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首页> 外文期刊>Journal of Science and Technology of Agriculture and Natural Resources >Status and Modeling of Zn in Wheat Grain in Relation to Agroecosystem Parameters of Some Arid and Semi Arid Regions
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Status and Modeling of Zn in Wheat Grain in Relation to Agroecosystem Parameters of Some Arid and Semi Arid Regions

机译:干旱和半干旱地区小麦籽粒中锌的含量及其与农业生态系统参数的关系

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Zinc (Zn) is an essential trace element for plants as well as for animals and humans. There is a significant relationship between soils, plants and humans Zn status in a certain agro-ecosystem. The objectives of this study were to assess Zn status of soils in 3 arid and semiarid provinces of Iran and to model the relationship between wheat grain Zn and agro-ecosystem parameters. About 137 soil and wheat samples were collected randomly from the agricultural soils of Fars, Isfahan and Qom and were analysed in laboratory. Modeling the relationship between wheat grain Zn and agro-ecosystem parameters was done using least square based and robust methods. The results indicated that total Zn concentration of soils (range, 21-149 mg kg-1 mean, 75.2 mg kg-1) was in normal ranges. The DTPA-extractable Zn concentrations were below the critical level (0.8 mg kg-1) in 16% of the surveyed fields. The Zn concentration in 80% of wheat grains was sufficient (more than 24 mg kg-1) with respect to plant nutrition (range, 11.7-64 mg kg-1 mean, 31.6 mg kg-1). However, Zn bioavailability for consumers was generally low in more than 75% of the samples. This is because of high phytic acid to Zn molar ratio (more than 15). Soil DTPA-extractable Zn and available P were entered in to most of regression models significantly. Regression analysis showed that most of models fitted to wheat grain Zn concentration and soil Zn and influenced by agro-ecosystem parameters had a weak prediction power, despite their high determination coefficient. This means that factors other than those considered here have a strong influence on the uptake of Zn by wheat in these soils. Keywords: Agro-ecosystem, Zn, Wheat, Modeling. Full-Text Type of Study: Research | Subject: Ggeneral Received: 2011/04/23 | Accepted: 2012/08/13 | Published: 2013/09/16 Related Websites Scientific Publications Commission - Health Ministry Scientific Publications Commission - Science Ministry Yektaweb Company Site Keywords ?????, Academic Journal, Scientific Article, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ?? Vote ? 2015 All Rights Reserved | JWSS - Isfahan University of Technology
机译:锌是植物以及动物和人类必需的微量元素。在特定的农业生态系统中,土壤,植物与人类锌的状况之间存在显着的关系。这项研究的目的是评估伊朗3个干旱和半干旱省土壤的锌状况,并模拟小麦籽粒锌与农业生态系统参数之间的关系。从Fars,Isfahan和Qom的农业土壤中随机采集了大约137​​个土壤和小麦样品,并在实验室中进行了分析。使用基于最小二乘的稳健方法对小麦籽粒锌与农业生态系统参数之间的关系进行了建模。结果表明,土壤的总锌浓度(正常范围为21-149 mg kg-1,平均为75.2 mg kg-1)。在16%的调查田中,可通过DTPA提取的Zn浓度低于临界水平(0.8 mg kg-1)。相对于植物营养(范围11.7-64 mg kg-1平均,31.6 mg kg-1),80%小麦籽粒中的锌浓度足够(大于24 mg kg-1)。但是,超过75%的样品对消费者的锌生物利用度普遍较低。这是因为植酸与锌的摩尔比较高(大于15)。将土壤DTPA可提取的Zn和有效磷显着输入大多数回归模型中。回归分析表明,尽管模型的测定系数较高,但大多数拟合于小麦籽粒锌浓度和土壤锌且受农业生态系统参数影响的模型的预测能力较弱。这意味着,除此处考虑的因素外,其他因素均对这些土壤中小麦对锌的吸收有很大影响。关键字:农业生态系统,锌,小麦,建模。全文研究类型:研究|主题:一般接收时间:2011/04/23 |接受:2012/08/13 |发布:2013/09/16相关网站科学出版物委员会-卫生部科学出版物委员会-科学部Yektaweb公司网站关键字??????,Academic Journal,Scientific Article,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ??投票吗? 2015版权所有| JWSS-伊斯法罕工业大学

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