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The effect of temperature and exposure time on redroot pigweed (Amaranthus retroflexus) and yellow foxtail (Setaria pumila) seed mortality in the natural soil seedbank

Published online by Cambridge University Press:  08 May 2024

Valentina Šoštarčić*
Affiliation:
Postdoctoral Researcher, Department of Weed Science, University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
Mateja Pišonić
Affiliation:
Master’s Student, Department of Weed Science, University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
Laura Pismarović
Affiliation:
Ph.D Student, Department of Weed Science, University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
Maja Šćepanović
Affiliation:
Full Professor, Department of Weed Science, University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
*
Corresponding author: Valentina Šoštarčić; Email: vsostarcic@agr.hr
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Abstract

Heat disinfection of soil can be used to reduce the content of the soil seedbank. However, species differ in the lethal temperature needed for seed destruction and mortality. Laboratory research was conducted on the seeds of two weed species, redroot pigweed (Amaranthus retroflexus L.) and yellow foxtail [Setaria pumila (Poir.) Roem. & Schult]. The soil samples were collected at the experimental station Šašinovečki Lug, Zagreb, Croatia (45.850289°N, 16.180465°E), and exposed to linearly increasing constant temperatures of 40, 50, 60, 80, 100, and 120 C and exposure times of 30, 60, and 90 min in a laboratory oven. Weed seeds were then extracted from the soil using the sieve separation method and survival was measured by germinating seeds on filter paper. Germination counts were converted into percentages of mortality compared with untreated seeds. The results show that both temperature and exposure time significantly affected seed mortality of both weed species. Amaranthus retroflexus shows a greater susceptibility to high temperatures than S. pumila. A fitted three-parameter sigmoid model was used to define the relationship between temperature and exposure time needed for 50% (LT50) and 90% (LT90) seed mortality. The estimated LT50 values for A. retroflexus are 58.89 to 46.08 C over the 30- to 90-min exposure times; the estimated LT90 values were 113.36 to 65.72 C for the same durations. The estimated LT50 values for S. pumila over the 30- to 90-min exposure times ranged from 91.33 to 75.15 C; the estimated LT90 ranged from 98.79 to 90.32 C over the same durations. The research results contribute to the knowledge about the thermal sensitivity of seeds. Estimating efficacy of soil-heating treatments is essential when comparing the environmental, economic, and social costs of alternatives to conventional weed control methods.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Weed Science Society of America

Introduction

Thermal treatment of soil has been used in agriculture for decades to control pests, but has recently become more attractive for weed control because of legislative changes in the European Union aimed at reducing the use of herbicides. Methods such as flaming (Knezevic et al. Reference Knezevic, Stepanovic and Datta2014), hot water (De Cauwer et al. Reference De Cauwer, Bogaert, Claerhout, Bulcke and Reheul2015), steam (Melander and Jørgensen Reference Melander and Jørgensen2005), solarization (Cohen et al. Reference Cohen, Gamliel, Katan, Shubert, Guy, Weber and Riov2019), and soil microwave heating (De Wilde et al. Reference De Wilde, Buisson, Yavercovski, Willm, Bieder and Mesléard2017) have been re-examined as possibilities for aboveground weed control (Kristoffersen et al. Reference Kristoffersen, Rask and Larsen2008). Additionally, heat treatments are used to remove undesirable soil organisms (pests, pathogens, and weed seeds). The purpose of soil disinfection for weed control can vary. For example, heat treatments (hot air, steam) are often used as part of experimental protocols in weed research to obtain weed-free soil (Dimaano et al. Reference Dimaano, Tominaga and Iwakami2022; Smith and Burns Reference Smith and Burns2022) or for disinfection when soil is transported and moved to other locations due to the construction of buildings, railways, and roads (Bitarafan et al. Reference Bitarafan, Kaczmarek-Derda, Berge, Tørresen and Fløistad2022).

In agricultural areas, removing weed seeds from the soil reduces future recruitment, an essential goal of sustainable weed control programs. Studies have shown that only 4% to 15% of the seeds that enter the weed seedbank germinate in a given year (Mahé et al. Reference Mahé, Cordeau, Bohan, Derrouch, Dessaint, Millot and Chauvel2021), creating persistent seedbanks with the potential to harm crops for decades. There are practices available that are able to significantly remove weed seeds from the weed seedbank. The exception is heat treatment of soil, but this is impractical in many cases because of the cost and lack of technology to apply the heat properly. A knowledge of the economic or environmental cost of heat treatment is essential when attempting to gauge potential use of alternative technologies such as soil heating. These costs can only be predicted with a good understanding of the effects of heat on soil-borne seeds.

The success of thermal methods of weed control depends on the weed species present in the soil and the temperature and the duration of exposure to the temperature. Weed species can have different tolerances to high temperatures, which are mainly determined by seed characteristics and seed moisture (Egley Reference Egley1990; Thompson et al. Reference Thompson, Jones and Blair1997). Dahlquist et al. (Reference Dahlquist, Prather and Stapleton2007) reported that the seeds of six weed species reached thermal death when exposed to temperatures above 50 C. However, susceptibility to high temperatures varied among the weed species studied. Thompson et al. (Reference Thompson, Jones and Blair1997) found that the lethal temperature for wild oat (Avena fatua L.) seeds was 105 C, while redroot pigweed (Amaranthus retroflexus L.) seeds reached thermal death at 85 C. Hoyle and McElroy (Reference Hoyle and McElroy2012) found that the temperature needed for 50% seed mortality after 20 s of exposure varied from 83 C for large crabgrass [Digitaria sanguinalis (L.) Scop.] to 97 C for Virginia buttonweed (Diodia virginiana L.).

While there are benefits of heat control, including not only weed control but also the reduction of pathogens and pests in the soil, long-term exposure to heat can have negative effects on beneficial organisms (Fenoglio et al. Reference Fenoglio, Gay, Malacarne and Cucco2006; Roux-Michollet et al. Reference Roux-Michollet, Czarnes, Adam, Berry, Commeaux, Guillaumaud, Le Roux and ClaysJosserand2008) and soil properties (Agbeshie et al. Reference Agbeshie, Abugre, Atta-Darkwa and Awuah2022). Although very effective for weed control, high-temperature methods such as flaming can reach 1,121 C (Hoyle et al. Reference Hoyle, McElroy and Rose2012) and may pose a serious threat to beneficial insects and microorganisms. Therefore, it is crucial to estimate the threshold temperature for thermal death of certain weed species in order to mitigate negative effects on soil biology.

This study investigated the effect of temperature and exposure time on two weed species, A. retroflexus and yellow foxtail [Setaria pumila (Poir.) Roem. & Schult], problematic annual summer weeds on agricultural land worldwide. In Croatia, A. retroflexus is the third most common annual dicotyledonous weed species, while S. pumila is the second most common annual monocotyledonous species (Šarić et al. Reference Šarić, Ostojić, Stefanović, Deneva Milanova, Kazinczi and Tyšer2011) in arable fields. The long-term presence of these species in crops globally is also made evident by the development of resistance to repeatedly applied herbicides. Currently, 51 cases of herbicide resistance in A. retroflexus and five cases of resistance in S. pumila are known worldwide (Heap Reference Heap2023). The species are characterized as prolific seed producers with a production of 230,000 to 500,000 seeds of A. retroflexus and 3,600 to 12,000 seeds of S. pumila per plant (Peters and Yokum Reference Peters and Yokum1961; Stevens Reference Stevens1957). The dormancy of these two species is described as non–deep physiological dormancy (Baskin and Baskin Reference Baskin and Baskin2004). A small proportion of the buried seeds of A. retroflexus remain viable for more than 30 yr (Crocker Reference Crocker1916), but Egley and Chandler (Reference Egley and Chandler1983) found that only 1% of the seeds are still viable after 5.5 yr. In addition, the depth to which seed is sown can also influence the viability of the seeds. For example, seed buried 107-cm deep in Duvel’s burial experiment had a germination percentage of 48% after 10 yr (Goss Reference Goss1924; Toole Reference Toole1946). Setaria pumila seeds lose their viability after 3 yr of burial in the soil (Masin et al. Reference Masin, Zuin, Otto and Zanin2006).

The aim of the experiment was to determine mortality of A. retroflexus and S. pumila in the natural soil seedbank when exposed to linearly increasing constant temperatures (40, 50, 60, 80, 100, and 120 C) and exposure times (30, 60, and 90 min). In addition, the lethal temperature was estimated for 50% (LT50) and 90% (LT90) of the seed mortality of A. retroflexus and S. pumila at each exposure time (30, 60, and 90 min).

Materials and Methods

Soil Sampling and Preparation

Soil sampling was carried out on November 2, 2022, at the Experimental Station of the University of Zagreb, Faculty of Agriculture, Šašinovečki Lug (45.850289°N, 16.180465°E) on a 2-ha arable field. The soil was silt loam (11.6% sand, 66.9% silt, and 21.5% clay) with 2.7% humus, 1.3% organic carbon content, and a pH (H2O) of 8.2. The site was previously cultivated with soybean [Glycine max (L.) Merr.] that was harvested on October 13, 2022. The soil samples were collected in a W-shaped pattern across the field (Forcella et al. Reference Forcella, Wilson, Renner, Dekker, Harvey, Alm, Buhler and Cardina1992). A total of 190 topsoil samples were collected to a depth of 5 cm (Csontos Reference Csontos2007) using a 5-cm-diameter soil probe (Sample Liner, Eijkelkamp Soil & Water B.V., Royal Eijkalkamp, Giesbeek, The Netherlands), which corresponds to a total soil sample volume of 19,000 cm3 (28.5 kg). The soil samples were taken at a depth of 5 cm to collect the newly dispersed seeds in the soil seedbank together with aged seed in the soil seedbank (Clements et al. Reference Clements, Benott, Murphy and Swanton1996; Gardarin et al. Reference Gardarin, Dürr and Colbach2010). The soil samples were then mixed into a homogeneous sample and stored in a plastic container (54.8 by 38.4 by 28.3 cm) in the dark at 5 C until the start of the experiment on March 2, 2023 (González and Ghermandi Reference González and Ghermandi2012).

Soil Disinfection

Soil samples were exposed to temperatures of 40, 50, 60, 80, 100, and 120 C and for durations of 30, 60, and 90 min in a laboratory oven (UF 260, Memmert, Germany). The oven was allowed to stabilize for 1 h at each temperature before samples were heated. In total there were 19 treatments in one run (6 temperatures × 3 exposure times = 18 treatments + control treatment). The soil was divided into three subsamples (250 g), and each subsample was considered a replicate of a treatment, giving a total of 57 samples in one experiment. The soil samples were sieved through a 0.2-cm mesh and spread in a 2-cm-thick layer on a metal plate (25 by 55 cm) before being placed in the laboratory oven. The control treatment contained the soil sample that was not subjected to the heat treatment. This non-disinfected soil was used to isolate weed seeds and determine the quantity, composition, and germination of A. retroflexus and S. pumila seeds in the natural seedbank. After soil disinfection was completed for each treatment, the soil and the seeds it contained were allowed to cool to room temperature for 24 h before seed extraction was performed.

Seed Extraction from the Soil

The soil seedbank was analyzed separately for each of the 114 samples (57 samples × 2 runs) of the heat-treated soil. Each subsample was pretreated with 20 g of sodium hexametaphosphate (Na6[(PO3)6], Sigma-Aldrich Chemie 68915-31-1, Steinheim, Germany) in 500 ml of tap water (20 C) for 20 min to dissolve the structural aggregates (Malone Reference Malone1967). Seed extraction was performed using the sieve technique. The subsamples were washed with running water through a system of four sieves (3, 1.25, and 1 mm and 630 µm). A vibrating sieve machine (AS 200 Basic, Retsch, Haan, Germany) was used for sieving, with the shaking time set to 5 min at an amplitude of 1.2 mm. After the soil was washed, the residue in the sieve was placed on filter paper sheets so weed seeds could be isolated and identified under a magnifying glass.

Germination Test

Isolated seeds of A. retroflexus and S. pumila exposed to the studied temperatures and exposure times were placed in 9-cm-diameter glass petri dishes lined with two Whatman No. 1 filter papers (Sigma-Aldrich, Steinheim, Germany) and moistened with 4 ml of distilled water. The petri dishes were sealed with Parafilm® (The Paul Marienfeld GmbH & Co. KG, Lauda-Königshofen, Germany) to prevent evaporation and placed in a climate chamber (HCP 108, Memmert, Schwabach, Germany) at a constant temperature of 24 C with 70% humidity and a 12-h day/12-h night photoperiod. The light intensity in the chamber was 40 to 50 μmol m−2. Germination was recorded 2 wk after sowing. The seeds were considered germinated when the radicle was 1 mm in size. The tetrazolium test was not performed, as it was not possible to remove or pierce the seed coat of A. retroflexus without destroying the embryo (Dahlquist et al. Reference Dahlquist, Prather and Stapleton2007; Vidotto et al. Reference Vidotto, De Palo and Ferrero2013).

Statistical Analysis

Statistical data analyses were performed in the R software and environment v. 4.1.1 (R Core Team 2022). The relative seed mortality (RSM) was determined using the following calculation (adapted from Hoyle and McElroy Reference Hoyle and McElroy2012):

(1) $$RSM = 100 - \left( {{{\% germ\ treat} \over {\% germ\ control}}} \right) \times 100$$

where % germ treat is the germination measured after heat treatment, and % germ control is the germination measured for seed extracted from the nontreated soil.

The data were the mean of two runs, and there was no significant difference between two experimental runs. A two-way ANOVA was performed to analyze the effect of temperature and exposure time on seed mortality. Data were checked for normality and homogeneity of variance by graphical inspection of residuals and Levene’s test. Transformation did not improve the homogeneity of variance; therefore, original values were subjected to further analysis. To compare the effect of heat treatment on RSM, estimated marginal means (Searle et al. Reference Searle, Speed and Milliken1980) were generated using the R package emmeans (Lenth Reference Lenth2023), and means were separated with Tukey’s honestly significant difference (HSD) test at P ≤ 0.05.

To estimate the lethal temperature parameters (LT50 and LT90), the data were subjected to dose–response analysis using R package drc (Ritz et al. Reference Ritz, Baty, Streibig and Gerhard2015). RSM (%) at different temperatures and exposure times was fit to a three-parameter Weibull function (W1.3 and W2.3). The Akaike information criterion (AIC) was used to select the best model (lowest AIC score). The goodness of fit of all selected models was determined using the R2 and root mean-square error (RMSE) values. The 95% confidence intervals for LT50 and LT90 at different exposure times were determined using a bootstrap method (Efron Reference Efron1979). The LT50 and LT90 values were compared according to criterion of overlap of the 95% confidence intervals. If there was no overlap of the confidence intervals, the difference was determined to be significant.

Results and Discussion

Composition of the Soil Seedbank

Analysis of the soil seedbank taken from the field previously sown with soybean revealed the presence of seeds of nine different weed species, including the two studied species, A. retroflexus and S. pumila. A total density of 15,768 seeds m−2 at the 5-cm depth were isolated in the experiment, of which 13,756 were seeds of A. retroflexus and 1,346 were seeds of S. pumila.

Other species were present in smaller quantities (number of seeds per square meter indicated in parentheses), such as barnyardgrass [Echinochloa crus-galli (L.) P. Beauv.] (441), spotted ladysthumb (Polygonum persicaria L.) (77), common ragweed (Ambrosia artemisiifolia L.) (72), birdeye speedwell (Veronica persica Poir.) (34), jimsonweed (Datura stramonium L.) (26), black bindweed [Polygonum convolvulus L.] (11), and prostrate knotweed (Polygonum aviculare L.) (5).

Initial germination of seeds isolated from the control soil sample without prior heat treatment showed germination of 58.6% of S. pumila seeds and 40.3% of A. retroflexus seeds. The percentage of germination of the two species analyzed and the amount of seed isolated from the soil provide information about the age of the seedbank in the soil. The field from which the soil samples were taken is an experimental field that has been continuously infested for the last 12 yr.

RSM

The results of the two-way ANOVA showed that both temperature and exposure time influenced mortality of A. retroflexus and S. pumila seeds (Table 1). In general, all temperature treatments reduced RSM of the weed species A. retroflexus, with overall RSM ranging from 18.0% to 100.0% (Figure 1). The lowest RSM was determined at a temperature of 40 C (18.0% to 19.8%). Starting at 50 C for 30 min, there was a significant difference in RSM compared with all time intervals of exposure at 40 C. The RSM increased with the exposure time from 49.6% for 30 min to 70.2% for 90 min. At 60 C for 90 min, RSM of A. retroflexus was 80%, but not significantly different from the treatments at 80 C in all intervals. RSM was 100% for all durations at 100 and 120 C, with no significant differences between temperature and exposure time.

Table 1. The results of the two-way ANOVA for the relative seed mortality (%) of Amaranthus retroflexus and Setaria pumila at different temperatures (40, 50, 60, 80, 100, and 120 C) and exposure times (30, 60, and 90 min) of the seeds

*P = 0.05.

**P = 0.01.

***P < 0.001.

Figure 1. Effect of temperature (40, 50, 60, 80, 100, and 120 C) and exposure time (30, 60, and 90 min) on relative seed mortality (RSM) of Amaranthus retroflexus. The same letters indicate means are not significantly different (P < 0.05) when tested with Tukey’s honestly significant difference (HSD) test.

Similar results have been reported by other authors for A. retroflexus. Ye and Wen (Reference Ye and Wen2017) studied the effects of high temperatures on two Amaranthus spp. in the temperature range of 30 to 95 C. Germination of Joseph’s coat (Amaranthus tricolor L.) was reduced by 60% to 70% after treatment at 60 C for 30 min. In contrast, the viability of spiny amaranth (Amaranthus spinosus L.) was unaffected under the same conditions (60 C for 30 min), indicating the different sensitivities to high temperatures, even among species belonging to the same family and genus and having a similar seed structure. A similar pattern can be observed in species belonging to the Asteraceae family. Wen (Reference Wen2015) found that only 40% of the seeds of tree marigold [Tithonia diversifolia (Hemsl.) A. Gray; Asteraceae] germinated at 60 C for 30 min, while no seeds survived at 65 C or above. In contrast, Yuan and Wen (Reference Yuan and Wen2018) studied the effect of heat from 30 to 95 C on the seeds of three Asteraceae species, redflower ragleaf [Crassocephalum crepidioides (Benth.) S. Moore], Canadian horseweed [Conyza canadensis (L.) Cronquist], and tropical whiteweed (Ageratum conyzoides L). All seeds failed to germinate after being heated to 55 C (for C. crepidioides and C. canadensis) or 60 C (for A. conyzoides) and above for 30 min.

Temperature and duration of exposure had less effect on S. pumila seeds (Figure 2) compared with A. retroflexus seeds (Figure 1). RSM at temperatures of 40, 50, and 60 was minimal for all exposure durations. The only exception was the treatment at 90 min at 60 C causing a maximum of 16.17% RSM, which was not significantly different from seeds that were exposed for 30 or 60 min at 80 C. However, a significantly higher percentage of RSM was observed at 80 C for 90 min (64.6%). At temperatures ≥100 C, RSM was ≥93.3%. Germination for both species was nil at 100 and 120 C for all exposure durations.

Figure 2. Effect of temperature (40, 50, 60, 80, 100, and 120 C) and exposure time (30, 60, and 90 min) on relative seed mortality (RSM) of Setaria pumila. The same letters indicate means are not significantly different (P < 0.05) when tested with Tukey’s honestly significant difference (HSD) test.

There is a lack of studies investigating the effects of high temperatures on the seeds of S. pumila. However, similar studies were conducted for other species belonging to the Poaceae family. Dahlquist et al. (Reference Dahlquist, Prather and Stapleton2007) reported 100% germination reduction of E. crus-galli exposed for 17 min at 70 C and concluded that E. crus-galli is much more susceptible to heat treatment compared with black nightshade (Solanum nigrum L.), common purslane (Portulaca oleracea L.), and tumble pigweed (Amaranthus albus L.). In contrast, Vidotto et al. (Reference Vidotto, De Palo and Ferrero2013) and Bàrberi et al. (Reference Bàrberi, Moonen, Peruzzi, Fontanelli and Raffaelli2009) observed that E. crus-galli is less susceptible to heat treatment than A. retroflexus and P. oleracea. Clark and French (Reference Clark and French2005) investigated the response of 22 Poaceae species to heat by studying germination after exposure to three temperatures of 40, 80, and 120 C for 2 min in a gravity convection oven. The results showed no pattern between the Poaceae species. However, in most of the species studied, germination increased upon exposure to higher temperatures. Similarly, González-Rabanal and Casal (Reference González-Rabanal and Casal1995) studied the effect of high temperature on 10 species, including three Poaceae: bristlegrass (Agrostis curtisii Kerguelen), bentgrass (Agrostis delicatula Pourr. ex Lapeyr.), and Avenula marginata (Lowe) Holub. at two temperatures (80 and 110 C) for 5 min. The germination of these species was slightly (2% to 10% compared with the control) or not at all affected when exposed to the aforementioned temperatures. In both studies, species were exposed to high temperatures for only a short time (2 and 5 min). In our study, the RSM of S. pumila at 80 C for 90 min (64.6%) was significantly different from RSM at the same temperature and shorter exposures (30 and 60 min; 8.8% and 18.9%, respectively). Similarly, Smith et al. (Reference Smith, Bell and Loneragan1999) exposed the seeds of two grass species, compact needlegrass [Austrostipa compressa (R.Br.) S.W.L. Jacobs & J. Everett] and perennial veldtgrass (Ehrharta calycina Sm.), to 70, 80, or 90 C for 10, 20, 30, or 60 min. At 90 C, 37% of A. compressa seeds survived 30 min of heat, but only 4% germinated after 60-min exposure. Similarly, in our study, 30 min of exposure to 80 C caused 76.6% RSM of S. pumila. The seeds of E. calycina survive at 70 or 80 C for up to 60 min, as did S. pumila seeds in our study, for which 100% RSM was observed only for 60 min exposure at 100 C.

Lethal Temperature Model

The temperature at which seed mortality was reduced by 50% and 90% at different exposure times was estimated using the fitted three-parameter sigmoid model. Separate models were created for each exposure time (30, 60, and 90 min) and temperature (40, 50, 60, 80, 100, and 120 C).

For A. retroflexus, overlap was found between the estimated LT50 and LT90 temperature at different exposure times in the 95% confidence intervals between LT50 at 60 and 90 min of exposure (46.1 ± 1.4 and 46.3 ± 0.9 C). In addition, the estimated LT90 values at 60 and 90 min (65.3 ± 6.8 and 65.7 ± 4.2 C) of exposure also overlapped in the 95% confidence intervals, so that no statistical difference was found at these lethal temperatures (Table 2). Vidotto et al. (Reference Vidotto, De Palo and Ferrero2013) estimated the LT99 for A. retroflexus to be 70.9 C. Compared with the other species included in the study, A. retroflexus was found to be the second most sensitive species to high temperatures, while E. crus-galli and green foxtail [Setaria viridis (L.) P. Beauv.] were found to be less sensitive, with estimated LT99 values of 79.6 and 75.8 C, respectively.

Table 2. Estimated lethal temperatures required for 50% (LT50) and 90% (LT90) of seed mortality and model performance metrics (coefficient of determination [R2] and root mean-square error [RMSE]) for the seeds of the species Amaranthus retroflexus (AMARE) and Setaria pumila (SETPU) at different exposure times

a CI, confidence interval.

The estimated LT50 temperatures for S. pumila at 30, 60, and 90 min ranged from 75.2 ± 0.9 to 91.3 ± 1.1 C, with the temperature increasing as the exposure time was shortened (Table 2). Statistical difference was found between the estimated temperature of LT50 at different exposure times. In contrast, the estimated temperatures for LT90 at three exposure times ranged from 90.3 ± 1.8 to 98.8 ± 1.3 C and overlapped in the 95% confidence intervals, so no statistical difference was found between these temperatures. In Vidotto et al. (Reference Vidotto, De Palo and Ferrero2013) estimated the temperature needed for 99% germination reduction for the closely related species S. viridis to be 75.8 C, which is lower than the temperatures estimated for S. pumila in this study.

The temperature differences needed for a 50% germination reduction have even been found in different populations of the same species. For example, Bitarafan et al. (Reference Bitarafan, Kaczmarek-Derda, Berge, Tørresen and Fløistad2022) estimated 50% and 90% seed mortality of four E. crus-galli populations in the range of 62 to 68 C and 76 to 86 C, respectively, during soil steaming (0.5, 1.5, 3, and 9 min). They found no effect of duration on seed mortality. In addition, Wang et al. (Reference Wang, Huang, Zhang, Liu and Wang2018) found that the differences between three populations of the grass species Japanese foxtail (Alopecurus japonicus Steud.) at the estimated temperature for 50% germination reduction (5-min heat shock with soaked seed) were 72, 95, and 104 C, respectively. Similarly, Bolfrey-Arku et al. (Reference Bolfrey-Arku, Chauhan and Johnson2011) estimated the temperature for 50% germination reduction of two Philippine populations of itchgrass [Rottboellia cochinchinensis (Lour.) W.D. Clayton] to be 145 and 151 C. Also, Weller et al. (Reference Weller, Florentine and Chauhan2019) estimated the temperature difference for 50% germination reduction between seeds of the annual weed red sprangletop [Dinebra panicea var. brachiata (Steud.) P.M. Peterson & N. Snow] collected in two different years (2015 and 2016) to be 93 and 99 C, respectively. Temperatures needed for 50% germination reduction were also estimated by Fernando et al. (Reference Fernando, Humphries, Florentine and Chauhan2016) for another grass weed, feather fingergrass (Chloris virgata Sw.). The estimated temperature for 50% germination reduction was 88 C for presoaked seeds and 119 C for dry seeds. Differences between dry and presoaked seeds in terms of lethal temperature were also observed for the annual winter grass Tausch’s goatgrass (Aegilops tauschii Coss.), where the temperature for 50% germination was 110 C for dry seeds and 70 C for presoaked seeds.

The heat sensitivity of the two species studied is different, with A. retroflexus showing greater susceptibility to high temperatures than S. pumila. According to the cited sources, the differences in temperature sensitivity were explained by various factors, such as seed size, seed structure, and protein content. Moonen et al. (Reference Moonen, Bàrberi, Raffaelli, Mainardi, Peruzzi and Mazzoncini2002) reported that seed size does not seem to play a role in heat sensitivity. Several authors (Andreasen et al. Reference Andreasen, Bitarafan, Fenselau and Glasner2018; Jakobsen et al. Reference Jakobsen, Jensen, Bitarafan and Andreasen2019; Vidotto et al. Reference Vidotto, De Palo and Ferrero2013) found that large seeds are less sensitive to heat than small seed species. In addition, Bitarafan et al. (Reference Bitarafan, Kaczmarek-Derda, Berge, Tørresen and Fløistad2022) investigated the sensitivity of four Norwegian and one Polish population of E. crus-galli and found that the Norwegian population, which had the smallest seed (1,000-seed weight: 0.97 g), was more sensitive to temperature than the other three populations (1,000-seed weight: 1.11 to 2.57 g). The seeds of A. retroflexus and S. pumila used in this study have dimensions (length by width) of 1.15 by 0.90 and 3.30 by 2.06 mm, and 1,000-seed weights of 0.48 and 3.09 g, respectively (unpublished data). It is evident that the seeds of A. retroflexus are smaller than those of S. pumila, which could explain the higher sensitivity of A. retroflexus to temperature. Apart from seed size, the protein content of seeds could also play a role in sensitivity to high temperatures.

Further research should focus on harmonizing the methodology while investigating the effects of heat on weed seeds. Currently, there are various approaches, such as placing the seeds in bags and burying them in the soil (Bitarafan et al. Reference Bitarafan, Kaczmarek-Derda, Berge, Tørresen and Fløistad2022; Fernando et al. Reference Fernando, Humphries, Florentine and Chauhan2016; Wang et al. Reference Wang, Huang, Zhang, Liu and Wang2018, Reference Wang, Zhao, Li, Chen, Liu and Wang2020); placing the seeds in aluminum plates and directly in the oven (Mahmood et al. Reference Mahmood, Florentine, Chauhan, McLaren, Palmer and Wright2016; Weller et al. Reference Weller, Florentine and Chauhan2019); placing the seeds in triangular flasks and water baths (Wen Reference Wen2015; Ye and Wen Reference Ye and Wen2017; Yuan and Wen Reference Yuan and Wen2018); and removing the soil from the field, exposing it to high temperatures in the oven, and then allowing the seeds to emerge in the greenhouse (Melander and Jørgensen Reference Melander and Jørgensen2005; Read et al. Reference Read, Bellairs, Mulligan and Lamb2000). In contrast to the majority of studies, the seeds analyzed in this study were sourced from the natural soil seedbank and extracted directly from the soil from a depth of 5 cm. In accordance with physical methods of weed control such as flaming, soil steaming, and soil solarization, the heat that penetrates the soil decreases with depth, and thus the mortality decreases with depth (Melander and Jørgensen Reference Melander and Jørgensen2005). Therefore, knowledge of the heat sensitivity of certain species is in practice more useful for the seeds in the upper soil layer. This approach enables more accurate simulation of field heat application and the observation of its effects on the natural soil seedbank under controlled laboratory conditions. The translation of temperature and exposure time to the practical application depends on the technology used, for example, soil steaming can cause faster soil heating than soil solarization. According to Horowitz et al. (Reference Horowitz, Regev and Herzlinger1983), the temperature at a depth of 5 cm under the transparent films used for soil solarization increased the average soil temperature of 9.3 C compared with the soil without film cover. The temperature at a depth of 5 cm reached between 39.7 and 49.5 C, depending on the type of polythene film. At a depth of 15 cm, the temperature did not exceed 36 C, regardless of the type of polythene film. In contrast, temperatures of up to 100 C were recorded for about 10 min at a depth of 15 cm when the soil was steamed (Raffaelli et al. Reference Raffaelli, Peruzzi, Del Sarto, Mainardi, Pulga and Pannocchia2002). The valuable information here is therefore the sensitivity of the seed to high temperatures at different exposure times, which gives insight into the effect a certain physical weed control technique could have on some weed species.

The results of this study could be useful to predict the efficacy of soil heating to reduce the weed seedbank. Because A. retroflexus and S. pumila had the highest emergence from the 2-cm-thick layer (Dowsett et al. Reference Dowsett, Buddenhagen, James and McGill2018; Khan et al. Reference Khan, Mobli, Werth and Chauhan2022), using the estimated lethal temperature should provide good results for seeds in this topsoil layer.

Funding statement

This research received no specific grant from any funding agency or the commercial or not-for-profit sectors.

Competing interests

The authors declare no competing interests.

Footnotes

Associate Editor: Bhagirath Chauhan, The University of Queensland

References

Agbeshie, AA, Abugre, S, Atta-Darkwa, T, Awuah, R (2022) A review of the effects of forest fire on soil properties. J For Res 33:14191441 10.1007/s11676-022-01475-4CrossRefGoogle Scholar
Andreasen, C, Bitarafan, Z, Fenselau, J, Glasner, C (2018) Exploiting waste heat from combine harvesters to damage harvested weed seeds and reduce weed infestation. Agriculture 8:42 10.3390/agriculture8030042CrossRefGoogle Scholar
Bàrberi, P, Moonen, AC, Peruzzi, A, Fontanelli, M, Raffaelli, M (2009) Weed suppression by soil steaming in combination with activating compounds. Weed Res 49:5566 10.1111/j.1365-3180.2008.00653.xCrossRefGoogle Scholar
Baskin, J, Baskin, C (2004) A classification system for seed dormancy. Seed Sci Res 14:116 10.1079/SSR2003150CrossRefGoogle Scholar
Bitarafan, Z, Kaczmarek-Derda, W, Berge, TW, Tørresen, KS, Fløistad, IS (2022) Soil steaming to disinfect barnyardgrass-infested soil masses. Weed Technol 36:177185 10.1017/wet.2021.107CrossRefGoogle Scholar
Bolfrey-Arku, GEK, Chauhan, BS, Johnson, DE (2011) Seed germination ecology of itchgrass (Rottboellia cochinchinensis). Weed Sci 59:182187 10.1614/WS-D-10-00095.1CrossRefGoogle Scholar
Clark, S, French, K (2005) Germination response to heat and smoke of 22 Poaceae species from grassy woodlands. Aust J Bot 53:445454 10.1071/BT04017CrossRefGoogle Scholar
Clements, DR, Benott, DL, Murphy, SD, Swanton, CJ (1996) Tillage effects on weed seed return and seedbank composition. Weed Sci 44:314322 10.1017/S0043174500093942CrossRefGoogle Scholar
Cohen, O, Gamliel, A, Katan, J, Shubert, I, Guy, A, Weber, G, Riov, J (2019) Soil solarization based on natural soil moisture: a practical approach for reducing the seed bank of invasive plants in wetlands. NeoBiota 51:118 10.3897/neobiota.51.36838CrossRefGoogle Scholar
Crocker, W (1916) Mechanics of dormancy in seeds. Am J Bot 3:99120 10.1002/j.1537-2197.1916.tb05406.xCrossRefGoogle Scholar
Csontos, P (2007) Seed banks: ecological definitions and sampling considerations. Community Ecol 8:7585 10.1556/ComEc.8.2007.1.10CrossRefGoogle Scholar
Dahlquist, RM, Prather, TS, Stapleton, JJ (2007) Time and temperature requirements for weed seed thermal death. Weed Sci 55:619625 10.1614/WS-04-178.1CrossRefGoogle Scholar
De Cauwer, B, Bogaert, S, Claerhout, S, Bulcke, R, Reheul, D (2015) Efficacy and reduced fuel use for hot water weed control on pavements. Weed Res 55:195205 10.1111/wre.12132CrossRefGoogle Scholar
De Wilde, M, Buisson, E, Yavercovski, N, Willm, L, Bieder, L, Mesléard, F (2017) Using microwave soil heating to inhibit invasive species seed germination. Invasive Plant Sci Manag 10:262270 10.1017/inp.2017.29CrossRefGoogle Scholar
Dimaano, N, Tominaga, T, Iwakami, S (2022) Thiobencarb resistance mechanism is distinct from CYP81A-based cross-resistance in late watergrass (Echinochloa phyllopogon). Weed Sci 70:160166 10.1017/wsc.2022.4CrossRefGoogle Scholar
Dowsett, CA, Buddenhagen, C, James, TK, McGill, CR (2018) Yellow bristle grass (Setaria pumila) germination biology. NZ Plant Prot 71:7280 Google Scholar
Efron, B (1979) Bootstrap methods: another look at the jackknife. Ann Statist 7:126 10.1214/aos/1176344552CrossRefGoogle Scholar
Egley, GH (1990) High-temperature effects on germination and survival of weed seeds in soil. Weed Sci 38:429435 10.1017/S0043174500056794CrossRefGoogle Scholar
Egley, GH, Chandler, JM (1983) Germination and viability of weed seeds after 5.5 years in Stoneville 50-year buried-seed study. Weed Sci 31:264270 10.1017/S0043174500068958CrossRefGoogle Scholar
Fenoglio, S, Gay, P, Malacarne, G, Cucco, M (2006) Rapid recolonization of agricultural soil by microarthropods after steam disinfestation. Sustain Agric 27:125135 10.1300/J064v27n04_09CrossRefGoogle Scholar
Fernando, N, Humphries, T, Florentine, SK, Chauhan, BS (2016) Factors affecting seed germination of feather fingergrass (Chloris virgata). Weed Sci 64:605612 10.1614/WS-D-15-00212.1CrossRefGoogle Scholar
Forcella, F, Wilson, RG, Renner, KA, Dekker, J, Harvey, RG, Alm, DA, Buhler, DD, Cardina, J (1992) Weed seed banks of the U.S. Corn Belt: magnitude, variation, emergence, and application. Weed Sci 40:636644 10.1017/S0043174500058240CrossRefGoogle Scholar
Gardarin, A, Dürr, C, Colbach, N (2010) Effects of seed depth and soil structure on the emergence of weeds with contrasted seed traits. Weed Res 50:91101 10.1111/j.1365-3180.2009.00757.xCrossRefGoogle Scholar
González, SL, Ghermandi, L (2012) Comparison of methods to estimate soil seed banks: the role of seed size and mass. Community Ecol 13:238242 10.1556/ComEc.13.2012.2.14CrossRefGoogle Scholar
González-Rabanal, F, Casal, M (1995) Effect of high temperatures and ash on germination of ten species from gorse shrubland. Vegetatio 116:123131 10.1007/BF00045303CrossRefGoogle Scholar
Goss, WL (1924) The viability of buried seeds. J Agric Res 29:349362 Google Scholar
Heap, I (2023) The International Herbicide-Resistant Weed Database. www.weedscience.org. Accessed: November 17, 2023Google Scholar
Horowitz, M, Regev, Y, Herzlinger, G (1983) Solarization for weed control. Weed Sci 31:170179 10.1017/S0043174500068788CrossRefGoogle Scholar
Hoyle, JA, McElroy, JS (2012) Relationship between temperature and heat duration on large crabgrass (Digitaria sanguinalis), Virginia buttonweed (Diodia virginiana), and cock’s-comb kyllinga (Kyllinga squamulata) seed mortality. Weed Technol 26:800806 10.1614/WT-D-11-00160.1CrossRefGoogle Scholar
Hoyle, JA, McElroy, JS, Rose, JJ (2012) Weed control using an enclosed thermal heating apparatus. Weed Technol 26:699707 10.1614/WT-D-12-00057.1CrossRefGoogle Scholar
Jakobsen, K, Jensen, JA, Bitarafan, Z, Andreasen, C (2019) Killing weed seeds with exhaust gas from a combine harvester. Agronomy 9:544 10.3390/agronomy9090544CrossRefGoogle Scholar
Khan, AM, Mobli, A, Werth, JA, Chauhan, BS (2022) Germination and seed persistence of Amaranthus retroflexus and Amaranthus viridis: two emerging weeds in Australian cotton and other summer crops. PLoS ONE 17(2):e0263798 10.1371/journal.pone.0263798CrossRefGoogle ScholarPubMed
Knezevic, SZ, Stepanovic, S, Datta, A (2014) Growth stage affects response of selected weed species to flaming. Weed Technol 28:233242 10.1614/WT-D-13-00054.1CrossRefGoogle Scholar
Kristoffersen, P, Rask, AM, Larsen, SU (2008) Nonchemical weed control on traffic islands: a comparison of the efficacy of five weed control techniques. Weed Res 48:124130 10.1111/j.1365-3180.2007.00612.xCrossRefGoogle Scholar
Lenth, R (2023) EMMeans: Estimated Marginal Means (Least-Squares Means). R Package Version 1.8.5. https://CRAN.R-project.org/package=emmeans. Accessed: May 23, 2023Google Scholar
Mahé, I, Cordeau, S, Bohan, DA, Derrouch, D, Dessaint, F, Millot, D, Chauvel, B (2021) Soil seedbank: old methods for new challenges in agroecology? Ann Appl Biol 178:2338 10.1111/aab.12619CrossRefGoogle Scholar
Mahmood, AH, Florentine, SK, Chauhan, BS, McLaren, DA, Palmer, GC, Wright, W (2016) Influence of various environmental factors on seed germination and seedling emergence of a noxious environmental weed: green galenia (Galenia pubescens). Weed Sci 64:486494.10.1614/WS-D-15-00184.1CrossRefGoogle Scholar
Malone, C (1967) A rapid method for enumeration of viable seeds in soil. Weeds 15:381382 10.2307/4041016CrossRefGoogle Scholar
Masin, R, Zuin, M, Otto, S, Zanin, G (2006) Seed longevity and dormancy of four summer annual grass weeds in turf. Weed Res 46:362370 10.1111/j.1365-3180.2006.00520.xCrossRefGoogle Scholar
Melander, B, Jørgensen, M (2005) Soil steaming to reduce intrarow weed seedling emergence. Weed Res 45:202211 10.1111/j.1365-3180.2005.00449.xCrossRefGoogle Scholar
Moonen, AC, Bàrberi, P, Raffaelli, M, Mainardi, M, Peruzzi, A, Mazzoncini, M (2002) Soil steaming with an innovative machine—effect on the weed seed bank. Pages 230–236 in Proceedings of the 5th EWRS Workshop on Physical Weed Control. Pisa, Italy: European Weed Research SocietyGoogle Scholar
Peters, RA, Yokum, HC (1961) Progress report on a study of the germination and growth of yellow foxtail (Setaria glauca L. Beauv.) NEWCC Proc 15:350355 Google Scholar
Raffaelli, M, Peruzzi, A, Del Sarto, R, Mainardi, M, Pulga, L, Pannocchia, A (2002) Effetto del vapore e di sostanze a reazione esotermiche sul riscaldamento del terreno: risultati di un quadriennio di sperimentazione. Pages 45–52 in Vapore acqueo e sostanze a reazione esotermica: combinazione a ridotto impatto ambientale per disinfezione e disinfestazione terreni, Forlì 30 ottobre 2002Google Scholar
R Core Team (2022) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org Google Scholar
Read, TR, Bellairs, SM, Mulligan, DR, Lamb, D (2000) Smoke and heat effects on soil seed bank germination for the re-establishment of a native forest community in New South Wales. Austral Ecol 25:4857 10.1046/j.1442-9993.2000.01031.xCrossRefGoogle Scholar
Ritz, C, Baty, F, Streibig, JC, Gerhard, D (2015) Dose–response analysis using R. PLoS ONE 10(12):e0146021 10.1371/journal.pone.0146021CrossRefGoogle ScholarPubMed
Roux-Michollet, D, Czarnes, S, Adam, B, Berry, D, Commeaux, C, Guillaumaud, N, Le Roux, X, ClaysJosserand, A (2008) Effect of steam disinfestation on community structure, abundance and activity of heterotrophic, denitrifying and nitrifying bacteria in an organic farming soil. Soil Biol Biochem 40:18361845 10.1016/j.soilbio.2008.03.007CrossRefGoogle Scholar
Šarić, T, Ostojić, Z, Stefanović, L, Deneva Milanova, S, Kazinczi, G, Tyšer, L (2011) The changes of the composition of weed flora in southeastern and central Europe as affected by cropping practices. Herbologia 12:812 Google Scholar
Searle, SR, Speed, FM, Milliken, GA (1980) Population marginal means in the linear model: an alternative to least squares means. Am Stat 34:216221 10.1080/00031305.1980.10483031CrossRefGoogle Scholar
Smith, A, Burns, E (2022) Impacts of drought intensity and weed competition on drought tolerant corn performance. Weed Sci 70:455462 10.1017/wsc.2022.34CrossRefGoogle Scholar
Smith, MA, Bell, DT, Loneragan, WA (1999) Comparative seed germination ecology of Austrostipa compressa and Ehrharta calycina (Poaceae) in a Western Australian Banksia woodland. Aust J Ecol 24:3542.10.1046/j.1442-9993.1999.00944.xCrossRefGoogle Scholar
Stevens, O (1957) Weights of seeds and numbers per plant. Weeds 5:4655 10.2307/4040327CrossRefGoogle Scholar
Thompson, AJ, Jones, NE, Blair, AM (1997) The effect of temperature on viability of imbibed weed seeds. Ann Appl Biol 130:123134 10.1111/j.1744-7348.1997.tb05788.xCrossRefGoogle Scholar
Toole, EH (1946) Final results of the Duvel buried seed experiment. J Agric Res 76:201210 Google Scholar
Vidotto, F, De Palo, F, Ferrero, A (2013) Effect of short-duration high temperatures on weed seed germination. Ann Appl Biol 163:454465 10.1111/aab.12070CrossRefGoogle Scholar
Wang, H, Huang, Y, Zhang, L, Liu, W, Wang, J (2018) Japanese foxtail (Alopecurus japonicus) management in wheat in China: seed germination, seedling emergence, and response to herbicide treatments. Weed Technol 32:211220 10.1017/wet.2017.87CrossRefGoogle Scholar
Wang, H, Zhao, K, Li, X, Chen, X, Liu, W, Wang, J (2020) Factors affecting seed germination and emergence of Aegilops tauschii . Weed Res 60:171181 10.1111/wre.12410CrossRefGoogle Scholar
Weller, S, Florentine, S, Chauhan, B (2019) Influence of selected environmental factors on seed germination and seedling emergence of Dinebra panicea var. brachiata (Steud.). Crop Prot 117:121127 10.1016/j.cropro.2018.12.001CrossRefGoogle Scholar
Wen, B (2015) Effects of high temperature and water stress on seed germination of the invasive species Mexican sunflower. PLoS ONE 10(10):e0141567 10.1371/journal.pone.0141567CrossRefGoogle ScholarPubMed
Ye, J, Wen, B (2017) Seed germination in relation to the invasiveness in spiny amaranth and edible amaranth in Xishuangbanna, SW China. PLoS ONE 12(4):e0175948 10.1371/journal.pone.0175948CrossRefGoogle Scholar
Yuan, X, Wen, B (2018) Seed germination response to high temperature and water stress in three invasive Asteraceae weeds from Xishuangbanna, SW China. PLoS ONE 13(1):e0191710 10.1371/journal.pone.0191710CrossRefGoogle ScholarPubMed
Figure 0

Table 1. The results of the two-way ANOVA for the relative seed mortality (%) of Amaranthus retroflexus and Setaria pumila at different temperatures (40, 50, 60, 80, 100, and 120 C) and exposure times (30, 60, and 90 min) of the seeds

Figure 1

Figure 1. Effect of temperature (40, 50, 60, 80, 100, and 120 C) and exposure time (30, 60, and 90 min) on relative seed mortality (RSM) of Amaranthus retroflexus. The same letters indicate means are not significantly different (P < 0.05) when tested with Tukey’s honestly significant difference (HSD) test.

Figure 2

Figure 2. Effect of temperature (40, 50, 60, 80, 100, and 120 C) and exposure time (30, 60, and 90 min) on relative seed mortality (RSM) of Setaria pumila. The same letters indicate means are not significantly different (P < 0.05) when tested with Tukey’s honestly significant difference (HSD) test.

Figure 3

Table 2. Estimated lethal temperatures required for 50% (LT50) and 90% (LT90) of seed mortality and model performance metrics (coefficient of determination [R2] and root mean-square error [RMSE]) for the seeds of the species Amaranthus retroflexus (AMARE) and Setaria pumila (SETPU) at different exposure times