{"title":"印度炎热半干旱农业生态区不同土地利用方式下的土壤质量","authors":"D. Amara, P. L. Patil","doi":"10.15740/HAS/AJSS/9.2/158-164","DOIUrl":null,"url":null,"abstract":"Summary A study was undertaken to identify important soil quality indicators and develop soil quality index for different land uses in Singhanhalli-Bogur micro watershed of northern transition zone of Karnataka. Soil samples were collected and analyzed following standard analytical procedures. Principal component analysis (PCA) was used to select a minimum data set that best represent soil functions of the study area. Five soil quality indicators, namely clay, silt, porosity, exchangeable Mg and organic carbon were identified as the best soil attributes that represent soil functions. A high degree of correlation was observed between the soil attributes. The soil quality varied from low to high. A major portion of the study area was under medium and high soil quality but larger portion was under medium soil quality. Soil quality under forest was higher than open scrub, plantation and agriculture. The application of organic and inorganic fertilizers as well as appropriate land uses such as forestry was recommended in order to improve the soil quality of the study area.","PeriodicalId":7733,"journal":{"name":"An Asian Journal of Soil Science","volume":"25 1","pages":"158-164"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Soil quality under different land uses in hot semiarid agro-ecological region of India.\",\"authors\":\"D. Amara, P. L. Patil\",\"doi\":\"10.15740/HAS/AJSS/9.2/158-164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary A study was undertaken to identify important soil quality indicators and develop soil quality index for different land uses in Singhanhalli-Bogur micro watershed of northern transition zone of Karnataka. Soil samples were collected and analyzed following standard analytical procedures. Principal component analysis (PCA) was used to select a minimum data set that best represent soil functions of the study area. Five soil quality indicators, namely clay, silt, porosity, exchangeable Mg and organic carbon were identified as the best soil attributes that represent soil functions. A high degree of correlation was observed between the soil attributes. The soil quality varied from low to high. A major portion of the study area was under medium and high soil quality but larger portion was under medium soil quality. Soil quality under forest was higher than open scrub, plantation and agriculture. The application of organic and inorganic fertilizers as well as appropriate land uses such as forestry was recommended in order to improve the soil quality of the study area.\",\"PeriodicalId\":7733,\"journal\":{\"name\":\"An Asian Journal of Soil Science\",\"volume\":\"25 1\",\"pages\":\"158-164\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"An Asian Journal of Soil Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15740/HAS/AJSS/9.2/158-164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"An Asian Journal of Soil Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15740/HAS/AJSS/9.2/158-164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Soil quality under different land uses in hot semiarid agro-ecological region of India.
Summary A study was undertaken to identify important soil quality indicators and develop soil quality index for different land uses in Singhanhalli-Bogur micro watershed of northern transition zone of Karnataka. Soil samples were collected and analyzed following standard analytical procedures. Principal component analysis (PCA) was used to select a minimum data set that best represent soil functions of the study area. Five soil quality indicators, namely clay, silt, porosity, exchangeable Mg and organic carbon were identified as the best soil attributes that represent soil functions. A high degree of correlation was observed between the soil attributes. The soil quality varied from low to high. A major portion of the study area was under medium and high soil quality but larger portion was under medium soil quality. Soil quality under forest was higher than open scrub, plantation and agriculture. The application of organic and inorganic fertilizers as well as appropriate land uses such as forestry was recommended in order to improve the soil quality of the study area.