| Literature DB >> 28765540 |
Xin-Ping Chen1, Yue-Qiang Zhang1,2, Yi-Ping Tong3, Yan-Fang Xue1, Dun-Yi Liu1, Wei Zhang1, Yan Deng1, Qing-Feng Meng1, Shan-Chao Yue1, Peng Yan1, Zhen-Ling Cui1, Xiao-Jun Shi2, Shi-Wei Guo4, Yi-Xiang Sun5, You-Liang Ye6, Zhao-Hui Wang7, Liang-Liang Jia8, Wen-Qi Ma9, Ming-Rong He10, Xi-Ying Zhang11, Chang-Lin Kou12, Yan-Ting Li13, De-Shui Tan14, Ismail Cakmak15, Fu-Suo Zhang1, Chun-Qin Zou16.
Abstract
Increasing grain zinc (Zn) concentration of cereals for minimizing Zn malnutrition in two billion people represents an important global humanitarian challenge. Grain Zn in field-grown wheat at the global scale ranges from 20.4 to 30.5 mg kg-1, showing a solid gap to the biofortification target for human health (40 mg kg-1). Through a group of field experiments, we found that the low grain Zn was not closely linked to historical replacements of varieties during the Green Revolution, but greatly aggravated by phosphorus (P) overuse or insufficient nitrogen (N) application. We also conducted a total of 320-pair plots field experiments and found an average increase of 10.5 mg kg-1 by foliar Zn application. We conclude that an integrated strategy, including not only Zn-responsive genotypes, but of a similar importance, Zn application and field N and P management, are required to harvest more grain Zn and meanwhile ensure better yield in wheat-dominant areas.Entities:
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Year: 2017 PMID: 28765540 PMCID: PMC5539200 DOI: 10.1038/s41598-017-07484-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1The gap between current wheat grain Zn and the target in global scale. Details of published data source are listed in Supplementary Table 1. The black dots indicate the averaged values and the error bars represent 95% confidence intervals. Different letters on columns indicate significant differences among medians of columns at P < 0.05 level by nonparametric test of independent samples via SPSS statistics. The green dash line indicates the target Zn concentration (40 mg kg−1) for wheat biofortification[3, 4]. The observation number of each set was shown in parenthesis.
Grain Zn concentration of wheat grown in major wheat cropping systems in China.
| Cropping system | Grain Zn concentration in wheat (mg kg−1) | |||||
|---|---|---|---|---|---|---|
| Sample number | Min | Max | Median* | Mean | CV% | |
| Wheat in semi-arid/arid area (10%) | 76 | 11.7 | 31.0 | 17.9c | 18.6 | 21.0 |
| Wheat rotated with maize (65%) | 759 | 10.1 | 49.7 | 22.4b | 23.4 | 26.1 |
| Wheat rotated with rice (20%) | 120 | 18.0 | 41.5 | 24.3a | 25.5 | 20.2 |
| Total | 955 | 10.1 | 49.7 | 22.4 | 23.3 | 26.0 |
The numbers in parenthesis represent yield proportion of each cropping system to total wheat production in China.
*Medians with the different letters indicate significantly different at P < 0.05 level by nonparametric test of independent samples via SPSS statistics.
Figure 2Measures of the “Green Revolution” including historical shift of varieties (A), N application rate (B) and elevated soil P concentration due to continuous application of P fertilizer (C) affect grain Zn in wheat grown in China. These historical varieties were grown in the same field at the North China Plain. And their grain Zn concentration (Fig. 2A), height (Supplementary Fig. 3A), and thousand kernel weight (TKW, Supplementary Fig. 3B) were shown. The variety number of each set was shown in parenthesis. For N rate (Fig. 2B and Supplementary Fig. 5A), N0, N94, N155 (optimal N rate), N211 and N300 (N rate of farmers’ practice) indicates the rates of N application at 0, 94, 155, 211 and 300 kg ha−1, respectively. The sample numbers are 32 for each N rate. Elevated soil P concentration (Fig. 2C and Supplementary Fig. 5B) is presented as Olsen-P concentration which is the most used indicator for soil P status. The sample numbers for ranges of Olsen-P in soil were shown in parenthesis. Range of solid and red dashed lines in this figure indicate median and mean, respectively. The box boundaries indicate the 75% and 25% quartiles, the whisker caps indicate 90th and 10th percentiles, and the circles indicate the 95th and 5th percentiles. Medians of columns with the different letters indicate significantly different at P < 0.05 level by nonparametric test of independent samples via SPSS statistics.
Figure 3Foliar Zn application affects grain Zn (mg kg−1) in wheat grown in three wheat cropping systems of China. (A) Linear regression between grain Zn concentration without and with foliar Zn application cross all locations from three cropping system. (B) Cropping system of wheat in semi-arid/arid area (W-S). (C) Cropping system of wheat rotated with maize (W-M). (D) Cropping system of wheat rotated with rice (W-R). Sample numbers for (B,C and D) were 48, 216 and 56, respectively. Figures 3A–D was generated by Microsoft Excel (version 2010, Microsoft Corporation, USA). The map at county scale of China (www.gadm.org) was generated by using ArcGis software (desktop vision 9.3, Esri, USA, www.esri.org). They were combined with Supplementary Fig. 1 by using Adobe Photoshop software (version 13.0.0, Adobe Systems, USA, www.adobe.com).
Figure 4Conceptual framework for an integrated strategy to harvest more grain zinc while ensuring high yield and protecting the environment.