长江流域资源与环境 >> 2025, Vol. 34 >> Issue (1): 155-165.doi: 10.11870/cjlyzyyhj202501012

• 自然资源 • 上一篇    下一篇

临澧县稻田土壤硒、水稻硒空间分布及其影响因素

宁驰1,周雨舟1,黄志先2,徐章倩1,周卫军1*,刘瑞1,商贵铎3   

  1. (1.湖南农业大学资源学院,湖南 长沙410128;2.临澧县农业农村局, 湖南 常德 415200;3.广西特色作物研究院,广西 桂林 541004)
  • 出版日期:2025-01-20 发布日期:2025-01-24

Spatial Distribution of Soil Selenium and Rice Selenium and Influencing Factors of Paddy Soils in Linli County, China

NING Chi1, ZHOU Yu-zhou1, HUANG Zhi-xian2, XU Zhang-qian1, ZHOU Wei-jun1, LIU Rui1, SHANG Gui-duo3   

  1. (1.Hunan Agricultural University, Changsha 410128, China; 2.Linli County Agriculture and Rural Bureau, Changde 415200, China; 3.Guangxi Academy of Specialty Crops, Guilin 541004, China)
  • Online:2025-01-20 Published:2025-01-24

摘要: 探明硒(Se)在水稻—土壤系统中的分布、吸收、富集及影响因素,对区域发展特色富硒产品具有重要意义。采集并测定542组稻田土壤—水稻样本,结合普通克里金插值、冷热点分析、相关性分析和随机森林模型等方法,研究了临澧县稻田土壤—水稻系统中硒的分布与富集特征及规律,并解析了成土母质、土壤理化学性质(SOM,CEC和pH)、必需微量元素(Cu,Zn)、气候因素(温度、降水量与湿度)与土壤Se、稻米Se和富集因子(BCF)的关系。结果表明:(1)临澧县稻田土壤Se含量均值(0.76 mg/kg)比中国背景土壤水平(0.29 mg/kg)高2.6倍,比全球平均背景土壤水平(0.40 mg/kg)高1.9倍。稻米Se含量均值(0.15 mg/kg)比富硒稻米Se含量的最低允许含量(0.04 mg/kg)高3.75倍。(2)土壤Se、稻米Se与BCF的Moran's I指数分别为 0.32、0.28和0.13,空间自相关性程度为中等,受空间结构因素和随机因素共同影响。(3)不同母质发育的稻田土壤Se含量有显著差异(p<0.05);而稻米Se含量与BCF无显著差异。随机森林模型结果表明降水量、湿度与SOM是稻田土壤Se含量的主要影响因子;湿度、降水量、稻米Cu与气温是稻米Se的主要预测因子;CEC、降水量、湿度与SOM是BCF的主要预测因子(p<0.05)。临澧县稻田土壤Se含量较高,有利于富硒农产品的开发,可基于成土母质、SOM和CEC等因子调控水稻对Se的富集能力,提高富硒农产品经济效益。

Abstract: Exploring the distribution, uptake, enrichment and influencing factors of selenium (Se) in the rice-soil system is of great significance for the regional development of specialty Se-enriched products.In this study, 542 sets of paddy soil-rice samples were collected and measured.Combined with ordinary Kriging interpolation, cold hot pots analysis, correlation analysis and random forest model methods, the distribution and enrichment characteristics and patterns of Se in paddy soil-rice systems in Linli County were investigated.The relationships were analyzed between parent material, soil physicochemical properties (SOM, CEC and pH), essential micronutrients (Cu and Zn), climatic factors (temperature, precipitation and humidity) and soil Se content, rice Se content and BCF.The results showed that: (1)The mean value of Se content in paddy soil in Linli County (0.76 mg/kg) was 2.6 times higher than the background soil level in China (0.29 mg/kg) and 1.9 times higher than the global average background soil level (0.40 mg/kg).The mean value of rice Se content (0.15 mg/kg) was 3.75 times higher than the minimum allowable level of Se content in selenium-enriched rice (0.04 mg/kg).(2)The Moran's I indexes of soil Se, rice Se and BCF were 0.32, 0.28 and 0.13, respectively, with a moderate degree of spatial autocorrelation, which was influenced by both spatial structure factors and random factors.(3)There was a significant difference in the Se content of paddy soils developed from different parent material (p<0.05), while there was no significant difference between rice Se content and BCF.The results of the random forest model indicated that precipitation, humidity and SOM were the main influencing factors on the Se content of paddy soil, while humidity, precipitation, rice Cu and temperature were the main predictors of rice Se content; CEC, precipitation, humidity and SOM were the main predictors of BCF (p<0.05).The high soil Se content in paddy fields in Linli County was conducive to the development of Se-rich agricultural products.The Se enrichment ability of rice could be regulated based on factors such as parent material, SOM and CEC, which may improve the economic benefits of Se-rich agricultural products.

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