nerc.ac.uk

Parameterization and field validation of Saltmed model for grain amaranth tested in south Italy

Pulvento, C.; Riccardi, M.; Lavini, A.; D'Andria, R.; Ragab, R. ORCID: https://orcid.org/0000-0003-2887-7616. 2015 Parameterization and field validation of Saltmed model for grain amaranth tested in south Italy. Irrigation and Drainage, 64 (1). 59-68. https://doi.org/10.1002/ird.1905

Full text not available from this repository.

Abstract/Summary

Grain amaranth is an underutilized Andean crop characterized by interesting agronomic and qualitative traits and could represent an important food source in areas with salinity and drought problems like the Mediterranean region. Knowledge of crop growth parameters allows us to parameterize simulation models that are useful tools to study the adaptability of a crop to different environmental and management conditions. In this study, the SALTMED model has been parameterized, calibrated and evaluated for grain amaranth under Mediterranean conditions, with data from a field trial conducted during 2009–2010 in South Italy. The model evaluation was made using seed yield, dry matter and soil moisture data of amaranth irrigated with saline and fresh water. The simulation results showed a high degree of precision of SALTMED in the simulation of the hydrological processes at different soil depths, crop yield and dry matter under different agricultural practices. SALTMED can be used as a useful tool to optimize grain amaranth production in the Mediterranean region.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1002/ird.1905
UKCEH and CEH Sections/Science Areas: Rees (from October 2014)
ISSN: 1531-0353
Additional Keywords: amaranth, SALTMED, parameterization, validation
NORA Subject Terms: Agriculture and Soil Science
Date made live: 08 Jun 2015 10:34 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/510961

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...