 2). In both trials, nighttime treatments began at 2000 hr, and O3 concentrations were increased gradually to prevent acute injury. In Summer 2016, CSTRs reached target O3 levels within 0.75 h, and treatments ended the next morning at 0730 hr. For all subsequent trials, nighttime treatments concluded at 0700 hr to minimize the risk of acute injury with increasing morning PAR levels. In Spring 2017, O3 concentrations reached target levels within 1 to 1.25 h and ended the next morning at 0700 hr. Total treatment hours are summarized in Table 1. Mean temperature, RH, and PAR values across CSTRs are provided in Table 3.

Table 3.

Mean, sd, minimum (min), and maximum (max) values across all treatment chambers for air temperature, relative humidity (RH), and photosynthetically active radiation (PAR) reported for day and night O3 exposure periods in four long-term trials that evaluated the response of snap bean to O3 concentrations.

Table 3.

Targeted reduction trials.

Three replicated trials tested the effect of nighttime O3 exposure at 145 ppb O3; the target was to reduce yields of R123 and S156 by 15% and 50%, respectively, based on the results of the concentration-response experiments. The two nighttime O3 treatments, a control (ambient levels with no added O3) and 145 ppb O3, were applied from 2000 to 0700 hr. In 2017, experiments included a day and night trial (Fall 2017a) and a night-only trial (Fall 2017b). Spring 2018 treatments were applied at night only.

In Fall 2017a, plants received day O3 treatments and were acclimated from 1000 to 1800 hr over the course of 2 d at 38 and 51 ppb O3, consecutively, before starting day and night treatments. During the day, O3-treated plants were randomly divided among four adjacent CSTRs that had been calibrated to the same target O3 concentration. Daytime O3 treatments were 6 h in duration (mean, 56 ppb), between 0900 and 1800 hr, over the course of 15 d (Table 1). For the night-only trials (Fall 2017b and Spring 2018), plants were located in a control CSTR (ambient, no added O3) during the day and moved to their assigned nighttime treatment CSTR in the evenings.

Plants were exposed to nighttime O3 for 20 d in Fall 2017 and for 27 d in Spring 2018 (Table 1), and treatment means were 145 ± 1 ppb (Table 2). Temperature, RH, and PAR values across CSTRs are reported in Table 3.

Foliar injury.

The date of onset for foliar injury symptoms and the number of plants with symptoms, along with qualitative descriptions, were recorded for all trials. On selected dates, in coordination with gS measurements, the percent injured leaf area was visually estimated for individual leaves.

Yield.

At the conclusion of the O3 treatment, pods were left on the plants to mature. Irrigation was stopped after the pods began to yellow. Pods were harvested when they were brown or yellow; then, they were dried at 66 °C to a constant weight. Pods with at least one fully developed seed were included in yield measurements.

Stomatal conductance.

The gS was measured in ambient conditions using a leaf porometer (SC-1; Meter Group, Pullman, WA) for the targeted reduction trials in Fall 2017 and Spring 2018. Abaxial and adaxial gS were measured on opposite sides of the midvein of the terminal leaflet and summed to obtain the total gS. Although contrary to the parallel resistance law (Kirkham, 2014), empirical measurements have shown that the sum of the conductances for the abaxial and adaxial leaf surfaces provides a reliable estimate of total leaf conductance (Richardson et al., 2017). Therefore, the use of summed abaxial and adaxial conductance provides a valid parameter for comparing relative conductance rates among times of day, genotypes, and leaf ages. Measurements were performed multiple times during the day, including during light, dark, and transitional (i.e., sunrise and sunset) periods, to document diurnal variations. To determine the effects of genotype and O3, one leaf per plant was measured during different growth stages. Measurements targeted the youngest fully expanded leaf (typically the second or third leaf from the plant apex). In Spring 2018, two leaves per plant subjected to the control treatment were measured during the pod-filling state to determine the effects of genotype and relative leaf age (i.e., young vs. mature) as a proxy for the developmental stage. Rapidly growing leaves were considered “young,” and “mature” leaves were fully expanded in size.

Statistical analyses.

Yields reported for each nighttime O3 concentration and genotype combination in the concentration-response trials represent the mean of two plants per CSTR in Summer 2016 and one plant per CSTR in Spring 2017. Least-squares regression was used to analyze the relationship between the pod mass and nighttime O3 concentration. For each genotype, the null hypothesis was that the slope of the response was equal to 0. Linear regression with an indicator variable and interaction term, genotype × ozone, was used to test the null hypothesis that the slopes of the responses were equal for the two genotypes. The control (no added day or night O3) values represent the mean of four plants per genotype from the same CSTR; they are reported separately from the results of the regression analysis (Fig. 1).

Fig. 1.
Fig. 1.

Relationship between the pod mass and nighttime O3 concentration for sensitive (S156) and resistant (R123) snap bean genotypes in Summer 2016 and Spring 2017. Values for the controls (ambient O3, n = 1 CSTR, mean of 4 plants per genotype) are not shown and were 38.22 and 37.76 g for S156 and R123, respectively, in Summer 2016, and 68.56 and 75.39 g, respectively, in Spring 2017. The interaction of genotype (Gn) × O3 tests the null hypothesis that the slopes of the best-fit lines for S156 and R123 are equal.

Citation: Journal of the American Society for Horticultural Science J. Amer. Soc. Hort. Sci. 145, 6; 10.21273/JASHS04808-19

Targeted reduction trials were designed as split-plot experiments, where O3 was the whole plot and genotype was the split plot. Two CSTRs were assigned to each block with six (Fall 2017) or eight (Spring 2018) replications. Data for pod yields and gS from the three trials were subjected to an analysis of variance using a mixed model with restricted maximum likelihood methodology and Satterthwaite estimation for df (Satterthwaite, 1946). To test the effects of genotype and leaf age (i.e., young vs. mature) on gS in the control treatments during Spring 2018, each plant was an experimental unit, with genotype and age as the whole and split plot factors, respectively. Statistical analyses were conducted using JMP Pro 12 software (SAS Institute, Cary, NC). Results were considered significant at P ≤ 0.05.

Results and Discussion

Concentration-response trials.

In Summer 2016 (no pre-exposure; 44 ppb daytime mean O3), the first foliar injury symptoms appeared in S156 after the second day of treatment on plants exposed to ≥200 ppb O3 at night. After 4 d of treatment (DOT), in combination with a mean 44 ppb O3 during the day, both genotypes exhibited foliar injury, with more severe symptoms on S156. In Spring 2017 (65 ppb daytime mean O3), the 3-d pretreatment from 0900 to 1700 hr with mean O3 levels ranging from 30 to 42 ppb caused minor injury to the primary leaves of both S156 and R123, with stippling on some trifoliate leaves of S156 only. In both trials, high nighttime O3 treatments caused stippling, bifacial necrosis, and marginal curling. Premature leaf abscission occurred with nighttime O3 levels ≥200 ppb for S156 and ≥250 ppb for R123.

In Summer 2016 and Spring 2017, pod mass for both genotypes had a negative linear relationship with nighttime O3 concentration (Fig. 1). In all cases, slopes were statistically significant (P < 0.0001 for S156; P < 0.02 for R123). However, considering the observed variation and lack of replication, the effect of O3 on R123 in Summer 2016 (P = 0.02) may not indicate biological significance at the experimental O3 levels. Nighttime O3 treatment explained more variation in S156 yields (r2 = 0.89 to 0.91) than in R123 yields (r2 = 0.47 to 0.59) and had a greater effect on S156 pod mass, with slope coefficients 2.2- and 2.5-times larger than that of R123 in 2016 and 2017, respectively. As indicated by the interaction of genotype and O3, the slope coefficients of S156 and R123 were significantly different from each other in both 2016 (P = 0.0099) and 2017 (P = 0.0013). To our knowledge, these are the first concentration-response trials of nighttime O3 for snap bean yield. The results establish that the relative O3 sensitivity of the S156/R123 genotype pair is valid for nighttime exposure.

Pod mass ratios (S156:R123) for plants growing in a single control CSTR (no added day or night O3; mean of four subsamples) were 1.01 and 0.91 for Summer 2016 and Spring 2017, respectively (Fig. 1). These ratios agree with those of other studies (Burkey et al., 2005; Flowers et al., 2007), although environmental factors, such as heat stress, can affect pod yields differentially between genotypes (Agathokleous et al., 2017). Comparatively, the Y-intercepts (Fig. 1) at no added night O3 represent the relative effects of daytime O3 treatment on the genotypes. Overall, pod masses were lower in 2016 than in 2017 despite greater daytime O3 levels in Spring 2017 (63 vs. 44 ppb) (Table 2) and longer durations (20 vs. 15 d). Heat stress in Summer 2016, along with lower PAR levels (i.e., the overhead shadecloth was closed to reduce air temperatures) (Table 3), likely decreased yields and dampened the potential effect of nighttime O3 treatment. Mean CSTR air temperatures were 29 and 24 °C in Summer 2016 and Spring 2017, respectively (Table 3).

These results indicate that sensitive genotypes may experience economically significant yield losses (≥5%) when exposed to nighttime O3 in combination with realistic daytime levels. Across both trials, expected yields for S156 decreased by 5% at ≈15 ppb nighttime O3. Losses of 15% and 50% occurred at nighttime exposure levels of ≈45 and ≈145 ppb, respectively. In contrast, R123 yields initially increased at low nighttime O3 levels, reaching maxima at 106 and 97 ppb in Summer 2016 and Fall 2017, respectively (Fig. 1). Relative to the treatment that received no added nighttime O3, R123 yields reached 109% in Summer 2016 and 116% in Fall 2017. These results suggest that nighttime O3 may have stimulated the productivity of R123. Agathokleous et al. (2019a) showed that O3 can induce nonlinear responses with an initial growth enhancement known as hormesis. The authors pointed out that, in such cases, a linear model does not accurately predict the response of vegetation to O3. Instead, a toxicological threshold may be determined as the point where O3 begins to inhibit growth responses. To detect hormetic (biphasic) relationships, particularly at levels in the range of 10% stimulation, experiments must be designed with narrow spacing between O3 treatments and replication to increase statistical power (Agathokleous et al., 2019b). As O3 concentrations increased, at ≈150 ppb, R123 yields decreased by 15%. Therefore, the response of R123 to nighttime O3 treatment appeared to follow a threshold model (Agathokleous et al., 2019b). Notably, nighttime O3 concentrations ≥50 ppb occur in the United States (e.g., central Pennsylvania) (Orendovici, 2005).

Targeted reduction trials.

High air temperatures in Fall 2017 (Table 3) caused minor heat stress symptoms, mainly before O3 treatment. Similar to the concentration-response experiments, foliar injury appeared after the 2-d pretreatment (means of 38 and 51 ppb O3 for 8 h·d−1) in Fall 2017a. After 1 DOT, injury was apparent on the oldest two trifoliate leaves of all S156 plants, including the controls, indicating that daytime exposure alone (56 ppb) caused injury. R123 showed a lower occurrence of injury, with symptoms on 67% of control plants (56 ppb day; no added nighttime O3) and on 17% of plants treated with nighttime O3 (data not shown). Nighttime O3 treatment (145 ppb) incited bifacial necrosis on some plants, which appeared after 2 and 10 DOT in S156 and R123, respectively. Exposure to 56 ppb O3 during the day caused premature leaf abscission in both genotypes. After 15 DOT, injured leaf areas on the youngest fully expanded leaf of S156 ranged from 25% to 60% and 95% to 98% for control and nighttime O3-treated plants, respectively. R123 injured leaf areas ranged from 5% to 15% for the control and 10% to 90% when exposed to nighttime O3 (data not shown). Notably, bifacial necrosis was observed only on plants receiving nighttime O3, indicating potential acute injury during the 2000 to 0700 hr treatment period.

Relative to combined day and night O3 treatment in Fall 2017a, nighttime exposure alone (145 ppb) caused minor injury. In Fall 2017b, a small amount of dark stippling appeared near the base of the oldest trifoliate leaves of S156 after 2 nights of O3 treatment. After 5 DOT, slight injury (≤5% leaf area) occurred on leaves of several S156 plants, with symptoms more frequent on younger trifoliate leaves. No conclusive symptoms were detected on R123 or control plants. After 16 DOT, symptoms on S156 increased, ranging from 2% to 50% leaf area, with no symptoms on R123 (data not shown). Ozone-induced leaf abscission occurred only in S156.

In Spring 2018, foliar injury appeared later on rapidly expanding S156 trifoliate leaves (all eight replications) after 14 DOT. Symptoms included chlorosis and dark, punctiform (i.e., dot-like) lesions on the adaxial surface affecting ≤5% of the leaf area, with two to three injured leaves per plant. Foliar injury was not present on older leaves. Minor foliar injury appeared on R123 after 18 DOT. Symptoms progressed to maroon stipple and bifacial necrosis, with the latter occurring in S156 only. At the conclusion of the O3 treatments, younger leaves, which were rapidly growing during the treatments, showed the highest injury levels. The maximum amount of the symptomatic leaf area occurring on individual leaves was visually estimated as 55% and 15% for S156 and R123, respectively (data not shown).

Across the three trials, nighttime O3 treatment at 145 ppb significantly reduced pod mass in S156 relative to the controls (Fig. 2). The decrease in S156 pod mass was greater in combination with daytime O3 treatment at 56 ppb (Fall 2017a) than for night O3 alone (Fall 2017b and Spring 2018). In contrast, nighttime O3 treatment decreased R123 yields only in combination with daytime O3 exposure (Fall 2017a) (Fig. 2). Exposure to O3 during the day may decrease net photosynthesis and antioxidant pools (Pell et al., 1997; Reich and Amundson, 1985), thus exacerbating the effect of nighttime O3 treatment.

Fig. 2.
Fig. 2.

Pod mass as influenced by nighttime O3 treatment for sensitive (S156) and resistant (R123) snap bean genotypes in three replicated trials. Fall 2017a included daytime treatment at a 56 ppb O3. Durations of nighttime O3 treatment were 20 and 27 d in Fall 2017 and Spring 2018, respectively. The main effects, O3 and genotype, and the interaction were significant in all trials. Within a trial, least-squares means accompanied by the same lowercase letter are not significantly different (P ≤ 0.05) according to Tukey’s honestly significant difference. Error bars represent 1 sd from the mean.

Citation: Journal of the American Society for Horticultural Science J. Amer. Soc. Hort. Sci. 145, 6; 10.21273/JASHS04808-19

In contrast to previous results, which did not show significant yield losses for S156 or R123 at O3 levels ≤75 ppb for periods ≤21 d (Lloyd et al., 2018), the current results revealed that nighttime O3 exposure outside of the 0800 to 2000 hr window typically considered for air quality standards can significantly impact yields of sensitive species. Based on the regressions developed in the concentration-response trials, the 75-ppb nighttime treatment used by Lloyd et al. (2018) is predicted to cause ≈25% and ≈7% decreases in pod masses for S156 and R123, respectively. Although previous results showed a decrease in yields with nighttime treatment, limited replication (n ≤ 4) reduced statistical power to detect differences. Treatment concentrations in the present study (145 ppb) targeted a 50% decrease in S156 yields, and replication was increased (n = 6–8).

Maximum hourly O3 observations recorded over 24-h intervals in severely polluted areas, such as China and India, exceed 145 ppb (Karthik et al., 2017; Wang et al., 2017). However, we are not aware of any locations in the United States where O3 levels ≥145 ppb have been recorded throughout the night hours. Considering the potential for higher O3 toxicity at night relative to the day (e.g., due to low levels of antioxidant defenses) (Musselman and Minnick, 2000), acute exposures occurring from 2000 to 0800 hr may cause injury to sensitive plants. Furthermore, analysis of ambient O3 data from 1000 sites in the United States collected during 1990 to 2014 revealed a statistically significant trend of increasing mean nighttime (1900 to 0700 hr) O3 concentrations, whereas peak daytime O3 levels decreased (Yan et al., 2018). Increasing nighttime O3 was attributed to reduced NOx emissions and the resulting lower rates of O3 destruction due to the reaction with NO.

Stomatal conductance.

Reported values serve as a proxy for potential O3 uptake and are not representative of absolute theoretical measurements under the parallel resistance law (Kirkham, 2014). Conductances for the abaxial and adaxial leaf surfaces were summed to obtain the total leaf conductance (Richardson et al., 2017) because O3 may diffuse into the leaf from both surfaces (Musselman et al., 2006).

Measurements obtained in Fall 2017 and Spring 2018 during morning, midday, and night hours show a wide gS range for S156 and R123 (Table 4), with values lowest after sunset [e.g., Fall 2017b: night only, 44 d after seeding (DAS)] and increasing before sunrise to midday maxima. Rates exceeded 1000 mmol·m−2·s−1, and greater gS was associated with high PAR levels. The lowest midday gS (201–336 mmol·m−2·s−1) occurred in the Fall 2017b night-only trial, at 49 DAS, when the shadecloth was closed due to high air temperatures. Daytime gS rates were generally greater than measurements reported by studies with PAR levels less than 400 to 500 µmol·m−2·s−1 (Hoshika et al., 2013; Li et al., 2017; Salvatori et al., 2013; Stripe et al., 2014; Wang et al., 2015). However, methodological differences may explain some variations. For example, steady-state porometer measurements exceeded values obtained using an IR gas analyzer by 2- to 3.5-fold (Toro et al., 2019). Nonetheless, plants grown under low light conditions, particularly with only supplemental lighting, may respond to O3 differently.

Table 4.

Stomatal conductance (gS) values for the youngest fully expanded leaf of snap bean in three trials as influenced by night O3 treatment from 2000 to 0700 hr (ambient control vs. mean of 144 to 145 ppb of added O3), genotype (sensitive S156 vs. resistant R123), and the interaction of O3 and genotype (Gn), with time periods given for morning and evening measurements.

Table 4.

Nighttime O3 affected gS the evening before (P = 0.001) and morning after (P = 0.044) the first O3 treatment in the Fall 2017b (night-only) trial. If O3 induced stomatal closure (Butler and Tibbits, 1979; Hoshika et al., 2013; Salvatori et al., 2013), then the effect would likely be observed following the nighttime O3 exposure (to the contrary, Hucl et al., 1982). Therefore, the significance of O3 before treatment (22 DAS, 0 DOT) was unexpected because plants for a given replication were located in the same (control) CSTR and removed in pairs immediately before measurement. Notably, rates of gS measured on 0 DOT were small in magnitude and variable, with the sd ranging from 31 to 60 mmol·m−2·s−1 among treatments, suggesting that the statistical difference occurred by chance. The morning after nighttime treatment (23 DAS, 1 DOT), gS rates were higher for plants of both genotypes in the control treatments than for O3-treated plants. Therefore, plants may have responded to O3 treatment with stomatal closure, confirming the observations of Butler and Tibbits (1979), Hoshika et al. (2013), and Salvatori et al. (2013). The effect of O3 was not significant on other dates, but control plants tended to have higher morning gS at 27 DAS (3 DOT) in the Fall 2017a trial (P = 0.052).

Differences between the two genotypes were significant for multiple morning (Fall 2017a, 27 DAS; Fall 2017b, 39 DAS; Spring 2018, 36 and 45 DAS) and evening (Fall 2017a, 26 DAS; Fall 2017b, 44 DAS; Spring 2018, 35 DAS) measurements, with higher gS for S156 than R123 on all dates. Salvatori et al. (2013) also reported higher gS for S156 during the evening. However, genotype did not have a significant effect on midday measurements (Table 4).

For control plants, younger, rapidly expanding leaves had significantly higher gS rates than mature leaves at four times of the day in Spring 2018 (Fig. 3). Mean diameters of the mature trifoliate leaves measured (n = 8) were 26 and 30 cm for S156 and R123, respectively, and for both genotypes, young leaves averaged 16 cm wide (data not shown). The interaction between genotype and age was not significant, indicating that the effect of leaf age was similar for S156 and R123. Midday rates were highest among the measurement times, with gS decreasing in the evening, minimal at night, and beginning to increase before sunrise (Fig. 3), similar to other observations (Table 4). Between the two genotypes, S156 had significantly higher gS than R123 at dawn (0515 to 0630 hr) and in the evening (1945 to 2100 hr) (Fig. 3). Higher gS rates indicate a greater potential O3 flux into the leaf, providing one explanation for the more severe injury observed on younger leaves during the nighttime exposure (Lee and Bennett, 1982) and in S156.

Fig. 3.
Fig. 3.

The stomatal conductance (gS) at four different times of the day (dawn = 0515–0630 hr; midday = 1130–1245 hr; evening = 1945–2100 hr; night = 2200–2300 hr) in snap bean control plants as influenced by genotype (resistant R123 vs. sensitive S156) and leaf age (mature and “fully expanded” vs. young and rapidly growing) during the pod filling stage in Spring 2018. Genotype was significant at dawn (P = 0.003) and evening (P = 0.031), and age was significant at all four times of the day (P ≤ 0.004). The interaction was not significant. Within a measurement time, least-squares means accompanied by the same lowercase letter are not significantly different (P ≤ 0.05) according to Tukey’s honestly significant difference. Error bars represent 1 sd from the mean.

Citation: Journal of the American Society for Horticultural Science J. Amer. Soc. Hort. Sci. 145, 6; 10.21273/JASHS04808-19

Injury observations from the concentration-response and targeted reduction trials suggest that daytime O3 causes greater injury than nighttime exposure, as observed by others (Goknur and Tibbitts, 2001). Night O3 treatment alone caused injury primarily on young, rapidly expanding leaves, which indicates that damage occurred, at least partly, from acute exposure to 145 ppb O3 during the 2000 to 0700 hr treatments. Notably, O3 levels more than 100 ppb are capable of affecting vegetation over short exposure durations (Ainsworth, 2017). Although gS decreased to minimal levels after sunset, measurements recorded during nighttime O3 treatment (2000 to 0700 hr) showed gS rates reaching ≈300 mmol·m−2·s−1 after sunrise (Table 4; see Fall 2017b, 23 and 39 DAS; Spring 2018, 45 DAS), permitting potentially injurious O3 fluxes to enter the leaf. Because O3 concentrations were increased gradually to target levels at the start of nighttime treatments, acute injury likely occurred in the morning, when target O3 concentrations were maintained until 0700 hr. Although some yield loss may have resulted from high O3 fluxes after sunrise, pod mass decreased linearly in response to increasing nighttime O3 concentrations (Fig. 1).

Conclusions

Differences in gS between young and mature leaves (Fig. 3) indicate that researchers may need to measure leaves of different developmental stages to accurately quantify mean O3 flux. Similarly, the plant growth phase may impact exposure-response relationships, particularly at night. For example, two commonly cited studies of damaging nighttime O3 impacts used rapidly growing plant material: 1-year-old container-grown Pinus ponderosa seedlings (Lee and Hogsett, 1999) and first-year hardwood cuttings (Matyssek et al., 1995). High growth and respiration rates likely increase O3 flux into leaves at night, especially under favorable cultural conditions, potentially exaggerating injury levels. In addition, recent work by Grantz et al. (2018) showed that particulate pollution can enhance water loss from leaves. Therefore, in areas with elevated O3, co-occurring particle pollution may increase O3 flux via increased gS.

For a given flux of O3 entering the leaf, plant sensitivity varies diurnally as a function of detoxification capacity (Grantz, 2014; Grantz et al., 2013). Therefore, the “effective flux,” which accounts for plant defense mechanisms (e.g., detoxification by antioxidants), is the most robust predictor of O3 injury (Heath et al., 2009; Lefohn, n.d.; Musselman et al., 2006). Based on the concept of “effective flux,” the development of separate models for night (dark) and day (light) periods may be necessary to develop standards that protect sensitive vegetation from injury. However, researchers must also define “nighttime” exposure to design relevant and comparable experiments and provide data that will allow policymakers to incorporate physiological (e.g., detoxification capacity) and seasonal changes (e.g., variability in daylength) into regulatory standards.

Literature Cited

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  • Fig. 1.

    Relationship between the pod mass and nighttime O3 concentration for sensitive (S156) and resistant (R123) snap bean genotypes in Summer 2016 and Spring 2017. Values for the controls (ambient O3, n = 1 CSTR, mean of 4 plants per genotype) are not shown and were 38.22 and 37.76 g for S156 and R123, respectively, in Summer 2016, and 68.56 and 75.39 g, respectively, in Spring 2017. The interaction of genotype (Gn) × O3 tests the null hypothesis that the slopes of the best-fit lines for S156 and R123 are equal.

  • Fig. 2.

    Pod mass as influenced by nighttime O3 treatment for sensitive (S156) and resistant (R123) snap bean genotypes in three replicated trials. Fall 2017a included daytime treatment at a 56 ppb O3. Durations of nighttime O3 treatment were 20 and 27 d in Fall 2017 and Spring 2018, respectively. The main effects, O3 and genotype, and the interaction were significant in all trials. Within a trial, least-squares means accompanied by the same lowercase letter are not significantly different (P ≤ 0.05) according to Tukey’s honestly significant difference. Error bars represent 1 sd from the mean.

  • Fig. 3.

    The stomatal conductance (gS) at four different times of the day (dawn = 0515–0630 hr; midday = 1130–1245 hr; evening = 1945–2100 hr; night = 2200–2300 hr) in snap bean control plants as influenced by genotype (resistant R123 vs. sensitive S156) and leaf age (mature and “fully expanded” vs. young and rapidly growing) during the pod filling stage in Spring 2018. Genotype was significant at dawn (P = 0.003) and evening (P = 0.031), and age was significant at all four times of the day (P ≤ 0.004). The interaction was not significant. Within a measurement time, least-squares means accompanied by the same lowercase letter are not significantly different (P ≤ 0.05) according to Tukey’s honestly significant difference. Error bars represent 1 sd from the mean.

  • Agathokleous, E., Saitanis, C.J., Burkey, K.O., Ntatsi, G., Vougeleka, V., Mashaheet, A.M. & Pallides, A. 2017 Application and further characterization of the snap bean S156/R123 ozone biomonitoring system in relation to ambient air temperature Sci. Total Environ. 580 1046 1055

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Agathokleous, E., Belz, R.G., Calatayud, V., De Marco, A., Hoshika, Y., Kitao, M., Saitanis, C.J., Sicard, P., Paoletti, E. & Calabrese, E.J. 2019a Predicting the effect of ozone on vegetation via the linear non-threshold (LNT), threshold and hormetic dose-response models Sci. Total Environ. 649 61 74

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Agathokleous, E., Araminiene, V., Belz, R.G., Calatayud, V., De Marco, A., Domingos, M., Feng, Z., Hoshika, Y., Kitao, M., Koike, T., Paoletti, E., Saitanis, C.J., Sicard, P. & Calabrese, E.J. 2019b A quantitative assessment of hormetic responses of plants to ozone Environ. Res. 176 108527

    • Search Google Scholar
    • Export Citation
  • Ainsworth, E.A. 2017 Understanding and improving global crop response to ozone pollution Plant J. 90 886 897

  • Booker, F., Muntifering, R., McGrath, M., Burkey, K., Decoteau, D., Fiscus, E., Manning, W., Krupa, S., Chappelka, A. & Grantz, D. 2009 The ozone component of global change: Potential effects on agricultural and horticultural plant yield, product quality and interactions with invasive species J. Integr. Plant Biol. 51 337 351

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burkey, K.O., Miller, J.E. & Fiscus, E.L. 2005 Assessment of ambient ozone effects on vegetation using snap bean as a bioindicator species J. Environ. Qual. 34 1081 1086

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Butler, L.K. & Tibbits, T.W. 1979 Stomatal mechanisms determining genetic resistance to ozone in Phaseolus vulgaris L J. Amer. Soc. Hort. Sci. 104 213 216

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Caird, M.A., Richards, J.H. & Donovan, L.A. 2007 Nighttime stomatal conductance and transpiration in C3 and C4 plants Plant Physiol. 143 1 10

  • Dawson, T.E., Burgess, S.S.O., Tu, K.P., Oliveira, R.S., Santiago, L.S., Fisher, J.B., Simonin, K.A. & Ambrose, A.R. 2007 Nighttime transpiration in woody plants from contrasting ecosystems Tree Physiol. 27 561 575

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emberson, L.D., Wieser, G. & Ashmore, M.R. 2000 Modelling of stomatal conductance and ozone flux of norway spruce: Comparison with field data Environ. Pollut. 109 393 402

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Flowers, M.D., Fiscus, E.L., Burkey, K.O., Booker, F.L. & Dubois, J.-J.B. 2007 Photosynthesis, chlorophyll fluorescence, and yield of snap bean (Phaseolus vulgaris L.) genotypes differing in sensitivity to ozone Environ. Expt. Bot. 61 190 198

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Forlani, A., Merola, G. & Fagnano, M. 2005 Ozone effects on vegetation in three different localities of Campania region (southern Italy) Fresenius Environ. Bull. 14 478 483

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Goknur, A.B. & Tibbitts, T.W. 2001 Association of dark opening of stomata with air pollution sensitivity of irish potatoes J. Amer. Soc. Hort. Sci. 126 37 43

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grantz, D.A. 2014 Diel trend in plant sensitivity to ozone: Implications for exposure- and flux-based ozone metrics Atmos. Environ. 98 571 580

  • Grantz, D.A., Vu, H., Heath, R.L. & Burkey, K.O. 2013 Demonstration of a diel trend in sensitivity of Gossypium to ozone: A step toward relating O3 injury to exposure or flux J. Expt. Bot. 64 1703 1713

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grantz, D.A., Zinsmeister, D. & Burkhardt, J. 2018 Ambient aerosol increases minimum leaf conductance and alters the aperture–flux relationship as stomata respond to vapor pressure deficit (VPD) New Phytol. 219 275 286

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Günthardt-Goerg, M.S. 1996 Different responses to ozone of tobacco, poplar, birch, and alder J. Plant Physiol. 148 207 214

  • Heath, R.L., Lefohn, A.S. & Musselman, R.C. 2009 Temporal processes that contribute to nonlinearity in vegetation responses to ozone exposure and dose Atmos. Environ. 43 2919 2928

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Heck, W.W., Philbeck, R.B. & Dunning, J.A. 1978 A continuous stirred tank reactor (CSTR) system for exposing plants to gaseous air contaminants: Principles, specifications, construction, and operation. U.S. Dept. Agr., Agr. Res. Serv., U.S. Govt. Printing Office: 1978-771-106/10

  • Hoshika, Y., De Carlo, A., Baraldi, R., Neri, L., Carrari, E., Agathokleous, E., Zhang, L., Fares, S. & Paoletti, E. 2019 Ozone-induced impairment of night-time stomatal closure in O3-sensitive poplar clone is affected by nitrogen but not by phosphorus enrichment Sci. Total Environ. 692 713 722

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hoshika, Y., Omasa, K. & Paoletti, E. 2013 Both ozone exposure and soil water stress are able to induce stomatal sluggishness Environ. Expt. Bot. 88 19 23

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hucl, P., Beversdorf, W.D. & McKersie, B.D. 1982 Relationship of leaf parameters with genetic ozone insensitivity in selected Phaseolus vulgaris cultivars Can. J. Bot. 60 2187 2191

    • Search Google Scholar
    • Export Citation
  • Karthik, B.L., Sujith, B., Suliankatchi, R.A. & Sehgal, M. 2017 Characteristics of the ozone pollution and its health effects in India Intl. J. Med. Public Health 7 56 60

    • Search Google Scholar
    • Export Citation
  • Kirkham, M.B. 2014 Principles of soil and plant water relations. 2nd ed. Elsevier Academic Press, Amsterdam, The Netherlands

    • Crossref
    • Export Citation
  • Lee, E.H. & Bennett, J.H. 1982 Superoxide dismutase: A possible protective enzyme against ozone injury in snap beans (Phaseolus vulgaris L.) Plant Physiol. 69 1444 1449

    • Search Google Scholar
    • Export Citation
  • Lee, E.H. & Hogsett, W.E. 1999 Role of concentration and time of day in developing ozone exposure indices for a secondary standard J. Air Waste Mgt. Assoc. 49 669 681

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lefohn, A.S. (n.d.). Bridging the gap between ozone exposure and ozone dose: The importance of high hourly average concentrations for affecting vegetation. 13 May 2019. <http://http://www.asl-associates.com/peaks.htm>

    • Crossref
    • Export Citation
  • Li, K., Jacob, D.J., Liao, H., Shen, L., Zhang, Q. & Bates, K.H. 2018 Anthropogenic drivers of 2013–2017 trends in summer surface ozone in China Proc. Natl. Acad. Sci. USA 116 422 427

    • Search Google Scholar
    • Export Citation
  • Li, S., Harley, P.C. & Niinemets, Ü. 2017 Ozone-induced foliar damage and release of stress volatiles is highly dependent on stomatal openness and priming by low-level ozone exposure in Phaseolus vulgaris Plant Cell Environ. 40 1984 2003

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lloyd, K.L. 2019 Snap bean physiology and yield as affected by day and night ozone treatment. The Pennsylvania State Univ., University Park, PhD Diss

    • Crossref
    • Export Citation
  • Lloyd, K.L., Davis, D.D., Marini, R.M. & Decoteau, D.R. 2018 Effects of nighttime ozone treatment at ambient concentrations on sensitive and resistant snap bean genotypes J. Amer. Soc. Hort. Sci. 143 23 33

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matyssek, R., Günthardt-Goerg, M.S., Maurer, S. & Keller, T. 1995 Nighttime exposure to ozone reduces whole-plant production in Betula pendula Tree Physiol. 15 159 165

    • Search Google Scholar
    • Export Citation
  • McGrath, J.M., Betzelberger, A.M., Wang, S., Shook, E., Zhu, X., Long, S.P. & Ainsworth, E.A. 2015 Ozone effects on maize and soybean yields Proc. Natl. Acad. Sci. USA 112 14390 14395

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mills, G., Pleijel, H., Malley, C.S., Sinha, B., Cooper, O.R., Schultz, M.G., Neufeld, H.S., Simpson, D., Sharps, K., Feng, Z., Gerosa, G., Harmens, H., Kobayashi, K., Saxena, P., Paoletti, E., Sinha, V. & Xu, X. 2018 Tropospheric ozone assessment report: Present-day tropospheric ozone distribution and trends relevant to vegetation Elementa Sci. Anthropocene 6 47 92

    • Crossref
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Kirsten L. Lloyd Department of Plant Science, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802

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Donald D. Davis Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, 211 Buckhout Laboratory, University Park, PA 16802

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Richard P. Marini Department of Plant Science, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802

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Dennis R. Decoteau Department of Plant Science, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802

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Contributor Notes

Funding provided by the U.S. Department of Agriculture National Institute of Food and Federal Appropriations under Project PEN04564, Accession number 1002837; Pennsylvania Department of Environmental Protection, Bureau of Air Quality; Harrisburg, PA; the Pennsylvania Agricultural Experiment Station; and the Department of Plant Science, The Pennsylvania State University.

We thank Scott DiLoreto, Jim Savage, and Jon Ferdinand for technical expertise; Dr. Kent Burkey for providing seed and expertise; Dr. Rick Bates and Dr. Amy Huff for reviewing the manuscript; and Emily Isaacs, Alexis Dolby, and Michael Potts for greenhouse assistance.

K.L.L. is the corresponding author. E-mail: kll24@psu.edu.

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  • Fig. 1.

    Relationship between the pod mass and nighttime O3 concentration for sensitive (S156) and resistant (R123) snap bean genotypes in Summer 2016 and Spring 2017. Values for the controls (ambient O3, n = 1 CSTR, mean of 4 plants per genotype) are not shown and were 38.22 and 37.76 g for S156 and R123, respectively, in Summer 2016, and 68.56 and 75.39 g, respectively, in Spring 2017. The interaction of genotype (Gn) × O3 tests the null hypothesis that the slopes of the best-fit lines for S156 and R123 are equal.

  • Fig. 2.

    Pod mass as influenced by nighttime O3 treatment for sensitive (S156) and resistant (R123) snap bean genotypes in three replicated trials. Fall 2017a included daytime treatment at a 56 ppb O3. Durations of nighttime O3 treatment were 20 and 27 d in Fall 2017 and Spring 2018, respectively. The main effects, O3 and genotype, and the interaction were significant in all trials. Within a trial, least-squares means accompanied by the same lowercase letter are not significantly different (P ≤ 0.05) according to Tukey’s honestly significant difference. Error bars represent 1 sd from the mean.

  • Fig. 3.

    The stomatal conductance (gS) at four different times of the day (dawn = 0515–0630 hr; midday = 1130–1245 hr; evening = 1945–2100 hr; night = 2200–2300 hr) in snap bean control plants as influenced by genotype (resistant R123 vs. sensitive S156) and leaf age (mature and “fully expanded” vs. young and rapidly growing) during the pod filling stage in Spring 2018. Genotype was significant at dawn (P = 0.003) and evening (P = 0.031), and age was significant at all four times of the day (P ≤ 0.004). The interaction was not significant. Within a measurement time, least-squares means accompanied by the same lowercase letter are not significantly different (P ≤ 0.05) according to Tukey’s honestly significant difference. Error bars represent 1 sd from the mean.

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