{"title":"Determining phosphorus adsorption isotherm in soil and its relation to soil characteristics","authors":"H. Moazed, Y. Hoseini, A. Naseri, F. Abbasi","doi":"10.3923/IJSS.2010.131.139","DOIUrl":null,"url":null,"abstract":"Phosphorus (P) adsorption characteristics of 5 soil samples were studied in soils of Omidie, Southeastern Iran, during 2009/2010 cropping season. Some soil properties as well as selected P-adsoption characteristics were studied in these soils. In this study, results show Langmuir adsorption isotherm had better match with adsorbed P data and maximum R-square. Differences in P- adsorption were greatly influenced by soil organic carbon (SOC), soil pH, exchangeable calcium and exchangeable aluminium. Regression analysis showed that SOC and Al sat were the highest predictors of Padsorption in soils of the study site. There is need for inclusion of more soil chemical, physical and mineralogical properties in predicting soil Padsorption to enhance reliability of information.","PeriodicalId":15809,"journal":{"name":"Journal of Food Agriculture & Environment","volume":"30 1","pages":"1153-1157"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Agriculture & Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3923/IJSS.2010.131.139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43
Abstract
Phosphorus (P) adsorption characteristics of 5 soil samples were studied in soils of Omidie, Southeastern Iran, during 2009/2010 cropping season. Some soil properties as well as selected P-adsoption characteristics were studied in these soils. In this study, results show Langmuir adsorption isotherm had better match with adsorbed P data and maximum R-square. Differences in P- adsorption were greatly influenced by soil organic carbon (SOC), soil pH, exchangeable calcium and exchangeable aluminium. Regression analysis showed that SOC and Al sat were the highest predictors of Padsorption in soils of the study site. There is need for inclusion of more soil chemical, physical and mineralogical properties in predicting soil Padsorption to enhance reliability of information.
期刊介绍：
The Journal of Food, Agriculture and Environment (JFAE) publishes peer-reviewed articles, original research, critical reviews or short communications in food science and technology, human nutrition, animal sciences; agricultural and environmental sciences. This journal encourages articles on interdisciplinary research in the fields of food, agriculture and environment. The core objective of this journal is to enlighten and encourage research on cutting-age themes and innovations by scientists, researchers, students, professionals, academicians, policy-makers, and stake holders. The JFAE also considers manuscripts on ethical and socio-economic issues related to modern agricultural or environmental sciences. The Journal also offers advertisement space for special announcements from, and employment opportunities within, food, agricultural and environmental organizations in public and private sectors.
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