KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/25648
Title: | Soil quality indicators under continuous cropping systems in the arid ecosystem of India |
Other Titles: | Not Available |
Authors: | Nishant K Sinha, M Mohanty, Bharat P Meena, Hiranmoy Das, Usha K Chopra, Anil K Singh |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Soil Science |
Published/ Complete Date: | 2014-08-01 |
Project Code: | Not Available |
Keywords: | Cropping system, soil quality, soil quality index, soil physical indicator, soil chemical indicator, and soil biological indicator |
Publisher: | Academic Journals |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Effect of cropping systems (CS) on the soil quality (SQ) and its determinants was assessed for the clay loam soil of Hisar, India. Collected surface soil samples were analyzed for four physical indicators viz. bulk density (BD), saturated hydraulic conductivity (SHC), porosity and mean weight diameter (MWD) seven chemical indicators viz. pH, electrical conductivity (EC), organic carbon (OC), nitrate nitrogen (NO3-N), ammoniacal nitrogen (NH4-N), available phosphorous (AV-P) and available potassium (AV-K) and two biological indicators viz. dehydrogenase activity (DA) and microbial biomass carbon (MBC). Correlation analysis of the 13 soil attributes representing soil physical, chemical, and biological parameters resulted in a significant correlation in twelve (P < 0.01) and nine (P < 0.05) attribute pairs out of the 47 soil attribute pairs. Each SQ indicator was compared with its value under different CS using Duncan Multiple Range Test (DMRT). The results indicated that, the soil properties such as BD, MWD, Av-P, Av-K, and DA were greatly influenced by the components of each CS. The adverse impact of CS on the SQ indicators resulted in deterioration of SQ. Evaluation of SQ using soil quality index (SQI) under CS showed that, SQ was better in T2 (Cotton-wheat-fallow) and T5 (Greengram-mustard+kasni) compared to other. The CS that exhibited negative impacts on SQ should be discouraged for long-term cultivation to maintain good soil health for sustainable agricultural production. Value of SQI was positively and significantly correlated (R2 = 0.50, P < 0.01) with wheat equivalent yield for all the CS. This implies that, the index may have practical utility for quantifying the SQ. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | African Journal of Agricultural Research |
NAAS Rating: | Not Available |
Volume No.: | Volume 9 Issue 2 |
Page Number: | 285-293 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | https://academicjournals.org/journal/AJAR/article-full-text-pdf/EB90EB442640 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/25648 |
Appears in Collections: | NRM-IISS-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.