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Article

Weed Response to ALS-Inhibitor Herbicide (Sulfosulfuron + Metsulfuron Methyl) under Increased Temperature and Carbon Dioxide

by
Yousef Ghazikhanlou Sani
1,
Ali Reza Yousefi
1,*,
Khalil Jamshidi
1,
Farid Shekari
1,
Jose L. Gonzalez-Andujar
2 and
Nicholas E. Korres
3
1
Department of Plant Production and Genetics, University of Zanjan, Zanjan 45371-38791, Iran
2
Department of Crop Protection, Institute for Sustainable Agriculture (CSIC), 14004 Cordoba, Spain
3
Department of Agriculture, University of Ioannina, Kostakii Arta, 47100 Arta, Greece
*
Author to whom correspondence should be addressed.
Agronomy 2023, 13(8), 2084; https://doi.org/10.3390/agronomy13082084
Submission received: 10 June 2023 / Revised: 23 July 2023 / Accepted: 29 July 2023 / Published: 8 August 2023
(This article belongs to the Special Issue Herbicides and Chemical Control of Weeds)

Abstract

:
Information on the impact of climate change on the growth of weed species and their sensitivity to herbicides could help to establish an efficient weed management strategy. Due to the excessive use of acetolactate synthase (ALS)-inhibitor herbicides, resistance to those herbicides is increasing globally. It is, thus, crucial to find out whether the efficacy of these herbicides will change in the future due to the increase in temperatures and carbon dioxide concentration. Therefore, this work aimed to evaluate the impact of temperature and carbon dioxide (CO2) changes on the growth of Amaranthus retroflexus, Bromus tectorum, Chenopodium album, and Echinochloa crus-galli, including the assessment of sulfosulfuron 75% + metsulfuron methyl 5% efficacy in these weeds. A factorial experiment was performed in a completely randomized design with a factorial arrangement (2 × 2 × 6), including two CO2 concentrations (400 and 700 ppm), two temperature regimes (30/20 °C and 34/24 °C day/night), and six herbicide rates (0, 25, 37.5, 50, 62.5, and 75 g ha−1). As a result, it was seen that temperature and CO2 concentration changes influenced the morphological variables of the weeds. The temperature regime affected the herbicide’s effectiveness on B. tectorum and E. crus-galli. The herbicide’s efficacy on weed species was affected by the interaction of herbicide rates and the temperature regime, except for on E. crus-galli; the highest efficacy was observed at 30/20 °C and at a rate 50% higher (75 g ha−1) than the recommended one (50 g ha−1). Except for E. crus-galli, increasing CO2 concentrations enhanced the herbicide efficacy and ALS enzyme activity inhibition in all the weed species, but had the greatest effect on C3 weeds. We found that temperature and CO2 levels can alter the efficacy of weed control with herbicides, with clear differences between C3 and C4 plants. As a result, increased temperature and CO2 concentration will possibly allow better control of weed species such as B. tectorum, C. album and A. retroflexus at lower doses of the ALS herbicide under investigation.

1. Introduction

Global climate change is one of the main concerns for the future sustainability of our development, because of its impact on numerous socioeconomic sectors of human activity [1]. Changes in temperature, atmospheric carbon dioxide (CO2), and frequent and extreme weather events could have significant impacts on weed populations and their management [2,3,4]. From 1980 to 2020, atmospheric CO2 concentration increased from 340 ppm to 411 ppm, and it was estimated that CO2 would reach 600–1000 ppm at the end of the 21st century [5]. High concentrations of CO2 improve plant growth, directly affecting photosynthesis activity, this being decisively influenced by the photosynthetic pathway of plants (C3 or C4). In general, C3 weeds will respond more favorably to increased atmospheric CO2 than C4 ones [3]. Different responses of C3 and C4 plants to the increase in CO2 concentration and temperature could lead to important consequences for weed–crop interaction [3].
Environmental conditions affect plant and herbicide interaction. Despite their importance, there is not much information on the effects of herbicides on weeds in the context of climate change, like reduced efficacy and, eventually, herbicide resistance. High concentrations of CO2 reduce stomatal conductance, which can alter the efficacy of foliar herbicides [6]. Some studies have indicated that the efficacy of glyphosate in controlling Paspalum dilatatum, Conyza canadensis, and Chenopodium album could be reduced at high CO2 concentrations [7,8,9]. When herbicides are sprayed on weed leaves at high temperatures, leaf cuticles become more fluid and more readily penetrated by fat-soluble compounds, thus demonstrating low selectivity [10].
According to reports, herbicides of the sulfonylureas group were first introduced to the market in 1982 and, in most cases, they exert a good control of weeds [11]. This herbicide class inhibits the activity of the acetolactate synthase (ALS) enzyme, which is responsible for the biosynthesis of leucine, isoleucine, and valine amino acids in plants. Inhibition of ALS activity leads to the starvation of the plant for these amino acids, and it is this which is thought to be the primary mechanism responsible for the plant death caused by ALS-inhibiting herbicides. However, other secondary effects of ALS inhibition, such as the buildup of 2-ketobutyrate and the disruption of protein synthesis and of photosynthate transport, have also been implicated in plant death [12]. The mixture of sulfosulfuron 75% + metsulfuron methyl 5% as a post-emergence herbicide is one of the sulfonylurea class herbicides used for controlling narrow and broadleaf weeds of wheat. However, there is a lack of studies on the effect of climate change on sulfonylureas, and, in order to optimize herbicide rates for acceptable weed control in the future, there is a need to gain more understanding of the interactions between climate change and herbicide efficacy. Therefore, this research was aimed at evaluating the effects of CO2 and rising temperature on the performance of sulfosulfuron 75% + metsulfuron methyl 5% in controlling Chenopodium album, Amaranthus retroflexus, Bromus tectorum, and Echinochloa crus-galli.

2. Materials and Methods

2.1. Plant Material, Growth Conditions, and Treatments

A factorial experiment was performed in a completely randomized design with three factors (two CO2 concentrations, two different temperatures and six herbicide rates) in four replications. Two C4 (A. retroflexus and E. crus-galli) and two C3 (C. album and B. tectorum) plant species were used in this experiment. Seeds of barnyard grass (E. crus-galli) and cheat grass (B. tectorum) as grass, and red-root pigweed (A. retroflexus) and common lambsquarters (C. album) as broadleaf were collected from the Research Farm of the University of Zanjan (35° 35′ N, 47° 15′ E).
Seeds of C. album and A. retroflexus were exposed to light and temperature fluctuation treatments to break the dormancy, and scarification was used to break the dormancy of E. crus-galli seeds. Seeds of B. tectorum did not showed dormancy. Ten seeds of each weed were sown in plastic pots (25 cm × 35 cm), filled with the 75% perlite + 25% coco-peat mixture. Pots were placed in a standard growth chamber (STC 1300, Noor Sanat Azma Ferdous, Iran) under two concentrations of CO2 (400 and 700 ppm) and two temperatures (day/night temperature 30/20 °C and 34/24 °C). The light required for the growth of the plants was provided by LED bulbs installed inside the growth chamber. Also, the CO2 concentration was measured by CO2-sensitive sensors, and, if needed, it was automatically injected from the CO2 gas capsule connected to the device. Pots were irrigated twice a week with Hoagland solution (until the end of the growth stage). After seed germination, they were thinned, and only four plants were kept in each pot. Finally, six rates of Total ® herbicide (sulfosulfuron 75% + metsulfuron methyl 5%), including (1) the herbicide rate recommended by the manufacturer (50 g ha−1), (2) 25% below it (37.5 g ha−1), (3) 25% above it (62.5 g ha−1), (4) 50% below the recommended rate (25 g ha−1), (5) 50% above it (75 g ha−1), and (6) distilled water as a control (no herbicide), were sprayed on plants at the six-leaf stage. Herbicide was applied with a backpack sprayer equipped with flood-jet nozzle, calibrated to deliver 200 L ha−1 at 250 kPa. The distance between the nozzle and the target was 50 cm. Ten days after spraying, plant parameters were measured.
Weeds were monitored daily after herbicide application. They started withering 3–5 days after herbicide application and showed chlorosis symptoms nearly 10–15 days after spraying.

2.2. Herbicide Efficiency

Ten days after spraying, herbicide damage on weeds was assessed by the European Weed Research Council (EWRC) scoring system [13] (Table 1). Scoring was carried out by two people separately.

2.3. Morphological Variable Measurement

At the end of the experiment, roots were removed from the soil and washed with water, and their lengths and root volume were measured later by immersing the roots in a graduated cylinder (500 ± 1 cc). Plant biomass was dried in an oven at 70 °C for 48 h, and dry weights were determined. Analyses were conducted on total dry weights of root and shoot, separately. Plant height was measured by a ruler.

2.4. Enzyme Assay

The activity of the acetolactate synthase (ALS) enzyme was determined by the Milfin et al. [14] method with three replications. In brief, 100 mg of upper leaves samples from all treatments were used for the extraction and precipitation of protein. Next, about 0.5 mg of the precipitated protein was incubated for 1 h at 30 °C in a buffer containing 40 mM Na-pyruvate, 0.32 mM thiamin pyrophosphate, 0.5 mM MnSO4, and 20 mM Na-phosphate, pH 7.5. After that, the reaction was terminated by the addition of ZnSO4, (5 mM). After centrifugation, the supernatant was acidified with HC1 (37%). Then, 1.7% (w/v) a-naphthol and 0.17% (w/v) creatin were added and incubated at room temperature for 1 h. Finally, the absorbance was recorded at 530 nm with a spectrophotometer (PerkinElmer-lambda 25, Waltham, MA, USA).

2.5. Statistical Analysis

The data were analyzed by ANOVA, and the means were contrasted by the Tukey HSD test (p ≤ 0.05) using SAS ver. 9 (SAS Institute Inc., Cary, NC, USA).

3. Results

Temperature regimes affected the plant height, root/shoot ratio, root volume, and enzyme activity of A. retroflexus (Table 2). The highest root volume and inhibition of ALS enzyme activity were observed at 34/24 °C (Table 3). In contrast, the maximum plant height and root/shoot ratio were obtained at 30/20 °C (day/night) (Table 3). Increasing the CO2 concentration also affected plant height, total biomass, enzyme activity, and herbicide efficacy (Table 2). Herbicide rates also influenced plant height, shoot dry weight, total biomass, root volume, enzyme activity, and herbicide efficacy in these species (Table 2).
Temperature and CO2 greatly affected the B. tectorum variables. The temperature regimes affected the root dry weight, root volume, root/shoot ratio, enzyme activity, and herbicide efficacy, and the CO2 concentration also affected the root dry weight, total biomass, root volume, and herbicide efficacy. On the other hand, herbicide rates had a notable impact on all variables, except for the root/shoot ratio (Table 2).
For B. tectorum, a C3 plant, the lowest root volume was observed at 30–20 °C (day/night) and 400 ppm CO2 concentration (Figure 1A). In contrast, the maximum root/shoot ratio was reached at 30–20 °C (day/night) and 400 ppm CO2 concentration (Figure 1B). The highest total biomass was obtained with the CO2 concentration of 700 ppm, which led to an increase of about 15% of the biomass without any herbicide (Figure 1C).
In C. album, temperature regimes only influenced plant height and root dry weight. Increasing the temperature from 30/20 °C to 34/24 °C increased the root dry weight of C. album by 16.4%. The lowest ALS enzyme activity of C. album was observed at 34/24 °C. The CO2 concentration impacted the height, root dry weight, total biomass, and herbicide efficacy. Herbicide rates also influenced all measured variables of C. album, except shoot dry weight, root/shoot ratio, and root volume (Table 2).
Regarding E. crus-galli, the temperature influenced the plant height, root dry weight, root/shoot ratio, root volume, and herbicide efficacy. Except for ALS activity, CO2 concentration affected all measured variables for this weed. Different rates of herbicide also had a significant impact on all the traits (Table 2). Overall, the highest root dry weight and volume were observed at the 700 ppm CO2 concentration, and 34/24 °C temperature regime without herbicide application (Figure 2). Furthermore, herbicide efficacy was affected by the interaction of temperature by herbicide rate, with the maximum herbicide efficacy reached at 75 g ha−1 and the lowest temperature regime (30/20 °C) (Figure 3).
Herbicide efficacy in all weed species was affected by the carbon dioxide concentration and the herbicide rates (p < 0.01). The highest weed control was observed at 700 ppm of CO2 and the rate of 75 g ha−1 of sulfosulfuron 75% + metsulfuron methyl 5%. In general, with the increase of CO2 concentration, the effectiveness also increased at higher herbicide rates. For example, herbicide efficacy increased by approximately 22% on A. retroflexus, 15% on B. tectorum, 12% on C. album, and 16% on E. crus-galli compared to the manufacturer’s recommended dose (50 g ha−1).
Except for E. crus-galli, CO2 concentration and herbicide rates affected ALS activity (Table 2). In A. retroflexus and C. album, the highest inhibition of ALS enzyme activity was obtained at 700 ppm of CO2 and 50% above the recommended rate (75 g ha−1) of SMM (Figure 4), while, in B. tectorum, the lowest enzyme activity was observed at 700 ppm CO2 and 62.5 g ha−1 of SMM (Figure 4).

4. Discussion

An increase in CO2 and temperature can cause a change in enzyme activity with a rise in photosynthesis [15], affecting the growth and competitiveness of weeds. The increase in the CO2 concentration stimulates carboxylation and, thus, reduces photorespiration; commonly, C3 plants augment their net photosynthesis rates with a higher CO2 level. Meanwhile, plants with the C4 photosynthesis pathway have alternate CO2 fixation mechanisms, so that the CO2 is initially fixed in the mesophyll cells by phosphoenol pyruvate carboxylase (PEPcase), which has a higher affinity for CO2 than ribulose 1,5-bisphosphate carboxylase/oxygenase (Rubisco). CO2 is regenerated through the 4-carbon organic acid formed in this reaction for fixation by Rubisco in the bundle sheath cells. Due to this internal mechanism, the CO2 concentration at the Rubisco enzyme activity site augments. As a result, its carboxylation is greater than oxygenation, and its photorespiration is inhibited. Therefore, increasing the CO2 concentration exerts a lesser effect on the net photosynthetic rate of C4 plants, unlike in C3 plants. As a result of the increase in CO2, many C3 weeds have shown significant increases in growth and have caused a greater decline in crop yields. For example, an increase of approximately 65% in the biomass of C. album, as a C3 weed, at elevated CO2 concentrations has been reported by Ziska [3]. This increase in weed growth caused a 39% soybean yield lose. Similarly, increasing the CO2 concentration caused increases in the competitive ability, biomass, and seed yield of wild rice compared with those of cultivated rice, which could lead to a further drop in the yield of cultivated rice in the presence of C3 weeds [16].
It is expected that high concentrations of CO2 will increase global temperature and extreme temperature events due to greenhouse effects in the future [6,17]. Plants will probably be under high-temperature stress, which could affect their growth rates at different stages. In this work, the degree of photosynthesis stimulation and growth response varied between C3 and C4 plants as the temperature increased. In C3 plants, temperatures above 25 °C increase photorespiration and inhibit CO2 assimilation [18,19]. Therefore, C3 weeds could benefit the most from higher concentrations of CO2, under temperate climates.
On the contrary, the increase in temperature in C4 plants has little effect on CO2 assimilation because CO2 pumping in mesophyll cells decreases the photorespiration rate at all temperatures [20,21], As a result, C4 plants are better adapted to heat stress and may show rapid canopy growth and root proliferation at high temperatures, compared to C3 [22]. Weeds may show a wider range of responses to increasing temperatures because of their more extensive gene pool compared with crops, which enables them to adapt to diverse environmental conditions [23]. Due to their rapid growth and establishment, they can easily spread to new territories, and may induce changes in the biodiversity of ecosystems. Since 1998, ALS inhibitors have surpassed all other herbicide classes in terms of the number of weed species for which a resistant population was reported [24]. This resistance may be due to mutations in the ALS enzyme, decreased affinity, synthesis of specific amino acids, and herbicide transfer [25,26]. However, this study showed that increasing the temperature and, especially, increasing the concentration of CO2 can increase the efficacy of these herbicides and augment the inhibition of ALS activity. The decline in ALS activity for C3 and C4 species was consistent with previous works [27,28,29], and it supported the conclusions reached by Ainsworth et al. [22], that weeds can show a reduction in ALS regardless of their photosynthetic pathway. Raising the temperature and elevating the CO2 concentration can increase photosynthesis, alter enzymatic activity, and affect the synthesis of amino acids and pigment production [15,30,31]. A number of herbicide action sites have, in turn, been specifically designed to disrupt these biochemical processes. Such herbicides include tribenuron-methyl and sulfosulfuron + metsulfuron methyl (inhibitor of the ALS enzyme), atrazine (Photosystem II inhibitor), and amitrole (pigment inhibitor). Thus, CO2- or temperature-induced increases in growth could, potentially, increase the efficacy of these herbicides.
The leaf orientation and surface are the first effective factors in absorption and displacement after herbicide application. If the increase in the CO2 concentration or temperature causes an increase in the leaf surface or in the number of leaves, such a change could increase the absorption and interception of the herbicide. In addition, increasing the temperature could improve the uptake and translocation of the herbicide by affecting the fluidity of the cuticle and the plasma membrane [31]. Increasing CO2 or temperature can also reduce herbicide absorption through changes in leaf surface characteristics, such as reducing stomatal dimensions, increasing leaf thickness, or changing the cuticular wax’s viscosity [32]. An increase in temperature can cause more herbicide absorption and transfer, but, on the other hand, sufficiently high temperatures can reduce the effectiveness of the herbicide by increasing its metabolism [33,34].

5. Conclusions

Climate change, with its severe impacts on crop growth and yield, can endanger food safety. Weed management, as a main practice in crop production, is subject to climate change effects and should also be considered. In this work, a higher CO2 concentration had a greater effect on C3 weeds. ALS activity inhibition increased with growing concentrations of CO2, except for in E. crus-galli. The efficacy of the sulfosulfuron 75% + metsulfuron methyl 5% on the E. crus-galli decreased when increasing the temperature. As a result, there is a need to adopt methods to enhance the effectiveness of this herbicide, or to find supplementary control methods in order to exert an acceptable control in the future to prevent crop yield loss in the arable fields infested with this species.
In future climates, existing weed control techniques that rely heavily on herbicide use may have very different effects on weed growth. In spite of comprehensive studies on the possible effects of changing climate variables on various herbicide chemicals, this warrants urgent action. In particular, to research the interactive effects of climate change on weed regulation, it would be important to establish experiments with multiple climate variables. Rather than basing hypotheses on single-factor studies, systematic research efforts from the ecosystem to molecular levels will be required to investigate the interactive effects of different climate variables on plant growth and herbicide efficiency.

Author Contributions

Conceptualization, A.R.Y. and K.J.; data curation, Y.G.S.; investigation, Y.G.S.; methodology, Y.G.S. and J.L.G.-A.; project administration, A.R.Y.; supervision, F.S.; writing—review and editing, A.R.Y., J.L.G.-A. and N.E.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially funded by the University of Zanjan.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Effects of different CO2 concentrations, temperatures, and herbicide (sulfosulfuron 75% + metsulfuron methyl 5%) rates on (A) root volume, (B) root/shoot ratio, and (C) biomass of Bromus tectorum. The vertical bars represent the standard error. The column letters indicate the differences between the treatments (p < 0.05) according to Tukey’s HSD test. Different capital letters indicate a significant difference among different CO2 levels (A,B) or herbicide rate (C), and different lowercase letters indicate a significant difference between the two temperature (A,B) and CO2 levels (C) (p < 0.05).
Figure 1. Effects of different CO2 concentrations, temperatures, and herbicide (sulfosulfuron 75% + metsulfuron methyl 5%) rates on (A) root volume, (B) root/shoot ratio, and (C) biomass of Bromus tectorum. The vertical bars represent the standard error. The column letters indicate the differences between the treatments (p < 0.05) according to Tukey’s HSD test. Different capital letters indicate a significant difference among different CO2 levels (A,B) or herbicide rate (C), and different lowercase letters indicate a significant difference between the two temperature (A,B) and CO2 levels (C) (p < 0.05).
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Figure 2. Effects of different CO2 concentrations, temperatures, and herbicide (sulfosulfuron 75% + metsulfuron methyl 5%) rates on (A) root dry weight, (B) root volume, and (C) root volume of E. crus-galli. The vertical bars represent the standard error. The column letters indicate differences among treatments (p < 0.05) according to the Tukey HSD test. Different capital letters indicate a significant difference among different herbicide rate inside the CO2 levels (A,B) or temperature (C), and different lowercase letters indicate a significant difference between the two CO2 levels (A,B) and temperature (C) (p < 0.05).
Figure 2. Effects of different CO2 concentrations, temperatures, and herbicide (sulfosulfuron 75% + metsulfuron methyl 5%) rates on (A) root dry weight, (B) root volume, and (C) root volume of E. crus-galli. The vertical bars represent the standard error. The column letters indicate differences among treatments (p < 0.05) according to the Tukey HSD test. Different capital letters indicate a significant difference among different herbicide rate inside the CO2 levels (A,B) or temperature (C), and different lowercase letters indicate a significant difference between the two CO2 levels (A,B) and temperature (C) (p < 0.05).
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Figure 3. Effects of different CO2 concentrations and temperatures on the efficacy of (sulfosulfuron 75% + metsulfuron methyl 5%) rates on A. retroflexus, B. tectorum, C. album, and E. crus-galli. The vertical bars represent the standard error. The column letters indicate differences among treatments (p < 0.05) according to the Tukey HSD test. Uppercase letters indicate main effects and lowercase letters indicate interaction effects between treatments.
Figure 3. Effects of different CO2 concentrations and temperatures on the efficacy of (sulfosulfuron 75% + metsulfuron methyl 5%) rates on A. retroflexus, B. tectorum, C. album, and E. crus-galli. The vertical bars represent the standard error. The column letters indicate differences among treatments (p < 0.05) according to the Tukey HSD test. Uppercase letters indicate main effects and lowercase letters indicate interaction effects between treatments.
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Figure 4. Effects of different CO2 concentrations and herbicide (sulfosulfuron 75% + metsulfuron methyl 5%) rates on the activity of ALS enzyme in A. retroflexus, B. tectorum, and C. album. The vertical bars represent the standard error. The column letters indicate differences among the treatments (p < 0.05) according to the Tukey HSD test. Uppercase letters indicate simple effects and lowercase letters indicate interaction effects between treatments.
Figure 4. Effects of different CO2 concentrations and herbicide (sulfosulfuron 75% + metsulfuron methyl 5%) rates on the activity of ALS enzyme in A. retroflexus, B. tectorum, and C. album. The vertical bars represent the standard error. The column letters indicate differences among the treatments (p < 0.05) according to the Tukey HSD test. Uppercase letters indicate simple effects and lowercase letters indicate interaction effects between treatments.
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Table 1. Modified European Weed Research Council Ratings Scale used to score herbicide effectiveness.
Table 1. Modified European Weed Research Council Ratings Scale used to score herbicide effectiveness.
Category NumberHerbicide Effectiveness on WeedsWeed Control (%)
1None0–29.9
2Very bad30–54.9
3Bad55–69.9
4Weak70–81.9
5Moderate82–89.9
6Good to acceptable90–94.9
7Very good95–97.9
8Excellent98–99.9
9Total plant death100
Table 2. Analysis of variance of the effects of temperature changes, CO2 concentration, and different rates of sulfosulfuron 75% + metsulfuron methyl 5%on morphological characteristics, enzyme activity, and herbicide efficacy in C3 and C4 weeds.
Table 2. Analysis of variance of the effects of temperature changes, CO2 concentration, and different rates of sulfosulfuron 75% + metsulfuron methyl 5%on morphological characteristics, enzyme activity, and herbicide efficacy in C3 and C4 weeds.
Mean Square
SpeciesdfHeight (cm)SdW
(g pot−1)
RdW
(g pot−1)
Biomass (g pot−1)R/SRV (cm3)ASL
Activity
HE (%)
A. retroflexusTemperature (T)1394.07 **0.49 ns83.40 ns0.02 ns13.70 **1.66 **5536 **1.5 ns
CO21195.51 **0.48ns65.24 ns1.45 **0.24 ns0.002 ns5236 **13.5 **
Herbicide rates (H)5355.04 **8.62 **75.24 ns15.98 **0.95 ns2.67 **40,269 **142.1 **
T × CO2121.57 ns0.0001 ns72.48 ns0.003 ns0.03 ns0.13 ns4 ns0.37 ns
T × H52.7 ns0.038 ns74.00 ns0.022 ns0.20 ns0.01 ns214 ns0.12 ns
CO2 × H50.82 ns0.047 ns74.3 ns0.07 ns0.35 ns0.002 ns3220 **1.92 **
T × CO2 × H51.63 ns0.041 ns73.59 ns0.043 ns0.12 ns0.001 ns101 ns0.3 ns
Error729.330.17574.280.180.580.0834070.51
B. tectorumTemperature (T)120.18 ns0.069 ns0.43 **0.15 ns2.25 **0.53 **1953 **2.04 *
CO210.35 ns0.53 **0.43 **1.92 **0.11 ns0.44 **244 ns3.37 **
Herbicide rates (H)5557.38 **5.25 **3.82 **17.99 **0.48 ns4.37 **33,342 **202 **
T × CO216.42 ns0.13 ns0.083 ns0.005 ns1.17 *0.21 *667 ns0.04 ns
T × H59.77 ns0.0068 ns0.019 ns0.04 ns0.05 ns0.04 ns163 ns0.64 ns
CO2 × H513 ns0.079 ns0.042 ns0.21 **0.04 ns0.08 ns998 **2.57 **
T × CO2 × H54.54 ns0.046 ns0.003 ns0.03 ns0.12 ns0.01 ns292 ns0.24 ns
Error726.520.0670.0480.070.260.052660.38
C. albumTemperature (T)114.4 *0.49 ns0.15 *0.001 ns156 ns6600 ns1365 ns0.042 ns
CO2161.3 **0.48 ns0.42 **0.63 **146.37 ns6384 ns155 ns9.375 **
Herbicide rates (H)5320.1 **8.62 **3.47 **22.86 **122.58 ns6810 ns38,040 **194.4 **
T × CO211.2 ns0.0001 ns0.0008 ns0.04 ns116.99 ns6828 ns45 ns1.5 ns
T × H53.52 ns0.038 ns0.0138 ns0.002 ns121.42 ns6725 ns207 ns0.34 ns
CO2 × H54.92 ns0.047 ns0.0334 ns0.07 ns119.07 ns6688 ns3386 **2.07 **
T × CO2 × H51.19 ns0.041 ns0.0011 ns0.005 ns119.47 ns6709 ns591 ns0.25 ns
Error722.380.140.02740.03119.0167363490.51
E. crus-galliTemperature (T)138.76 **0.012 ns0.026 *0.002 ns1.13 **0.57 **661 ns3.37 **
CO2134.41 **0.136 **0.161 **0.59 **0.29 **1.16 **2185 ns15.04 **
Herbicide rates (H)5281.71 **0.686 **0.494 **2.34 **0.11 **12.02 **54,925 **124.2 **
T × CO210.019 ns0.0054 ns0.0030 ns0.06 ns0.02 ns0.032 ns1218 ns0 ns
T × H51.105 ns0.0017 ns0.0028 ns0.004 ns0.023 ns0.137 *1181 ns0.87 *
CO2 × H51.961 ns0.0058 ns0.011 **0.030 ns0.015 ns0.308 **1010 ns1.99 **
T × CO2 × H50.414 ns0.0014 ns0.0031 ns0.008 ns0.017 ns0.091 ns702 ns0.8 ns
Error721.4110.00580.00410.0150.0300.0426350.35
df (degree of freedom), HE (herbicide efficacy), ALS (acetolactate synthase), RV (root volume), R/S (root/shoot ratio), RdW (root dry weight), SdW (shoot dry weight). ** significant at p = 0.01; * significant at p = 0.05; ns not significant.
Table 3. The main effects of temperature regimes, CO2 concentrations, and herbicide rates on weed control efficacy.
Table 3. The main effects of temperature regimes, CO2 concentrations, and herbicide rates on weed control efficacy.
SpeciesHeight (cm)SdW
(g pot−1)
RdW
(g pot−1)
Biomass
(g pot−1)
R/SRV (cm3)ASL
Activity
HE (%)
Temperature °C
A. retroflexus30/2022.07 ± 2.14 ansnsns2.70 ± 0.28 a1.04 ± 0.01 b252.20 ± 33.5 bns
34/2418.02 ± 1.45 bnsnsns1.94 ± 0.36 b1.30 ± 0.02 a267.39 ± 14.54 ans
B. tectorum30/20nsns0.97 ± 0.07 bnsnsns186.58 ± 17.7 b1.16 ± 0.24 b
34/24nsns1.10 ± 0.01 ansnsns195.60 ± 31 a1.31 ± 0.11 a
C. album30/2015.27 ± 2.19 ans0.50 ± 0.08 bnsnsnsnsns
34/2414.49 ± 2.01 bns0.58 ± 0.05 ansnsnsnsns
E. crus-galli30/2017.06 ± 0.84 ans0.30 ± 0.02 bns1.48 ± 0.29 ansnsns
34/2415.79 ± 1.28 bns0.34 ± 0.02 ans1.26 ± 0.2 bnsnsns
CO2 (ppm)
A. retroflexus40018.62 ± 2.02 bnsns1.89 ± 0.12 bnsnsnsns
70021.47 ± 1.6 ansns2.14 ± 0.08 ansnsnsns
B. tectorum400ns1.46 ± 0.18 b0.97 ± 0.02 bnsnsnsnsns
700ns1.61 ± 0.32 a1.10 ± 0.07 ansnsnsnsns
C. album40014.08 ± 1.33 bns0.47 ± 0.05 b1.09 ± 0.13 bnsnsnsns
70015.68 ± 0.61 ans0.60 ± 0.03 a1.25 ± 0.33 ansnsnsns
E. crus-galli40015.82 ± 1.11 b0.39 ± 0.04 bns0.67 ± 0.03 b1.43 ± 0.17 ansnsns
70017.02 ± 2.82 a0.46 ± 0.04 ans0.83 ± 0.05 a1.32 ± 0.12 bnsnsns
Herbicide rates
(g ha−1)
A. retroflexus2519.75 ± 2.57 c1.40 ± 0.11 bns1.96 ± 0.17 bns1.10 ± 0.08 cnsns
37.520.96 ± 0.79 bc1.41 ± 0.08 bns2.04 ± 0.11 bns1.31 ± 0.03 bnsns
5015.73 ± 1.43 d0.72 ± 0.02 cns1.11 ± 0.20 cns0.79 ± 0.07 dnsns
62.522.98 ± 1.55 b1.60 ± 0.06 bns2.35 ± 0.23 bns1.43 ± 0.1 bnsns
7514.01 ± 1.09 d0.61 ± 0.01 cns0.93 ± 0.04 cns0.64 ± 0.02 dnsns
026.85 ± 2.2 a2.66 ± 0.12 ans3.71 ± 0.16 ans1.73 ± 0.03 ansns
B. tectorum2519.89 ± 3.2 c1.36 ± 0.08 c0.87 ± 0.02 cdnsns1.11 ± 0.08 cnsns
37.521.44 ± 0.29 bc1.48 ± 0.27 bc0.92 ± 0.04 cnsns1.16 ± 0.04 bcnsns
5017.18 ± 1.21 d1.10 ± 0.26 d0.75 ± 0.06 densns0.89 ± 0.03 dnsns
62.522.63 ± 2.87 b1.6 ± 0.07 b1.08 ± 0.02 bnsns1.31 ± 0.03 bnsns
7515.41 ± 1 d1.06 ± 0.08 d0.60 ± 0.03 ensns0.72 ± 0.07nsns
032.20 ± 0.9 a2.63 ± 0.04 a1.97 ± 0.04 ansns2.21 ± 0.22 ansns
C. album2514.51 ± 1.66 cns0.32 ± 0.01 cd0.59 ± 0.01 cnsnsnsns
37.515.12 ± 0.79 bcns0.43 ± 0.02 bc0.90 ± 0.03 bnsnsnsns
5011.64 ± 1.22 dns0.28 ± 0.03 d0.51 ± 0.03 cnsnsnsns
62.516.15 ± 0.85 bns0.52 ± 0.06 b1.07 ± 0.01 bnsnsnsns
759.390 ± 0.79 ens0.21 ± 0.02 d0.41 ± 0.03 cnsnsnsns
022.46 ± 1.88 ans1.46 ± 0.09 a3.56 ± 0.35 ansnsnsns
E. crus-galli2515.06 ± 1.05 d0.34 ± 0.02 dns0.59 ± 0.04 d1.45 ± 0.18ans195.8 ± 13.79 cns
37.516.37 ± 1.33 c0.42 ± 0.01 cns0.72 ± 0.03 c1.38 ± 0.07abns247.8 ± 24.45 bns
5013.21 ± 0.69 e0.27 ± 0.04 ens0.46 ± 0.05 e1.46 ± 0.11ans185.8 ± 9.8 dns
62.517.76 ± 2.17 b0.52 ± 0.03 bns0.94 ± 0.06 b1.28 ± 0.24bns264.7 ± 30 bns
7512.22 ± 1.4 f0.22 ± 0.09 ens0.38 ± 0.07 e1.39 ± 0.05abns174.5 ± 15.5 dns
023.93 ± 1.96 a0.79 ± 0.03 ans1.42 ± 0.02 a1.26 ± 0.15bns327.4 ± 28.8 ans
HE (herbicide efficacy), ALS (acetolactate synthase), RV (root volume), R/S (root/shoot ratio), RdW (root dry weight), SdW (shoot dry weight). Means with the same letters are not significantly different from others (p < 0.05) according to the Tukey HSD test. For the treatments whose interaction effects were significant, the mean comparison of the main effects is not given in this table, and, for them, the comparison of the means is shown in Figure 1, Figure 2, Figure 3 and Figure 4. ns not significant.
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MDPI and ACS Style

Ghazikhanlou Sani, Y.; Yousefi, A.R.; Jamshidi, K.; Shekari, F.; Gonzalez-Andujar, J.L.; Korres, N.E. Weed Response to ALS-Inhibitor Herbicide (Sulfosulfuron + Metsulfuron Methyl) under Increased Temperature and Carbon Dioxide. Agronomy 2023, 13, 2084. https://doi.org/10.3390/agronomy13082084

AMA Style

Ghazikhanlou Sani Y, Yousefi AR, Jamshidi K, Shekari F, Gonzalez-Andujar JL, Korres NE. Weed Response to ALS-Inhibitor Herbicide (Sulfosulfuron + Metsulfuron Methyl) under Increased Temperature and Carbon Dioxide. Agronomy. 2023; 13(8):2084. https://doi.org/10.3390/agronomy13082084

Chicago/Turabian Style

Ghazikhanlou Sani, Yousef, Ali Reza Yousefi, Khalil Jamshidi, Farid Shekari, Jose L. Gonzalez-Andujar, and Nicholas E. Korres. 2023. "Weed Response to ALS-Inhibitor Herbicide (Sulfosulfuron + Metsulfuron Methyl) under Increased Temperature and Carbon Dioxide" Agronomy 13, no. 8: 2084. https://doi.org/10.3390/agronomy13082084

APA Style

Ghazikhanlou Sani, Y., Yousefi, A. R., Jamshidi, K., Shekari, F., Gonzalez-Andujar, J. L., & Korres, N. E. (2023). Weed Response to ALS-Inhibitor Herbicide (Sulfosulfuron + Metsulfuron Methyl) under Increased Temperature and Carbon Dioxide. Agronomy, 13(8), 2084. https://doi.org/10.3390/agronomy13082084

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