Next Article in Journal
Hydrochar as a Modulator of Soil Microbial Activity and Soil Biochemical Processes
Previous Article in Journal
Intra- and Interspecific Competition Between Ile1781Leu ACCase-Resistant and Susceptible Johnsongrass (Sorghum halepense) Populations and Corn or Sunflower
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Effect of the Freeze–Thaw Process on Plant Available Water and Water-Stable Aggregates as a Function of Soil Tillage and Soil Chemical Quality

by
Mykola Kochiieru
1,*,
Simona Pranaitienė
1,
Virginijus Feiza
1 and
Yuliia Kochiieru
2
1
Department of Soil and Crop Management, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, 58344 Akademija, Kėdainiai District, Lithuania
2
Department of Plant Pathology and Protection, Institute of Agriculture, Lithuanian Research Centre for Agriculture and Forestry, 58344 Akademija, Kėdainiai District, Lithuania
*
Author to whom correspondence should be addressed.
Agronomy 2026, 16(9), 916; https://doi.org/10.3390/agronomy16090916
Submission received: 10 March 2026 / Revised: 10 April 2026 / Accepted: 28 April 2026 / Published: 30 April 2026

Abstract

The goal of this work was to determine the effect of soil freeze–thaw processes on the formation of water-stable aggregates (WSA) and plant available water (PAW) in soils of different textures, depending on the intensity of tillage: conventional tillage (CT), reduced tillage (RT) and no-tillage (NT). The WSA value (0.4%) and PAW mean (5.5%) in sandy loam were higher than in loam. The average content of WSA and PAW tended to decrease in the following order: air-dry soil > soil with water content at field capacity > soil near full saturation. These results indicate that WSA in soils that are close to full saturation upon freezing will be less stable after thawing and will decrease the PAW. The content of WSA in NT was 9.4% higher than in RT and 14% higher than in CT. The content of PAW in NT was 5.6% higher than in CT and 13.6% higher than in RT. The effects of various physical and chemical properties on PAW as a function of water level during the freeze–thaw process indicate that WSA content acted as a direct factor for PAW. In a temperate climate zone under dry meteorological conditions, NT would have a promising future for soil stability by maintaining higher WSA and PAW.

1. Introduction

Global climate change leads to thinning snow cover and increased soil moisture, changing the frequency of freezing–thawing in winter and spring, especially in regions with temperate climates [1]. Global warming affects the freezing and thawing of soils, which will significantly change the structure of soils in areas with seasonal freezing and thawing [2]. Winter conditions with seasonally frozen soils can have a profound effect on the structure and, therefore, the water-holding capacity of the soil [3].
The climate of Lithuania includes precipitation, frost, and drying of soil [4], which leads to the instability of soil aggregates and the water-holding capacity of the soil. Cambisols in temperate climate zones are among the most productive soils on earth. These soils are intensively used as agricultural lands. Cambisol covers approximately 17% of Lithuania’s territory [5].
Freeze–thaw cycling is a process of energy input and output in soil [6] and can greatly influence the arrangement and binding of soil particles and, hence, soil structure. Soil aggregates are the main unit of structure of soil [7], and perform the functions of soil stability, as well as maintaining soil nutrients and microbial activity [8,9]. Studies by Tang et al. [10] and Xiao et al. [11] showed that physical protection in aggregates is one of the key mechanisms for soil organic carbon conservation. The contents of soil organic matter and clay minerals are important in the formation of the water-stable aggregates [12]. In addition, silt and clay bind soil particles better than sand. It is also maintained that soil management practices, such as reduced tillage with crop residue conservation, can improve soil quality. Macroaggregates (>0.25 mm) provide a wider pore space and better structural stability, which play an important role in reducing soil erosion and increasing water-holding capacity [13]. In general, water-resistant aggregates and soil erosion resistance are used to characterize the stability of aggregates, with higher values indicating greater soil stability [14]. Soil organic matter, soil texture and pH influence the stability of soil aggregates [15,16].
The freezing–thawing process influences the chemical and physical properties of the soil, such as the structure of the soil, water-stable aggregates, organic matter content [17], and soil phosphorus [18]. The changing trends of soil properties are related to the freezing–thawing degree, water content, and soil texture [19]. Starkloff et al. [20] found the negative impact of the freezing–thawing process on the properties of macropores in silt and sandy soils, which, in turn, reduces water absorption by plants.
The influence of tillage on the development of agricultural crops is as diverse as that on the physical properties of the soil [21]. Agricultural crop production depends on soil structure, soil type, and weather conditions [22]. The influence of tillage methods on the development of agricultural crops is significantly dependent on local growing conditions. These conditions include the soil’s response to freezing–thawing and wetting–drying cycles [23]. Factors caused by soil cultivation are related to changes in the physical properties of the soil and affect the distribution of water in the soil and the growth of roots and, thus, the absorption of water by plants [24,25].
Freezing and thawing cycles change the internal structure of the aggregate in the form of increased porosity and more asymmetrical pores [13,26], and lead to a decrease in soil nutrient content and changes in physicochemical properties such as pH and electrical conductivity [27,28]. However, the actual influence of freezing–thawing cycles on the stability of aggregates is still poorly understood.
Soil aggregation is one of the most important indicators of soil quality; high aggregation increases porosity and, therefore, increases the water-holding capacity of the soil [29].
The aim of this study was to determine the effect of soil freeze–thaw processes on plant available water and water-stable aggregates in Cambisol in relation to basic soil chemical properties, soil texture and soil tillage intensity.

2. Materials and Methods

2.1. Soil Description and Site

This research was carried out at the Institute of Agriculture, the Lithuanian Research Centre for Agriculture and Forestry, Central Lithuania, on two long-term field trials with loam and sandy loam textures prevailing (Figure 1). The soil of the local site is classified as Cambisol (loamic, drained), according to WRB [30]. A long-term study examined different soil cultivation methods, since 2004 in loam and since 1999 in sandy loam. The experimental treatments were set up on two textural (sandy loam and loam) soils (Figure 1a). Three soil tillage (NT—no-tillage, RT—reduced tillage and CT—conventional tillage) systems were investigated in both experiments, with plant residues removed and fertilized with mineral NPK fertilizers according to the soil properties. The crop in the investigation field in 2021 was winter wheat (Triticum aestivum L.). More detailed information on soil texture and soil treatment is provided by Kochiieru et al. [31].

2.2. Sampling

Soil cores (two replications) with steel cylinders for determination of water-stable aggregates (WSA) and plant available water (PAW) were collected from both field (loam and sandy loam) experiments in 2021 (Figure 1b). Each soil sample was taken using a plastic cylinder and a steel cylinder (Figure 1c) from the middle of the soil layers at 0–10 and 10–20 cm depths of soil. The plastic cylinder (diameter—46 mm; height—51 mm) was used to freeze–thaw the soil (Figure 1c). The steel cylinder (diameter—53 mm; height—50 mm) was used to transport the plastic cylinder with the soil sample (Figure 1c).

2.3. Freezing–Thawing Process

Undisturbed monoliths of soil were adjusted for three levels of water content (air-dry soil, soil at field capacity and soil near saturation) in a lab. Soil samples with different water contents were subjected to three freezing–thawing cycles. The soil monoliths were frozen at −5 °C, and they thawed at 5 °C. A single freezing–thawing cycle was 120 h. More details on this procedure can be found in Kochiieru et al.’s study [32].

2.4. Hydro-Physical Analyses of the Soil

Undisturbed soil samples after the freezing–thawing processes were further investigated for determination of soil water retention characteristics from 0–10 and 10–20 cm depths. Water retention properties were studied at −4, −10, −30 and −100 hPa (in a sandbox) and at −300 hPa (in a sand–kaolin box). The water content was determined at −15,500 hPa of suction using sieved soil samples [33]. The water content levels at −100 hPa and–15,500 hPa were considered as the field capacity (in Europe) and the permanent wilting point, respectively. The amount of water between these two suctions was regarded as the plant-available water content (the water-holding capacity of the soil).

2.5. Water-Stable Aggregate (WSA) Analysis

After the freezing–thawing cycles, WSAs were estimated in soil samples with different water contents from different layers of soil. Air-dry soil was sieved using a Retsch sieve shaker (Retsch AS200 basic, Retsch GmbH, Haan, Germany). Water-stable aggregates were determined from 0–10 and 10–20 cm depths by using a wet-sieving apparatus (Eijkelkamp Agrisearch Equipment, Giesbeek, The Netherlands). Four replications of 4 g of air-dried soil aggregates (1–2 mm size) were wet-sieved (0.25 mm mesh size) in distilled water, and then the stable aggregates were destroyed by a 0.2% NaOH solution, oven-dried at 105 °C for 24 h and weighed [15]. More details are provided by Kochiieru et al. [32].

2.6. Agrochemical Analysis

Soil samples (two field replications) were collected from (0–10 and 10–20 cm) soil layers randomly by using a steel auger (Figure 1c) at the same place as the samples for water-stable aggregates and plant available water content. The disturbed soil samples were air-dried; visible roots and plant residues were manually removed. Then, the samples were crushed, sieved through a 2 mm sieve and homogeneously mixed. Three replicate samples were used for each field sample in the laboratory analysis. Soil organic carbon (SOC) was identified by the titrimetric (classical) method of Tyurin [34]. Total nitrogen (N) was determined by the Dumas method using a Vario EL III CNS autoanalyzer [35]. Soil pHKCl was determined using an AS-3010D potentiometer in 1M KCl (1:2.5, w:v). Available potassium and phosphorus were identified by the Egner–Riehm–Domingo (A–L) method [36].

2.7. Meteorological Conditions

The annual mean air temperature was 7.5 °C, and the mean air temperature during the growing season was 14.7 °C. The total amount of rainfall during the 2021 crop-growing period was 357.4 mm, with a total annual precipitation of 565.9 mm (data from the Dotnuva Meteorological Station).

2.8. Statistical Analysis

The statistical software package SAS 7.1 was used to calculate mean values and standard errors. Mean values were compared by Duncan’s multiple range tests at a probability level of p < 0.05. Correlation–regression analysis was also implemented. The standard error values are presented as error bars. A path analysis for statistical data treatment was performed [37]. The principal diagram for the path coefficient analysis is presented in Figure 2.
Pxiy represents the path coefficient that shows the direct effect of an independent variable xi on the dependent variable Y. rxixj represents the simple indirect correlation between two independent variables xi and xj. The Y demonstrates the correlation between Y and xi, i.e., the sum of the entire path (sum of effects) connecting the two variables (more details are provided in Kochiieru et al.’s study [32]).

3. Results

3.1. Content of Soil Water-Stable Aggregates

The average content of water-stable aggregates was higher in sandy loam than in loam but was not significantly different at p < 0.05 (Table 1). The content of WSA, averaged across soil textures, soil depths and water contents at freezing, in no-tillage (NT) soil was 9.4% higher than in reduced tillage (RT) and 14.0% higher than in conventional tillage (CT) (Table 1).
The mean WSA values were higher at the 0–10 cm soil depth than at the 10–20 cm soil depth (Table 1). The content of WSA, averaged across soil textures, tillage systems, and soil depths, tended to increase in the following order: NS (59.77%) < FC (60.14%) < AD (61.03%). These results indicate that aggregates in soils that are close to full saturation upon freezing will be less stable after thawing. However, the effect of water content on the averaged WSA data during freezing was insignificant (Table 1).

3.2. The Effect of Tillage Systems on Water-Stable Aggregate Content

The effect of the tillage system was significant (p < 0.01) on the WSA content at different water levels under freezing–thawing processes in different soil textures (Figure 3 and Table 2). The decrease in WSAs was related to the soil texture and tillage system. The content of WSA in sandy loam was significantly lower than in loam at two soil water (AD and NS) levels. But the content of WSA at FC in sandy loam was higher than in loam (Table 2). In the soil of sandy loam, at AD, FC and NS water contents, conventional tillage decreased the WSA content by 1.24-, 1.14- and 1.30-fold, and in the soil of loam by 1.09-, 1.23- and 1.02-fold, respectively, compared with water-stable aggregates in no-tillage (Table 2). The water-stable aggregate content tended to decrease in the following order: NT (66.24%) > RT (60.82%) > CT (54.23%) in sandy loam, and NT (64.62%) > CT (58.28%) > RT (57.71%) in loam (Table 2).

3.3. Soil Chemical Properties

The soil organic carbon (SOC) content within the 0–20 cm soil layer averaged from 7.8 to 8.6 g kg−1 in sandy loam and from 11.1 to 12.5 g kg−1 in loam. The content of SOC in the soil of sandy loam was 29.9% lower than in the soil of loam. The content of SOC consistently decreased in the downward direction of soil layers in sandy loam (NT, RT, and CT) and in loam (NT and RT), while in CT, the loam content of SOC was higher at the 10–20 cm soil depth (Table 3). The average across depth contents of SOC tended to decrease in the following orders: NT (8.6 g kg−1) > CT (8.2 g kg−1) > RT (7.8 g kg−1) in sandy loam, and NT (12.5 g kg−1) > RT (11.4 g kg−1) > CT (11.1 g kg−1) in loam (Table 3).
The content of total nitrogen (N) within the 0–20 cm soil layer amounted to 0.91–1.00 g kg−1 in sandy loam and 1.21–1.46 g kg−1 in loam. The soil total N content in the soil of sandy loam was 29.1% lower than in the soil of loam (Table 3). The content of total N consistently decreased in the downward direction of soil layers in sandy loam (NT, RT, and CT) and in loam (NT and RT), while in CT, the loam content of total N was higher at the 10–20 cm soil depth (Table 3). The average across depths of total N tended to decrease in the following orders: NT (1.00 g kg−1) > CT (0.94 g kg−1) > RT (0.91 g kg−1) in sandy loam, and NT (1.46 g kg−1) > RT (1.36 g kg−1) > CT (1.21 g kg−1) in loam (Table 3).
The content of available phosphorus (P) within the 0–20 cm soil layer amounted to 0.171–0.273 g kg−1 in sandy loam and 0.265–0.370 g kg−1 in loam. The content of available P in the soil of sandy loam was 33.7% lower than in the soil of loam (Table 3). The content of available P consistently decreased in the downward direction of soil layers in different tillage systems of sandy loam and loam. The average across depth of available P tended to decrease in the following orders: RT (0.273 g kg−1) > NT (0.216 g kg−1) > CT (0.171 g kg−1) in sandy loam, and NT (0.370 g kg−1) > RT (0.332 g kg−1) > CT (0.265 g kg−1) in loam (Table 3).
The soil available potassium (K) content in sandy loam was 15.8% lower than in loam. The content of K within the 0–20 cm soil layer amounted to 0.167–0.228 g kg−1 in sandy loam and 0.180–0.263 g kg−1 in loam (Table 3). The content of available K consistently decreased in the downward direction of soil layers in different tillage systems of sandy loam and loam. The average across depth of available K tended to decrease in the following orders: RT (0.228 g kg−1) > NT (0.181 g kg−1) > CT (0.167 g kg−1) in sandy loam, and NT (0.263 g kg−1) > RT (0.241 g kg−1) > CT (0.180 g kg−1) in loam (Table 3).
The pH values observed at the 0–20 cm soil depth indicated a moderately acidic pH in sandy loam (5.4–6.2 pH) and a neutral pH in loam (6.7–7.1 pH). The soil pH in loam was 17.4% higher than in sandy loam (Table 3).

3.4. Content of Plant Available Water

The plant available water content was higher in sandy loam than in loam, but was not significantly different at p < 0.05 (Table 4). The content of PAW, averaged across soil textures, soil layers and water contents at freezing, in NT was 5.6% higher than in CT and 13.6% higher than in RT (Table 4).
The mean PAW was the same in the 0–10 cm soil layer and in the 10–20 cm soil layer (Table 4). The PAW content, averaged across soil textures, tillage systems, and soil layers, tended to decrease in the following order: AD (0.159 m3 m−3) > FC (0.155) > NS (0.141 m3 m−3) (Table 4). The effect of the tillage system and water content at freezing was significant (p < 0.01) on the PAW content (Table 4).

3.5. The Influence of Tillage Systems on Plant Available Water (PAW) Content

The effect of the tillage system was significant (p < 0.01) on the PAW content at different water levels under freezing–thawing processes in different soil textures (Figure 4 and Table 5). The decrease in the PAW content was related to the soil texture and tillage system. The content of PAW in sandy loam was significantly higher than in loam in the two tillage (RT and CT) systems, while the PAW under NT in sandy loam was lower than in loam (Table 5).
The average across water contents of the PAW content tended to decrease in the following order: CT (0.161 m3 m−3) > NT (0.157 m3 m−3) > RT (0.149 m3 m−3) in sandy loam, and NT (0.167 m3 m−3) > CT (0.145 m3 m−3) > RT (0.131 m3 m−3) in loam. In sandy loam, under NT, RT and CT, NS decreased the PAW content by 1.12-, 1.01- and 1.17-fold, and in the soil of loam by 1.09-, 1.17- and 1.23-fold, respectively, compared with the PAW content at AD (Table 5).

3.6. The Effect of Water Content During Freezing–Thawing Processes on Plant Available Water (PAW) Content

The decrease in plant available water (PAW) was related to the water content during freezing–thawing processes in different tillage systems and soil textures. The content of PAW in sandy loam was higher than in loam at the three soil water levels. In the soil of sandy loam, under NT, RT and CT, NS decreased the PAW content by 1.12-, 1.01- and 1.17-fold, and in the soil of loam by 1.09-, 1.17- and 1.23-fold, respectively, compared with the PAW content at AD (Table 5). The average across tillage systems of the PAW content tended to decrease in the following order: FC (0.163 m3 m−3) > AD (0.160 m3 m−3) > NS (0.145 m3 m−3) in sandy loam, and AD (0.159 m3 m−3) > FC (0.147 m3 m−3) > NS (0.137 m3 m−3) in loam (Table 5). These results indicate that soils that are close to full saturation upon freezing will have a lower content of PAW after thawing (Table 5).

3.7. The Effect of Soil Chemical Properties on Water-Stable Aggregates

Water-stable aggregates (WSA) positively correlated with the chemical properties of soil in loam (Table 6) and sandy loam (Table 7) at different water contents during the freeze–thaw processes.
Soil organic carbon (SOC) content positively correlated with WSAs (r = 0.56 * (AD), r = 0.73 ** (FC) and r = 0.65 * (NS); Table 6) in loam. In sandy loam, SOC correlated with WSA (r = 0.49 * (AD), r = 0.55 * (FC) and r = 0.49 * (NS); Table 7). Total nitrogen (N) content positively correlated with WSA (r = 0.40 ns (AD), r = 0.76 ** (FC) and r = 0.52 * (NS); Table 6) in loam. In sandy loam, total N positively correlated with WSA (r = 0.30 ns (AD), r = 0.71 ** (FC) and r = 0.46 * (NS); Table 7) Available phosphorus (P) content positively correlated with WSA (r = 0.46 * (AD), r = 0.83 ** (FC) and r = 0.23 ns (NS); Table 6) in loam. The content of P correlated with WSA (r = 0.24 ns (AD), r = 0.31 ns (FC) and r = 0.83 ** (NS); Table 7) in sandy loam. Available potassium (K) content positively correlated with WSA (r = 0.38 ns (AD), r = 0.75 ** (FC) and r = 0.81 ** (NS); Table 6) in loam. The content of K positively correlated with WSA (r = 0.14 ns (AD), r = 0.18 ns (FC) and r = 0.71 ** (NS); Table 7) in sandy loam.

3.8. Relationships of Dependent Variable (PAW) with Physical and Chemical Properties of Soil at Different Water Contents During Freezing–Thawing

Plant available water (PAW) content was influenced positively or negatively by the properties of the soil at different water contents during the freeze–thaw processes. In loam, the content of PAW positively correlated with WSA (r = 0.48 * (AD) and r = 0.72 ** (FC); Table 6), while the result in NS was inverse (r = −0.10 ns; Table 6). The content of WSA acted most strongly as a direct factor for PAW (Px1y = −2.219 (AD), Px1y = 4.893 (FC), and Px1y = −1.404 (NS); Table 8) in loam.
In sandy loam, WSA acted as a direct factor for PAW (r = 0.18 ns and Px1y = 7.266 (FC); Table 7 and Table 9), while AD and NS were indirect factors for PAW (Table 9). The content of available P in loam positively correlated with PAW (r = 0.18 ns (AD), r = 0.51 * (FC), and r = 0.42 * (NS); Table 6), while the result in sandy loam was inverse (r = −0.61 * (AD), r = −0.11 ns (FC), and r = −0.52 * (NS); Table 7). The content of available P acted as a direct factor for PAW (Px4y = 3.442 (AD), Px4y = −5.102 (FC), and Px4y = 2.134 (NS); Table 8) in loam. In sandy loam, WSA acted as a direct factor for PAW (r = −0.52 * and Px4y = 6.937 (NS); Table 7 and Table 9), while AD (r = −0.61 *) and FC (r = −0.11 ns) were indirect factors for PAW (Table 9).
The contents of soil organic carbon, total nitrogen and available potassium acted as indirect factors for PAW in loam and sandy loam (Table 6, Table 7, Table 8 and Table 9).

4. Discussion

Soil aggregates are the basic unit of soil structure [7] and are a key factor for the quality of the soil [38]. The response of water-stable aggregates in the soil to freeze–thaw processes depends on some factors, including the water content during freezing–thawing cycles, the contents of soil organic carbon, total nitrogen, available potassium, and available phosphorus, soil texture, and tillage [18]. The available water-holding capacity of soil depends on water-stable aggregates in the soil. Because soil water-holding capacity is influenced by many factors, path data analysis is used to reveal the actual contribution of the several factors examined within the soil texture under different tillage treatments. Debnath et al. [39] and Deb et al. [40] found that organic carbon, clay, sand, and porosity contents directly influence soil water-holding capacity in sloppy land.
The soil structure has been affected by long-term anthropogenic activities. Intensive tillage reduces aggregate stability, nitrogen content, and the content of soil organic carbon, which, in turn, affects soil quality [18,41]. In turn, changes in the relationships between soil properties showed that tillage had an impact on aggregation and, accordingly, on the water-holding capacity of the soil. These changes depended on the type of soil texture and the direction of climate change. Our research results showed that loam is more resistant to drought conditions in dry spells. It demonstrates a higher readiness to perform tillage activity, providing a better water stability of aggregates in the dry soil state compared with sandy loam. Therefore, if dry climatic conditions were to prevail in the temperate climate zone, reducing the tillage intensity would be a promising way to ensure soil sustainability by maintaining water-stable dry soil aggregates. The soil response to freeze–thaw experiments showed that aggregate stability under excess soil moisture conditions depends on the type of soil texture and tillage type. Conventional tillage produced a higher water-stable aggregate (soil near full saturation) content in loam (61.2%) than in sandy loam (58.3%). However, no-tillage demonstrated a higher number of water-stable aggregates (soil near full saturation) than conventional tillage in loam and sandy loam. The high content of water-stable aggregates under full soil saturation may explain how the soil deals with waterlogging in situations with an excess of water. In such situations, sandy loam has the potential to perform better in supporting water-stable aggregates (soil at field capacity), which have a higher content than in loamy textured soil. It should be noted that the long-term no-tillage management resulted in a higher water-stable aggregate content than under conventional tillage application [42].
Skvortsova et al. [43] reported that the content of organic matter and differences in the mechanical strength of the soil affected the stability of aggregates during freezing–thawing, which confirms our results. The stability of soil water-stable aggregates is associated with the composition of soil organic matter as one of the major factors in aggregate formation and stability [44]. The positive correlation between water-stable aggregates and soil organic carbon (r = 0.49 *–0.73 **; Table 6 and Table 7) demonstrates the dominant effect of the contribution of soil organic carbon to the formation of stability of aggregates. Kochiieru et al. [32] found positive relationships (r = 0.87 **–0.95 **) between soil organic carbon and water-stable aggregates with different water contents during freezing–thawing processes at a 0–10 cm soil depth in Cambisol and Retisol. Haydu-Houdeshell et al. [29] reported that soil organic carbon and aggregate stability were moderately correlated (r2 = 0.67), and Erktan et al. [45] found a positive linear correlation between these parameters, which confirms our results. Kochiieru et al. [32,42] have documented that intensive soil tillage reduces the stability of aggregates, soil organic carbon, and nitrogen content, and that, in turn, influences the quality of soil. Soil chemical properties such as total nitrogen, available phosphorus, and available potassium also influence soil aggregate formation and stability, which confirms our results (Table 6 and Table 7).
Tillage affects the structure of the soil and, consequently, the development of plants and the efficiency of the soil water regime and water use [21,46]. The results from the long-term field experiments showed better plant available water contents under no-tillage as well (Table 6). The decrease in plant available water was related to water content during freezing–thawing processes under different tillage applications in contrasting soil textures. The average across tillage systems of plant available water content tended to decrease from air-dry soil and soil with water content at field capacity to soil near full saturation. These results indicate that the plant available water content in soils that are close to full saturation upon freezing will be lower after thawing (Table 8).
Debnath et al. [39] and Deb et al. [40] reported that water-holding capacity and soil organic carbon were positively correlated (r = 0.81 ** and r = 0.80 **). Bhavya et al. [47] found that water-holding capacity increased with an increasing content of organic carbon in the soil. The water-holding capacity depends on the physical and chemical properties of the soil, just as the plant available water depends on these parameters. Soil chemical parameters had a positive effect on plant available water in loam (Table 6). However, a negative relationship was observed between these parameters in sandy loam (Table 7). According to Deb et al. [40] and Debnath et al. [39], the amount of sand negatively affects the water-holding capacity. This confirms our results.
The results also showed that some additional factors that had not been included in this study could influence the plant available water content of the studied soil. One such factor is soil macroporosity, which, in turn, influences water cycle processes such as nutrient transport and infiltration. This suggests that the relationship between the macropore network, nutrients and organic carbon in the soil may lead to differences in soil behavior under different land uses [42]. Wang and Xu [48] wrote that changes in pore structure induced by freeze–thaw processes could contribute to soil organic carbon protection of aggregates. Microbial communities regulate soil organic carbon stability, substantially contributing to soil organic carbon content [49]. These missing factors will be explored in future studies.
If dry meteorological conditions were to prevail in the temperate climate zone, no-tillage would have a promising future for soil stability by maintaining higher water-stable aggregate and plant available water contents.

5. Conclusions

The water-stable aggregate value and plant available water mean in sandy loam were higher than in loam, but were not significantly different. The average contents of water-stable aggregates and plant available water tended to decrease in the following order: air-dry soil > soil with water content at field capacity > soil near full saturation. These results indicate that soil aggregates in soil that is close to full saturation upon freezing will be less stable after thawing and will decrease the plant available water content.
The content of water-stable aggregates in no-tillage was 9.4% higher than in reduced tillage and 14% higher than in conventional tillage. The plant available water content in no-tillage was 5.6% higher than in conventional tillage and 13.6% higher than in reduced tillage.
The contents of soil organic carbon and total nitrogen were positive factors for water-stable aggregates at all water levels of the soil. The effects of various physical and chemical properties on water-holding capacity as a function of water level during the freeze–thaw process indicate that water-stable aggregate contents acted as a direct factor for soil water-holding capacity.

Author Contributions

Conceptualization, M.K.; investigation, M.K. and S.P.; writing—original draft preparation, M.K. and Y.K.; writing—review and editing, M.K. and Y.K.; project administration, V.F.; funding acquisition, V.F. All authors have read and agreed to the published version of the manuscript.

Funding

This study was partly supported by the research program “Productivity and sustainability of agricultural and forest soils” implemented by the Lithuanian Research Centre for Agriculture and Forestry.

Data Availability Statement

The data are contained within this article.

Conflicts of Interest

We declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this study.

Abbreviations

The following abbreviations are used in this manuscript:
WSAWater-stable aggregates
PAWPlant available water
NTNo-tillage
RTReduced tillage
CTConventional tillage
ADAir-dry soil
FCSoil at field capacity
NSSoil near full saturation
SOCSoil organic carbon
NTotal nitrogen
PAvailable phosphorus
KAvailable potassium
C/NCarbon/nitrogen ratio

References

  1. IPCC. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change; Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K., Tignor, M.M.B., Miller, H.L., Eds.; Cambridge University Press: Cambridge, UK; New York, NY, USA, 2007; p. 996. [Google Scholar]
  2. Xiao, L.; Yao, K.; Li, P.; Liu, Y.; Zhang, Y. Effects of freeze-thaw cycles and initial soil moisture content on soil aggregate stability in natural grassland and Chinese pine forest on the Loess Plateau of China. J. Soils Sediments 2020, 20, 1222–1230. [Google Scholar] [CrossRef]
  3. Kværnø, S.H.; Øygarden, L. The influence of freeze-thaw cycles and soil moisture on aggregate stability of three soils in Norway. Catena 2006, 67, 175–182. [Google Scholar] [CrossRef]
  4. Galvonaitė, A.; Valiukas, D.; Kilpys, J.; Kitrienė, Z.; Misiūnienė, M. Climate Atlas of Lithuania; Lithuanian Hydrometeorological Service under the Ministry of Environment: Vilnius, Lithuania, 2013; p. 175.
  5. Staugaitis, G.; Vaišvila, Z.J. Dirvožemio Agrocheminiai Tyrimai. Mokslinė-Methodinė Medžiaga; Lietuvos Agrarinių ir Miškų Mokslų Centro Agrocheminių Tyrimų Laboratorija: Kaunas, Lithuania, 2019; p. 112. (In Lithuanian)
  6. Wang, T.; Li, P.; Li, Z.B.; Hou, J.M.; Xiao, L.; Ren, Z.P.; Xu, G.C.; Yu, K.X.; Su, Y.Y. The effects of freeze-thaw process on soil water migration in dam and slope farmland on the Loess Plateau, China. Sci. Total Environ. 2019, 666, 721–730. [Google Scholar] [CrossRef] [PubMed]
  7. Shen, Q.; Wu, M.J.; Zhang, M.K. Accumulation and relationship of metals in different soil aggregate fractions along soil profiles. J. Environ. Sci. 2022, 115, 47–54. [Google Scholar] [CrossRef]
  8. Lu, Q.; Ma, H.B.; Zhou, Y.; Calvelo-Pereira, R.; Shen, Y. Caragana koshinskii Kom. Plantation reduced soil aggregate stability and aggregate-associated organic carbon on desert steppe. PeerJ 2022, 10, e12507. [Google Scholar] [CrossRef] [PubMed]
  9. Zhao, Y.D.; Hu, X. A pore-scale investigation of soil aggregate structure responding to freeze-thaw cycles using x-ray computed microtomography. J. Soils Sediments 2023, 23, 3137–3148. [Google Scholar] [CrossRef]
  10. Tang, F.K.; Cui, M.; Lu, Q.; Liu, Y.G.; Guo, H.Y.; Zhou, J.X. Effects of vegetation restoration on the aggregate stability and distribution of aggregate-associated organic carbon in a typical karst gorge region. Solid Earth 2016, 7, 141–151. [Google Scholar] [CrossRef]
  11. Xiao, L.; Zhang, Y.; Li, P.; Xu, G.C.; Shi, P.; Zhang, Y. Effects of freeze-thaw cycles on aggregate-associated organic carbon and glomalin-related soil protein in natural-succession grassland and Chinese pine forest on the Loess Plateau. Geoderma 2019, 334, 1–8. [Google Scholar] [CrossRef]
  12. Wang, J.; Liu, L.; Qiu, X.; Wei, Y.; Li, Y.; Shi, Z. Contents of soil organic carbon and nitrogen in water-stable aggregates in abandoned agricultural lands in an arid ecosystem of Northwest China. J. Arid. Land 2016, 8, 350–363. [Google Scholar] [CrossRef]
  13. Kim, Y.J.; Kim, J.; Jung, J.Y. Responses of dissolved organic carbon to freeze-thaw cycles associated with the changes in microbial activity and soil structure. Cryosphere 2023, 17, 3101–3114. [Google Scholar] [CrossRef]
  14. Jia, Y.L.; Chen, S.Y.; Wu, M.H.; Gu, Y.Z.; Wei, P.J.; Wu, T.H.; Shang, Z.H.; Wang, S.J.; Yu, H.Y. Improved permafrost stability by revegetation in extremely degraded grassland of the Qinghai-Tibetan Plateau. Geoderma 2023, 430, 116350. [Google Scholar] [CrossRef]
  15. Al-Kaisi, M.M.; Douelle, A.; Kwaw-Mensah, D. Soil microaggregate and macroaggregate decay over time and soil carbon change as influenced by different tillage systems. Soils Water Conserv. 2014, 69, 574–580. [Google Scholar] [CrossRef]
  16. Dong, C.; Gu, Y.; Jia, Y.; Wei, P.; Jin, J.; Deng, Y.; Yang, P.; Chen, S. Effects of freeze-thaw cycles on the size distribution and stability of soil aggregate in the permafrost regions of the Qinghai-Tibetan Plateau. Environ. Res. Commun. 2023, 5, 095008. [Google Scholar] [CrossRef]
  17. Li, G.Y.; Fan, H.M. Effect of freeze-thaw on water stability of aggregates in a black soil of Northeast China. Pedosphere 2014, 24, 285–290. [Google Scholar] [CrossRef]
  18. Cheng, Y.; Hao, S.; Zhang, J.; Xu, G.; Zhang, Y.; Ren, Z.; Jiang, W.; Liu, M. Impacts of freeze-thaw cycles on soil aggregate stability and phosphorus occurrence under different land uses. Soil Tillage Res. 2026, 261, 107177. [Google Scholar] [CrossRef]
  19. Sun, B.; Ren, F.; Ding, W.; Zhang, G.; Huang, J.; Li, J.; Zhang, L. Effects of freeze-thaw on soil properties and water erosion. Soil Water Res. 2021, 16, 205–216. [Google Scholar] [CrossRef]
  20. Starkloff, T.; Larsbo, M.; Stolte, J. Quantifying the impact of a succession of freezing-thawing cycles on the pore network of a silty clay loam and a loamy sand topsoil using X-ray tomography. Catena 2017, 156, 365–374. [Google Scholar] [CrossRef]
  21. Liebhard, G.; Klik, A.; Neugschwandtner, R.W.; Nolz, R. Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean. Agric. Water. Manag. 2022, 269, 107719. [Google Scholar] [CrossRef]
  22. Phogat, M.; Dahiya, R.; Sangwan, P.S.; Goyal, V. Zero tillage and water productivity: A review. Int. J. Chem. Stud. 2020, 8, 2529–2533. [Google Scholar] [CrossRef]
  23. Blanco-Canqui, H.; Wortmann, C.S. Does occasional tillage undo the ecosystem services gained with no-till? A review. Soil Tillage Res. 2020, 198, 104534. [Google Scholar] [CrossRef]
  24. Boone, F.R.; Veen, B.W. Mechanisms of crop responses compaction. In Developments in Agricultural Engineering; Elsevier: Amsterdam, The Netherlands, 1994; pp. 237–264. [Google Scholar] [CrossRef]
  25. Munna, M.N.H.; Lal, R. Long-term organic amendments for plant-available water capacity in a temperate no-till system. Agric. Ecosyst. Environ. 2026, 401, 110296. [Google Scholar] [CrossRef]
  26. Rooney, E.C.; Bailey, V.L.; Patel, K.F.; Dragila, M.; Battu, A.K.; Buchko, A.C.; Gallo, A.C.; Hatten, J.; Possinger, A.R.; Qafoku, O. Soil pore network response to freeze-thaw cycles in permafrost aggregates. Geoderma 2022, 411, 115674. [Google Scholar] [CrossRef]
  27. Liu, H.J.; Rezanezhad, F.; Zak, D.; Li, X.J.; Lennartz, B. Freeze-thaw cycles alter soil hydro-physical properties and dissolved organic carbon release from peat. Front. Environ. Sci. 2022, 10, 930052. [Google Scholar] [CrossRef]
  28. Shi, G.X.; Hou, R.J.; Li, T.X.; Fu, Q.; Wang, J.W.; Zhou, W.Q.; Su, Z.B.; Shen, W.Z.; Wang, Y.J. Effects of biochar and freeze-thaw cycles on the bacterial community and multifunctionality in a cold black soil area. J. Environ. Manag. 2023, 342, 118302. [Google Scholar] [CrossRef] [PubMed]
  29. Haydu-Houdeshell, C.; Graham, R.C.; Hendrix, P.F.; Peterson, A.C. Soil aggregate stability under chaparral species in southern California. Geoderma 2018, 310, 201–208. [Google Scholar] [CrossRef]
  30. IUSS Working Group WRB. World Reference Base for Soil Resources. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps, 4th ed.; International Union of Soil Sciences (IUSS): Vienna, Austria, 2022. [Google Scholar]
  31. Kochiieru, M.; Versuliene, A.; Shatkovska, K.; Feiza, V.; Seibutis, V. Mechanism of interaction between earthworms and root parameters on Cambisol. Agronomy 2024, 14, 1536. [Google Scholar] [CrossRef]
  32. Kochiieru, M.; Feiziene, D.; Feiza, V.; Volungevicius, J.; Velykis, A.; Slepetiene, A.; Deveikyte, I.; Seibutis, V. Freezing-thawing impact on aggregate stability as affected by land management, soil genesis and soil chemical and physical quality. Soil Tillage Res. 2020, 203, 104705. [Google Scholar] [CrossRef]
  33. Klute, A. Water retention: Laboratory methods. In Methods of Soil Analysis. Part 1. Physical and Mineralogical Methods, 2nd ed.; Klute, A., Ed.; Agronomy Monograph 9; The American Society of Agronomy and Soil Science Society of America: Madison, WI, USA, 1986; pp. 635–662. [Google Scholar] [CrossRef]
  34. Nikitin, B.A. Methods for soil humus determination. Agro Chem. 1999, 3, 156–158. [Google Scholar]
  35. Saint-Denis, T.; Goupy, J. Optimization of a nitrogen analyser based on the Dumas method. Anal. Chim. Acta 2004, 515, 191–198. [Google Scholar] [CrossRef]
  36. Egner, H.; Riehm, H.; Domingo, W.R. Untersuchungen uber die chemische Bodenanalyse als Grundlage fur die Beurteilung desNahrstoffzustandes der Boden II. Chemische Extraktionsmethoden zur Phosphor-und Kaliumbestimmung. K. Lantbrukshogskolans Ann. 1960, 26, 199–215. [Google Scholar]
  37. Williams, W.A.; Jones, M.B.; Demment, M.W.A. Concise table for path analysis statistics. Agron. J. 1990, 82, 1022–1024. [Google Scholar] [CrossRef]
  38. Sarker, T.C.; Incerti, G.; Spaccini, R.; Piccolo, A.; Mazzoleni, S.; Bonanomi, G. Linking organic matter chemistry with soil aggregate stability: Insight from 13C NMR spectroscopy. Soil Biol. Biochem. 2018, 117, 175–184. [Google Scholar] [CrossRef]
  39. Debnath, P.; Deb, P.; Sen, D.; Pattannaik, S.K.; Sah, D.; Ghosh, S.K. Physico-chemical properties and its relationship with water holding capacity of cultivated soils along altitudinal gradient in Sikkim. Int. J. Agric. Environ. Biotechnol. 2012, 5, 99–102. [Google Scholar]
  40. Deb, P.; Debnath, P.; Pattannaaik, S.K. Physico-chemical properties and water holding capacity of cultivated soils along altitudinal gradient in South Sikkim, India. Indian J. Agric. Res. 2014, 48, 120–126. [Google Scholar] [CrossRef]
  41. An, S.; Mentler, A.; Mayer, H.; Blum, W.E.H. Soil aggregation, aggregate stability, organic carbon and nitrogen in different soil aggregate fractions under forest and shrub vegetation on the Loess Plateau, China. Catena 2010, 81, 226–233. [Google Scholar] [CrossRef]
  42. Kochiieru, M.; Feiza, V.; Feiziene, D.; Lamorski, K.; Deveikytė, I.; Seibutis, V.; Pranaitienė, S. Long-term contrasting tillage in Cambisol: Effect on water-stable aggregates, macropore network and soil chemical properties. Int. Agrophys. 2023, 37, 59–67. [Google Scholar] [CrossRef]
  43. Skvortsova, E.B.; Shein, E.V.; Abrosimov, K.N.; Romanenko, K.A.; Yudina, A.V.; Klyueva, W.; Khaidapova, D.D.; Rogov, W. The impact of multiple freeze-thaw cycles on the microstructure of aggregates from a Soddy-Podzolic soil: A microtomographic analysis. Eurasian Soil Sci. 2018, 5, 190–198. [Google Scholar] [CrossRef]
  44. Kalhoro, S.A.; Xu, X.; Chen, W.; Hua, R.; Raza, S.; Ding, K. Effects of Different Land-Use Systems on Soil Aggregates: A Case Study of the Loess Plateau (Northern China). Sustainability 2017, 9, 1349. [Google Scholar] [CrossRef]
  45. Erktan, A.; Cecillon, L.; Graf, F.; Roumet, C.; Legout, C.; Rey, F. Increase in soil aggregate stability along a Mediterranean successional gradient in severely eroded gully bed ecosystems: Combined effects of soil, root traits and plant community characteristics. Plant Soil 2016, 398, 121–137. [Google Scholar] [CrossRef]
  46. Liu, H.; Gao, X.; Li, C.; Cai, Y.; Song, X.; Zhao, X. Intercropping increases plant water availability and water use efficiency: A synthesis. Agric. Ecosyst. Environ. 2025, 379, 109360. [Google Scholar] [CrossRef]
  47. Bhavya, V.P.; Anil Kumar, S.; Shivanna, M. Characterization of soil for physical properties under different land use systems. Int. J. Chem. Stud. 2017, 5, 2022–2024. [Google Scholar] [CrossRef]
  48. Wang, R.; Hu, X. Freeze-thaw processes correspond to the protection-loss of soil organic carbon through regulating pore structure of aggregates in alpine ecosystems. Soil 2024, 10, 859–871. [Google Scholar] [CrossRef]
  49. Peng, Y.; Yan, Y.; Fan, Z.; Shi, J.; Huo, C.; Zhang, Z.; Wang, X. Microbial associations with soil organic carbon pool composition and stabilization in eroding landscapes. Catena 2025, 258, 109302. [Google Scholar] [CrossRef]
Figure 1. Location and procedure of field sampling ((a)—fields with different textures of soil; (b)—taking soil sample for determination of water-stable aggregates and plant available water content; and (c)—undisturbed soil monolith in plastic and steel cylinder).
Figure 1. Location and procedure of field sampling ((a)—fields with different textures of soil; (b)—taking soil sample for determination of water-stable aggregates and plant available water content; and (c)—undisturbed soil monolith in plastic and steel cylinder).
Agronomy 16 00916 g001
Figure 2. Representation of relationship of dependent variable (Y = PAW—plant available water) with soil parameters investigated: X1 = WSAs—water-stable aggregates at different water levels, X2 = SOC—soil organic carbon, X3 = N—total nitrogen, X4 = P—available phosphorus, X5 = K—available potassium, and X6 = C/N—ratio between soil organic carbon and available nitrogen.
Figure 2. Representation of relationship of dependent variable (Y = PAW—plant available water) with soil parameters investigated: X1 = WSAs—water-stable aggregates at different water levels, X2 = SOC—soil organic carbon, X3 = N—total nitrogen, X4 = P—available phosphorus, X5 = K—available potassium, and X6 = C/N—ratio between soil organic carbon and available nitrogen.
Agronomy 16 00916 g002
Figure 3. The effect of water content at soil freezing on water-stable aggregates in different soil textures and tillage systems. Water-stable aggregates followed by the same letters are not significantly different at p < 0.05 within soil tillage systems. Bars are standard errors.
Figure 3. The effect of water content at soil freezing on water-stable aggregates in different soil textures and tillage systems. Water-stable aggregates followed by the same letters are not significantly different at p < 0.05 within soil tillage systems. Bars are standard errors.
Agronomy 16 00916 g003
Figure 4. The effect of water content at soil freezing on plant available water in different soil textures and tillage systems. Plant available water data followed by the same letters are not significantly different at p < 0.05 within soil tillage systems. Bars are standard errors.
Figure 4. The effect of water content at soil freezing on plant available water in different soil textures and tillage systems. Plant available water data followed by the same letters are not significantly different at p < 0.05 within soil tillage systems. Bars are standard errors.
Agronomy 16 00916 g004
Table 1. Water-stable aggregates (±standard error) in different soil textures, tillage systems, soil depths and water contents at freezing.
Table 1. Water-stable aggregates (±standard error) in different soil textures, tillage systems, soil depths and water contents at freezing.
FactorsSoil TextureTillage
System
Soil Layer
(cm)
Water Content at
Freezing
Water-Stable
Aggregates (%)
FPr > F
Soil textureSandy loam 60.43 a ± 0.750.050.8201
Loam 60.20 a ± 0.64
Tillage system No-tillage 65.43 a ± 0.5437.420.0001
Reduced tillage 59.26 b ± 0.90
Conventional tillage 56.26 c ± 0.81
Soil layer (cm) 0–10 62.63 a ± 0.6423.590.0001
10–20 58.01 b ± 0.70
Water content at freezing Air-dry61.03 a ± 0.830.580.5625
Field capacity 60.14 a ± 0.93
Near full saturation59.77 a ± 0.80
Water-stable aggregate data followed by the same letters are not significantly different at p < 0.05.
Table 2. The effect of tillage systems on WSA content at different water levels under freezing–thawing processes in different soil textures (data averaged across soil depths).
Table 2. The effect of tillage systems on WSA content at different water levels under freezing–thawing processes in different soil textures (data averaged across soil depths).
Tillage SystemWater-Stable Aggregates After Freezing–Thawing at Different Water Content (%)
WSAADWSAFCWSANS
Sandy LoamLoamSandy LoamLoamSandy LoamLoam
No-tillage67.23 a ± 1.5167.35 a ± 0.8068.07 a ± 1.3063.91 a ± 1.4563.41 a ± 1.1562.59 a ± 1.04
Reduced tillage57.69 b ± 1.6858.14 b ± 2.2162.01 b ± 2.0555.00 b ± 2.8462.76 a ± 2.2459.98 a ± 1.71
Conventional tillage54.05 b ± 2.0861.75 b ± 1.1959.94 b ± 1.8551.94 b ± 1.4448.71 b ± 1.6961.16 a ± 0.87
F14.719.285.739.4622.531.07
Pr > F0.00010.00040.00610.00040.00010.3514
Water-stable aggregate data followed by the same letters are not significantly different at p < 0.05. WSA—water-stable aggregate. WSAAD—air-dry WSA, WSAFC—WSA at field capacity, and WSANS—WSA near full saturation.
Table 3. Soil chemical properties (±standard error) in relation to different soil textures, tillage systems, and soil layers.
Table 3. Soil chemical properties (±standard error) in relation to different soil textures, tillage systems, and soil layers.
Soil TextureTillageSoil LayerpHKClSoil Organic
Carbon (SOC)
Total Nitrogen
(N)
Available Phosphorus (P)Available Potassium (K)C/N
cmg kg−1
Sandy loamNT0–105.4 ± 0.49.2 ± 0.81.13 ± 0.170.284 ± 0.050.249 ± 0.038.4 ± 2.0
10–206.0 ± 0.58.1 ± 1.10.87 ± 0.190.148 ± 0.030.114 ± 0.029.5 ± 0.8
Mean: 0–205.7 ± 0.38.6 ± 0.61.00 ± 0.130.216 ± 0.05 0.181 ± 0.049.0 ± 0.9
RT0–105.8 ± 0.18.5 ± 0.50.97 ± 0.030.366 ± 0.040.326 ± 0.068.7 ± 0.3
10–206.2 ± 0.17.1 ± 0.60.85 ± 0.040.181 ± 0.010.131 ± 0.038.4 ± 0.3
Mean: 0–206.0 ± 0.17.8 ± 0.50.91 ± 0.040.273 ± 0.060.228 ± 0.068.6 ± 0.2
CT0–105.4 ± 0.18.3 ± 0.71.00 ± 0.070.189 ± 0.010.168 ± 0.018.2 ± 0.1
10–205.6 ± 0.48.1 ± 0.30.89 ± 0.070.154 ± 0.010.166 ± 0.019.2 ± 1.0
Mean: 0–205.5 ± 0.28.2 ± 0.30.94 ± 0.050.171 ± 0.010.167 ± 0.018.7 ± 0.5
Sandy loam (average)5.7 ± 0.18.2 ± 0.30.95 ± 0.040.220 ± 0.030.192 ± 0.028.8 ± 0.3
LoamNT0–106.8 ± 0.013.0 ± 0.51.54 ± 0.130.379 ± 0.130.356 ± 0.058.5 ± 0.4
10–207.0 ± 0.012.1 ± 0.91.39 ± 0.210.361 ± 0.160.169 ± 0.058.8 ± 0.7
Mean: 0–206.9 ± 0.112.5 ± 0.51.46 ± 0.110.370 ± 0.08 0.263 ± 0.068.6 ± 0.3
RT0–106.9 ± 0.112.2 ± 1.11.45 ± 0.090.337 ± 0.020.324 ± 0.018.4 ± 0.2
10–207.1 ± 0.010.7 ± 0.71.27 ± 0.170.328 ± 0.010.157 ± 0.038.5 ± 0.6
Mean: 0–207.0 ± 0.111.4 ± 0.71.36 ± 0.090.332 ± 0.010.241 ± 0.058.4 ± 0.3
CT0–106.7 ± 0.110.4 ± 0.11.13 ± 0.080.266 ± 0.010.201 ± 0.039.3 ± 0.7
10–206.8 ± 0.111.7 ± 1.21.29 ± 0.110.265 ± 0.010.159 ± 0.019.2 ± 1.7
Mean: 0–206.7 ± 0.111.1 ± 0.61.21 ± 0.070.265 ± 0.010.180 ± 0.029.2 ± 0.8
Loam (average)6.9 ± 0.011.7 ± 0.41.34 ± 0.060.332 ± 0.030.228 ± 0.038.8 ± 0.3
NT—no-tillage, RT—reduced tillage and CT—conventional tillage.
Table 4. Plant available water (±standard error) in different soil textures, tillage systems, soil layers and water contents at freezing.
Table 4. Plant available water (±standard error) in different soil textures, tillage systems, soil layers and water contents at freezing.
FactorSoil
Texture
Tillage
System
Soil Layer
(cm)
Water Content at
Freezing
Plant Available Water
(m3 m−3)
FPr > F
Soil textureSandy loam 0.156 a ± 0.0032.730.1031
Loam 0.148 a ± 0.004
Tillage system No-tillage 0.162 a ± 0.0037.430.0012
Reduced tillage 0.140 b ± 0.004
Conventional tillage 0.153 a ± 0.005
Soil layer (cm) 0–10 0.151 a ± 0.0040.020.8756
10–20 0.152 a ± 0.003
Water content at freezing Air-dry0.159 a ± 0.0055.220.0078
Field capacity0.155 a ± 0.004
Near full saturation0.141 b ± 0.004
Plant available water data followed by the same letters are not significantly different at p < 0.05.
Table 5. The influence of tillage systems on plant available water contents at different water levels after freezing–thawing processes in different soil textures (data averaged across soil layers).
Table 5. The influence of tillage systems on plant available water contents at different water levels after freezing–thawing processes in different soil textures (data averaged across soil layers).
Tillage SystemPlant Available Water (PAW) After Freezing–Thawing at Different Water Contents (m3 m−3)
PAWADPAWFCPAWNS
Sandy LoamLoamSandy LoamLoamSandy LoamLoam
NT0.162 ab ± 0.0060.172 a ± 0.0090.165 a ± 0.0040.171 a ± 0.0080.145 a ± 0.0030.158 a ± 0.006
RT0.142 b ± 0.0030.143 a ± 0.0070.166 a ± 0.0080.129 b ± 0.0080.140 a ± 0.0090.122 b ± 0.012
CT0.176 a ± 0.0120.161 a ± 0.0160.157 a ± 0.0040.142 b ± 0.0100.151 a ± 0.0070.131 ab ± 0.010
Contrasts
NT vs. CT−0.014 *0.011 ns0.008 ns0.029 *−0.006 ns0.027 *
NT vs. RT0.020 **0.029 *−0.001 ns0.042 **0.004 ns0.036 **
RT vs. CT−0.034 **−0.018 ns0.009 ns−0.013 ns−0.011 ns−0.009 ns
Plant available water (±standard error) data followed by the same letters are not significantly different at p < 0.05. PAWAD—air-dry PAW, PAWFC—PAW at field capacity, PAWNS—PAW near full saturation, NT—no-tillage, RT—reduced tillage, and CT—conventional tillage. * p < 0.05; ** p < 0.01; and ns not significant.
Table 6. Correlation matrix of soil quality parameters at different water contents during the freeze–thaw processes in loam.
Table 6. Correlation matrix of soil quality parameters at different water contents during the freeze–thaw processes in loam.
ParametersNTRTCTWSAPAWSOCNPK
Air-dry soil
WSA—water-stable aggregates (%)67.3558.1461.75
PAW—plant available water (m3 m−3)0.1720.1430.1610.48 *
SOC—soil organic carbon (g kg−1)12.5311.4011.050.56 *0.78 **
N—total nitrogen (g kg−1)1.461.361.210.40 ns0.55 *0.94 **
P—available phosphorus (g kg−1)0.3700.3320.2650.46 *0.18 ns0.69 *0.85 **
K—available potassium (g kg−1)0.2630.2410.1800.38 ns0.28 ns0.68 *0.73 **0.54 *
C/N—carbon/nitrogen ratio8.648.429.250.09 ns0.16 ns−0.44 ns−0.71 **−0.81 **−0.56 *
Soil at field capacity
WSA—water-stable aggregates (%) 63.9155.0051.94
PAW—plant available water (m3 m−3)0.1710.1290.1420.72 **
SOC—soil organic carbon (g kg−1)12.5311.4011.050.73 **0.49 *
N—total nitrogen (g kg−1)1.461.361.210.76 **0.38 ns0.94 **
P—available phosphorus (g kg−1)0.3700.3320.2650.83 **0.51 *0.69 *0.85 **
K—available potassium (g kg−1)0.2630.2410.1800.75 **0.17 ns0.68 *0.73 **0.54 *
C/N—carbon/nitrogen ratio8.648.429.25−0.51 *0.03 ns−0.44 ns−0.71 **−0.81 **−0.56 *
Soil near full saturation
WSA—water-stable aggregates (%) 62.5959.9861.16
PAW—plant available water (m3 m−3)0.1570.1210.131−0.10 ns
SOC—soil organic carbon (g kg−1)12.5311.4011.050.65 *0.11 ns
N—total nitrogen (g kg−1)1.461.361.210.52 *0.10 ns0.94 **
P—available phosphorus (g kg−1)0.3700.3320.2650.23 ns0.42 *0.69 *0.85 **
K—available potassium (g kg−1)0.2630.2410.1800.81 **0.03 ns0.68 *0.73 **0.54 *
C/N—carbon/nitrogen ratio8.648.429.25−0.08 ns−0.01 ns−0.44 ns−0.71 **−0.81 **−0.56 *
NT—no-tillage, RT—reduced tillage, and CT—conventional tillage. * p < 0.05; ** p < 0.01; and ns not significant.
Table 7. Correlation matrix of soil quality parameters at different water contents during the freeze–thaw processes in sandy loam.
Table 7. Correlation matrix of soil quality parameters at different water contents during the freeze–thaw processes in sandy loam.
ParametersNTRTCTWSAPAWSOCNPK
Air-dry soil
WSA—water-stable aggregates (%)67.2357.6954.05
PAW—plant available water (m3 m−3)0.1620.1420.176−0.16 ns
SOC—soil organic carbon (g kg−1)8.637.788.180.49 *0.18 ns
N—total nitrogen (g kg−1)1.000.910.940.30 ns0.19 ns0.88 **
P—available phosphorus (g kg−1)0.2160.2730.1710.24 ns−0.61 *0.54 *0.58 *
K—available potassium (g kg−1)0.1810.2280.1670.14 ns−0.50 *0.63 *0.60 *0.97 **
C/N—carbon/nitrogen ratio8.968.578.740.35 ns−0.03 ns−0.06 ns−0.51 *−0.34 ns−0.27 ns
Soil at field capacity
WSA—water-stable aggregates (%)68.0762.0159.94
PAW—plant available water (m3 m−3)0.1650.1660.1570.18 ns
SOC—soil organic carbon (g kg−1)8.637.788.180.55 *−0.39 ns
N—total nitrogen (g kg−1)1.000.910.940.71 **−0.34 ns0.88 **
P—available phosphorus (g kg−1)0.2160.2730.1710.31 ns−0.11 ns0.54 *0.58 *
K—available potassium (g kg−1)0.1810.2280.1670.18 ns−0.25 ns0.63 *0.60 *0.97 **
C/N—carbon/nitrogen ratio8.968.578.74−0.38 ns0.16 ns−0.06 ns−0.51 *−0.34 ns−0.27 ns
Soil near full saturation
WSA—water-stable aggregates (%)63.4162.7748.71
PAW—plant available water (m3 m−3)0.1460.1390.151−0.60 *
SOC—soil organic carbon (g kg−1)8.637.788.180.49 *0.09 ns
N—total nitrogen (g kg−1)1.000.910.940.46 *0.30 ns0.88 **
P—available phosphorus (g kg−1)0.2160.2730.1710.83 **−0.52 *0.54 *0.58 *
K—available potassium (g kg−1)0.1810.2280.1670.71 **−0.48 *0.63 *0.60 *0.97 **
C/N—carbon/nitrogen ratio8.968.578.74−0.08 ns−0.40 ns−0.06 ns−0.51 *−0.34 ns−0.27 ns
* p < 0.05; ** p < 0.01; and ns not significant. NT—no-tillage, RT—reduced tillage, and CT—conventional tillage.
Table 8. Pathways of plant available water (PAW) response to WSA, SOC, N, P, K and C/N in loam.
Table 8. Pathways of plant available water (PAW) response to WSA, SOC, N, P, K and C/N in loam.
ParametersWSASOCNPKC/NPAW (rY)
Air-dry soil
WSA—water-stable aggregates (%)−2.2191.090−0.6391.5680.3710.3150.48 *
SOC—soil organic carbon (g kg−1)−1.2351.958−1.4952.3810.671−1.5040.78 **
N—total nitrogen (g kg−1)−0.8951.846−1.5862.9140.716−2.4440.55 *
P—available phosphorus (g kg−1)−1.0111.354−1.3423.4420.531−2.7920.18 ns
K—available potassium (g kg−1)−0.8391.339−1.1581.8620.981−1.9100.28 ns
C/N—carbon/nitrogen ratio−0.204−0.8581.129−2.799−0.5463.4320.16 ns
Soil at field capacity
WSA—water-stable aggregates (%)4.893−1.1172.879−4.252−2.3850.6990.72 **
SOC—soil organic carbon (g kg−1)3.559−1.5363.581−3.530−2.1880.5990.49 *
N—total nitrogen (g kg−1)3.709−1.4483.798−4.319−2.3350.9750.38 ns
P—available phosphorus (g kg−1)4.077−1.0623.215−5.102−1.7301.1130.51 *
K—available potassium (g kg−1)3.648−1.0512.773−2.761−3.1980.7620.17 ns
C/N—carbon/nitrogen ratio−2.4990.673−2.7044.1501.780−1.3690.03 ns
Soil near full saturation
WSA—water-stable aggregates (%)−1.4040.409−0.8240.4991.352−0.130−0.10 ns
SOC—soil organic carbon (g kg−1)−0.9130.628−1.4821.4761.149−0.7520.11 ns
N—total nitrogen (g kg−1)−0.7360.592−1.5721.8061.226−1.2220.10 ns
P—available phosphorus (g kg−1)−0.3290.435−1.3302.1340.908−1.3960.42 *
K—available potassium (g kg−1)−1.1310.430−1.1481.1541.679−0.9550.03 ns
C/N—carbon/nitrogen ratio0.106−0.2751.119−1.735−0.9341.716−0.01 ns
* p < 0.05; ** p < 0.01; and ns not significant. Number in bold—direct effect; underlined number—dominant effect.
Table 9. Pathways of plant available water (PAW) response to WSA, SOC, N, P, K and C/N in sandy loam.
Table 9. Pathways of plant available water (PAW) response to WSA, SOC, N, P, K and C/N in sandy loam.
ParametersWSASOCNPKC/NPAW (rY)
Air-dry soil
WSA—water-stable aggregates (%)0.3302.237−1.355−0.5100.089−0.947−0.16 ns
SOC—soil organic carbon (g kg−1)0.1624.554−3.930−1.1740.4080.1560.18 ns
N—total nitrogen (g kg−1)0.1004.010−4.463−1.2450.3911.3930.19 ns
P—available phosphorus (g kg−1)0.0782.473−2.570−2.1630.6320.941−0.61 *
K—available potassium (g kg−1)0.0452.851−2.677−2.0950.6520.726−0.50 *
C/N—carbon/nitrogen ratio0.114−0.2602.2750.745−0.173−2.733−0.03 ns
Soil at field capacity
WSA—water-stable aggregates (%)7.266−2.417−2.684−5.7723.818−0.0270.18 ns
SOC—soil organic carbon (g kg−1)3.965−4.430−3.328−10.19013.592−0.004−0.39 ns
N—total nitrogen (g kg−1)5.160−3.900−3.780−10.80613.023−0.036−0.34 ns
P—available phosphorus (g kg−1)2.234−2.405−2.176−18.76921.030−0.024−0.11 ns
K—available potassium (g kg−1)1.278−2.773−2.267−18.18121.710−0.019−0.25 ns
C/N—carbon/nitrogen ratio−2.7860.2521.9276.465−5.7650.0700.16 ns
Soil near full saturation
WSA—water-stable aggregates (%)−2.814−0.1750.9495.724−4.181−0.103−0.60 *
SOC—soil organic carbon (g kg−1)−1.376−0.3581.8283.766−3.696−0.0700.09 ns
N—total nitrogen (g kg−1)−1.286−0.3152.0763.994−3.541−0.6240.30 ns
P—available phosphorus (g kg−1)−2.322−0.1951.1956.937−5.718−0.422−0.52 *
K—available potassium (g kg−1)−1.993−0.2241.2456.719−5.903−0.325−0.48 *
C/N—carbon/nitrogen ratio0.2380.020−1.058−2.3891.5681.224−0.40 ns
* p < 0.05; and ns not significant. Number in bold—direct effect; underlined number—dominant effect.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kochiieru, M.; Pranaitienė, S.; Feiza, V.; Kochiieru, Y. The Effect of the Freeze–Thaw Process on Plant Available Water and Water-Stable Aggregates as a Function of Soil Tillage and Soil Chemical Quality. Agronomy 2026, 16, 916. https://doi.org/10.3390/agronomy16090916

AMA Style

Kochiieru M, Pranaitienė S, Feiza V, Kochiieru Y. The Effect of the Freeze–Thaw Process on Plant Available Water and Water-Stable Aggregates as a Function of Soil Tillage and Soil Chemical Quality. Agronomy. 2026; 16(9):916. https://doi.org/10.3390/agronomy16090916

Chicago/Turabian Style

Kochiieru, Mykola, Simona Pranaitienė, Virginijus Feiza, and Yuliia Kochiieru. 2026. "The Effect of the Freeze–Thaw Process on Plant Available Water and Water-Stable Aggregates as a Function of Soil Tillage and Soil Chemical Quality" Agronomy 16, no. 9: 916. https://doi.org/10.3390/agronomy16090916

APA Style

Kochiieru, M., Pranaitienė, S., Feiza, V., & Kochiieru, Y. (2026). The Effect of the Freeze–Thaw Process on Plant Available Water and Water-Stable Aggregates as a Function of Soil Tillage and Soil Chemical Quality. Agronomy, 16(9), 916. https://doi.org/10.3390/agronomy16090916

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop