Title : ( Effect of soil chemical properties on bio-saline production of blue panic grass (Panicum antidotale Retz.) under water-deficit and salinity stress conditions )
Authors: Hamid Reza Eshghizadeh , Mohammad Kafi , Ahmad Nezami ,Abstract
An experiment comprising two irrigation regimes (110 and 160 mm cumulative evaporation from Class A pan) and four salinity levels of irrigation water (5, 10, 20 and 30 dS/m) was conducted on bio-saline production of Panicum antidotale Retz. Results showed that the artificial neural network model could predict dry matter yield variability by 99% using soil chemical properties. The sodium content of 30-60 cm depth had the most important factor affecting dry matter production of blue panic grass. And acidity, concentration of sodium and potassium in the depth of 90-60 cm, pH in the depth of 30-60 cm and organic matter in the depth of 0-30 cm were other important factors affecting the production of dry matter. Establishment of bio-saline system in this condition had a significant effect on soil chemical properties during short time and should be paid attention for productivity, profitability and sustainability of commercial in arid zones.
Keywords
, Artificial neural networks, forage yield, salinity, sodium chloride, soil depth, water deficit@article{paperid:1031569,
author = {Eshghizadeh, Hamid Reza and Kafi, Mohammad and Nezami, Ahmad},
title = {Effect of soil chemical properties on bio-saline production of blue panic grass (Panicum antidotale Retz.) under water-deficit and salinity stress conditions},
journal = {Research on Crops},
year = {2012},
volume = {13},
number = {3},
month = {September},
issn = {0972-3226},
pages = {1039--1047},
numpages = {8},
keywords = {Artificial neural networks; forage yield; salinity; sodium chloride; soil depth; water deficit},
}
%0 Journal Article
%T Effect of soil chemical properties on bio-saline production of blue panic grass (Panicum antidotale Retz.) under water-deficit and salinity stress conditions
%A Eshghizadeh, Hamid Reza
%A Kafi, Mohammad
%A Nezami, Ahmad
%J Research on Crops
%@ 0972-3226
%D 2012