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A preliminary study of Se-rich soil in the Shizuishan area, Ningxia and its potential for application |
WANG Zhi-Qiang( ), YANG Jian-Feng( ), SHI Tian-Chi |
Geophysical and Geochemical Survey Institute of the Ningxia Hui Autonomous Region, Yinchuan 750004, China |
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Abstract Based on the statistical analysis of the Se distribution in 8,835 soil samples and 240 sets of crop-root soil samples, as well as related survey data in the Shizuishan area of Ningxia, this study summarized the element geochemical characteristics of the local Se-rich soil and explored the development and utilization prospects of the soil and related issues. The study results are as follows. ① The newly delineated Se-rich land (soil with Se content of ≥0.222×10-6; local standard of Ningxia) covers a total area of more than 1,000 km2, including more than 25% of Se-rich farmland, and the effective Se content is mostly over 10% of Se in the soil; ② The Se-rich soil has pH of greater than 7.5 and organic matter content of less than 10.26%, without heavy metal pollution. There are significant positive correlations between the Se content and the contents of organic matter, B, Mn, Mo, Cu, and Zn and a negative correlation between the Se content and pH; ③ The correlation coefficient between effective Se and Se in the soil is r = 0.39, and those between effective Se and OM, CEC, and N are 0.33 to 0.5; ④ Among the 10 types of Se-rich agricultural products (i.e., Se-rich wheat) obtained in Se-enrich soil through spot check, the wheat has been proven to have the strongest capacity to absorb Se, with an average bioconcentration coefficient of 0.12; ⑤ Since the unique Se-rich soil resources in this area is of great value in development and utilization, it is necessary to strengthen the R&D of characteristic Se-rich crops (i.e., wheat, rice, wolfberry, and grape) and the development of relevant Se-rich standards through scientific research and reasonable planning.
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Received: 26 July 2021
Published: 24 February 2023
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Corresponding Authors:
YANG Jian-Feng
E-mail: nxw12@163.com;623552149@qq.com
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Regional location (a) and distribution of Se-riched soil (b) in the study areas
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检测项目 | 检测方法 | 检出限 | 检出限要求 | 大米、 稻谷 | 脱水 蔬菜 | Pb | 石墨炉原子吸收光谱法 | 0.005 | 0.1 | 0.1 | Cd | 石墨炉原子吸收光谱法 | 0.003 | 0.10 | 0.03 | Hg | 原子荧光光谱法 | 0.0001 | 0.010 | 0.005 | As | 电感耦合等离子体质谱法 | 0.005 | 0.3 | 0.3 | Cu | 火焰原子吸收光谱法 | 0.02 | 1.0 | 1.0 | Zn | 火焰原子吸收光谱法 | 0.4 | 1.0 | 1.0 | Ni | 石墨炉原子吸收光谱法 | 0.004 | 0.1 | 0.1 | Cr | 石墨炉原子吸收光谱法 | 0.01 | 0.5 | 0.2 | F | 离子色谱法 | 0.05 | 1.0 | 1.0 | Se | 氢化物原子荧光光谱法 | 0.005 | 0.005 | 0.005 |
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Elements detected line and its testing methods for some phyto-samples10-6
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参数 | Se | Mn | Cu | Zn | Cd | Hg | As | Pb | Cr | 有机质 | pH | 最小值 | 0.018 | 4.69 | 7.44 | 0.91 | 0.03 | 0 | 2.90 | 11.40 | 2.86 | 0.06 | 6.88 | 最大值 | 1.800 | 1500.00 | 49.08 | 138.60 | 0.58 | 0.65 | 19.77 | 50.00 | 93.21 | 10.26 | 10.40 | 平均值 | 0.260 | 597.60 | 22.54 | 65.56 | 0.19 | 0.03 | 11.98 | 21.57 | 60.69 | 1.50 | 8.61 | 标准差 | 0.120 | 124.80 | 5.00 | 14.43 | 0.06 | 0.02 | 3.04 | 3.47 | 11.92 | 0.68 | 0.31 | 变异系数 | 0.46 | 0.21 | 0.22 | 0.22 | 0.31 | 0.73 | 0.25 | 0.16 | 0.20 | 0.46 | 0.04 |
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Statistics of Se and other elemental geochemical distributive parameters in soil in Shizuishan areas
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Distribution of Se-riched soil in the Shizuishan areas
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指标 | 相关系数 | | 指标 | 相关系数 | | 指标 | 相关系数 | Li | 0.803 | | N | 0.514 | | Ge | 0.256 | Mo | 0.693 | | F | 0.505 | | MgO | 0.148 | B | 0.648 | | 阳离子交换量 | 0.500 | | S | 0.119 | 有机质 | 0.642 | | Mn | 0.444 | | As | 0.069 | TFe2O3 | 0.622 | | K2O | 0.434 | | 全盐量 | -0.030 | Pb | 0.582 | | Cd | 0.398 | | CaO | -0.035 | Zn | 0.56 | | P | 0.329 | | pH | -0.382 | Cr | 0.529 | | I | 0.290 | | | | Co | 0.516 | | Hg | 0.275 | | | |
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Table of correlation between soil selenium and soil physical and chemical indexes(n=8835)
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作物 | 土壤Se | 土壤Se均值 | 土壤有效Se | 有效Se均值 | 有效度/% | 作物Se | 作物Se均值 | Se生物 富集系数 | 富硒作物 样占比/% | 玉米(40) | 0.12~0.31 | 0.252 | 0.0024~0.0268 | 0.0140 | 5.56 | 0.013~0.041 | 0.0225 | 0.089 | 2.50 | 小麦(30) | 0.10~0.48 | 0.261 | 0.0042~0.0178 | 0.0116 | 4.44 | 0.011~0.167 | 0.0453 | 0.174 | 33.33 | 稻籽(30) | 0.10~0.28 | 0.182 | 0.0045~0.0221 | 0.0127 | 6.98 | 0.011~0.076 | 0.0288 | 0.158 | 13.33 | 葡萄(20) | 0.17~0.42 | 0.272 | 0.0029~0.0196 | 0.0113 | 4.15 | 0.009~0.021 | 0.0152 | 0.056 | 40.00 | 枸杞(15) | 0.17~0.48 | 0.289 | 0.0072~0.0261 | 0.0158 | 5.47 | 0.013~0.024 | 0.0160 | 0.055 | 40.00 | 苜蓿(15) | 0.19~0.72 | 0.370 | 0.0053~0.0245 | 0.0136 | 3.68 | 0.010~0.024 | 0.0163 | 0.044 | 66.67 | 芹菜(15) | 0.22~0.34 | 0.263 | 0.0099~0.0171 | 0.0129 | 4.91 | 0.014~0.040 | 0.0213 | 0.081 | 46.67 | 西红柿(15) | 0.21~0.76 | 0.405 | 0.0019~0.0254 | 0.0116 | 2.86 | 0.008~0.020 | 0.0105 | 0.026 | 26.67 | 芥蓝(15) | 0.08~0.41 | 0.246 | 0.0043~0.0275 | 0.0109 | 4.43 | 0.009~0.032 | 0.0180 | 0.073 | 33.33 | 韭葱(15) | 0.18~0.28 | 0.254 | 0.0088~0.0212 | 0.0131 | 5.16 | 0.013~0.029 | 0.0181 | 0.071 | 46.67 |
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Se distribution of main plant foods and its cultivated soil in the Shizuishan areas
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Scatter plots of effective selenium content vs Se, SOM, CEC and N in root soil
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样号 | 粮食 | 根系土 | | Se | Cd | Hg | As | Pb | Cr | Cu | Zn | Se | Se-B | pH | SOM | 稻籽 | 0.076 | 0.0076 | 未检出 | 未检出 | 0.1870 | 未检出 | 52.1 | 25.1 | 0.24 | 0.0119 | 8.59 | 1.25 | 稻籽 | 0.050 | 0.0031 | 未检出 | 未检出 | 0.0689 | 未检出 | 53.2 | 17.4 | 0.25 | 0.0196 | 8.33 | 6.84 | 稻籽 | 0.044 | 0.0038 | 0.0034 | 未检出 | 0.0816 | 未检出 | 20.2 | 19.2 | 0.20 | 0.0116 | 7.98 | 1.31 | 稻籽 | 0.043 | 0.0022 | 未检出 | 未检出 | 0.0508 | 未检出 | 20.4 | 13.0 | 0.17 | 0.0103 | 8.17 | 1.06 | 小麦 | 0.167 | 0.0095 | 未检出 | 0.020 | 0.0214 | 未检出 | 6.52 | 20.8 | 0.24 | 0.0177 | 9.17 | 1.91 | 小麦 | 0.083 | 0.0172 | 0.0064 | 0.303 | 0.4570 | 0.2800 | 21.6 | 26.4 | 0.27 | 0.0132 | 8.56 | 2.40 | 小麦 | 0.074 | 0.0102 | 未检出 | 未检出 | 0.0179 | 0.0405 | 5.41 | 24.2 | 0.44 | 0.0178 | 8.41 | 3.49 | 小麦 | 0.073 | 0.0149 | 未检出 | 未检出 | 0.0120 | 未检出 | 5.54 | 20.2 | 0.48 | 0.0130 | 8.52 | 2.06 | 小麦 | 0.052 | 0.0111 | 未检出 | 未检出 | 0.0167 | 0.0429 | 6.40 | 21.0 | 0.27 | 0.0102 | 8.56 | 1.79 | 小麦 | 0.047 | 0.0119 | 未检出 | 未检出 | 0.0120 | 未检出 | 5.44 | 17.5 | 0.29 | 0.0131 | 8.41 | 2.28 | 小麦 | 0.045 | 0.0152 | 0.0171 | 0.0085 | 0.0509 | 0.0830 | 11.7 | 27.0 | 0.24 | 0.0119 | 8.47 | 2.06 | 小麦 | 0.044 | 0.0194 | 未检出 | 未检出 | 0.0295 | 0.0724 | 4.98 | 14.8 | 0.31 | 0.0073 | 8.72 | 1.03 | 小麦 | 0.042 | 0.0100 | 未检出 | 未检出 | 0.0166 | 0.0410 | 6.43 | 24.2 | 0.27 | 0.0110 | 8.52 | 1.97 | 小麦 | 0.040 | 0.0089 | 0.0082 | 未检出 | 0.0095 | 0.0501 | 7.11 | 17.8 | 0.35 | 0.0147 | 8.63 | 1.85 |
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Testing results of element content of some Se-riched foods and its soil samples in the Shizuishan areas
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资源属性 | 主要特征 | 代表性参数 | 影响因素或其他 | 富硒土壤分布 | 石嘴山及所属银川平原存在大片优质富硒土地,富硒土地占比超过已调查面积的67%,其中包含大面积的耕地 | 土壤Se含量范围介于(0.0018~1.8)×10-6,平均含量0.26×10-6,与全国土壤硒平均含量相当;土壤硒有效度约为5%,高于国内多数地区 | 与贺兰山煤系地层关系密切,是黄河中上游地区代表性的天然富硒土壤之一 | 产出环境 | 碱性土壤环境下的多个土类同时相对富硒,富硒土类包含灌淤土、灰钙土、盐土、潮土等,土壤Se分布不均衡 | pH>7.5,w(SOM)<10.26%,土壤Se同有效Se的相关系数r=0.39;重金属元素含量低 | 土壤Se同SOM、B、Mo、Mn、Cu、Zn、Pb、Cr等存在显著正相关性 | 与农作物关系 | 在富硒区分析稻籽、小麦、玉米、葡萄、苜蓿、芹菜等10种天然富硒作物,以小麦吸收土壤Se能力最强。粮食样品与土壤Se之间存在较显著正相关性,但其与土壤有效Se相关性却不明显 | 麦籽Se生物富集系数最高达到0.71、平均值为0.174,天然富硒小麦样品占比达到33.33% | 富硒稻米样品占比低于小麦,可能同部分抽查样品未落在真正富硒土壤区有关,土壤富硒是农作物富硒的前提或物质基础 | 利用前景或潜力 | 大面积开发利用还没有真正开始,天然富硒小麦、稻米可作为最基本的开发产品,目前的天然富硒稻米选区不够理想 | 通过调整种植规划、改良土壤,提高天然富硒稻米占比(现为13.33%) | 调整规划、优选品种、改良土壤(有机质与酸碱度等),提高富硒土壤利用效率 |
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Basic features of Se-riched soil resources in the Shizuishan areas
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