{"title":"土壤特征和农业学院当前和未来生产力的估计,Sohag大学,埃及","authors":"A. Moursy, Fatma N. Thabit","doi":"10.21608/jssae.2022.155562.1097","DOIUrl":null,"url":null,"abstract":"This study aimed to characterize the soils and estimate the current and future land productivity in a part of western Sohag desert. Fourteen soil profiles represented the area where soil samples were collected layer-wise from each. Samples were prepared and analyzed for their physico-chemical and fertility parameters using standard methods of analysis. Soil data were put in models of current and future productivity estimation. Results revealed that, study area was deep (<100cm), well drained, coarse textured, slightly to moderately calcareous (CaCO 3 =4.96% to 11.05%), slightly alkaline (pH=8.06 to 8.37), slightly to moderately saline (EC e =1.16 to 7.00 dS.m -1 ), with low moisture (>5%), organic matter (0.27% to 0.92%), and cation exchange capacity (4.7 to 15.7 cmol(+) kg -1 ). Soils were low to medium in total nitrogen (161 to 533 mg.kg -1 ), low to medium in available phosphorus (3.21 to 8.12 mg.kg -1 ) and low in available potassium (127 to 195 mg kg -1 ), available micronutrients varied between deficient and adequate for cropping requirements. The current productivity situation is extremely poor due to low agricultural activities and poverty in soil content of moisture, organic materials and clay fractions. Improvement processes should be followed such as organic fertilizers addition and dredged clay materials to the soil surface layer for enhancing the land productivity by about 15 to 17 times. The integration of soil surveying, sampling, analysis, and productivity estimation found to be an effective tool for predicting land productivity. These data can be utilized for better land use management, planning for land reclamation, and improving the agricultural productivity.","PeriodicalId":17094,"journal":{"name":"Journal of Soil Sciences and Agricultural Engineering","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Soil Characterization and Estimation of the Current and Future Productivity of the Faculty of Agriculture Farm, Sohag University, Egypt\",\"authors\":\"A. Moursy, Fatma N. Thabit\",\"doi\":\"10.21608/jssae.2022.155562.1097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to characterize the soils and estimate the current and future land productivity in a part of western Sohag desert. Fourteen soil profiles represented the area where soil samples were collected layer-wise from each. Samples were prepared and analyzed for their physico-chemical and fertility parameters using standard methods of analysis. Soil data were put in models of current and future productivity estimation. Results revealed that, study area was deep (<100cm), well drained, coarse textured, slightly to moderately calcareous (CaCO 3 =4.96% to 11.05%), slightly alkaline (pH=8.06 to 8.37), slightly to moderately saline (EC e =1.16 to 7.00 dS.m -1 ), with low moisture (>5%), organic matter (0.27% to 0.92%), and cation exchange capacity (4.7 to 15.7 cmol(+) kg -1 ). Soils were low to medium in total nitrogen (161 to 533 mg.kg -1 ), low to medium in available phosphorus (3.21 to 8.12 mg.kg -1 ) and low in available potassium (127 to 195 mg kg -1 ), available micronutrients varied between deficient and adequate for cropping requirements. The current productivity situation is extremely poor due to low agricultural activities and poverty in soil content of moisture, organic materials and clay fractions. Improvement processes should be followed such as organic fertilizers addition and dredged clay materials to the soil surface layer for enhancing the land productivity by about 15 to 17 times. The integration of soil surveying, sampling, analysis, and productivity estimation found to be an effective tool for predicting land productivity. These data can be utilized for better land use management, planning for land reclamation, and improving the agricultural productivity.\",\"PeriodicalId\":17094,\"journal\":{\"name\":\"Journal of Soil Sciences and Agricultural Engineering\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Soil Sciences and Agricultural Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21608/jssae.2022.155562.1097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Soil Sciences and Agricultural Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/jssae.2022.155562.1097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本研究旨在研究苏哈格沙漠西部部分地区的土壤特征,并估计当前和未来的土地生产力。14个土壤剖面代表了从每个剖面逐层收集土壤样本的区域。制备样品,采用标准分析方法对其理化参数和肥力参数进行分析。土壤数据被放入当前和未来生产力估算模型中。结果表明:研究区面积较深(5%),有机质含量(0.27% ~ 0.92%),阳离子交换容量(4.7 ~ 15.7 cmol(+) kg -1)。土壤全氮含量为低至中等水平(161 ~ 533 mg)。Kg -1),有效磷含量低至中等(3.21至8.12毫克)。速效钾低(127 ~ 195 mg Kg -1),速效微量元素在作物需要量不足和充足之间变化。由于农业活动少,土壤含水量、有机物质和粘土组分贫乏,目前的生产力状况非常差。在土壤表层添加有机肥和疏浚粘土材料等改良过程可使土地生产力提高约15至17倍。将土壤调查、采样、分析和生产力估算相结合,是预测土地生产力的有效工具。这些数据可用于更好的土地利用管理、土地复垦规划和提高农业生产力。
Soil Characterization and Estimation of the Current and Future Productivity of the Faculty of Agriculture Farm, Sohag University, Egypt
This study aimed to characterize the soils and estimate the current and future land productivity in a part of western Sohag desert. Fourteen soil profiles represented the area where soil samples were collected layer-wise from each. Samples were prepared and analyzed for their physico-chemical and fertility parameters using standard methods of analysis. Soil data were put in models of current and future productivity estimation. Results revealed that, study area was deep (<100cm), well drained, coarse textured, slightly to moderately calcareous (CaCO 3 =4.96% to 11.05%), slightly alkaline (pH=8.06 to 8.37), slightly to moderately saline (EC e =1.16 to 7.00 dS.m -1 ), with low moisture (>5%), organic matter (0.27% to 0.92%), and cation exchange capacity (4.7 to 15.7 cmol(+) kg -1 ). Soils were low to medium in total nitrogen (161 to 533 mg.kg -1 ), low to medium in available phosphorus (3.21 to 8.12 mg.kg -1 ) and low in available potassium (127 to 195 mg kg -1 ), available micronutrients varied between deficient and adequate for cropping requirements. The current productivity situation is extremely poor due to low agricultural activities and poverty in soil content of moisture, organic materials and clay fractions. Improvement processes should be followed such as organic fertilizers addition and dredged clay materials to the soil surface layer for enhancing the land productivity by about 15 to 17 times. The integration of soil surveying, sampling, analysis, and productivity estimation found to be an effective tool for predicting land productivity. These data can be utilized for better land use management, planning for land reclamation, and improving the agricultural productivity.