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Scientia Agricola

On-line version ISSN 1678-992X

Sci. agric. (Piracicaba, Braz.) vol.76 no.2 Piracicaba March/Apr. 2019

http://dx.doi.org/10.1590/1678-992x-2017-0139 

Soils and Plant Nutrition

Soil mesofauna in consolidated land use systems: how management affects soil and litter invertebrates

Maurício Rumenos Guidetti Zagatto1  * 
http://orcid.org/0000-0002-8686-6934

Luiz Antônio Zanão Júnior2 
http://orcid.org/0000-0003-4159-1380

Arthur Prudêncio de Araújo Pereira1 
http://orcid.org/0000-0001-9402-3243

German Estrada-Bonilla3 
http://orcid.org/0000-0001-8742-5957

Elke Jurandy Bran Nogueira Cardoso1 
http://orcid.org/0000-0003-4280-2514

1Universidade de São Paulo/ESALQ - Depto. de Ciência do Solo, Av. Pádua Dias, 11 - 13418-900 - Piracicaba, SP - Brasil

2Instituto Agronômico do Paraná - Depto. de Solos, Rod. PRT 163, km 188 - 85825-000 - Santa Tereza do Oeste, PR - Brasil

3Corporación Colombiana de Investigación Agropecuaria/AGROSAVIA - Tibaitatá - 250047 - Mosquera - Colombia


ABSTRACT:

Soil mesofauna consists of small invertebrates that live in the soil or litter and are sensitive to climatic conditions, management systems, plant cover and physical or chemical soil attributes. These organisms are active in the cycling of nutrients, since they fragment the organic matter hereby accelerating microbial decomposition. The aim of this study was to evaluate the invertebrate community in no-tillage, conventional tillage, minimum tillage and secondary forest in regeneration to determine the relationship of mesofauna to litter, soil attributes, management and seasonality. Therefore, ten soil samples in each system and eight litter samples in no-tillage and the forest were taken over four seasons. These samples remained in Berlese extractors for seven days for quantification and identification of mesofauna. For each fauna sample, soil samples were collected for chemical analysis. Next, diversity indices and richness were calculated and multivariate analyses were used to establish relationships between the mesofauna, soil attributes and management. In the soil, mites were more abundant in the agricultural systems than in the forest, but the springtails, sensitive to low moisture and high temperature, were more abundant in the forest. Diversity and richness were higher in soil from the forest than under other systems. In no-tillage, there was a lower density of soil mesofauna, however, under this system, many invertebrates live in litter, since litter is the main food resource for them. In forest litter, we found lower invertebrate density and higher diversity than in no-tillage. Carbon, basic cations, pH, Al and V% were the attributes that best explained fauna variability in the systems.

Keywords: diversity; no-tillage; multivariate analysis; fauna density; mites

Introduction

Soil mesofauna consist of small invertebrates between 0.2 and 2 mm in body length that live in soil or litter. These invertebrates, mainly mites and collembolans, actively control nutrient cycling through frequent predation on nematodes, protozoa and fungi. Most of the mesofauna interactions with microorganisms are mutualistic, since these invertebrates fragment and moisten the plant residue when passing through their gastrointestinal tract, which are then excreted as fecal pellets (Lavelle, 1997; Moreira et al., 2008). These pellets, when in contact with the soil, are colonized by chemio-organotrophic microorganisms, which release mineral nutrients into the soil, especially ammonium ions, which can be absorbed by plants (Hendrix, 2000).

When soil is constantly revolved and uncovered and machine traffic is intense, we expect a lower abundance and diversity of soil organisms, due to the loss of soil and nutrients resulting in a decrease of niches and habitats for soil invertebrates (Aquino et al., 2008). In natural environments, we expect greater diversity and abundance of soil organisms than in agricultural crops, because fluctuations in temperature and moisture in soil are smaller and there is a greater diversity of coexisting plant species. A high diversity of litter in different stages of decomposition provides a greater diversity of niches for occupation by soil organisms (Makulec et al., 2006; Morais et al., 2010). Therefore, we assume that conservationist managements, like minimum tillage and no-tillage systems may present higher density and diversity of soil invertebrates than conventional systems of production.

In this study, our aims were to establish possible mesofaunal relationships with soil chemical attributes, litter, soil management and seasonality and to verify the density and diversity of soil mesofauna in no-tillage, minimum tillage, conventional tillage and native forest in order to understand how consolidated management systems and/or seasonality alter the community of soil invertebrates.

Materials and Methods

The study site was located in the region of Campos Gerais, Ponta Grossa, PR, at latitude 25°27′ S and longitude 49°93′ W at 875 m of elevation. According to the Köppen climate classification, the region has a subtropical Cfb climate, characterized by average annual temperatures close to 21 °C, with a daily thermal amplitude between 9 °C and 13 °C, and total annual rainfall between 1,300 and 1,800 mm, with uniformly distributed rainfall throughout the year (Caviglione et al., 2000).

For the present study, the following three types of land use systems were considered that were maintained for 30 years in a Geric Ferralsol (rhodic) according to FAO (FAO, 2006): no-tillage (NT), conventional tillage (CT), minimum tillage (MT) and a native forest (NF), which was used as a reference. The CT was plowed with a disk and two light harrows, while the MT was plowed with a Rome grade (to revolve and incorporate organic residues only in the planting line) and two light harrows. Under no-till, there was no soil mobilization.

The dimensions of the experimental plots under CT and MT managements were 100 × 50 m, and, under no-tillage, 100 × 100 m, with slopes of 7.7 and 8 %, respectively. Under these agricultural systems we have performed the following crop succession since 1995: maize - black oat - wheat - black oat - vetch (Table 1). Under all these systems, herbicides were frequently applied to control weed proliferation, especially Digitaria horizontalis and Brachiaria plantaginea. The NF was a remnant of mixed ombrophilous forest and occupied an adjacent area with 100 × 100 m.

Table 1 Crop succession since 1995 and history of agrochemical use in no-tillage (NT), minimum tillage (MT) and conventional tillage (CT). 

Crops Agrochemicals
Year 1 Maize 300 kg ha−1 NPK (4-30-10).
Black oat 80 kg ha−1 of seeds; without fertilization; desiccated with fosfonometil glycine in NT; and trifluralin application in CT and MT after soil plowing.
Soybean 300 kg ha−1 NPK (0-16-12); fomesafem and cletodim application.
Year 2 Wheat 300 kg ha−1 NPK (4-30-10); desiccated with fosfonometil glycine in NT; and trifluraline and metribuzim application in CT and MT after soil plowing.
Soybean 300 kg ha−1 NPK (0-16-12); fomesafen and cletodim application.
Black oat and vetch 32 kg ha−1 of black oat seeds and 44 kg ha−1 (of vetch seeds; desiccated with fosfonometil glycine in NT; and atrazine and S-metolachlor application in CT and MT after soil plowing.

Four samplings were taken from each land use system in winter, spring, summer and autumn respectively, from Aug 2010 to May 2011 (Figure 1). In winter, the areas were seeded with black oats, while in spring oats were toppled and soybeans sown. In summer, the areas were cultivated with soybeans and in autumn, soybeans were harvested. NT presented more than 15 cm of homogeneous litter, while CT presented no litter. MT presented a diffused and thin layer of litter over the soil and NF presented approximately 10 cm of heterogeneous litter.

Figure 1 Rainfall and mean monthly temperatures during the sampling period of soil and litter from Aug 2010 to May 2011, in Ponta Grossa, in the state of Paraná, Brazil. Sampling period: Aug (winter), Nov (spring), Feb (summer) and May (autumn). 

Under each management system and in the forest, two parallel transects were drawn, disregarding the edge of the plots, maintaining a distance of 20 m from the border. Five equidistant soil samples with metal rings were collected (5 cm diameter and 5 cm height) in each transect, totaling ten soil samples per land use system. Simultaneously, in NF and NT, eight samples of litter were collected from a wooden square delimiting an area of 25 × 25 cm, to evaluate soil mesofauna abundance and diversity.

At each sampling point, soil samples were also taken for chemical analyses, which were carried out according to Embrapa (2011). These samples were sieved (2 mm mesh) and homogenized for subsequent determination for the following parameters: pH in calcium chloride (CaCl2), Phosphorus (P) (extraction with Mehlich 1), Potassium (K) and Sodium (Na) (Extraction with dilute HCl), Calcium (Ca), Magnesium (Mg) and Aluminum (Al) (extraction with 1N KCl), potential acidity (H+Al) (extraction with calcium acetate). Total organic carbon was determined by wet oxidation of the organic matter. The cation exchange capacity (CEC) was calculated at pH 7, the saturation of the cationic complex by bases (V%) and by aluminum (m%), and the sum of bases (SB).

Mesofauna was extracted from the soil and litter using Berlese funnels. The samples were maintained for seven days in these funnels and then the invertebrates were counted and identified under the stereomicroscope (Aquino et al., 2006). All the invertebrates that passed through the 2 mm mesh of Berlese funnels were considered mesofauna since they measured between 0.2 and 2 mm in body diameter (Lavelle, 1997; Hendrix, 2000). Subsequently, the density of soil invertebrates (individuals m−2) was calculated based on the dimensions of the sampling areas (metal rings for soil and wooden squares for litter). In order to evaluate the invertebrate diversity, the richness (mean number of total orders sampled) and Simpson's diversity index were calculated using the equation: S = 1-D (Magurran, 2004). Orders that accounted for less than 5 % of the total density in soil or litter were categorized as “others”. All sampled orders are shown in tables of absence and presence for both soil and litter.

The Kolmogorov-Smirnov test was used to verify the normality of the data. When data were not normal, we used the transformation log (x + 1) to reach the normal distribution. The chemical and biological attributes were analyzed using the analysis of variance and Tukey's test (p < 0.05) for comparison of means. The redundancy analysis (RDA) associated with the Monte Carlo test (p < 0.05) for the two first axes of analysis and each chemical variable was used to establish the correlations between chemical and biological attributes of the soil and their respective managements. Biological and chemical attributes were defined as response and explanatory variables, respectively.

Results and Discussion

Soil chemical analyses

NT and NF had higher carbon content than other land use systems. These systems may present a complex food chain due mainly to the higher accumulation of litter, which results in lower soil losses due to erosion, lower carbon losses as CO2, and consequently, accumulation of C in the soil surface layers (Mafra et al., 2008; Siqueira Neto et al., 2009) (Table 2), which could serve as food to diverse soil organisms.

Table 2 Chemical attributes of soil in 0-5 cm layer under conventional tillage (CT), no-tillage (NT), minimum tillage (MT) and in native forest (NF) in Ponta Grossa, in the state of Paraná, Brazil. 

Attributes CT NT MT NF
C g dm−3 *27.63 b 39.76 a 31.63 b 46.24 a
P mg dm−3 7.30 bc 21.58 a 8.68 b 4.16 c
Al3+ 0.48 b 0.53 ab 0.42 b 1.13 a
H+Al 8.17 b 10.18 ab 8.24 b 11.97 a
Ca2+ 2.57 a 3.31 a 2.96 a 3.67 a
Mg2+ cmolc dm−3 1.08 b 1.35 ab 1.22 ab 1.67 a
K 0.22 ab 0.24 ab 0.20 b 0.32 a
SB 3.87 a 4.91 a 4.39 a 5.67 a
CEC 12.18 c 15.09 b 12.63 c 17.65 a
V % 33.15 a 32.42 a 34.50 a 32.07 a
m % 11.58 a 10.37 a 10.01 a 22.08 a
pH 4.34 a 4.33 a 4.4 a 4.24 a

*Means followed by the same letter In line do not differ between land use systems. Tukey's test (p < 0.05). V% = saturation of the cationic complex by bases; m% = saturation of the cationic complex by aluminum; SB = Sum of bases; CEC = cation exchange capaity.

In the agricultural sites, the use of mineral fertilization was frequent (Table 1), which increased P levels when compared to soils with native vegetation (Table 2) which had a higher K content than the evaluated agricultural systems, possibly due to the high leaching potential of K. This element is very often lost when the crop is removed (Pathak et al., 2010; Rosolem and Steiner, 2017).

In the forest soils, where no herbicide and no fertilization are applied, Al levels were higher compared to the other agricultural systems (Table 2), since Al is one of the most persistent elements in highly weathered tropical soils without fertilization (Silva et al., 2017). Due to its high potential acidity, NF also presented a higher potential CEC than the other land use systems evaluated (Table 2).

Mesofauna in soil

In the soil, a higher density of collembolans in NF and MT than in NT was found (Table 3). These invertebrates are very dependent on soil moisture and take advantage of the pores and cracks to burrow into the soil profile (Hendrix, 2000; Choi et al., 2006). In the category “other invertebrates”, NF had a higher density than other systems, most likely due to greater plant diversity. Consequently, organic compounds at different stages of decomposition may offer multiple niches for colonization by a variety of species. Additionally, a lower mite density was found in samples in NF than in the other agricultural systems. All these findings contributed to higher values of richness and Simpson's diversity in NF. The higher diversity in forest is probably due to the higher diversity of habitats and niches in this system, which allow for higher uniformity and richness of mesofauna groups than in agricultural systems.

Table 3 Soil mesofauna density (invertebrates m−2) and diversity in soil and litter under no-tillage (NT), minimum tillage (MT), conventional tillage (CT) and in native forest (NF) in Ponta Grossa, in the state of Paraná, Brazil. 

Soil
NF NT CT MT
Acarina *4,318 b 7,541 a 6,865 a 9,223 a
Collembola 1,975 a 535 b 1,557 ab 1,783 a
Others 2,191 a 675 b 552 b 510 b
Total 8,739 a 9,134 a 9,271 a 11,707 a
Simpson's Index 0.57 a 0.26 b 0.37 b 0.33 b
Richness 7.3 a 5.1 b 4.9 b 5.1 b
Litter
Acarina 316 b 1,657a
Collembola 135 b 431 a
Isopoda 55 a 5 b
Hymenoptera 105 a 33 a
Others 174a 146 a
Total 680 b 2,238 a
Simpson's Index 0.68 a 0.46 b
Richness 9.5 a 10.0 a

*Means followed by the same letter in line do not differ between land use systems. Tukey's test (p < 0.05).

In winter, when the areas were cultivated with black oats, a higher density of soil mesofauna in MT (19,771 ind m−2) relative to NT (7,032 ind m−2) was found. In spring, when soybean was budding, a higher density of soil mesofauna in NT was observed (20,637 ind m−2) than in forest (9,631 ind m−2) and especially in CT (3,567 ind m−2). The increase in soil mesofauna density in MT and NT is mostly due to the higher density of the Acarina and Collembola sampled during these seasons. In summer, when soybeans were completely developed, there was a reduction in the density of soil mesofauna in all systems, and no statistical differences were observed. On the other hand, in autumn, after the soybean harvest, a higher density of soil mesofauna was established in MT relative to NT (Figure 2).

Figure 2 Soil mesofauna density in soil under no-tillage (NT), minimum tillage (MT), conventional tillage (CT) and in native forest (NF) in Ponta Grossa, in the state of Paraná, Brazil. Different capital letters indicate statistical differences between seasons, while small letters indicate statistical differences between land use systems (Tukey's test p < 0.05). 

A reduction in soil mesofauna density going from winter into summer was observed, except in NT. During spring, after soybean seeding, this system had the highest density of soil mesofauna (20,637 ind m−2). In autumn, after the soybean harvest, there was an increase in soil mesofauna density in all land use systems (Figure 2).

The orders Acariña, Collembola and Psocoptera were present in soil for all systems evaluated during the four sampling seasons. Amphipoda were detected only in soil samples in NF (Table 4). These microcrustaceans live commonly in terrestrial environments, and are usually associated with high soil moisture. Their presence is related to soil respiration rates, presumably due to the consumption of organic compounds and the physical effects of their locomotion, which causes a greater clearance of soil and litter particles, opening spaces in the soil surface, which helps diffuse CO2 into the atmosphere (Friend and Richardson, 1986).

Table 4 Invertebrate orders identified in soil under no-tillage (NT), conventional tillage (CT), minimum tillage (MT) and in native Forest (NF) in four seasons in Ponta Grossa, in the state of Paraná, Brazil. 

Seasons
Orders Winter (Richness=13) Spring (Richness=13) Summer (Richness=11) Autumn (Richness=13)
NT CT MT NF NT CT MT NF NT CT MT NF NT CT MT NF
Acarina X X X X X X X X X X X X X X X X
Collembola X X X X X X X X X X X X X X X X
Diplura X X X X X
Chilopoda X X X X X X X X
Protura X X X X X X X X X
Psocoptera X X X X X X X X X X X X X X X X
Coleoptera X X X X X X X X
Isopoda X
Hymenoptera X X X X X X X X X X
Araneae X X X X X
Simphyla X X X X X X
Thysanoptera X X X X X X
Heteroptera X X X X X X
Pauropoda X X
Diplopoda X X X
Isopoda X X
Blattodea X X
Amphipoda X
Richness 6 10 6 10 8 6 5 9 6 8 7 8 6 7 7 13

Thirteen orders of soil invertebrates were detected in winter, as well as in spring and autumn, and eleven orders in summer. The highest richness was present in NF, with thirteen identified orders and the lowest in NT and MT, with only six identified orders (Table 4).

Redundancy analysis explained 47 % of the data variation, with 34 % of the data variation explained by the first two axes. Among these, 99 % were explained by the relationship between the mesofauna groups and the chemical soil attributes. The Monte Carlo permutation was significant (p < 0.05) for the first two axes and for all axes of the RDA. The only significant explanatory variables were V% (saturation of the CEC by basic cations) and available Al in soil solution (Figure 3).

Figure 3 Redundancy Analysis (RDA) with soil mesofauna abundance and diversity, like response variables (blue letters) and chemical attributes, like explanatory variables (red letters) in no-tillage (NT), minimum tillage (MT), conventional tillage (CT) and native forest (NF) in Ponta Grossa, in the state of Paraná, Brazil. 

The order Acarina and the total fauna abundance, represented mostly by mites, correlated positively with pH, V%, calcium and with the sum of bases (Figure 3), since the mites were the dominant group in all the land use systems studied and they prefer alkaline environments for development (Pérez et al., 2014).

Collembola, “other invertebrates”, species richness, and Simpson's diversity correlated positively with Carbon, Aluminum, potential acidity and Potassium contents in soil, especially in samples from native forest (Figure 3). Soils under native vegetation are usually poor in mineral nutrients and present high acidity, since fertilizers are not applied and pH is not corrected. However, these soils have varied and numerous niches and high microbial activity, which support higher diversity of soil fauna than agricultural sites (Rosa et al., 2015).

Additionally, collembolans prefer fresh organic matter as a food source (Lavelle, 1997; Hendrix, 2000) and they are positively correlated with C content. Different carbon sources deposited on the soil at various stages of decomposition can lead to the development of a richer and more diversified community of soil invertebrates than environments maintained under agricultural systems (Moço et al., 2005; Battirola et al., 2007). The soil covered by leaf litter in forest systems promotes higher soil moisture and lower temperature than soil under agricultural systems (Achat et al., 2015) which explains the higher occurrence of collembolans in NF, since these conditions favor collembolan reproduction and development (Choi et al., 2006).

Mesofauna in litter

In the litter, a higher total density of mesofauna was found in NT than in NF, mainly composed of mites and springtails (five and three times higher in NT, respectively), but there was a reduction in diversity (Simpson's index) in NT relative to NF (Table 3).

The density of Isopoda, on the other hand, was higher in NF (ten times higher in NF than in NT) (Table 3). These crustaceans correlated with increasing litter moisture, since they are terrestrial animals that breathe through gills requiring more moisture in the litter (Correia et al., 2008). It is known that NF generally has a greater diversity of niches compared to other agricultural systems (Rosa et al., 2015) which, however, does not imply a higher mesofauna density, since results showed higher diversity and lower mesofauna density in NF then in NT. It is possible that the less diversified litter in NT attracted a higher abundance of mites and collembolans, which contributed to the lower Simpson's index in NT (Table 3).

When NT was cultivated with black oat for soil cover, more than 40 % (4,046 ind m−2) of mesofauna sampled was in litter (Figure 4). After the toppling of black oats, a great reduction in the density of mesofauna in litter (252 ind m−2) and a peak in soil (20,637 ind m−2) was observed. When soybeans were completely developed, 2,868 ind m−2 in litter and 3,577 in soil were sampled, and after the harvest, there was a reduction in mesofauna density in litter (1,774 ind m−2) and an increase in soil (6,318 ind m−2). Thus, it was possible to verify a decrease in mesofauna in litter when the machine traffic is intense and when the crops are not yet completely established in NT, while the inverse occurs in soil. These effects on the mesofauna community were accompanied by seasonal changes, since in winter (Aug) when the weather is cold and dry (Figure 1), most of the soil invertebrates were found in litter. During summer, under higher temperatures and moisture, most of the soil invertebrates inhabited the soil (Figures 2 and 4). Thus, there is a definite influence of the crop cultivated, management and seasonality on the density and composition of the soil invertebrate community.

Figure 4 Soil mesofauna density in litter under no-tillage (NT) and in native forest (NF) in Ponta Grossa, in the state of Paraná, Brazil. Different capital letters indicate statistical differences between seasons, while small letters indicate statistical differences between land use systems (Tukey's test p < 0.05). 

We found the orders Acarina, Collembola, Psocoptera, Isopoda and Araneae in litter at all sampling times in NF and NT. The order Orthoptera was present only in summer in both systems, whereas the order Dermaptera was present only in NT (Table 5). The order Dermaptera has positive tigmotropism, since it frequently seeks contact with surfaces, inhabiting all types of moist cracks. This order was favored by living in crop residues deposited in the NT system. Additionally, these invertebrates are omnivorous and can feed on plant tissues, smaller invertebrates and fungal mycelia, which are more abundant in systems that have a higher moisture content (Cranston and Gullan, 2008).

Table 5 Invertebrate orders identified in litter under no-tillage (NT) and in native Forest (NF) in four seasons in Ponta Grossa, in the state of Paraná, Brazil. 

Seasons
Orders Winter (Richness=15) Spring (Richness=17) Summer (Richness=16) Autumn (Richness=15)
NT NF NT NF NT NF NT NF
Acarina X X X X X X X X
Collembola X X X X X X X X
Blattodea X X X X
Coleoptera X X X X X X X
Heteroptera X X X X X X
Hymenoptera X X X X X X X X
Psocoptera X X X X X X X X
Thysanoptera X X
Aranea X X X X X X X X
Opilionida X
Pseudoscorpiones X X
Amphipoda X X X X X X
Isopoda X X X X X X X X
Diplura X
Thysanoptera X X X X
Diplopoda X X X X
Chilopoda X X X X
Protura X X X
Simphyla X X
Orthoptera X X
Dermaptera X X
Richness 11 13 11 13 16 10 13 11

On the other hand, Orthoptera has a great affinity with warmer and humid climates. The litter may provide food for crickets, such as leaves, flowers, fungi and fruits, and it may provide free spaces to hide from natural enemies (Gangwere, 1961; Szinwelski et al., 2015). Therefore, the increase in rain and temperature in summer seems to favor the abundance of these insects, since seasonal cycles of tropical insects have been attributed to the variation in resource availability caused by alternating between dry and rainy periods (Oliveira et al., 2013; Neves et al., 2010).

Conclusions

In natural systems, there is a higher diversity of soil invertebrates than in agricultural systems. The total density of soil mesofauna did not differ between land use systems; however, in spring, NT presented a higher mesofauna density than other agricultural systems. In winter, however, the abundance of soil mesofauna in plowed systems was higher and decaying going into summer, finally reaching a new increase in abundance in autumn.

A greater litter diversity on the soil surface favors a greater diversity of soil invertebrates, but does not necessarily define higher or lower abundance.

It is possible that higher carbon contents in soil increase mesofauna diversity, especially in NF. Depending on the climatic conditions and the crop cultivated, soil mesofauna may use litter and/or soil as a shelter. Harvest operations and absence of agricultural crops reduce mesofauna density in litter, while lower temperatures and lower moisture reduce mesofauna density in soil, but not necessarily in litter.

Acknowledgments

The authors thank M.Sc. Maria Rosa Quintans Lopez for her collaboration during the development of this research, and acknowledge her great contribution to the diffusion of knowledge on soil invertebrates. Elke Jurandy Bran Nogueira Cardoso extends thanks for a productivity grant provided by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and for the Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP), process number: 2016/18944-3

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Received: April 22, 2017; Accepted: November 08, 2017

* Corresponding author <mauriciozagatto@usp.br>

Edited by: Fernando Dini Andreote

Authors' Contributions

Conceptualization: Zagatto, M.R.G., Pereira, A.P.A., Estrada-Bonilla, G., Cardoso, E.J.B.N. Data acquisition: Zagatto, M.R.G., Zanão Junior, L.A. Data analysis: Zagatto, M.R.G., Zanão Junior, L.A. Design of Methodology: Zanão Junior, L.A. Writing and Editing: Zagatto, M.R.G., Zanão Junior, L.A., Pereira, A.P.A., Estrada-Bonilla, G., Cardoso, E.J.B.N.

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