1. Introduction
Chemical weed control is the primary method applied and preferred by farmers for winter cereals. However, several cultural weed control methods are also applied to these crops and contribute to weed management [
1,
2,
3,
4]. Some cultural methods that can be combined with chemical control in winter cereals within the framework of integrated weed management programs include crop rotation, false seedbed, sowing date, selection of competitive varieties, and sowing density [
5,
6,
7,
8]. Sowing date is a cultural technique that can help control several grass and broadleaf weed species [
9,
10] such as black-grass (
Alopecurus myosuroides Huds.), milk thistle (
Silybum marianum (L.) Gaertn), and wild mustard (
Sinapis arvensis L.). However, the impact of sowing time on weed management varies by region and depends on the weed species present in cereal fields [
7,
10,
11]. In a recent study, Khasraw et al. [
7] observed that late sowing of wheat on 30 December with a seeding rate of 160 kg ha
−1 reduced the weed dry biomass by up to 66.2% compared to early sowing on 20 November with the same seeding rate. Additionally, it is important to note that sowing date can affect the efficacy of certain herbicides against specific weed species [
10], while some researchers have reported variations in herbicide use based on the sowing date [
12]. However, in some cases, a delay in sowing date can reduce plant growth and seed yield in wheat cultivation [
13,
14]. Lindell et al. [
14] found that late sowing (18 and November 30 in the 2019/2020 and 2020/2021 growing seasons, respectively) resulted in a 20.6–57.3% decrease in the seed yield of winter wheat compared to that in the optimal sowing date (17 and October 9 in 2019/2020 and 2020/2021, respectively).
Regarding the competitive ability of wheat, various studies have shown that different varieties exhibit differences in their competitive ability. In an experiment conducted at two sites in Canada, Gerard et al. [
15] found that the yield losses due to wild oat (
Avena fatua L.) competition differed in eight wheat varieties (e.g., Colombus, Laura, and Oslo). Some characteristics associated with the greater competitive ability of wheat varieties are as follows: higher plant height [
3,
16,
17], greater tillering ability [
16,
18], greater early plant growth [
19], higher rate of stem growth [
20], higher leaf area [
18], larger leaf width [
21], greater root system [
18], and winter hardiness [
16]. In this context, in a field experiment conducted in Turkey, Mennan and Zandstra [
22] observed that four wheat varieties (Bezostaja, Kate A-l, Momtchill, and Panda) presented different competitive abilities against catchweed bedstraw (
Galium aparine L.), as the Bezostaja variety reduced the growth and seed production of this weed to a greater extent than the other varieties. Thus, the inclusion of varieties with superior competitive abilities in integrated weed management systems can contribute to effective weed management. However, it is important to note that Fang et al. [
18] observed that the winter wheat landrace PL40 exhibited greater competitive ability than the CW135 variety, but the grain yield in the moderate water stress treatment was 28.5% and 24.3% lower than that in the well-watered treatment in PL40 and CW135, respectively, revealing that the yield reduction was lower in the less competitive genotype under moderate water stress conditions.
Additionally, it is important to point out that due to climate change, it is critical to adapt farming practices (e.g., sowing time and variety selection) based on climatic data to mitigate the effects of climate change on crop productivity [
23,
24]. The adaptation of cultivation practices (e.g., sowing time, varieties, and time of herbicide application) is also important for optimizing weed management because climate change (e.g., high temperatures and drought) affects weed interference with crops as well as herbicide efficacy [
25,
26,
27,
28].
Among the various weeds, false cleavers (
Galium spurium L.) and catchweed bedstraw (
G. aparine) are significant broadleaf species in wheat cultivation. Specifically, false cleavers present intense competition for resources throughout the crop growth cycle, resulting in a decrease in seed yield [
22,
29]. Additionally, the evolution of resistance to various herbicides that inhibit the ALS (acetolactate synthase) enzyme in both
Galium species (
G. spurium and
G. aparine) has made its control even more difficult in various areas where wheat is grown [
29,
30,
31]. For the above-mentioned reasons, the implementation of integrated management programs can contribute to controlling false cleavers in winter cereal crops as well as delaying the evolution of the herbicide resistance problem. In this context, the adoption of integrated management systems by farmers can contribute to the reduction of the chemical pesticides (e.g., herbicides) use by 50% by 2030 [
32,
33], a target set in the farm-to-fork strategy adopted by the European Commission in the framework of the European Green Deal to achieve an environmentally friendly food system in the European Union [
34].
Thus, the main objective of this two-year experiment was to evaluate the effect of a combination of cultural techniques and chemical control on the infestation of false cleavers populations with resistance to ALS herbicides in durum wheat. Specifically, the effects of durum wheat varieties, sowing time, and herbicides on the density and biomass of this weed species were studied, and the impact of these factors on the quality and yield of the durum wheat crop was also evaluated.
2. Materials and Methods
2.1. Experimental Design and Main Cultural Practices
Field experiments were conducted in the Oropos region of eastern Attica (38°18′N, 23°45′E), Greece, during the 2020–2021 and 2021–2022 growing seasons. In both growing seasons, the experiments were arranged in a split-split plot design with three replicates. The sowing date was selected as the main plot factor, durum wheat varieties as the subplot factor, and herbicides as the sub-subplot factor. The main physicochemical properties of the soil in the experimental field were as follows: clay loam texture (clay: 38%, silt: 28%, and sand: 34%), organic matter (4.9%), pH (7.6), and electrical conductivity (1.41 mS cm
−1). The meteorological data from the weather station located on the farm are shown in
Figure 1.
The mail plot factor (sowing date) included two levels: early and late sowing dates. In the first growing season, the early sowing was conducted on 16 November 2020, and the late sowing on 24 December 2020, while in the second growing season, the early sowing took place on 8 November 2021, and the late sowing on 2 December 2021. In both growing seasons, the durum wheat seed rate was set at 240 kg ha
−1. On the same dates, a false cleavers population resistant to ALS-inhibiting herbicides, such as mesosulfuron-methyl/iodosulfuron-methyl-sodium, tribenuron-methyl (chemical family: sulfonylureas), and florasulam (chemical family: triazolopyrimidines) [
29] was also sown. A mixture (7 g) of seeds and plant residues of false cleavers containing approximately 2000 seeds was evenly dispersed in each plot and incorporated into the soil of each plot. False cleavers seeds were collected from a durum wheat field in Agios Georgios (Domokos region, Central Greece) in June 2020 and 2021. Regarding fertilization, an inorganic fertilizer (16-20-0; N-P
2O
5-K
2O, 300 kg ha
−1) was applied as basal fertilization prior to crop sowing and then incorporated into the soil, while the inorganic fertilizer calcium ammonium nitrate (26-0-0; N-P
2O
5-K
2O, 300 kg ha
−1) was applied as top-dressing at the tillering stage of durum wheat.
The subplot factor (varieties) included two levels: durum wheat varieties Levante and Simeto. Levante is a mid-early variety with white awns that is widely cultivated in Greece. This variety has a medium height, good tillering, high protein content, and good resistance to low temperatures, lodging, and some foliar diseases. Simeto is also a mid-early variety with black awns that is widely grown in Greece due to its good adaptability. Moreover, the latter variety has moderate tillering capacity and height, satisfactory lodging resistance and cold tolerance, excellent heat and drought tolerances, and satisfactory resistance to foliar diseases.
Regarding the sub-subplot factor, in the first growing season, the herbicide treatments were as follows: herbicide 1: metsulfuron-methyl/bensulfuron-methyl (Phyton, UPL Europe Ltd., Warrington, United Kingdom), herbicide 2: aminopyralid/florasulam (Lancelot 450 WG, Corteva Agriscience Hellas, Athens, Greece), herbicide 3: pyroxsulam (Senior 75 WG, Corteva Agriscience Hellas, Athens, Greece) and florasulam/2,4-D as 2-ethylhexyl ester (Titanas SE, Adama Hellas, Marousi, Greece), tank-mix, herbicide 4: 2,4-D as 2-ethylhexyl ester/bromoxynil as actonate/heptanoate ester (Brominal Nuevo, Bayer Hellas, Marousi, Greece), non-treated control, and hand-weeded control. Specifically, 72 plots (6 m
2, 2 m × 3 m) were established in the experimental area. In the second growing season, an additional herbicide was applied to the experimental field. Thus, the experimental treatments were as follows: herbicides 1 to 4, herbicide 5: halauxifen-methyl/florasulam (Quelex, Corteva Agriscience Hellas), non-treated control, and hand-weeded control. Specifically, 84 plots (6 m
2, 2 m × 3 m) were established for the second experiment. In both growing seasons, two hand weedings were performed in the hand-weeded control treatment: the first on the day of herbicide application and the second about two weeks later. The herbicides were applied using a precision sprayer [flat fan nozzles (flow rate: 0.73 L/min, 110°), spray volume 300 L per hectare, pressure: 2.5 atm] to ensure uniform spraying and complete coverage. Herbicide application was performed on 10 March 2021 and 28 March 2022, when the crop was at the end of tillering and the beginning of stem elongation (BBCH 30–31). In both experiments, herbicides were applied at their maximum recommended doses (
Table 1), while an adjuvant (alkylphenol alkoxylate 99%
w/
v, Kaytar SL, Elanco Hellas S.A., Athens, Greece) was added to herbicides 1, 2, 3, and 5 at a dose of 200 mL per 100 L of the spray solution.
2.2. Sampling and Measurements
The dry weight and the density of false cleavers and other weed species were measured at random central points within the sub-subplots using a 60 cm × 60 cm square wooden frame, and after drying in an oven at 60 °C for four days. The measurements of these parameters took place at 37 DAA (days after herbicide application) and 38 DAA in 2020–2021 and 2021–2022, respectively. The herbicide efficacy (%) was calculated based on the weed dry weight (WDW) using the following equation:
To determine the dry weight of the aboveground parts of the durum wheat crop, destructive sampling was performed. Plants were cut from an area of 0.36 m2 at 37 Days After herbicide Application (DAA) and 38 DAA in 2020–2021 and 2021–2022, respectively. The samples were dried in an oven at 60 °C for four days. Plant height measurements were conducted on the same dates as the dry weight measurements, while spike length was measured before crop harvest by randomly selecting five plants from each plot. For the determination of photosynthesis rate (μmol CO2 m−2 s−1), transpiration rate (mmol H2O m−2 s−1), and stomatal conductance (mol m−2 s−1), a portable device, the LCi Leaf Chamber Analysis System (ADC, Bioscientific, Hoddesdon, UK), was used on cloudless days at 38–39 and 39–40 DAA in 2020–2021 and 2021–2022, respectively. These physiological parameters were recorded for the flag leaves of durum wheat plants.
The durum wheat crop was harvested by hand in mid-June from an area of 1 m2. The 1000-seed weight was calculated by measuring three samples of 100 seeds, while protein content and wet and dry gluten content were determined at the Laboratory of Agronomy and Applied Crop Physiology of the University of Thessaly. The above-mentioned quality traits were measured using an NIR analyzer (model DA 7250 NIR analyzer, Perten Instruments, Hägersten, Sweden).
2.3. Statistical Analysis
To evaluate the effects of the three factors as well as their interactions, the data of all measured crop and weed parameters recorded in the two field experiments were submitted to analysis of variance (Three-Way ANOVA) according to a split-split plot design using the statistical package IBM SPSS version 24 (IBM Corp., Armonk, NY, USA). Duncan’s post hoc test at p < 0.05 was used for the comparison of means (herbicides and interaction effects between the factors). The Shapiro-Wilk test was used to check the data normality for all measured parameters. Finally, a Pearson correlation analysis (two-tailed test, n = 72 and n = 84 for the first and second growing seasons, respectively) was conducted to determine the relationships between the main parameters determined in the two experiments.
5. Conclusions
The field experiment conducted over two growing seasons provided valuable insights into the integrated management of false cleavers in durum wheat cultivation by combining cultivation practices with herbicide applications. Our results showed that the density of false cleavers was not affected by either variety or sowing time, while its dry weight was affected by sowing time, with higher values recorded for early sowing. Additionally, the total weed density and weight values were higher in early sowing than in late sowing, clearly revealing that sowing time can affect the density and growth of specific weed species.
Among the herbicides applied, 2,4-D/bromoxynil and halauxifen-methyl/florasulam effectively controlled false cleavers, with better results in late sowing than in early sowing. Additionally, competition from false cleavers and other weeds negatively affected the physiological parameters of the crop; however, it did not affect the quality characteristics of durum wheat seeds. No interaction was found between the three factors for durum wheat dry weight. The Simeto variety had the highest dry weight, while late sowing resulted in a lower dry weight compared with early sowing. Simeto had shorter spikes, with no differences between the sowing time treatments for this variety, while the Levante variety had the lowest 1000-seed weight, with early sowing resulting in higher values. Weed competition also affected this parameter, with the lowest values recorded in the non-treated control. Seed yield was influenced by all three of these factors. The highest yield values were recorded in the hand-weeded control, 2,4-D/bromoxynil, and halauxifen-methyl/florasulam (5332.6–5450 kg ha−1 and 5848.2–6312.1 kg ha−1 in 2020–2021 and 2021/2022, respectively), with no statistically significant differences among them.
Overall, the optimization of cultivation practices in the context of integrated weed management programs can lead to improved management of false cleavers and other weed species in durum wheat cultivation. Considering that climate change affects agroecosystems, more experiments need to be conducted in various locations with diverse climate conditions to collect more data that will help develop effective integrated management systems for various weed species.