Parameterization of the Response Function of Sesame to Drought and Salinity Stresses

In drylands, poor rains combined with high evaporation rates increase the risks of soil salinization in addition to drought stress. Here, we determined the values of the parameters in the Feddes root water uptake function for sesame (Sesamum indicum L.) under drought and salinity stresses in a pot e...

Full description

Saved in:
Bibliographic Details
Published in:Agriculture (Basel) Vol. 13; no. 8; p. 1516
Main Authors: Ebrahimian, Hamed, Fujimaki, Haruyuki, Toderich, Kristina
Format: Journal Article
Language:English
Published: Basel MDPI AG 28.07.2023
Subjects:
Agricultural production
agriculture
Analysis
arid lands
Arid zones
basins
bulk method
Cultivars
Drought
Droughts
Evaporation
Evaporation rate
inverse analysis
Inverse method
irrigation
Irrigation scheduling
Japan
Mass balance
Mathematical models
Moisture content
Moisture effects
Numerical models
Parameterization
Parameters
Response functions
Root distribution
root water uptake
Salinity
Salinity effects
Salinization
salt concentration
salt stress
Seeds
Sesamum indicum
Soil layers
Soil moisture
Soil salinity
soil salinization
Soil water
soil water content
Soils, Salts in
Solar radiation
Stresses
Transpiration
Turkmenistan
Water content
water stress
Water uptake
Weight
Turkmenistan
Japan
Uzbekistan
Aral Sea
ISSN:2077-0472, 2077-0472
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In drylands, poor rains combined with high evaporation rates increase the risks of soil salinization in addition to drought stress. Here, we determined the values of the parameters in the Feddes root water uptake function for sesame (Sesamum indicum L.) under drought and salinity stresses in a pot experiment using “Lebap-55”, which has been bred for the drylands of the Aral Sea Basin but is moderately sensitive to salinity stress. We measured the hourly values of the transpiration, soil moisture, and salinity in the upper and lower soil layers in pots, solar radiation, and root distribution. The values were quantified by two methods. The bulk method uses only daily pot weight data, and the average soil water content and salt concentration are back-calculated from the mass balance. The inverse method uses the monitored values of the soil water content and salinity as well as daily weight data and solar radiation. Both methods could successfully estimate all the parameter values for both stresses. The bulk method performed better under drought stress, even without the measured soil water content or root distribution. It also had satisfactory accuracy in estimating the values under salinity stress. Both methods performed better under drought stress than under salinity stress. The parameter values determined here could be used for irrigation scheduling and salinity management using numerical models for the studied crop.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture13081516