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Article

Impact of Rice Straw Mulch on Soil Physical Properties, Sunflower Root Distribution and Yield in a Salt-Affected Clay-Textured Soil

by
Priya Lal Chandra Paul
1,2,*,
Richard W Bell
1,
Edward G. Barrett-Lennard
1,3 and
Enamul Kabir
4
1
Land Management Group, Centre for Sustainable Farming Systems, Future Food Institute, Murdoch University, Murdoch, WA 6150, Australia
2
Irrigation and Water Management Division, Bangladesh Rice Research Institute, Gazipur 1701, Bangladesh
3
Department of Primary Industries and Regional Development, South Perth, WA 6151, Australia
4
Agrotechnology Discipline, Khulna University, Khulna 9208, Bangladesh
*
Author to whom correspondence should be addressed.
Submission received: 22 February 2021 / Revised: 15 March 2021 / Accepted: 17 March 2021 / Published: 19 March 2021
(This article belongs to the Section Agricultural Water Management)

Abstract

:
Puddling of clay soils for rice transplanting causes a loss of soil structure and vertical shrinkage cracks that are hypothesized to hamper sunflower root growth in the following dry season. To alleviate soil constraints for sunflower root growth and yield, we examined the effects of three levels of mulch and two irrigation regimes in the dry season on a clay-textured soil in the coastal zone of Bangladesh. These treatments were no-mulch, rice straw mulch at 5 t ha−1 and 10 t ha−1, irrigation applied to the field capacity (I1) and a water supply double that of the I1 treatment (I2). The rice straw mulch significantly increased soil water content by 3–9% and decreased soil penetration resistance by 28–77% and crack volume by 84–91% at A 0–30 cm soil depth relative to the no-mulch treatment. The better root development with the rice straw mulch increased sunflower yield by 23%. No benefit or further reduction in soil penetration resistance or yield improvement was obtained from increasing the level of mulch from 5 to 10 t ha−1 or the volume of irrigation water. It is concluded that ameliorating soil constraints by mulch application led to better root growth in the upper root zone and the increased yield in the clay soil.

Graphical Abstract

1. Introduction

In the salt-affected coastal zone of the Ganges delta, as in many parts of Asia that grow wetland rice, puddling of clay soil through intensive tillage for rice establishment in the wet season damages soil structure, which during the following dry season leads to massive blocks of soil separated by abundant vertical shrinkage cracks [1,2]. The puddled soils typically have an apedal structure, a compacted layer below the puddled layer and high soil strength when soil water decreases during the dry season [3,4]. An ideal soil pore space usually holds 25% water and 25% air by volume, but soil compaction due to puddled tillage with the dispersion of soil aggregates reduces the pore space in the dry season, which causes a dense soil with impeded internal drainage and aeration [5]. As a result of the lowered porosity and deficiency of oxygen in compacted soils, expansion of the root tip is impaired, which decreases root penetration and elongation and results in poor plant growth and development [6,7]. Cook [8], who conducted experiments in clay soil in growth chambers and the field at Los Banos, in the Philippines, reported that high soil penetration resistance in dry soil was the major soil physical constraint affecting the seedling emergence of mungbean (Vigna radiata L. R. Wilczek). So and Woodhead [9] reported that increasing soil mechanical resistance decreased the root elongation of legume species such as soybean (Glycine max), and root growth ceased when soil resistance was greater than 3 MPa. Goodman and Ennos [10] found that sunflower (Helianthus annus L.) and maize (Zea mays L.) growing in strong (bulk density: 1.4 Mg m−3) and weak soil (bulk density: 1.0 Mg m−3) had no difference in the number or weight of first-order lateral roots, but there was a significant effect on the fresh and dry weights of shoots of both species. Another experiment conducted by Bayhan [5] reported that root development and growth of sunflower were reduced by about 22% with a soil penetration resistance of 1.6–1.8 MPa (0–20 cm) caused by wheel traffic.
In soils of the Ganges Delta, the predominant clay minerals are smectite and mica [11], and the drying of these can cause soil shrinkage and vertical cracking [12]. Cracks in the soil can cause bypass water flow from the soil surface to depth after rain or irrigation and can also cause an increase in water loss from soil profiles because greater soil surface area is more exposed to evaporation [13]. After irrigation, water moves quickly into crack networks and irrigation water can be lost from the root-zone through sub-soil infiltration and lateral drainage [13,14]. Cracks in the soil profile are said to impair the development and distribution of roots and grain yield [15,16,17], but effects may vary between crops. For example, there are also reports that soybean (Glycine max) roots can grow down crack walls and extract deeper subsoil water [18].
In this above study, measurements were made of water extraction by roots growing adjacent to soil cracks to 60 cm, but measurements were not made of the effects of cracks on root dry weight, total root length or root density at different depths in the soil profile. The application of straw mulch to a soil surface can stimulate the restoration of soil structure in compacted soils [19,20]. For instance, mulches increased soil water content, stabilized soil aggregation and improved infiltration rate, all of which can prevent or mitigate the increase in soil penetration resistance [21,22]. Studies have shown that straw mulch is effective in increasing soil water content [20], thus reducing soil compaction [23] and crack development [12] and improving crop productivity [24]. With sunflowers, previous studies have investigated the effect of soil compaction on root growth and yield [5,25], but there have been no detailed studies on sunflower root distribution in the soil profile under compacted and cracking conditions in clay-textured soils. A recent study conducted by [20] showed that mulching with rice straw increased sunflower yield, and this was attributed to increased soil water and a lower EC1:5 in surface soil layers, but the effects on root growth in this work were not reported. Although increases in soil penetration resistance have been reported to affect plant growth and root development in the literature, little work has been carried out on the sunflower root distribution in the soil profile in the saline clay-textured soils which are prevalent in the Ganges delta. Therefore, this study aimed to determine the effect of rice straw mulch together with different amounts of irrigation water on soil penetration resistance, crack dimension and sunflower root distribution in the profile of clay soil with a shallow water table.

2. Materials and Methods

2.1. Site Description

The experiment was established in a farmer’s field at Pankhali, Dacope Khulna Bangladesh (22°37′55″ N and 89°30′10″ E) from December 2018 to April 2019. This area is low-lying with an elevation 2–3 m above mean sea level [26] within the Ganges Tidal Floodplain agro-ecological zone [2]. The climate in this region is sub-tropical, with an average annual rainfall of ~1800 mm of which ~80% fall in the wet season. There is a cool dry winter from November to February and a hot and humid summer from March to June. During the study period, there was no rainfall from the beginning of the season until 22 February, but from flowering to maturity about 352 mm of rain was recorded (Figure 1). About half of the total seasonal rainfall occurred in the last week of February which inundated the plots. The temperature was lower in December and January (minimum average 12–14 °C) and higher in March and April (maximum average 31.8–33.9 °C). The lowest and highest temperatures were 8 °C and 35.5 °C in December and April, respectively (Figure 1). The soil texture is a silty clay (0–15 and 15–30 cm) overlying clay (30–45 and 45–60 cm). The details of soil properties at 0–60 cm soil depth are shown in Table 1. A medium duration high-yielding monsoon-season rice variety was grown in the wet season and was harvested in the third week of November. The excess standing water on the land was removed by surface drainage to prepare the plots for sunflower planting. Irrigation water was conserved in an adjacent canal by constructing an embankment between the river and canal before the river water turned saline.

2.2. Experimental Treatments and Crop Management

The experiment tested three mulching treatments: no-mulch (NM), rice straw mulch at 5 t ha−1 (RS5) and rice straw mulch at 10 t ha−1 (RS10), and two irrigation regimes: I1 (water was applied to raise soil water to field capacity at 30, 55 and 70 days after sowing (DAS)) and I2 (water applied at double the amounts of treatment I1 at 30, 55 and 70 DAS). The experiment was laid out in a split-plot design with three replications where irrigation was in the main plots and mulch in subplots. The plot size was 7 × 5 m, and sunflower seeds (cv. Hysun-33, hybrid) were dibbled into the un-tilled wet soil on 7 December by making a hole with a round stick to a depth of 2–3 cm. There was a plant-to-plant spacing of 40 cm and a row-to-row spacing of 70 cm. Plots were surrounded by thick polythene sheets inserted vertically beside a bund to 50 cm depth. In addition, a 1 m buffer zone between plots was maintained in order to prevent runoff or lateral seepage of irrigation water. The locally collected rice straw mulch was placed on the soil surface at 15 DAS (days after sowing). The fertilizer application was at 200, 200, 170, 170, 10 and 12 kg ha−1 as urea, triple superphosphate, muriate of potash, gypsum, zinc sulphate and boric acid. All fertilizers except 75% of the urea were applied at sowing by adding to a hole (5–7 cm deep) on both sides of the plant (~5 cm distance) along the rows; the rest of the urea was top-dressed in equal splits during the irrigation events. For pre-plant weed control, Roundup(R) (Glyphosate 62%) was sprayed (1.5 litre per hectare) seven days before sowing and a hand weeding was carried out at 25 DAS. Nitro (Cypermethrin Chlorpyriphos) was sprayed (0.6 litre per hectare) three times during the season to control hairy caterpillar. Figure 2 shows the soil crack formation and crop performance under the three mulching treatments. Before maturity, an overhead net was set up to prevent damage to crops by birds. Physiological maturity was determined when all seeds had turned black and shiny. At harvest, 6 m2 was selected in the middle of the plots in each replication to measure head diameter, number of seeds per head and thousand seed weight. Final grain yield was calculated (t ha−1) at an adjusted moisture content of 9% (w/w).

2.3. Soil Water Content and Irrigation Water Requirement

Soil samples were collected at 0–7, 7–15, 15–30, 30–45 and 45–60 cm depths at two-week intervals between sowing and harvest to measure gravimetric soil water content (SWC). A hand-held auger was used to collect samples from each depth, and soils were placed immediately in sealable polyethylene bags. The wet weight of the samples was measured immediately, and they were then oven-dried at 105 °C for about 48 h to obtain a constant weight. The SWC was calculated from the difference between soil wet and dry weight.
The gravimetric soil water content over the upper 60 cm of the soil was 33–35% at field capacity and 22–25% at wilting point. Irrigation water was applied by hose pipe during urea top dressing at 30, 55 and 70 DAS. The amount of irrigation water requirement was calculated based on the following Equation (1) [27]:
( I ) = n = i n P w i   A s i   D i 100
where I is the depth of irrigation water to be applied with one irrigation cycle (mm), Asi is bulk density of the ith layer of the soil, Di is the depth of the ith layer of the soil profile within the root zone to be irrigated (mm), Pw = FC-RL; FC is mean soil water content at field capacity (%, w/w), RL is residual soil water level before each irrigation in the iih layer of the soil profile (%, w/w) and n is a number of soil layers in the root zone depth.

2.4. Soil Penetration Resistance

After sowing, soil penetration resistance was measured using a cone penetrometer (Hand penetrometer Eijkelkamp) at the 0–7, 7–15 and 15–30 cm depths. Different sizes of cones (1 to 5 cm2 base area) were fitted to the extension rod as required to ensure that a uniform pressure could be applied to push the cone into the soil. In each measurement, the manometer reading in kN was recorded. The resistance was then calculated based on the surface area of the cone (manometer reading, kN/base area of cone, cm2), and finally the values were converted to MPa.

2.5. Soil Crack Dimension

Soil surface cracks were measured in each plot using a transect method [15]. The transect involves a series of six connected semi-circles of 1 m diameter. Each semi-circle was placed on the soil surface, and the number of intercepts was recorded to measure the length of crack per unit area of soil surface (LA, m m−2). The average depth (D) and width (W) of cracks intercepted by each semi-circle were counted from the first five cracks using a flexible ruler. Depth measurements were made by inserting the ruler gently into the cracks until the bottom was reached. The mean cross-sectional area ( X ¯ ) of cracks (assuming a triangular cross-section) was calculated using the average depth and width ( X   ¯   = d e p t h   × w i d t h 2 ). Finally, the volume of the crack per unit area (VA) was estimated as LA × X ¯ .

2.6. Root Measurements

Sunflower root distribution in the soil profile was observed at 25, 58 and 90 DAS (soil samples were taken in 20 × 20 cm square blocks based on a plant-to-plant spacing of 40 cm). At 25 DAS (seedling stage), shoots were separated from four selected plants in each plot, and the roots of each plant were excavated to a depth of 20 cm (maximum root length was at 15–20 cm soil depth). One plant was selected in each plot at 58 DAS (stage of maximum vegetative growth) and at 90 DAS (flowering stage). Shoots were excised and roots were excavated in a block 20 cm along the row, 20 cm across the row and at 20 cm deep increments to 60 cm at 58 DAS (root length was visible up to 60 cm) and down to 80 cm at 90 DAS (root length was visible up to 80 cm). Each block of soil was soaked in a bucket for 5–6 h. Roots were then separated from the slurry and washed out on a 2 mm sieve. Finally, the non-root materials were picked out from the samples. For each soil block, total root length (TRL) was measured manually using a ruler. Root dry weight (RDW) was measured after oven drying at 65 °C to reach a constant weight. Root length density (RLD) (root length/soil volume) and specific root length (SRL) (root length/ root dry weight) were then calculated for each soil depth.

2.7. Statistical Analyses

The data for yield parameters were analysed with two-way (mulch and irrigation) ANOVA using STAR software (Version 2.0.1). The effects of mulch and irrigation on soil water content, penetration resistance and crack properties were determined using four-way factorial ANOVA models that also took account of the effects of soil depth and date after sowing (time) as repeated measures. The comparison of means was tested using the least significance difference (LSD) at the 95% confidence level. The relationship between yield and soil parameters (soil water content, soil resistance and crack properties) were performed by Pearson’s test.

3. Results

3.1. Sunflower Yield and Yield Components

The interaction of mulch and irrigation did not affect the yield and yield components (Table 2). However, mulch treatments significantly increased grain yield and yield components (Table 2). The RS5 and RS10 treatments had a 0.5–0.6 t ha−1 higher yield than the NM treatment. With the RS5 and RS10 treatments, thousand seed weight, number of seeds per head and head diameter were significantly higher relative to the NM treatment (Table 2). However, there was no difference in yield or yield components between the RS5 and RS10 treatments. Irrigation treatments did not affect the yield and yield components except thousand seed weight, which was higher in the I2 treatment than the I1 treatment (Table 2).

3.2. Soil Water Content

The interaction of mulch and irrigation and irrigation treatments did not affect the SWC. However, the SWC was significantly affected by mulch treatments, soil depth and date after sowing (time), and there was a significant interaction between mulch and time (Figure 3A) and mulch and soil depth (Figure 3B). On 5 January, the SWC did not vary among the mulch treatments. The SWC was significantly lower from 20 January to 16 February in the NM treatment (22–33%) than with the RS5 and RS10 treatments (28–36%) (Figure 3A). From flowering to maturity (6 to 28 March), the SWC did not differ between treatments due to the seasonal rainfall. The greater change of SWC was at 0–30 cm, and below this depth there was little change (Figure 3B). The average SWC was high (31–34%) at 0–15 cm, decreased to about 29% at 30 cm and then increased again (33%) at 60 cm. The RS5 and RS10 treatments had significantly higher SWC at 0–30 cm depth than the NM treatment.

3.3. Soil Penetration Resistance

After crop establishment, there was an increasing trend of soil penetration resistance in all mulching treatments; however, rice straw mulch significantly limited the increase in soil penetration resistance (Figure 4). From the first week of January, soil penetration resistance was two-fold higher without mulch (NM treatment) than with mulch (RS5 and RS10 treatments), but there was no difference between the RS5 and RS10 treatments (Figure 4A–C). With the NM treatment, the average soil penetration resistance was highest (~5.2 MPa) at 0–7 cm and lower (2.8 and 3.1 MPa) at 7–15 and 15–30 cm depth on 30 January (Figure 4A–C). By contrast, with RS5 and RS10 treatments, the average soil resistance was lowest (1.0 MPa) at 0–7 cm and increased to 1.8 and 2.1 MPa at 7–15 and 15–30 cm. Throughout the season, the average soil resistance was smaller by 77%, 49% and 28% at 0–7, 7–15 and 15–30 cm depths, respectively, with the RS5 and RS10 treatments compared to the NM treatment. Irrigation treatments had no effect on soil resistance. There was a significant negative correlation between soil resistance and SWC (Figure 5). Soil resistance increased with decreasing SWC, and about 62% of the variation in soil resistance could be explained by SWC.

3.4. Soil Crack Development

Crack measurements were started 15 days after the application of rice straw mulch. Cracks were developed in all mulch treatments but with significant differences. Initially, the length of crack per unit area (LA) rose rapidly to a maximum of 8–9 m m−2 with the NM treatment and afterward decreased slightly (Figure 6A). Crack length increased at a lower rate up to a peak value of 3.8 and 2.9 m m−2 under RS5 and RS10 treatments. However, the RS10 treatment (mulch at 10 t ha−1) had significantly reduced crack length compared with the RS5 treatment (mulch at 5 t ha−1). From the first measurements with the NM treatment, the mean crack width and depth were much greater than with the other mulch treatments and reached a peak at 3 cm (width) and 17 cm (depth). By contrast, cracks were both shallower and narrower with the RS5 and RS10 treatments with values that varied from 1.0–1.6 cm and 1.0–1.3 cm (width) and 6.8–9.3 cm and 6.4–8.2 cm (depth), respectively (Figure 6B,C). The larger crack width and depth under the NM treatment exposed a much greater surface area of cracks compared to the RS5 and RS10 treatments (Figure 6D). From the first sampling, the rate of increase in crack volume was much faster with the NM treatment, which increased from 0.005 on 5 January to 0.02 m3 m−2 at the peak on 27 January (Figure 6E). By contrast, in the RS5 and RS10 treatments, the crack volume increased from 0.0009 to 0.0023 m3 m−2 (from 5 January to 27 January). Irrigation treatments only affected the length per unit area (LA); the I2 treatment had a significantly lower LA value (4.1 m m−2) than the I1 treatment (4.5 m m−2) (data not presented).

3.5. Root Distribution

The interaction of mulch and irrigation had no effects on all measures of root parameters. At the seedling stage (25 DAS), there was no effect of mulch on root distribution (data not shown), but at bud formation (58 DAS) and at flowering (90 DAS) all measures of root distribution were significantly affected by mulch treatments, soil depth and the interaction between mulch and depth, except that mulch had no effect on SRL at flowering (Figure 7 and Figure 8).
At bud formation and flowering, the RDW, TRL and RLD values were highest at 0–20 cm and were 71–97% lower at the deepest depth measured (40–60 cm at bud formation; 60–80 cm depth at flowering). The RS5 and RS10 treatments significantly increased RDW, TRL and RLD values at 0–20 cm at bud formation, but only increased RDW at 0–20 cm at flowering (Figure 7 and Figure 8). On average, the RS5 and RS10 treatments had 22–38% higher RDW compared with the NM treatment. During bud formation, the TRL was higher with RS5 and RS10 treatments than with the NM treatment at a 0–20 cm depth, but at a 40–60 cm depth the TRL was significantly higher with the NM treatment than RS5 and RS10 treatments (Figure 7B). On the other hand, at flowering, the NM treatment had a higher TRL at 0–20 and 60–80 cm than with the RS5 and RS10 treatments; the reason for the increase in shallow roots in the NM plots was the huge number of new adventitious roots formed near the surface after the soil was flooded due to heavy rainfall. The SRL increased with depth at bud formation and flowering. However, mulch had no effect on SRL at 0–20 cm at bud formation or at all depths at flowering (Figure 7D and Figure 8D).

3.6. Relationships between Soil Factors and Yield

Correlations between yield and soil factors showed that yield was significantly positively correlated with the SWC, whereas yield was significantly negatively correlated with soil peneration resistance and crack factors (r2 = 0.57–0.76; p < 0.05) (Table 3). Crack parameters (length density, width, depth, area and volume) explained the most yield variation (R2 = 0.55–0.58). The SWC and soil penetration resistance accounted for about 32% and 34% variation in the yield (Table 3).
There was also a significant relationship between yield and root parameters during bud formation and flowering at different depths in the soil (Table 4). The most significant impacts on yield were RDW at a 0–20 cm soil depth at bud formation (p < 0.001) and flowering (p < 0.01) stages, while below this depth there was no correlation. During bud formation, TRL and RLD at 0–40 cm were significantly (p < 0.05) correlated with yield, but at flowering these factors, as well as SRL, were only significant (p < 0.05) at a 60–80 cm depth (Table 4).

3.7. Effects of Cracks and Soil Penetration Resistance on Root Distribution

In general, crack parameters (width, length density, depth, cross-sectional area and volume) had negative effects on the RDW and TRL at bud formation but not at flowering; the single exception was an effect of crack depth at flowering on TRL (Table 5). Among the crack parameters, the crack width and length area had the strongest relationships with RDW (r2 = 0.72 and 0.73), while there was a greater influence of crack volume on TRL (r2 = 0.54) at bud formation (Table 5). Soil penetration resistance was also negatively correlated with the root distribution of sunflowers. Increasing soil penetration resistance significantly reduced the RDW and TRL at bud formation (Figure 9A,B). At flowering, RDW was also decreased with increasing soil penetration resistance, but there was no relation with TRL (Figure 9C,D).

4. Discussion

Roots are difficult to extract from clay soils in the field. As a result, relatively few field datasets exist for clay soils in which changes in rooting patterns due to subsoil constraints can be correlated with variation in crop grain yield. Figure 10 presents the key interactions between soil water content, cracks and soil penetration resistance, the production of roots and grain yield. This schematic “roadmap” shows that while soil water content was significantly correlated with grain yield (r2 = 0.57; p < 0.05), the mechanism through which this occurred may have been through the development of cracks that affected the formation of roots (crack width against total root weight at 0–60 cm r2 = 0.73; p < 0.01). The r2 (correlation coefficient) of relationships between crack or root parameters and grain yield was greater than the r2 of the relationship between soil water content and yield or soil penetration resistance and yield (Figure 10).
In the present work, rice straw mulch (5 t ha−1 and 10 t ha−1) reduced soil cracking and soil penetration resistance and increased soil water content; these changes were associated with the increased formation of shallow roots (0–20 cm depth) and a 23% increase in the yield of sunflowers. This discussion focuses on the effects of mulch on soil properties (soil water content, soil penetration resistance and crack development) and the effects of mulch and soil properties on roots and yield.

4.1. Soil Water Content, Soil Penetration Resistance and Crack Development

In the current study, grain yield was strongly affected by the presence of cracks and then by changes in soil resistance, and mulch ameliorated both of these. Furthermore, the use of mulch was more effective at suppressing crack formation than the use of irrigation; plots without mulch developed a substantial crack network even with two irrigation events, but plots with rice straw mulch (5 t ha−1 and 10 t ha−1) had lowered cracks developments using all the parameters we measured. The smaller amount of crack formation under rice straw mulch was associated with a higher content of surface soil water. This finding supports the previous study conducted by Bandyopadhyay [28] who reported that for clay-textured soil, crack depth, width, area and volume increased with decreasing SWC at a 0–15 cm soil depth. Another study at Los Banos, Philippines reported that straw mulch at 5 t ha−1 in a fallow rice field reduced mean crack width by around 32% but did not reduce mean crack depth compared to the no-mulch plot [12].
Soil penetration resistance was another factor that was altered by mulches. In the absence of surface cover, no-tillage cultivation in clayey soils is problematic for soil physical properties and crop production [2]. Puddled clay soils with a high content of swell-shrink clay minerals become strong and compacted when dried. At seedling stage (28 December), soil penetration resistance was < 0.5 MPa and non-limiting to root growth. Soil penetration resistance was highest at the vegetative stage (30 January), when values exceeded 5 MPa in no-mulch plots but were 1 MPa in mulched plots at 0–7 cm soil depth. Although previous literature [29] pointed out that root growth was slowed by soil penetration resistance of 1 MPa and completely ceased at 5 MPa, the high values in current study did not limit the RDW and TRL, presumably because when soil penetration resistance was high, tap roots were able to overcome the compacted layer (0–20 cm) and had started development into the deeper soil profile at 40–60 cm.
Throughout the season, the average soil penetration resistance was 67% lower with the RS5 and RS10 treatments than with the NM treatment. The cause of the higher soil penetration resistance with the NM treatment was mainly related to decreased soil water content (Figure 5). In line with the current study, several previous studies have reported that using mulch on bare soil can reduce soil resistance by enhancing soil water holding capacity, increasing soil porosity and improving microbial activities [30,31,32]. In addition, mulch has been noted to improve the mineralization of soil organic carbon and nitrogen, which leads to the stabilization of soil aggregates and the amelioration of soil penetration resistance [33,34]. Increasing the level of mulch from 5 t ha−1 to 10 t ha−1 and increasing the volume of irrigation water applied to the above field capacity did not affect soil penetration resistance throughout the study period.

4.2. Root Distribution

Data presented in this paper show that sunflower roots on clay soil are distributed according to several principles: (a) root dry mass, root length and root length density are greater at 0–20 cm than at depths in the soil profile, and mulches can increase root dry mass at 0–20 cm which increases grain yield; (b) roots can penetrate to considerable depths (to 80 cm) in this clayey, seasonally anaerobic soil; and (c) these effects occur despite or because of the presence of soil cracks and very high soil penetration resistances.
In the present work, around 90–95% of total sunflower root biomass and 70–80% of total root length were concentrated in the 0–20 cm depth. Plant yield was most affected by total root dry mass at the 0–20 cm depth at the bud formation stage (r2 = 0.52; p < 0.001) (Table 4). At 58 and 90 DAS, some roots were found at 40–80 cm depth; these were not a large proportion of total root weight (3% of those at 0–20 cm depth), but they were substantially finer roots at 40–80 cm than the roots at 0–20 cm, which increased SRL at 40–80 cm depth (Figure 7D and Figure 8D). Indeed, the greater development of fine roots in the no-mulched soil may suggest that the cracks aid in deeper penetration of sunflower roots. These fine roots with a high surface area to volume ratio may be functionally important for extracting nutrients and water from the deeper layers of clay-textured soil [35] but may also have been better equipped than thick roots to glean oxygen from this hypoxic soil environment. Overall, sunflower yield was best related to the shallow roots (0–20 cm) (Table 4).
In our study, root distribution in the soil profile was influenced by soil cracking and penetration resistance (Table 5 and Figure 9). How is it that fine roots are able to grow to depths of 80 cm in this massive soil that is anaerobic immediately after the rice phase and presumably also anaerobic at depth in the rabi season? We wonder if the development of cracks as the soil dries provides an opportunity for roots to receive sufficient oxygen for metabolism from the soil adjacent to the crack void and if a low soil strength in the wet sub-soil allows root to elongate. Given this, we might expect that roots would be located in the soil close to the cracks within the massive blocks of clay between the cracks.
One interesting feature of the current experiment was how late season waterlogging affected root growth. Waterlogging due to heavy rainfall can change root distribution [36]. In the present work, after the heavy rain (175 mm) at flowering, adventitious roots were produced more abundantly at a 0–20 cm soil depth on the no-mulch plot resulting in a higher TRL and RLD than in the mulched plots. Despite this adventitious root formation, RDW was still greater with the RS5 and RS10 treatments than the NM treatment at the 0–20 cm soil depth. On the other hand, despite the greater abundance of fine roots at 40–80 cm under no-mulch as compared to the mulch plots, they were not able to compensate for lower root growth in the 0–20 cm layer, possibly because the deeper roots formed too late in the growing season.
Although root growth is negatively affected by compacted soil, there is a good evidence that plants have adaptations to cope with increasing soil penetration resistance [37]. In strong soil, the primary roots of plants can be thicker and shorter, and tap roots can be grown more rapidly than in normal soil [10,26]. However, lateral roots can be thinner, which enables the tips to find cracks, void and smaller pores to penetrate through hard layers, including plough pans [38,39,40]. As the highest soil penetration was at a 0–7 cm depth and decreased further down the soil profile in the no-mulch plot, roots grew into the weaker sub-soil after exiting the surface layer of strong soil because of the increase in the availability of soil water with depth.

4.3. Sunflower Growth and Yield

In the present work, using rice straw mulch (5 and 10 t ha−1) on clay-textured soil increased sunflower yield by around 23% and increased seeds per head by 15% compared to the no-mulch treatment. The higher yield and yield components under straw mulch were attributed to the decreased crack formation and lower soil penetration resistance (associated with higher SWC), which enhanced dry root weight and total root length. The yield was highly correlated with crack parameters and to a lesser extent soil penetration resistance and SWC. This yield improvement is of a similar scale to other examples in the literature. At the same location, a previous study showed that straw mulch at ~5 t ha−1 boosted sunflower yield by 16–26% relative to no-mulch [20]. So and Ringrose-Voase [32] also reported that using rice straw mulch at 5 t ha−1 in strongly compacted soil increased mungbean yield by 30% in Indonesia.

5. Conclusions

Soil shrinkage and crack development during the drying of puddled clay soil were related to increased soil penetration resistance and reduced root growth and development of sunflowers in the upper 20 cm of soil. In the present work, rice straw mulch at 5 t ha−1 increased soil water content while also reducing soil penetration resistance and cracking in the surface soil. Improvement of the soil’s physical properties and a higher root biomass in the 0–20 cm soil depth under the rice straw mulch increased the sunflower yield by 23%. No further benefits (for soil penetration resistance and sunflower growth and yield) were obtained by increasing the mulch level from 5 to 10 t ha−1 or by increasing the volume of irrigation water. Thus, ameliorating soil physical constraints in clay soils of the coastal zone of the Ganges Delta increased root growth at the 0–20 cm soil depth and consequently increased sunflower yield.

Author Contributions

Conceptualization, P.L.C.P.: methodology, P.L.C.P.; software, P.L.C.P.; validation, P.L.C.P.; formal analysis, P.L.C.P.; investigation, P.L.C.P., R.W.B., E.G.B.-L. and E.K.; data curation, P.L.C.P. and R.W.B.; writing—original draft, P.L.C.P.; writing—review and editing, R.W.B., E.G.B.-L. and E.K.; visualization, P.L.C.P.; supervision, R.W.B., E.G.B.-L. and E.K.; project administration, R.W.B.; fuding acquisition, P.L.C.P., R.W.B., E.G.B.-L. and E.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Australian Center for International Agricultural Research (ACIAR), grant number LWR/2014/073.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The analyzed datasets are available from the corresponding author on reasonable request.

Acknowledgments

We would like to thank the Australian Centre for International Agricultural Research (ACIAR) (Project LWR/2014/073) for funding this research work and for a John Allwright Fellowship to the senior author. We are grateful to the Soil Science Division laboratory and Irrigation and Water Management Division, Bangladesh Rice Research Institute, Bangladesh for their kind support to analyse soil samples. Al Imran Malik is acknowledged for his reviewing the manuscript.

Conflicts of Interest

The authors declare that they have no conflict of interest.

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Figure 1. Weather details (daily rainfall, minimum and maximum temperature) for the 2018–2019 growing season at Pankhali, Dacope Khulna, Bangladesh.
Figure 1. Weather details (daily rainfall, minimum and maximum temperature) for the 2018–2019 growing season at Pankhali, Dacope Khulna, Bangladesh.
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Figure 2. Pictorial view of cracked soil during sunflower growth (A) and the effects of mulch treatments on sunflower growth: (B) no-mulch, (C) mulch at 5 t ha−1, and (D) mulch at 10 t ha−1.
Figure 2. Pictorial view of cracked soil during sunflower growth (A) and the effects of mulch treatments on sunflower growth: (B) no-mulch, (C) mulch at 5 t ha−1, and (D) mulch at 10 t ha−1.
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Figure 3. Effects mulch on soil water content (SWC) in the 2018–2019 season: (A) effect of mulch and the interaction between mulch and time and (B) interaction between mulch and soil depth. LSD0.05 is the least significant difference of the interaction between mulch and time (A) or mulch and soil depth (B). Part A is the average for the five soil depths. Part B is the average of values at eight times. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1.
Figure 3. Effects mulch on soil water content (SWC) in the 2018–2019 season: (A) effect of mulch and the interaction between mulch and time and (B) interaction between mulch and soil depth. LSD0.05 is the least significant difference of the interaction between mulch and time (A) or mulch and soil depth (B). Part A is the average for the five soil depths. Part B is the average of values at eight times. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1.
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Figure 4. Effects of mulch on soil penetration resistance in the 2018–2019 season: (A) at 0–7 cm, (B) 7–15 cm, and (C) 15–30 cm. LSD0.05 is the least significant difference of the interaction between mulch, depth and time in each graph at a p-value of 0.05. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1. Note: 7 December was the sowing date for sunflower.
Figure 4. Effects of mulch on soil penetration resistance in the 2018–2019 season: (A) at 0–7 cm, (B) 7–15 cm, and (C) 15–30 cm. LSD0.05 is the least significant difference of the interaction between mulch, depth and time in each graph at a p-value of 0.05. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1. Note: 7 December was the sowing date for sunflower.
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Figure 5. Relationship between average soil water content and average soil resistance (0–30 cm soil depth) from sowing to bud formation. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1. *** indicates significance at 0.1% probability level.
Figure 5. Relationship between average soil water content and average soil resistance (0–30 cm soil depth) from sowing to bud formation. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1. *** indicates significance at 0.1% probability level.
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Figure 6. Effects of mulch treatments on crack parameters: (A) length per unit area, (B) mean width, (C) mean depth, (D) mean cross-sectional area, and (E) crack volume per unit area. LSD0.05 is the least significant difference of the interaction in each graph between mulch and time at a p-value of 0.05. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1. Note: the sunflower crop was sown on 7 December.
Figure 6. Effects of mulch treatments on crack parameters: (A) length per unit area, (B) mean width, (C) mean depth, (D) mean cross-sectional area, and (E) crack volume per unit area. LSD0.05 is the least significant difference of the interaction in each graph between mulch and time at a p-value of 0.05. NM = no-mulch; RS5 = rice straw at ~5 t ha−1; RS10 = rice straw at ~10 t ha−1. Note: the sunflower crop was sown on 7 December.
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Figure 7. Effects of mulch treatments on root parameters at different soil depths at bud formation (at 58 DAS) in 2018–2019: (A) mean root dry weight (RDW), (B) total root length (TRL), (C) root length density (RLD), and (D) specific root length (SRL). LSD0.05 is the least significant difference of the interaction between mulch and depth. NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1.
Figure 7. Effects of mulch treatments on root parameters at different soil depths at bud formation (at 58 DAS) in 2018–2019: (A) mean root dry weight (RDW), (B) total root length (TRL), (C) root length density (RLD), and (D) specific root length (SRL). LSD0.05 is the least significant difference of the interaction between mulch and depth. NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1.
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Figure 8. Effects of mulch treatments on root parameters at different soil depths at flowering (at 90 DAS) in 2018–2019: (A) mean root dry weight (RDW), (B) total root length (TRL), (C) root length density (RLD), and (D) specific root length (SRL). LSD0.05 is the least significant difference in the interaction between mulch and depth. NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1.
Figure 8. Effects of mulch treatments on root parameters at different soil depths at flowering (at 90 DAS) in 2018–2019: (A) mean root dry weight (RDW), (B) total root length (TRL), (C) root length density (RLD), and (D) specific root length (SRL). LSD0.05 is the least significant difference in the interaction between mulch and depth. NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1.
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Figure 9. Relationship between average soil penetration resistance (0–30 cm) and root parameters in 2018–2019: (A) total root dry weight (RDW), (B) total root length (TRL) at bud formation, and (C) total root dry weight, (D) total root length at flowering. NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1; NS = non-significant.
Figure 9. Relationship between average soil penetration resistance (0–30 cm) and root parameters in 2018–2019: (A) total root dry weight (RDW), (B) total root length (TRL) at bud formation, and (C) total root dry weight, (D) total root length at flowering. NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1; NS = non-significant.
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Figure 10. Schematic diagram summarizing the best relationships between the various factors studied in this paper. Values in the brackets indicate the r2 and significance of the simple linear regression between the two named variables. RDW = root dry weight; SWC = soil water content. * ** and *** indicate significance at 5%, 1% and 0.1% probability level. NS = non-significant.
Figure 10. Schematic diagram summarizing the best relationships between the various factors studied in this paper. Values in the brackets indicate the r2 and significance of the simple linear regression between the two named variables. RDW = root dry weight; SWC = soil water content. * ** and *** indicate significance at 5%, 1% and 0.1% probability level. NS = non-significant.
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Table 1. Physicochemical properties of the soil in Pankhali, Dacope, Khulna, Bangladesh in 2018–2019.
Table 1. Physicochemical properties of the soil in Pankhali, Dacope, Khulna, Bangladesh in 2018–2019.
Depth (cm)pHEC1:5 *
dS m−1
Bulk Density
(Mg m−3)
Organic
C
(g kg−1)
Total N (g kg−1)Extractable Soil Texture
PSBZn
g cm−3(mg kg−1)
0–157.10.381.3913143.2881.30.80Silty clay
15–307.40.321.559122.0661.20.82Silty clay
30–457.60.391.507112.5601.30.83Clay
45–607.40.421.457102.6721.40.81Clay
* EC1:5 is the electrical conductivity (dS m−1) of the 1:5 soil: water extract.
Table 2. Yield and yield attributes of sunflower under different mulch treatments and irrigation regimes in Pankhali, Dacope, Bangladesh in 2018–2019.
Table 2. Yield and yield attributes of sunflower under different mulch treatments and irrigation regimes in Pankhali, Dacope, Bangladesh in 2018–2019.
Irrigation RegimesMulch TreatmentsYield (t ha−1)Thousand Seed Weight (g)Seeds per HeadHead Diameter (cm)
I1RS103.182.0150520.4
RS53.081.5147920.3
NM2.574.0128518.6
I2RS103.387.0158221.1
RS53.284.5155720.6
NM2.879.0134519.2
Treatment means
I1 2.979.0142319.8
I2 3.184.0149520.3
RS10 3.285.0154420.8
RS5 3.183.0151820.5
NM 2.676.5131518.9
p-values
Irrigation NS0.05NSNS
Mulch 0.050.050.010.05
Irrigation x Mulch NSNSNSNS
LSD0.05
Irrigation -2.0--
Mulch 0.36.21091.3
Irrigation x Mulch ----
I1 = irrigation up to field capacity; I2 = irrigation double that in treatment I1; NM = no-mulch; RS5 = rice straw ~5 t ha−1; RS10 = rice straw ~10 t ha−1; NS = non-significant.
Table 3. Relationship between yield and soil factors (soil water content, soil penetration resistance and crack parameters).
Table 3. Relationship between yield and soil factors (soil water content, soil penetration resistance and crack parameters).
Soil FactorsCorrelation Coefficient (r2)Regression EquationCo-Efficient Determination (R2)
Soil water content (SWC)(+) 0.57 *Y = 0.13 SWC − 1.490.32
Soil penetration resistance(−) 0.58 *Y = −0.50 SR + 3.430.34
Crack parameters
Crack length per unit area (LA)(−) 0.76 ***Y = −0.104 LA + 3.430.58
Crack width (W)(−) 0.75 ***Y = −0.42 W + 3.650.57
Crack depth (D)(−) 0.72 ***Y = −0.09 D + 3.770.53
Crack cross-sectional area (A)(−) 0.74 ***Y = −446.74 A + 3.350.56
Crack volume (V)(−) 0.74 ***Y = −47.52 V + 3.210.55
* and *** indicate significance at 1% and 0.1% probability level.
Table 4. Relationships between yield and root parameters at a 0–60 cm (at 58 DAS) and a 0–80 cm depth (at 90 DAS).
Table 4. Relationships between yield and root parameters at a 0–60 cm (at 58 DAS) and a 0–80 cm depth (at 90 DAS).
Soil Depth (cm)At Bud Formation (58 DAS)At Flowering (90 DAS)
p-Levels and r2 Values in Bracketsp-Levels and r2 Values in Brackets
RDWTRLRLDSRLRDWTRLRLDSRL
0–20*** (0.52)* (0.31)* (0.31)NS** (0.34)NSNS* (0.24)
20–40NS* (0.26)* (0.26)NSNSNSNSNS
40–60NSNSNSNSNSNSNSNS
60–80----NS* (0.22)* (0.22)** (0.35)
*, ** and *** indicate significance at 5%, 1% and 0.1% probability level. NS = non-significant.
Table 5. Significance of relationships of crack parameters to root dry weight and total root length at bud formation (average 0–60 cm) and flowering stage (average 0–80 cm soil depth).
Table 5. Significance of relationships of crack parameters to root dry weight and total root length at bud formation (average 0–60 cm) and flowering stage (average 0–80 cm soil depth).
Crack ParametersTotal Root Dry Weight at Bud FormationTotal Root Dry Weight at FloweringTotal Root Length at Bud FormationTotal Root Length at Flowering
p-Levels with r2 Values in Brackets
Width (W)** (0.73)NSNSNS
Length per unit area (LA)** (0.72)NS* (0.44)NS
Depth (D)** (0.68)NS* (0.48)* (0.44)
Cross-sectional area (A)** (0.67)NS* (0.47)NS
Volume (V)** (0.66)NS* (0.54)NS
* and ** indicate significance at 5% and 1% probability level. NS = non-significant.
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Paul, P.L.C.; Bell, R.W.; Barrett-Lennard, E.G.; Kabir, E. Impact of Rice Straw Mulch on Soil Physical Properties, Sunflower Root Distribution and Yield in a Salt-Affected Clay-Textured Soil. Agriculture 2021, 11, 264. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11030264

AMA Style

Paul PLC, Bell RW, Barrett-Lennard EG, Kabir E. Impact of Rice Straw Mulch on Soil Physical Properties, Sunflower Root Distribution and Yield in a Salt-Affected Clay-Textured Soil. Agriculture. 2021; 11(3):264. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11030264

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Paul, Priya Lal Chandra, Richard W Bell, Edward G. Barrett-Lennard, and Enamul Kabir. 2021. "Impact of Rice Straw Mulch on Soil Physical Properties, Sunflower Root Distribution and Yield in a Salt-Affected Clay-Textured Soil" Agriculture 11, no. 3: 264. https://0-doi-org.brum.beds.ac.uk/10.3390/agriculture11030264

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