Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-22T14:20:26.807Z Has data issue: false hasContentIssue false

Effect of environmental, seed burial depth, and straw mulch on germination and seedling emergence in Cichorium glandulosum

Published online by Cambridge University Press:  15 January 2024

Rouhollah Amini*
Affiliation:
Professor in Weed Science, Department of Plant Ecophysiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
Alireza Hasanfard
Affiliation:
Research Scholar, Department of Agrotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
Nasrin Ahmadian
Affiliation:
Graduate Student, Department of Plant Ecophysiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
Farzaneh Zarei Yuzband
Affiliation:
Graduate Student, Department of Plant Ecophysiology, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
*
Corresponding author: Rouhollah Amini; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Cichorium glandulosum Boiss. et Huet is a species that has recently spread widely in the autumn crops of northwestern Iran. A study was conducted to evaluate the effect of environmental factors on the germination, emergence, and management of two populations of C. glandulosum. The effects of temperature, photoperiod, NaCl concentration, osmotic potential, seed burial depth, and straw mulch on seed germination and seedling emergence were evaluated for two populations of C. glandulosum from Tabriz and Marand, Iran. The highest germination percentage was observed in the Tabriz (93%) and Marand populations (94%) at 20/10 C (day/night). In both populations, germination was 82% to 93% across a wide range of light/dark periods (8 to 24 h of light). However, germination was significantly reduced (∼70%) under continuous darkness. The osmotic potential required to inhibit 50% of germination was 0.68 MPa for the Tabriz population and 0.62 MPa for the Marand population. The concentration of NaCl required to inhibit 50% of germination was 4.76 dS m−1 for the Tabriz population and 3.81 dS m−1 for the Marand population. The seed burial depths that caused a 50% decrease in emergence for the Tabriz and Marand populations were 1.86 cm and 2.22 cm, respectively. In the Tabriz and Marand populations, the application of 6000 kg ha−1 of straw mulch resulted in a decrease in C. glandulosum emergence to 3% and 10%, respectively. This study’s results inform the conditions required for C. glandulosum germination and establish a theoretical and practical foundation for predicting, preventing, and managing this species using scientific principles.

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

Introduction

Cichorium glandulosum Boiss. et Huet, a member of the Asteraceae family, is a biennial or perennial plant commonly used in traditional Uighur medicine. The primary distribution of C. glandulosum is in Europe, western Asia, and Australia (Ding et al. Reference Ding, Liu, Hassan, Wang, Yan and Shang2014). Observations indicate a significant increase in the frequency of this plant species in the autumn crops of northwestern Iran, such as wheat (Triticum aestivum L.) and safflower (Carthamus tinctorius L.). We estimate that a significant portion of the decrease in crop yields in this region in recent years can be attributed to the invasion of this species. Also, anecdotal evidence indicates that this species is adaptable to different cropping seasons, enabling it to be present year-round. Another species in this genus, Cichorium intybus L., is a native European weed that has naturalized in various regions of the world, including Africa, temperate and tropical regions of Asia, Europe, Australia, and North and South America (Imam et al. Reference Imam, Xie, Liu, Wang and Xin2019).

Seed germination is an important event in the life history of a plant. Following seed germination, seedling emergence is the most critical phenological event affecting successful plant establishment, particularly in annual plant species (Forcella et al. Reference Forcella, Arnold, Sanchez and Ghersa2000). Generally, several environmental factors, including temperature, light, water potential, salinity, and burial depth, can significantly influence the germination pattern and seedling growth of many plant species with nondormant seeds (Amini et al. Reference Amini, Ebrahimi and Dabbagh Mohammadi Nasab2021; Baskin and Baskin Reference Baskin and Baskin1998; Nosratti et al. Reference Nosratti, Soltanabadi, Honarmand and Chauhan2017).

Temperature can influence seed germination by regulating enzyme activities and promoting or inhibiting the synthesis of hormones involved in seed germination (Baskin and Baskin Reference Baskin and Baskin1998; Xu et al. Reference Xu, Su, Zhang, Sun, Wang, Xue, Zhai, Zou and Wu2017). The effect of light on weed germination can vary depending on the weed species. Some weed species are classified as light-dependent germinators, while others are considered non–light dependent germinators. Light-dependent germinators require exposure to light in order to initiate the germination process (Chauhan and Johnson Reference Chauhan and Johnson2009). Water deficiency can reduce the final germination percentage, germination rate, and seedling growth through its adverse effects on the rate of seed imbibition. This has been well documented in previous studies (Abdellaoui et al. Reference Abdellaoui, Boughalleb, Zayoud, Neffati and Bakhshandeh2019; Bewley et al. Reference Bewley, Bradford, Hilhorst and Nonogaki2013). For example, osmotic stress had a negative impact on germination in African turnipweed (Sisymbrium thellungii O.E. Schulz), with an average of 54% of seeds able to germinate at −0.1 MPa (Mahajan et al. Reference Mahajan, Matloob, Walsh and Chauhan2018). The soil and/or water salinity is a severe problem for many agricultural lands worldwide. Previous research has shown that seed germination may be influenced by the negative impacts of salt stress, both osmotically through reduced water uptake and ion toxicity caused by the accumulation of salt ions (Na+ and Cl). These factors can affect metabolic cell activities during seed germination (Parmoon et al. Reference Parmoon, Moosavi and Siadat2018). According to Amini et al. (Reference Amini, Gholami and Ghanepour2017), germination was completely inhibited in two populations of Caucalis platycarpos L. at an NaCl concentration of 14 dS m−1. Therefore, investigating the effect of salt stress on C. glandulosum seed germination could help determine the optimal environment for this plant.

The successful establishment of a plant depends on the depth at which the seeds germinate. In many plant species, seedling emergence declined with increasing burial depth. This could be attributed to small seed reserves or lower seed hydration at greater depths (Dinelli et al. Reference Dinelli, Marotti, Catizone, Bosi, Tanveer, Abbas and Pavlovic2013). However, some plant species such as tobacco (Nicotiana glauca Graham) (Florentine et al. Reference Florentine, Weller, Graz Patrick, Westbrooke, Florentine, Javaid, Fernando, Chauhan and Dowling2016) and cantaloupe (Cucumis melo L. ‘Agrestis’) Naud (Xu et al. Reference Xu, Su, Zhang, Sun, Wang, Xue, Zhai, Zou and Wu2017) exhibited maximum seedling emergence when the seeds were placed on the soil surface because they required light for germination (Nosratti et al. Reference Nosratti, Soltanabadi, Honarmand and Chauhan2017).

Mulch can have a significant impact on suppressing weeds in various ways. Mulch creates a physical barrier on the soil surface, blocking sunlight from reaching weed seeds (Chauhan et al. Reference Chauhan, Manalil, Florentine and Jha2018). This lack of sunlight inhibits weed germination and reduces the frequency of weed emergence. Some types of mulch, such as organic mulches like straw, wood chips, or shredded leaves, can physically smother emerging weeds (Amini et al. Reference Amini, Gholami and Ghanepour2017). These mulches prevent weed growth by covering the soil surface and blocking light from reaching the weeds. Mulch acts as an insulating layer, regulating soil temperature. This can hinder weed growth, because certain weed species have specific temperature requirements for germination and growth. Certain types of mulch, such as certain organic mulches, release natural chemicals that can inhibit weed growth. These compounds, known as allelochemicals, can inhibit weed seed germination or impede weed growth (Weston et al. Reference Weston, Alsaadawi and Baerson2013). It is important to note that the effectiveness of mulch in suppressing weeds can vary depending on factors such as the type of mulch used, the thickness of the mulch layer, and the specific weed species present.

Weed seeds that mature in different environmental conditions may have varying germination requirements. A better understanding of seed germination patterns and seedling emergence of C. glandulosum could contribute to the development of more effective control measures. This knowledge would enable us to predict the potential invasion of this species into new regions. To contribute to this goal, the study aimed to examine the effects of various factors on the germination and emergence of C. glandulosum. These factors included alternating temperature and photoperiod, water stress, salinity, seed burial depth, and the application of straw mulch.

Materials and Methods

Plant Material

Experiments were conducted at the Seed Technology Laboratory of the University of Tabriz, which is located in Tabriz, Iran. Fruits of C. glandulosum were collected in September 2021 from a naturally occurring population in the dryland fields of East Azerbaijan, Iran. Specifically, they were collected from Tabriz (38.488°N, 46.068°E; altitude: 1,390 m) and Marand (38.416°N, 45.766° E; altitude: 1387 m). Long-term precipitation and temperature data for Tabriz and Marand are shown in Figure 1. Fruits were collected from 90 to 100 plants per population (Chauhan et al. Reference Chauhan, Manalil, Florentine and Jha2018).

Figure 1. Long-term precipitation and temperature data for Tabriz and Marand, Iran.

The harvested fruits of C. glandulosum were air-dried for several weeks at room temperature (20 to 22 C) to facilitate the extraction of seeds. Cleaning was done by hand-sorting, which involves meticulously removing debris and rubbish. The seeds of C. glandulosum were divided into two groups. The first group had no germination and was characterized by seeds that were partially green to yellow in color and smaller in size. They were considered immature seeds and were excluded. The second group consisted of larger, brown seeds with a germination percentage of greater than 90%. The 1,000-seed weight was 2.26 g for Tabriz and 2.7 g for Marand. This group consisted of mature seeds that had been dried for several days at room temperature. They were then stored in paper bags under the same conditions until they were used for the experiments (October 2021).

Procedures Common to All Experiments and General Protocol for Germination Tests

In all experiments, 25 mature seeds were randomly selected. They were then surface-sterilized in a 0.5% sodium hypochlorite solution for 10 min and thoroughly rinsed with distilled water (Amini and Namdari Reference Amini and Namdari2013). The seeds were placed equidistantly in covered petri dishes (9-cm diameter) containing sterilized filter paper. The filter paper was moistened with either distilled water or the appropriate experimental solutions, which were adjusted for osmotic potential or salinity. The treatment solutions were drained from the germination media and replaced with 5 ml of fresh solution every 2 d for 18 d to prevent the influence of seed leachates.

Germination (the protrusion of the radicle to 1 mm) was recorded every day. At the end of the 18-d period, the final germination percentage was recorded. The final germination percentage was calculated by dividing the number of germinated seeds by the total number of seeds and multiplying the result by 100.

Temperature and Light

The effect of temperature on the germination of C. glandulosum seeds was assessed by placing the seeds in a growth chamber with varying day/night temperature cycles (5/2, 10/5, 15/5, 20/10, 25/15, and 30/20 C) for a 12-h photoperiod. These conditions correspond to the average air temperatures in East Azerbaijan during autumn and early winter. The influence of different light/dark regimes—24/0, 12/12, 10/14, 8/16, and 0/24 h at 20/10 C—on the seed germination of C. glandulosum was evaluated daily for 18 d after treatment. Light intensity of 156 μmol m−2s−1 was provided by fluorescent lamps in a growth chamber. To test germination in the dark, the petri dishes were wrapped in a double layer of aluminum foil (Baskin and Baskin Reference Baskin and Baskin1998).

Osmotic Potential and Salt Stress

The C. glandulosum seeds were incubated at day/night temperatures of 20/10 C and a light/dark regime of 10/14 h. Osmotic potentials—0.0, −0.2, −0.4, −0.6, −0.8, −1.0, and −1.2 MPa—were obtained in solution by dissolving specific amounts of polyethylene glycol 8000 (Michel Reference Michel1983) in deionized water. NaCl solutions with salinity levels of 0, 1, 2, 3, 4, 5, 6, 8, 10, and 12 dS m−1 were prepared to induce 10 levels of salinity stress (Poljakoff-Mayber et al. Reference Poljakoff-Mayber, Somers, Werker and Gallagher1994). A salinity of 0 dS m−1 represented the control.

Burial Depth

To investigate the impact of burial depth on the emergence of C. glandulosum seedlings, we planted seeds at various depths in plastic pots (8-cm diameter, 10-cm height). The depths were 0 (retained on the soil surface), 0.5, 1.0, 1.5, 2.0, 3.0, 4.0, and 5.0 cm. Moist soil was placed over the sown seeds at the appropriate depth and compacted. Three pots (replications) were used for each burial depth, with 25 seeds per pot. The soil used for this experiment was a loam composed of 41% sand, 39% silt, and 20% clay. It had 0.51% organic matter and a pH of 6.8. Pots were placed in a growth chamber set at day/night temperatures of 20/10 C and a photoperiod of 10/14 h of light/darkness. Fluorescent lamps were used to produce a light intensity of 156 μmol m−2s−1. Pots were watered to their field capacity weight every 3 d. The emerged seedlings were counted daily for 18 d after planting. At the end of the experiment, seeds that were buried at a depth of 5 cm in plastic pots were retrieved to assess the outcome of nongerminated seeds.

Straw Mulch

The wheat straw mulch was applied to the soil surface in each pot (8-cm diameter, 10-cm height). The seeds were planted at a soil depth of 0.5 cm, because the highest percentage of emergence was observed at this depth (according to the burial depth study). Straw mulch weighing 2000, 4000, and 6000 kg ha−1 (equivalent to 2, 4, and 6 t ha−1) was applied over the sown seeds to the specified depth and compacted. Three pots (replications) were used for each amount of straw mulch, with 50 seeds per pot. The soil used for this experiment was a loam composed of 41% sand, 39% silt, and 20% clay, with 0.51% and a pH of 6.8. Pots were placed in a growth chamber set at day/night temperatures of 20/10 C and a photoperiod of 10/14 h of light/darkness. Fluorescent lamps were used to produce a light intensity of 156 μmol m 2s−1. Pots were watered to their field capacity every 3 d.

Experimental Design and Statistical Analysis

All experiments were conducted twice using a completely randomized design with three replications per treatment. The second run started within a month after the first run ended. As no significant differences were observed between the runs and treatments, the data were pooled over the experimental runs. Therefore, each treatment was implemented with 12 replications (2 populations × 3 replications × 2 runs). SAS v. 9.0.3 (SAS Institute, Cary, NC, USA) was used for the ANOVA. The data used in the ANOVA analysis met the assumptions of normality and homogeneity of variance and did not require any transformations. Nonlinear regression analysis was performed using GraphPad Prism v. 8.00 (GraphPad, CA, USA) to assess the influence of NaCl concentrations, osmotic potential, burial depth, and amounts of straw mulch on seed germination and emergence. The goodness of fit was evaluated using R2 and the root-mean-square error (RMSE). A four-parameter sigmoid model (Equation 1) was used to analyze the germination response to osmotic potentials (MPa) and NaCl (dS m−2) concentrations.

([1]) $$G\left( \% \right) = c + {{d - c} \over {1 + {e^{b(\log x - {\rm{log}}e)}}}}$$

where G represents the total germination (%) at concentration X (osmotic potential or NaCl). The variables d and c represent the upper and lower limits for the variable G, respectively. The variable e represents the concentration of osmotic potential or NaCl that is replaceable with any X 50 value. X 50 represents the concentration required (osmotic potential or NaCl) to halve the response between the upper and lower limits, while b refers to the slope (reduction rate).

The sigmoidal model was fit to the seedling emergence data obtained from different days for each seed burial depth (cm) and various amounts of mulch (kg ha−1) (Equation 2).

([2]) $$E\left( \% \right) = c + {{d - c} \over {1 + {e^{b(\log x - {\rm{log}}e)}}}}$$

where E represents the final seedling emergence (%) at time X. The variables d and c represent the upper and lower limits for the variable E, respectively. The variable e represents the time (day) and can be replaced with the T 50 value. T 50 represents the time (in days) required for 50% seedling emergence, while b refers to the slope (reduction rate).

Results and Discussion

Temperature Regime

Temperature regimes effected germination percentage of C. glandulosum were effective (Figure 2). The highest germination percentages for the Tabriz (93%) and Marand (94%) populations were observed at day/night temperatures of 20/10 C (Figure 2). Among the temperature regimes, the germination percentages of seeds at day/night temperatures of 5/2, 10/5, and 30/20 C were the lowest for both populations.

Figure 2. Effect of altering day/night temperatures on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). Columns with the same letters indicate that there are no significant differences in the mean values by Fisher’s protected LSD test (P ≤ 0.05).

Although the seed germination percentage differed, both C. glandulosum populations germinated at all tested temperature regimes, indicating the species’ ability to germinate and emerge under field conditions in different regions of Iran, especially in the northwest, throughout the spring, summer, and autumn seasons. In both the Tabriz and Marand populations, the highest germination occurred at 20/10 C (with a mean air temperature of 15 C), which is similar to the conditions in mid-autumn (November) and mid-spring (May) (Figures 1 and 2). Therefore, it is clear that the high density of this species during autumn and spring is attributed to its ability to effectively respond to a wide range of temperatures in these two regions. Relatively high optimal temperatures for maximum germination of this species indicate that conditions for increased germination and growth are likely to be provided due to the extreme climate change in Iran and the rising temperatures during cold seasons (Hasanfard et al. Reference Hasanfard, Rastgoo, Darbandi, Nezami and Chauhan2022). Eslami (Reference Eslami2011) reported that the highest germination percentage for populations of lambsquarters (Chenopodium album L.) from Iran occurred at 25/15 C, while for populations from Denmark, it occurred at 20/10 C.

Photoperiod

Light/dark regimes affected the germination of C. glandulosum populations (Figure 3). The lowest germination percentage was observed in Tabriz (15%) and Marand (21%) populations in continuous darkness (light/dark, 0/24 h) (Figure 3). Germination in alternating light/dark regimes was 82% to 90% in the Tabriz population and 85% to 93% in the Marand population (Figure 3).

Figure 3. Effect of photoperiods on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). Columns with the same letters indicate that there are no significant differences in the mean values by Fisher’s protected LSD test (P ≤ 0.05).

In the absence of light, the germination percentages in the Tabriz and Marand populations were 21% and 15%, respectively (Figure 3), while the seeds of both C. glandulosum populations had a similar germination percentage under various light/dark regimes. The more than 4-fold reduction in germination of the two C. glandulosum populations under continuous dark conditions compared with other light/dark regimes indicates that C. glandulosum seeds require light for optimal germination. The need for light indicates that germination occurs only at or near the soil surface (Amini et al. Reference Amini, Gholami and Ghanepour2017). In our study, most of the seedlings emerged at or near the soil surface. The study by Chauhan et al. (Reference Chauhan, Manalil, Florentine and Jha2018) also showed that Australian fingergrass (Chloris truncata R. Br.) had a higher germination percentage on the soil surface compared with the seeds buried in the soil.

Water Stress

In both studied populations, seed germination was not affected up to an osmotic potential of −0.2 MPa (Figure 4). Meanwhile, with the decrease of osmotic potential to −0.6 and −0.8 MPa, seed germination decreased by 44% and 70% in the Tabriz population and by 49% and 69% in the Marand population, respectively (Figure 4). The osmotic potential required to inhibit 50% of the germination of C. glandulosum in the Tabriz and Marand populations was −0.68 and −0.62 MPa, respectively. The slope of the reduction in germination for the Tabriz population (−3.45) was lower than that of the Marand population (−2.98).

Figure 4. Effect of osmotic potential on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). The arrow indicates the osmotic potential required to inhibit 50% of germination (X 50). G max, maximum germination percentage; G rate, slope of the curve; RMSE, root-mean-square error. Nonlinear regression analysis results $\eqalign { {\rm{Tabriz\ population}}:&& \ {G_{\rm max}} = 92.71,\,{G_{\rm rate}} = - 3.45,\,{X_{50}} = - 0.68,\, \cr && {{\rm{R}}^2} = 0.9963,\,{\rm{RMSE}} = 2.475}.$ $\eqalign {{\rm{Marand\ population}}:&& \ {G_{{\rm{max}}}} = 96.10,\,{G_{{\rm{rate}}}} = - 2.97,\,{X_{50}} = - 0.62,\, \cr && {{\rm{R}}^2} = 0.9985,\,{\rm{RMSE}} = 1.622.}$

The germination percentage of the Tabriz and Marand populations showed a significant decrease starting from the osmotic potentials of −4 MPa and −2 MPa, respectively (Figure 4). The osmotic potential required for 50% inhibition of the maximum germination was −0.68 MPa for the Tabriz population and −0.62 MPa for the Marand population. This indicates that the Tabriz population exhibited relatively higher tolerance to osmotic stress compared with the Marand population. The results of our study showed that tolerance to drought stress was almost similar in both C. glandulosum populations. The likely reason for this is the adaptation of the C. glandulosum to the low-rainfall conditions of their place of origin. While some seeds from both populations germinated at −0.8 MPa, germination was completely inhibited at −1 MPa and −1.2 MPa (Figure 4). Similarly, Chauhan et al. (Reference Chauhan, Manalil, Florentine and Jha2018) showed that the germination of C. truncata is completely inhibited at an osmotic potential of −1 MPa. In a comparison of the germination of two populations of rigid ryegrass (Lolium rigidum Gaudin)—one population resistant to glyphosate (GR) and the other population susceptible to glyphosate (GS)—it was observed that the GS population demonstrated superior germination compared with the GR population at −0.4 MPa (Thompson et al. Reference Thompson, Mahajan and Chauhan2021). This study emphasizes the significance of management strategies that consider the adaptability and extensive potential of these populations, which can survive under drought conditions.

Salt Stress

Increasing the NaCl concentration decreased the germination percentage of C. glandulosum seeds in both the Tabriz and Marand populations (Figure 5). In the Tabriz population, seed germination was ∼ 90% up to a salinity of 2 dS m−1, but it declined when the salinity exceeded 3 dS m−1. In the Marand population, seed germination was 95% under no-salt conditions (0 dS m−1), but it declined when the salinity exceeded 1 dS m−1. In both populations, the germination percentage decreased significantly at salinities of 10 and 12 dS m−1, almost reaching zero. The NaCl concentration required for 50% inhibition of seed germination was 4.76 and 3.81 dS m−1 for the Tabriz and Marand populations, respectively (Figure 5). The slope of germination reduction for the Tabriz population (−0.28) was lower than that of the Marand population (−0.25).

Figure 5. Effect of NaCl concentration on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). The arrow indicates the concentration of NaCl required to inhibit 50% of germination (X 50). G max, maximum germination percentage; G rate, slope of the curve; RMSE, root-mean-square error. Nonlinear regression analysis results: $\eqalign {{\rm{Tabriz\ population:}} && \ {G_{{\rm{max}}}} = 97.59,\,{G_{{\rm{rate}}}} = - 0.28,\,{X_{50}} = 4.76,\, \cr && {{\rm{R}}^2} = 0.9944,\,{\rm{RMSE}} = 2.698.}$ $\eqalign { {\rm{Marand\ population:}}&& \ {G_{{\rm{max}}}} = 98.70,\,{G_{{\rm{rate}}}} = - 0.25,\,{X_{50}} = 3.81,\, \cr && {{\rm{R}}^2} = 0.9946,\,{\rm{RMSE}} = 2.696.}$

Salinity stress decreased the germination percentage in both C. glandulosum populations (Figure 5). However, the germination percentage of the Tabriz population was higher at various NaCl concentrations compared with the Marand population. In addition, the results of the concentration of NaCl required to inhibit 50% of germination showed that the Tabriz population (4.76 dS m−1) is more salt-tolerant than the Marand population (3.81 dS m−1). About 25% of Iranian soils are saline (EC > 4 dS m−1) (Mesgaran et al. Reference Mesgaran, Madani, Hashemi and Azadi2017). Therefore, despite the decrease in the percentage of C. glandulosum germination with increasing NaCl concentration, the relatively high germination ability of both C. glandulosum populations in saline soils (Figure 5) probably enables them to colonize the saline areas of Iran.

Seed Burial Depth

In both populations, seedling emergence was influenced by the depth of burial and the number of days after burial (Figure 6). The results indicated that in both populations, the emergence of seedlings was low with an increase in the depth of seed burial. However, as the days passed after planting, the emergence of seedlings increased. According to our results, in the Tabriz population, the estimated time for 50% of the seedlings to emerge, as determined by the sigmoidal model, was 9.43 d for seeds that were placed on the soil surface (0-cm burial depth). However, it took longer for seeds to emerge from greater depths. The estimated time for 50% of the seedlings to emerge for seeds buried at depths of 0.5, 1, 1.5, 2, 3, and 4 cm were 9.39, 10.37, 9.89, 10.09, 12.04, and 13.70 d, respectively (Table 1). In the Marand population, the estimated time for 50% of the seedlings to emerge was 7.70 d for seeds placed on the soil surface. This parameter for burial depths of 0.5, 1, 1.5, 2, 3, and 4 cm was 9.41, 8.19, 9.27, 10.52, 13.14, and 15.19 d, respectively (Table 1). Based on estimates from the sigmoidal model, no seedlings from the two studied populations emerged at a depth of 5 cm. The burial depths that caused a 50% decrease in emergence for the Tabriz and Marand populations were 1.86 cm and 2.22 cm, respectively (Figure 7).

Table 1. Nonlinear regression analysis results for different seed burial depths in populations of Cichorium glandulosum from Tabriz and Marand. a

a Abbreviations: E max, maximum seedling emergence; E rate, slope; t 50, the time (days) required for 50% seedling emergence; RMSE, root-mean-square error. NE indicates that the seeds did not emerge at a burial depth of 5 cm.

Figure 6. Effect of seed burial depth on seedling emergence of Cichorium glandulosum populations from Tabriz and Marand, Iran, during an 18-d period. The vertical bars represent the standard error (±SE).

Figure 7. Effect of seed burial depth on cumulative seedling emergence of Cichorium glandulosum. The vertical bars represent the standard error (±SE). The arrow indicates the burial depth that caused a 50% decrease in emergence (X 50). E max, maximum emergence; E rate, slope of the curve; RMSE, root-mean-square error. Nonlinear regression analysis results: $\eqalign { {\rm{Tabriz\ population:}}&& \ {E_{{\rm{max}}}} = 90.33,\,{E_{{\rm{rate}}}} = - 1.206,\,{X_{50}} = 1.86,\, \cr && {{\rm{R}}^2} = 0.9823,\,{\rm{RMSE}} = 5.097.}$ $\eqalign { {\rm{Marand\ population:}}\, && \ {E_{{\rm{max}}}} = 95.17,\,{E_{{\rm{rate}}}} = - 0.7456,\,{X_{50}} = 2.22,\, \cr && {{\rm{R}}^2} = 0.9809,\,{\rm{RMSE}} = 5.293.}$

Increasing the depth at which seeds were buried had a negative impact on the emergence of C. glandulosum seedlings in both populations (Figure 6). Decreased germination of C. glandulosum seeds with increasing burial depth is related to reduced exposure to light (Figure 3). In addition, one possible reason for the decrease in C. glandulosum emergence at greater burial depths is the exhaustion of seedling reserves before emergence. Chauhan and Johnson (Reference Chauhan and Johnson2009) reported that large seeds, such as junglerice [Echinochloa colona (L.) Link], can emerge from deep burial. However, tiny seeds, like C. truncata, may suffer from limited energy reserves required for hypocotyl elongation. In both populations studied here, a seed burial depth of 1 cm resulted in the highest percentage of seedling emergence (Figure 7). The emergence of seedlings from seeds buried at a depth of 0 cm (on the soil surface) decreased compared with those buried at a depth of 1 cm. This decrease may be due to reduced water availability caused by limited soil contact (Amini et al. Reference Amini, Gholami and Ghanepour2017).

Straw Mulch

Seedling emergence was affected by the amount of mulch and the number of days after sowing (Figure 8). As the amount of mulch applied increased, the emergence of seedlings was lower in both C. glandulosum populations (Figure 8). However, as the number of days after sowing increased, the emergence of seedlings showed an upward trend. The maximum final emergence of seedlings in the Tabriz and Marand populations was 89% and 92%, respectively, without the application of mulch (Figure 8). The minimum emergence was 3% and 10%, respectively, with the application of 6000 kg ha−1 of mulch. In the Tabriz population, the time needed for 50% seedling emergence was 10.42, 13.57, 12.75, and 12.17 d for mulch amounts of 0, 2000, 4000, and 6000 kg ha−1, respectively (Table 2). Also, in the Marand population, the time needed for 50% seedling emergence was 8.82, 11.68, 10.80, and 10.75 d for mulch amounts of 0, 2000, 4000, and 6000 kg ha−1, respectively (Table 2).

Figure 8. Effect of different amounts of straw mulch on seedling emergence of Cichorium glandulosum populations from Tabriz and Marand, Iran, during an 18-d period. The vertical bars represent the standard error (±SE).

Table 2. Nonlinear regression analysis results for the use of different amounts of mulch in populations of Cichorium glandulosum from Tabriz and Marand.

Abbreviations: E max, maximum seedling emergence; E rate, slope; t 50, the time (days) required for 50% seedling emergence; RMSE, root-mean-square error.

Straw mulch suppresses weeds by blocking sunlight, which is necessary for weed seeds to germinate and grow. It also helps to conserve moisture by reducing evaporation from the soil surface (Hussain and Luqman Reference Hussain, Akhtar, Arif, Riaz and Wang2022). Interestingly, increasing the amount of mulch application led to a decrease in seedling emergence in both C. glandulosum populations (Figure 8). The positive effect of straw mulch application in suppressing weeds has also been reported by other researchers (Amini et al. Reference Amini, Gholami and Ghanepour2017; Anzalone et al. Reference Anzalone, Cirujeda, Aibar, Pardo and Zaragoza2010; Jabran et al. Reference Jabran, Mahajan, Sardana and Chauhan2015). These researchers attributed the positive effects of straw mulch to three factors: limited light penetration, physical barrier, and the allelopathic effects of mulches on seed germination; this was similar to our findings. In general, straw mulch reduces the need for chemical herbicides or manual labor to remove C. glandulosum, potentially resulting in cost savings. Furthermore, straw mulch helps to retain soil moisture, thereby reducing the need for irrigation. The use of straw mulch can be a cost-effective strategy for weed management in agriculture.

Although there were differences in the germination ecology of the Tabriz and Marand C. glandulosum populations, the seed germination of both populations, especially the Tabriz population, showed a positive response to a wide range of temperatures, light, humidity, salinity, and burial depth. Because the environmental conditions in major parts of Iran and the world are suitable for the germination of this species, we predict that without effective management, it will continue to spread in the coming years. Therefore, evaluating the germination ecology of C. glandulosum from different cropping systems around the world will help us understand the germination patterns of this species and effectively manage it to prevent its invasion in pastures and cropping systems. Considering the positive impact of straw mulch in reducing the emergence of C. glandulosum in this study, we recommend integrating this strategy into the management plans for this species.

Acknowledgments

This research received no specific grant from any funding agency, commercial or not-for-profit sectors. The authors have no conflicts of interest to declare.

Footnotes

Associate Editor: William Vencill, University of Georgia

References

Abdellaoui, R, Boughalleb, F, Zayoud, D, Neffati, M, Bakhshandeh, E (2019) Quantification of Retama raetam seed germination response to temperature and water potential using hydrothermal time concept. Environ Exp Bot 157:211216 CrossRefGoogle Scholar
Amini, R, Ebrahimi, A, Dabbagh Mohammadi Nasab, A (2021) Germination and emergence of Astrodaucus orientalis (L.) Drude populations influenced by environmental factors and seed burial depth. Plant Species Biol 36:338347 CrossRefGoogle Scholar
Amini, R, Gholami, F, Ghanepour, S (2017) Effects of environmental factors and burial depth on seed germination and emergence of two populations of Caucalis platycarpos . Weed Res 57:247256 CrossRefGoogle Scholar
Amini, R, Namdari, T (2013) Inhibitory effects of prostrate amaranth (Amaranthus blitoides S.Wats) on common bean cultivars. Allelopathy J 32:6376 Google Scholar
Anzalone, A, Cirujeda, A, Aibar, J, Pardo, G, Zaragoza, C (2010) Effect of biodegradable mulch materials on weed control in processing tomatoes. Weed Technol 24:369377 CrossRefGoogle Scholar
Baskin, CC, Baskin, JM (1998) Seeds: Ecology, Biogeography, and Evolution of Dormancy and Germination. San Diego: Academic Press. 1600 pGoogle Scholar
Bewley, JD, Bradford, K, Hilhorst, H, Nonogaki, H (2013) Seeds: Physiology of Development, Germination and Dormancy. 3rd ed. New York: Springer. 392 pCrossRefGoogle Scholar
Chauhan, BS, Johnson, DE (2009) Seed germination ecology of junglerice (Echinochloa colona): a major weed of rice. Weed Sci 57:235240 CrossRefGoogle Scholar
Chauhan, BS, Manalil, S, Florentine, S, Jha, P (2018) Germination ecology of Chloris truncata and its implication for weed management. PLoS ONE 13(7):e0199949 CrossRefGoogle ScholarPubMed
Dinelli, G, Marotti, I, Catizone, P, Bosi, S, Tanveer, A, Abbas, R, Pavlovic, D (2013) Germination ecology of Ambrosia artemisiifolia L. and Ambrosia trifida L. biotypes suspected of glyphosate resistance. Open Life Sci 8:286296 CrossRefGoogle Scholar
Ding, L, Liu, JL, Hassan, W, Wang, LL, Yan, FR, Shang, J (2014) Lipid modulatory activities of Cichorium glandulosum Boiss et Huet are mediated by multiple components within hepatocytes. Sci Rep 4:4715 CrossRefGoogle ScholarPubMed
Eslami, SV (2011) Comparative germination and emergence ecology of two populations of common lambsquarters (Chenopodium album) from Iran and Denmark. Weed Sci 59:9097 Google Scholar
Florentine, SK, Weller, S, Graz Patrick, F, Westbrooke, M, Florentine, A, Javaid, M, Fernando, N, Chauhan, BS, Dowling, K (2016) Influence of selected environmental factors on seed germination and seedling survival of the arid zone invasive species tobacco bush (Nicotiana glauca R. Graham). Rangeland J 38:417425 CrossRefGoogle Scholar
Forcella, F, Arnold, RLB, Sanchez, R, Ghersa, CM (2000) Modeling seedling emergence. Field Crops Res 67:123139 CrossRefGoogle Scholar
Hasanfard, A, Rastgoo, M, Darbandi, EI, Nezami, A, Chauhan, BS (2022) Freezing stress affects the efficacy of clodinafop-propargyl and 2,4-D plus MCPA on wild oat (Avena ludoviciana Durieu) and turnipweed [Rapistrum rugosum (L.) All.] in wheat (Triticum aestivum L.). PLoS ONE 17(10):e0274945 CrossRefGoogle ScholarPubMed
Hussain, Z, Luqman (2022) Effects of mulching practices on the management of weeds. Pages 135150 in Akhtar, K, Arif, M, Riaz, M, Wang, H, eds. Mulching in Agroecosystems: Plants, Soil Environment . Singapore: Springer Nature Singapore CrossRefGoogle Scholar
Imam, KMSU, Xie, Y, Liu, Y, Wang, F, Xin, F (2019) Cytotoxicity of Cichorium intybus L. metabolites. Oncol Rep 42:21962212 Google ScholarPubMed
Jabran, K, Mahajan, G, Sardana, V, Chauhan, BS (2015) Allelopathy for weed control in agricultural systems. Crop Prot 72:5765 CrossRefGoogle Scholar
Mahajan, G, Matloob, A, Walsh, M, Chauhan, BS (2018) Germination ecology of two Australian populations of African turnipweed (Sisymbrium thellungii). Weed Sci 66:752757 CrossRefGoogle Scholar
Mesgaran, MB, Madani, K, Hashemi, H, Azadi, P (2017) Iran’s land suitability for agriculture. Sci Rep 7:7670 CrossRefGoogle ScholarPubMed
Michel, BE (1983) Evaluation of the water potentials of solutions of polyethylene glycol 8000 both in the absence and presence of other solutes. Plant Physiol 72:6670 CrossRefGoogle ScholarPubMed
Nosratti, I, Soltanabadi, S, Honarmand, SJ, Chauhan, BS (2017) Environmental factors affect seed germination and seedling emergence of invasive Centaurea balsamita . Crop Pasture Sci 68:583589 CrossRefGoogle Scholar
Parmoon, G, Moosavi, SA, Siadat, SA (2018) How salinity stress influences the thermal time requirements of seed germination in Silybum marianum and Calendula officinalis . Acta Physiol Plant 40:175 CrossRefGoogle Scholar
Poljakoff-Mayber, A, Somers, GF, Werker, E, Gallagher, JL (1994) Seeds of Kosteletzkya virginica (Malvaceae): their structure, germination, and salt tolerance. II. Germination and salt tolerance. Am J Bot 81:5459 CrossRefGoogle Scholar
Thompson, M, Mahajan, G, Chauhan, BS (2021) Seed germination ecology of southeastern Australian rigid ryegrass (Lolium rigidum) populations. Weed Sci 69:454460 CrossRefGoogle Scholar
Weston, LA, Alsaadawi, IS, Baerson, SR (2013) Sorghum allelopathy—from ecosystem to molecule. J Chem Ecol 39:142153 CrossRefGoogle ScholarPubMed
Xu, H, Su, W, Zhang, D, Sun, L, Wang, H, Xue, F, Zhai, S, Zou, Z, Wu, R (2017) Influence of environmental factors on Cucumis melo L. var. agrestis Naud. seed germination and seedling emergence. PLoS ONE 12:e0178638 CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Long-term precipitation and temperature data for Tabriz and Marand, Iran.

Figure 1

Figure 2. Effect of altering day/night temperatures on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). Columns with the same letters indicate that there are no significant differences in the mean values by Fisher’s protected LSD test (P ≤ 0.05).

Figure 2

Figure 3. Effect of photoperiods on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). Columns with the same letters indicate that there are no significant differences in the mean values by Fisher’s protected LSD test (P ≤ 0.05).

Figure 3

Figure 4. Effect of osmotic potential on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). The arrow indicates the osmotic potential required to inhibit 50% of germination (X50). Gmax, maximum germination percentage; Grate, slope of the curve; RMSE, root-mean-square error. Nonlinear regression analysis results$\eqalign { {\rm{Tabriz\ population}}:&& \ {G_{\rm max}} = 92.71,\,{G_{\rm rate}} = - 3.45,\,{X_{50}} = - 0.68,\, \cr && {{\rm{R}}^2} = 0.9963,\,{\rm{RMSE}} = 2.475}.$$\eqalign {{\rm{Marand\ population}}:&& \ {G_{{\rm{max}}}} = 96.10,\,{G_{{\rm{rate}}}} = - 2.97,\,{X_{50}} = - 0.62,\, \cr && {{\rm{R}}^2} = 0.9985,\,{\rm{RMSE}} = 1.622.}$

Figure 4

Figure 5. Effect of NaCl concentration on the germination percentage of Cichorium glandulosum populations from Tabriz and Marand, Iran. The vertical bars represent the standard error (±SE). The arrow indicates the concentration of NaCl required to inhibit 50% of germination (X50). Gmax, maximum germination percentage; Grate, slope of the curve; RMSE, root-mean-square error. Nonlinear regression analysis results:$\eqalign {{\rm{Tabriz\ population:}} && \ {G_{{\rm{max}}}} = 97.59,\,{G_{{\rm{rate}}}} = - 0.28,\,{X_{50}} = 4.76,\, \cr && {{\rm{R}}^2} = 0.9944,\,{\rm{RMSE}} = 2.698.}$$\eqalign { {\rm{Marand\ population:}}&& \ {G_{{\rm{max}}}} = 98.70,\,{G_{{\rm{rate}}}} = - 0.25,\,{X_{50}} = 3.81,\, \cr && {{\rm{R}}^2} = 0.9946,\,{\rm{RMSE}} = 2.696.}$

Figure 5

Table 1. Nonlinear regression analysis results for different seed burial depths in populations of Cichorium glandulosum from Tabriz and Marand.a

Figure 6

Figure 6. Effect of seed burial depth on seedling emergence of Cichorium glandulosum populations from Tabriz and Marand, Iran, during an 18-d period. The vertical bars represent the standard error (±SE).

Figure 7

Figure 7. Effect of seed burial depth on cumulative seedling emergence of Cichorium glandulosum. The vertical bars represent the standard error (±SE). The arrow indicates the burial depth that caused a 50% decrease in emergence (X50). Emax, maximum emergence; Erate, slope of the curve; RMSE, root-mean-square error. Nonlinear regression analysis results:$\eqalign { {\rm{Tabriz\ population:}}&& \ {E_{{\rm{max}}}} = 90.33,\,{E_{{\rm{rate}}}} = - 1.206,\,{X_{50}} = 1.86,\, \cr && {{\rm{R}}^2} = 0.9823,\,{\rm{RMSE}} = 5.097.}$$\eqalign { {\rm{Marand\ population:}}\, && \ {E_{{\rm{max}}}} = 95.17,\,{E_{{\rm{rate}}}} = - 0.7456,\,{X_{50}} = 2.22,\, \cr && {{\rm{R}}^2} = 0.9809,\,{\rm{RMSE}} = 5.293.}$

Figure 8

Figure 8. Effect of different amounts of straw mulch on seedling emergence of Cichorium glandulosum populations from Tabriz and Marand, Iran, during an 18-d period. The vertical bars represent the standard error (±SE).

Figure 9

Table 2. Nonlinear regression analysis results for the use of different amounts of mulch in populations of Cichorium glandulosum from Tabriz and Marand.