机构地区:[1]山西农业大学农学院,山西晋中030801 [2]安徽科技学院长三角功能农业(食品)研究院,安徽滁州239000 [3]安徽科技学院功能农业与功能食品安徽省重点实验室,安徽滁州239000 [4]百色市农牧渔技术推广中心,广西百色533099 [5]安徽科技学院资源与环境学院,安徽滁州233100 [6]宜春学院生命科学与资源环境学院,江西宜春336000 [7]苏州科技大学环境科学与工程学院,江苏苏州215009 [8]苏州硒谷科技有限公司/江苏省硒生物工程技术研究中心,江苏苏州215123 [9]南京恒宝田功能农业产业研究院/国家粮食产业(功能稻米)技术创新中心,江苏南京210008 [10]中国科学技术大学地球和空间科学学院,安徽合肥230026
出 处:《山西农业大学学报(自然科学版)》2025年第2期102-112,共11页Journal of Shanxi Agricultural University(Natural Science Edition)
基 金:2020年南京市浦口区万亩核心生产示范基地功能农业目的的资源调查项目(FAST-HBT-202002);2020年宁夏中卫市富硒功能农产品技术标准制定及硒资源和质量评价服务项目(FAST-HBT-202005);食品原料硒生物营养定量强化与硒蛋白制备技术开发(2022JBGS-FXSP01-02);富硒产品硒形态检测技术研究及功能成分检测平台建设(2020QFY09-09)。
摘 要:[目的]探究余家湾万亩水稻基地的土壤-稻米系统中硒(Se)的空间分布特征、稻米中Se形态组成特征及其影响因素,可为余家湾地区富Se稻米的开发及高效利用土壤中Se元素提供研究基础。[方法]采集余家湾万亩水稻基地75组耕地表层土壤样品与对应稻米样品,检测土壤与稻米中Se、钙(Ca)、铁(Fe)、锌(Zn)等12种矿质元素的含量,以探讨Se与土壤中其它矿质元素关系,并通过ArcGIS空间分析、相关性分析等方法探究Se的空间分布特征及其影响因素。[结果]土壤总Se含量为35~350μg/kg,均值200μg/kg;土壤有效Se含量为19~44μg/kg,均值为28μg/kg。稻米总Se含量为13~96μg/kg,均值为31μg/kg;稻米硒代蛋氨酸(SeMet)含量最高,占总Se含量的64%~96%,平均为88%;硒代胱氨酸(SeCys_(2))占总Se含量的0%~22%,平均为5%;土壤有效Se与稻米中钾(K)、Ca含量均呈显著正相关,相关系数r值分别为0.77和0.72(P<0.01),与稻米硼(B)含量呈正相关,相关系数r值为0.64(P<0.05);稻米中Se含量与土壤Ca含量之间存在显著正相关关系,相关系数r值为0.63(P<0.05),且稻米中SeMet含量与土壤Ca含量存在正相关,相关系数R^(2)=0.3777(P<0.05)。[结论]该研究区域整体上处于足Se水平,有效Se占比与恩施地区基本一致,潜在富Se能力强,虽籼稻比粳稻更易富Se,但稻米Se含量总体较低;影响土壤-稻米系统Se的分布主要与人类活动与元素互作等因素有关;Ca为无机Se转化为有机Se供能,以此来增加稻米中有机硒的含量。[Objective]By exploring the spatial distribution characteristics of selenium(Se)content in the soil-rice system in Yuji-awan 10000 mu rice base,the morphological composition characteristics of Se in rice and its influencing factors,we hope to provide a research basis for the development of Se-rich rice in Yujiawan area and the efficient utilization of Se elements in soil.[Methods]The surface soil samples of 75 groups of cultivated land and corresponding rice samples were collected from Yuji-awan 10,000 mu rice base,and the contents of 12 mineral elements such as Se,calcium(Ca),iron(Fe)and zinc(Zn)in soil and rice were detected to explore the relationship between Se and other mineral elements in the soil,and the spatial distribution characteristics of Se and its influencing factors were explored by ArcGIS spatial analysis and correlation analysis.[Results]The total Se content in soil ranged from 35~350μg/kg,and the average value was 200μg/kg.The soil available Se content ranged from 19~44μg/kg,and the average value was 28μg/kg.The total Se content of rice ranged from 13~96μg/kg,with an average value of 31μg/kg.The content of selenomethionine(SeMet)in rice is the highest,accounting for 64%~96%of total Se content,with an average of 88%;SeCys_(2) accounts for 0%~22%of the total Se content,with an average of 5%.There was a significant positive correlation between soil available Se and the contents of potassium(K)and Ca in rice,and the correlation coefficients were 0.77 and 0.72(P<0.01),respectively,which were positively correlated with the boron(B)content of rice,and the correlation coefficient r=0.64(P<0.05),and there was a significant positive correlation between Se content and soil Ca content in rice,with a correlation coefficient r=0.63(P<0.05),and the content of SeMet in rice was positively correlated with soil Ca content,and the correlation coefficient R^(2)=0.3777(P<0.05).[Conclusion]The study area was generally at the level of sufficient Se,and the proportion of available Se was basically the same as tha
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