| Literature DB >> 34992617 |
Bo-Fang Yan1, Thilo Dürr-Auster1, Emmanuel Frossard1, Matthias Wiggenhauser1.
Abstract
Manure and sewage sludge are known to add significant amounts of zinc (Zn) and other metals to soils. However, there is a paucity of information on the fate of Zn that derives from complex organic fertilizers in soil-plant systems and the contribution of these fertilizers to the Zn nutrition of crops. To answer these questions, we grew Italian ryegrass in the presence of ZnSO4, sewage sludge, and cattle and poultry manure in an acidic soil from Heitenried, Switzerland, and an alkaline soil from Strickhof, Switzerland, where the isotopically exchangeable Zn had been labeled with 67Zn. This allowed us to calculate the fraction of Zn in the shoots that was derived from fertilizer, soil, and seed over 4 successive cuts. In addition, we measured the 67Zn:66Zn isotope ratio with the diffusive gradients in thin films technique (DGT) on soils labeled with 67Zn and incubated with the same fertilizers. After 48 days of growth, the largest fraction of Zn in the ryegrass shoots was derived from the soil (79-88%), followed by the Zn-containing fertilizer (11-20%); the least (<2.3%) came from the seed. Only a minor fraction of the Zn applied with the fertilizer was transferred to the shoots (4.7-12%), which indicates that most of the freshly added Zn remained in the soil after one crop cycle and may thereby contribute to a residual Zn pool in the soil. The 67Zn:66Zn isotope ratios in the DGT extracts and the shoots measured at cut 4 were identical, suggesting that the DGT and plant took up Zn from the same pool. The proportion of Zn derived from the fertilizers in the DGT extracts was also identical to that measured in ryegrass shoots at cut 4. In conclusion, this work shows that stable Zn isotope labeling of the soil available Zn can be used to precisely quantify the impact of complex organic fertilizers on the Zn nutrition of crops. It also demonstrates that DGT extractions on labeled soils could be used to estimate the contribution of Zn fertilizers to plant nutrition.Entities:
Keywords: DGT (diffusive gradients in thin films); manure; plant nutrition; sewage sludge; source tracing
Year: 2021 PMID: 34992617 PMCID: PMC8724203 DOI: 10.3389/fpls.2021.730679
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
Selected soil properties after the labeling procedure.
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| Heitenried | Fluvisol | Sandy loam | 4.9 | 54.1 | 4.1 | 387 | 0 |
| Strickhof | Cambisol | Loam | 7.7 | 101.1 | 5.2 | 447 | 36.7 |
Data were published in Dürr-Auster et al. (.
Collected from a depth of 0–20 cm.
According to the International Union of Soil Sciences (IUSS) Working Group World Reference Base for Soil Resources (IUSS Working Group WRB, .
pH in H.
Energy dispersive X-ray fluorescence spectrometry.
Diethylenetriaminepentaacetic acid.
Maximal soil saturation with H.
Dry matter.
Total Zn concentration in the studied fertilizers and the input of total Zn, N, and C to soil with the application of each fertilizer.
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| No Zn | 0 | 0 | 0 | 0 |
| ZnSO4 | 440 × 103 | 1.42 | 0 | 0 |
| Sewage sludge | 634 | 1.52 | 90 | 0.734 × 103 |
| Poultry manure | 443 | 1.51 | 88 | 1.090 × 103 |
| Cattle manure | 353 | 1.56 | 225 | 1.704 × 103 |
Measured in HNO.
Determined through CN elemental analysis (Thermo Scientific Flash EA 1112).
Dry matter.
Applied as water solution.
Applied as dried powder.
Total dry weight (DW), averaged Zn concentration, total Zn uptake, and averaged proportion of Zn derived from the Zn-containing fertilizers (Zndffertavg%) in the Italian ryegrass shoot (sum of 4 cuts) cultivated in a growth chamber and grown in Heitenried soil (pH = 4.9) and Strickhof soil (pH = 7.7) amended with distinct Zn-containing fertilizers.
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| No Zn | 13.1 ± 1.9 a | 54.9 ± 1.6 a | 719 ± 99 a | – |
| ZnSO4 | 14.6 ± 0.6 ab | 56.4 ± 1.0 a | 816 ± 29 ab | 16.9 ± 0.8 a | |
| Sewage sludge | 15.1 ± 0.9 ab | 56.3 ± 0.8 a | 833 ± 50 ab | 19.8 ± 0.4 b | |
| Poultry manure | 15.9 ± 0.9 b | 54.5 ± 2.1 a | 865 ± 32 b | 20.2 ± 0.6 b | |
| Cattle manure | 14.9 ± 0.5 ab | 57.3 ± 1.8 a | 851 ± 40 b | 19.8 ± 0.3 b | |
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| No Zn | 16.3 ± 0.7 a | 38.3 ± 1.1 a | 621 ± 41 a | - |
| ZnSO4 | 16.2 ± 0.4 a | 40.6 ± 0.4 bc | 656 ± 11 ab | 12.1 ± 0.8 a | |
| Sewage sludge | 16.6 ± 0.2 a | 39.7 ± 0.4 ab | 656 ± 0.9 ab | 10.6 ± 0.4 a | |
| Poultry manure | 16.3 ± 0.5 a | 42.1 ± 0.9 c | 690 ± 25 bc | 10.8 ± 1.4 a | |
| Cattle manure | 15.7 ± 1.1 a | 46.1 ± 1.3 d | 726 ± 31 c | 10.7 ± 0.3 a | |
| ANOVA | Soil | *** | *** | *** | *** |
| Fertilizer | * | *** | *** | * | |
| Soil × Fertilizer | * | *** |
| *** |
Values represent the mean values of n = 4 replicates ± standard deviation. Zndffert.
Zndffert.
For each soil, different letters in the same column indicate significant differences (p < 0.05) among treatments.
Two-way ANOVA was performed to assess the effects of the soil and fertilizer treatment on data in the same column: ns stands for no significance difference whereas *, **, and *** indicate significant differences at the probability level of 0.05, 0.01, and 0.001, respectively.
Figure 1Uptake of Zn derived from the Zn-containing fertilizers (QZndffertsum; A) and soils (QZndfsoilsum; B) in the Italian ryegrass shoots (sum of 4 cuts) cultivated in a growth chamber and grown in soil from Heitenried (pH = 4.9) and Strickhof (pH = 7.7) without (no Zn) and with the addition of distinct Zn-containing fertilizers. Data are average values ± standard deviation (bars in the figures) calculated from n = 4 replicates. QZndffertsum values are corrected for the uptake of Zn derived from the seed. For each soil, different letters indicate significant differences (p < 0.05) among treatments. The effects of the soils and fertilizers tested by two-way ANOVA are shown at the bottom of each plot.
Recovery of Zn derived from the Zn-containing fertilizers in the Italian ryegrass shoot (sum of 4 cuts) cultivated in a growth chamber and grown in Heitenried soil (pH = 4.9) and Strickhof soil (pH = 7.7) amended with distinct Zn-containing fertilizers, measured with the stable isotope approach (ZnRecsum) and the AUE approach.
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| ZnSO4 | 9.8 ± 0.8 a | 6.8 ± 2.0 a |
| Sewage sludge | 10.4 ± 0.5 ab | 7.5 ± 3.3 a | |
| Poultry manure | 12.0 ± 0.4 b | 9.7 ± 2.1 a | |
| Cattle manure | 10.9 ± 0.5 ab | 8.5 ± 2.6 a | |
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| ZnSO4 | 5.6 ± 0.5 a | 2.4 ± 0.8 a |
| Sewage sludge | 4.7 ± 0.2 a | 2.3 ± 0.6 a | |
| Poultry manure | 5.2 ± 1.0 a | 4.6 ± 1.7 ab | |
| Cattle manure | 5.1 ± 0.2 a | 6.7 ± 2.0 b | |
| ANOVA | Soil | *** | *** |
| Fertilizer | * | * | |
| Soil × Fertilizer | ** |
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Values represent the mean values of n = 4 replicates ± standard deviation. ZnRec.
ZnRec.
Apparent use efficiency was calculated as the relative increase in the uptake of Zn in all four cuts between the fertilized and non-fertilized ryegrass divided by the total input of Zn with the fertilizer.
For each soil, different letters in the same column indicate significant differences (p < 0.05) among treatments.
Two-way ANOVA was performed to assess the effects of the soil and the fertilizer treatment on data in the same column: ns stands for no significance difference whereas *, **, and *** indicate significant differences at the probability level of 0.05, 0.01, and 0.001, respectively.
Figure 2Bland–Altman plot comparing the 67Zn:66Zn ratios measured in the DGT extracts in Heitenried soil and Strickhof soil incubated for 48 days after the addition of distinct Zn-containing fertilizers and in the Italian ryegrass shoots at cut 4 subjected to the same treatment cultivated in the same soil in the same growth chamber. For each treatment, the results measured in the DGT extracts and the shoots were averaged (x-axis) and plotted against their difference (y-axis). The dotted line shows the bias and the dashed lines represent the 95% confidence interval (CI) of the Bland–Altman analysis.
Figure 3Bland–Altman plot comparing the proportion of Zn derived from the Zn-containing fertilizers in the DGT extracts (ZndffertDGT) and in Italian ryegrass shoots at cut 4 (Zndffert4) subjected to the same treatment in the same soil. For each treatment, the values of ZndffertDGT and Zndffert4 were averaged (x-axis) and plotted against their difference (y-axis). The dotted line shows the bias and the dashed lines represent the 95% confidence interval (CI) of the Bland–Altman analysis.