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Key informant interview data to identify soil characteristics of the study villages, Punjab

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Key informant interview data to identify soil characteristics of the study villages, Punjab
 
Identifier https://hdl.handle.net/11529/10548904
 
Creator Krishna, Vijesh
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description This survey was done in 122 villages of Punjab, as part of the SPIA-funded project on the impact of Conservation Agriculture (CA), particularly the impact of Happy Seeder technology, on yield and residue burning. During the exploratory surveys, we found that the adoption of CA depends on the soil structure. To identify the soil characteristics, our team of enumerators interviewed 2-3 knowledgeable people per sample village. The participants were asked to draw the map of village and mark the regions with clayey / loamy / sandy soils and with saline / sodic soils within the village boundaries using an A3-size graph sheet. From this graph sheet the percentage of cultivated area under different soil types and salinity / sodicity were calculated.
 
Subject Agricultural Sciences
Social Sciences
Wheat
Sustainable agriculture
Tillage
Soil investigations
 
Language English
 
Date 2024-03-21
 
Contributor Krishna, Vijesh
Kesavanath Sreekumar
 
Type Dataset