Introduction
Sugarcane (Saccharum officinarum L.) is a crop of significant global importance (Galon et al. Reference Galon, Nikpay, Ma, Ferreira, Munsif, Ziaee, Sharafizadeh and Concenco2022; Queiroz et al. Reference Queiroz, Luís, Fernandes, Ferdinando and Lima2022), serving as a raw material for sugar production and bioethanol and offering great potential for bioenergy generation. Sugarcane cultivation covers approximately 9 million ha in Brazil, where the largest cultivation area is in the southcentral region (85%), with emphasis on the state of São Paulo (4.4 million ha) (CONAB 2023). In Brazil, the majority of sugarcane production takes place through a conservation system known as green cane (Araldi de Castro et al. Reference Araldi de Castro, Castro, Menandro, Kuva and Carvalho2023). This system, characterized by the absence of preharvest burning, results in substantial amounts of straw on the soil surface, ranging from 10 to 20 Mg ha−1 (Silva et al. Reference Silva, Silva, Aiello, Toledo, Ghirardello and Victoria Filho2019; Tropaldi et al. Reference Tropaldi, Carbonari, Brito, Matos, Moraes and Velini2021).
Sugarcane yields can be affected by various factors, including soil conditions, cultivated variety planted, pest and disease incidence, weed competition, and plant phytotoxicity due to herbicide application (Reis et al. Reference Reis, Victória Filho, Andrade and Barroso2019; Victoria-Filho and Christoffoleti Reference Victoria-Filho and Christoffoleti2004). Weed interference plays a critical role in this cropping system (Martins et al. Reference Martins, Mata, Martins, Bianco, Alves, Erasmo and Ferreira2022; Mossin et al. Reference Mossin, Hijano, Nepomuceno, Carvalho and Alves2019). Failure to control weeds can lead to significant reduction in sugarcane yield of up to 81% (Kuva et al. Reference Kuva, Gravena, Pitelli, Christoffoleti and Alves2001). This reduction can be attributed to direct factors such as competition for nutrients, light, water, and space, as well as allelopathy and parasitism, and indirect factors such as creeping plants that overload harvesters (Galon et al. Reference Galon, Nikpay, Ma, Ferreira, Munsif, Ziaee, Sharafizadeh and Concenco2022; Negrisoli et al. Reference Negrisoli, Negrisoli, Cesco, Bianchi, Munhoz Gomes, Carbonari and Velini2023; Schedenffeldt et al. Reference Schedenffeldt, Santos, Hirata, Soares and Monquero2022). Given the multiple crop cycles of sugarcane in Brazilian fields, typically five or six harvest seasons, inadequate weed control in the current cycle may lead to an increase in weed seed presence in the subsequent cycle (Araldi de Castro et al. Reference Araldi de Castro, Castro, Menandro, Kuva and Carvalho2023). This can result in less effective weed management in the field, as well as lower industrial quality of the raw material, impacting harvesting and transportation operations (Martins et al. Reference Martins, Mata, Martins, Bianco, Alves, Erasmo and Ferreira2022).
Chemical weed control using pre- and postemergence herbicides is the main method due to its cost-effectiveness and viability, especially in large sugarcane fields that require rapid and efficient weed management (Galon et al. Reference Galon, Nikpay, Ma, Ferreira, Munsif, Ziaee, Sharafizadeh and Concenco2022; Martins et al. Reference Martins, Mata, Martins, Bianco, Alves, Erasmo and Ferreira2022; Reis et al. Reference Reis, Victória Filho, Andrade and Barroso2019). Additionally, the use of herbicide in tank mixtures is a valuable strategy for reducing weed control costs, as it broadens the spectrum of control and minimizes the number of applications. In the southcentral region from Brazil, highlighting São Paulo state, the sugarcane harvesting seasons are divided into: beginning season (March to May), middle season (June to August), and late season (September to November). It is important to have adequate herbicide options in tank mixtures for each season on ratoon cane (Reis et al. Reference Reis, Victória Filho, Andrade and Barroso2019).
Digitaria spp. are among the grass weeds found in Brazilian sugarcane fields (Schedenffeldt et al. Reference Schedenffeldt, Santos, Hirata, Soares and Monquero2022; Toledo et al. Reference Toledo, Victória Filho, Negrisoli and Correa2017). Digitaria spp. are considered to be among the most aggressive weeds due to their highly competitive potential and dispersal capacity. These species are commonly encountered in sugarcane fields and can cause significant damage when present in high densities (Schedenffeldt et al. Reference Schedenffeldt, Santos, Hirata, Soares and Monquero2022). The prevalent species in Brazilian sugarcane systems are Jamaican crabgrass (Digitaria horizontalis Willd.), naked crabgrass (Digitaria nuda Schumach.), large crabgrass [Digitaria sanguinalis (L.) Scop.], and southern crabgrass [Digitaria ciliaris (Retz.) Koeler] (Tropaldi et al. Reference Tropaldi, Carbonari, Araldi, Corniani, Girotto and Silva2015). The introduction of green cane has altered weed dynamics in ratoon cane (Araldi de Castro et al. Reference Araldi de Castro, Castro, Menandro, Kuva and Carvalho2023). Sugarcane straw has been important in suppressing the emergence of many monocotyledons, such as Digitaria spp. (Tofoli et al. Reference Tofoli, Velini, Negrisoli, Cavenaghi and Martins2009). Sugarcane straw can influence weed emergence through three distinct processes: physical, biological, and chemical (straw allelopathy), with or without interactions occurring between them (Silva Junior et al. Reference Silva Junior, Martins and Martins2016). The higher amount of sugarcane straw cover (near 15 Mg ha−1) physically impacts the emergence of small-seeded species on the soil surface, affecting seedling development and survival and rendering seedlings more susceptible to mechanical damage (Correia and Durigan Reference Correia and Durigan2004; Silva Junior et al. Reference Silva Junior, Martins and Martins2016). Excellent control of D. nuda and D. horizontalis through sugarcane straw left on the soil surface has been reported, with the adequate straw amount to guarantee the reduction or absence of grass weeds in ratoon cane ranging from 6 Mg ha−1 to 12 Mg ha−1 (Correia and Durigan Reference Correia and Durigan2004; Hoshino et al. Reference Hoshino, Hata, de Aquino, Oliveira Menezes, Ventura and Conti Medina2017; Martins et al. Reference Martins, Velini, Martins and Souza1999; Silva Junior et al. Reference Silva Junior, Martins and Martins2016; Yamauti et al. Reference Yamauti, Barroso, Giancotti, Squassoni, Revolti and Alves2011). These data are crucial for determining the appropriate amount of straw to leave on the soil postharvest for weed control, especially given that straw is increasingly in demand for alternative sources of energy generation (Hoshino et al. Reference Hoshino, Hata, de Aquino, Oliveira Menezes, Ventura and Conti Medina2017). However, changes in the agricultural environment resulting from straw deposition on the soil surface, due to mechanical sugarcane harvesting and subsequent removal for energy generation, can impact weed dynamics on ratoon cane postharvest (Carvalho et al. Reference Carvalho, Nogueirol, Menandro, Bordonal, Borges, Cantarella and Franco2017; Silva Junior et al. Reference Silva Junior, Martins and Martins2016). Approximately 20% to 30% of sugarcane straw has been indicated to be removed on the field for a sustainable way related with alternative clean energy (Carvalho et al. Reference Carvalho, Cerri and Karlen2019).
Agriculture is a dynamic field, characterized by constant changes in the sugarcane production system. Various scenarios have been explored concerning weed control in green cane systems. We hypothesize that it is possible to strike a balance by retaining a significant portion of sugarcane straw in the field to effectively control Digitaria spp. while utilizing the remaining straw for energy generation at the mill. This study has three main objectives: (1) evaluate the population dynamics and composition of Digitaria spp. under different sugarcane straw amounts, with and without herbicide treatment; (2) assess the development of sugarcane under different straw amounts; and (3) determine the amount of sugarcane straw that should be kept on the soil surface after harvest, to ensure that it does not compromise the chemical control for Digitaria spp. in ratoon cane in a green cane system.
Materials and Methods
The experiments were carried out in Quatá, São Paulo, Brazil, on farms owned by the Quatá Mill (Zilor Company). Two experimental sites were selected to coincide with different stages of the sugarcane harvest season: the beginning and the middle. These areas were selected for a 2-yr research study (Year 1: first ratoon cycle; Year 2: second ratoon cycle).
Descriptions of the Sites
Beginning of the Harvest Season
This experiment was conducted at Santo Antonio farm (22°20′84″S, 50°66′62″W). The study (ratoon cane) was carried out during two sugarcane crop cycles: 2016 to 2017 (first ratoon) and 2017 to 2018 (second ratoon). Before the treatments were set up, soil was collected from the experimental site for chemical and physical characterization, according to the methodology described by Raij et al. (Reference Raij, Andrade, Cantarella and Quaggio2001). The soil pH was determined in a 0.01 M CaCl2 solution, and soil organic matter was determined using dichromate oxidation. Sulfur was extracted using calcium phosphate (0.01 M); and phosphorus, potassium, calcium, and magnesium were extracted following the resin method (1 M NaHCO3 at pH 8.5). H + aluminum was determined using the buffer Shoemaker-McLean-Pratt (SMP) method, and aluminum was determined with KCl extraction following analysis in atomic absorption spectrometry or spectrophotometry (Raij et al. Reference Raij, Andrade, Cantarella and Quaggio2001). The soil was classified as Arenic Kandiudults (Soil Survey Staff 2014), being that the soil texture was sandy loamy, having the following physical attributes: 86% sand, 7% silt, and 7% clay. The chemical attributes measured were as follows: pH of 6.1 (CaCl2); 1.02% soil organic matter; 62 mg P dm−3; K, Ca, Mg, H + Al, and CEC of 1.2, 31, 12, 13, and 57.3 mmolc dm−3, respectively; and base saturation of 21.
The sugarcane variety cultivated in this field was ‘Coopersucar/IAA SP83 2847’, known for its good adaptability to sandy soils similar to those encountered in this study and suggested for harvesting at the beginning of crop season. Sugarcane was planted with double spacing (0.9 by 1.6 m), and the first harvest was performed in June 2016, preceding the installation of the experiment by 15 d.
In Year 1, herbicide treatments were applied in June 2016 in preemergence conditions under the following specific weather conditions monitored during application: 27.3 C temperature, 43% air humidity, and 2.2 km h−1 wind speed. In Year 2, the application took place in July 2017, with weather conditions consisting of 23 C temperature, 45% air humidity, and 1.5 km h−1 wind speed, also 15 d after harvest. The same combination of herbicides and doses used in the previous year of the experiment was applied: sulfentrazone + tebuthiuron (600 + 600 g ai ha−1). That treatment was applied in the same plot when the experiment was repeated in the second year on the subsequent ratoon crop.
Middle of the Harvest Season
This experiment was conducted at Santana farm (22°22′88″S, 50°84′8″W). The study focusing on ratoon cane was carried out during the 2016 to 2017 (first ratoon cycle) and 2017 to 2018 (second ratoon cycle). The sandy soil was classified as Arenic Kandiudults (Soil Survey Staff 2014). The base saturation was 54%, and the soil composition was 80% sand, 4% silt, and 16% clay. The chemical attributes measured included: pH of 4.9 (CaCl2); 0.7% soil organic matter; 4 mg P dm−3; and K, Ca, Mg, H + Al, and CEC of 1.1, 15, 5, 18, and 21.1 mmolc dm−3, respectively.
The sugarcane variety chosen for this area was ‘Ridesa RB92 579’, known for its good adaptability to sandy soils, as observed in this study conducted in this area for the middle of the harvest season. Sugarcane was planted with double spacing, and the first harvest was conducted in August 2016, and 15 d later was installed the experiment. In Year 1, herbicide treatments were applied in August 2016, under the following weather conditions: 29.6 C temperature, 32% air humidity, and 0.3 km h−1 wind speed. In Year 2, the application was carried out in July 2017 (15 d after the sugarcane harvest) under weather conditions of 22 C temperature, 39% air humidity, and 1.3 km h−1 wind speed. For this middle of harvest season, the same combination of herbicides and doses of isoxaflutole + tebuthiuron (90 + 900 g ai ha−1) were used as in the previous year of the experiment as well as in the second year on the subsequent ratoon crop on the same experimental plot.
Experimental Design and Herbicide Treatments
The experimental design employed for both years was a randomized block design with a split-plot arrangement with four replications. The main plot treatments involved different amounts of aboveground straw (on a dry basis) placed on the soil surface: 0 Mg ha−1 (total removal), 5 Mg ha−1 (partial removal), 10 Mg ha−1 (partial removal), and 15 Mg ha−1 (no removal). The split-plot treatments consisted of: (1) herbicide application and (2) no herbicide application (untreated control). Each plot consisted of 6 sugarcane twin rows with interrow spacing of 1.6 m, each measuring 20 m in length. Each subplot contained 6 rows of sugarcane with interrow spacing of 1.6 m, each measuring 10 m in length. The straw amounts in each plot were manually adjusted after field harvest, following an assessment of humidity percentage to facilitate dry-basis calculations.
The herbicide was applied as a preemergence treatment. The specific herbicides used and their respective doses were determined in accordance with the plan of the mill’s agronomic team: sulfentrazone + tebuthiuron (600 + 600 g ha−1) for the beginning of the harvest season, and isoxaflutole + tebuthiuron (90 + 900 g ha−1) for the harvest midseason. The herbicides were applied using a pressurized backpack sprayer (CO2) equipped with a swath width of 3 m with six AI110.02 (TeeJet®, Teejet® Technologies, Glendale Heights, IL, USA) nozzle tips spaced 0.5 m apart at 250 to 280 kPa at a walking speed of 3.6 km h−1.
Data Assessment
The parameters measured included weed composition, assessed using both density and dry matter, the percentage of weed control, phytotoxicity percentage, and sugarcane yield. Evaluations of the herbicide treatments were conducted at 30, 60, 90, 120, and 150 DAA.
The weed community’s composition was evaluated by assessing emerging flora using sampling squares with dimensions of 0.5 by 0.5 m, randomly placed eight times within each subplot. Weeds were identified by morphological traits at the genus and species level and quantified through counting to determine the mean density; the main weeds found were D. horizontalis and D. sanguinalis. The collected weeds were placed in paper bags and then subjected to drying in an oven with forced aeration at a constant temperature of 75 C until weight stabilization was achieved. Subsequently, the dry biomass was determined using a precision balance, following the method outlined by Kuva et al. (Reference Kuva, Pitelli, Alves, Salgado and Pavani2008b). Weed control (specifically Digitaria spp.) was assessed on a scale ranging from 0% to 100%, where 0% indicated the absence of weed control and 100% indicated the complete eradication of plants due to the herbicide’s effects (Gazziero Reference Gazziero1995). These control ratings were compared based on an untreated control that was maintained without herbicides during the preemergence phase throughout the experimental period. Other weeds were observed in the experimental plots: guineagrass [Urochloa maxima (Jacq.) R. Webster; syn.: Panicum maximum Jacq.], ilima (Sida cordifolia L.), common purslane (Portulaca oleracea L.), and littlebell (Ipomoea triloba L.). Simultaneously, any potential damage to the sugarcane crop was evaluated by determining the phytotoxicity percentage and assigning percentage-based ratings in comparison to untreated control plants (Gazziero Reference Gazziero1995). Before the harvest, biometric evaluations were conducted in each plot to characterize sugarcane biomass production, specifically, stalk biomass production (in Mg ha−1) was quantified in three rows measuring 2 m in length, located in the central area of each subplot.
Throughout the experimental period, weather conditions (e.g., rainfall and temperature) were monitored using an automatic weather station (Vantage Pro II, Decagon Devices, CA, USA). installed closer to the experimental areas (5 km). Using these weather parameters, the water balance (as shown in Figure 1) was calculated according the methodology described by Thornthwaite and Mather (Reference Thornthwaite and Mather1955).
Data Analysis
Statistical analysis was carried out on data from each harvest time and year evaluated was done, with the main variable being the sugarcane straw amount maintenance on the soil surface, and the second variable being the herbicide application. All the data sets were submitted to ANOVA (F-Test) at a 5% significance level. Following the principles of data normality, some parameters were transformed into square root (x + 1), being that, the means of the variables were compared using Tukey’s test (P < 0.1). Statistical analyses were performed using the software AgroEstat v. 1.1 (Barbosa and Maldonado Junior Reference Barbosa and Maldonado Junior2015).
Results and Discussion
Weather Conditions
The first experimental year was wetter compared with the second year (season precipitation of 2,254 vs. 1,346 mm) such that the winter in Year 2 was more prolonged and had greater amplitude when compared with Year 1. Furthermore, the distribution of rainfall was more uniform in Year 1, providing better conditions for plant growth and development (Figure 1).
Beginning of the Harvest Season
Digitaria horizontalis Density
During the first year of evaluation, sulfentrazone and tebuthiuron showed great control of D. horizontalis at 90 DAA without weed presence, subsequently at 120 and 150 DAA plant density of 0.03 and 0.06 plants m−2 were recorded, respectively. At 120 and 150 DAA for herbicide treatment, there were no significant differences in weed density (varying from 0 to 0.12 plants m−2) among the different straw quantities (0, 5, 10, and 15 Mg ha−1) (Table 1). However, D. horizontalis presence was observed in the untreated control. The highest density occurred without any straw cover, followed by 5 Mg ha−1, while the lowest densities were found at 10 and 15 Mg ha−1 at 120 and 150 DAA (Table 1). The monocotyledonous (Poaceae) weeds are important, with widespread occurrence in sugarcane growing areas (Kuva et al. Reference Kuva, Ferraudo, Pitelli, Alves and Salgado2008a; Reis et al. Reference Reis, Victória Filho, Andrade and Barroso2019). Major grass species competitors of sugarcane include Digitaria spp., Brachiaria spp., and U. maxima (Martins et al. Reference Martins, Velini, Martins and Souza1999; Monquero et al. Reference Monquero, Amaral, Binha, Silva, Silva and Martins2008).
a H, herbicide; UC, untreated control; A, average; s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; * = significant at 5% by the F-test; ns = not significant.
Moving on to Year 2, an interaction between sugarcane straw amount and herbicide application was observed. Throughout the three evaluation periods (90, 120, and 150 DAA), the herbicide application consistently demonstrated lower D. horizontalis densities compared with the untreated control, with 33, 20, and 4 times more weeds in the untreated control for each respective period (Table 1). The smaller difference at 150 DAA was expected due to the gradual decrease in herbicide residues in the soil. Regarding differences in straw quantities, higher D. horizontalis densities (14 plants m−2 and 7 plants m−2) were observed with the smaller straw amounts (0 and 5 Mg ha−1). When comparing the average densities of the smaller straw amounts (0 and 5 Mg ha−1) with the larger ones (10 and 15 Mg ha−1) at 90, 120, and 150 DAA, we found 6, 2.5, and 2 times more D. horizontalis in the smaller straw layers. This highlights the significance of the physical presence of straw layers in inhibiting the germination and emergence of small-seeded weeds like Digitaria spp. (Table 1).
Weeds are usually more competitive than sugarcane crop. Schedenffeldt et al. (Reference Schedenffeldt, Santos, Hirata, Soares and Monquero2022) concluded that the highest Digitaria spp. densities (80 plants m−1) decreased the initial growth of sugarcane. Giraldeli et al. (Reference Giraldeli, Silva, Brito, Araújo, Pagenotto, Moraes and Victoria Filho2018) observed that 84 d of coexistence between Digitaria spp. plants and sugarcane seedlings coincided with the critical period for interference prevention. For our conditions, over an evaluated period of 150 d after planting, there was a 30% reduction in sugarcane yield when the density of D. horizontalis ranged from 35 to 69 plants m−1.
Digitaria horizontalis Dry Matter
At 150 DAA, D. horizontalis was exclusively detected during the first year of evaluation in the untreated control. The highest amount was observed in the 0 Mg ha−1 layer (40 g m−2), followed by the 5 Mg ha−1 layer (18 g m−2). Interestingly, there was no significant difference between the dry matter in the larger layers of straw, namely 10 Mg ha−1 (9 g m−2) and 15 Mg ha−1 (10 g m−2), as shown in Table 2.
a s*t, straw*treatment; CV.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level.** = significant at 1% by the F-test; ns = not significant.
Even in this interesting scenario of reduction in D. horizontalis due to the presence of sugarcane straw (10 and 15 Mg ha−1), herbicide applied to the straw layer is necessary and highly recommended. During the second year of evaluation, D. horizontalis was also present in the herbicide treatment, but the difference in dry matter was five times greater in the absence of herbicides compared with the chemical treatment. In other words, the use of sulfentrazone + tebuthiuron in both years had a significantly positive impact. The herbicides recommended for the control of D. horizontalis with more than 95% preemergence control are isoxaflutole, amicarbazone, metribuzin, oxyfluorfen, sulfentrazone, tebuthiuron, and trifluralin (Negrisoli et al. Reference Negrisoli, Carbonari, Corrêa, Perim, Velini, Toledo, Victoria Filho and Rossi2011; Takano et al. Reference Takano, Biffe, Constantin, Oliveira Junior, Braz and Gemelli2018). Tebuthiuron is a residual herbicide widely used in preemergence applications in green cane production to control the main annual species (Negrisoli et al. Reference Negrisoli, Velini, Rossi, Correia and Costa2007; Tofoli et al. Reference Tofoli, Velini, Negrisoli, Cavenaghi and Martins2009). Moreover, there were no differences in the dry matter of D. horizontalis among the various straw amounts (0, 5, 10, and 15 Mg ha−1) for Year 2.
Digitaria horizontalis Control
Similar values for D. horizontalis control percentage were observed in assessments conducted at 120 and 150 DAA. In the first year, the control percentage for D. horizontalis was 98% at 150 DAA. In the second year of evaluation, this control decreased to 92%, with the lower control in the second year attributed to higher weed density in the area, indicating a high infestation pressure (Table 3) and differing precipitation conditions (Figure 1). The chemical control of weeds in sugarcane is more effective when carried out during rainy seasons compared with drier seasons (Correia and Kronka Reference Correia and Kronka2010; Oliveira et al. Reference Oliveira, Ferreira and Sentelhas2020), because soil moisture and intense weed metabolism favor the absorption of most of the applied herbicides (Azania et al. Reference Azania, Marques, Azania and Rolim2009). However, due to the extensive harvesting period of sugarcane (from May to November—beginning, middle, and end of the harvest season) and the need to control weeds at the beginning of the sugarcane growth period, applications in the dry season are also fundamental for maintaining sugarcane yield (Takano et al. Reference Takano, Biffe, Constantin, Oliveira Junior, Braz and Gemelli2018).
a s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level.** = significant at 1% by the F-test; ns = not significant.
The control percentage remained consistent, regardless of the presence or absence of straw. This suggests that the herbicides applied effectively passed through the straw and reached the soil, thus acting on the seedlings of Digitaria spp.
Sugarcane Phytotoxicity
In the evaluation of sugarcane phytotoxicity caused by the use of herbicide mixture, phytotoxicity was observed only during the first year. About 12% phytotoxicity was recorded up to 90 DAA, which then decreased to 3% (120 and 150 DAA). Notably, at 60 and 90 DAA, lower phytotoxicity levels (7% and 9%, respectively) were observed in areas with 5 Mg ha−1 of straw (Table 4). However, these values did not correlate with any significant changes in the final yield. Regarding application of the herbicide tebuthiuron to sugarcane, Azania et al. (Reference Azania, Casagrande and Rolim2001) concluded that phytotoxicity was only observed in the initial phase of the crop, with complete recovery occurring 100 d after treatment. This recovery did not compromise sugarcane yield or the quality of the raw material. In fact, during the beginning of the harvest season at 90 DAA, the phytotoxicity observed in the initial assessments (up to 15%) had already been fully resolved. Sugarcane can tolerate damage comprising up to 27% of the leaf area without yield being impacted, and such injuries may be attributed to a cultivar’s poor tolerance or improper herbicide use (Velini Reference Velini1993).
a Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; ; ns = not significant.
b CV, coefficient of variation.
Fagliari et al. (Reference Fagliari, Júnior and Constantin2008) and Toledo et al. (Reference Toledo, Victória Filho, Negrisoli and Correa2017) reported that preemergence herbicide applications were generally selective for sugarcane. A factor favoring sugarcane selectivity is that, in general, herbicides are absorbed less by the crop compared with weeds. Araldi et al. (Reference Araldi, Velini, Girotto, Carbonari, Sampaio and Trindade2011) found that weed plants typically consume about 2.5 times more water than sugarcane plants. Consequently, because sugarcane absorbs less herbicide due to its lower water intake, such selectivity is often maintained. It should be noted that the scientific studies in the literature vary as to factors such as application timing, sugarcane variety, soil type, and field treatment design.
Sugarcane Yield
Throughout the evaluations conducted in both Year 1 and Year 2, there were no significant differences in yield observed at the beginning of the harvest, irrespective of chemical control (Table 5). Herbicide selectivity for sugarcane cultivation has posed challenges for producers due to the diverse cultivation systems employed in Brazil (Franchini et al. Reference Franchini, Constantin, Mendes, Oliveira, Biffe, Rios, Matte and Machado2020). In their study, Franchini et al. (Reference Franchini, Constantin, Mendes, Oliveira, Biffe, Rios, Matte and Machado2020) evaluated herbicide selectivity when applied pre- and postemergence in conventional systems with burning straw and in green cane systems. Among the 26 treatments assessed with preemergence applications, only 7 significantly reduced sugarcane yields. Additionally, the presence of different amounts of straw on the soil surface did not affect yield.
a s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ns = not significant.
Middle of the Harvest Season
Digitaria sanguinalis Density
In the first year of the experiment, an interaction between the data revealed an overall low infestation of D. sanguinalis. There was no significant difference in weed density between the herbicide treatment and the untreated control (60 DAA). However, at 90 and 120 DAA, differences in weed density were observed among the different levels of straw covering the soil. The layers with 0 and 5 Mg ha−1 of straw had the highest weed density, while the larger straw layers showed almost no presence of D. sanguinalis (Table 6). In the second year of evaluation, the highest weed density continued to be in the smallest straw layers (0 and 5 Mg ha−1).
a H, herbicide; UC, untreated control; A, average; s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; * = significant at 5% by the F-test; ns = not significant.
Correia and Durigan (Reference Correia and Durigan2004) verified that only higher amounts of sugarcane straw (i.e., 10 and 15 Mg ha−1) resulted in a profound reduction of D. horizontalis weed infestation. In our study, the presence of sugarcane straw reduced the density of D. sanguinalis both at the beginning and middle of the harvest season in the two evaluation years, especially for larger amounts of straw maintained in the soil after harvest (10 and 15 Mg ha−1). At 120 and 150 DAA, the herbicide treatment demonstrated lower infestation of D. sanguinalis compared with the untreated control, with differences of approximately 50% and 20%, respectively (Table 6).
Digitaria sanguinalis Dry Matter
When evaluating the dry matter of D. sanguinalis at 150 DAA, higher dry matter (60% or greater) was observed in the untreated control in the first year. However, in the second year, the highest dry matter of the weed was found in the absence of straw (0 Mg ha−1), differing from the other straw amounts, which generally resulted in lower D. sanguinalis dry matter (Table 7). This difference amounted to a 60% increase in dry matter of D. sanguinalis in the absence of straw compared with its presence in Year 1 and a 30% increase in Year 2.
a s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; * = significant at 5% by the F-test; ns = not significant.
The majority of Brazilian sugarcane production is based on the green cane system. The presence of sugarcane straw residue on the soil surface by itself can reduce weed occurrence, which is a limiting factor for higher yields in sugarcane crop (Correia et al. Reference Correia, Durigan and Klink2006; Hoshino et al. Reference Hoshino, Hata, de Aquino, Oliveira Menezes, Ventura and Conti Medina2017; Silva et al. Reference Silva, Kuva, Alves and Salgado2009). The presence of sugarcane straw can influence the dormancy, germination, and mortality of weed seeds, leading to changes in the composition of weed communities. These changes are difficult to predict, because they depend on the thickness of the straw layer on the soil and the species of weed affected by soil cover (Carvalho et al. Reference Carvalho, Nogueirol, Menandro, Bordonal, Borges, Cantarella and Franco2017; Correia and Durigan Reference Correia and Durigan2004). The adoption of sugarcane in the green cane system facilitates the control of some weeds with small seeds (Carvalho et al. Reference Carvalho, Nogueirol, Menandro, Bordonal, Borges, Cantarella and Franco2017; Correia et al. Reference Correia, Durigan and Klink2006). Hoshino et al. (Reference Hoshino, Hata, de Aquino, Oliveira Menezes, Ventura and Conti Medina2017) found a linear decrease in weed density with an increase in sugarcane straw amount. Treatments between 15 and 20 Mg ha−1 of sugarcane straw showed the lowest area occupied by weeds. Toledo et al. (Reference Toledo, Perim, Negrisoli, Corrêa, Carbonari, Rossi and Velini2009) concluded that maintaining an optimal quantity of straw (10 Mg ha−1) can lead to more sustainable control of the main weeds of economic significance in the sugarcane crop. Hassuani et al. (Reference Hassuani, Leal and Macedo2005) analyzed the results of an experimental network of 56 sugarcane harvests in São Paulo State and found that maintaining amounts of sugarcane straw equal to or higher than 8 Mg ha−1 resulted in an average efficiency in weed control of 87%, while amounts lower than 8 Mg ha−1 reduced the average efficiency to 56%, as these straw amounts are not always uniformly distributed on the soil (Carvalho et al. Reference Carvalho, Nogueirol, Menandro, Bordonal, Borges, Cantarella and Franco2017).
Digitaria sanguinalis Control
The percentage control achieved at 120 DAA in the middle of the harvest season (drier season) was similar to that observed at 150 DAA. In the first year, an average of 86% control was observed for the treatment (isoxaflutole + tebuthiuron) against D. sanguinalis, while in the second year, this control rate dropped to 74% in general. Recently, herbicide formulations have been reconfigured for adverse dry conditions, with improvements in their formulations and adjustments in herbicide doses. Sulfentrazone is regularly applied to sugarcane crop harvest residue for preemptive control of weedy species, especially during the dry season (Carbonari et al. Reference Carbonari, Gomes, Trindade, Silva and Velini2016). According to Guimarães (Reference Guimarães1987), the characteristics that contribute to maintaining herbicide efficiency in the soil during periods of drought include low volatility, low photodegradability, high solubility, low adsorption of soil colloids, and degradation, especially by microorganisms.
In the second year, control varied as a function of different amounts of sugarcane straw. The best control was achieved with 15 Mg ha−1 (98%), while the lowest control was observed in the absence of straw (0 Mg ha−1), resulting in 50% control of D. sanguinalis. The other layers had intermediate control rates of 77% (10 Mg ha−1) and 70% (5 Mg ha−1) (Table 8). This higher control resulted in greater yield. A number of weed scientists have studied the occurrence of weeds in sugarcane crops in relation to the amount of straw covering the soil (Carbonari et al. Reference Carbonari, Gomes and Velini2010; Hoshino et al. Reference Hoshino, Hata, de Aquino, Oliveira Menezes, Ventura and Conti Medina2017). Silva Junior et al. (Reference Silva Junior, Martins and Martins2016) conducted a study on the effects of different sugarcane straw amounts on the emergence of D. nuda, and found that increasing amounts of sugarcane straw reduced D. nuda seedling emergence. Consequently, it may no longer pose a problem in green cane areas (Klein and Felippe Reference Klein and Felippe1991).
a s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; * = significant at 5% by the F-test; ns = not significant.
Sugarcane Phytotoxicity
Phytotoxicity in the sugarcane crop was only observed at 30 DAA in the first year of assessment. This phytotoxicity disappeared in subsequent evaluations. The highest level of phytotoxicity was found under 15 Mg ha−1 of straw (14%), followed by 10 and 5 Mg ha−1 (11%). The lowest phytotoxicity occurred in the absence of straw (7%), as shown in Table 9. Straw likely retained the herbicide, causing slight phytotoxicity in the plants at the initial stage. However, this did not adversely affect the final yield in any way.
a Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; ns = not significant.
b CV, coefficient of variation.
Green cane cultivation exhibited a higher frequency of nonselective treatments, especially when herbicides were used in tank mixtures. In green cane crops with straw present, the mass of roots in the surface layers of the soil (0 to 0.2 m) was greater compared with crops without straw (Aquino et al. Reference Aquino, Medina, Porteira Junior, Santos, Cunha, Kussaba, Santos Júnior, Almeida and Santiago2015). This increased root mass could contribute to higher herbicide absorption in green cane systems, potentially leading to greater phytotoxicity in certain cases (Dias et al. Reference Dias, Silva Junior, Queiroz and Martins2017; Franchini et al. Reference Franchini, Constantin, Mendes, Oliveira, Biffe, Rios, Matte and Machado2020). In our study, the greatest phytotoxicity was indeed observed in the presence of straw. In Year 1 in the middle of the harvest season, the highest phytotoxicity (15%) was recorded when the straw quantity was 15 Mg ha−1.
According to Souza et al. (Reference Souza, Perecin, Azania, Schiavetto, Pizzo and Candido2009), the selectivity of herbicides in sugarcane cultivation can vary depending on factors, including climatic conditions. Sugarcane harvested at the beginning of the harvest season, during the wet season, tends to have more soil moisture compared with the middle of the harvest season, which is drier. Toledo et al. (Reference Toledo, Silva Junior, Negrisoli, Negrisoli, Corrêa, Rocha and Victória Filho2015) concluded that sulfentrazone, among other herbicides evaluated, when applied preemergence in sugarcane crops during the dry season, did not cause phytotoxicity in the initial stages of crop development. Similarly, herbicide in tank mixtures such as amicarbazone with isoxaflutole and tebuthiuron with isoxaflutole showed no phytotoxicity up to 120 DAA. In our research, phytotoxicity occurred for a shorter duration (only 30 d) during midseason compared with the beginning of the harvest season (90 d).
Some herbicides can reduce sugarcane yields without causing visually detectable effects, while others can cause severe injuries but still allow for full recovery of the sugarcane (Bunhola and Segato Reference Bunhola and Segato2017). The phytotoxicities observed in the current study did not negatively impact the final sugarcane yield.
Sugarcane Yield
In the first year of evaluation, there was no significant difference in sugarcane yield when comparing the untreated control with the tank mixture of isoxaflutole + tebuthiuron. However, in the second year, yield varied based on straw amount. The highest yield was produced by 10 and 15 Mg ha−1 of straw (50 Mg ha−1), while the layer with 5 Mg ha−1 of straw resulted in an intermediate yield (44 Mg ha−1). The lowest yield was obtained in the absence of straw (38 Mg ha−1) (Table 10).
a s*t, straw*treatment; CV, coefficient of variation.
b Means followed by the same uppercase letters in columns and lowercase letters in rows do not differ from each other by Tukey’s test at 5% probability level. ** = significant at 1% by the F-test; ns = not significant.
The amount of sugarcane straw left on the soil after harvest in the green cane system can benefit the sugarcane crop by enhancing nutrient absorption, potentially increasing yield by up to 30% (Ball-Coelho et al. Reference Ball-Coelho, Tiessen, Stewart, Salcedo and Sampaio1993, Hoshino et al. Reference Hoshino, Hata, de Aquino, Oliveira Menezes, Ventura and Conti Medina2017). In the middle of the harvest season in Year 2, maintaining 10 or 15 Mg ha−1 of sugarcane straw on the soil surface led to a 32% increase in sugarcane yield. However, it is worth noting that other studies have shown conflicting results, suggesting that an excess of straw on the soil can harm plants and result in yield losses (Campos et al. Reference Campos, Milan and Siqueira2008; Leavitt et al. Reference Leavitt, Sheaffer, Wyse and Allan2011).
In summary, straw helped control Digitaria spp., promoted good herbicide dynamics, maintained soil moisture, and brought several benefits to the soil, resulting sometimes in higher sugarcane yield with 10 and 15 Mg ha−1 of straw covering the soil surface. To strike a balance regarding the optimal amount of sugarcane straw to retain on the soil, Aquino and Medina (Reference Aquino and Medina2014) demonstrated that maintaining 50% or 75% of the straw may enhance sugarcane yields. This scientific insight is crucial for determining the appropriate amount to leave on the field, especially considering the growing demand for straw as an alternative energy source, such as for thermal or second-generation bioethanol production (Canilha et al. Reference Canilha, Chandel, Suzane dos Santos Milessi, Antunes, Luiz da Costa Freitas, das Graças Almeida Felipe and da Silva2012; Soccol et al. Reference Soccol, Vandenberghe, Medeiros, Karp, Buckeridge, Ramos, Pitarelo, Ferreira-Leitão, Gottschalk and Ferrara2010). Our paper aligns with the idea that it is advisable to retain the largest portion of sugarcane straw in the field after harvest, as it not only effectively controls Digitaria spp. but also maintains or improves sugarcane yields.
In conclusion, the weed under study, Digitaria spp., exhibited a higher density and dry matter when there was a lower amount of sugarcane straw present on the soil surface and no herbicides were applied in both sites at the beginning and middle of harvest season. Although a higher straw amount (15 Mg ha−1) initially led to phytotoxicity in sugarcane plants, it did not affect sugarcane yield. On the contrary, this higher straw amount resulted in a higher yield for the second year in the middle of harvest season. According to this research, it is essential to maintain at least 10 Mg ha−1 of sugarcane straw on the soil surface and remove only 5 Mg ha−1 for energy cogeneration. Whenever possible, it is advisable to retain all straw in the field.
Funding statement
This research was supported by the Sugarcane Renewable Electricity Project – SUCRE/PNUD (grant number BRA/10/G31), and by the National Council for Scientific and Technological Development–CNPq (grants 476718/2013-9 and 406922/2013-6).
Competing interests
The authors declare no competing interests.