1. Introduction
Zinc is one of the essential trace elements for both plants and humans, enabling specific physiological functions such as maintaining protein synthesis [
1], gene expression, enzyme structures, energy production, carbohydrate metabolism, photosynthesis, auxin metabolism, pollen formation, and resistance to certain pathogen infections [
2]. It positively impacts crop yields and enhances food’s nutritional quality [
3]. Moreover, zinc participates in nearly all metabolic activities in the human body, enhancing immunity and promoting growth and development, earning it the nickname “the flower of life” [
1]. Zinc deficiency slows the body’s growth and development and weakens immunity [
4,
5]. Nearly one-third of the world’s population is deficient in zinc [
6]. Micronutrient deficiencies, including zinc, often called “hidden hunger,” are a serious global health problem [
7,
8]. Zinc supplementation has become a crucial issue. Zinc biofortification of staple food crops has been recognized as an alternative, complementary and sustainable way to overcome zinc malnutrition [
9,
10].
Rice is one of the world’s three major staple food crops and is a source of energy, vitamins, minerals and rare amino acids that are essential for people who rely on rice as a staple food in their daily lives [
10,
11]. More than half of the world’s population currently depends on rice as a staple food [
12]. However, the zinc content in ordinary rice grains is presently low, with the average zinc concentration in brown rice cultivars only 25.4 mg/kg [
10]. Furthermore, the rice commonly consumed as polished white rice will lose most of its zinc during the milling process, only with a typical zinc content of 12.9 mg/kg, which is far below the zinc-rich standard of 45 mg/kg specified by the national standard (General Rules for Nutrition Labeling of Prepackaged Foods, GB28050 ) [
13]. It is also unable to meet the body’s zinc requirement of 11 mg (male) or 8 mg (female) per day [
14]. As a treasure in rice germplasm, colored rice is a potential source of various bioactive compounds. It is rich in a large number of anthocyanins and trace mineral elements. The consumption of colored rice can reduce the risk of multiple diseases, and it is recognized as a functional food that promotes human health [
15,
16]. In recent years, colored rice has gained momentum on the international market, with growing demand worldwide [
17].
Related studies manifested that the grain zinc content of five purple-milled rice cultivars and four red-milled rice cultivars in Laos ranged from 15.5 ~ 19.5 mg/kg, and the grain zinc content of seventeen purple-milled rice cultivars in Thailand ranged from 19.0 ~ 41.3 mg/kg [
18,
19], which showed that the color rice had a solid ability to enrich zinc when compared with the ordinary rice [
20]. However, there is still a particular gap between the previous studies and the level of zinc-rich standard. Exploring more rice germplasm or varieties to achieve zinc enrichment is a significant attempt. South China is the main region for rice cultivation [
21]. Guizhou, Yunnan and Guangxi in southern China are among the world’s largest centers of rice genetic diversity and high-quality germplasm [
22,
23,
24]. Landraces, especially for some colored rice varieties, are rich in genetic diversity due to their effectiveness in farmland conservation and promotion of allele variation [
25]. Hence, utilizing more resources of colored rice from South China to improve zinc accumulation become a growing concern for researchers and farmers [
23,
24].
Meanwhile, in recent decades, there has been much research on how to reverse zinc deficiency in rice. The study found that applying zinc fertilizer could improve rice’s zinc content, along with processing quality, nutritional value and cooking taste [
26]. However, most zinc fertilizer trials are conducted against a backdrop of managing zinc deficiency, with few studies related to zinc biofortification [
27]. Biofortification employs three primary strategies: agronomic practices, traditional breeding, and genetic engineering [
28]. Agronomic practice, a fertilizer-driven method [
29], involves applying basal or foliar sprays to crops, enabling direct uptake of essential trace elements [
30]. It is an effective way to improve the insufficient intake of nutrients by making crops contain one or several trace elements quantitatively. Foliar application, especially at the heading period, bypasses soil complexities, enhancing fertilizer efficiency with faster absorption and greater effectiveness while reducing environmental impact, which is widely accepted and applied [
31,
32]. According to previous reports, zinc application rates between 450 - 500 g/ha are most appropriate for rice [
33]. Since too high a zinc concentration will have a certain toxic effect on plants, and too low will have a negative impact on crop yield and quality [
34].
Therefore, this study aims to select some characteristic-colored rice from the southern part of China and combine foliar zinc spraying to study the absorption and accumulation of zinc to achieve (i) analyze the distribution and transportation of zinc in colored rice, (ii) identify colored rice with strong zinc enrichment ability, (iii) explore a viable solution to the problem of “hidden hunger”.
2. Materials and Methods
2.1. Experimental Location and Material
The pot experiments were applied and conducted from May to November 2023 in Pukou District, Nanjing City, Jiangsu Province, China (32°07’29.6”N 118°38’56.8”E). The collected soil was air-dried and then crushed, all through a 20-mesh sieve. Before the experiment, the soil properties were measured. The soil textural class was clay loam contained 22.35% sand, 50.37% silt, 27.28% clay, 200 mg/kg Zn, 6.365 pH, 17.9 cmol/kg CEC, 0.150% total nitrogen, 0.985 g/kg total phosphorus, 21.5 g/kg total potassium, 3.3 mg/kg available phosphorus and 188 mg/kg available potassium.
Seven colored rice with different genetic backgrounds and characteristics were selected for the study, one of which is from East China, under the consideration of unique color and comprehensive characters. For a detailed description, see
Table 1. The rice seeds were surface sterilized in 5% (v/v) H
2O
2 for 30 minutes, then rinsed with deionized water. Seedling cultivation began on May 23, 2023. On June 13, 2023, the seedlings were transplanted into pots.
2.2. Experimental Layout and Treatments
The experiment used a completely randomized block design with three replications. Each pot (27 cm in diameter and 23 cm in height) was pre-filled with 5 kg of soil.
Two treatments were set: without zinc fertilizer (CK) and with foliar zinc fertilizer (Zinc application). There were a total of 14 treatment groups, each replicated three times, resulting in 42 potted rice in total. On clear and windless days, foliar zinc fertilizer was applied to the colored rice using a nano-spray bottle. Suzhou Selenium Valley Technology Co., Ltd supplied the zinc-rich water-soluble fertilizer used in the experiment. According to previous pieces of literature [
32], the usage rate for zinc foliar application was defined as 400 g/ha in this study under consideration less negative impact on plant growth. The pots were meticulously maintained under consistently saturated conditions throughout the rice cultivation period, ensuring uniform moisture levels to support optimal growth and development of the plants. Urea (0.49 g/pot), monoammonium phosphate (MAP) (0.26 g/pot), and potassium chloride (0.31 g/pot) were applied at the recommended levels of nitrogen, phosphorus, and potassium, respectively. Urea was used as 45 % base fertilizer, 25 % tillering fertilizer, and 30% panicle fertilizer. MAP was applied once entirely as a base fertilizer. Potassium chloride was divided evenly, with 50 % used as base fertilizer and 50 % as panicle fertilizer.
2.3. Plant Height and Chlorophyll Index
At harvest, three representative plants were selected from each pot. Plant height was measured by snugly placing a tape measure at each plant’s base and recording the vertical distance from the soil surface to the tip of the highest leaf. The leaf’s chlorophyll content was measured accurately, rapidly, and non-destructively using a SPAD-502 chlorophyll meter (Konica Minolta, Japan).
2.4. Biomass
At harvest, whole plants were collected and separated into four parts: root, stem, leaf, and grain. The samples were washed with distilled water to remove surface soil and other impurities, the kernels are dehulled and then placed in kraft paper bags. The samples were dried to constant weight at 60 °C using an electric blast drying oven (Memmert UF55, Germany). Each part’s dry weight was measured using an electronic balance (Mettler Toledo XPR205, Switzerland).
2.5. Protein Content in Grain
An appropriate amount of the sample was weighed and placed in a Kjeldahl digestion tube, along with 0.4 g of copper sulfate, 6 g of potassium sulfate, and 20 mL of sulfuric acid. The sample was initially carbonized at 200 °C until foam production ceased and stabilized. The temperature was then increased to 450 °C, and the sample was heated until the liquid boiled. Once the liquid turned a transparent blue-green color, heating was continued for an additional hour. After cooling, the tube was removed, and water and alkali were added. The liquid was then distilled, with the escaping ammonia being absorbed by boric acid. The total nitrogen content in the sample was determined using a calibrated strong acid standard titration solution, based on the volume and concentration of the titrant used. The nitrogen content was subsequently converted to protein content using a conversion factor of 6.25.
2.6. Zinc Content
The separated dry samples were then milled into powder and passed through a 100-mesh sieve. A 0.5 g sample of the dry matter was taken for chemical analysis. The zinc content in the dry matter of various plant organs was determined using an Inductively Coupled Plasma Mass Spectrometer (Agilent Technologies Agilent 7900, America). HNO3:HClO4 (4:1) mixed acid-electric hot plate digestion method was used. The sample preparation involved the following steps: the dried sample was ground into a powder, and 0.2 g was weighed on an analytical balance and placed in a beaker. Then, 10 ml of HNO3:HClO4 (4:1) mixed acid was added, shaken well, and left overnight. The beaker was subsequently heated on an electric heating plate at 120 °C for 1 hour and then at 180 °C for 2 hours. Once the solution in the beaker became clear and free of precipitates, the temperature of the heating plate was increased to 210 °C to initiate acid removal. Heating was continued until white fumes appeared and the solution was reduced to 1-2 ml. The solution was then removed from the heat and cooled to room temperature. Subsequently, the solution was transferred to a 25 ml stoppered volumetric flask, mixed thoroughly, and the zinc content was measured using an Inductively Coupled Plasma Mass Spectrometer.
2.7. Translocation Factor
The rice plant Translocation Factor (
TF) indicates the plant’s ability to transfer zinc from one organ to another. A high
TF signifies the efficient movement of zinc from one part to another, which may influence the potential for zinc bioaccumulation in the edible part of rice (grain).
TFs were calculated via the following equations:
a and b can represent distinct components of rice, such as the root, stem, leaf and grain.
TFroot-stem,
TFstem-leaf and
TFleaf-gain represent the ability of zinc migration from root to stem, stem to leaf and leaf to grain.
2.8. Zinc Utilization Index
Zinc utilization-related parameters are calculated using the following formulas [
32,
33,
34], which provide a standardized method for assessing plant zinc efficiency. These equations are widely used in studies on nutrient utilization and plant growth [
35].
where
GDw and
Dw represent the biomass (kg) of grain and the whole rice plant,
GUZn and
UZn represent the zinc content (mg/kg) in grain and rice plants, respectively.
2.9. Zinc Health Risk Index
According to previous studies, the health risk index (
HRI) was used to assess noncarcinogenic health risks from individual metals and the combined health risks from all the studied metals [
32]. If the HRI ≤ 1, it indicates that zinc-treated rice poses no threat to human health; If the 1<
HRI ≤10, it indicates that zinc-treated rice poses some level of danger to human health; If the 10<
HRI, it indicates that zinc-treated rice has chronic toxicity to human health [
36,
37]. The calculation formula is as follows:
where,
HRI is the health risk index of zinc under zinc fertilizer treatment.
RfD (mg/kg/d) is the reference dose for daily intake and the
RfD value for elemental zinc is 0.30 mg/kg/d [
38].
ADI (mg/kg/d) is the average daily intake for zinc concentrations.
CZn (mg/kg) is the zinc concentration in the grain under zinc treatment.
DRI (kg/d) is the average daily intake of rice.
IF (d/a) is the frequency of intake per year.
ID (a),
EA (a) and
AA (a) are duration of intake, life expectancy for adults and children, and average age, respectively.
BW (kg) and
IT (d) are meant body weight and total time intake. The values of other parameters in the health risk assessment are shown in
Table 2.
2.10. Statistical Data Treatment
The data obtained were subjected to statistical analysis using Analysis of Variance (ANOVA), and the significance of differences between treatment groups was determined using the least significant difference (LSD) value at p<0.05 to establish interactions. For detailed visualization, graphs were generated using Origin 2022b (Origin Lab Corporation, Northampton, MA, USA), a widely recognized data analysis and graphing tool.
Author Contributions
Conceptualization, Y.W. and M.R.F.; methodology, Y.W.; software, Y.W.; validation, Y.W., M.R.F. and Y.G.; formal analysis, Y.W.; investigation, M.R.F., Y.G., H.S., P.R. and Z.P.; resources, Y.W.; data curation, Y.W.; writing—original draft preparation, Y.W.; writing—review and editing, Y.C.; visualization, Y.W.; supervision, Y.C. and X.Y.; project administration, X.Y.; funding acquisition, Y.C. and X.Y. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Effect of zinc application on zinc content in grain (a), leaf (b), stem (c) and root (d) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the zinc content between CK and zinc application.
Figure 1.
Effect of zinc application on zinc content in grain (a), leaf (b), stem (c) and root (d) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the zinc content between CK and zinc application.
Figure 2.
Effects of zinc application on biomass weight of grain (a), leaf (b), stem (c) and root (d) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the biomass between CK and zinc application.
Figure 2.
Effects of zinc application on biomass weight of grain (a), leaf (b), stem (c) and root (d) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the biomass between CK and zinc application.
Figure 3.
Effects of zinc application on zinc accumulation in grain (a), leaf (b), stem (c) and root (d) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the zinc accumulation between CK and zinc application.
Figure 3.
Effects of zinc application on zinc accumulation in grain (a), leaf (b), stem (c) and root (d) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the zinc accumulation between CK and zinc application.
Figure 4.
The translocation factor of root-to-stem, stem-to-leaf and leaf-to-grain of seven colored rice cultivars under CK (a) and zinc application (b). Treatments were tested by LSD (p<0.05).
Figure 4.
The translocation factor of root-to-stem, stem-to-leaf and leaf-to-grain of seven colored rice cultivars under CK (a) and zinc application (b). Treatments were tested by LSD (p<0.05).
Figure 5.
Effects of zinc application on plant height (a), SPAD (b) and protein content (c) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the plant height, SPAD and protein content between CK and zinc application.
Figure 5.
Effects of zinc application on plant height (a), SPAD (b) and protein content (c) of colored rice. Different lowercase letters on the bar graphs indicate significant differences between cultivars (p<0.05). The significance levels of ***p ≤ 0.001,**p ≤ 0.01 and *p ≤ 0.05 indicate that there are substantial changes in the plant height, SPAD and protein content between CK and zinc application.
Table 1.
Information on the place of origin, color, life cycle and breed type of the seven colored rice cultivars.
Table 1.
Information on the place of origin, color, life cycle and breed type of the seven colored rice cultivars.
Name |
Place of Origin |
Color |
Life Cycle (day) |
Breed type |
GFHN 166 |
Guangxi |
Black |
122 |
Indica-type conventional glutinous rice |
GFHN 168 |
Guangxi |
Black |
124 |
Indica-type conventional glutinous rice |
GFHN 169 |
Guangxi |
Black |
126 |
Indica-type conventional glutinous rice |
GH 1 |
Guizhou |
Red |
150 |
Indica-type conventional non-glutinous rice |
GXHZ |
Guangxi |
Red |
122 |
Indica-type conventional non-glutinous rice |
GHSZ |
Guangxi |
Black |
127 |
Indica-type conventional non-glutinous rice |
YXN |
Jiangsu |
Purple |
125 |
Indica-type conventional non-glutinous rice |
Table 2.
Parameters values in health risk assessment.
Table 2.
Parameters values in health risk assessment.
Category |
Gender |
DRI (kg/d) |
TF (d/a) |
EA (a) |
AA (a) |
BW (kg) |
IT (d) |
Adult |
Male |
2.5×10−1
|
365 |
81.2 |
46.2 |
72.0 |
12775 |
Female |
1.9×10−1
|
350 |
85.6 |
48.4 |
58.7 |
13578 |
Child |
Male |
1.2×10−1
|
300 |
6 |
3.6 |
20.7 |
876 |
Female |
8.5×10−2
|
300 |
6 |
3.6 |
19.5 |
876 |
Table 3.
The average values of grain zinc content, grain biomass, grain zinc accumulation, plant height, SPAD and grain protein content of seven colored rice cultivars under CK and zinc application.
Table 3.
The average values of grain zinc content, grain biomass, grain zinc accumulation, plant height, SPAD and grain protein content of seven colored rice cultivars under CK and zinc application.
Treatment |
Grain zinc content (mg/kg) |
Grain biomass (g) |
Grain zinc accumulation (mg) |
Plant height (cm) |
SPAD |
Grain protein content (%) |
CK |
28.87±3.33b |
45.73±2.88b |
1.38±0.18a |
113.48±0.92a |
41.95±0.54b |
8.25±0.27a |
Zinc application |
41.55±1.94a |
51.87±0.82a |
2.28±0.14a |
114.86±1.31a |
42.85±0.13a |
8.49±0.18a |
Table 4.
Harvest index, zinc harvest index and zinc use efficiency of seven colored rice cultivars after zinc application.
Table 4.
Harvest index, zinc harvest index and zinc use efficiency of seven colored rice cultivars after zinc application.
Cultivar |
Harvest Index (HI)% |
Zinc Harvest Index (ZnHI)% |
Zinc Use Efficiency (ZnUE)% |
GFHN 166 |
26.48 |
3.77 |
14.24 |
GFHN 168 |
26.82 |
4.38 |
16.33 |
GFHN 169 |
25.47 |
4.84 |
19.02 |
GH1 |
26.84 |
5.62 |
20.93 |
GXHZ |
24.06 |
6.44 |
26.79 |
GHSZ |
26.44 |
4.63 |
17.50 |
YXN |
32.39 |
2.99 |
9.23 |
Table 5.
Health risk assessment on rice grains of different rice cultivars under zinc treatment.
Table 5.
Health risk assessment on rice grains of different rice cultivars under zinc treatment.
cultivars |
Adult |
Young child |
Male |
Female |
Male |
Female |
GFHN 166 |
0.47±0.06c |
0.42±0.05c |
0.64±0.08c |
0.48±0.06c |
GFHN 168 |
0.49±0.07bc |
0.44±0.06bc |
0.67±0.09bc |
0.51±0.07bc |
GFHN 169 |
0.50±0.04bc |
0.44±0.04bc |
0.68±0.06bc |
0.51±0.05bc |
GH 1 |
0.46±0.06c |
0.41±0.06c |
0.63±0.09c |
0.48±0.06c |
GXHZ |
0.81±0.05a |
0.72±0.05c |
0.91±0.07a |
0.83±0.06a |
GHSZ |
0.64±0.06b |
0.57±0.05b |
0.88±0.08b |
0.66±0.06b |
YXN |
0.40±0.05c |
0.35±0.04c |
0.54±0.07c |
0.41±0.05c |