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Ghaemi, M., Astaraei, A., Sanaeinejad, S., Nassiri Mahalati, M., Emami, H. (2014). Chemical Quality Assessment of Wheat-Maize Cultivated Soils by Using Soil Quality Models in an Agricultural Region of Southeast Mashhad. , 27(4), 463-473. doi: 10.22092/ijsr.2014.126279
M. Ghaemi; A. R. Astaraei; S. H. Sanaeinejad; M. Nassiri Mahalati; H. Emami. "Chemical Quality Assessment of Wheat-Maize Cultivated Soils by Using Soil Quality Models in an Agricultural Region of Southeast Mashhad". , 27, 4, 2014, 463-473. doi: 10.22092/ijsr.2014.126279
Ghaemi, M., Astaraei, A., Sanaeinejad, S., Nassiri Mahalati, M., Emami, H. (2014). 'Chemical Quality Assessment of Wheat-Maize Cultivated Soils by Using Soil Quality Models in an Agricultural Region of Southeast Mashhad', , 27(4), pp. 463-473. doi: 10.22092/ijsr.2014.126279
Ghaemi, M., Astaraei, A., Sanaeinejad, S., Nassiri Mahalati, M., Emami, H. Chemical Quality Assessment of Wheat-Maize Cultivated Soils by Using Soil Quality Models in an Agricultural Region of Southeast Mashhad. , 2014; 27(4): 463-473. doi: 10.22092/ijsr.2014.126279

Chemical Quality Assessment of Wheat-Maize Cultivated Soils by Using Soil Quality Models in an Agricultural Region of Southeast Mashhad

پژوهش های خاک
Volume 27, Issue 4, March 2013, Pages 463-473    PDF (1.27 M)
Document Type: Research Paper
DOI: 10.22092/ijsr.2014.126279
Authors
M. Ghaemi* 1; A. R. Astaraei2; S. H. Sanaeinejad2; M. Nassiri Mahalati3; H. Emami4
1Ph.D. student, Ferdowsi University of Mashhad
2Associate Professor, Ferdowsi University of Mashhad
3Full Professor, Ferdowsi University of Mashhad
4Assistant Professor, Ferdowsi University of Mashhad
Abstract
Comprehensive evaluation of cultivated soil quality helps to achieve sustainable agriculture. Providing suitable methods for soil quality assessment is essential for management strategies to improve agricultural practices. In this regard, various models of soil quality and feature selection methods were compared to assess the soil chemical and biological quality. Twelve chemical and biological variables were considered as Total Data Set (TDS) and Minimum Data Set (MDS) were chosen by using the principal component analysis (PCA). Four combinations of methods and models for calculating quality and also the most effective indicators for assessment of soil quality and features were chosen. The linear relationships between IQITDS and IQIMDS (R2=0.883) and between NQITDS and NQIMDS (R2=0.818) indicated that IQI had better performance for soil quality assessment in the study area. IQITDS index provides more comprehensive and more accurate assessment of soil quality than other indices. However, the use of Minimum Data Set (MDS) reduces workload and costs associated with the care that is appropriate.
Keywords
Agricultural land use; Integrated Quality Index; Minimum data set; Nemoro Quality Index
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