Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Enhancements in yield, agronomic, and zinc recovery efficiencies of rice-wheat system through bioactive zinc coated urea application in Aridisols

  • Syed Shahid Hussain Shah,

    Roles Conceptualization, Supervision

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Muhammad Azhar ,

    Roles Data curation, Methodology, Validation, Visualization, Writing – original draft

    azharuaf509@gmail.com, mazhar@engro.com

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Faisal Nadeem,

    Roles Software, Writing – review & editing

    Affiliation Department of Soil Science, University of the Punjab, Lahore, Pakistan

  • Muhammad Asif Ali,

    Roles Conceptualization, Project administration, Resources

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Muhammad Naeem Khan,

    Roles Validation, Writing – review & editing

    Affiliation Directorate General Soil Survey of Punjab, Agriculture Department, Lahore, Pakistan

  • Ijaz Ahmad,

    Roles Formal analysis

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Muhammad Yasir Khurshid,

    Roles Data curation, Investigation, Methodology, Visualization

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Muhammad Hasnain,

    Roles Data curation, Investigation, Validation, Visualization

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Zeeshan Ali,

    Roles Data curation, Investigation, Validation, Visualization

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

  • Ahmad Abu Al-Ala Shaheen

    Roles Investigation, Visualization

    Affiliation Department of Agronomy, Engro Fertilizers Ltd., Lahore, Pakistan

Abstract

Background

Zinc (Zn) deficiency and source-dependent Zn fertilization to achieve optimum Zn levels in rice and wheat grains remain global concern for human nutrition, especially in developing countries. To-date, little is known about the effectiveness of bioactive Zn-coated urea (BAZU) to enhance the concentration, uptake, and recovery of Zn in relation to agronomic efficiency in paddy and wheat grains.

Results

Field experiments were carried out during 2020–21 on the rice-wheat system at Lahore, Faisalabad, Sahiwal, and Multan, Punjab, Pakistan using four treatments viz.T1 (Urea 46% N @ 185 kg ha-1 + zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 103 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.03 kg ha-1) and T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1) in quadruplicate under Randomized Complete Block Design. Paddy yield was increased by 13, 11, 12, and 11% whereas wheat grain yield was enhanced by 12, 11, 11, and 10% under T4 at Multan, Faisalabad, Sahiwal, and Lahore, respectively, compared to T1. Similarly, paddy Zn concentration was increased by 58, 67, 65 and 77% (32.4, 30.7, 31.1, and 34.1 mg kg-1) in rice whereas grain Zn concentration was increased by 90, 87, 96 and 97% (46.2, 43.9, 46.7 and 44.9 mg kg-1) in wheat by the application of BAZU (T4) at Multan, Faisalabad, Sahiwal, and Lahore, respectively, in comparison to T1. Zinc recovery was about 9-fold and 11-fold higher in paddy and wheat grains, respectively, under BAZU (T4) treatment relative to T2 while, the agronomic efficiency was enhanced up to 130% and 141% in rice and wheat respectively as compared to T2.

Conclusion

Thus, T4 application at the rate of 125 kg ha-1 could prove effective in enhancing the rice paddy and wheat grain yield along with their Zn biofortification (∼34 mg kg-1 and ∼47 mg kg-1, respectively) through increased agronomic and Zn recovery efficiencies, the underlying physiological and molecular mechanisms of which can be further explored in future.

Introduction

Zinc (Zn) is a vital micronutrient and its deficiency in food crops and malnutrition problem in humans are continuously increasing in developing countries including Pakistan [1, 2]. The Zn deficiency in humans is mainly responsible for immunity dysfunction, pregnancy complications, impair healthy growth of babies, and vulnerability to other diseases [3, 4]. Up to 22% of Pakistanis are prone to Zn malnutrition [5, 6]. Children, pregnant and breastfeeding women need higher Zn and are more prone to its malnutrition. The daily Zn requirement of an adult ranges from 8–11 mg while pregnant/lactating women need 11–13 mg of Zn per day [7]. About 10% (estimated as three thousand proteins) of human body proteins are Zn-dependent [8, 9]. Cereal crops such as wheat, rice, and maize are major staple foods worldwide, and more than half of the global population is dependent on wheat [10] and rice [11] for their daily dietary intake. More than 60% of the total Zn requirement, for the human body, has been achieved through cereal staple foods in South Asian countries including Pakistan [12, 13]. Higher consumption of these cereal crops having lower bioavailable Zn content is a major reason for malnutrition [2, 6]. Currently, the cultivars of cereals are unable to meet nutritional requirements due to their lesser inherited Zn concentration and more than 50% of global soils used for wheat cultivation are deficient in phyto-available Zn [2]. Zn deficiency prevails in about three billion people in the world and results in loss of about half million lives annually [14]. More than 4% of the worldwide mortality and morbidity in children under five and 16 million of the global disability-adjusted life years are caused by Zn deficiency [15, 16]. Deficiencies of Zn and other micronutrients in developing countries are also reported to cause great economic losses and have a considerable effect on the gross national product by decreasing productivity and increasing the health care costs [17, 18].

Although a majority of crop plants are vulnerable to Zn deficiency, rice is more sensitive as compared to other crops [1921] because Zn is directly or indirectly responsible to activate enzymes, protein formation, metabolism of nucleic acid, and starch involved in pollination [2, 22, 23]. Zn is involved in photosynthesis, sugar transformation [24], flowering, and grain formation [25]. Zn deficiency affects fertilization in plants by altering stigma and pollen grains functioning and by affecting pollen viability [26]. Application of ZnSO4 and Zn enriched urea increases grain yield in wheat [2729] and rice [28, 30]. Paddy yield, Zn recovery, and agronomic efficiencies are improved by the application of Zn [31]. The availability of Zn is affected by several soil factors including pH, redox potential, and soil solution concentration of Zn, P, Mn, and Fe [3234]. For example, Zn precipitates as zinc sulfide (ZnS) in flooded, zinc hydroxide [35] in basic, and as zinc carbonate (ZnCO3) in calcium carbonate-dominated soils [36], which minimizes phyto-availability of Zn [21, 37]. Magnesium to calcium ratio, bicarbonate, and organic matter are other soil properties affecting Zn phyto-availability [3840].

Several options are under experimentation to attain the required Zn levels in grains of staple food crops. Among these, agronomic fortification of cereal grains is a cost-effective and viable option to enhance grain Zn levels and to minimize Zn-oriented nutritional complications, especially in Asian countries including Pakistan that are dependent on staple foods [6, 31]. Grain fortification can be done through two approaches i.e. breeding [4143] and Zn-fertilization [31]. The second approach is economical and easily applicable to improve grain Zn contents [41, 42]. There are few studies on the benefits of Zn-biofortification [31]. Previous study has reported the nutrient delivery in wheat through the application of dual-capped Zn-urea nano-fertilizers [44]. However, no study is reported to compare rice paddy/wheat grain Zn concentration and recovery between bioactive zinc coated urea, produced through Bioactive Nutrient Fortified Fertilizer (BNFF)© patent process [45], and ZnSO4.

The BAZU is a synergetic hybrid of urea, Bioactive Zinc (BAZ)© and Bioactive Coating (BAC)©; a consortium of Zn and other nutrients solubilizing and mobilizing bacteria. BAZ© is organically encapsulates Zn that is less prone to fixation, sandwiching, and trapping in soil structure. BAZ© is gradually released in the rhizosphere as per plant demand that supports an uninterrupted and continuous supply of Zn during the crop cycle. In addition, BAC© enhances root growth, mobilizes other nutrients present in the rhizosphere, and triggers induced systemic resistance of plants to withstand stress conditions. Coating covers of BAZ© and BAC© encapsulate urea prills, induce a slow N release mechanism, contribute to reducing N losses and enhance N use efficiency. Collectively, BAZU is revolutionary fertilizer suitable for all types of soils, climates, and crops [45].

Bioactive Zn-coated urea is an emerging novel approach for the grain Zn fortification not tested to compare rice paddy/wheat grain for Zn concentration, Zn recovery, and agronomic efficiencies. Therefore, this study hypothesized whether BAZU can enhance paddy/grain yield, Zn concentration, and recovery in comparison to other Zn sources, primarily, due to long-term enhancements of Zn Phyto-availability. The objective of the present study was to evaluate the most efficient and cost-effective Zn source available to enhance rice-wheat yield and the paddy/grain Zn concentration.

Materials and methods

Site selection, soil analysis, and climatic conditions

The present study was carried out at four sites i.e. farmer’s field in Multan (29°.959593 N, 71°.343759 E), Faisalabad (31°.7053030 N, 73°.0215580 E), Sahiwal (30°.533018 N, 72°.758652 E) and Lahore (31°.748680 N, 74°.103364 E) regions. Two-year experiments were conducted on rice (2019 and 2020) and wheat (2019–20 and 2020–21) separately at each site. Pre-sowing soil samples (0–15, 15–30 cm) were analyzed for pH, electrical conductivity (EC), phosphorus (P), potassium (K), zinc (Zn), boron (B), and texture. The pH, EC, B, and texture were measured by following the methods described by [46, 47]. Soil organic matter was determined following Walkley and Black method [48]. The soil of each site was classified according to the manual of the Soil Science Division Staff [49]. Soil-saturated paste was prepared for pHs, extract of paste was taken for ECe and both were determined using Jenway EC and pH meter model 671P. The P and K were determined using methods of [50, 51] respectively. The concentrations of AB-DTPA extractable Zn were determined following [52] method. Briefly, an extractant solution (AB-DTPA) was prepared by dissolving specified quantities of NH4HCO3 and DTPA in 1.0 L of distilled water. Soil (10 g) was taken in a calibrated plastic centrifuge tube, and a newly prepared extractant solution (20 mL) was added. The suspension was then shaken for 2 h and the solution was filtered and analyzed for Zn contents using an atomic absorption spectrophotometer (Solar S-100, Thermo Electron, USA). These soil properties are presented in Table 1.

thumbnail
Table 1. Physio chemical properties of pre-sowing soil on different locations.

https://doi.org/10.1371/journal.pone.0282615.t001

Multan is the southern part of Punjab, and the climate is arid subtropical with extreme summer temperature. Mean winter and summer temperature ranges from 7–26°C and 29–51°C respectively. The climate of Faisalabad is semiarid subtropical with a mean temperature of 6–21°C in winter and 27–39°C in summer. Sahiwal has a semiarid subtropical climate with average winter and summer temperature of 7–25°C and 28–49°C respectively. The climate of Lahore is semiarid subtropical, and temperature may range from 4–21°C in winter and 25–39°C in summer.

Experimental design and treatment application

Rice seed variety super basmati was taken from Rice Research Institute (RRI) Kala Shah Kaku and wheat variety Faisalabad 2008 was obtained from Wheat Research Institute, Ayub Agricultural Research Institute Faisalabad. Experiments at each location for both years were laid out in randomized complete block design arrangements and treatment plots (20 m × 10 m) were replicated four times. Experiments were carried out at the same locations for (rice-wheat-rice-wheat) in both successive years but treatments were applied separately to each cropping season. Thirty days old nursery of rice was shifted in puddled flooded field plots. The field remained flooded (∼10 cm depth) for one week after seedling transplantation, drained after one week, and refilled (∼10 cm depth). Treatments were T1 (Urea 46% N @ 185 kg ha-1 + zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1). Fertilizer application rates were used following the recommendations of the Directorate of Agricultural information Government of Punjab Pakistan, however, there are no recommendations for BAZU therefore BAZU was tested at two different levels. The BAZU is a synergetic combination of urea coated with bioactive Zn (BAZ) @ 1% and beneficial microbial consortium @ 103 CFU g-1 (Patent number US 9,994,494 "Bioactive Nutrient Fortified Fertilizers (BNFF)" published by US Patent and Trademark Office and patent number 142829 published by The Patent Office, Government of Pakistan). Fertilizers were applied separately for both crops @ 86:74 P2O5:K2O kg ha-1 in the form of diammonium phosphate (DAP; 46% P2O5; 18% N) and muriate of potash (MOP; 60% K2O). The full dose of P, K2O was applied as basal while nitrogen in the form of urea (46% N) was applied in two equal splits at tillering and panicle initiation stage. Nitrogen in the form of bioactive Zn-coated urea (42% N + 1% bioactive Zn) for T3 and T4 was applied in a single split as the first urea and the remaining N was applied in the form of urea (46% N) as second split. The full dose of ZnSO4 in T2 was applied with the first urea split. The field was irrigated after seven days to continue flooding until physical maturity. After rice harvesting, wheat (var. FSD-08) seed @ 125 kg ha-1 was broadcasted in similar soil at field capacity moisture. The ZnSO4 (Zn = 33%) granular was purchased from the local market of Lahore city and imported from Kirns chemical Ltd. China with CAS (chemical abstracts service) number 7446-19-7 and EINECS (European inventory of existing commercial chemical substances) number 231-793-3. The BAZU was procured from the local market of Lahore with the brand name “Zabardast urea” marketed by Engro Fertilizers Pvt. Ltd. Pakistan. The Zabardast urea is a synergetic hybrid of urea having bioactive Zn @ 1% in 50 kg bag, nitrogen @ 42%, Zn mobilizing bacterial count @ 103 CFU per gram of fertilizer material having 10% Zn mobilizing efficiency. The PSQCA (Pakistan standard and quality control authority) number for Zabardast urea is 5336–2015.

Growth and yield attributes

At harvesting, An area of 100 cm2 was selected in duplicate (as technical replicates) from every biological replicate, 10 plants from each technical replicate were selected for the determination of panicle/spike length, number of grains per panicle/spike of rice/wheat and the data were averaged to serve as one biological replicate [31, 53]. For paddy/grain and straw yield, three samples (1 m2) were manually harvested and threshed to measure grain and straw weight. For 1000 paddy/grain weight, three samples of 1000 paddy/grain from each plot were taken and weighed. Plant height, Panicle/spike length were measured using stainless steel scale whereas the 1000 grains weight was measured by using a digital weighing balance (AUW 120 D, Shimadzu Corporation, Japan). Plant samples of both rice and wheat crops were taken following standard protocols with the permission of host farmers because experiments were conducted in farmer fields. The Harvest index (HI) of both crops was calculated as:

Zn determination in grains/paddy

One gram of dried ground sample of paddy/grains of rice/wheat were processed for wet digestion as described by [35]. The samples were mixed separately with a 10 mL mixture of concentrated HNO3 and HClO4 (3:1) in a conical flask and kept overnight. The digestion was done using hot plate until a clear material was obtained. After cooling, samples were diluted to 50 ml with deionized water, filtered using Whatman filter paper 42, and stored in plastic bottles at room temperature (25 ± 2°C). Digested samples were analyzed for Zn by atomic absorption spectrophotometer (Solar S-100, Thermo electron, USA) pre-calibrated with a series of Zn standard solutions.

Total Zn uptake by grains was calculated as follows:

The Zn efficiencies i.e. Agronomic efficiency and Apparent Zn recovery efficiency were calculated by following [54].

Agronomic efficiency (AGE) was calculated as:

The apparent recovery efficiency (ARE) of Zn was calculated as:

Economic analysis

The economic analysis was conducted to estimate the net benefit of applied treatments. For this, the total (fixed and variable) cost and gross income (grain + straw) of both crops was averaged for two years. The detail of cost and income is given in Tab 4. The benefit to cost ratio (BCR) was measured following [55] as:

Statistical analysis

The recorded parameters of both rice and wheat were statistically analyzed following two-way ANOVA [56] with randomized complete block design arrangements. The present study includes four treatments, four replications, four experimental sites, and two test crops (rice-wheat). The ANOVA was applied to each crop separately. To compare mean values, Least Significant Difference (LSD) test was applied at 5% probability using Statistix 8.1 software (Version 8.1 Software package).

Results

Rice

Growth and yield attributes.

Results of Panicle length (PL), number of grains per panicle (GP), 1000 grain weight, biomass yield, and harvest index (HI) are presented in Table 2. PL was recorded higher under T4 as compared to T1 of the respective location at LHR (5% higher) and SWL (8% higher) while PL was similar among treatments at FSD and MTN. Application of BAZU (T4) significantly improved GP at all locations as compared to T1 (control) of respective location with a higher increment of 21% at MTN followed by FSD (19%), SWL (14%), and LHR (14%) over T1 of each location. Among locations, higher GP were recorded at LHR followed by SWL, MTN, and FSD. Maximum biomass yield at MTN (9%), FSD (7%), SWL (7%), and LHR (7% higher) was attained under BAZU (T4) relative to control (T1) of respective locations whereas similar biomass yield was observed among T2 and T3 of each location. Similarly, higher paddy yield was achieved by Zn application through both sources at all experimental sites as compared to T1 (control) of respective location, while increment in paddy yield was highest under T4 (13, 11, 12 and 11% higher) over control (3.98, 4.98, 4.75 and 5.10 t ha-1) of each location at MTN, FSD, LHR and SWL respectively (Fig 1). Although T2 and T3 showed higher paddy yield over control of respective locations but similar to each other. Among locations, the highest paddy yield was observed at SWL followed by FSD, LHR, and MTN (Fig 1). The treatments showed the following trend for paddy yield as T4>T3 = T2> T1 separately for each location. The weight of 1000 grain was significantly increased under T4 by 7% at FSD and 8% at MTN, SWL, and LHR over T1 (control) of respective locations but T2 and T3 showed a similar increase in 1000 grain weight relative to T1 of the respective location. The T4 showed a 4% higher harvest index (HI) at each experimental site compared to T1 of the respective location. Except for SWL, similar HI was recorded among T2 and T3 relative to T1 of each location (Table 2).

thumbnail
Fig 1. Effect of zinc sulfate and bioactive zinc coated urea on paddy yield of rice and wheat grain yield.

MTN = Multan; FSD = Faisalabad; SWL = Sahiwal; LHR = Lahore; BAZU = Bioactive Zn coated urea (42% N; 1% Zn); T1 (Urea 46% N @ 185 kg ha-1+ zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1).

https://doi.org/10.1371/journal.pone.0282615.g001

thumbnail
Table 2. Effect of zinc sulfate and bioactive zinc coated urea on growth and yield of rice.

https://doi.org/10.1371/journal.pone.0282615.t002

Paddy Zn concentration and uptake.

Paddy Zn concentration and uptake were significantly increased with applied Zn at all experimental locations as compared to the control (Figs 2A and 3A). The following trend T4>T3 = T2>T1 was observed among treatments for paddy Zn concentration and uptake. Paddy Zn concentration under BAZU (T4) fertilized plot was recorded 58% higher at MTN, 67% at FSD, 77% at LHR, and 65% at SWL experiments as compared to T1 plants at MTN (20.5 mg kg-1), FSD (18.4 mg kg-1), SWL (18.8 mg kg-1) and LHR (19.2 mg kg-1) respectively (Fig 2A). Similarly, paddy Zn uptake was noted as highest with T4 (146, 170, 180, and 177 g ha-1) and lowest under control (T1) plants (81, 92, 91and 96 g ha-1) at MTN, FSD, LHR, and SWL respectively (Fig 3A).

thumbnail
Fig 2. Effect of zinc sulfate and bioactive zinc coated urea on Zn concentration in paddy of rice and grains of wheat.

MTN = Multan; FSD = Faisalabad; SWL = Sahiwal; LHR = Lahore; BAZU = Bioactive Zn coated urea (42% N; 1% Zn); T1 (Urea 46% N @ 185 kg ha-1+ zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1).

https://doi.org/10.1371/journal.pone.0282615.g002

thumbnail
Fig 3. Effect of zinc sulfate and bioactive zinc coated urea on Zn uptake by paddy of rice and grains of wheat.

MTN = Multan; FSD = Faisalabad; SWL = Sahiwal; LHR = Lahore; BAZU = Bioactive Zn coated urea (42% N; 1% Zn); T1 (Urea 46% N @ 185 kg ha-1+ zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1).

https://doi.org/10.1371/journal.pone.0282615.g003

Apparent Zn recovery and agronomic efficiency.

Maximum paddy Zn was recovered under T4 followed by T3 and T2 at all experimental sites (Fig 4A). The highest Zn was recovered by plants grown in BAZU (T4) applied plots (9.4, 6.6, 7.4, and 7.1-folds higher) over T2 (0.51, 0.83, 0.79, and 0.89%) at MTN, FSD, SWL, and LHR respectively. A similar trend was observed in the case of agronomic efficiency i.e. relative to T2 (48, 56, 66, and 52 kg kg-1), 130, 98, 84, and 113% increment was noted under T4 at MTN, FSD, SWL and LHR respectively (Fig 4C).

thumbnail
Fig 4. Effect of zinc sulfate and bioactive zinc coated urea on agronomic and Zn recovery efficiencies of rice and wheat.

MTN = Multan; FSD = Faisalabad; SWL = Sahiwal; LHR = Lahore; BAZU = Bioactive Zn coated urea (42% N; 1% Zn); T1 (Urea 46% N @ 185 kg ha-1+ zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1).

https://doi.org/10.1371/journal.pone.0282615.g004

Wheat

Growth and yield attributes.

Table 3 represents the results of spike length (SL), number of grains per spike (GS), number of tillers, 1000 grain weight, biomass yield, and harvest index (HI). As compared to T1 of the respective locations, SL was recorded higher at MTN (16%) and SWL (13%) under T4 while at FSD and LHR, SL remained statistically unchanged among treatments. Relative to control (T1), GS were significantly higher in T4 plants while unchanged under T2 and T3 compared to T1 of the respective location. Relative to T1 of each location, GS were enhanced by 19, 10, 13, and 12% in presence of BAZU (T4) at MTN, FSD, SWL, and LHR respectively. The BAZU (T4) resulted in higher productive tillers i.e. 14, 13, 11, and 14% higher tillers were recorded at MTN, FSD, SWL, and LHR respectively over control (T1) of the respective location. 1000-grain weight was significantly increased in the presence of Zn over control of each location and recorded highest under T4 over the rest of treatments i.e., 8, 7, 9, and 7% higher at MTN, FSD, SWL, and LHR respectively over control (T1) of the respective location. 1000-grain weight was noted as similar among T2 and T3 at all locations but higher than the control of each location. Similarly, grain yield was significantly increased by the application of Zn sources over control (T1) of each location i.e., 12, 11, 11, and 10% higher yield was noted at MTN, FSD, SWL, and LHR respectively compared to T1 of respective location (Fig 1B). The highest grain yield was observed under T4 (5.36, 4.57, 4.90, and 4.07 t ha-1) and lowest under T1 (4.80, 4.10, 4.41, and 3.70 t ha-1) at MTN, FSD, SWL, and LHR respectively. Grain yield was similar among T2 and T3 relative to T1 of each experimental location. Among locations, the highest grain yield was recorded at MTN followed by SWL, FSD, and LHR (Fig 1B). Harvest index (HI) followed a similar trend i.e., T4 plants produced 3, 4, 4, and 4% higher HI at MTN, FSD, SWL, and LHR respectively as compared to T1 of the respective location while T2 and T3 showed an equal increase in HI over T1 (Table 3).

thumbnail
Table 3. Effect of zinc sulfate and bioactive zinc coated urea on growth and yield of wheat.

https://doi.org/10.1371/journal.pone.0282615.t003

Grain Zn concentration and uptake.

Grain Zn concentration and uptake were significantly increased by the application of Zn and the maximum concentration of Zn in grains and its uptake were noted under BAZU (T4) and both were minimum in control (T1) without Zn fertilization (Figs 2B and 3B). Grain Zn concentration was analyzed highest in T4 (46.2, 43.9, 46.7, and 44.9 mg kg-1) and lowest in T1 plants (24.3, 23.5, 23.8, and 22.8 mg kg-1) at MTN, FSD, SWL, and LHR, respectively (Fig 2B). Grain Zn concentration was 90, 87, 96, and 97% higher at MTN, FSD, SWL, and LHR relative to T1 of the respective location. At SWL, T2 and T3 showed an equal increase in grain Zn concentration over T1. A similar trend was observed for grain Zn uptake i.e. T4 plants gave maximum (248, 201, 229, and 183 g ha-1) while minimum uptake was noted under T1 (117, 97, 105, and 84 g ha-1) at MTN, FSD, SWL, and LHR, respectively (Fig 3B). Zn uptake was increased by 112, 108, 118, and 117% over T1 of the respective location whereas similar among T2 and T3 at SWL and LHR compared to T1 (Fig 3B).

Apparent Zn recovery and agronomic efficiency.

A significant increase in recovery of Zn in wheat grains was noted by the application of BAZU (T4) as compared to T2 and T3 (Fig 4B). Based on an average of two-year experiments at each experimental location, the highest Zn recovery (10.7, 8.5, 10.1, and 8.1%) was observed under T4 whereas recovery was calculated as lowest under T2 (1.24, 0.91, 1.27 and 0.68%) at MTN, FSD, SWL, and LHR respectively. Recovery of grain Zn followed the trend T4>T3>T2 separately for each location. Similarly, agronomic efficiency was maximum under T4 over the rest of the treatments while similar among T2 and T3 (Fig 4D). Agronomic efficiency was increased by 102, 141, 133, and 109% under T4 at MTN, FSD, SWL, and LHR respectively as compared to T2 of respective experimental locations (Fig 4D).

Heatmap.

Comparison among experimental sites and treatment for both crops is presented in the form of a heat map (Figs 5 and 6). The positive correlation for all parameters was observed for T4 at LHR and SWL. The T2 and T3 at LHR showed a positive correlation for parameters except for 1000 grain weight and harvest index whereas, at the SWL location, T2 showed a negative correlation for paddy Zn concentration and T3 for harvest index (Fig 5). Except for grain per panicle, T4 at FSD showed a positive correlation for recorded parameters while T4 at MTN showed a positive correlation for harvest index, paddy Zn concentration, and uptake (Fig 5). In wheat, a maximum positive correlation was noticed in the presence of T4 at MTN followed by T4 at SWL for all parameters except 1000 grain weight which remains negatively correlated for both locations (Fig 6). Except for 1000 grain weight, a positive correlation was noted for T2 and T3 at SWL and MTN. The T2 and T3 at MTN showed a higher positive correlation for grain and biological yield. A negative correlation was observed for T1 at all experimental sites (Fig 6).

thumbnail
Fig 5. Heatmap showing comparison of treatments among various experimental locations for rice.

M = Multan; F = Faisalabad; S = Sahiwal; L = Lahore; BAZU = Bioactive Zn coated urea (42% N; 1% Zn); T1 (Urea 46% N @ 185 kg ha-1+ zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1)HI = Harvest index; PZn = paddy Zn concentration; ZnU = Zn uptake by paddy; TG = thousand paddy weight; BY = biomass yield; GY = paddy yield; PL = panicle length; GP = number of grains per panicle.

https://doi.org/10.1371/journal.pone.0282615.g005

thumbnail
Fig 6. Heatmap showing comparison of treatments among various experimental locations for wheat.

M = Multan; F = Faisalabad; S = Sahiwal; L = Lahore; BAZU = Bioactive Zn coated urea (42% N; 1% Zn); T1 (Urea 46% N @ 185 kg ha-1+ zero Zn), T2 (Urea 46% N @ 185 kg ha-1 + ZnSO4 33% Zn @ 15 kg ha-1), T3 (BAZU 42% N @ 100 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.00 kg ha-1), T4 (BAZU 42% N @ 125 kg ha-1 + Urea 46% N @ 62 kg ha-1 + 1% bioactive Zn @ 1.25 kg ha-1)GZn = Grain Zn concentration; ZnU = Zn uptake by grain; GY = grain yield; BY = biomass yield; PT = productive tillers; SL = spike length; HI = Harvest index; GS = number of grains per spike; TG = thousand grain weight.

https://doi.org/10.1371/journal.pone.0282615.g006

Benefit-Cost ratio.

According to BCR, T4 in both crops remained economical and provide higher benefits as compared to the remaining treatments (Table 4). The BCR for both crops showed the following trend T4> T3> T2> T1. In rice, the highest benefit was attained at FSD where T4 gave a B:C ratio of 1.47 over 1.25 of T1. Similarly, T4 found economical during wheat where the B:C ratio was 2.48, 1.97, 2.17, and 1.69 while a lower B:C ratio was noted under T1 (2.19, 1.75, 1.93, and 1.51) at MTN, FSD, SWL, and LHR respectively (Table 4).

thumbnail
Table 4. Effect of zinc sulfate and bioactive zinc coated urea on economics of rice and wheat crops at various locations.

https://doi.org/10.1371/journal.pone.0282615.t004

Discussion

Zinc (Zn) application, as ZnSO4 and Zn enriched urea, increases grain yield in wheat [2729] and rice [28, 30]. However, the enhancement of yield, by the application of Zn [57] through different Zn sources at various experimental sites proved to be differential in this study. The fertilization of Zn as BAZU (T4) enhanced the paddy yield of rice and wheat grain yield along with the Zn concentration and uptake in comparison to ZnSO4 (T2). These paddy and wheat grain yield increments were linked with the number of grains per panicle and per spike, respectively, which ultimately enhanced the respective rice paddy and wheat grain weight (Tables 2 and 3), somehow, due to Zn supportive pollination through betterments in photosynthesis, sugar transformation [24], pollen tube development [58], pollen viability [26], flowering and grain formation [25]. Moreover, BAZU (T4) responsive yield increments might also have resulted from the higher Zn uptake [29] and recovery along with improved agronomic efficiencies (Figs 3 and 4). Previous studies also witnessed the bio-active Zn coated urea-based enhancement in morphological, yield, and quality parameters of rice [59, 60]. However, in contrast to previous studies, the rice paddy and wheat grain Zn concentrations were increased by Zn application through both ZnSO4 (T2) and BAZU (T3 and T4) sources, but the increments noted with BAZU (T4), were superior to the rest of the treatments (Fig 2). Mobilization and translocation of Zn in grain is dependent on its concentration in vegetative parts of the plant, soil N status and plant type (species or cultivars) [13, 6163]. Furthermore, the Zn solubilizing microbes could have helped to ensure Zn availability for longer times and decreased Zn losses in soil [1, 45, 64] under BAZU application, the underlying mechanisms are yet to be explored though. Nonetheless, the bioactive Zn and Zn solubilizing bacteria present in BAZU are known to enhance Zn bioavailability to plants through the solubilization of insoluble soil Zn fractions in rhizosphere to ensure continuous supply [29]. Zn solubilizing bacteria are also known to enhance Zn availability at grain filling stage, thus accumulating higher Zn in paddy and wheat grains [29, 61] relative to other Zn sources. Apart from source-specific effect, the crop-specific effect was also observed, whereby Zn concentration in wheat grains (∼47 mg kg-1) was found to be more than paddy Zn concentration (∼34 mg kg-1) in rice (Fig 2), perhaps, due to the Zn-fertilization based [42, 60] increment in Zn uptake and subsequent higher translocation from straw to the grain [29] by the application of BAZU (T4). Whereas, the lower paddy Zn concentration was, possibly, due to the soil micro-environment (flooding) which could have reduced the phyto-availability of the Zn manifold [21, 37]. In the present study, Zn recovery and agronomic efficiencies were recorded higher as a result of BAZU (T4) application due to the increments in paddy/grain yield and Zn uptake in contrast to the application of ZnSO4 (Fig 4) as reported previously where Zn recovery and agronomic efficiencies of rice were improved at two different locations of Punjab Pakistan [31]. The higher Zn use efficiency was noted in the presence of Zn and bacterial enriched urea (BAZU) over conventional ZnSO4 application (Fig 4) as previously, 12-fold higher Zn use efficiency was recorded in wheat by the application of bacterial enriched urea and Zn [29]. Similarly, uptake of Zn by paddy/grains was also increased with the Zn-fertilization and calculated as maximum with the addition of BAZU followed by ZnSO4 over control (Fig 3). The increases in uptake of Zn by rice paddy and wheat grains were due to the increased demand resulting from the enhanced utilization of Zn in biomass production [65, 66].

To further strengthen the aforementioned arguments, the positive correlation of T4 for all the parameters of rice at Lahore, Sahiwal, Faisalabad (except the number of grains per panicle), and Multan (at least for harvest index, paddy Zn concentration, and uptake) (Fig 5) further depicted the overwhelming response of BAZU application. Similarly, except for 1000 grain weight, T4 showed a highly positive correlation for all attributes at Multan and Sahiwal (Fig 6). The previous study showed a positive correlation among recorded parameters of only wheat crop by the application of Zn and bacterial enriched urea [29]. Apart from the benefit to cost ratio reported previously only for the wheat [29] the maximum benefit to cost ratio of T4 in rice (1.47 vs 1.25 in T1) as well as wheat (2.48 vs 2.19 in T1) at Faisalabad and Multan (Table 4), respectively, reinforced the economic effectiveness BAZU (T4) application. Application of BAZU (T4) might have activated or regulated soil and plant mechanisms in our study leading to impart its beneficial impacts on the growth, yield, Zn uptake, Zn recovery, and agronomic efficiencies of both crops (rice-wheat). In addition, the enhancements in rice and wheat growth and yield in this study would have, possibly, contributed by the collective responses of bioactive-Zn and supporting activities of microbes involved in P-solubilization, ACC deaminase activity, production of siderophores and indole-3-acetic acid [6770] Finally, the strongly positive interaction (Pearson correlation) of Zn-uptake with rice (biomass yield, number of grains per panicle, paddy yield, and panicle length) and wheat (biomass yield, grain yield, harvest index, grain Zn concentration, productive tillers, and spike length) parameters highlighted the continuous Zn availability to both crops enabling them to uptake Zn and utilize it in the subsequent biomass and yield production attributes (Table 5), the underlying molecular mechanisms of which are still needed to be investigated in future studies.

thumbnail
Table 5. Correlation among parameters influenced by BAZU application @125 kg ha-1 (T4) in four different sites (MTN, FSD, SWL, LHR).

https://doi.org/10.1371/journal.pone.0282615.t005

Conclusion

The application of Zn either as sole ZnSO4 or as bioactive zinc-coated urea (BAZU) increased paddy and wheat grain yield and Zn concentration however, the increments were found to be the highest with 125 kg BAZU per hectare. Among test crops, the maximum grain Zn concentration was analyzed in wheat followed by rice. Grain yield was recorded in the order BAZU @ 125 kg ha-1 > ZnSO4 = BAZU @ 100 kg ha-1 > Control for both crops. In this study, the superiority of BAZU @ 125 kg ha-1 over ZnSO4 in terms of grain Zn concentration can make it an effective choice for the biofortification of Zn in the rice paddy and wheat grain. However, the underlying physiological and molecular mechanisms can be further investigated in the future.

Acknowledgments

The authors highly acknowledge Engro Fertilizers Ltd. for the provision of experimental funds. We also acknowledge Field assistants (FAs) Muhammad Naseer Iqbal, Muhammad Shahid, Rao Ali Hasan (FAs Lahore), Mohsin Shabir, Kashif Murtaza (FAs Multan), Muhammad Tayyab, Muhammad Mubeen Javed (FAs Sahiwal), Muhammad Abid, Ahmad Nawaz (FAs Faisalabad) and Kanwaer Abdul Khalique, Muhammad Faseeh (FAs Hyderabad) of Engro fertilizers R&D to help in the trials execution and data collection, Laboratory incharge Muhammad Tariq and Rashid Mahmood, lab assistant Awais Afzal, Maria Mahmood, Arif Ahmed Sheikh and lab attendant Muhammad Kashif and Shahzad Mughal for soil and plant samples preparation and analysis. The authors are grateful to Rice Research Institute Kala Shah Kaku and Wheat Research Institute Ayub Agricultural Research Institute Faisalabad for the provision of rice and wheat seeds respectively. We acknowledge Bilal Aziz R&D coordinator Engro Fertilizers for the formatting of the draft.

References

  1. 1. Mumtaz MZ, Malik A, Nazli F, Latif M, Zaheer A, Ali Q, et al. Potential of zinc solubilizing Bacillus strains to improve growth, yield, and quality of maize (Zea mays). Int J Agric Biol. 2020;24:691–8.
  2. 2. Cakmak I, Kutman Uá. Agronomic biofortification of cereals with zinc: a review. European journal of soil science. 2018;69(1):172–80.
  3. 3. Roohani N, Hurrell R, Kelishadi R, Schulin R. Zinc and its importance for human health: An integrative review. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences. 2013;18(2):144. pmid:23914218
  4. 4. Organization WH. The world health report 2002: reducing risks, promoting healthy life: World Health Organization; 2002.
  5. 5. Programme. The Gambia Human Development Report: UNDP; 2003.
  6. 6. Rehman A, Farooq M, Ullah A, Nadeem F, Im SY, Park SK, et al. Agronomic biofortification of zinc in Pakistan: status, benefits, and constraints. Frontiers in Sustainable Food Systems. 2020;4:591722.
  7. 7. Bhowmik D, Chiranjib K, Kumar S. A potential medicinal importance of zinc in human health and chronic. Int J Pharm. 2010;1(1):05–11.
  8. 8. Andreini C, Banci L, Bertini I, Rosato A. Zinc through the three domains of life. Journal of proteome research. 2006;5(11):3173–8. pmid:17081069
  9. 9. Krężel A, Maret W. The biological inorganic chemistry of zinc ions. Archives of biochemistry and biophysics. 2016;611:3–19. pmid:27117234
  10. 10. FAO P. Core Production Data Base, Electronic Resource under. 2014.
  11. 11. Maclean J, Dawe D, Hardy B, Hettel G. Rice almanac. 3rd edn. Wallingford, Oxon. CABI Publishing; 2002.
  12. 12. Wessells KR, Brown KH. Estimating the global prevalence of zinc deficiency: results based on zinc availability in national food supplies and the prevalence of stunting. PloS one. 2012;7(11):e50568. pmid:23209782
  13. 13. Rehman A, Farooq M, Ozturk L, Asif M, Siddique KH. Zinc nutrition in wheat-based cropping systems. Plant and Soil. 2018;422(1):283–315.
  14. 14. Zinc Hacisalihoglu G. (Zn): The last nutrient in the alphabet and shedding light on zn efficiency for the future of crop production under suboptimal zn. Plants. 2020;9(11):1471.
  15. 15. Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, et al. Maternal and child undernutrition: global and regional exposures and health consequences. The lancet. 2008;371(9608):243–60. pmid:18207566
  16. 16. Walker CF, Ezzati M, Black R. Global and regional child mortality and burden of disease attributable to zinc deficiency. European journal of clinical nutrition. 2009;63(5):591–7. pmid:18270521
  17. 17. Darnton-Hill I, Webb P, Harvey PW, Hunt JM, Dalmiya N, Chopra M, et al. Micronutrient deficiencies and gender: social and economic costs. The American journal of clinical nutrition. 2005;81(5):1198S–205S. pmid:15883452
  18. 18. Stein AJ. Rethinking the measurement of undernutrition in a broader health context: Should we look at possible causes or actual effects? Global Food Security. 2014;3(3–4):193–9.
  19. 19. Dobermann A. Rice: Nutrient disorders & nutrient management: Int. Rice Res. Inst.; 2000.
  20. 20. Fageria N, Baligar V, Clark R. Micronutrients in crop production. Advances in agronomy. 2002;77:185–268.
  21. 21. Quijano-Guerta C, Kirk G, Portugal A, Bartolome V, McLaren G. Tolerance of rice germplasm to zinc deficiency. Field Crops Research. 2002;76(2–3):123–30.
  22. 22. Marschner H. Marschner’s mineral nutrition of higher plants: Academic press; 2011.
  23. 23. Chang H-B, Lin C-W, Huang H-J. Zinc-induced cell death in rice (Oryza sativa L.) roots. Plant growth regulation. 2005;46(3):261–6.
  24. 24. Römheld V, Marschner H. Genotypical differences among graminaceous species in release of phytosiderophores and uptake of iron phytosiderophores. Genetic Aspects of Plant Mineral Nutrition: Springer; 1990. p. 77–83.
  25. 25. Pandey N. Role of micronutrients in reproductive physiology of plants. Plant Stress. 2010;4(2):1–13.
  26. 26. Nautiyal N, Yadav S, Singh D. Improvement in reproductive development, seed yield, and quality in wheat by zinc application to a soil deficient in zinc. Communications in soil science and plant analysis. 2011;42(17):2039–45.
  27. 27. Dwivedi R, Srivastva PC. Effect of zinc sulphate application and the cyclic incorporation of cereal straw on yields, the tissue concentration and uptake of Zn by crops and availability of Zn in soil under rice–wheat rotation. International Journal of Recycling of Organic Waste in Agriculture. 2014;3(2):1–12.
  28. 28. Shivay YS, Kumar D, Prasad R. Effect of zinc-enriched urea on productivity, zinc uptake and efficiency of an aromatic rice–wheat cropping system. Nutrient Cycling in Agroecosystems. 2008;81(3):229–43.
  29. 29. Ali MA, Naeem F, Tariq N, Ahmed I, Imran A. Bioactive Nutrient Fortified Fertilizer: A Novel Hybrid Approach for the Enrichment of Wheat Grains With Zinc. Frontiers in plant science. 2021:2870. pmid:35003150
  30. 30. Slaton NA, Gbur EE, Wilson CE, Norman RJ. Rice Response to Granular Zinc Sources Varying in Water‐Soluble Zinc. Soil Science Society of America Journal. 2005;69(2):443–52.
  31. 31. Farooq M, Ullah A, Rehman A, Nawaz A, Nadeem A, Wakeel A, et al. Application of zinc improves the productivity and biofortification of fine grain aromatic rice grown in dry seeded and puddled transplanted production systems. Field Crops Research. 2018;216:53–62.
  32. 32. Mandal B, Hazra G, Mandal L. Soil management influences on zinc desorption for rice and maize nutrition. Soil Science Society of America Journal. 2000;64(5):1699–705.
  33. 33. Alloway BJ. Soil factors associated with zinc deficiency in crops and humans. Environmental geochemistry and health. 2009;31(5):537–48. pmid:19291414
  34. 34. Fageria N, Dos Santos A, Cobucci T. Zinc nutrition of lowland rice. Communications in Soil Science and Plant Analysis. 2011;42(14):1719–27.
  35. 35. Ac A. Official methods of analysis. Association of the Official Analytical Chemists, 15th ed Association of official Analytical Chemists, Arlington, Virginia. 1990.
  36. 36. Bostick B, Hansel C, La Force M, Fendorf S. Seasonal fluctuations in zinc speciation within a contaminated wetland. Environmental science & technology. 2001;35(19):3823–9. pmid:11642439
  37. 37. Johnson-Beebout SE, Angeles OR, Alberto MCR, Buresh RJ. Simultaneous minimization of nitrous oxide and methane emission from rice paddy soils is improbable due to redox potential changes with depth in a greenhouse experiment without plants. Geoderma. 2009;149(1–2):45–53.
  38. 38. Gao X, Zou C, Fan X, Zhang F, Hoffland E. From flooded to aerobic conditions in rice cultivation: consequences for zinc uptake. Plant and Soil. 2006;280(1):41–7.
  39. 39. Rehman H-u, Aziz T, Farooq M, Wakeel A, Rengel Z. Zinc nutrition in rice production systems: a review. Plant and soil. 2012;361(1):203–26.
  40. 40. Guo J, Feng X, Hu X, Tian G, Ling N, Wang J, et al. Effects of soil zinc availability, nitrogen fertilizer rate and zinc fertilizer application method on zinc biofortification of rice. The Journal of Agricultural Science. 2016;154(4):584–97.
  41. 41. Cakmak I. Enrichment of cereal grains with zinc: agronomic or genetic biofortification? Plant and soil. 2008;302(1):1–17.
  42. 42. Phattarakul N, Rerkasem B, Li L, Wu L, Zou C, Ram H, et al. Biofortification of rice grain with zinc through zinc fertilization in different countries. Plant and Soil. 2012;361(1):131–41.
  43. 43. Johnson-Beebout SE, Goloran JB, Rubianes FH, Jacob JD, Castillo OB. Zn uptake behavior of rice genotypes and its implication on grain Zn biofortification. Scientific reports. 2016;6(1):1–13.
  44. 44. Dimkpa CO, Campos MG, Fugice J, Glass K, Ozcan A, Huang Z, et al. Synthesis and characterization of novel dual-capped Zn–urea nanofertilizers and application in nutrient delivery in wheat. Environmental Science: Advances. 2022;1(1):47–58.
  45. 45. Tariq N, Arshad M, Jamshed HR, Ahmed N. Bioactive nutrient fortified fertilizers and related methods. Google Patents; 2017.
  46. 46. Laboratory RS. Diagnosis and improvement of saline and alkali soils: US Department of Agriculture; 1954.
  47. 47. Page AL, Keeney D. Methods of soil analysis: American Society of Agronomy; 1982.
  48. 48. Walkely A, Black I. An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil sci. 1934;37(2).
  49. 49. Ditzler C, Scheffe K, Monger H. Soil science division staff. Soil survey manual USDA Handbook. 2017;18:603.
  50. 50. Olsen SR. Estimation of available phosphorus in soils by extraction with sodium bicarbonate: US Department of Agriculture; 1954.
  51. 51. Cox A, Joern B, Brouder S, Gao D. Plant‐available potassium assessment with a modified sodium tetraphenylboron method. Soil Science Society of America Journal. 1999;63(4):902–11.
  52. 52. Soltanpour P. Use of ammonium bicarbonate DTPA soil test to evaluate elemental availability and toxicity. Communications in Soil Science and Plant Analysis. 1985;16(3):323–38.
  53. 53. Khan TA, Nadeem F, Chen L, Wang X, Zeng Z, Hu Y. Enhancing naked oat (Avena nuda L.) productivity with minimal indirect nitrogen loss and maximum nitrogen use efficiency through integrated use of different nitrogen sources. PloS one. 2019;14(3):e0213808. pmid:30883582
  54. 54. Fageria N. The use of nutrients in crop plants.,(CRC Press, Taylor and Francis Group: London). 2009.
  55. 55. Ulukan Z, Ucuncuoglu C. Economic analyses for the evaluation of is projects. JISTEM-Journal of Information Systems and Technology Management. 2010;7:233–60.
  56. 56. d Steel RG, Torrie JH. Principles and procedures of statistics: a biometrical approach: McGraw-Hill New York, NY, USA; 1986.
  57. 57. Fixen P, Brentrup F, Bruulsema T, Garcia F, Norton R, Zingore S. Nutrient/fertilizer use efficiency: measurement, current situation and trends. Managing water and fertilizer for sustainable agricultural intensification. 2015;270.
  58. 58. Kaya C, Higgs D. Response of tomato (Lycopersicon esculentum L.) cultivars to foliar application of zinc when grown in sand culture at low zinc. Scientia Horticulturae. 2002;93(1):53–64.
  59. 59. Nazir Q, Aftab M, Sarwar G, Riaz A, Hussain S, Saleem I, et al. Effectiveness of Zinc Coated, Blended and Bio-Activated Zinc Coated Urea to Quality, Biochemical Parameters and Yield in Rice Crop (Oryza sativa L.). Pakistan Journal of Agricultural Research. 2021;34(3).
  60. 60. Zou C, Zhang Y, Rashid A, Ram H, Savasli E, Arisoy R, et al. Biofortification of wheat with zinc through zinc fertilization in seven countries. Plant and soil. 2012;361(1):119–30.
  61. 61. Cakmak I, Pfeiffer WH, McClafferty B. Biofortification of durum wheat with zinc and iron. Cereal chemistry. 2010;87(1):10–20.
  62. 62. Singh BR, Timsina YN, Lind OC, Cagno S, Janssens K. Zinc and iron concentration as affected by nitrogen fertilization and their localization in wheat grain. Frontiers in Plant Science. 2018;9:307. pmid:29593765
  63. 63. Kiran A, Wakeel A, Sultana R, Khalid A, Mubaraka R, Shahzad AN, et al. Concentration and localization of Fe and Zn in wheat grain as affected by its application to soil and foliage. Bulletin of Environmental Contamination and Toxicology. 2021;106(5):852–8. pmid:33770197
  64. 64. Ahmad M, Adil Z, Hussain A, Mumtaz MZ, Nafees M, Ahmad I, et al. Potential of phosphate solubilizing Bacillus strains for improving growth and nutrient uptake in mungbean and maize crops. Pakistan Journal of Agricultural Sciences. 2019;56(2).
  65. 65. Liu D-Y, Zhang W, Pang L-L, Zhang Y-Q, Wang X-Z, Liu Y-M, et al. Effects of zinc application rate and zinc distribution relative to root distribution on grain yield and grain Zn concentration in wheat. Plant and Soil. 2017;411(1–2):167–78.
  66. 66. Martínez-Cuesta N, Carciochi W, Sainz-Rozas H, Salvagiotti F, Colazo JC, Wyngaard N, et al. Effect of zinc application strategies on maize grain yield and zinc concentration in mollisols. Journal of Plant Nutrition. 2021;44(4):486–97.
  67. 67. Hussain A, Arshad M, Zahir ZA, Asghar M. Prospects of zinc solubilizing bacteria for enhancing growth of maize. Pakistan journal of agricultural sciences. 2015;52(4).
  68. 68. Whiting SN, de Souza MP, Terry N. Rhizosphere bacteria mobilize Zn for hyperaccumulation by Thlaspi caerulescens. Environmental science & technology. 2001;35(15):3144–50. pmid:11505990
  69. 69. Wani P, Khan M, Zaidi A. Co-inoculation of nitrogen-fixing and phosphate-solubilizing bacteria to promote growth, yield and nutrient uptake in chickpea. Acta Agronomica Hungarica. 2007;55(3):315–23.
  70. 70. Ditta A, Imtiaz M, Mehmood S, Rizwan MS, Mubeen F, Aziz O, et al. Rock phosphate-enriched organic fertilizer with phosphate-solubilizing microorganisms improves nodulation, growth, and yield of legumes. Communications in Soil Science and Plant Analysis. 2018;49(21):2715–25.