Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

---

Little information is available about Soil Quality (SQ) in Iran, especially in saffron [Crocus sativus (L.) Iridaceae] fields. The objectives of this research were to: (i) Establish a Minimum Data Set (MDS) for quantifying soil quality in saffron fields; (ii) Evaluate soil quality status using two indices of Integrated Quality Index (IQI) and Nemoro Quality Index (NQI), and (iii) Investigate the relationship between soil quality and the economics of saffron production. Thirty soil samples were collected from the Ghayen area of South Khorasan, Iran, and analyzed for soil physical and chemical properties. Principal Component Analysis (PCA) was used to identify a Minimum Data Set (MDS) consisting of sand, Relative Field Capacity (RFC), zinc, SAR, Ca, CaCO₃, Fe and Bulk Density (BD). Soil Quality was evaluated using the IQI and the NQI for both the Total Data Set (TDS), and MDS. Four SQ indices i.e., IQI_TDS, IQI_MDS, NQI_TDS, and NQI_MDS were used to evaluate soil quality in saffron fields in the study area. A significant correlation (P< 0.05) was shown between the IQI_TDS (r= 0.44), NQI_TDS (r= 0.41) and economic yield of saffron. Correlation analysis indicated that the IQI_TDS performed better compared to the NQI_TDS for evaluating the soil quality. Use of the TDS with the IQI index was the most effective approach for evaluating SQ in saffron fields.

Keywords: Economic yield, Integrated quality index, Minimum data set, Nemoro quality index

Full-Text [PDF 182 kb]   (11891 Downloads)    

Add your comments about this article : Your username or Email:

---