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Article

Risk Assessment of Heavy Metals Contamination in Soil and Two Rice (Oryza sativa L.) Varieties Irrigated with Paper Mill Effluent

1
Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
2
Agro-ecology and Pollution Research Laboratory, Department of Zoology and Environmental Science, Gurukula Kangri (Deemed to Be University), Haridwar 249404, Uttarakhand, India
3
Biology Department, College of Science, King Khalid University, Abha 61321, Saudi Arabia
4
Botany Department, Faculty of Science, Kafrelsheikh University, Kafr El-Sheikh 33516, Egypt
5
Department of Agricultural and Biosystems Engineering, University of Ilorin, Ilorin PMB 1515, Nigeria
6
Department of Agricultural Civil Engineering, Kyungpook National University, Daegu 41566, Korea
7
Department of Agronomy, Faculty of Agronomy, University of Forestry, 10 Kliment Ohridski Blvd, 1797 Sofia, Bulgaria
8
Department of Plant Production, Faculty of Agriculture, Lebanese University, Beirut 1302, Lebanon
9
Department of Environmental Science, Graphic Era (Deemed to be University), Dehradun 248002, Uttarakhand, India
10
Nehru College, Pailapool, Affiliated Assam University, Silchar 788098, Assam, India
11
University of Zagreb, Faculty of Agriculture, Svetosimunska 25, 10000 Zagreb, Croatia
*
Authors to whom correspondence should be addressed.
Agriculture 2022, 12(11), 1864; https://doi.org/10.3390/agriculture12111864
Submission received: 27 September 2022 / Revised: 20 October 2022 / Accepted: 3 November 2022 / Published: 6 November 2022
(This article belongs to the Special Issue Agricultural Environmental Pollution, Risk Assessment, and Control)

Abstract

:
Heavy metal pollution from industrial wastewaters has become an issue of global concern. These wastewaters are frequently used for inland irrigation which possess a serious risk of heavy metal contamination of both soil and cultivated crops. The problem is more common in developing countries like India where industrial wastewaters are often discharged without appropriate treatments. Therefore, this study aimed at assessing the impact of paper mill effluent for irrigation on the growth, productivity, and heavy metal accumulation potential of two rice (Oryza sativa L.) varieties (PB-1121 and PR-121). Water, soil, and rice crop samples were obtained from the vicinity of Saharanpur city, Uttar Pradesh, India, and subsequently analyzed for selected physicochemical and heavy metal parameters. Results showed that paper mill effluent and nearby Kali River water had significant (p < 0.05) loads of pollutants that impacted the soil properties. Moreover, the maximum plant height (123.48 ± 4.86 and 98.83 ± 2.02 cm); total chlorophyll (6.70 ± 0.25 and 6.64 ± 0.17 mg/g); leaf carotenoids (0.67 ± 0.08 and 0.63 ± 0.05 mg/g); starch content (71.08 ± 2.05 and 72.60 ± 1.63%); amylose content (25.10 ± 1.32 and 20.28 ± 1.24%); crop yield (4270.20 ± 75.12 and 5830.58 ± 63.10 kg/ha); and straw yield (5472.05 ± 93.90 and 6683.76 ± 61.26 kg/ha) of PB-1121 and PR-121, respectively, were observed using Kali River water irrigation source as compared to paper mill effluent and borewell water. The order of heavy metal accumulation in rice straw and grain followed: Fe > Mn > Zn > Cu > Cr > Cd. Similarly, the bioaccumulation factors for heavy metals in rice straw and grain were observed as >1 and <1, respectively. Moreover, the target hazard quotient (THQ) showed that there was no potential health risk of heavy metal in rice irrigated with contaminated water supply except for the PR-121 variety irrigated with Kali River water where the health risk index (HRI) value exceeded the limit (>1). As a result, the findings of this study provide useful information about the current state of heavy metal pollution and the health risks associated with rice crops irrigated with contaminated water sources.

1. Introduction

Water insecurity and pollution of limited available water resources are of the major challenges of the twenty-first century. According to the report of the United Nations [1], around 80% of wastewater is discharged into the environment without any pre-treatment. Among these wastewaters, industrial ones contain dangerous heavy metals, nitrates, nitrites, organic carbon, and organic and inorganic phosphorus of high concentration levels threatening humans and aquatic lives [2]. A direct result of such wastewaters’ discharge into water sources is the eutrophication and the constitution of a toxin-producing waterborne pathogens’ platform [3]. The impact study of such wastewaters’ reuse in crop irrigation is usually investigated but lacks reliability in most cases [4]. It was reported that the type of wastewater and the sensitivity of plant species regulate the negative impact of industrial wastewater on cultivated crops [5]. Although these authors outlined that industrial wastewater did not affect seed germination of lettuce (Lactuca sativa) cucumber (Cucumis sativus), and muskmelon (Cucumis melo), it decreased the root and shoot length of C. sativus. However, the application of industrial wastewaters in common wheat (Triticum aestivum) resulted in reductions in seed germination, seedling fresh and dry weights, vigor and tolerance indices, plant height, number of leaves, root fresh and dry weights, shoot fresh and dry weights [6]. The pesticide residues, oils as well as heavy metals found in industrial wastewater are considered threatening contaminants that impart disorders in soil microbiota functioning and deleterious effects on crop productivity, crop composition, and thus pose as potential human health risks [7].
On the other hand, soil chemical composition may contribute to heavy metals’ leaching and their increased mobility when soil pH decreases [8]. In this context, positive correlations were found between soil pH and amounts of manganese (Mn), cadmium (Cd), and lead (Pb) with Cd and Pb being the most highly mobile heavy metals in soil [9]. Besides their increased mobility and leaching potential in low pH soil, heavy metals are high competitors to adsorption and subsequent uptake by plants [10], which inhibits other essential metals’ absorption by the latter. Regarding soil microbiota, it was reported that chromium (Cr) significantly limits soil bacteria and Actinomycetes populations [11]. These microbiotas have shown a decrease in their biological activity in acidic soils, translated by the inhibition of free nitrogen fixation and therefore a decrease in arable land fertility [12]. The strong correlation between soil organic matter and available nitrogen on one hand and richness and diversity in soil microbiota on the other hand further explains how heavy metals directly affect the latter [13]. Furthermore, two Gram-positive isolates found naturally in soil (Paenibacillus sp. and Bacillus thuringeinsis) have shown some tolerance for increased Cd and zinc (Zn) concentrations for the former and copper (Cu) concentration for the latter [14]. Although these findings are promising, most soil microbiotas including the two isolates still suffer from increased heavy metal concentrations as being highly sensitive, pushing them to adopt defensive mechanisms to survive [15]. Moreover, a human intervention consisting of the raise of soil pH can contribute to the suppression of Cd and Cu accumulation in wheat grains [16]. However, once soil microbiotas are affected, crop yield, composition, and quality are consequently altered. Lead-contaminated wheat fields showed reduced chlorophyll a and b and carotenoid contents besides increased human health risk. Potassium, phosphorus, and protein contents were also decreased by 55, 60, and 81%, respectively. The number of seeds per plant, seed weight per plant, and harvest index were reduced by 90, 88, and 61%, respectively [6]. Another study mentioned that high Cd concentrations in L. sativa, Pichia spp. and Azotobacter chroococcum soils hindered roots’ growth and development, reduced yield, and inhibited seeds germination [17].
Rice (Oryza sativa L.) crop is considered the staple food for over half of the global population. According to a recent report, around 510 million metric tons of rice are produced annually in the world [18]. China and India are the leading producers and consumers (around 50% of the world’s production) and their traditional cuisine relies on this nutritious crop. By the end of 2022, around 515 million metric tons of rice are expected to be produced with 25.04% in India alone (https://worldpopulationreview.com/country-rankings/rice-production-by-country (accessed on 20 September 2022)). Rice is a rich source of antioxidants, carbohydrates, minerals, proteins, and vitamins essential for the human diet and health [19]. However, these outstanding properties risk being seriously affected if rice fields are subjected to heavy metal contamination. Rice grains tend to actively bioaccumulate heavy metals originating from contaminated soils; therefore, soil properties are considered the most influencing factor [16]. Rice grown in the vicinity of Turag Riverbank (Bangladesh), in which large disposal of industrial effluents occur, was reported to be highly infested leading to low fertility and yield. High Cd, Pb, and nickel (Ni) concentrations were observed in both water and soil being above the safe limits. In brief, these industrial effluents resulted in dangerous soil degradation (decrease in soil quality by 100%), making these fields inappropriate for subsequent cultivation [20]. Moreover, dermal diseases were detected among nearby locals which poses a serious human health risk.
Star Paper Mill is a paper manufacturing mill located in Saharanpur District, Uttar Pradesh. Its production is estimated at 2500 tons per day [21]. The factory disposes of its effluent through a long canal into the Kali River. These effluents are subsequently and directly used by farmers to irrigate PB-1121 and PR-121 hybrid rice varieties. These varieties are the major and most prestigious species cultivated in India owing to their high productivity and superior quality attributes. Thus, the current study aims to investigate the risk associated with potentially toxic heavy metals accumulation in soil and two rice varieties (PB-1121 and PR-121) irrigated with paper mill effluent.

2. Materials and Methods

2.1. Description of Study Area

The present study was carried out in the suburban vicinity of Saharanpur city, Uttar Pradesh, India. The study site was in north-west of the Saharanpur city with several residential and agricultural establishments (29°56′20.20″ N and 77°34′17.10″ E). Herein, rice (Oryza sativa L.), wheat (Triticum aestivum L.), and sugarcane (Saccharum officinarum L.) are the most grown crops. In this region, Star Paper Mill Ltd. is the biggest industrial unit of the district with estimated paper production of more than 2500 tons per day [21]. This paper mill generates a huge load of effluent, which is released into the nearby river, namely Kali. This mill discharges its water in a 2 m wide and 3 km long drain, which passes through agricultural fields and connects to the Kali River. Several farmers of nearby fields directly utilize the effluent from the drain to irrigate their lands. Moreover, several farmers also exploit the water from the Kali River to irrigate their crops. Figure 1 and Figure 2a,b show the location of Star Paper Mill Ltd. and selected sampling sites. In this study, a total of nine sampling sites were taken, including three borewell irrigated sites as control, three sites irrigated with absolute paper mill effluent, and three sites irrigated with Kali River water (after the disposal of paper mill effluent).

2.2. Description of Studied Rice Varieties

The two selected rice varieties viz., Pusa Basmati (PB) 1121 and PR-121 are commonly grown in North India due to their specific marketable and profitable features. PB-1121 is a popular rice variety developed with help of Basmati 370 and Type 3 varieties. With exceptional elongation, expansion, and aromatic features, this variety best suits the soils of the Saharanpur district thereby making it highly marketable and preferred by farmers. PB-1121 achieves a plant height of 120–130 cm, matures in 130–150 days, and gives an average yield of 5500 kg/ha [22]. Additionally, this variety is highly preferred for creating more resistant and beneficial crop seeds. On the other hand, PR-121 is a semi-dwarf and high-yielding rice variety developed by Punjab Agricultural University, Ludhiana, India. PR-121 achieves an average plant height of 98 cm, has long slender translucent grains, and gives a yield of 7601 kg/ha in 140 days [23]. PR-121 is resistant to nearly 10 pathogenic diseases including bacterial blight. These distinct features make this variety popular in the Saharanpur district. Therefore, the current study was carried out to assess the impact of paper mill effluent for irrigation on soil and selected rice varieties (PB-1121 and PR-121) grown in the semi-urban vicinity of Saharanpur city.

2.3. Sample Collection and Chemical Analysis

For the current study, water, soil, and rice plant samples were collected from July to November 2021. The water samples (borewell, paper mill effluent, and Kali River water) were collected in 5 L capacity plastic cans while soil and rice samples were collected in 2 kg capacity zip-locked polyethylene bags. The soil and water samples were collected in three phases, i.e., vegetative growth stage (0–10 days after transplanting), reproductive stage (60–70 days), and grain filling (100–140 days). However, the straw and grain samples were collected after the final harvesting and drying stage. Purposely, the water and soil samples were analyzed for selected physicochemical and heavy metal parameters following the standard protocols described by APHA [24] and AOAC [25]. In this, pH, electrical conductivity, and total dissolved solids were determined by using a microprocessor-based multi-meter (1611, ESICO, Parwanoo, India). Biochemical and chemical oxygen demands (BOD5 and COD) were estimated by using a digital dissolved oxygen meter (1801, ESICO, Parwanoo, India) and an open-reflux digester, respectively. Nitrogen contents were determined following Kjeldahl’s method [26]. Organic matter of soil was analyzed following Walkley and Black method [27]. Similarly, the contents of potassium (K) were determined by using a flame-photometer (1382, ESICO, Parwanoo, India) while phosphorus was determined by using a UV-Vis spectroscopy (Cary 60, Agilent Technologies, Santa Clara, CA, USA) as previously described by Kumar et al. [28]. Finally, the contents of six heavy metals (Cd, Cr, Cu, Fe, Mn, and Zn) were determined by using atomic absorption spectroscopy (Analyst 800, PerkinElmer, Waltham, Massachusetts, USA) [29]. The detection limit of AAS for selected heavy metals was (Cd: 3 µg/L; Cr: 4 µg/L; Cu: 4 µg/L; Fe: 5 µg/L; Mn: 3 µg/L; and Zn: 3 µg/L). The certified reagent materials and analytical conditions are described earlier in our previous study [28]. Selective hollow cathode lamps were cast-off at optimum current and operated in accordance with the manufacturer’s standard operating procedures (SOPs). The slit width was set to 0.5 nm, and the AAS was run with an air/acetylene gas mixture. Calibration curves were created using standard heavy metal solutions (0 as the control, 0.5, 1, 5, 10, 50, and 100 mg/L). The maximum recovery percentage (>98%) was used to perform quality assurance of the heavy metal analysis results. All analyses were carried out in triplicate.

2.4. Data Analysis

Heavy metals are known to accumulate in plant tissue, but the amount accumulated by each plant varies. The bioaccumulation factor (BF) is a measure of how much a plant can absorb in comparison to the surrounding soil. This indicator is very important because it can help researchers understand how plants react to contamination and subsequent amelioration of the contaminated sites [6]. In this study, BF was used to assess the heavy metal accumulation potential efficiency of two rice varieties irrigated with different water sources. The form of the index is given in Equation (1):
Bioaccumulation factor (BF) = HMR/HMS
where, HMR and HMS represent the heavy metal concentration in rice (grain) and soil, respectively. Also, the health risk of heavy metal accumulation in two rice varieties was investigated using the target hazard quotient (THQ) tool [30]. The form of the index is given in Equation (2):
THQ   = 10 3 × E f ×   E d × I r × H M c B w × C p   × R d
where, Ef is exposure frequency, Ed is exposure duration (365 days), Ir is the rice ingestion rate, HMc is the heavy metal concentration in rice sample (mg/kg), Bw is the average body weight (70 Kg for adult and 16 Kg for child group), Cp is the consumption period (25,550 days for adult and 5840 days for child groups), Rd is the reference doses (Cd: 5.0 × 10−4; Cr: 3.0 × 10−3; Cu: 4.2 × 10−2; Fe: 7.0 × 10−1; Mn: 1.4 × 10−2, and Zn: 3.0 × 10−1), and 10−3 is the conversion factor, respectively. The combined toxicity of heavy metal intake from rice varieties was calculated by using the following Equation (3):
HRI   = THQ Cd   +   Cr   +   Cu   +   Fe   +   Mn   +   Zn
Moreover, the data obtained in this study were tested using a one-way analysis of variance (ANOVA) to derive the significant difference between water source, irrigated soils, and rice plant growth/yield parameters. The level of statistical significance was adjusted as the probability (p) < 0.05.

2.5. Software and Tools

In this study, Microsoft Excel 2019 (Microsoft, Redmond, WA, USA) and OriginPro 2022b (OriginLab, Northampton, MA, USA) software packages were used for the data analysis and visualization.

3. Results and Discussion

3.1. Characteristics of Effluent and Agricultural Soils

The chemical analysis results of the studied irrigation water sources are shown in Table 1. Results revealed that all water sources had a pH value within the safe limits for surface disposal and inland irrigation set by the Central Pollution Control Board of India (CPCB) and Bureau of Indian Standards (BIS), respectively, with the following decreasing order: paper mill effluent > borewell > Kali River water. Paper mill effluent and Kali River water both had significantly higher EC values compared to borewell water. All water sources’ TDS were below the safe limit for surface disposal, and their values in paper mill effluent > Kali River water surpassed the borewell’s TDS value. A TDS level lower than 700 mg/L is considered adequate for crop irrigation; whereas, a range of 700–2000 mg/L may be slight to moderately restricted for use [31]. A similar trend was observed regarding BOD where paper mill effluent and Kali River water had 200.0-fold and 69.2-fold higher contents, respectively, compared to borewell. The former surpassed the safe limit for both surface disposal and inland irrigation. However, COD levels were in the following decreasing order: paper mill effluent > Kali River water > borewell with the first two sources having higher values than the latter. High BOD and COD levels in irrigation water led to lower oxygen availability for crops as a result of decreased soil permeability and therefore a direct effect on plant growth [32]. Similarly, paper mill effluent and Kali River water had significantly higher TKN values compared to borewells. The higher TKN level in Kali River water compared to paper mill effluent simulates possible discharge of sewage or leached manure already applied to nearby crop fields. Total K and total P contents were higher in paper mill effluent and Kali River water compared to the borewell. It was reported that high K levels can decrease water infiltration in irrigated soils [33], whereas the high P levels in water sources (probably originating from extensive use of fertilizers) can accelerate eutrophication and lead to ravaging algal blooms [34]; thus, causing devastating impacts on rice fields.
In the case of heavy metals, Cd and Cr levels were very low in the borewell; therefore, they were undetectable. Kali River water had both Cd and Cr levels higher than the safe limit for surface disposal and inland irrigation. High Cd levels in irrigation water can lead to the disruption of plant mechanisms, nutrient uptake, and translocation in water and plants besides soil contamination [35], whilst high Cr levels in irrigation water can lead to oxidative stress, thus inhibiting some crop growth parameters [36] and subsequent bioaccumulation affecting human health [37]. Similarly, Cu, Fe, Mn, and Zn levels were higher in paper mill effluent and Kali River water than in borewell water. Specifically, Cu and Zn levels in paper mill effluent were below the safe limits for both surface disposal and inland irrigation, whereas Fe and Mn levels within the same irrigation water source surpassed these limits. Although the Zn level in Kali River water was below the safe limit for surface disposal, it was higher than that for inland irrigation. High Cu levels in irrigation water were associated with severe phytotoxicity symptoms [38]. Moreover, the Fe-enrichment of irrigation water was previously reported to adversely affect rice productivity [39], whereas high Mn levels in irrigation water were associated with potential toxicity stress imposed on cultivated crops [40]. Furthermore, reduced crop growth was earlier reported due to high zinc levels in water irrigation; this impact is accentuated if salt stress occurs [41].
Results presented in Table 2 depicted that although there were significant differences between irrigated soils in terms of pH, all of them were neutral. The rice crop is to some extent tolerant to acidity. It was reported that a pH of 6 is suitable for this crop’s cultivation and pH values ranging between 5 and 8 are acceptable [42]. In this study, paper mill effluent- and Kali River water-irrigated soils had a higher EC compared to borewell-irrigated soils. Moreover, soils irrigated with paper mill effluent and Kali River water had a higher organic matter content compared to borewell-irrigated soils. This may improve soil aeration and reduce soil compaction around roots [43]. Also, TKN increased in soils irrigated with paper mill effluent and Kali River water. Such increases simulate increased ammonia in soils which were reported to halt the growth of crops, i.e., alfalfa [44]. Similarly, paper mill effluent and Kali River water-irrigated soils were richer in K than those irrigated using borewells. Although K is an essential component for crop yield improvement and soil enrichment, extremely high amounts can inhibit Mg uptake by crops [45]. For the heavy metals (Cd, Cr, Cu, Fe, Mn, and Zn), their contents increased maximally in paper mill effluent irrigated soils followed by Kali River water. Increased heavy metals in soils were associated with reduced microbial populations, their diversity, and activity; cytotoxic effect on soils, and phytotoxicity in plants leading to reduced plant growth and chlorosis [46].

3.2. Growth and Productivity of Selected Rice Varieties

Rice yield can be significantly influenced by water quality. Low germination rates, reduced plant growth, and increased susceptibility to disease can all be caused by poor water quality. In extreme cases, it can even cause crop death. However, when water contains sufficient levels of bioavailable nutrients, rice yield is impacted positively. In general, however, effluent irrigation can have a positive impact on rice yields, especially in areas where water is scarce. Additionally, using effluent to irrigate crops can help to reduce water pollution and the spread of disease. At the same time, if effluent contains noxious chemicals, it may be dangerous for both soil health and crop plants [47]. Table 3 shows the impact of irrigation water sources on the growth and productivity of selected rice varieties. Results showed that the average height of PB-1121 did not vary significantly (p < 0.05) among all irrigated soils. However, PR-121 outlined a significant increase in plant height in Kali River-irrigated soils compared to borewell-irrigated as control. This increase may assume an overexpression of OsMPH1 which regulates rice crop height and subsequently grain yield [48]. In addition, total chlorophyll and carotenoid contents increased significantly in PB-1121 and PR-121 varieties when irrigated with paper mill effluent and Kali River water as compared to borewell water. This result simulates an interaction between NRL3 and NAL9/VYL regulating the leaf morphology of rice and inducing the accumulation of chlorophyll [49]. Such an increase was previously reported to be the consequence of OsDXS2 and OsGLK1 overexpression [50]. In another study, increased total chlorophyll and carotenoid contents per leaf area were outlined as responses to increased salinity in wheat [51]. Our findings also confirm this simulation as high salinity levels were found in irrigation water sources used and in soils of grown fields. In the case of harvested rice grain properties, the starch and amylose content increased significantly (p < 0.05) in PB-1121 and PR-121 varieties when irrigated with paper mill effluent and Kali River water. Increased starch content in rice was associated with better consumer health pronounced by improved digestibility [52]. Increased rice quality was mainly attributed to an increased amylose percentage within rice grains. Moreover, the yield of both rice varieties increased when irrigated with paper mill effluent and the Kali River. As aforementioned, increased grain yields can be attributed to the overexpression of OsMPH1 [48]. Besides that, the increased leaf area surface may have promoted the photosynthesis mechanism and subsequently total chlorophyll and grain yield. Similarly, the straw yield of both varieties also improved significantly.

3.3. Heavy Metal Accumulation in Selected Rice Varieties

The results of heavy metal concentrations in straw and grain of grown rice varieties in different irrigated soils are reported in Table 4. Specifically, Cd, Cr, Cu, Fe, Mn, and Zn accumulated in the straw of PB-1121 and PR-121 rice varieties were in the following ranges: 0.19–0.27 mg/kg and 0.20–0.31 mg/kg; 0.82–1.40 mg/kg and 0.92–1.51 mg/kg; 13.52–21.67 mg/kg and 14.10–23.04 mg/kg; 178.76–290.53 mg/kg and 212.65–310.98 mg/kg; 78.54–112.67 mg/kg and 62.40–105.43 mg/kg; 19.26–28.66 and 21.58–30.32 mg/kg. In this study, both varieties’ grains enclosed acceptable ranges of Cd (0.03–010 mg/kg), Cr (0.15–0.41 mg/kg), Cu (1.30–2.10 mg/kg), Fe (14.09–24.29 mg/kg), Mn (1.48–2.81 mg/kg) and Zn (1.87–3.21 mg/kg) being lower than the safe limits (0.1–0.2 mg/kg, 1.0 mg/kg, 20.0 mg/kg, 425.5 mg/kg, 500.0 mg/kg, and 100.0 mg/kg, respectively) set for cereals and legumes [53,54,55]. Moreover, the bioaccumulation factor (BF) of heavy metals in the straw of both rice varieties followed a decreasing order of Fe > Mn > Zn > Cu > Cr > Cd. However, higher bioaccumulation of heavy metals was encountered in paper mill effluent irrigated rice followed by Kali River and borewell. The bioaccumulation factors in rice straw of PB-1121 and PR-121 are depicted in Figure 3. In fact, all bioaccumulation factors in rice grains were acceptable (<1.0) [56], except for Mn in PB-1121 and PR-121 varieties irrigated with borewell. Although high heavy metal accumulation was observed in both soil and water, they did not have serious impacts on the final product. This was also observed in the case of other crops grown on industrial media with high heavy metal accumulation [28]. This may be attributed to a high Mn adsorption and/or high Mn transport across the plasma membrane into root cell walls [57]. Moreover, increased Mn concentrations in food can lead to neurotoxicity expressed by neuroinflammation, oxidative stress, and cognitive dysfunction possibly impairing Parkinson’s disease [58]. Rice straw is generally burned in fields resulting in increased greenhouse gas emissions and further pollutant enrichment of rice soils and crops in subsequent cycles [59].

3.4. Health Risk Assessment of Heavy Metals Accumulation

Heavy metals are abundant in the environment and can be absorbed by crops. Rice is an important food source for Indians, so it is critical to assess the health risk of heavy metals in rice. The study of THQ and HRI gives a broader spectrum of possible health risks of food consumption by humans [30]. An HRI value of 1.0 or less indicates that the heavy metal is unlikely to be harmful to human health. However, HRI values greater than 1.0 indicates that the heavy metal may be hazardous to one’s health. Table 5 summarizes the obtained THQs and HRIs found in both rice varieties grown in different irrigated soils. Surprisingly, child THQs were always higher than adult ones despite the rice variety and irrigated soil. Heavy metal levels in Indian varieties reported in that study were much higher than found in the current one simulating different soil physicochemical characteristics and water quality used in rice growing and production besides the variability in used crop varieties. Child and adult HRIs followed the following decreasing order: PR-121 Kali River > PB-1121 Kali River > PR-121 Paper Mill Effluent > PB-1121 Paper Mill Effluent > PR-121 Borewell > PB-1121 Borewell. It is noteworthy that the PR-121 variety had higher HRIs compared to PB-1121 in all irrigated soils which simulates a possible effect of consumed varieties on human health. All HRIs except child HRI of PR-121 variety in Kali River-irrigated soil were below 1; therefore, they are considered safe. The alarming increase in child HRI may be attributed to Cd content which can lead to heart, kidney, and lung diseases as well as nervous tissue disorders [60]. Thus, special attention should be given to the PR-121 rice variety originating from soils irrigated with Kali River water to children. Previously, Lien et al. [60] found in the Yilan area (Taiwan) an endangering health risk of rice on children pronounced by high HRIs and attributed that to Cd levels being concomitant with our findings. A similar observation was acknowledged by Guo et al. [61] regarding the direct influence of Cd levels on rice HRI in Chinese polluted paddy soils simulating possible carcinogenic impacts. Therefore, the THQ and HRI approaches successfully detected minor and possible risk(s) associated with grown rice varieties in different irrigated soils of Saharanpur District.

4. Conclusions

The findings of this study concluded that effluent release from Star Paper Mill Ltd., Saharanpur, India had significant untreated pollutants that exceeded the permissible limits of both inland irrigation and surface discharge. Effluent disposal showed a significant (p < 0.05) increase in the water quality of Kali River thereby exceeding its pollution level. In addition, the soils irrigated with paper mill effluent and Kali River water showed a comparatively high level of physicochemical and heavy metal parameters suggesting potential contamination. The two rice varieties (PB-1121 and PR-121) irrigated with paper mill effluent and Kali River water showed a significant (p < 0.05) increase in growth, yield, and productivity. However, the PR-121 variety showed relatively higher growth, yield, and heavy metal accumulation in straw and grains as compared to PB-1121. The health risk investigation showed potential health risks of heavy metal exposure through consumption of rice irrigated with paper mill effluent and Kali River water. Further studies on biomonitoring of other toxic heavy metals in paper mill effluent and Kali River is highly recommended while local farmers are advised not to use the noxious paper mill effluent or contaminated Kali River water for their field irrigation.

Author Contributions

Conceptualization, P.K.; data curation, J.S.; formal analysis, J.S.; funding acquisition, A.A.A.-H., E.M.E. and I.Š.; investigation, P.K. and M.G.; methodology, P.K.; project administration, A.A.A.-H.; resources, P.K. and V.K.; software, P.K. and M.G.; supervision, P.K.; validation, A.A.A.-H., E.M.E., B.A., S.A.F., J.S., A.K.A., M.G., V.K. and I.Š.; writing—original draft, P.K. and S.A.F.; writing—review & editing, A.A.A.-H., E.M.E., B.A., A.K.A., M.G., V.K. and I.Š. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R93), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This is joint work from the members of the Sustainable Agro-Environment International Research Group (SAEIRG). The authors express their gratitude to Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022R93), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. All individuals included in this section have consented to the acknowledgment.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. UN WWAP. The United Nations World Water Development Report 3; UN WWAP: Geneva, Switzerland, 2012. [Google Scholar]
  2. Roy, S.; Garg, A.; Garg, S.; Tran, T.A. Advanced Industrial Wastewater Treatment and Reclamation of Water; Springer: Cham, Switzerland, 2022; ISBN 978-3-030-83810-2. [Google Scholar]
  3. Ilyas, M.; Ahmad, W.; Khan, H.; Yousaf, S.; Yasir, M.; Khan, A. Environmental and Health Impacts of Industrial Wastewater Effluents in Pakistan: A Review. Rev. Environ. Health 2019, 34, 171–186. [Google Scholar] [CrossRef] [PubMed]
  4. Adelodun, B.; Kumar, P.; Odey, G.; Ajibade, F.O.; Ibrahim, R.G.; Alamri, S.A.M.; Alrumman, S.A.; Eid, E.M.; Kumar, V.; Adeyemi, K.A.; et al. A Safe Haven of SARS-CoV-2 in the Environment: Prevalence and Potential Transmission Risks in the Effluent, Sludge, and Biosolids. Geosci. Front. 2022, 13, 101373. [Google Scholar] [CrossRef]
  5. Uzma, S.; Azizullah, A.; Bibi, R.; Nabeela, F.; Muhammad, U.; Ali, I.; Rehman, Z.U.; Häder, D.P. Effects of Industrial Wastewater on Growth and Biomass Production in Commonly Grown Vegetables. Environ. Monit. Assess. 2016, 188, 328. [Google Scholar] [CrossRef]
  6. Kanwal, A.; Farhan, M.; Sharif, F.; Hayyat, M.U.; Shahzad, L.; Ghafoor, G.Z. Effect of Industrial Wastewater on Wheat Germination, Growth, Yield, Nutrients and Bioaccumulation of Lead. Sci. Rep. 2020, 10, 11361. [Google Scholar] [CrossRef] [PubMed]
  7. Azimi, A.; Azari, A.; Rezakazemi, M.; Ansarpour, M. Removal of Heavy Metals from Industrial Wastewaters: A Review. ChemBioEng Rev. 2017, 4, 37–59. [Google Scholar] [CrossRef]
  8. Król, A.; Mizerna, K.; Bożym, M. An Assessment of PH-Dependent Release and Mobility of Heavy Metals from Metallurgical Slag. J. Hazard. Mater. 2020, 384, 121502. [Google Scholar] [CrossRef]
  9. Sintorini, M.M.; Widyatmoko, H.; Sinaga, E.; Aliyah, N. Effect of PH on Metal Mobility in the Soil. IOP Conf. Ser. Earth Environ. Sci. 2021, 737, 012071. [Google Scholar] [CrossRef]
  10. Campillo-Cora, C.; Conde-Cid, M.; Arias-Estévez, M.; Fernández-Calviño, D.; Alonso-Vega, F. Specific Adsorption of Heavy Metals in Soils: Individual and Competitive Experiments. Agronomy 2020, 10, 1113. [Google Scholar] [CrossRef]
  11. Lenart, A.; Wolny-Koładka, K. The Effect of Heavy Metal Concentration and Soil Ph on the Abundance of Selected Microbial Groups within Arcelormittal Poland Steelworks in Cracow. Bull. Environ. Contam. Toxicol. 2013, 90, 85–90. [Google Scholar] [CrossRef] [Green Version]
  12. Bravo, S.; Amorós, J.A.; Pérez-de-los-Reyes, C.; García, F.J.; Moreno, M.M.; Sánchez-Ormeño, M.; Higueras, P. Influence of the Soil PH in the Uptake and Bioaccumulation of Heavy Metals (Fe, Zn, Cu, Pb and Mn) and Other Elements (Ca, K, Al, Sr and Ba) in Vine Leaves, Castilla-La Mancha (Spain). J. Geochem. Explor. 2017, 174, 79–83. [Google Scholar] [CrossRef]
  13. Hu, X.; Wang, J.; Lv, Y.; Liu, X.; Zhong, J.; Cui, X.; Zhang, M.; Ma, D.; Yan, X.; Zhu, X. Effects of Heavy Metals/Metalloids and Soil Properties on Microbial Communities in Farmland in the Vicinity of a Metals Smelter. Front. Microbiol. 2021, 12, 2347. [Google Scholar] [CrossRef] [PubMed]
  14. Rathnayake, I.V.N.; Megharaj, M.; Bolan, N.; Naidu, R. Tolerance of Heavy Metals by Gram Positive Soil Bacteria. Int. J. Environ. Eng. 2010, 2, 191–195. [Google Scholar]
  15. Chmielowska-Bąk, J.; Gzyl, J.; Rucińska-Sobkowiak, R.; Arasimowicz-Jelonek, M.; Deckert, J. The New Insights into Cadmium Sensing. Front. Plant Sci. 2014, 5, 245. [Google Scholar] [CrossRef] [PubMed]
  16. Xu, D.; Shen, Z.; Dou, C.; Dou, Z.; Li, Y.; Gao, Y.; Sun, Q. Effects of Soil Properties on Heavy Metal Bioavailability and Accumulation in Crop Grains under Different Farmland Use Patterns. Sci. Rep. 2022, 12, 9211. [Google Scholar] [CrossRef]
  17. Vardhan, K.H.; Kumar, P.S.; Panda, R.C. A Review on Heavy Metal Pollution, Toxicity and Remedial Measures: Current Trends and Future Perspectives. J. Mol. Liq. 2019, 290, 111197. [Google Scholar] [CrossRef]
  18. Shahbandeh, M. Rice—Statistics & Facts. Available online: https://worldpopulationreview.com/country-rankings/rice-production-by-country (accessed on 31 August 2022).
  19. Vici, G.; Perinelli, D.R.; Camilletti, D.; Carotenuto, F.; Belli, L.; Polzonetti, V. Nutritional Properties of Rice Varieties Commonly Consumed in Italy and Applicability in Gluten Free Diet. Foods 2021, 10, 1375. [Google Scholar] [CrossRef]
  20. Afrad, M.S.I.; Monir, M.B.; Haque, M.E.; Barau, A.A.; Haque, M.M. Impact of Industrial Effluent on Water, Soil and Rice Production in Bangladesh: A Case of Turag River Bank. J. Environ. Health Sci. Eng. 2020, 18, 825–834. [Google Scholar] [CrossRef]
  21. Singh, J.; Kumar, V.; Kumar, P.; Kumar, P.; Yadav, K.K.; Cabral-Pinto, M.M.S.; Kamyab, H.; Chelliapan, S. An Experimental Investigation on Phytoremediation Performance of Water Lettuce (Pistia stratiotes L.) for Pollutants Removal from Paper Mill Effluent. Water Env. Res. 2021, 93, 1543–1553. [Google Scholar] [CrossRef]
  22. Singh, V.; Singh, A.K.; Mohapatra, T.; Ellur, R.K. Pusa Basmati 1121–A Rice Variety with Exceptional Kernel Elongation and Volume Expansion after Cooking. Rice 2018, 11, 19. [Google Scholar] [CrossRef] [Green Version]
  23. Bharaj, T.S.; Mangat, G.S.; Kaur, R.; Singh, K.; Singh, N. PR 121: A New Semi-Dwarf High Yielding Variety of Rice (Oryza sativa L.). J. Res. (Punjab Agric. Univ.) 2014, 51, 202–203. [Google Scholar]
  24. Apha, A. Standard Methods for the Examination of Water and Wastewater, 22nd ed.; American Public Health Association: Washington, DC, USA, 2012. [Google Scholar]
  25. AOAC International. AOAC Official Methods of Analysis, 21st ed.; AOAC International: Rockville, MD, USA, 2019. [Google Scholar]
  26. Chromý, V.; Vinklárková, B.; Šprongl, L.; Bittová, M. The Kjeldahl Method as a Primary Reference Procedure for Total Protein in Certified Reference Materials Used in Clinical Chemistry. I. A Review of Kjeldahl Methods Adopted by Laboratory Medicine. Crit. Rev. Anal. Chem. 2015, 45, 106–111. [Google Scholar] [CrossRef] [PubMed]
  27. Walkley, A.; Black, I.A. An Examination of the Degtjareff Method for Determining Soil Organic Matter, and a Proposed Modification of the Chromic Acid Titration Method. Soil Sci. 1934, 37, 29–38. [Google Scholar] [CrossRef]
  28. Kumar, V.; Thakur, R.K.; Kumar, P. Assessment of Heavy Metals Uptake by Cauliflower (Brassica oleracea Var. Botrytis) Grown in Integrated Industrial Effluent Irrigated Soils: A Prediction Modeling Study. Sci. Hortic. 2019, 257, 108682. [Google Scholar] [CrossRef]
  29. Kumar, P.; Eid, E.M.; Al-Huqail, A.A.; Širić, I.; Adelodun, B.; Abou Fayssal, S.; Valadez-Blanco, R.; Goala, M.; Ajibade, F.O.; Choi, K.S.; et al. Kinetic Studies on Delignification and Heavy Metals Uptake by Shiitake (Lentinula edodes) Mushroom Cultivated on Agro-Industrial Wastes. Horticulturae 2022, 8, 316. [Google Scholar] [CrossRef]
  30. Kumar, P.; Kumar, V.; Eid, E.M.; Al-Huqail, A.A.; Adelodun, B.; Abou Fayssal, S.; Goala, M.; Arya, A.K.; Bachheti, A.; Andabaka, Ž.; et al. Spatial Assessment of Potentially Toxic Elements (PTE) Concentration in Agaricus Bisporus Mushroom Collected from Local Vegetable Markets of Uttarakhand State, India. J. Fungi 2022, 8, 452. [Google Scholar] [CrossRef] [PubMed]
  31. Ayers, R.S.; Westcot, D.W. Water Quality for Agriculture—FAO Irrigation and Drainage; FAO: Roma, Italy, 1985; Volume NO. 29. [Google Scholar]
  32. Balkhair, K.S.; Ashraf, M.A. Field Accumulation Risks of Heavy Metals in Soil and Vegetable Crop Irrigated with Sewage Water in Western Region of Saudi Arabia. Saudi J. Biol. Sci. 2016, 23, S32–S44. [Google Scholar] [CrossRef] [Green Version]
  33. Rengasamy, P.; Marchuk, A. Cation Ratio of Soil Structural Stability (CROSS). Soil Res. 2011, 49, 280–285. [Google Scholar] [CrossRef]
  34. Riemersma, S.; Little, J.; Ontkean, G.; Moskal-Hebert, T. Phosphorus Sources and Sinks in Watersheds: A Review. Alta. Soil Phosphorus Limits Proj. 2006, 5, 82. [Google Scholar]
  35. Haider, F.U.; Liqun, C.; Coulter, J.A.; Cheema, S.A.; Wu, J.; Zhang, R.; Wenjun, M.; Farooq, M. Cadmium Toxicity in Plants: Impacts and Remediation Strategies. Ecotoxicol. Environ. Saf. 2021, 211, 111887. [Google Scholar] [CrossRef]
  36. Singh, D.; Sharma, N.L.; Singh, C.K.; Kumar Sarkar, S.; Singh, I.; Lal Dotaniya, M. Effect of Chromium (VI) Toxicity on Morpho-Physiological Characteristics, Yield, and Yield Components of Two Chickpea (Cicer arietinum L.) Varieties. PLoS ONE 2020, 15, e0243032. [Google Scholar] [CrossRef]
  37. Malakar, A.; Snow, D.D.; Ray, C. Irrigation Water Quality—A Contemporary Perspective. Water 2019, 11, 1482. [Google Scholar] [CrossRef] [Green Version]
  38. Shiyab, S. Phytoaccumulation of Copper from Irrigation Water and Its Effect on the Internal Structure of Lettuce. Agriculture 2018, 8, 29. [Google Scholar] [CrossRef] [Green Version]
  39. Murphy, T.; Phan, K.; Yumvihoze, E.; Irvine, K.; Wilson, K.; Lean, D.; Poulain, A.; Laird, B.; Chan, L.H.M. Effects of Arsenic, Iron and Fertilizers in Soil on Rice in Cambodia. J. Health Pollut. 2018, 8, 180910. [Google Scholar] [CrossRef] [PubMed]
  40. Chen, W.; Wang, Z.; Jin, M.; Ferré, T.P.A.; Wang, J.; Huang, J.; Wang, X. Effect of Sodium Chloride and Manganese in Irrigation Water on Cotton Growth. Agron. J. 2018, 110, 900–909. [Google Scholar] [CrossRef]
  41. Redondo-Gómez, S.; Andrades-Moreno, L.; Mateos-Naranjo, E.; Parra, R.; Valera-Burgos, J.; Aroca, R. Synergic Effect of Salinity and Zinc Stress on Growth and Photosynthetic Responses of the Cordgrass, Spartina Densiflora. J. Exp. Bot. 2011, 62, 5521–5530. [Google Scholar] [CrossRef]
  42. Azman, E.A.; Jusop, S.; Ishak, C.F.; Ismail, R. Increasing Rice Production Using Different Lime Sources on an Acid Sulphate Soil in Merbok, Malaysia. Pertanika J. Trop. Agric. Sci. 2014, 37, 223–247. [Google Scholar]
  43. King, A.E.; Ali, G.A.; Gillespie, A.W.; Wagner-Riddle, C. Soil Organic Matter as Catalyst of Crop Resource Capture. Front. Environ. Sci. 2020, 8, 50. [Google Scholar] [CrossRef]
  44. Duan, R.; Fedler, C.B. Preliminary Field Study of Soil TKN in a Wastewater Land Application System. Ecol. Eng. 2015, 83, 1–4. [Google Scholar] [CrossRef]
  45. Xu, X.; Du, X.; Wang, F.; Sha, J.; Chen, Q.; Tian, G.; Zhu, Z.; Ge, S.; Jiang, Y. Effects of Potassium Levels on Plant Growth, Accumulation and Distribution of Carbon, and Nitrate Metabolism in Apple Dwarf Rootstock Seedlings. Front. Plant Sci. 2020, 11, 904. [Google Scholar] [CrossRef]
  46. Okereafor, U.; Makhatha, M.; Mekuto, L.; Uche-Okereafor, N.; Sebola, T.; Mavumengwana, V. Toxic Metal Implications on Agricultural Soils, Plants, Animals, Aquatic Life and Human Health. Int. J. Environ. Res. Public Health 2020, 17, 2204. [Google Scholar] [CrossRef] [Green Version]
  47. Jung, K.; Jang, T.; Jeong, H.; Park, S. Assessment of Growth and Yield Components of Rice Irrigated with Reclaimed Wastewater. Agric. Water Manag. 2014, 138, 17–25. [Google Scholar] [CrossRef]
  48. Zhang, Y.; Yu, C.; Lin, J.; Liu, J.; Liu, B.; Wang, J.; Huang, A.; Li, H.; Zhao, T. OsMPH1 Regulates Plant Height and Improves Grain Yield in Rice. PLoS ONE 2017, 12, e0180825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Chen, W.; Sheng, Z.; Cai, Y.; Li, Q.; Wei, X.; Xie, L.; Jiao, G.; Shao, G.; Tang, S.; Wang, J.; et al. Rice Morphogenesis and Chlorophyll Accumulation Is Regulated by the Protein Encoded by Nrl3 and Its Interaction with Nal9. Front. Plant Sci. 2019, 10, 175. [Google Scholar] [CrossRef] [PubMed]
  50. Li, Z.; Gao, J.; Wang, B.; Xu, J.; Fu, X.; Han, H.; Wang, L.; Zhang, W.; Deng, Y.; Wang, Y.; et al. Rice Carotenoid Biofortification and Yield Improvement Conferred by Endosperm-Specific Overexpression of OsGLK1. Front. Plant Sci. 2022, 13, 951605. [Google Scholar] [CrossRef] [PubMed]
  51. Shah, S.H.; Houborg, R.; McCabe, M.F. Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.). Agronomy 2017, 7, 61. [Google Scholar] [CrossRef] [Green Version]
  52. Ordonio, R.L.; Matsuoka, M. Increasing Resistant Starch Content in Rice for Better Consumer Health. Proc. Natl. Acad. Sci. USA 2016, 113, 12616–12618. [Google Scholar] [CrossRef] [Green Version]
  53. FAO/WHO. Report of the Thirty Eight Session of the Codex Committee on Food Hygiene; FAO: Rome, Italy, 2007. [Google Scholar]
  54. FAO/WHO. Report of the Twenty Eighth Session; ALINORM 05/28/12; FAO: Rome, Italy, 2005. [Google Scholar]
  55. USDA. National Food Safety Standard of Maximum Levels of Contaminants in Foods; USDA: Washington, DC, USA, 2018.
  56. Khan, Z.I.; Mansha, A.; Saleem, M.H.; Tariq, F.; Ahmad, K.; Ahmad, T.; Awan, M.U.F.; Abualreesh, M.H.; Alatawi, A.; Ali, S. Trace Metal Accumulation in Rice Variety Kainat Irrigated with Canal Water. Sustainability 2021, 13, 13739. [Google Scholar] [CrossRef]
  57. Hu, A.Y.; Zheng, M.M.; Sun, L.M.; Zhao, X.Q.; Shen, R.F. Ammonium Alleviates Manganese Toxicity and Accumulation in Rice by Down-Regulating the Transporter Gene OsNramp5 through Rhizosphere Acidification. Front. Plant Sci. 2019, 10, 1194. [Google Scholar] [CrossRef] [Green Version]
  58. Peres, T.V.; Schettinger, M.R.C.; Chen, P.; Carvalho, F.; Avila, D.S.; Bowman, A.B.; Aschner, M. Manganese-Induced Neurotoxicity: A Review of Its Behavioral Consequences and Neuroprotective Strategies. BMC Pharmacol. Toxicol. 2016, 17, 57. [Google Scholar] [CrossRef] [Green Version]
  59. Ahmad, R.; Hadi, F.; Jan, A.U.; Ditta, A. Straw Incorporation in Contaminated Soil Enhances Drought Tolerance but Simultaneously Increases the Accumulation of Heavy Metals in Rice. Sustainability 2022, 14, 10578. [Google Scholar] [CrossRef]
  60. Lien, K.W.; Pan, M.H.; Ling, M.P. Levels of Heavy Metal Cadmium in Rice (Oryza sativa L.) Produced in Taiwan and Probabilistic Risk Assessment for the Taiwanese Population. Environ. Sci. Pollut. Res. 2021, 28, 28381–28390. [Google Scholar] [CrossRef] [PubMed]
  61. Guo, B.; Hong, C.; Tong, W.; Xu, M.; Huang, C.; Yin, H.; Lin, Y.; Fu, Q. Health Risk Assessment of Heavy Metal Pollution in a Soil-Rice System: A Case Study in the Jin-Qu Basin of China. Sci. Rep. 2020, 10, 11490. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Map view of the Star Paper Mill situated in Saharanpur district of Uttar Pradesh, India, and its adjoining agricultural areas (Source: Google Earth Pro).
Figure 1. Map view of the Star Paper Mill situated in Saharanpur district of Uttar Pradesh, India, and its adjoining agricultural areas (Source: Google Earth Pro).
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Figure 2. (a) Disposal channel carrying effluent of Star Paper Mill and (b) disposal point connecting to Kali River with a view of rice fields (Photos: Jogendra Singh).
Figure 2. (a) Disposal channel carrying effluent of Star Paper Mill and (b) disposal point connecting to Kali River with a view of rice fields (Photos: Jogendra Singh).
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Figure 3. Bioaccumulation factor (BF) of heavy metals in (a) straw and (b) grain of PB-1121 and PR-121 rice varieties irrigated with different water sources in Saharanpur district of Uttar Pradesh, India (BWW: borewell, PME: paper mill effluent, and KRW: Kali River water; the same color dots correspond to values of same heavy metal).
Figure 3. Bioaccumulation factor (BF) of heavy metals in (a) straw and (b) grain of PB-1121 and PR-121 rice varieties irrigated with different water sources in Saharanpur district of Uttar Pradesh, India (BWW: borewell, PME: paper mill effluent, and KRW: Kali River water; the same color dots correspond to values of same heavy metal).
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Table 1. Average characteristics of irrigation water sources (borewell, paper mill effluent, and Kali River water) of the study area.
Table 1. Average characteristics of irrigation water sources (borewell, paper mill effluent, and Kali River water) of the study area.
ParametersIrrigation Water SourcesLimit for
Surface
Disposal a
Limit for
Inland
Irrigation b
BorewellPaper Mill
Effluent
Kali River Water
pH7.56 ± 0.11 b8.14 ± 0.24 c6.09 ± 0.37 a5.50–9.005.50–9.00
Electricidal Conductivity (EC: dS/m)0.61 ± 0.35 a5.30 ± 0.09 c4.07 ± 0.18 bNaNa
Total Dissolved Solids (TDS: mg/L)110.36 ± 9.12 a1409.62 ± 15.02 c850.04 ± 29.05 b1900.00Na
Biochemical Oxygen Demand (BOD: mg/L)4.05 ± 0.35 a810.09 ± 20.38 c280.26 ± 11.47 b100.0030.00
Chemical Oxygen Demand (COD: mg/L)8.20 ± 0.26 a1610.50 ± 18.01 c709.45 ± 17.60 b250.00250.00
Total Kjeldahl’s Nitrogen (TKN: mg/L)8.12 ± 0.54 a110.43 ± 3.70 c140.06 ± 10.31 b100.00100.00
Total Potassium (K: mg/L)6.41 ± 2.29 a106.93 ± 4.58 c82.24 ± 7.40 bNaNa
Total Phosphorus (p: mg/L)4.46 ± 0.18 a98.20 ± 5.07 c31.03 ± 3.17 bNa5.00
Cadmium (Cd: mg/L)Bdl0.69 ± 0.08 a3.70 ± 0.46 b2.002.00
Chromium (Cr: mg/L)Bdl5.43 ± 0.12 b2.50 ± 0.23 a2.00Na
Copper (Cu: mg/L0.03 ± 0.01 a1.90 ± 0.06 b4.85 ± 0.39 c3.003.00
Iron (Fe: mg/L)0.62 ± 0.03 a5.62 ± 0.17 b11.07 ± 0.74 c1.003.00
Manganese (Mn: mg/L)0.38 ± 0.04 a3.88 ± 0.21 b6.28 ± 0.29 c1.002.00
Zinc (Zn: mg/L)0.26 ± 0.02 a2.54 ± 0.19 b9.64 ± 0.41 c15.005.00
Different letters (a–c) indicate a significant difference (p < 0.05) between irrigation water sources; Bdl: below detectable limits; Na: not available; a: Central Pollution Control Board of India (CPCB); b: Bureau of Indian Standards (BIS).
Table 2. Average characteristics of soils irrigated with borewell, paper mill effluent, and Kali River water in the study area.
Table 2. Average characteristics of soils irrigated with borewell, paper mill effluent, and Kali River water in the study area.
Parameters ^Irrigated Soils
BorewellPaper Mill EffluentKali River Water
pH7.24 ± 0.05 b7.69 ± 0.07 c6.80 ± 0.20 a
Electricidal Conductivity (EC: dS/m)2.27 ± 0.16 a4.80 ± 0.22 c3.10 ± 0.19 b
Organic Matter (OM: %)2.86 ± 0.12 a5.10 ± 0.42 bc4.74 ± 0.34 b
Total Kjeldahl’s Nitrogen (TKN: mg/kg)124.16 ± 3.09 a261.20 ± 10.08 c210.42 ± 7.25 b
Potassium (K: mg/kg)56.72 ± 8.26 a220.89 ± 6.07 c190.65 ± 10.81 b
Total Phosphorus (TP: mg/kg)34.61 ± 5.32 a128.48 ± 3.31 c110.29 ± 8.03 b
Cadmium (Cd: mg/kg)0.21 ± 0.05 a5.10 ± 0.12 b6.16 ± 1.15 bc
Chromium (Cr: mg/kg)1.07 ± 0.09 a9.89 ± 0.21 c4.32 ± 0.38 b
Copper (Cu: mg/kg)2.90 ± 0.14 a16.43 ± 0.10 b29.60 ± 2.42 c
Iron (Fe: mg/kg)16.07 ± 0.26 a47.21 ± 1.03 b59.07 ± 3.95 c
Manganese (Mn: mg/kg)1.50 ± 0.09 a8.43 ± 1.04 b11.51 ± 0.46 c
Zinc (Zn: mg/kg)2.43 ± 0.12 a12.08 ± 0.67 b18.02 ± 1.28 c
^: The unit of all parameters is mg/kg except for pH, EC, and OM; Different letters (a–c) indicate a significant difference (p < 0.05) between irrigated soil parameter values.
Table 3. Impact of different irrigation water sources on growth and productivity performance of two rice varieties.
Table 3. Impact of different irrigation water sources on growth and productivity performance of two rice varieties.
ParametersIrrigated Soils and Rice Varieties
BorewellPaper Mill EffluentKali River
PB-1121PR-121PB-1121 PR-121PB-1121 PR-121
Plant Height (cm)113.47 ± 5.02 c93.82 ± 3.68 a118.38 ± 7.15 c97.64 ± 2.40 ab123.48 ± 4.86 cd98.83 ± 2.02 b
Total Chlorophyll (mg/g)5.09 ± 0.13 a5.12 ± 0.10 a5.86 ± 0.22 bc5.45 ± 0.17 b6.70 ± 0.25 d6.64 ± 0.17 d
Leaf Carotenoids (mg/g)0.51 ± 0.05 a0.53 ± 0.09 a0.60 ± 0.07 ab0.57 ± 0.04 a0.67 ± 0.08 b0.63 ± 0.05 b
Starch Content (%)60.70 ± 3.70 a62.76 ± 2.10 a67.39 ± 1.82 b69.98 ± 2.28 b71.08 ± 2.05 bc72.60 ± 1.63 c
Amylose Content (%)21.01 ± 1.20 a19.49 ± 0.97 a23.35 ± 1.70 ab20.09 ± 0.69 b25.10 ± 1.32 bc20.28 ± 1.24 bc
Crop Yield (kg/ha)3710.50 ± 150.40 a5244.02 ± 69.10 d4050.92 ± 81.53 b5566.12 ± 131.09 e4270.20 ± 75.12 c5830.58 ± 63.10 f
Straw Yield (kg/ha)5110.17 ± 86.53 a6035.20 ± 80.18 c5318.17 ± 30.85 b6481.30 ± 45.73 d5472.05 ± 93.90 b6683.76 ± 61.26 e
Different letters (a–f) indicate a significant difference (p < 0.05) between irrigated rice parameter values.
Table 4. Impact of different irrigation water sources on heavy metal accumulation (mg/kg) in grains of two rice varieties.
Table 4. Impact of different irrigation water sources on heavy metal accumulation (mg/kg) in grains of two rice varieties.
Rice PartsHeavy MetalsIrrigated Soils and Rice Varieties
BorewellPaper Mill EffluentKali River
PB-1121PR-121PB-1121PR-121PB-1121PR-121
StrawCd0.19 ± 0.02 a0.20 ± 0.03 a0.23 ± 0.02 a0.25 ± 0.03 ab0.27 ± 0.04 b0.31 ± 0.02 b
Cr0.82 ± 0.05 a0.92 ± 0.08 ab1.40 ± 0.13 c1.51 ± 0.09 c1.10 ± 0.15 b1.22 ± 0.07 b
Cu13.52 ± 0.28 a14.10 ± 0.51 a18.16 ± 1.02 b20.45 ± 0.92 b21.67 ± 1.36 bc23.04 ± 0.65 c
Fe178.76 ± 6.91 a212.65 ± 10.75 b254.02 ± 12.08 c272.18 ± 20.78 c290.53 ± 12.45 d310.98 ± 21.04 d
Mn78.54 ± 3.35 b62.40 ± 6.02 a110.78 ± 11.21 cd90.65 ± 9.42 c112.67 ± 8.22 d105.43 ± 7.60 cd
Zn19.26 ± 0.70 a21.58 ± 0.56 a25.02 ± 1.40 b27.02 ± 1.01 b28.66 ± 0.95 bc30.32 ± 1.24 c
GrainCd0.03 ± 0.01 a0.04 ± 0.02 a0.06 ± 0.02 ab0.07 ± 0.01 b0.09 ± 0.02 bc0.10 ± 0.02 c
Cr0.15 ± 0.02 a0.16 ± 0.03 a0.39 ± 0.06 b0.41 ± 0.04 b0.31 ± 0.02 b0.36 ± 0.05 c
Cu1.60 ± 0.05 a1.68 ± 0.04 a1.73 ± 0.04 ab1.82 ± 0.12 b2.02 ± 0.09 c2.10 ± 0.11 c
Fe14.09 ± 0.36 a15.04 ± 0.82 a20.11 ± 1.27 b21.18 ± 0.96 b22.30 ± 1.55 bc24.29 ± 0.83 c
Mn1.72 ± 0.20 ab1.48 ± 0.13 a2.34 ± 0.32 c2.05 ± 0.07 c2.81 ± 0.16 d2.57 ± 0.29 c
Zn1.87 ± 0.03 a1.92 ± 0.09 a2.52 ± 0.14 b2.69 ± 0.08 b3.10 ± 0.25 c3.21 ± 0.08 c
Same letters (a–d) indicate no significant difference (p < 0.05) between irrigated rice parameter values.
Table 5. Target hazard quotient (THQ)-based health risk assessment of heavy metals accumulation in two rice varieties irrigated with different water sources.
Table 5. Target hazard quotient (THQ)-based health risk assessment of heavy metals accumulation in two rice varieties irrigated with different water sources.
Heavy MetalsHealth Risk VariablesIrrigated Soils
BorewellPaper Mill EffluentKali River
PB-1121PR-121PB-1121PR-121PB-1121PR-121
Cadmium (Cd)THQ (Child)0.1560.1750.2120.2310.2980.387
THQ (Adult)0.1240.1320.1480.1560.1720.280
Chromium (Cr)THQ (Child)0.1470.1500.2210.2280.1970.292
THQ (Adult)0.1200.1210.1520.1550.1410.148
Copper (Cu)THQ (Child)0.1360.1370.1380.1400.1450.147
THQ (Adult)0.1150.1160.1160.1170.1190.120
Iron (Fe)THQ (Child)0.0190.1200.0270.0280.0190.032
THQ (Adult)0.0180.0190.0110.0120.0130.024
Manganese (Mn)THQ (Child)0.1150.0990.1560.1370.1870.171
THQ (Adult)0.0490.0420.0670.0590.0800.073
Zinc (Zn)THQ (Child)0.1160.0160.0180.0180.0190.012
THQ (Adult)0.0120.0130.0130.0140.0140.014
HRIChild0.6890.6970.7720.7820.8651.041
Adult0.4380.4430.5070.5130.5390.659
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MDPI and ACS Style

AL-Huqail, A.A.; Kumar, P.; Eid, E.M.; Adelodun, B.; Abou Fayssal, S.; Singh, J.; Arya, A.K.; Goala, M.; Kumar, V.; Širić, I. Risk Assessment of Heavy Metals Contamination in Soil and Two Rice (Oryza sativa L.) Varieties Irrigated with Paper Mill Effluent. Agriculture 2022, 12, 1864. https://doi.org/10.3390/agriculture12111864

AMA Style

AL-Huqail AA, Kumar P, Eid EM, Adelodun B, Abou Fayssal S, Singh J, Arya AK, Goala M, Kumar V, Širić I. Risk Assessment of Heavy Metals Contamination in Soil and Two Rice (Oryza sativa L.) Varieties Irrigated with Paper Mill Effluent. Agriculture. 2022; 12(11):1864. https://doi.org/10.3390/agriculture12111864

Chicago/Turabian Style

AL-Huqail, Arwa A., Pankaj Kumar, Ebrahem M. Eid, Bashir Adelodun, Sami Abou Fayssal, Jogendra Singh, Ashish Kumar Arya, Madhumita Goala, Vinod Kumar, and Ivan Širić. 2022. "Risk Assessment of Heavy Metals Contamination in Soil and Two Rice (Oryza sativa L.) Varieties Irrigated with Paper Mill Effluent" Agriculture 12, no. 11: 1864. https://doi.org/10.3390/agriculture12111864

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