Prévia do material em texto
RESEARCH ARTICLE A Soil Physical Assessment Over Three Successive Burned and Unburned Sugarcane Annual Harvests Pedro. F. S. Ortiz1 • Mário M. Rolim1 • Renato P. de Lima2 • Cássio A. Tormena3 • Roberta Q. Cavalcanti1 • Elvira M. R. Pedrosa1 Received: 9 November 2021 / Accepted: 13 March 2022 � The Author(s), under exclusive licence to Society for Sugar Research & Promotion 2022 Abstract A field experiment was carried out to evaluate changes in soil physical properties over three successive years of sugarcane cultivation under burned (BH) and unburned (UH) cultivation systems. Soil samplings were collected after sugarcane planting, after the plant-cane harvest (H1) and after the first ratoon harvest (H2) in areas subjected to BH and UH. The degree of compactness (DC), macroporosity (MaP), soil penetration resistance (SPR), total organic carbon, field water content (h) and water content at field capacity (hFC) were measured. Moreover, the amount of surface straw was measured after H1 and H2. Soil physical quality was considerably reduced after H1 regardless of the harvest systems. Annual successive har- vests increased DC by 10%, reducing MaP by about 50% and increasing SPR. The negative effects of the successive harvests were slightly greater at BH because of the lowest amount of sugarcane straw on the soil surface, which considerably reduced h. It can be concluded that successive harvests reduce the soil physical quality in burned and unburned harvest systems after the first harvest, but the negative effect is more prominent in areas with straw burning. Keywords Soil compaction � Soil water content � Straw mulching Introduction Sugarcane is an intensely mechanised agricultural crop, cultivated in large areas around the world (Júnnyor et al. 2019; Cherubin et al. 2021). Brazil is a major sugarcane crop producer, where it is cultivated predominantly in central southeastern and in the northeastern coastal region of Brazil (Lisboa et al. 2018; Cavalcanti et al. 2020; Cherubin et al. 2021). Due to topographical and environ- mental issues, as well as the evolution of agricultural mechanisation, two sugarcane harvest systems still pre- dominate in Brazil: burned (e.g. Lozano et al. 2013; Cavalcanti et al. 2019, 2020) and unburned (Lisboa et al. 2018; Castioni et al. 2019; Júnnyor et al. 2019; Cherubin et al. 2021). The northeastern region is the second largest sugarcane- producing in Brazil (849 thousand ha and 48.5 million tons) and is responsible for 8% of national production (Cavalcanti et al. 2020; Conab 2021), for which 76.8% of the fields are harvested under the burned-manual system. The burned harvest system consists of manual cutting and mechanised collection and transportation (Lozano et al. 2013). To facilitate manual stalk cutting, the sugarcane is burned for the elimination of straw. In contrast, flat topography allowed the implementation of a fully unburned mechanised harvesting system (green sugarcane harvest) (Carvalho et al. 2019; Cherubin et al. 2021), which allows substantial agronomic and environmental gains due to the maintenance of the straw on the soil surface (Cherubin et al. 2021). In some areas favourable to mechanised sugarcane cutting in northeastern Brazil, & Renato P. de Lima renato_agro_@hotmail.com 1 Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros, Dois Irmãos, Recife, Pernambuco 52171-900, Brazil 2 University of São Paulo, ‘‘Luiz de Queiroz’’ College of Agriculture, 11 Pádua Dias Ave., Piracicaba, São Paulo 13418-900, Brazil 3 Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá, Paraná 87020-900, Brazil 123 Sugar Tech https://doi.org/10.1007/s12355-022-01136-0 http://orcid.org/0000-0003-0524-439X http://crossmark.crossref.org/dialog/?doi=10.1007/s12355-022-01136-0&domain=pdf https://doi.org/10.1007/s12355-022-01136-0 implementation of the unburned harvesting system has been recorded. Sugarcane cultivation commonly begins with soil til- lage, furrowing and planting (Lisboa et al. 2018; Barbosa et al. 2021). Sugarcane grows during an entire agricultural year, and it is then harvested. The plants re-grow under a ratoon sugarcane stage and are, therefore, harvested annually during an average of 5–6 years when the crop yield declines. Studies have shown that successive harvests using heavy machinery can cause compaction, and the lack of tillage may make compaction persist until the next replanting (5–6 years), with negative impacts on the soil physical quality (Cavalcanti et al. 2019, 2020; Jimenez et al. 2021a; Barbosa et al. 2021) for current sugarcane crops. Furthermore, straw removal by burning in the burned harvesting system could aggravate the impact of compaction on the soil physical quality, since studies have shown that maintaining straw at the soil surface in unburned harvesting systems have promoted improvements in soil physical quality (Castioni et al. 2018, 2019; Cherubin et al. 2021). Compaction caused by heavy machinery traffic can decrease the soil physical quality (de Lima et al. 2021a), which promotes negative effects on the development of the root system (Otto et al. 2011; Pandey et al. 2021) and sugarcane yield (Otto et al. 2011), since compaction reduces soil total porosity, increasing bulk density and penetration resistance, as well as reducing the volume of large pores (Horn et al. 2019; Keller et al. 2019). Results from Lovera et al. 2021) indicate that most sugarcane roots grow in the early months after planting; therefore, satis- factory soil physical quality must be necessary for the sugarcane root system to perform optimally. Severe soil physical damage occurs when limiting thresholds for plant development are exceeded. Studies suggest that minimum values of air-filled porosity and soil penetration resistance should not be lower than 10% or greater than 2.0 MPa, respectively; otherwise, gas exchange limitations between soil and atmosphere, as well as root penetration resistance restrictions occur (Silva et al. 1994; Otto et al. 2011; Asgarzadeh et al. 2010; de Lima et al. 2016). Thus, the establishment of soil physical quality, among other factors, involves the adoption of management systems to avoid reaching critical limits of soil physical indicators (e.g. de Lima et al. 2021a). Fur- thermore, although studies have evaluated the impact of the unburned (e.g. Castinoni et al. 2018, 2019) and burned (Cavalcanti et al. 2019, 2020) harvest systems separately (different regions), a study on the same soil conditions is still necessary to assess the differences associated with harvesting machines and straw on soil surface induced by the two systems. In this context, we hypothesise that soil physical quality declines with successive sugarcane harvests after the planting, and these impacts are different between the burned and unburned harvest systems. To test this hypothesis, a field experiment was installed to evaluate changes in soil physical indicators submitted to three suc- cessive crop years of sugarcane cultivation under burned and unburned sugarcane harvest systems. Material and Methods Experimental Site Characterisation The study was carried out at a commercial production farm, located in Igarassu (7�5105500 S, 35�10200 W, 180 m of altitude), Pernambuco State, northeastern Brazil (Fig. 1). Igarassu has an annual mean rainfall of approximately 1487 ± 63 mm and an annual mean temperature of 25 �C. The soil was classified as a sandy-loam Ultisol (Soil Sur- vey Staff 2014). The particle density, maximum bulk density and particle size distribution are presented in Table 1. The experimental site has been cultivated with sugarcane for the past 50 years and is located in the Atlantic Forest biome region (see Cavalcanti et al. 2020). Within 18 ha sites with flat relief, two experimental areas with dimensions of 100 9 100 m were delimited. Both experimentalareas were similarly subjected to con- ventional soil tillage with a sub-soiler up to 0.4 m, a disk harrow at 0.20 m depth and one pass with a levelling disc harrow. Soon after tilling, the soil was furrowed to a depth of 0.20 m and supplied with organic fertilization using 20 Mg ha-1 of residual sugarcane filter cake (e.g. see Yadav and Solomon 2006) for the sugarcane planting, which is the usual fertilization practice for sugarcane fields. The crop planting spacing arrangement is shown in Fig. 2. Experimental Scenarios, Soil Sampling and Measurements The two experimental areas were arranged to receive burned (BH) and unburned (UH) harvests. The BH is typically used in northeastern Brazil and consists of har- vesting the sugarcane from the field by sequentially burn- ing, manually cutting and mechanically collecting and transporting. Typical vehicles (tractors, trailers and trucks) used for collection and transportation are described in Lozano et al. (2013) and Jimenez et al. (2021b). The UH is predominantly used in central-southern Brazil, where sugarcane is harvested without straw burning (i.e. green harvest), consisting of mechanized cutting, collecting and transport (see Lisboa et al. 2018) (i.e. totally mechanized operation). The machinery parameters of typical green- Sugar Tech 123 sugarcane harvesting (cutting and collecting harvesting operations) used in the UH are described in Júnnyor et al. (2019). For each harvesting system, soil samplings were per- formed after sugarcane planting (SP), after the plant-cane harvest (H1) and after the first ratoon harvest (H2) in areas subjected to BH and UH, as described in Fig. 3. At H1, stalks are typically used as seeds and regardless of the harvesting system, they are harvested without burning. Therefore, at H1, both BH and UH sites were harvested without burning, whereas the BH and UH experimental sites were harvested burned and unburned at H2, respec- tively (Fig. 3). Fig. 1 Location of the experimental areas in Igarassu, state of Pernambuco, Northeastern Brazil. UH: unburned harvest; BH: burned harvesting Table 1 Basic soil physical characterization of the experimental site cultivated with sugarcane Characterization Sugarcane areas Soil class Ultisol Cultivation years 50 years (1969 Registration) Cultivation phase Plant-cane Layer (m) 0.00–0.20 0.20–0.40 Soil Texture Loamy sand Sandy loam Particle density (Mg m-3) 2.63 Sand (g kg-1) 830 790 Silt (g kg-1) 90 90 Clay (g kg-1) 80 120 Organic carbon (g kg-1) 24 12 Reference bulk density (Mg m-3)a 1.90 1.85 aObtained by Proctor test Sugar Tech 123 The sugarcane planting (SP) stage consisted of the first year of sugarcane cultivation after planting or re-planting and included recent soil tillage practice and recent planting of sugarcane, whereas H1 and H2 corresponded to the beginning of the second and third year of cultivation, respectively (Fig. 3). Soil sampling, in all sugarcane cul- tivation stages, was performed after approximately 90 days of sugarcane planting and harvest. For each treatment, sampling points were marked with 20 m spacing, totalling 36 sampling points across the 100 9 100 m dimensioned site. Sampling points were placed considering sugarcane row and inter-row position as specified in Fig. 2. After the plant-cane harvest (H1) and after the first ratoon harvest (H2), the straw amount on the soil surface was measured at both BH and UH. A rectangular mould, with 38 9 25 cm dimensions (Bezerra and Cantalice 2006), was placed on the marked sampling points, and the amount of straw within the mould was collected. Then, the straw was weighed (at field moisture). Straw sampling photographs of the rectangular area were used for the determination of the straw-covered area and used for the calculation of straw in Mg ha-1. Sugarcane surface straw levels were quite similar to the UH (* 10 Mg ha-1) and BH (* 8 Mg ha-1) after the plant-cane harvest (H1) due to the absence of straw burning in both harvesting systems (Fig. 4). However, after H2, sugarcane surface straw level was considerably reduced in the BH system Fig. 2 Representation of crop planting positions and sampling protocol. a Crop planting spacing arrangement. b Spatial distribution of sampling points across the experimental area Fig. 3 Temporal soil sampling over three annual sugarcane cultivation stages in areas subjected to burned (BH) and unburned (UH) harvest systems Sugar Tech 123 (\ 2 Mg ha-1), whereas straw remained at around 11 Mg ha-1 at UH. Soil penetration resistance (SRP) was measured in situ around the defined sampling point positions to a depth of 0.4 m using a manual penetrometer with a cone diameter of 14.5 mm according to Stolf et al. (1998). All penetrometer measurements were carried out on the same day at field water content near to field capacity. The data were exam- ined, and the SPR values were computed at the centres of the 0.0–0.20 and 0.20–0.40 m depth. Undisturbed soil cores were carefully collected at a depth of 0.0–0.20 and 0.20–0.40 m using steel cylinders 0.05 m in diameter and height. In the laboratory, the cores were slowly saturated by capillarity for 24 h and then subjected to matric potentials of - 60 hPa and - 100 hPa using a tension table. At equilibrium for each matric potential, the soil cores were weighed and then the cores were oven-dried at 105 �C for 24 h. Bulk density (BD) was calculated as the ratio between oven-dried soil mass and the volume of the cores. Gravimetric water contents at each matric potential were calculated as the ratio between water mass and soil mass after oven-drying the soil cores, and the volumetric water content (h) was calculated from the BD and gravimetric water content. Soil macroporosity (MaP) following Kotlar et al. (2020) and volumetric soil water content at the field capacity (hFC) (Silva et al. 1994) were calculated following the relationships: / ¼ 1� BD=PDð Þ½ � ð1Þ MaP ¼ /�h60hPa ð2Þ hFC ¼ h100hPa ð3Þ where h60hPa and h100hPa are the volumetric water contents at the matric potentials of - 60 and - 100 hPa, respec- tively, whereas / is the soil total porosity, and PD is the soil particle density. Finally, disturbed soil samples were collected at each soil sampling point and depths for the determination of soil particle-size distribution (sand, silt and clay), which was performed using the hydrometer method (Gee and Or 2002). Soil organic carbon was measured using the Walkley–Black method, while particle density was deter- mined using the volumetric-flask method, both following the methodologies suggested by Teixeira et al. (2017) for Brazilian soils. Furthermore, Proctor tests were performed following the Brazilian Association of Technical Standards (ABNT) methodology (ABNT 1990). The soil was suc- cessively wetted and weighed to determine the soil bulk density as a function of gravimetric water content. The maximum value of bulk density provided by the Proctor test was taken as reference bulk density (Table 1). It was estimated at the maximum curvature point of the quadratic relationship between bulk density and water content. Statistical Analysis The data were subjected to descriptive statistical analysis, as well as canonical discriminant analysis. Biplot graphs were used to examine the dispersion of the canonical scores associated with original variables, as well as the impact of these variables on the discrimination of the treatments. The mean values of the canonical variables for each treatment were compared by 95% confidence spheres. Significant differences were considered as when the confidence spheres did not overlap. All multivariate analyses were performed through the candisc package, using R Software (R Core Team 2020). Additional t-test to independent samples were applied to verify differences for soil surface straw levels. Results The distribution pattern of the soil physical propertieswas quite similar at the row and inter-row sampling positions for both soil layers. The canonical analysis, given in Fig. 5, explained more than 80% of the data variability by two canonical variables (i.e. CAN1 and CAN2) for both soil layers. These results indicate that the dispersion of the canonical scores associated with original soil physical variables had practically the same pattern for the row and inter-row positions. Note that, the dispersion of the canonical average (spheres) and arrows (original vari- ables), which discriminate the sugarcane planting stage and the harvesting systems, have the same pattern. This means that multivariate analysis does not point to the temporal difference of soil physical properties between row and inter-row positions in both BH and UH. Thus, the subse- quent statistical analyses were treated considering row and Fig. 4 Sugarcane straw amount after the plant-cane harvest (H1) and after the first ratoon harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems. Vertical bars indicate the standard deviation (n = 36). * indicate significant difference between UH and BH within H1 or H2 by the t-test (p\ 0.05) Sugar Tech 123 inter-row sampling positions as a single data set, consisting of the 36 sampling points. The soil physical properties measured over the three years of cultivation in UH and BH are presented in Table 2 and Fig. 6. At the 0.0–0.20-m-depth layer, the DC values increased from around 80% to more than 90%, whereas the SPR increased from around 1.5 MPa to more than 2.5 MPa from SP to H2. The SPR values were notably larger for BH (* 3.6 MPa) than for UH (* 2.7 MPa) at H2. The MaP was strongly reduced from around 0.08 m3 m-3 to around 0.04 m3 m-3 after the first harvest, indicating a reduction of 50% in the large soil pore volume in both harvesting systems. For hFC, the reductions from SP to the harvested scenarios seem to have been less affected (* 0.01 m3 m-3), whereas OC decreased from 23 to 15 g kg-1 from the SP to H2. Field water content (h) was lower at BH after the first harvest, mainly at H2, which was reduced by about 50%. For the deepest layer (0.2–0.4 m), DC was slightly higher than in the surface layer, with values up to around 90% at the SP stage, which was little changed over the years of cultivation (Table 2; Fig. 6). The SPR values increased by more than 2.0 MPa from SP to H2, reaching more than 4.0 MPa at H2 in both the UH and BH systems. Decreases in the MaP were also slightly observed in both harvesting systems (0.07–0.05 m3 m-3), while OC decreased at around 50% (from * 14 to * 7 g kg-1; Fig. 6, Table 2) from SP to H2 at BH systems. For h, a slight reduction is observed at H2 for the BH, from 0.24 to 0.21 m3 m-3. Figure 7 shows the distribution of the canonical scores of the soil physical indicators considering row and inter- row position. Notably, at the 0.0–0.2 m, MaP, hFC and OC started higher at SP, were reduced at H1 and further reduced at H2, whereas DC and SPR increased from SP to H2. Only for H2, there was a significant difference between BH and UH (non-overlapping of confidence spheres), where the canonical means were slightly higher for BH with increased values of DC and SPR. For the 0.20–0.40 m layer, there was no significant difference for the sugarcane harvest systems (BH and UH) and successive annual cul- tivations (i.e. SP, H1 and H2), except for H2, which showed slightly higher DC and SPR values, with BH Fig. 5 Dispersion of the canonical scores associated with variations of the original variables for row (a, c) and interrow (b, d) positions after sugarcane planting (SP), after the plant-cane harvest (H1) and after the first ratoon harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems at depths of 0.0–0.2 m (a, b) and 0.2–0.4 m (c, d). Spheres represent 95% confidence for the average of the CAN1 and CAN2 (canonical variables 1 and 2, respectively). DC: degree of compactness; MaP: macroporosity; SPR: soil penetration resistance; OC: total organic carbon; hFC: volumetric water content at field capacity (- 100 hPa). h: field volumetric water content Sugar Tech 123 presenting higher values of SPR (Fig. 7). Overall, the results indicate that compaction increased and macrop- orosity and organic carbon decreased at the superficial layer following SP regardless of the harvesting system; however, SPR increased at H2 for BH. For the 0.20–0.40 m layer, changes in soil physical properties appear to have been less pronounced, but BH showed a significant dif- ference at H2 due to high SPR values (Fig. 7). Discussion Decreased Soil Physical Quality After Successive Sugarcane Harvest Sugarcane harvest machinery are annually used on the same field during the sugarcane cycle (Lisboa et al. 2018; Cavalcanti et al. 2019; Esteban et al. 2019). Studies report that these machines transmit high stress levels to the soil (e.g. Lozano et al. 2013; Jimenez et al. 2021b), with which, when they are greater than the load-bearing capacity, soil compaction is achieved (Keller et al. 2011). Conventional soil tillage is a common practice in sugarcane fields to alleviate compaction as these areas need to be re-planted. However, soil tillage makes the soil loose and therefore susceptible to new compaction due to reduced load-bearing capacity (Saffih-Hdadi et al. 2009; Mendes et al. 2019; de Lima et al. 2021a). In our trial, tillage effects likely influenced the soil physical quality at the plant-cane stage (SP treatment), providing better physical conditions for root development, but reducing soil load-bearing capacity. Our results show that as the first harvest occurs, the machines seem to transmit compressive stress, and soil compaction occurs mainly at the superficial layer, reducing soil macroporosity and increasing the degree of compact- ness and soil penetration resistance regardless of the har- vesting system. Our results reveal that the progressive compaction dur- ing sugarcane annual cultivation reported by Cavalcanti et al. (2020) and Jimenez et al. (2021a) (i.e. after 5–6 years of sugarcane cultivation) occurs as a function of successive harvests and may be a potential factor for the crop yield losses over annual ratoon sugarcane (Otto et al. 2011). However, the detrimental effects on the soil’s physical properties could be more damaging for the plants in the early years of cultivation. For example, Lovera et al. (2021) assessed the sugarcane root system over three agricultural years and showed that the highest volume of roots occurs at the first ratoon (i.e. second year). This indicates that the soil physical condition at the first year of sugarcane cultivation is essential for the establishment of the root system, and strategies to avoid soil compaction due to the impact of harvesting machines in subsequent ratoons should be adopted. The soil physical quality losses were notably greater in the 0.0–0.20-m-depth layer, where the soil achieved loose conditions due to soil structure breakdown (Dexter et al. 1988) by tillage while little changes occurred in the deepest layer (0.20–0.40 m). This means that the superficial layer seems to be quite susceptible to soil physical changes after Table 2 Mean values and standard deviation of measured soil physical indicators at sugarcane planting stage (SC), after the first harvest (H1) and after the second harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems Cultivation stages Harvest system DC (%) SPR (MPa) MaP (m3 m-3) hFC (m 3 m-3) h (m3 m-3) OC (g kg-1) 0.0–0.2 m SP UH 78 ± 2.2 1.61 ± 0.08 0.08 ± 0.012 0.313 ± 0.006 0.172 ± 0.045 21.25 ± 2.98 BH 80 ± 2.1 1.70 ± 0.06 0.08 ± 0.010 0.315 ± 0.004 0.198 ± 0.024 23.33 ± 3.64 H1 UH 89 ± 6.0 1.99 ± 0.20 0.04 ± 0.018 0.292 ± 0.020 0.204 ± 0.069 14.57 ± 3.36 BH 90 ± 4.2 2.00 ± 0.14 0.03 ± 0.012 0.293 ± 0.014 0.159 ± 0.060 13.71 ± 3.13 H2 UH91 ± 4.0 2.77 ± 0.40 0.03 ± 0.010 0.290 ± 0.016 0.171 ± 0.043 14.35 ± 4.21 BH 90 ± 4.0 3.64 ± 0.60 0.03 ± 0.010 0.294 ± 0.014 0.094 ± 0.028 16.09 ± 6.57 0.2–0.4 m SP UH 89 ± 4.0 2.87 ± 0.50 0.07 ± 0.020 0.301 ± 0.008 0.226 ± 0.034 14.26 ± 4.69 BH 93 ± 2.0 3.34 ± 0.28 0.07 ± 0.006 0.294 ± 0.008 0.274 ± 0.019 14.16 ± 3.83 H1 UH 92 ± 2.0 3.14 ± 0.24 0.05 ± 0.008 0.296 ± 0.006 0.220 ± 0.070 10.10 ± 2.83 BH 94 ± 2.0 3.44 ± 0.60 0.05 ± 0.016 0.291 ± 0.013 0.214 ± 0.038 12.01 ± 3.10 H2 UH 93 ± 2.0 4.00 ± 0.88 0.05 ± 0.010 0.291 ± 0.011 0.243 ± 0.053 13.69 ± 7.85 BH 92 ± 6.0 4.30 ± 1.08 0.05 ± 0.022 0.291 ± 0.012 0.211 ± 0.032 7.32 ± 2.12 DC degree of compactness, MaP macroporosity, SPR soil penetration resistance, OC total organic carbon, hFC volumetric water content at field capacity (- 100 hPa), h field volumetric water content Sugar Tech 123 the first sugarcane harvest, as reported by Cavalcanti et al. (2020), whereas the layer immediately below tillage depth seems to have a greater load-bearing capacity, making it more resistant to further soil physical changes. Our results show that even with subsoiling operations, the degree of compactness started higher in the deepest layer, indicating that this operation was not as effective for reducing com- paction as observed in the superficial layer. According to Cavalcanti et al. (2019), de Lima et al. (2021a) and Jimenez et al. (2021a), a residual plough pan is often observed in conventional sugarcane fields, and it severely reduces the soil physical quality due to hardened layer formation (Brus and Van Den Akker 2018). Recently, de Lima et al. (2021a) showed that these layers are highly resistant to penetration and deformation, while Brus and Van Den Akker (2018) report that plough pans are a pre- eminent subsoil compaction problem in intensely mecha- nized fields. Fig. 6 Changes in soil physical properties after sugarcane planting (SP), after the plant- cane harvest (H1) and after the first ratoon harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems at depths of 0.0–0.2 m and 0.2–0.4 m. Bars indicate the standard deviation. DC: degree of compactness; MaP: soil macroporosity; SPR: soil penetration resistance; OC: total organic carbon; hFC: soil volumetric water content at field capacity (- 100 hPa); h: soil field volumetric water content Sugar Tech 123 Which Harvesting System Promotes More Soil Physical Quality Damage? Our results revealed that the changes in the soil physical properties occurred during the SP stages in both harvesting systems, but the increases in soil penetration resistance were noticeably greater at H2 in the BH than in the UH, which was enough to cause differences between harvesting systems. On the other hand, the burned harvesting, adopted in northeastern Brazil, seems to be more harmful to root development than the unburned system, since higher values of penetration resistance were observed. The greatest val- ues of soil penetration resistance in the burned harvesting system are likely associated with the decreased soil water content at H2, caused by evaporation due to the significant reduction of straw on the soil surface (Satiro et al. 2017; Gmach et al. 2019; Santos et al., 2021). Figure 8 shows the changes in the measured field water content as a function of the amount of straw at the 0.0–0.2 m layer (which was most affected) and the associated SPR values. It is possible to note that at H2 the amount of straw was substantially reduced in the BH, considerably increasing the SPR. Both harvesting systems received soil tillage and were harvested without burning at H1, but only the BH received burning at H2, and this considerably reduced the amount of straw on the soil surface (Figs. 4, 8). When the field measurements of soil penetration were performed, water content was considerably lower at the BH site, and this probably increased the soil resistance penetration. Signifi- cant reductions in the water storage due to sugarcane straw removal were also observed by Gmach et al. (2019). Fig- ure 9 shows the SPR measurements as a function of water content. It is possible to note that water content values were lower in the BH, for which the SPR values reached up to around 5.0 MPa at water content\ 0.10 m3 m-3. Various studies report the increase in soil penetration resistance with the reduction of water content (e.g. Busscher 1990; Vaz et al. 2011; de Lima et al. 2021a). The impact of sugarcane surface straw removal on soil penetration resistance was measured by Castioni et al. (2018, 2019). Castioni et al. (2019) observed a continuous increase in the soil penetration resistance with straw removal rates and argued that surface straw contributes to preventing water loss, reducing soil resistance for root development. Chen et al. (2007) report that the straw cover preserves soil water content in sites under higher water deficit, acting as a physical barrier that reduces water losses by evaporation, enhances soil water storage capacity (Castinoni et al. 2018) and reduces soil strength (Vaz et al. 2011). Castioni et al. (2019) verified that the adverse impacts of straw removal on soil physical properties were intensified for straw removal rates lower than 10 Mg ha-1. In our study, the largest differences between the green- mechanized and burned harvesting systems were observed after the second harvest, for which straw was burned in the BH. The lower values of soil penetration resistance found in this study after the second harvest at the UH show that the maintenance of surface straw may have been the key to reducing the high soil strength values as compared to the Fig. 7 Dispersion of the canonical scores associated with variations of the original variables for the overall sampled points (i.e. from row and interrow crop positions) at sugarcane planting stage (SP), after the first harvest (H1) and after the second harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems at depths of 0.0–0.2 m (a) and 0.2–0.4 m (b). Spheres represent 95% confidence for the average of the CAN1 and CAN2 (canonical variables 1 and 2, respectively). DC: degree of compactness; MaP: macroporosity; SPR: soil penetration resistance; OC: total organic carbon; hFC: volumetric water content at field capacity (- 100 hPa). h: field volumetric water content Sugar Tech 123 BH. This practice seems to be a relevant strategy (Castioni et al. 2018; Cherubin et al. 2018, 2021) to promote ade- quate physical conditions for the growth of roots at the beginning of the cultivation years, where roots should have their maximum growth potential (Lovera et al. 2021). Status of Soil Physical Quality Damage Induced by Sugarcane Harvest System Our measurements showed that soil macroporosity was reduced from 0.08 to 0.04 m3 m-3 as sugarcane harvest progressed after the sugarcane planting stage, whereas the degree of compactness increased at around 10% and soil penetration resistance for more than 2 MPa. This indicates that there were better physical conditions for plant growth just after the soil was tilled for planting, and soil physical quality was negatively affected by machinery traffic in successive harvests, corroborating Cavalcanti et al. (2019, 2020) and Jimenez et al. (2021a). Soil macrop- orosity is responsible for governing much of the gas exchange process between the soil and the atmosphere, and well-aired soils can limit the negative effects of soil compaction. Pandey et al. (2021) reported that the lower diffusion of the volatile plant hormone ethylene in limited- aeration soils results in cellular signalling triggered by too much-concentrated ethylene, which stops root growth. According to the authors, ethylene acts as an early warning signal for roots to avoid compacted soils. In our measure- ments, the reduction of macroporosity with the successive sugarcane harvests could apparentlybe a serious limiting factor for root development. Silva et al. (1994), de Lima et al. (2016) and Tormena et al. (2017) suggest that soils should present at least 0.10 m3 m-3 air-filled porosity, which was close to the initial status of soil macroporosity at the sugarcane planting stage. The increased degree of compactness due to harvest reduced to critical levels not only for macroporosity but also considerably increased the soil penetration resistance. Soil penetration resistance was still substantially increased due to the decrease in field water content at H2. Soil mechanical resistance is often reported to cause negative effects on root growth to values higher than 2.0 MPa (Silva et al. 1994; Otto et al. 2011). Soil penetration resistance Fig. 8 Volumetric water content (h) as a function of the amount of sugarcane surface straw and associated values of soil penetration resistance (SPR) after the first ratoon harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems at a depth of 0.0–0.2 m Fig. 9 Soil penetration resistance (SPR) as a function of the soil volumetric water content (h) after the first ratoon harvest (H2) in areas subjected to burned (BH) and unburned (UH) harvest systems at a depth of 0.0–0.2 m Sugar Tech 123 average values of approximately 3.5 MPa were observed in BH, becoming a potential limiting factor of root elongation rate. Bengough et al. (2011) and Moraes et al. (2018) showed that root elongation rate decreases continually as a function of soil penetration resistance so that with each soil penetration resistance gain, the root elongation potential is decreased. Otto et al. (2011) found that sugarcane root growth decreased significantly between 0.75 and 2.0 MPa and was severely restricted when for soil penetration resistance[ 2.0 MPa. Our measurements show that the burned harvesting system would have a greater potential to cause damage to the root elongation (SPR * 3.5 MPa). Furthermore, we highlight that the 2.0 MPa threshold found by Otto et al. (2011) as limiting for sugarcane root growth suggests that the compaction induced by the suc- cessive harvests in the unburned site could also cause damage to the root development. Organic carbon also decreased with successive harvests, but unlike soil physical indicators, the reason is likely the availability of organic matter due to initial filter cake organic fertilization, high temperature and better initial aeration conditions, rather than the field traffic effect. The levels of decrease in organic carbon were similar in the two harvesting systems, showing that burning to facilitate harvesting had little effect on the organic carbon level between the two sugarcane harvest systems. The reduction of organic carbon can be a worrying factor for soil physical quality along ratoon sugarcane stages since organic matter is a key factor for the development of soil structure (Rabot et al. 2018). Implication of the Results for Management Practice Strategies Our results point to progressive soil compaction due to the use of machines in the systems at BH and UH. However, even with the degree of compaction increasing over ratoon harvests, straw maintenance seems to be a promising strategy to alleviate the effects of compaction, since the conservation of soil moisture by straw indicated a strong reduction in the levels of soil penetration resistance. Gmach et al. (2019) showed that residue maintenance, up to 6 Mg ha-1 of straw, seems to be sufficient to prevent excessive water losses and daily variations of soil water content. However, the study of Gmach et al. (2019) was conducted in southeastern Brazil, where the UH is con- solidated. In northeastern Brazil, the use of burning still predominates in the BH due to topographical issues. However, burning has proved to be a non-sustainable practice (Galdos et al. 2009), and alternatives to main- taining crop residues during the initial growth stages of sugarcane should be considered, even in areas with burning practices used at harvesting. The inclusion of crop mulching could even bring other soil benefits besides properly regulating water storage. Studies have reported that excessive straw removal depletes soil organic matter pools (Morais et al. 2020) and reduces stalk yield (Lisboa et al. 2018). Traffic over successive harvests is still a challenge to reduce compaction, and as in our investigation, other studies (Cavalcanti et al. 2019; Jimenez et al. 2021a) have shown the same trend; much because of the harvests that occur over the ratoon sugarcane. In UH, Esteban et al. (2019) observed that controlled traffic provided lower bulk density and higher soil macroporosity, minimizing com- paction and preserving soil physical conditions for roots as well as increases sugarcane yield. In contrast, Jimenez et al. (2021b) estimated that the machines used in BH applied stresses on the soil surface that reached around 800 kPa in a system with a totally disordered traffic sys- tem. The estimates of soil stress performed by Jimenez et al. (2021b) were performed using the soil compaction modells, such as those described by Keller et al. (2007), Stettler et al. (2014) and de Lima et al. (2021b). Via soil compaction modells, Jimenez et al. (2021b) identified that tyre inflation pressure was considerably high (* 650 kPa), which is known to cause compaction mainly at superficial layers (Stettler et al. 2014). However, tyre inflation pres- sure is a controllable tyre parameter, whose impacts on soil compaction could be previously recognized using simula- tions (e.g. de Lima et al. 2021b). Thus, a set of actions to reduce compaction are needed in sugarcane crops, where traffic control and the use of soil compaction modells are strategies to monitor/predict the effects of compaction on soil physical properties. Conclusions The physical properties of tilled soil for sugarcane planting can be negatively affected after the first harvest regardless of the harvesting systems (burned or unburned). Annual successive harvests can increase the degree of compactness at around 10%, considerably reducing soil macroporosity by about 50% and increasing soil penetration resistance above the critical threshold for root development in both harvesting systems. However, the negative effects of the successive harvests may be greater in sites under the burned system mainly because of increases in the pene- tration resistance caused by the reduction soil water content due to the reduced amount of surface straw, which is considerably reduced because of sugarcane burning prac- tice. Urgent compaction mitigation strategies (e.g. traffic control) in the early harvest years need to be adopted to reduce soil pore-space decreases, while straw mulching Sugar Tech 123 practices could be a relevant strategy to reduce water loss and hence soil penetration resistance at the field scale. Acknowledgements We would like to thank the Coordenação de Aperfeiçoamento de Pessoal de Nı́vel Superior (CAPES, Brazil) and the Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq, Brazil) for granting scholarships and financial support. Renato P. de Lima thanks the São Paulo Research Foundation – FAPESP (Process #2020/15783-4) and Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq, Brazil; Process #316751/2021-9). References ABNT - Associação Brasileira de Normas Técnicas. 1990. NBR 12007: Ensaio de adensamento unidimensional, 13p. Rio de Janeiro: ABNT. Asgarzadeh, H., M.R. Mosaddeghi, A.A. Mahboubi, A. Nosrati, and A.R. Dexter. 2010. Soil water availability for plants as quantified by conventional available water, least limiting water range and integral water capacity. Plant and Soil 335: 229–244. https://doi.org/10.1007/s11104-010-0410-6. Barbosa, L.C., P.S.G. Magalhães, R.O. Bordonal, M.R. Cherubin, G.A. Castioni, J. Rossi Neto, and J.L.N. Carvalho.2021. Untrafficked furrowed seedbed sustains soil physical quality in sugarcane mechanized fields. European Journal of Soil Science 72: 2150–2164. https://doi.org/10.1111/ejss.13107. Bengough, A.G., B.M. McKenzie, P.D. Hallett, and T.A. Valentine. 2011. Root elongation, water stress, and mechanical impedance: A review of limiting stresses and beneficial root tip traits. Journal of Experimental Botany 62: 59–68. https://doi.org/ 10.1093/jxb/erq350. Bezerra, S.A., and J.R.B. Cantalice. 2006. Erosão entre sulcos em diferentes condições de cobertura do solo, sob cultivo da cana- de-açúcar. Revista Brasileira De Ciência Do Solo 30: 565–573. https://doi.org/10.1590/S0100-06832006000300016. Brus, D.J., and J.J. Van Den Akker. 2018. How serious a problem is subsoil compaction in the Netherlands? A survey based on probability sampling. The Soil 4: 37–45. https://doi.org/10.5194/ soil-4-37-2018. Busscher, W.J. 1990. Adjustment of flat-tipped penetrometer resis- tance data to a common water content. Transactions of the American Society of Agricultural Engineers 33: 519–524. https://doi.org/10.13031/2013.31360. Carvalho, J.L.N., L.M.S. Menandro, S.G.Q. de Castro, M.R. Cheru- bin, R.O. Bordonal, L.C. Barbosa, L.C. Gonzaga, S. Tenelli, H.C.J. Franco, O.T. Kolln, and G.A. Castioni. 2019. Multiloca- tion straw removal effects on sugarcane yield in south-central Brazil. BioEnergy Research 12: 813–829. https://doi.org/ 10.1007/s12155-019-10007-8. Castioni, G.A.F., M.R. Cherubin, R.O. Bordonal, L.C. Barbosa, L.M.S. Menandro, and E.J.L.N. Carvalho. 2019. Straw removal affects soil physical quality and sugarcane yield in Brazil. BioEnergy Research 12: 789–800. https://doi.org/10.1007/ s12155-019-10000-1. Castioni, G.A., M.R. Cherubin, L.M.S. Menandro, G.M. Sanches, R.O. Bordonal, L.C. Barbosa, and J.L.N.E. Carvalho. 2018. Soil physical quality response to sugarcane straw removal in Brazil: A multi-approach assessment. Soil & Tillage Research 184: 301–309. https://doi.org/10.1016/j.still.2018.08.007. Cavalcanti, R.Q., M.M. Rolim, R.P. de Lima, U.E. Tavares, E.M. Pedrosa, and Cherubin. 2020. Soil physical changes induced by sugarcane cultivation in the Atlantic Forest biome, northeastern Brazil. Geoderma 370: 114353. https://doi.org/10.1016/ j.geoderma.2020.114353. Cavalcanti, R.Q., M.M. Rolim, R.P. de Lima, U.E. Tavares, E.M. Pedrosa, and I.F. Gomes. 2019. Soil physical and mechanical attributes in response to successive harvests under sugarcane cultivation in Northeastern Brazil. Soil & Tillage Research 189: 140–147. https://doi.org/10.1016/j.still.2019.01.006. Chen, S.Y., X.Y. Zhang, D. Pei, H.Y. Sun, and S.L. Chen. 2007. Effects of straw mulching on soil temperature, evaporation and yield of winter wheat: Field experiments on the North China Plain. Annals of Applied Biology 150: 261–268. https://doi.org/10.1111/j.1744-7348.2007.00144.x. Cherubin, M.R., R.O. Bordonal, G.A. Castioni, E.M. Guimarães, I.P. Lisboa, L.A. Moraes, and J.L. Carvalho. 2021. Soil health response to sugarcane straw removal in Brazil. Industrial Crops and Products 163: 113315. https://doi.org/10.1016/ j.indcrop.2021.113315. Cherubin, M.R., D.M.S. Oliveira, B.J. Feigl, L.G. Pimentel, I.P. Lisboa, M.R. Gmach, and C.C. Cerri. 2018. Crop residue harvest for bioenergy production and its implications on soil functioning and plant growth: A review. Scientia Agricola 75: 255–272. https://doi.org/10.1590/1678-992x-2016-0459. Conab – Companhia Nacional de Abastecimento. 2021. Acompan- hamento da safra brasileira de cana-de-açúcar. v. 7-Safra 2020/21, n.4, Quarto Levantamento, Brası́lia. https://www. conab.gov.br/info-agro/safras/cana (accessed 17.01.2022). de Lima, R.P., A.R. da Silva, A.P. da Silva, T.P. Leão, and M.R. Mosaddeghi. 2016. soilphysics: An R package for calculating soil water availability to plants by different soil physical indices. Computers and Electronics in Agriculture 120: 63–71. https://doi.org/10.1016/j.compag.2015.11.003. de Lima, R.P., M.M. Rolim, D.D. Dantas, A.R. da Silva, and E.A. Mendonça. 2020. Compressive properties and least limiting water range of plough layer and plough pan in sugarcane fields. Soil Use and Management 23: 533–544. https://doi.org/ 10.1111/sum.12601. de Lima, R.P., A.R. da Silva, and Á.P. da Silva. 2021. soilphysics: An R package for simulation of soil compaction induced by agricultural field traffic. Soil & Tillage Research 206: 104824. https://doi.org/10.1016/j.still.2020.104824. Dexter, A.R., R. Horn, and W.D. Kemper. 1988. Two mechanisms for age-hardening of soil. European Journal of Soil Science 39: 163–175. https://doi.org/10.1111/j.1365-2389.1988.tb01203.x. Esteban, D.A.A., Z.M. de Souza, C.A. Tormena, L.H. Lovera, E.L. de Souza, I.N. de Oliveira, and N.R. de Paula. 2019. Soil compaction, root system and productivity of sugarcane under different row spacing and controlled traffic at harvest. Soil & Tillage Research 187: 60–71. https://doi.org/10.1016/ j.still.2018.11.015. Galdos, M.V., C.C. Cerri, and C.E.P. Cerri. 2009. Soil carbon stocks under burned and unburned sugarcane in Brazil. Geoderma 153: 347–352. https://doi.org/10.1016/j.geoderma.2009.08.025. Gee, G.W., and D. Or. 2002. Particle size analysis. In Methods of soil analysis. Physical methods. Soil science, ed. J.H. Dane and G.C. Topp, 255–293. Madison: Society of America. https://doi.org/ 10.2136/sssabookser5.4.c12. Gmach, M.R., F.V. Scarpare, M.R. Cherubin, I.P. Lisboa, A.B. dos Santos, C.P. Cerri, and C.C. Cerri. 2019. Sugarcane straw removal effects on soil water storage and drainage in southeast- ern Brazil. Journal of Soil and Water Conservation 745: 466–476. https://doi.org/10.2489/jswc.74.5.466. Horn, R., D. Holthusen, J. Dörner, A. Mordhorst, and H. Fleige. 2019. Scale-dependent soil strengthening processes-what do we need to know and where to head for a sustainable environment? Soil & Tillage Research 195: 104388. https://doi.org/10.1016/j.still. 2019.104388. Sugar Tech 123 https://doi.org/10.1007/s11104-010-0410-6 https://doi.org/10.1111/ejss.13107 https://doi.org/10.1093/jxb/erq350 https://doi.org/10.1093/jxb/erq350 https://doi.org/10.1590/S0100-06832006000300016 https://doi.org/10.5194/soil-4-37-2018 https://doi.org/10.5194/soil-4-37-2018 https://doi.org/10.13031/2013.31360 https://doi.org/10.1007/s12155-019-10007-8 https://doi.org/10.1007/s12155-019-10007-8 https://doi.org/10.1007/s12155-019-10000-1 https://doi.org/10.1007/s12155-019-10000-1 https://doi.org/10.1016/j.still.2018.08.007 https://doi.org/10.1016/j.geoderma.2020.114353 https://doi.org/10.1016/j.geoderma.2020.114353 https://doi.org/10.1016/j.still.2019.01.006 https://doi.org/10.1111/j.1744-7348.2007.00144.x https://doi.org/10.1016/j.indcrop.2021.113315 https://doi.org/10.1016/j.indcrop.2021.113315 https://doi.org/10.1590/1678-992x-2016-0459 https://www.conab.gov.br/info-agro/safras/cana https://www.conab.gov.br/info-agro/safras/cana https://doi.org/10.1016/j.compag.2015.11.003 https://doi.org/10.1111/sum.12601 https://doi.org/10.1111/sum.12601 https://doi.org/10.1016/j.still.2020.104824 https://doi.org/10.1111/j.1365-2389.1988.tb01203.x https://doi.org/10.1016/j.still.2018.11.015 https://doi.org/10.1016/j.still.2018.11.015 https://doi.org/10.1016/j.geoderma.2009.08.025 https://doi.org/10.2136/sssabookser5.4.c12 https://doi.org/10.2136/sssabookser5.4.c12 https://doi.org/10.2489/jswc.74.5.466 https://doi.org/10.1016/j.still.2019.104388 https://doi.org/10.1016/j.still.2019.104388 Jimenez, K.J., M.M. Rolim, R.P. de Lima, R.C. Cavalcanti, Ê.F. Silva, and E.P. Pedrosa. 2021a. Soil physical indicators of a sugarcane field subjected to successive mechanised harvests. Sugar Tech 23: 1–8. https://doi.org/10.1007/s12355- 020-00916-w. Jimenez, K.J., M.M. Rolim, I.F. Gomes, R.P. de Lima, L.L. Berrı́o, and P.F. Ortiz. 2021b. Numerical analysis applied to the study of soil stress and compaction due to mechanised sugarcane harvest. Soil & Tillage Research 206: 104847. https://doi.org/10.1016/j.still.2020.104847. Júnnyor, W.D.S.G., E. Diserens, I.C. de Maria, C.F. Araujo-Junior, C.V.V. Farhate, and Z.M. de Souza. 2019. Prediction of soil stresses and compaction due to agricultural machines in sugar- cane cultivation systems with and without crop rotation. Science of the Total Environment 681: 424–434. https://doi.org/10.1016/ j.scitotenv.2019.05.009. Keller, T., P. Défossez, P. Weisskopf, J. Arvidsson, and G. Richard. 2007. SoilFlex: A model for prediction of soil stresses and soil compaction due to agricultural field traffic including a synthesis of analytical approaches. Soil & Tillage Research 93: 391–411. https://doi.org/10.1016/j.still.2006.05.012. Keller, T., M. Lamandé, P. Schjønning, and A.R. Dexte. 2011. Analysis of soil compression curves from uniaxial confined compression tests. Geoderma 163: 13–23. https://doi.org/ 10.1016/j.geoderma.2011.02.006. Keller, T., M. Sandin, T. Colombi, R. Horn, and D. Or. 2019. Historical increase in agricultural machinery weights enhanced soil stress levels and adversely affected soil functioning. Soil & Tillage Research 194: 104293. https://doi.org/10.1016/ j.still.2019.104293. Kotlar, A.M., Q.D. van Lier, H.E. Andersen, T. Nørgaard, and B.V. Iversen. 2020. Quantification of macropore flow in Danish soils using near-saturated hydraulic properties. Geoderma 375: 114479. https://doi.org/10.1016/j.geoderma.2020.114479. Lisboa, I.P., M.R. Cherubin, R.P. de Lima, C.C. Cerri, L.S. Satiro, B.J. Wienhold, and C.E. Cerri. 2018. Sugarcane straw removal effects on plant growth and stalk yield. Industrial Crops and Products 111: 794–806. https://doi.org/10.1016/j.indcrop. 2017.11.049. Lovera, L.H., Z.M. de Souza, D.A.A. Esteban, I.N. de Oliveira, C.V.V. Farhate, E.L.S. Lima, and A.R. Panosso. 2021. Sugar- cane root system: Variation over three cycles under different soil tillage systems and cover crops. Soil & Tillage Research 208: 104866. https://doi.org/10.1016/j.still.2020.104866. Lozano, N., M.M. Rolim, V.S. Oliveira, U.E. Tavares, and E.M.R. Pedrosa. 2013. Evaluation of soil compaction by modeling field vehicle traffic with SoilFlex during sugarcane harvest. Soil & Tillage Research 129: 61–68. https://doi.org/10.1016/ j.still.2013.01.010. Mendes, P., M.M. Rolim, R.P. de Lima, E.M. Pedrosa, U.E. Tavares, and D.E. Simões Neto. 2019. Estimation of precompression stress in an Ultisol cultivated with sugarcane. Revista Brasileira De Engenharia Agrı́cola e Ambiental 23: 336–340. https://doi.org/10.1590/1807-1929/agriambi.v23n5p336-340. Moraes, M.T., A.G. Bengough, H. Debiasi, J.C. Franchini, R. Levien, A. Schnepf, and D. Leitner. 2018. Mechanistic framework to link root growth models with weather and soil physical properties, including example applications to soybean growth in Brazil. Plant and Soil 428: 67–92. https://doi.org/10.1007/s11104- 018-3656-z. Morais, M.C., M. Siqueira-Neto, H.P. Guerra, L.S. Satiro, A. Soltangheisi, C.E. Cerri, and M.R. Cherubin. 2020. Trade-offs between sugarcane straw removal and soil organic matter in Brazil. Sustainability 12: 9363. https://doi.org/10.3390/ su12229363. Otto, R., A.D. Silva, H.C. Franco, E.D. Oliveira, and P.C. Trivelin. 2011. High soil penetration resistance reduces sugarcane root system development. Soil & Tillage Research 117: 201–210. https://doi.org/10.1016/j.still.2011.10.005. Pandey, B.K., G. Huang, R. Bhosale, S. Hartman, C.J. Sturrock, L. Jose, and M.J. Bennett. 2021. Plant roots sense soil compaction through restricted ethylene diffusion. Science 371: 276–280. https://doi.org/10.1126/science.abf3013. R Core Team, 2020. R: A Language and Environment for Statistical Computing 605 [internet]. Vienna, Austria: R Foundation for Statistical Computing. Available at: 606 http://www.Rproject. org. Accessed 12.09.20. Rabot, E., M. Wiesmeier, S. Schlüter, and H.J. Vogel. 2018. Soil structure as an indicator of soil functions: A review. Geoderma 314: 122–137. https://doi.org/10.1016/j.geoderma.2017.11.009. Saffih-Hdadi, K., P. Défossez, G. Richard, Y.J. Cui, A. Tang, and V. Chaplain. 2009. A method for predicting soil susceptibility to the compaction of surface layers as a function of water content and bulk density. Soil & Tillage Research 105: 96–103. https://doi.org/10.1016/j.still.2009.05.012. Santos, A.K.B.D., G.V. Popin, M.R. Gmach, M.R. Cherubin, M. Siqueira Neto, and C.E. Cerri. 2021. Changes in soil temperature and moisture due to sugarcane straw removal in central-southern Brazil. Scientia Agricola 79: e20200309. https://doi.org/10.1590/ 1678-992x-2020-0309. Satiro, L.S., M.R. Cherubin, J.L. Safanelli, I.P. Lisboa, P.R. da Rocha Junior, C.E. Cerri, and C.C. Cerri. 2017. Sugarcane straw removal effects on Ultisols and Oxisols in south-central Brazil. Geoderma Regional 11: 86–95. https://doi.org/10.1016/ j.geodrs.2017.10.005. Silva, A.P., B.D. Kay, and E. Perfect. 1994. Characterization of the least limiting water range. Soil Science Society of America Journal 58: 1775–1781. https://doi.org/10.2136/sssaj1994. 03615995005800060028x. Soil Survey Staff. 2014. Keys to Soil Taxonomy. Twelth. Washington, DC: NRCS. Stettler, M., T. Keller, P. Weisskopf, M. Lamandé, P. Lassen, and P. Schjønning. 2014. Terranimo�-a web-based tool for evaluating soil compaction. Landtechnik 69: 132–138. Stolf, R., D.K. Cassel, L.D. King, and K. Reichardt. 1998. Measuring mechanical impedance in clayey gravelly soils. Revista Brasi- leira De Ciência Do Solo 22: 189–196. https://doi.org/10.1590/ S0100-06831998000200003. Teixeira, P.C., G.K. Donagemma, A. Fontana, and W.G. Teixeira. 2017. Manual de Métodos de Análise de Solo. Embrapa, Brası́lia, pp. 573p. Tormena, C.A., D.L. Karlen, S. Logsdon, and M.R. Cherubin. 2017. Corn stover harvest and tillage impacts on near-surface soil physical quality. Soil & Tillage Research 166: 122–130. https://doi.org/10.1016/j.still.2016.09.015. Vaz, C.M., J.M. Manieri, I.C. De Maria, and M. Tuller. 2011. Modeling and correction of soil penetration resistance for varying soil water content. Geoderma 166: 92–101. https://doi.org/10.1016/j.geoderma.2011.07.016. Yadav, R.L., and S. Solomon. 2006. Potential of developing sugarcane by-product-based industries in India. Sugar Tech 8: 104–111. https://doi.org/10.1007/BF02943642. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Sugar Tech 123 https://doi.org/10.1007/s12355-020-00916-w https://doi.org/10.1007/s12355-020-00916-w https://doi.org/10.1016/j.still.2020.104847 https://doi.org/10.1016/j.still.2020.104847 https://doi.org/10.1016/j.scitotenv.2019.05.009 https://doi.org/10.1016/j.scitotenv.2019.05.009 https://doi.org/10.1016/j.still.2006.05.012 https://doi.org/10.1016/j.geoderma.2011.02.006 https://doi.org/10.1016/j.geoderma.2011.02.006 https://doi.org/10.1016/j.still.2019.104293 https://doi.org/10.1016/j.still.2019.104293 https://doi.org/10.1016/j.geoderma.2020.114479 https://doi.org/10.1016/j.indcrop.2017.11.049 https://doi.org/10.1016/j.indcrop.2017.11.049 https://doi.org/10.1016/j.still.2020.104866 https://doi.org/10.1016/j.still.2013.01.010 https://doi.org/10.1016/j.still.2013.01.010 https://doi.org/10.1590/1807-1929/agriambi.v23n5p336-340 https://doi.org/10.1007/s11104-018-3656-z https://doi.org/10.1007/s11104-018-3656-z https://doi.org/10.3390/su12229363 https://doi.org/10.3390/su12229363 https://doi.org/10.1016/j.still.2011.10.005 https://doi.org/10.1126/science.abf3013 http://www.Rproject.org http://www.Rproject.org https://doi.org/10.1016/j.geoderma.2017.11.009 https://doi.org/10.1016/j.still.2009.05.012 https://doi.org/10.1590/1678-992x-2020-0309 https://doi.org/10.1590/1678-992x-2020-0309 https://doi.org/10.1016/j.geodrs.2017.10.005 https://doi.org/10.1016/j.geodrs.2017.10.005 https://doi.org/10.2136/sssaj1994.03615995005800060028x https://doi.org/10.2136/sssaj1994.03615995005800060028x https://doi.org/10.1590/S0100-06831998000200003 https://doi.org/10.1590/S0100-06831998000200003https://doi.org/10.1016/j.still.2016.09.015 https://doi.org/10.1016/j.geoderma.2011.07.016 https://doi.org/10.1007/BF02943642 A Soil Physical Assessment Over Three Successive Burned and Unburned Sugarcane Annual Harvests Abstract Introduction Material and Methods Experimental Site Characterisation Experimental Scenarios, Soil Sampling and Measurements Statistical Analysis Results Discussion Decreased Soil Physical Quality After Successive Sugarcane Harvest Which Harvesting System Promotes More Soil Physical Quality Damage? Status of Soil Physical Quality Damage Induced by Sugarcane Harvest System Implication of the Results for Management Practice Strategies Conclusions Acknowledgements References