Literature DB >> 29881394

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

Haiyong Xia1,2,3, Yanfang Xue4, Dunyi Liu5, Weilin Kong1, Yanhui Xue1, Yanyan Tang6, Jin Li6, Dong Li6, Peipei Mei6.   

Abstract

To alleviate n class="Chemical">paclass="Chemical">n class="Species">humaclass="Chemical">nclass="Chemical">n> zinc (class="Chemical">pan>n class="Chemical">Zn) deficiency, it is worthy to develop rational agronomic managements to achieve high yielding and high resource-use efficiency class="Chemical">pan class="Species">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.

Entities:  

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

Year:  2018        PMID: 29881394      PMCID: PMC5978247          DOI: 10.3389/fpls.2018.00677

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


Introduction

Zinc (n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n>) is an essential micronutrient for the survival of plants, animals and class="Chemical">pan>n class="Species">human beings. class="Chemical">pan class="Disease">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 n class="Chemical">paclass="Chemical">n class="Disease">iclass="Chemical">nsufficieclass="Chemical">ntclass="Chemical">n> dietary class="Chemical">pan>n class="Chemical">Zn intake are responsible for class="Chemical">pan class="Disease">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) 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. n class="Chemical">paclass="Chemical">n class="Chemical">Haclass="Chemical">n>rvesting class="Chemical">pan>n class="Species">wheat with a higher concentration of class="Chemical">pan class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Chemical">carbohydrateclass="Chemical">n> or class="Chemical">pan>n class="Chemical">sucrose status of the plant can influence the transport of class="Chemical">pan class="Chemical">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. Difn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rent class="Chemical">pan>n class="Species">wheat cultivars difclass="Chemical">pan class="Chemical">fer 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 efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of soil class="Chemical">pan>n class="Chemical">fertilizer N and foliar class="Chemical">pan class="Chemical">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°class="Chemical">N, 117.5°E), Sclass="Chemical">n class="Chemical">pan class="Chemical">handong Academy of Agricultural Sciences, China. The area paclass="Chemical">n>n class="Chemical">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 class="Chemical">N applicatioclass="Chemical">n rates (maiclass="Chemical">n plot) iclass="Chemical">n four replicates. The class="Chemical">n class="Chemical">N application rates were 75, 200, and 275 kg of N pan class="Chemical">ha−1, respectively. The four winter n>n class="Species">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 n class="Chemical">paclass="Chemical">n class="Chemical">haclass="Chemical">n>lf amount of each N application rate (supplied as class="Chemical">pan>n class="Chemical">urea), and all of the P class="Chemical">pan class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Species">wheatclass="Chemical">n> spikes aboveground in the center of each split-split plot subjected to foliar spraying treatments was removed by class="Chemical">pan>n class="Chemical">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 seclass="Chemical">parated 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 n class="Chemical">paclass="Chemical">n class="Chemical">waterclass="Chemical">n>, 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 class="Chemical">pan>n class="Chemical">HNO3-class="Chemical">pan class="Chemical">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 class="Chemical">PA/class="Chemical">n class="Chemical">pan class="Chemical">Zn paclass="Chemical">n>n class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Species">humaclass="Chemical">nclass="Chemical">n> body regulates class="Chemical">pan>n class="Chemical">Zn homeostasis through class="Chemical">pan class="Disease">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): where n class="Chemical">paclass="Chemical">n class="Chemical">TAZclass="Chemical">n> (total daily absorbed class="Chemical">pan>n class="Chemical">Zn, mg class="Chemical">pan class="Chemical">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); K = 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 Aclass="Chemical">NOVA usiclass="Chemical">ng SAS software (SAS 8.0, SAS Iclass="Chemical">nstitute, Cary, class="Chemical">n class="Chemical">North Carolina, USA) and means were compared by Fisher's protected least significant difpan class="Chemical">ference (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 class="Chemical">N applicatioclass="Chemical">n rate from 75 to 200 kg class="Chemical">n class="Chemical">pan class="Chemical">ha−1 and from 200 to 275 kg paclass="Chemical">n>n class="Chemical">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.

TreatmentsGrain yield (kg ha−1)Spike number (104 ha−1)Kernel number per spike1,000 kernel weight (g)
N APPLICATION RATE (N)
75 kg ha−17719.7a449.1a36.5a44.7b
200 kg ha−17419.1ab424.9b35.1a45.6a
275 kg ha−17226.6b415.5b34.2a45.0ab
LSD0.05393.221.73.30.9
CULTIVAR (C)
Jinan 177417.1ab503.2a32.5b41.5d
Jimai 207627.3a460.5b33.2b44.3c
Jimai 227703.0a410.6c35.1b45.7b
Luyuan 5027073.3b345.2d40.2a48.9a
LSD0.05453.925.13.81.0
FOLIAR APPLICATION (F)
Deionized water7460.7a432.8a34.3a45.4a
ZnSO4·7H2O7385.5a426.7a35.1a44.7a
ZnSO4·7H2O + Sucrose7519.3a430.1a36.4a45.2a
LSD0.05393.221.73.30.9
ANOVA
N0.04730.00830.38550.1103
C0.0326<0.00010.0004<0.0001
F0.79580.85210.43390.3554
N × C0.46000.18590.52670.1208
N × F0.44830.66470.52600.4414
C × F0.97600.94840.38900.4880
N × C × F0.75220.97720.62430.4753

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.

Efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of class="Chemical">pan>n class="Chemical">nitrogen and foliar applications on grain yields and yield components of difclass="Chemical">pan class="Chemical">ferent wheat cultivars. Values followed by difn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rent lowercase letters in the same column are significantly difclass="Chemical">pan>n class="Chemical">ferent 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 class="Chemical">N applicatioclass="Chemical">n (200 kg class="Chemical">n class="Chemical">N pan class="Chemical">ha−1) significantly increased grain n>n class="Chemical">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.

TreatmentsZn concentrations (mg kg−1)Zn yields (g ha−1)TAZ (mg d−1)PA/ZnPA × Ca/Zn
N APPLICATION RATE (N)
75 kg ha−147.5c367.8ab1.6b18.5a203.4a
200 kg ha−152.2a383.9a1.8a16.7b188.3b
275 kg ha−149.6b357.6b1.8a16.6b189.3b
LSD0.051.619.00.10.811.4
CULTIVAR (C)
Jinan 1750.4b374.1a2.0a14.7c140.1c
Jimai 2047.0c358.5a1.7b17.0b194.5b
Jimai 2248.9b376.4a1.4c20.7a249.1a
Luyuan 50252.9a370.1a1.8b16.7b190.9b
LSD0.051.822.00.11.013.1
FOLIAR APPLICATION (F)
Deionized water40.9c303.7c1.4c20.8a234.2a
ZnSO4·7H2O52.0b382.0b1.8b16.0b178.1b
ZnSO4·7H2O + Sucrose56.5a423.7a2.0a15.1c168.6b
LSD0.051.619.00.10.811.4
ANOVA
N<0.00010.02510.0018<.00010.0153
C<0.00010.3819<0.0001<0.0001<0.0001
F<0.0001<0.0001<0.0001<0.0001<0.0001
N × C0.06280.03150.91320.37850.1442
N × F0.76960.15960.20930.00670.1459
C × F0.69650.73370.01090.0002<0.0001
N × C × F0.71360.91960.42340.53870.7733

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.

Efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of class="Chemical">pan>n class="Chemical">nitrogen and foliar applications on class="Chemical">pan class="Chemical">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. Values followed by difn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rent lowercase letters in the same column are significantly difclass="Chemical">pan>n class="Chemical">ferent among treatments at P ≤ 0.05. Values under ANOVA are probabilities (P values) of the source of variation. n class="Chemical">paclass="Chemical">n class="Species">Wheatclass="Chemical">n> cultivars greatly difclass="Chemical">pan>n class="Chemical">fered in grain class="Chemical">pan class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n>-biofortified treatments, the grain class="Chemical">pan>n class="Chemical">Zn concentration and class="Chemical">pan class="Chemical">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 Aclass="Chemical">NOVA iclass="Chemical">ndicates, there are some sigclass="Chemical">nificaclass="Chemical">nt iclass="Chemical">nteractioclass="Chemical">ns betweeclass="Chemical">n treatmeclass="Chemical">nts of class="Chemical">n class="Chemical">N applications and cultivars, between N and foliar applications, and between cultivars and foliar applications (Tables 2, 3). N applications × cultivars interaction significantly afpan class="Chemical">fected grain n>n class="Chemical">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)CultivarZn concentrations (mg kg−1)Zn yields (g ha−1)TAZ (mg d−1)PA/ZnPA × Ca/Zn
DWaZnbZn + ScDWZnZn + SDWZnZn + SDWZnZn + SDWZnZn + S
75Jinan 1739.3DEFc49.2CDb56.7ABCDa289.0ABCc384.0ABCb441.9Aa1.6BCDb1.8ABCb2.3ABa18.2DEFa15.7BCa12.4Cb173.5FGa153.3CDab109.7Db
Jimai 2038.7EFGb49.5CDa52.4BCDa263.9BCb423.8Aa440.8Aa1.2EFb1.7BCDa1.9BCDa23.8Ba17.0ABb15.4Bb270.5ABCa202.8ABb175.9Bb
Jimai 2235.7FGb48.3Da52.2CDa288.5ABCb370.4ABCa418.5ABa1.0Fb1.5Da1.5Da27.7Aa19.0Ab19.6Ab303.1Aba215.9Ab228.4Ab
Luyuan 50238.6EFGc51.2BCDb58.7ABCa285.6ABCc368.7ABCb438.1Aa1.3DEFc1.6CDb2.2ABa22.5BCa18.1Ab13.1BCc255.2BCDa201.1ABb151.2BCc
200Jinan 1743.3BCDc54.6Bb59.4ABCa322.9ABCb399.3Aba453.3Aa1.9Ab2.1Aab2.2ABa15.3Fa13.7Cab12.9BCb147.5Ga128.9Dab121.6Db
Jimai 2040.3CDEc50.8BCDb56.9ABCDa336.1Ab381.4ABCab431.8Aa1.5BCDEb1.7BCDab2.0ABCa19.1CDEa16.6ABab14.2BCb224.4CDEFa195.5ABa157.2Bb
Jimai 2243.8ABCb53.3BCa55.8ABCDa332.7ABb405.4Aba447.2Aa1.2EFb1.7BCDa1.5Dab23.9Ba17.3ABb19.9Ab305.8ABa202.4ABc235.6Ab
Luyuan 50247.7Ab60.0Aa60.9Aa317.7ABCb380.8ABCa398.4ABa1.5BCDEb2.1Aa2.0ABCa19.4CDEa13.7Cb14.0BCb216.1DEFa158.0CDb166.7Bb
275Jinan 1740.0CDEFb51.8BCDa59.7ABa296.4ABCb352.9BCab426.8ABa1.7ABa1.9ABa2.5Aa16.7EFa15.0BCa12.3Ca156.9Ga145.6CDa123.9CDa
Jimai 2034.9Gb48.5Da50.5Da257.1Cb340.4Ca351.0Ba1.6BCc1.9ABb2.1ABa18.1DEFa15.2BCb13.3BCb199.8EFGa171.0BCab153.4Bb
Jimai 2242.9BCDEc51.7BCDb56.3ABCDa312.2ABCb400.7ABa412.1ABa1.2EFb1.7BCDa1.6CDa24.1ABa16.6ABb18.2Ab310.2Aa204.8ABb235.8Ab
Luyuan 50245.8ABb54.6Ba58.4ABCa342.0Ab375.8ABCab424.1ABa1.4CDEb2.1Aa1.9BCDa20.8BCDa13.6Cb15.3Bb247.8CDEa157.6CDb164.2Bb

Deionized water (DW).

ZnSO.

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.

Efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of class="Chemical">pan>n class="Chemical">nitrogen and foliar applications on class="Chemical">pan class="Chemical">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. Deionized n class="Chemical">paclass="Chemical">n class="Chemical">waterclass="Chemical">n> (DW). n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n>SO. n class="Chemical">paclass="Chemical">n class="Chemical">Sucroseclass="Chemical">n> (S). Values followed by difclass="Chemical">pan>n class="Chemical">ferent capital letters in the same column are significantly difclass="Chemical">pan class="Chemical">ferent 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 class="Chemical">N applicatioclass="Chemical">n rate of 200 kg class="Chemical">n class="Chemical">pan class="Chemical">ha−1 was adequate to maintain high grain paclass="Chemical">n>n class="Chemical">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

Comclass="Chemical">pared to the coclass="Chemical">ntrol treatmeclass="Chemical">nt of low class="Chemical">n class="Chemical">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 pan class="Chemical">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.

TreatmentsProtein concentration (%)Carbon concentration (%)C/NPhytate-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−113.3b42.7a18.2a2.44ab3.64a67.9a436.5a
200 kg ha−113.7a42.8a17.6b2.45a3.86a64.3a447.2a
275 kg ha−113.7a42.8a17.7b2.32b3.63a65.3a449.7a
LSD0.050.20.20.20.120.244.6114.1
CULTIVAR (C)
Jinan 1713.5b43.0a18.0a2.07d3.33b63.5b379.9c
Jimai 2013.7ab42.7b17.6b2.23c3.51b64.9b458.7b
Jimai 2213.8a42.7b17.5b2.84a4.01a71.5a482.5a
Luyuan 50213.2c42.7b18.2a2.46b4.00a63.3b456.6b
LSD0.050.20.20.20.140.285.3216.2
FOLIAR APPLICATION (F)
Deionized water13.5b42.8ab17.9a2.43a3.91a63.3a445.0a
ZnSO4·7H2O13.5b42.9a17.8ab2.37a3.61b66.7a444.8a
ZnSO4·7H2O + Sucrose13.7a42.7b17.7b2.41a3.61b67.5a443.6a
LSD0.050.20.20.20.120.244.6114.1
ANOVA
N<0.00010.3318<0.00010.07400.11170.29400.1471
C<0.00010.0464<0.0001<0.0001<0.00010.0077<0.0001
F0.01520.11160.06160.57770.02510.16560.9791
N × C0.40350.58170.02120.03880.70930.27010.0726
N × F0.79600.57430.96200.36950.10060.10080.8347
C × F0.41110.96880.96130.00190.23550.41480.8327
N × C × F0.24480.24700.91870.39030.88910.64400.8327

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.

Efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of class="Chemical">pan>n class="Chemical">nitrogen and foliar applications on grain class="Chemical">pan class="Chemical">Zn nutritional quality related traits of different wheat cultivars. Values followed by difn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rent lowercase letters in the same column are significantly difclass="Chemical">pan>n class="Chemical">ferent among treatments at P ≤ 0.05. Values under ANOVA are probabilities (P values) of the source of variation. Analysis of variance revealed significant efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of class="Chemical">pan>n class="Species">wheat cultivars on grain concentrations of protein (13.2–13.8%), C (42.7–43.0%), class="Chemical">pan class="Chemical">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). Comclass="Chemical">pared with the coclass="Chemical">ntrol, foliar class="Chemical">n class="Chemical">pan class="Chemical">Zn or “paclass="Chemical">n>n class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rtilizer N applications × cultivars significantly afclass="Chemical">pan>n class="Chemical">fected C/N ratios (Tables 4, 5). C/N ratios of “Luyuan 502” were significantly higher tclass="Chemical">pan class="Chemical">han 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)CultivarC/NPhytate-P concentration (g kg−1)
DWaZnbZn + ScDWZnZn + S
75Jinan 1718.1Ba18.3ABa18.0ABa2.04DEa2.21BCa1.99Ea
Jimai 2018.0BCa17.5CDa17.8BCDa2.63ABCa2.41ABCa2.30CDEa
Jimai 2218.0BCa17.9BCa17.7BCDa2.83ABa2.62ABa2.93ABa
Luyuan 50218.9Aab19.0Aa18.6Ab2.48BCDab2.64ABa2.20CDEb
200Jinan 1718.1Ba17.8BCDb17.8BCDb1.89Eb2.14Ca2.19CDEa
Jimai 2017.7BCa17.6BCDa17.3DEa2.21CDEa2.41ABCa2.30CDEa
Jimai 2217.3Ca17.4CDa17.4CDEa2.99Aa2.65Aa3.13Aa
Luyuan 50217.9BCa17.5CDa17.7BCDa2.63ABCa2.38ABCa2.44CDa
275Jinan 1718.1Ba18.1BCa17.7BCDb1.91Ea2.24ABCa2.04DEa
Jimai 2017.8BCa17.6CDa17.5BCDEa1.81Eb2.11Ca1.93Eab
Jimai 2217.2Ca17.2Da17.1Ea2.96Aa2.46ABCa2.95ABa
Luyuan 50218.3ABa18.0BCa17.9BCa2.74ABa2.12Ca2.55BCa

Deionized water (DW).

ZnSO.

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.

Efn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>cts of class="Chemical">pan>n class="Chemical">nitrogen and foliar applications on C/N ratios and class="Chemical">pan class="Chemical">phytate-P concentrations in grains of different wheat cultivars. Deionized n class="Chemical">paclass="Chemical">n class="Chemical">waterclass="Chemical">n> (DW). n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n>SO. n class="Chemical">paclass="Chemical">n class="Chemical">Sucroseclass="Chemical">n> (S). Values followed by difclass="Chemical">pan>n class="Chemical">ferent capital letters in the same column are significantly difclass="Chemical">pan class="Chemical">ferent 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 class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n> concentrations were positively correlated with class="Chemical">parameters of pan class="Chemical">TAZ, 1,000 kernel weights, class="Chemical">Zn yields, and protein concentrations, but negatively correlated with spike numbers, grain yields, C/N ratios, and molar ratios of PA/class="Chemical">pan class="Chemical">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).

ParametersTAZSNKNPS1000 KWYZnYCCPCC/NPA-PTPPA-P/TPCaCPA/ZnPA × Ca/Zn
ZnC0.633***−0.249**ns0.171*−0.179*0.729***ns0.242**−0.315***nsnsnsns−0.634***−0.478***
TAZ-nsns−0.231**ns0.498***nsnsns−0.680***−0.247**−0.415***−0.351***−0.929***−0.867***
SN--−0.233**−0.628***0.579***0.213**0.177*ns0.212*−0.339***−0.318***ns−0.386***ns−0.207*
KNPS---0.266***nsnsns−0.212*nsnsnsns0.166*nsns
1,000 KW----nsns−0.199*nsns0.443***0.367***ns0.454***0.216**0.339***
Y-----0.530***nsns0.237**nsnsnsnsnsns
ZnY------nsnsnsnsnsnsns−0.508***−0.378***
CC-------nsns−0.193*nsnsnsnsns
PC--------−0.621***nsnsnsnsnsns
C/N---------−0.269***nsns−0.303***nsns
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,

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

Pearson correlation coefficients among grain zinc concentration (n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n>C), total daily absorbed class="Chemical">pan>n class="Chemical">Zn (class="Chemical">pan class="Chemical">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). “-” indicates no this value, 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 class="Chemical">PA/class="Chemical">n class="Chemical">pan class="Chemical">Zn and PA × Ca/paclass="Chemical">n>n class="Chemical">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

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.

Relationships between total daily absorbed n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n> (class="Chemical">pan>n class="Chemical">TAZ, mg d−1) and molar ratios of class="Chemical">pan class="Chemical">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, n class="Chemical">paclass="Chemical">n class="Chemical">phytate-Pclass="Chemical">n>, total P, Ca concentrations, or molar ratios of PA × Ca/class="Chemical">pan>n class="Chemical">Zn; however, correlations between spike numbers and grain yields, class="Chemical">pan class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n> yields and C/N ratios, and class="Chemical">pan>n class="Chemical">Zn yields were negatively correlated with molar ratios of PA/class="Chemical">pan class="Chemical">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 n class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rtilizer (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 class="Chemical">pan>n class="Species">wheat production (Chen et al., 2011, 2017), and our research showed tclass="Chemical">pan class="Chemical">hat 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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">n sprayclass="Chemical">n>ing with or without class="Chemical">pan>n class="Chemical">sucrose did not afclass="Chemical">pan class="Chemical">fect 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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n> supply alone significantly increased grain class="Chemical">pan>n class="Chemical">Zn accumulation (Cakmak et al., 2010a; Wang et al., 2012; Zclass="Chemical">pan class="Chemical">hang 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 synergisticn class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">n + sucroseclass="Chemical">n>” foliar spray increased grain class="Chemical">pan>n class="Chemical">Zn concentration, content, and bioavailability more so tclass="Chemical">pan class="Chemical">han 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 tn class="Chemical">paclass="Chemical">n class="Chemical">haclass="Chemical">n>t there is a contradiction between grain yield and nutrition quality in crop breeding. For example, although the low class="Chemical">pan>n class="Chemical">phytate class="Chemical">pan class="Species">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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n> concentrations in grains of class="Chemical">pan>n class="Species">wheat varied from 18.79 to 23.11 mg kg−1 in the control treatment of soil containing 0.78 mg kg−1 class="Chemical">pan class="Chemical">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. Difn class="Chemical">paclass="Chemical">n class="Chemical">feclass="Chemical">n>rent organizations or scientists class="Chemical">pan>n class="Chemical">have set difclass="Chemical">pan class="Chemical">ferent 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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">n sprayclass="Chemical">n>ing was more efclass="Chemical">pan>n class="Chemical">fective tclass="Chemical">pan class="Chemical">han 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 n class="Chemical">paclass="Chemical">n class="Chemical">Zclass="Chemical">nclass="Chemical">n> nutritional quality while ensuring high yields and protecting the envclass="Chemical">pan>n class="Chemical">ironment. At least three factors above should be managed in coordination in class="Chemical">pan class="Species">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, enn class="Chemical">paclass="Chemical">n class="Chemical">haclass="Chemical">n>nced N application rate increased both the class="Chemical">pan>n class="Chemical">Zn concentration and bioavailability in whole class="Chemical">pan class="Species">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 n class="Chemical">paper.

Conflict of interest statement

The authors declare tn class="Chemical">paclass="Chemical">n class="Chemical">haclass="Chemical">n>t the research was conducted in the absence of any commercial or financial relationships tclass="Chemical">pan>n class="Chemical">hat could be construed as a potential conflict of interest.
  24 in total

1.  Effect of supplemental zinc on the growth and serum zinc concentrations of prepubertal children: a meta-analysis of randomized controlled trials.

Authors:  Kenneth H Brown; Janet M Peerson; Juan Rivera; Lindsay H Allen
Journal:  Am J Clin Nutr       Date:  2002-06       Impact factor: 7.045

2.  Zinc bioavailability and homeostasis.

Authors:  K Michael Hambidge; Leland V Miller; Jamie E Westcott; Xiaoyang Sheng; Nancy F Krebs
Journal:  Am J Clin Nutr       Date:  2010-03-03       Impact factor: 7.045

3.  Integrated soil-crop system management for food security.

Authors:  Xin-Ping Chen; Zhen-Ling Cui; Peter M Vitousek; Kenneth G Cassman; Pamela A Matson; Jin-Shun Bai; Qing-Feng Meng; Peng Hou; Shan-Chao Yue; Volker Römheld; Fu-Suo Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-28       Impact factor: 11.205

Review 4.  Physico-chemical properties of plant cuticles and their functional and ecological significance.

Authors:  Victoria Fernández; Hector A Bahamonde; José Javier Peguero-Pina; Eustaquio Gil-Pelegrín; Domingo Sancho-Knapik; Luis Gil; Heiner E Goldbach; Thomas Eichert
Journal:  J Exp Bot       Date:  2017-11-09       Impact factor: 6.992

5.  Phytate:zinc and phytate X calcium:zinc millimolar ratios in self-selected diets of Americans, Asian Indians, and Nepalese.

Authors:  R Ellis; J L Kelsay; R D Reynolds; E R Morris; P B Moser; C W Frazier
Journal:  J Am Diet Assoc       Date:  1987-08

Review 6.  Breeding for micronutrients in staple food crops from a human nutrition perspective.

Authors:  Ross M Welch; Robin D Graham
Journal:  J Exp Bot       Date:  2004-02       Impact factor: 6.992

7.  Improved nitrogen nutrition enhances root uptake, root-to-shoot translocation and remobilization of zinc ((65) Zn) in wheat.

Authors:  Emin Bulent Erenoglu; Umit Baris Kutman; Yasemin Ceylan; Bahar Yildiz; Ismail Cakmak
Journal:  New Phytol       Date:  2010-10-01       Impact factor: 10.151

8.  Comparison of soil and foliar zinc application for enhancing grain zinc content of wheat when grown on potentially zinc-deficient calcareous soils.

Authors:  Ai-qing Zhao; Xiao-hong Tian; Yu-xian Cao; Xin-chun Lu; Ting Liu
Journal:  J Sci Food Agric       Date:  2014-01-13       Impact factor: 3.638

9.  Agronomic Approach of Zinc Biofortification Can Increase Zinc Bioavailability in Wheat Flour and thereby Reduce Zinc Deficiency in Humans.

Authors:  Dunyi Liu; Yumin Liu; Wei Zhang; Xinping Chen; Chunqin Zou
Journal:  Nutrients       Date:  2017-05-06       Impact factor: 5.717

Review 10.  Iron and zinc nutrition in the economically-developed world: a review.

Authors:  Karen H C Lim; Lynn J Riddell; Caryl A Nowson; Alison O Booth; Ewa A Szymlek-Gay
Journal:  Nutrients       Date:  2013-08-13       Impact factor: 5.717

View more
  4 in total

1.  Genetic mechanisms of salt stress responses in halophytes.

Authors:  Cunxian Fan
Journal:  Plant Signal Behav       Date:  2019-12-22

2.  Dynamic Zinc Accumulation and Contributions of Pre- and/or Post-Silking Zinc Uptake to Grain Zinc of Maize as Affected by Nitrogen Supply.

Authors:  Yan-Fang Xue; Shan-Chao Yue; Dun-Yi Liu; Wei Zhang; Xin-Ping Chen; Chun-Qin Zou
Journal:  Front Plant Sci       Date:  2019-10-03       Impact factor: 5.753

3.  Biostimulant Effects of Glutacetine® and Its Derived Formulations Mixed With N Fertilizer on Post-heading N Uptake and Remobilization, Seed Yield, and Grain Quality in Winter Wheat.

Authors:  Victor Maignan; Benoit Bernay; Patrick Géliot; Jean-Christophe Avice
Journal:  Front Plant Sci       Date:  2020-11-13       Impact factor: 5.753

4.  Source-Sink Manipulation Affects Accumulation of Zinc and Other Nutrient Elements in Wheat Grains.

Authors:  Lan Wang; Haiyong Xia; Xiaojing Li; Yuetong Qiao; Yanhui Xue; Xilong Jiang; Wei Yan; Yumin Liu; Yanfang Xue; Lingan Kong
Journal:  Plants (Basel)       Date:  2021-05-20
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.