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. 2018 May 24;9:677. doi: 10.3389/fpls.2018.00677

Rational Application of Fertilizer Nitrogen to Soil in Combination With Foliar Zn Spraying Improved Zn Nutritional Quality of Wheat Grains

Haiyong Xia 1,2,3,*, Yanfang Xue 4,*, Dunyi Liu 5, Weilin Kong 1, Yanhui Xue 1, Yanyan Tang 6, Jin Li 6, Dong Li 6, Peipei Mei 6
PMCID: PMC5978247  PMID: 29881394

Abstract

To alleviate human zinc (Zn) deficiency, it is worthy to develop rational agronomic managements to achieve high yielding and high resource-use efficiency wheat (Triticum aestivum L.) grains biofortified with Zn. Effects of application of three rates of nitrogen (N) fertilizer (75,200 and 275 kg·ha−1) to soil in combination with three foliar applications (deionized water, Zn alone, and a combination of Zn and sucrose) on grain yield, yield components, grain Zn concentration, protein, phytic acid (PA), phosphorus (P), calcium (Ca), and carbon (C), as well as on Zn bioavailability, were investigated in four wheat cultivars (“Jinan 17,” “Jimai 20,” “Jimai 22,” and “Luyuan 502”) under field conditions. Enhanced N increased Zn and protein concentrations as well as bioavailability; excessive N input did not result in further improvements. Zinc spraying was more effective than soil fertilizer N application, the spray of Zn (with or without sucrose) increased grain Zn concentrations by 11.1–15.6 mg·kg−1 (27.1–38.1%), and increased grain Zn bioavailability, estimated using total daily absorbed Zn (TAZ) and molar ratios of PA/Zn) and PA × Ca/Zn, by 0.4–0.6 mg d−1 (28.6–42.9%), 23.1–27.4% and 24.0–28.0%, respectively. Remarkably, increases caused by ‘Zn + sucrose’ were higher than spraying Zn alone. Grain Zn bioavailability was more sensitive to the selection of cultivar than Zn concentrations. Among cultivars, the higher the grain yields and concentrations of antinutritional compounds, the lower the grain Zn nutritional quality would be. 200 kg N ha−1 application rate in combination with foliar spraying of “Zn + sucrose” maximized grain Zn concentrations of “Jinan 17,” “Jimai 20,” “Jimai 22,” and “Luyuan 502” to be 59.4, 56.9, 55.8, and 60.9 mg kg−1, respectively, achieving the target value for biofortification. Additionally, PA/Zn and PA × Ca/Zn of “Jinan 17,” “Jimai 20,” and “Luyuan 502” were <15 and 200, and TAZ was maximized to be 2.2, 2.0, and 2.1 mg d−1, respectively, indicating higher bioavailability. Therefore, optimal soil N and foliar Zn management together with suitable cultivars maintained high grain yield with lower N input and could substantially increase grain Zn nutritional quality simultaneously.

Keywords: Zinc biofortification, nitrogen fertilizer, foliar application, phytic acid, protein, carbohydrate, calcium, bioavailability

Introduction

Zinc (Zn) is an essential micronutrient for the survival of plants, animals and human beings. Zinc deficiency, however, as one of the most widespread nutritional disorders, is prevalent in a lot of regions worldwide, especially in developing countries (Cakmak, 2008). Zinc deficiency causes serious health complications including retarded growth, anorexia, and hypogeusia in children (Brown et al., 2002), as well as pregnancy problems and several chronic diseases in adults (Prasad, 2001; Ota et al., 2012). It has been reported that more than 30% of the whole world's 6 billion people are deficient in Zn (White and Broadley, 2009), and a 1.9% total global burden of disease is caused by Zn deficiency (Rodgers et al., 2004). Annually, around 800,000 people die because of zinc deficiency, of which 450,000 are children under 5 years old (Das and Green, 2013). It has been reported that diarrhea causes 15% of infant deaths, which is dramatically higher than 2% due to HIV/AIDS, number of children below 5 years dying from diarrhea and pneumonia was alarmingly high up to 600,000 in India in 2010, and Zn supplementation could decrease most of children deaths due to diarrhea and pneumonia (United Nations International Children's Emergency Fund, 2012; Das and Green, 2013). In China, dietary deficiency of Zn affects about 100 million people, mostly children below 5 years old and pregnant women living in rural areas (Ma et al., 2005).

Limited food diversity and insufficient dietary Zn intake are responsible for Zn deficiency in human body, especially for those people in developing countries survive and rely on wheat-based diets containing low Zn concentrations (Welch and Graham, 2004). China, as the world's largest consumer and producer of wheat, produced 17.6% of the world's wheat harvest (FAOSTAT, 2016)1 Moreover, half Chinese people rely on wheat-dominated foods, especially in northern China. Chen et al. (2017) reported that Zn concentrations in wheat grains ranged between 10.1 and 49.7 mg kg−1 with an average of 23.3 mg kg−1 in seven major wheat production provinces of China. However, this averaged concentration is much lower than the biofortification target concentration 38 mg kg−1 set by the HarvestPlus program (http://www.harvestplus.org; Hao et al., 2015), 40 mg kg−1 (Allen et al., 2006; Tang et al., 2008), 45 mg kg−1 determined by Ortiz-Monasterio et al. (2007) and Pfeiffer and McClafferty (2007), or 40–50 mg kg−1 according to the FAO (Wang et al., 2012). Besides the inherent concentration of Zn being too low to meet daily human requirement, the bioavailability of Zn in wheat grains/flours is also relatively low, because the existing antinutritional phytic acid (PA) and phenolic compounds reduce the biological availability of mineral elements including Zn, iron (Fe), and calcium (Ca) in the human digestive tract (Cakmak et al., 2010b). Additionally, the milling of the wheat grains into white flours (starch-rich endosperm) further reduces the concentration of Zn, because the Zn-enriched outer parts of the grains (mainly the aleurone layer and embryo) have been discarded (Xue et al., 2014a). Therefore, increasing the Zn concentration as well as its bioavailability in wheat grains/flours and promoting wholegrain nutrition is now an urgent need for human health benefits.

Harvesting wheat with a higher concentration of Zn to instill benefits for human health is thought to be obtained more rapidly by the agronomic biofortification approach (e.g., fertilization) than by traditional breeding or genetic engineering methods (Chen et al., 2017). The application of nitrogen (N) fertilizer has been commonly adopted to increase wheat production. Recent studies showed that under both field and glasshouse conditions, no or low N supply led to low wheat grain Zn concentrations, while an optimal N application amount for grain yield caused higher Zn concentrations; however, increasing N supply over the optimal rate did not further increase grain Zn concentrations as well as N concentrations, but caused a decrease in both N and Zn concentrations (Kutman et al., 2010; Shi et al., 2010; Gooding et al., 2012; Xue et al., 2012, 2014b; Chen et al., 2017). It seems that the optimal or adequate N supply significantly enhanced the rate of root Zn uptake and, more evidently, the root-to-shoot transport and re-translocation of radioisotope 65Zn from leaves into grains under both controlled and field conditions (Erenoglu et al., 2011). The reason is that N-containing Zn-chelators/transporting proteins may play important roles in Zn uptake, xylem transport, remobilization via phloem, and determining the sink strength for Zn deposition in wheat grains (Uauy et al., 2006; Chen et al., 2017). However, the effect of fertilizer N application to soil in enhancing grain Zn concentration is limited; it plays a more important role in maintaining high grain yield. Compared with soil applications of fertilizer N or Zn, foliar Zn application is much more effective in the enrichment of the whole grain and the endosperm with Zn (Zhang et al., 2010, 2012b; Wang et al., 2012; Zou et al., 2012). Experiments conducted in seven countries (China, India, Kazakhstan, Mexico, Pakistan, Turkey and Zambia) covering 23 sites over 3 years by using 10 different wheat cultivars showed that a 83.5% increase (more than 10 mg·kg−1) in grain Zn was achieved by foliar Zn spraying alone, while soil Zn fertilization was less effective (Zou et al., 2012). Zinc concentration in wheat grains was positively correlated with foliar Zn rates (Zhang et al., 2012b), indicating that the grain sink strength and the translocation of Zn to grains are not limiting factors under the given conditions. Can a strategy be implemented to maximize the harvest of grain Zn (concentration and bioavailability) and grain yield at the same time? We speculate that improving grain yield and Zn uptake by sufficient/optimal N application during the vegetative growth stage together with efficient foliar application of Zn to maintain sufficient Zn in wheat shoots for its re-translocation to grains after anthesis under field conditions may maximize grain yields and Zn accumulation in whole grains of wheat. However, such an integrated strategy has not yet been investigated, especially in relation to grain Zn bioavailability and other grain Zn nutritional quality-related traits including concentrations of protein, total and phytate phosphorus (P), and Ca.

The carbohydrate or sucrose status of the plant can influence the transport of Zn into the developing wheat grain. Pearson et al. (1996) observed that the depletion of carbohydrate reserves within cultured ears of wheat (by maintaining them in darkness prior to labeling) reduced the transport of radioisotope 65Zn into the grain. Because the grain sink capacity is limited, sucrose at high supply rates may accumulate in the peduncle and chaff, resulting in stomatal closure, the abatement of transportation by the xylem, and finally a decreased accumulation of micronutrients (including Zn) in grains (Ma et al., 1996). Recent studies showed that the grain Zn concentration significantly decreased with increasing sucrose supply to detached ears, due to a dilution effect resulting from the increase in grain weight (Zhang et al., 2012a; Liu et al., 2014). However, it is unknown whether exogenous sucrose supply (with/without Zn) affects the grain Zn concentration, bioavailability, and other Zn-related nutritional traits of wheat without detaching ears grown under real field conditions.

Different wheat cultivars differ in grain yields and nutritional qualities, resulting in different uses. High-quality strong gluten cultivars are suitable for making bread. Flours with mid-level gluten contents are suitable for making dumplings, noodles, or steamed buns. Flours with weak gluten contents are suitable for cookies and pastries. Previous researches have revealed that Zn concentrations in grains of wheat are largely influenced by genotype, environment and their interactions (Gomez-Becerra et al., 2010; Joshi et al., 2010; Murphy et al., 2011). Under Zn-deficient soils, Gomez-Coronado et al. (2016, 2017) found that selecting the high efficient cultivars for Zn accumulation combined with appropriate soil and foliar Zn applications could be a best strategy to biofortify bread wheat with Zn. However, responses in grain Zn concentrations, bioavailability, and other nutritional properties including concentrations of protein, total and phytate P, and Ca of the abovementioned different kinds of wheat cultivars to soil application of fertilizer N in combination with foliar Zn spray have been less studied. Most experiments investigating the relationship between N nutrition and Zn deposition in wheat grains were conducted under soil pot culture or hydroponic conditions, and usually only one cultivar or genotype was used (Gomez-Coronado et al., 2017).

The objectives of this research were (1) to quantify the effects of soil fertilizer N and foliar Zn (with or without sucrose) application on grain yields and yield components; (2) to quantify their efforts on Zn nutritional qualities including Zn concentrations and bioavailability for humans in whole flours; (3) to quantify their effects on protein, total and phytate P, Ca, and carbon (C) concentrations, and on the ratios of C/N and phyate-P/total P in whole flours; and (4) to elucidate relationships among the abovementioned grain Zn-related nutritional traits across different wheat cultivars. The differences in Zn nutritional quality-related parameters among different kinds of wheat genotypes were also evaluated.

Materials and methods

Wheat grain biofortification

The field experiment was conducted during the 2013–2014 growing season at Yinmaquan Experimental Station (36.4°N, 117.5°E), Shandong Academy of Agricultural Sciences, China. The area has a typical continental and warm climate, with an annual mean temperature of 13.6°C and a long-term mean annual rainfall of 625 mm. The soil at the site was classified as sandy loam, with a pH of 7.8 (1:2.5 w/v in water). The top 20 cm of the soil contained 19 g kg−1 organic matter analyzed using the Walkley-Black method (Walkley and Black, 1934). Available N (109 mg kg−1), Olsen P (24 mg kg−1) and exchangeable K (162 mg kg−1) were analyzed by extracting 5.0 g soil with 50 mL 2.0 mol L−1 KCl, 100 ml 0.5 mol L−1 NaHCO3 and 50 mL 1.0 mol L−1 NH4OAc, respectively (Page et al., 1982). The concentration of diethylenetriaminepentaacetic acid (DTPA)-extractable Zn obtained by extracting 10 g soil (<2 mm) with 20 mL 0.005 mol L−1 DTPA + 0.01 mol L−1 CaCl2 + 0.1 mol L−1 TEA (triethanolamine) solution (Lindsay and Norvell, 1978) was 1.5 mg kg−1.

The experiment was a split-split-plot design with three factors consisting of three foliar spray treatments (split-split plot), four cultivars (subplot), and three N application rates (main plot) in four replicates. The N application rates were 75, 200, and 275 kg of N ha−1, respectively. The four winter wheat (Triticum aestivum L.) cultivars were “Jinan 17,” “Jimai 20,” “Jimai 22,” and “Luyuan 502,” respectively. “Jinan 17” is a high-quality strong gluten cultivar, suitable for making bread. “Jimai 20” is suitable for making both bread and noodles. “Jimai 22” is a high-yielding wheat cultivar and is sown over the largest area in contemporary China. “Luyuan 502” is also a high-yielding wheat cultivar, which is widely cultivated in northern China. The three foliar treatments were: (1) foliar spray of deionized water as a control; (2) spray of ZnSO4·7H2O (0.4%, w/v); and (3) a combination spray of ZnSO4·7H2O (0.4%, w/v) and sucrose (3.0%, w/v). All solutions, containing 0.01% (v/v) Tween 20 as a surfactant, were foliar-applied at 900 L ha−1 after sunset. Foliar applications were conducted four times at 5-days intervals, starting from 5 days after wheat flowering. The area of the main plot was 4 × 20 m = 80 m2, that of the subplot was 4 × 5 m = 20 m2, and that of the split-split plot was 2 × 1 m = 2 m2.

A half amount of each N application rate (supplied as urea), and all of the P fertilizer (120 kg of P2O5 ha−1, supplied as calcium superphosphate), K fertilizer (100 kg of K2O ha−1, supplied as potassium sulfate), and Zn fertilizer (30 kg of ZnSO4·7H2O ha−1) were evenly distributed and incorporated into the upper 20 cm of the soil prior to wheat planting. The remaining half of the N was top-dressed with irrigation at the jointing stage. All plots were adequately irrigated at stages of pre-wintering, stem elongation and flowering, and weeded manually. There were no fungicides applied during the growth period. At the booting stage, omethoate (2-dimethoxyphosphinoylthio-N-methylacetamide) (Dazhou Xinglong Chemical Co., Ltd., Dazhou, China) was sprayed to control aphids.

At maturity, a 1-m2 area of wheat spikes aboveground in the center of each split-split plot subjected to foliar spraying treatments was removed by hand for determination of grain yield and yield components. The number of spikes in the 1 m2 area was counted; 30 random spikes were used to count and calculate the averaged kernel number per spike. All grains were manually separated from the husks, oven-dried at 70°C and then weighed to determine the 1,000 kernel weight and grain yield.

Nutrient analysis

After being washed quickly with deionized water, about 1 kg of grain samples were dried in an oven at 60–65°C for 72 h and then ground with a stainless-steel grinder (RT-02B, Chinese Taipei). Ground samples were digested with HNO3-H2O2 in a closed microwave digester (CEM, Matthews, North Carolina, USA). The concentrations of nutrients (P, Zn, and Ca) in the digests were determined by inductively coupled plasma atomic emission spectroscopy (ICP-AES, OPTIMA 3300 DV, Perkin-Elmer, Waltham, Massachusetts, USA). A reference grain sample IPE556 from Wageningen University was included in each batch to ensure analytical quality. Phytate-P concentration was analyzed according to the method of Haug and Lantzsch (1983). The carbon concentration and ratio of C/N was determined using Multi N/C 3100 (Analytik Jena AG, Germany). Grain protein concentration on a dry weight basis was determined by a near infrared transmittance analyzer Foss-Tecator 1241 (Foss, Hoganas, Sweden), which was calibrated by the Kjeldahl method according to Approved Method 46–12 (American Association for Clinical Chemistry, 2000).

Estimation of Zn bioavailability

The molar ratio of PA/Zn has been widely used as a simplified indicator of Zn bioavailability in the human diet (Morris and Ellis, 1982; Ryan et al., 2008; Liu et al., 2017). Calcium may accentuate the effect of PA on Zn bioavailability. As a result, the molar ratio of PA × Ca/Zn has also been adopted as a measure of Zn bioavailability (Ellis et al., 1987). Phytate-P was converted to PA by dividing by 0.282 to calculate the molar ratios of PA/Zn and PA × Ca/Zn. A molar ratio of PA/Zn below the critical ratio of 15 represented about 35% Zn availability (World Health Organization, 1996). A molar ratio of PA × Ca/Zn below the critical ratio of 200 indicated a good Zn bioavailability (Ellis et al., 1987).

The human body regulates Zn homeostasis through gastrointestinal secretion and excretion of endogenous Zn in addition to absorption of exogenous Zn (Lim et al., 2013). A trivariate model based on Zn homeostasis in the human intestine has also been widely adopted to evaluate Zn bioavailability (Miller et al., 2007; Liu et al., 2017):

TAZ=0.5 × 65 × 100 × {AMAX+TDZ+KR × (1+TDPKP)-(AMAX+TDZ+KR×(1+TDPKP) )2-4 × AMAX × TDZ }

where TAZ (total daily absorbed Zn, mg Zn d−1) was based on reference adults consuming wheat flour (0.3 kg d−1) as a sole daily source of Zn and phytate (Rosado et al., 2009); AMAX = maximum Zn absorption; TDZ (total daily dietary Zn, mmol Zn d−1) = Zn concentration in wheat flour (mg kg−1) × reference adults consuming wheat flour (0.3 kg d−1) ÷ the relative atomic mass of Zn (65 g mol−1); KR = equilibrium dissociation constant of the Zn-receptor binding reaction; TDP (total daily dietary PA, mmol PA Ld−1) = PA concentration in wheat flour (mg kg−1) × reference adults consuming wheat flour (0.3 kg d−1) ÷ the relative molecular mass (660.04 g mol−1); and KP = equilibrium dissociation constant of the Zn–PA binding reaction (Liu et al., 2017). The three parameters regarding Zn homeostasis in the human intestine, AMAX, KR, and KP, have their constant values of 0.091, 0.680, and 0.033, respectively (Hambidge et al., 2010).

Statistical analysis

Data were subjected to ANOVA using SAS software (SAS 8.0, SAS Institute, Cary, North Carolina, USA) and means were compared by Fisher's protected least significant difference (LSD) at P ≤ 0.05, 0.01, or 0.001. SPSS software (17.0) was used for calculating Pearson correlation coefficients.

Results

Grain yields and yield components

Increasing the N application rate from 75 to 200 kg ha−1 and from 200 to 275 kg ha−1, decreased grain yields gradually from the initial 7719.7 kg ha−1 to the final 7226.6 kg ha−1, and decreased spike numbers from 449.1 to 415.5 104 ha −1 (Table 1). Compared to the low N supply (75 kg N ha−1), the 1,000 kernel weight was significantly increased to its maximum value of 45.6 g by 200 kg N ha−1. No significant effects of N on the kernel number per spike were observed. Among different wheat cultivars, grain yields varied from 7073.3 to 7703.0 kg ha−1. ‘Luyuan’ 502 had the lowest grain yield, which was significantly lower than that of “Jimai 20,” and “Jimai 22” had the maximum yield. Spike numbers are in the order of “Jinan 17” > “Jimai 20” > “Jimai 22” > “Luyuan 502,” and varied dramatically from 503.2 to 345.2 104 ha−1, while the kernel per spike and the 1,000 grain weight were the reverse of the previous order, varying from 32.5 to 40.2 g and from 41.5 to 48.9 g, respectively. As expected, foliar treatments had non-significant impacts on grain yields and yield components (Table 1).

Table 1.

Effects of nitrogen and foliar applications on grain yields and yield components of different wheat cultivars.

Treatments Grain yield (kg ha−1) Spike number (104 ha−1) Kernel number per spike 1,000 kernel weight (g)
N APPLICATION RATE (N)
75 kg ha−1 7719.7a 449.1a 36.5a 44.7b
200 kg ha−1 7419.1ab 424.9b 35.1a 45.6a
275 kg ha−1 7226.6b 415.5b 34.2a 45.0ab
LSD0.05 393.2 21.7 3.3 0.9
CULTIVAR (C)
Jinan 17 7417.1ab 503.2a 32.5b 41.5d
Jimai 20 7627.3a 460.5b 33.2b 44.3c
Jimai 22 7703.0a 410.6c 35.1b 45.7b
Luyuan 502 7073.3b 345.2d 40.2a 48.9a
LSD0.05 453.9 25.1 3.8 1.0
FOLIAR APPLICATION (F)
Deionized water 7460.7a 432.8a 34.3a 45.4a
ZnSO4·7H2O 7385.5a 426.7a 35.1a 44.7a
ZnSO4·7H2O + Sucrose 7519.3a 430.1a 36.4a 45.2a
LSD0.05 393.2 21.7 3.3 0.9
ANOVA
N 0.0473 0.0083 0.3855 0.1103
C 0.0326 <0.0001 0.0004 <0.0001
F 0.7958 0.8521 0.4339 0.3554
N × C 0.4600 0.1859 0.5267 0.1208
N × F 0.4483 0.6647 0.5260 0.4414
C × F 0.9760 0.9484 0.3890 0.4880
N × C × F 0.7522 0.9772 0.6243 0.4753

Values followed by different lowercase letters in the same column are significantly different among treatments at P ≤ 0.05. Values under ANOVA are probabilities (P values) of the source of variation.

Zn concentrations, Zn yields, and estimated Zn bioavailability in whole flours

Adequate N application (200 kg N ha−1) significantly increased grain Zn concentration by 9.9%, from 47.5 to 52.2 mg kg−1. It also increased Zn yield and Zn bioavailability as compared with low N application (75 kg N ha−1), estimated by TAZ, PA/Zn, and PA × Ca/Zn (Table 2). The molar ratio of PA × Ca/Zn was reduced to be <200, indicating a good Zn bioavailability. When compared with adequate N treatment, high N treatment (275 kg N ha−1) led to slightly lower grain Zn concentration and yield, and did not make an extra contribution to grain Zn bioavailability.

Table 2.

Effects of nitrogen and foliar applications on Zn concentrations, Zn yields, total daily absorbed Zn (TAZ), and molar ratios of PA/Zn and PA × Ca/Zn in grains of different wheat cultivars.

Treatments Zn concentrations (mg kg−1) Zn yields (g ha−1) TAZ (mg d−1) PA/Zn PA × Ca/Zn
N APPLICATION RATE (N)
75 kg ha−1 47.5c 367.8ab 1.6b 18.5a 203.4a
200 kg ha−1 52.2a 383.9a 1.8a 16.7b 188.3b
275 kg ha−1 49.6b 357.6b 1.8a 16.6b 189.3b
LSD0.05 1.6 19.0 0.1 0.8 11.4
CULTIVAR (C)
Jinan 17 50.4b 374.1a 2.0a 14.7c 140.1c
Jimai 20 47.0c 358.5a 1.7b 17.0b 194.5b
Jimai 22 48.9b 376.4a 1.4c 20.7a 249.1a
Luyuan 502 52.9a 370.1a 1.8b 16.7b 190.9b
LSD0.05 1.8 22.0 0.1 1.0 13.1
FOLIAR APPLICATION (F)
Deionized water 40.9c 303.7c 1.4c 20.8a 234.2a
ZnSO4·7H2O 52.0b 382.0b 1.8b 16.0b 178.1b
ZnSO4·7H2O + Sucrose 56.5a 423.7a 2.0a 15.1c 168.6b
LSD0.05 1.6 19.0 0.1 0.8 11.4
ANOVA
N <0.0001 0.0251 0.0018 <.0001 0.0153
C <0.0001 0.3819 <0.0001 <0.0001 <0.0001
F <0.0001 <0.0001 <0.0001 <0.0001 <0.0001
N × C 0.0628 0.0315 0.9132 0.3785 0.1442
N × F 0.7696 0.1596 0.2093 0.0067 0.1459
C × F 0.6965 0.7337 0.0109 0.0002 <0.0001
N × C × F 0.7136 0.9196 0.4234 0.5387 0.7733

Values followed by different lowercase letters in the same column are significantly different among treatments at P ≤ 0.05. Values under ANOVA are probabilities (P values) of the source of variation.

Wheat cultivars greatly differed in grain Zn concentration (47.0–52.9 mg kg−1), TAZ (1.4–2.0 mg d−1), and molar ratios of PA/Zn (15.1–20.8) and PA × Ca/Zn (168.6–234.2) (Table 2). “Jimai 20” had the lowest grain Zn concentration, “Luyuan 502” had the highest. “Jinan 17,” as a high-quality strong gluten wheat cultivar, had the highest TAZ and lowest molar ratios of PA/Zn and PA × Ca/Zn; in contrast, the high-yielding “Jimai 22” sown over the largest area in contemporary China had the lowest TAZ and highest molar raios of PA/Zn and PA × Ca/Zn. There were no significant differences in grain Zn yields among different wheat cultivars under the given conditions.

For foliar Zn-biofortified treatments, the grain Zn concentration and TAZ were significantly increased from the initial 40.9 to 52.0 mg kg−1 and from the initial 1.4 to 1.8 mg d−1, respectively, by Zn-only treatment, and significantly increased further from 52.0 to 56.5 mg kg−1 and from 1.8 to 2.0 mg d−1, respectively, by “Zn + sucrose” treatment (Table 2). Similar results were found in grain Zn yields. In contrast, Zn-only treatment and “Zn + sucrose” decreased the molar ratios of PA/Zn by 23.1 and 27.4%, respectively, and decreased the molar ratios of PA × Ca/Zn by 24.0 and 28.0%, respectively.

In addition, as ANOVA indicates, there are some significant interactions between treatments of N applications and cultivars, between N and foliar applications, and between cultivars and foliar applications (Tables 2, 3). N applications × cultivars interaction significantly affected grain Zn yields. At all foliar treatments, no significant differences in grain Zn yields were found among different wheat cultivars at low and adequate N supply, but at high N supply, “Jimai 20” had the lowest grain Zn yield, which was significant lower than that of “Luyuan 502” treated by foliar spraying of deionized water and that of “Jimai 22” treated by foliar Zn-only spraying (Table 3). Effects of foliar applications on molar ratios of PA/Zn differed at different N supply rates. Significant interaction was found between N and foliar applications. For example, at low N supply, a mix of Zn and sucrose resulted in significant decreases in molar ratios of PA/Zn of “Jinan 17” and “Luyuan 502,” as compared with the spray of Zn-only treatment, but at adequate and high N supply, there were no significant differences (Table 3). For cultivars × foliar applications interaction, the effect turned out to be significant on all grain Zn bioavailability traits including TAZ, and molar ratios of PA/Zn and PA × Ca/Zn. As compared with the spray of deionized water, foliar spraying of Zn-only significantly increased TAZ of “Luyuan 502” at low N supply, foliar spraying of Zn and sucrose together led to a further significant increase as compared with the Zn-only treatment (Table 3). Simultaneously, molar ratios of PA/Zn and PA × Ca/Zn of “Luyuan 502” treated by foliar spraying of Zn-only were significantly lower than those treated by deionized water at low N supply, and were further significantly reduced by a combination of “Zn + sucrose” spraying. However, different wheat cultivars showed inconsistent results in terms of TAZ, and molar ratios of PA/Zn and PA × Ca/Zn as affected by foliar applications across all N treatments.

Table 3.

Effects of nitrogen and foliar applications on Zn concentrations, Zn yields, total daily absorbed Zn (TAZ), and molar ratios of PA/Zn and PA × Ca/Zn in grains of different wheat cultivars.

N application rate (kg ha−1) Cultivar Zn concentrations (mg kg−1) Zn yields (g ha−1) TAZ (mg d−1) PA/Zn PA × Ca/Zn
DWa Znb Zn + Sc DW Zn Zn + S DW Zn Zn + S DW Zn Zn + S DW Zn Zn + S
75 Jinan 17 39.3DEFc 49.2CDb 56.7ABCDa 289.0ABCc 384.0ABCb 441.9Aa 1.6BCDb 1.8ABCb 2.3ABa 18.2DEFa 15.7BCa 12.4Cb 173.5FGa 153.3CDab 109.7Db
Jimai 20 38.7EFGb 49.5CDa 52.4BCDa 263.9BCb 423.8Aa 440.8Aa 1.2EFb 1.7BCDa 1.9BCDa 23.8Ba 17.0ABb 15.4Bb 270.5ABCa 202.8ABb 175.9Bb
Jimai 22 35.7FGb 48.3Da 52.2CDa 288.5ABCb 370.4ABCa 418.5ABa 1.0Fb 1.5Da 1.5Da 27.7Aa 19.0Ab 19.6Ab 303.1Aba 215.9Ab 228.4Ab
Luyuan 502 38.6EFGc 51.2BCDb 58.7ABCa 285.6ABCc 368.7ABCb 438.1Aa 1.3DEFc 1.6CDb 2.2ABa 22.5BCa 18.1Ab 13.1BCc 255.2BCDa 201.1ABb 151.2BCc
200 Jinan 17 43.3BCDc 54.6Bb 59.4ABCa 322.9ABCb 399.3Aba 453.3Aa 1.9Ab 2.1Aab 2.2ABa 15.3Fa 13.7Cab 12.9BCb 147.5Ga 128.9Dab 121.6Db
Jimai 20 40.3CDEc 50.8BCDb 56.9ABCDa 336.1Ab 381.4ABCab 431.8Aa 1.5BCDEb 1.7BCDab 2.0ABCa 19.1CDEa 16.6ABab 14.2BCb 224.4CDEFa 195.5ABa 157.2Bb
Jimai 22 43.8ABCb 53.3BCa 55.8ABCDa 332.7ABb 405.4Aba 447.2Aa 1.2EFb 1.7BCDa 1.5Dab 23.9Ba 17.3ABb 19.9Ab 305.8ABa 202.4ABc 235.6Ab
Luyuan 502 47.7Ab 60.0Aa 60.9Aa 317.7ABCb 380.8ABCa 398.4ABa 1.5BCDEb 2.1Aa 2.0ABCa 19.4CDEa 13.7Cb 14.0BCb 216.1DEFa 158.0CDb 166.7Bb
275 Jinan 17 40.0CDEFb 51.8BCDa 59.7ABa 296.4ABCb 352.9BCab 426.8ABa 1.7ABa 1.9ABa 2.5Aa 16.7EFa 15.0BCa 12.3Ca 156.9Ga 145.6CDa 123.9CDa
Jimai 20 34.9Gb 48.5Da 50.5Da 257.1Cb 340.4Ca 351.0Ba 1.6BCc 1.9ABb 2.1ABa 18.1DEFa 15.2BCb 13.3BCb 199.8EFGa 171.0BCab 153.4Bb
Jimai 22 42.9BCDEc 51.7BCDb 56.3ABCDa 312.2ABCb 400.7ABa 412.1ABa 1.2EFb 1.7BCDa 1.6CDa 24.1ABa 16.6ABb 18.2Ab 310.2Aa 204.8ABb 235.8Ab
Luyuan 502 45.8ABb 54.6Ba 58.4ABCa 342.0Ab 375.8ABCab 424.1ABa 1.4CDEb 2.1Aa 1.9BCDa 20.8BCDa 13.6Cb 15.3Bb 247.8CDEa 157.6CDb 164.2Bb
a

Deionized water (DW).

b

ZnSO4·7H2O (Zn).

c

Sucrose (S). Values followed by different capital letters in the same column are significantly different among treatments at P ≤ 0.05; Values followed by different lowercase letters in the same row for each parameter are significantly different among treatments at P ≤ 0.05.

On average, the N application rate of 200 kg ha−1 was adequate to maintain high grain Zn concentrations, Zn yields and Zn bioavailability (Tables 2, 3). At the 200 kg N ha−1 application rate combined with foliar spray of “Zn + sucrose,” grain Zn concentrations of “Jinan 17,” “Jimai 20,” “Jimai 22,” and “Luyuan 502” were maximized to be 59.4, 56.9, 55.8, and 60.9 mg kg−1, respectively, achieving the biofortification target value of 38–50 mg kg−1 (Table 3). In addition, the molar ratios of PA/Zn and PA × Ca/Zn of “Jinan 17,” “Jimai 20,” and “Luyuan 502” were lower than the critical values of 15 and 200, respectively, suggesting higher Zn bioavailability (Table 3).

Concentrations of protein, total and phytate phosphorus, calcium, and other Zn-related nutritional traits in whole flours

Compared to the control treatment of low N supply, adequate N treatment significantly increased the protein concentration from 13.3 to 13.7%, and significantly decreased the ratio of C/N from 18.2 to 17.6 (Table 4). When compared with adequate N application, high N application did not make an extra contribution to the protein concentration or the ratio of C/N. However, excessive N application led to a significant lower phytate-P concentration than the adequate N supply. Variation in N supply had non-significant impacts on grain concentrations of C, total P, and Ca, and on the ratio of phytate-P/total P.

Table 4.

Effects of nitrogen and foliar applications on grain Zn nutritional quality related traits of different wheat cultivars.

Treatments Protein concentration (%) Carbon concentration (%) C/N Phytate-P concentration (g kg−1) Total P concentration (g kg−1) Phytate-P/total P (%) Ca concentration (mg kg−1)
N APPLICATION RATE (N)
75 kg ha−1 13.3b 42.7a 18.2a 2.44ab 3.64a 67.9a 436.5a
200 kg ha−1 13.7a 42.8a 17.6b 2.45a 3.86a 64.3a 447.2a
275 kg ha−1 13.7a 42.8a 17.7b 2.32b 3.63a 65.3a 449.7a
LSD0.05 0.2 0.2 0.2 0.12 0.24 4.61 14.1
CULTIVAR (C)
Jinan 17 13.5b 43.0a 18.0a 2.07d 3.33b 63.5b 379.9c
Jimai 20 13.7ab 42.7b 17.6b 2.23c 3.51b 64.9b 458.7b
Jimai 22 13.8a 42.7b 17.5b 2.84a 4.01a 71.5a 482.5a
Luyuan 502 13.2c 42.7b 18.2a 2.46b 4.00a 63.3b 456.6b
LSD0.05 0.2 0.2 0.2 0.14 0.28 5.32 16.2
FOLIAR APPLICATION (F)
Deionized water 13.5b 42.8ab 17.9a 2.43a 3.91a 63.3a 445.0a
ZnSO4·7H2O 13.5b 42.9a 17.8ab 2.37a 3.61b 66.7a 444.8a
ZnSO4·7H2O + Sucrose 13.7a 42.7b 17.7b 2.41a 3.61b 67.5a 443.6a
LSD0.05 0.2 0.2 0.2 0.12 0.24 4.61 14.1
ANOVA
N <0.0001 0.3318 <0.0001 0.0740 0.1117 0.2940 0.1471
C <0.0001 0.0464 <0.0001 <0.0001 <0.0001 0.0077 <0.0001
F 0.0152 0.1116 0.0616 0.5777 0.0251 0.1656 0.9791
N × C 0.4035 0.5817 0.0212 0.0388 0.7093 0.2701 0.0726
N × F 0.7960 0.5743 0.9620 0.3695 0.1006 0.1008 0.8347
C × F 0.4111 0.9688 0.9613 0.0019 0.2355 0.4148 0.8327
N × C × F 0.2448 0.2470 0.9187 0.3903 0.8891 0.6440 0.8327

Values followed by different lowercase letters in the same column are significantly different among treatments at P ≤ 0.05. Values under ANOVA are probabilities (P values) of the source of variation.

Analysis of variance revealed significant effects of wheat cultivars on grain concentrations of protein (13.2–13.8%), C (42.7–43.0%), phytate-P (2.07–2.84 g kg−1), total P (3.33–4.01 g kg−1), and Ca (379.9–482.5 mg kg−1), as well as on the ratios of C/N (17.5–18.2) and phytate-P/total P (63.3–71.5%). “Luyuan 502” had a significantly lower protein concentration than the other three wheat cultivars; in addition, the protein concentration of “Jinan 17” was significantly lower than “Jimai 22.” “Jinan 17” had relatively higher C concentration than “Jimai 20,” “Jimai 22,” and “Luyuan 502.” The ratios of C/N of “Jinan 17” and “Luyuan 502” were significantly higher than those of “Jimai 20” and “Jimai 22.” “Jinan 17,” as a high-quality strong gluten wheat cultivar, had the lowest concentrations of phytate-P, total P, and Ca; in contrast, the high-yielding “Jimai 22” had the highest concentrations of phytate-P, total P, and Ca, and the highest ratio of phytate-P/total P (Table 4).

Compared with the control, foliar Zn or “Zn + sucrose” application had no effects on whole flour traits including concentrations of phytate-P and Ca, and the ratio of phytate-P/total P, but significantly decreased total P concentrations and gradually decreased the ratio of C/N in whole flours. “Zn + sucrose” significantly increased the protein concentration as compared to the control and Zn-only treatment, but significantly reduced the carbon content as compared to the Zn-only treatment (Table 4).

The interaction of fertilizer N applications × cultivars significantly affected C/N ratios (Tables 4, 5). C/N ratios of “Luyuan 502” were significantly higher than those of “Jimai 20” at low N supply, but not at adequate and high N supply across all foliar treatments; C/N ratios of “Luyuan 502” were significantly higher than those of “Jimai 22” at low and high N supply, but not at the adequate N supply (Table 5). N applications × cultivars interaction as well as cultivars × foliar applications interaction significantly affected phytate-P concentrations (Tables 4, 5). For example, the phytate-P concentration of “Luyuan 502” treated by foliar application of “Zn + sucrose” was significantly higher than that of “Jinan 17” or “Jimai 20” at the high N supply, but not at low and adequate N supply (Table 5). Different cultivars had different responses to foliar treatments. The spray of Zn-only and “Zn + sucrose” significantly increased phytate-P concentrations of “Jinan 17” as compared to the control treatment of deionized water, whereas other cultivars showed non-significant differences at the adequate N supply.

Table 5.

Effects of nitrogen and foliar applications on C/N ratios and phytate-P concentrations in grains of different wheat cultivars.

N application rate (kg ha−1) Cultivar C/N Phytate-P concentration (g kg−1)
DWa Znb Zn + Sc DW Zn Zn + S
75 Jinan 17 18.1Ba 18.3ABa 18.0ABa 2.04DEa 2.21BCa 1.99Ea
Jimai 20 18.0BCa 17.5CDa 17.8BCDa 2.63ABCa 2.41ABCa 2.30CDEa
Jimai 22 18.0BCa 17.9BCa 17.7BCDa 2.83ABa 2.62ABa 2.93ABa
Luyuan 502 18.9Aab 19.0Aa 18.6Ab 2.48BCDab 2.64ABa 2.20CDEb
200 Jinan 17 18.1Ba 17.8BCDb 17.8BCDb 1.89Eb 2.14Ca 2.19CDEa
Jimai 20 17.7BCa 17.6BCDa 17.3DEa 2.21CDEa 2.41ABCa 2.30CDEa
Jimai 22 17.3Ca 17.4CDa 17.4CDEa 2.99Aa 2.65Aa 3.13Aa
Luyuan 502 17.9BCa 17.5CDa 17.7BCDa 2.63ABCa 2.38ABCa 2.44CDa
275 Jinan 17 18.1Ba 18.1BCa 17.7BCDb 1.91Ea 2.24ABCa 2.04DEa
Jimai 20 17.8BCa 17.6CDa 17.5BCDEa 1.81Eb 2.11Ca 1.93Eab
Jimai 22 17.2Ca 17.2Da 17.1Ea 2.96Aa 2.46ABCa 2.95ABa
Luyuan 502 18.3ABa 18.0BCa 17.9BCa 2.74ABa 2.12Ca 2.55BCa
a

Deionized water (DW).

b

ZnSO4·7H2O (Zn).

c

Sucrose (S). Values followed by different capital letters in the same column are significantly different among treatments at P ≤ 0.05; values followed by different lowercase letters in the same row for each parameter are significantly different among treatments at P ≤ 0.05.

Relationships among grain Zn nutritional quality-related parameters

Grain Zn concentrations were positively correlated with parameters of TAZ, 1,000 kernel weights, Zn yields, and protein concentrations, but negatively correlated with spike numbers, grain yields, C/N ratios, and molar ratios of PA/Zn and PA × Ca/Zn under field conditions (Table 6). Total daily absorbed Zn was also positively correlated with Zn yields, but negatively correlated with 1000 kernel weights, phytate-P, total P, phytate-P/total P, Ca concentration, and molar ratios of PA/Zn and PA × Ca/Zn.

Table 6.

Pearson correlation coefficients among grain zinc concentration (ZnC), total daily absorbed Zn (TAZ), spike number (SN), kernel number per spike (KNPS), 1,000 kernel weight (1,000 KW), grain yield (Y), Zn yield (ZnY), carbon concentration (CC), protein concentration (PC), C/N, phytate-P concentration (PA-P), total P concentration (TP), PA-P/TP, calcium concentration (CaC), and molar ratios of PA/Zn and PA × Ca/Zn in different wheat genotypes (n = 144).

Parameters TAZ SN KNPS 1000 KW Y ZnY CC PC C/N PA-P TP PA-P/TP CaC PA/Zn PA × Ca/Zn
ZnC 0.633*** −0.249** ns 0.171* −0.179* 0.729*** ns 0.242** −0.315*** ns ns ns ns −0.634*** −0.478***
TAZ - ns ns −0.231** ns 0.498*** ns ns ns −0.680*** −0.247** −0.415*** −0.351*** −0.929*** −0.867***
SN - - −0.233** −0.628*** 0.579*** 0.213** 0.177* ns 0.212* −0.339*** −0.318*** ns −0.386*** ns −0.207*
KNPS - - - 0.266*** ns ns ns −0.212* ns ns ns ns 0.166* ns ns
1,000 KW - - - - ns ns −0.199* ns ns 0.443*** 0.367*** ns 0.454*** 0.216** 0.339***
Y - - - - - 0.530*** ns ns 0.237** ns ns ns ns ns ns
ZnY - - - - - - ns ns ns ns ns ns ns −0.508*** −0.378***
CC - - - - - - - ns ns −0.193* ns ns ns ns ns
PC - - - - - - - - −0.621*** ns ns ns ns ns ns
C/N - - - - - - - - - −0.269*** ns ns −0.303*** ns ns
PA-P - - - - - - - - - - 0.372*** 0.599*** 0.513*** 0.694*** 0.762***
TP - - - - - - - - - - - −0.511*** 0.297*** 0.303*** 0.360***
PA-P/TP - - - - - - - - - - - - 0.210* 0.379*** 0.389***
CaC - - - - - - - - - - - - - 0.327*** 0.636***
PA/Zn - - - - - - - - - - - - - - 0.932***
PA × Ca/Zn - - - - - - - - - - - - - - -

“-” indicates no this value,

“*”, “**”, and “***”

indicate significant correlations at P ≤ 0.05, P ≤ 0.01, and P ≤ 0.001, respectively.

Considering all 144 data points in this study, the molar ratios of PA/Zn and PA × Ca/Zn varied from 6.9 to 30.5 and from 62.7 to 357.2, respectively, and the TAZ ranged from 0.93 to 4.0 mg d−1. Figure 1 shows the relationship between TAZ and PA/Zn, which can be precisely described by a negative power function (R2 = 1.00****), while the relationship between TAZ and PA × Ca/Zn can be described by another negative power function (R2 = 0.85****). According to the fitted curves, the critical value of 15 for PA/Zn and 200 for PA × Ca/Zn corresponded with TAZ values of 1.9 and 1.6 mg d−1, respectively.

Figure 1.

Figure 1

Relationships between total daily absorbed Zn (TAZ, mg d−1) and molar ratios of phytic acid (PA)/Zn (A); and between TAZ and molar ratios of PA × calcium (Ca)/Zn (B) in whole flours across all treatments of nitrogen (N) application, cultivars and foliar spraying (n = 144). “****” indicates significant at P ≤ 0.0001.

There were also significant and negative correlations between spike numbers and kernel numbers per spike, 1,000 kernel weights, phytate-P, total P, Ca concentrations, or molar ratios of PA × Ca/Zn; however, correlations between spike numbers and grain yields, Zn yields, C concentrations, or C/N ratios were all positive. Kernel numbers per spike were also negatively correlated with protein concentrations, but positively correlated with 1,000 kernel weights and Ca concentrations. One thousand kernel weights were also negatively correlated with C concentration, and positively correlated with phytate-P, total P, Ca concentrations, and molar ratios of PA/Zn and PA × Ca/Zn (Table 6).

Grain yields were positively correlated with Zn yields and C/N ratios, and Zn yields were negatively correlated with molar ratios of PA/Zn and PA × Ca/Zn. C concentrations were also negatively correlated with phytate-P concentrations, and concentrations of protein, Ca, and phytate-P were all negatively correlated with C/N ratios. In addition, positive correlations were observed among concentrations of Ca, phytate-P and total P, phytate-P/total P and molar ratios of PA/Zn and PA × Ca/Zn, except for a negative correlation between phytate-P/total P and total P (Table 6).

Discussion

Optimal fertilizer N application rate maintained high grain yields and enhanced grain Zn and protein concentrations as well as bioavailability

In 2015, a “Zero Increase Action Plan” was formally announced by the Ministry of Agriculture to reduce national fertilizer (e.g., N) use by 2020 (Liu et al., 2016); in practice, China is undergoing a transformation from the overuse of N to reasonable N input in wheat production (Chen et al., 2011, 2017), and our research showed that this transformation would have no negative effects on grain yield, Zn concentration, or bioavailability estimated using TAZ, PA/Zn, and PA × Ca/Zn (Tables 1, 2). Compared to adequate N supply (200 kg ha−1), excessive N application (275 kg ha−1) did not make an extra contribution to wheat growth, grain Zn concentration, Zn yield, bioavailability, or protein concentration, but resulted in a slight decline in grain yield, Zn concentration, and Zn yield at maturity (Tables 1, 2, 4). This is consistent with Xue et al. (2012), who found that further increasing N supply from the optimal value (198 kg ha−1 in the first year and 195 kg ha−1 in the second year) to excessive N supply (297 and 292.5 kg ha−1, respectively) caused non-significant increases in grain Zn concentration and content. However, N deficiency is still prevalent in many other developing countries, which may not only limit grain yield increase, but also lead to low grain Zn concentrations (Chen et al., 2017). In the current study, increasing N supply from the low level of 75 kg ha−1 to the optimal/adequate level of 200 kg ha−1 effectively improved grain Zn nutritional qualities. Therefore, rational N supply is necessary to maintain high grain yield for food quantity security, and it is also beneficial for the improvement of grain Zn nutrition for human dietary quality.

Foliar Zn spraying is an effective way to improve grain Zn nutritional quality

Foliar Zn spraying with or without sucrose did not affect yield traits of wheat (Table 1). Similar results were previously reported (Cakmak et al., 2010a,b; Wang et al., 2012; Zhang et al., 2012b; Zou et al., 2012; Zhao et al., 2014), indicating that the grain yield was less dependent on exogenous foliar Zn and/or carbohydrate supply in most cases. There is one exception that foliar Zn spraying increased grain yield under drought conditions, even in a soil with high DTPA-Zn (Karim et al., 2012), suggesting that the exogenous Zn effectively supplemented the demand for Zn of wheat plants and reduced the drought-induced oxidative cell damage due to the improved antioxidative defense ability (Cakmak, 2000).

In agreement with the literature, foliar Zn supply alone significantly increased grain Zn accumulation (Cakmak et al., 2010a; Wang et al., 2012; Zhang et al., 2012b) as well as estimated Zn bioavailability in this study (Table 2). As reported previously, there was significantly positive correlation between grain Zn concentration and leaf concentration, indicating the importance of the pool of physiologically available Zn within vegetative tissues which are effectively utilized for grain Zn deposition after flowering (Haslett et al., 2001; Cakmak et al., 2010a; Kutman et al., 2010; Zou et al., 2012). Therefore, maintaining high amounts of Zn in leaves by foliar Zn spraying would undoubtedly contribute to the increase in grain Zn concentration as shown in the current study. According to reports from Graham et al. (2007) and Cakmak et al. (2010a), the current marked increase in grain Zn concentration (11.1 mg kg−1 in average, > the target of 10.0 mg kg−1) caused by foliar Zn application alone would have a measurable impact on improving dietary intake of Zn by human beings and human health. In addition to bran, the increase in wheat grain Zn concentration also occurs in endosperm, where Zn has higher bioavailability (Cakmak et al., 2010a). It is worth pointing out that foliar Zn spraying represents an effective way to grain Zn biofortification of wheat.

Remarkably, a synergistic “Zn + sucrose” foliar spray increased grain Zn concentration, content, and bioavailability more so than Zn alone. The relatively higher effectiveness of “Zn + sucrose” can be attributed to three aspects of sucrose: (1) a longer drying time of the Zn solution; (2) improved leaf cuticle penetration; and (3) improved translocation rates of Zn from the site of absorption to grains, as suggested by Zhao et al. (2014). Fernández et al. (2017) reviewed that specific additives can be used to lower the deliquescence relative humidity (DRH) of spray solutions to increase the rate of foliar absorption. In addition, swelling of the cuticle by absorption of substantial amounts of water may form “water-filled pores” (Schreiber, 2005) allowing the penetration of hydrophilic solutes across the cuticle (Fernández et al., 2017). Sucrose may have played such roles in lowering the DRH and facilitating swelling of the cuticle due to its strong ability to absorb and hold water. Our present study showed that foliar sucrose supply did not lead to significantly higher C concentrations and ratios of C/N, but led to slight declines and a significantly higher protein concentration (Table 4). In addition, no significant correlations were observed between grain Zn and C concentration, nor between TAZ and C or C/N, but grain Zn concentration was negatively correlated with C/N (Table 6). Therefore, we speculate that the foliar sucrose had not entered into the leaf cells or been translocated from leaves to grains, accompanying Zn, thus the distinguished effect of “Zn + sucrose” may be more dependent on aspects of (1) and (2), which need to be further studied.

Cultivars showing higher grain yields and concentrations of antinutritional compounds had lower grain Zn nutritional quality

Many studies showed that there is a contradiction between grain yield and nutrition quality in crop breeding. For example, although the low phytate wheat lines have been used in breeding to improve grain Zn bioavailability, research along these lines has so far failed because of the associated 8–25% yield reduction (Guttieri et al., 2004, 2006). Some previous studies have also found that wheat grain Zn concentrations negatively correlated with grain yields (a “dilution” effect) or cultivar release years among diverse wheat cultivars and regions (Zhao et al., 2009; Velu et al., 2014). However, agronomic management approaches (e.g., fertilization) have not been given careful consideration in these studies (Chen et al., 2017). Many results presented in this study can confirm the above statement. Cultivars obviously differed in grain yields, yield components, grain Zn concentrations, bioavailability, and other nutritional traits (Tables 1, 2, 4). The grain Zn bioavailability of the most commonly used high-yielding “Jimai 22”—which exhibits the highest grain yields and concentrations of antinutritional compounds including phytate-P, total P, and Ca—was the lowest among the four wheat cultivars investigated. In contrast, “Jinan 17,” as a high-quality strong gluten wheat cultivar with relatively lower grain yields than “Jimai 22” and the lowest concentrations of phytate-P, total P, and Ca, exhibited the highest grain Zn bioavailability. Grain Zn concentrations were negatively correlated with grain yields, PA/Zn, and PA × Ca/Zn (Table 6). TAZ was negatively correlated with concentrations of phytate and total P, Ca, and molar ratios of PA/Zn and PA × Ca/Zn. Phytate and total P, phytate-P/total P, and Ca were all positively correlated with PA/Zn or PA × Ca/Zn. All of these results indicated that the higher the grain yields and concentrations of antinutritional compounds, the lower the grain Zn nutritional quality will be. It is worth mentioning that rational N application and foliar “Zn + sucrose” spray maintained high grain yield and simultaneously increased grain nutrition quality in relation to protein concentration, grain Zn concentration, and bioavailability, irrespective of the wheat cultivar. Foliar Zn supply decreased the concentration of total phosphorus, and there was a significant and positive correlation between grain Zn and protein concentrations.

Integrated strategies for Zn biofortification

Wang et al. (2012) found Zn concentrations in grains of wheat varied from 18.79 to 23.11 mg kg−1 in the control treatment of soil containing 0.78 mg kg−1 DTPA-Zn without soil Zn application. Gomez-Coronado et al. (2017) reported grain Zn concentrations varied from 14.0 to 20.3 mg kg−1 when the DTPA-Zn was 0.28 mg kg−1 without soil Zn application, which is lower than 0.5 mg kg−1 DTPA-Zn as the widely recognized critical Zn level (Sims and Johnson, 1991). It is clear that the range of Zn concentrations between 34.9 and 47.7 mg kg−1 in the non-foliar Zn treated cultivars of this preset study (Table 3) is much higher than those obtained from Wang et al. (2012) and Gomez-Coronado et al. (2017), properly due to different wheat cultivars investigated and a high DTPA-Zn (1.5 mg kg−1) in combination with soil application of 30 kg ZnSO4·7H2O ha−1. In the location of Samsun with 1.59 mg kg−1 DTPA-Zn and Adana with 0.49 mg kg−1, at the rate of 50 kg ha−1 of ZnSO4·7H2O application to soil, Cakmak et al. (2010a) found grain Zn concentrations varied from 23 to 29 mg kg−1 and from 32 to 37 mg kg−1 in the controls without foliar Zn application, respectively, which indicated that a higher DTPA-Zn didn't necessarily lead to a higher grain Zn concentration. For example, the soil water content and precipitation are also considered as a major factor influencing grain Zn accumulation (Gomez-Coronado et al., 2016). In addition, a large genotypic variation in grain Zn concentrations was observed by Gomez-Coronado et al. (2016). The variation found in increases caused by foliar Zn application was also wide in different experiments. The current study showed a 27.1–38.1% increase in grain Zn concentrations treated by foliar Zn applications with or without sucrose. Lower increases were found by Cakmak et al. (2010a), of 14.9–35.0% in the location of Konya with 0.18 mg kg−1 DTPA-Zn, with foliar Zn applications alone at the soil application rate of 50 kg ZnSO4·7H2O ha−1. Higher increases were found by Cakmak et al. (2010a), of 44.8–106.9% in locations of Samsun and Adana, by Zhang et al. (2012b), of 39.5–72.9%, by Wang et al. (2012), of about 54.0%, or by Zou et al. (2012), of about 83.5%, with foliar Zn applications alone. Even much higher increases were reported by Gomez-Coronado et al. (2016), varying from the initial grain Zn concentrations of 12–20 mg kg−1 to 42–52 mg kg−1, as affected by foliar Zn supply alone. Therefore, different results were obtained from different experiments, it is complex to develop a most effective Zn biofortification strategy, all factors including cultivars, soil and other environmental conditions, and artificial managements (e.g., fertilization and foliar application times) should be considered and managed in whole and in a proper way.

Different organizations or scientists have set different Zn biofortification target levels in wheat grains to fulfill the Zn demand by human body. As far as we know, 38 mg kg−1 is set by the HarvestPlus program (http://www.harvestplus.org; Hao et al., 2015), 40 mg kg−1 is proposed by Allen et al. (2006) and Tang et al. (2008), and 45 mg kg−1 is determined by Ortiz-Monasterio et al. (2007) and Pfeiffer and McClafferty (2007), and 40–50 mg kg−1 is according to the FAO (Wang et al., 2012). In addition, the grain Zn concentration is not the only important factor, their bioavailability is also crucial to improve the daily Zn intake by human body. The molar ratios of PA/Zn and PA × Ca/Zn have been suggested as indicators of Zn bioavailability (Morris and Ellis, 1982; Ellis et al., 1987; Ryan et al., 2008). A molar ratio of PA/Zn below the critical ratio of 15 (World Health Organization, 1996; Gargari et al., 2007) and a molar ratio of PA × Ca/Zn below the critical ratio of 200 (Ellis et al., 1987) indicate a good Zn bioavailability. Molar ratios of PA/Zn of most cereal products varied from 25 to 34, indicating a low Zn bioavailability (Welch and Graham, 2002). It seems that grain Zn concentrations of “Jinan 17,” “Jimai 20,” and “Luyuan 502” (38.6–47.7 mg kg−1) in the controls of this study without foliar Zn and foliar “Zn + sucrose” supply are adequate (Table 3), especially according to 38 mg kg−1 set by the HarvestPlus program and 40 mg kg−1 by Allen et al. (2006) and Tang et al. (2008). However, their grain Zn bioavailability is still low, especially according to values of the most widely used indicator PA/Zn (15.3–27.7) (Table 3). The current research confirms that foliar Zn spraying alone or with sucrose is necessary to enhance both Zn concentrations and especially Zn bioavailability in combination with rational N supply.

In this study, the strategy of foliar Zn spraying was more effective than soil fertilizer N application to biofortify wheat with Zn. Compared with no Zn application, Zn spraying (with or without sucrose) increased grain Zn concentrations by 11.1–15.6 mg kg−1 (27.1–38.1%), and increased grain Zn bioavailability, estimated using TAZ, PA/Zn, and PA × Ca/Zn, by 0.4–0.6 mg d−1 (28.6–42.9%), 23.1–27.4%, and 24.0–28.0%, respectively. Increases caused by N application were only 2.1–4.7 mg kg−1 (4.4–9.9%), 0.2 mg d−1 (12.5%), 9.7–10.3%, and 6.9–7.4%, respectively. Among different wheat cultivars, grain Zn concentrations only varied from 47.0–52.9 mg kg−1, while TAZ, PA/Zn, and PA × Ca/Zn dramatically varied from 1.4 to 2.0 mg d−1, 14.7–20.7, and 140.1–249.1, respectively, suggesting that grain Zn bioavailability was more likely to be influenced by cultivar.

Here, we propose an integrated strategy to improve/maximize the grain Zn nutritional quality while ensuring high yields and protecting the environment. At least three factors above should be managed in coordination in wheat production: (i) adoption of biofortified cultivars with low phytate, high grain Zn concentration and/or bioavailability, high yield, and high resistance to stresses; (ii) optimization of a N fertilizer application amount that ensures higher grain yield, better Zn nutritional quality and lower N loss; and (iii) creation of an adequate available Zn pool in wheat shoots for its re-translocation to grains by efficient and/or economic foliar Zn application after anthesis in combination with soil Zn application according to the initial soil DTPA-Zn status before sowing. Under such a scenario, the target for biofortification will be rapidly achieved by combining agronomic and genetic strategies. The target value for wheat grain Zn biofortification is set to be 38–50 mg kg−1 (Allen et al., 2006; Ortiz-Monasterio et al., 2007; Pfeiffer and McClafferty, 2007; Tang et al., 2008; Wang et al., 2012; Hao et al., 2015). In the present study, the target value was completely achieved by rational N combined with foliar “Zn + sucrose” application for “Jinan 17” and “Luyuan 502.”. In addition, the molar ratios of PA/Zn and PA × Ca/Zn of “Jinan 17” or “Luyuan 502” were much <15 and 200, respectively, and the TAZ of “Jinan 17” and “Luyuan 502” was maximized to be 2.2 and 2.1 mg d−1, respectively, indicating higher grain Zn bioavailability. Recently, TAZ was used to calculate the health impact (disability-adjusted life years (DALYs) saved) of biofortified wheat flour and its reduction of the current health burden by Liu et al. (2017), who found that a greater available Zn intake (0.24–0.7 mg d−1) in whole flours reduced the health burden (DALYs) caused by Zn deficiency by 6.58–18.21%. Therefore, optimal N and foliar Zn management combined with suitable cultivars will eventually and substantially increase the Zn concentration and bioavailability, and the health impact of whole wheat flours, and contribute to mitigate the health burden of Zn deficiency among infants and children.

Conclusion

In the current study, enhanced N application rate increased both the Zn concentration and bioavailability in whole wheat flours; excessive fertilizer N input did not improve either of them further. The strategy of foliar Zn spraying was more effective than soil fertilizer N application to biofortify wheat with Zn, especially for foliar Zn supply combined with sucrose. Compared to small variations in grain Zn concentrations, the grain Zn bioavailability was more sensitive to the selection of cultivar. Among different wheat cultivars, the higher the grain yields and concentrations of antinutritional compounds (e.g., PA), the lower the grain Zn nutritional quality will be. All of the results indicated that Zn biofortification of wheat through optimal soil N and foliar Zn management combined with suitable cultivars can maintain high grain yield with lower N input and simultaneously increase the Zn concentration, bioavailability, and thus the health impact of whole flours.

Author contributions

HX and Yanfang Xue: conceived and designed the experiments; WK, Yanhui Xue, YT, JL, DoL, and PM: performed the experiments; HX, Yanfang Xue, and DuL: analyzed the data and wrote the paper.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Funding. This work was funded by the Shandong Provincial Key Research and Development Program of China (2018GNC111012), the Shandong Provincial Natural Science Foundation of China (BS2015NY006, ZY2015YL066), the State Key Laboratory of Crop Biology of China (2016KF05), the National Key Research and Development Program of China (2017YFD0301005), the Young Scientist Research Foundation of Crop Research Institute of Shandong Academy of Agricultural Sciences of China (SAAS) (3201-09), the Shandong Provincial Innovation Project for Agricultural Key Technology Application: Research and Demonstration of Annual Planting Patterns and Key Technologies for Green Improvement of Grain, Industrial, and Forage Crops Production, and the SAAS Innovation Project (CXGC2016B04).

References

  1. American Association for Clinical Chemistry (2000). Approved Methods of the American Association of Cereal Chemists, 10th Edn, Methods 46–12. St. Paul, MN: The Association. [Google Scholar]
  2. Allen L., de Benoist B., Dary O., Hurrell R. (2006). Guidelines on Food Fortification with Micronutrients. Geneva: WHO. [Google Scholar]
  3. Brown K. H., Peerson J. M., Rivera J., Allen L. H. (2002). Effect of supplemental zinc on the growth and serum zinc concentrations of prepubertal children: a meta-analysis of randomized controlled trials. Am. J. Clin. Nutr. 75, 1062–1071. 10.1093/ajcn/75.6.1062 [DOI] [PubMed] [Google Scholar]
  4. Cakmak I. (2000). Role of zinc in protecting plant cells from reactive oxygen species. New Phytol. 146, 185–205. 10.1046/j.1469-8137.2000.00630.x [DOI] [PubMed] [Google Scholar]
  5. Cakmak I. (2008). Enrichment of cereal grains with zinc: agronomic or genetic biofortification? Plant Soil 302, 1–17. 10.1007/s11104-007-9466-3 [DOI] [Google Scholar]
  6. Cakmak I., Kalayci M., Kaya Y., Torun A. A., Aydin N., Wang Y., et al. (2010a). Biofortification and localization of zinc in wheat grain. J. Agric. Food Chem. 58, 9092–9102. 10.1021/jf101197h [DOI] [PubMed] [Google Scholar]
  7. Cakmak I., Pfeiffer W. H., McClafferty B. (2010b). Biofortification of durum wheat with zinc and iron. Cereal Chem. 87, 10–20. 10.1094/CCHEM-87-1-0010 [DOI] [Google Scholar]
  8. Chen X. P., Cui Z. L., Vitousek P. M., Cassman K. G., Matson P. A., Bai J. S., et al. (2011). Integrated soil–crop system management for food security. Proc. Natl. Acad. Sci. U.S.A. 108, 6399–6404. 10.1073/pnas.1101419108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Chen X. P., Zhang Y. Q., Tong Y. P., Xue Y. F., Liu D. Y., Zhang W., et al. (2017). Harvesting more grain zinc of wheat for human health. Sci. Rep. 7:7016. 10.1038/s41598-017-07484-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Das S., Green A. (2013). Importance of zinc in crops and human health. J. SAT Agric. Res. 11, 1–7. Available online at: http://ejournal.icrisat.org/Volume11/Agroecosystems/Importance_SDas.pdf [Google Scholar]
  11. Ellis R., Kelsay J. L., Reynolds R. D., Morris E. R., Moser P. B., Frazier C. W. (1987). Phytate:zinc and phytate × calcium:zinc millimolar ratios in self-selected diets of Americans, Asian Indians, and Nepalese. J. Am. Diet. Assoc. 87, 1043–1047. [PubMed] [Google Scholar]
  12. Erenoglu E. B., Kutman U. B., Ceylan Y., Yildiz B., Cakmak I. (2011). Improved nitrogen nutrition enhances root uptake, root-to-shoot translocation and remobilization of zinc (65Zn) in wheat. New Phytol. 189, 438–448. 10.1111/j.1469-8137.2010.03488.x [DOI] [PubMed] [Google Scholar]
  13. Fernández V., Bahamonde H. A., Peguero-Pina J. J., Gil-Pelegrin E., Sancho-Knapik D., Gil L., et al. (2017). Physico-chemical properties of plant cuticles and their functional and ecological significance. J. Exp. Bot. 68, 5293–5306. 10.1093/jxb/erx302 [DOI] [PubMed] [Google Scholar]
  14. Gargari B. P., Mahboob S., Razavieh S. V. (2007). Content of phytic acid and its mole ratio to zinc in flour and breads consumed in Tabriz, Iran. Food Chem. 100, 1115–1119. 10.1016/j.foodchem.2005.11.018 [DOI] [Google Scholar]
  15. Gomez-Becerra H. F., Yazici A., Ozturk L., Budak H., Peleg Z., Morgounov A., et al. (2010). Genetic variation and environmental stability of grain mineral nutrient concentrations in Triticum dicoccoides under five environments. Euphytica 171, 39–52. 10.1007/s10681-009-9987-3 [DOI] [Google Scholar]
  16. Gomez-Coronado F., Poblaciones M. J., Almeida A. S., Cakmak I. (2016). Zinc (Zn) concentration of bread wheat grown under Mediterranean conditions as affected by genotype and soil/foliar Zn application. Plant Soil 401, 331–346. 10.1007/s11104-015-2758-0 [DOI] [Google Scholar]
  17. Gomez-Coronado F., Poblaciones M. J., Almeida A. S., Cakmak I. (2017). Combined zinc and nitrogen fertilization in different bread wheat genotypes grown under Mediterranean conditions. Cereal Res. Commun. 45, 154–165. 10.1556/0806.44.2016.046 [DOI] [Google Scholar]
  18. Gooding M. J., Fan M. S., McGrath S. P., Shewry P. R., Zhao F. J. (2012). Contrasting effects of dwarfing alleles and nitrogen availability on mineral concentrations in wheat grain. Plant Soil 360, 93–107. 10.1007/s11104-012-1203-x [DOI] [Google Scholar]
  19. Graham R. D., Welch R. M., Saunders D. A., Ortiz-Monasterio I., Bouis H. E., Bonierbale M., et al. (2007). Nutritious subsistence food systems. Adv. Agron. 92, 1–74. 10.1016/S0065-2113(04)92001-9 [DOI] [Google Scholar]
  20. Guttieri M., Bowen D., Dorsch J. A., Raboy V., Souza E. (2004). Identification and characterization of a low phytic acid wheat. Crop Sci. 44, 418–424. 10.2135/cropsci2004.4180 [DOI] [Google Scholar]
  21. Guttieri M., Peterson K., Souza E. (2006). Agronomic performance of low phytic acid wheat. Crop Sci. 46, 2623–2629. 10.2135/cropsci2006.01.0008 [DOI] [Google Scholar]
  22. Hambidge K. M., Miller L. V., Westcott J. E., Sheng X., Krebs N. F. (2010). Zinc bioavailability and homeostasis. Am. J. Clin. Nutr. 91, 1478S−1483S. 10.3945/ajcn.2010.28674I [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Hao Y. F., Zhang Y., He Z. H. (2015). Progress in zinc biofortification of crops. Chin. Bull. Life Sci. 27, 1047–1054. 10.13376/j.cbls/2015144 [DOI] [Google Scholar]
  24. Haslett B. S., Reid R. J., Rengel Z. (2001). Zinc mobility in wheat: uptake and distribution of zinc applied to leaves or roots. Ann. Bot. 87, 379–386. 10.1006/anbo.2000.1349 [DOI] [Google Scholar]
  25. Haug W., Lantzsch H. J. (1983). Sensitive method for the rapid determination of phytate in cereals and cereal products. J. Sci. Food Agric. 34, 1423–1426. 10.1002/jsfa.2740341217 [DOI] [Google Scholar]
  26. Joshi A. K., Crossa J., Arun B., Chand R., Trethowan R., Vargas M., et al. (2010). Genotype × environment interaction for zinc and iron concentration of wheat grain in eastern Gangetic plains of India. Field Crops Res. 116, 268–277. 10.1016/j.fcr.2010.01.004 [DOI] [Google Scholar]
  27. Karim M. R., Zhang Y. Q., Zhao R. R., Chen X. P., Zhang F. S., Zou C. Q. (2012). Alleviation of drought stress in winter wheat by late foliar application of zinc, boron, and manganese. J. Plant Nutr. Soil Sci. 175, 142–151. 10.1002/jpln.201100141 [DOI] [Google Scholar]
  28. Kutman U. B., Yildiz B., Ozturk L., Cakmak L. (2010). Biofortification of durum wheat with zinc through soil and foliar applications of nitrogen. Cereal Chem. 87, 1–9. 10.1094/CCHEM-87-1-0001 [DOI] [Google Scholar]
  29. Lim K., Riddell L., Nowson C., Booth A., Szymlek-Gay E. (2013). Iron and zinc nutrition in the economically developed world: a review. Nutrients 5, 3184–3211. 10.3390/nu5083184 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Lindsay W. L., Norvell W. A. (1978). Development of a DTPA soil test for zinc, iron, manganese, and copper. Soil Sci. Soc. Am. J. 42, 421–428. 10.2136/sssaj1978.03615995004200030009x [DOI] [Google Scholar]
  31. Liu D., Liu Y., Zhang W., Chen X., Zou C. (2017). Agronomic approach of zinc biofortification can increase zinc bioavailability in wheat flour and thereby reduce zinc deficiency in humans. Nutrients 9:465. 10.3390/nu9050465 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Liu N., Zhang Y. H., Wang B., Xue Y., Yu P., Zhang Q., et al. (2014). Is grain zinc concentration in wheat limited by source? Aust. J. Crop Sci. 8, 1534–1541. Available online at: http://www.cropj.com/liu_8_11_2014_1534_1541.pdf [Google Scholar]
  33. Liu X., Vitousek P., Chang Y., Zhang W., Matson P., Zhang F. (2016). Evidence for a historic change occurring in China. Environ. Sci. Technol. 50, 505–506. 10.1021/acs.est.5b05972 [DOI] [PubMed] [Google Scholar]
  34. Ma G. S., Jin Y., Piao J. H., Kok F., Guusje B., Jacobsen E. (2005). Phytate, calcium, iron, and zinc contents and their molar ratios in foods commonly consumed in China. J. Agric. Food Chem. 53, 10285–10290. 10.1021/jf052051r [DOI] [PubMed] [Google Scholar]
  35. Ma Y. Z., MacKown C. T., van Sanford D. A. (1996). Differential effects of partial spikelet removal and defoliation on kernel growth and assimilate partitioning among wheat cultivars. Field Crops Res. 47, 201–209. 10.1016/0378-4290(96)00016-0 [DOI] [Google Scholar]
  36. Miller L. V., Krebs N. F., Hambidge K. M. (2007). A mathematical model of zinc absorption in humans as a function of dietary zinc and phytate. J. Nutr. 137, 135–141. 10.1093/jn/137.1.135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Morris E. R., Ellis R. (1982). Phytate, wheat bran, and bioavailability of dietary iron. ACS Sym. Ser. 203, 121–141. 10.1021/bk-1982-0203.ch008 [DOI] [Google Scholar]
  38. Murphy K. M., Hoagland L. A., Yan L., Colley M., Jones S. S. (2011). Genotype × environment interactions for mineral concentration in grain of organically grown spring wheat. Agron. J. 103, 1734–1741. 10.2134/agronj2011.0097 [DOI] [Google Scholar]
  39. Ortiz-Monasterio J. I., Palacios-Rojas N., Meng E., Pixley K., Trethowan R., Peña R. J. (2007). Enhancing the mineral and vitamin content of wheat and maize through plant breeding. J. Cereal Sci. 46, 293–297. 10.1016/j.jcs.2007.06.005 [DOI] [Google Scholar]
  40. Ota E., Mori R., Middleton P., Tobe-Gai R., Mahomed K., Miyazaki C., et al. (2012). Zinc supplementation for improving pregnancy and infant outcome. Cochrane Database Syst. Rev. 7:CD000230 10.1002/14651858.CD000230.pub5 [DOI] [PubMed] [Google Scholar]
  41. Page A. L., Miller R. H., Keeney D. R. (1982). Methods of Soil Analysis. Part 2, Chemical and Microbiological Properties, 2nd Edn, Madison, WI: American Society of Agronomy Inc. [Google Scholar]
  42. Pearson J. N., Rengel Z., Jenner C. F., Graham R. D. (1996). Manipulation of xylem transport affects Zn and Mn transport into developing wheat grains of cultured ears. Physiol. Plantarum 98, 229–234. 10.1034/j.1399-3054.1996.980202.x [DOI] [Google Scholar]
  43. Pfeiffer W. H., McClafferty B. (2007). Biofortification: breeding micronutrient-dense crops, in Breeding Major Food Staples, eds Kang M. S., Priyadarshan P. M. (Oxford, UK: Blackwell Publishing; ), 61–91. [Google Scholar]
  44. Prasad A. S. (2001). Discovery of human zinc deficiency: impact on human health. Nutrition 17, 685–687. 10.1016/S0899-9007(01)00598-6 [DOI] [PubMed] [Google Scholar]
  45. Rodgers A., Ezzati M., Vander Hoorn S., Lopez A. D., Lin R. B., Murray C. J. L. (2004). Distribution of major health risks: findings from the global burden of disease study. PLoS Med. 1, 44–55. 10.1371/journal.pmed.0010027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Rosado J. L., Hambidge K. M., Miller L. V., Garcia O. P., Westcott J., Gonzalez K., et al. (2009). The quantity of zinc absorbed from wheat in adult women is enhanced by biofortification. J. Nutr. 139, 1920–1925. 10.3945/jn.109.107755 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Ryan M. H., Mclnerney J. K., Record I. R., Angus J. F. (2008). Zinc bioavailability in wheat grain in relation to phosphorus fertiliser, crop sequence and mycorrhizal fungi. J. Sci. Food Agric. 88, 1208–1216. 10.1002/jsfa.3200 [DOI] [Google Scholar]
  48. Schreiber L. (2005). Polar paths of diffusion across plant cuticles: new evidence for an old hypothesis. Ann. Bot. 95, 1069–1073. 10.1093/aob/mci122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Shi R. L., Zhang Y. Q., Chen X. P., Sun Q. P., Zhang F. S., Römheld V., et al. (2010). Influence of long-term nitrogen fertilization on micronutrient density in grain of winter wheat (Triticum aestivum L.). J. Cereal Sci. 51, 165–170. 10.1016/j.jcs.2009.11.008 [DOI] [Google Scholar]
  50. Sims J. T., Johnson G. V. (1991). Micronutrient soil test, in Micronutrient in Agriculture, 2nd Edn, eds Mordvedt J. J., Cox F. R., Shuman L. M., Welch M. R. (Madison, WI: Soil Science Society of America; ), 427–476. [Google Scholar]
  51. Tang J. W., Zou C. Q., He Z. H., Shi R. L., Ivan O. M., Qu Y. Y., et al. (2008). Mineral element distributions in milling fractions of Chinese wheats. J. Cereal Sci. 48, 821–828. 10.1016/j.jcs.2008.06.008 [DOI] [Google Scholar]
  52. Uauy C., Distelfeld A., Fahima T., Blechl A., Dubcovsky J. (2006). A NAC gene regulating senescence improves grain protein, zinc, and iron content in wheat. Science 314, 1298–1301. 10.1126/science.1133649 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. United Nations International Children's Emergency Fund (2012). Report–Pneumonia and Diarrhoea: Tackling the Deadliest Diseases for the World's Poorest Children. New York, NY: UNICEF; 77. [Google Scholar]
  54. Velu G., Ortiz-Monasterio I., Cakmak I., Hao Y., Singh R. P. (2014). Biofortification strategies to increase grain zinc and iron concentrations in wheat. J. Cereal Sci. 59, 365–372. 10.1016/j.jcs.2013.09.001 [DOI] [Google Scholar]
  55. Walkley A., Black I. A. (1934). An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci. 37, 29–38. 10.1097/00010694-193401000-00003 [DOI] [Google Scholar]
  56. Wang J. W., Mao H., Zhao H. B., Huang D. L., Wang Z. H. (2012). Different increases in maize and wheat grain zinc concentrations caused by soil and foliar applications of zinc in Loess Plateau, China. Field Crops Res. 135, 89–96. 10.1016/j.fcr.2012.07.010 [DOI] [Google Scholar]
  57. Welch R. M., Graham R. D. (2002). Breeding crops for enhanced micronutrient content. Plant Soil 245, 205–214. 10.1023/A:1020668100330 [DOI] [Google Scholar]
  58. Welch R. M., Graham R. D. (2004). Breeding for micronutrients in staple food crops from a human nutrition perspective. J. Exp. Bot. 55, 353–364. 10.1093/jxb/erh064 [DOI] [PubMed] [Google Scholar]
  59. White P. J., Broadley M. R. (2009). Biofortification of crops with seven mineral elements often lacking in human diets – iron, zinc, copper, calcium, magnesium, selenium and iodine. New Phytol. 182, 49–84. 10.1111/j.1469-8137.2008.02738.x [DOI] [PubMed] [Google Scholar]
  60. World Health Organization (1996). Trace Elements in Human Nutrition and Health. Geneva: WHO. [Google Scholar]
  61. Xue Y. F., Eagling T., He J. B., Zou C. Q., McGrath S. P., Shewry P. R., et al. (2014a). Effects of nitrogen on the distribution and chemical speciation of iron and zinc in pearling fractions of wheat grain. J. Agric. Food Chem. 62, 4738–4746. 10.1021/jf500273x [DOI] [PubMed] [Google Scholar]
  62. Xue Y. F., Yue S. C., Zhang Y. Q., Cui Z. L., Chen X. P., Yang F. C., et al. (2012). Grain and shoot zinc accumulation in winter wheat affected by nitrogen management. Plant Soil 361, 153–163. 10.1007/s11104-012-1510-2 [DOI] [Google Scholar]
  63. Xue Y. F., Zhang W., Liu D. Y., Yue S. C., Cui Z. L., Chen X. P., et al. (2014b). Effects of nitrogen management on root morphology and zinc translocation from root to shoot of winter wheat in the field. Field Crops Res. 161, 38–45. 10.1016/j.fcr.2014.01.009 [DOI] [Google Scholar]
  64. Zhang Y. H., Zhang Y. P., Liu N., Su D., Xue Q. W., Stewart B. A., et al. (2012a). Effect of source-sink manipulation on accumulation of micronutrients and protein in wheat grains. J. Plant Nutr. Soil Sci. 175, 622–629. 10.1002/jpln.201100224 [DOI] [Google Scholar]
  65. Zhang Y. Q., Shi R. L., Rezaul K. M., Zhang F. S., Zou C. Q. (2010). Iron and zinc concentrations in grain and flour of winter wheat as affected by foliar application. J. Agric. Food Chem. 58, 12268–12274. 10.1021/jf103039k [DOI] [PubMed] [Google Scholar]
  66. Zhang Y. Q., Sun Y. X., Ye Y. L., Rezaul K. M., Xue Y. F., Yan P., et al. (2012b). Zinc biofortification of wheat through fertilizer applications in different locations of China. Field Crops Res. 125, 1–7. 10.1016/j.fcr.2011.08.003 [DOI] [Google Scholar]
  67. Zhao A. Q., Tian X. H., Cao Y. X., Lu X. C., Liu T. (2014). Comparison of soil and foliar zinc application for enhancing grain zinc content of wheat when grown on potentially zinc-deficient calcareous soils. J. Sci. Food Agric. 94, 2016–2022. 10.1002/jsfa.6518 [DOI] [PubMed] [Google Scholar]
  68. Zhao F. J., Su Y. H., Dunham S. J., Rakszegi M., Bedo Z., McGrath S. P., et al. (2009). Variation in mineral micronutrient concentrations in grain of wheat lines of diverse origin. J. Cereal Sci. 49, 290–295. 10.1016/j.jcs.2008.11.007 [DOI] [Google Scholar]
  69. Zou C. Q., Zhang Y. Q., Rashid A., Ram H., Savasli E., Arisoy R. Z., et al. (2012). Biofortification of wheat with zinc through zinc fertilization in seven countries. Plant Soil 361, 119–130. 10.1007/s11104-012-1369-2 [DOI] [Google Scholar]

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