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Title Assessment of land production potential for barley using geographic information system (GIS) method
Author Shahram Ashraf, Vahid Ashraf, Hossein Abbaspour
The objective of this study is to assess a GIS-based model for barley production potential in Damghan plain of Iran.The assessment of Land Production Potential for barley, Using Geographic Information System method was used on the crop requirements, climatic and soil properties which will allow the prediction of crop  yield. Integrating a crop growth model with GIS allowed studying the variability of barley production potential in different conditions at a regional scale. Regarding to FAO model, the estimated LPP values for the studied area varied between 353 to 5278 kg.ha-1
respectively. This study shows  that the average farmers' yield was higher than  the calculated LPP values by GIS method. The computed values of net biomass production and yield showed that the barley production potential was almost suitable in Damghan plain. One notable limitation for this method is that it requires an accurate assessment of effective parameters on crop yield.
1.Ashraf Shahram (2011) Estimating the Land production 
potential for wheat, using GIS method. Aus. J. Basic & Appl. 
Sci. 5 (8), 118-122.
2.Ashraf Shahram and Normohammadan B (2011) 
Comparing FAO methods to estimate wheat productivity 
potential in Damghan plain of Iran.  J. World Appl. Sci. 13 
(8), 1787-1792.
3.Daroussijn Ngongol, King D, Delcollre and Vossen P (1993) 
Coupling ARC/INFO with a crop model (Maize) for 
assessing physical potential over the Ecs. Proc. of the 8th 
Europealr Arc/info User Conference 1993, Greece. 
4.De wit CT and Van Keulen H (1987) Modelling production of 
field crops and its requirements. Geoderma. 40, 253-265.
5.FA0 (1978) Report 011 the agro-ecologicd zones project. 
Vol.1. Methodology and results for Africa. World Resources. 
pp: 158.
6.FA0  (1987) FAO-UNESCO Soil A4up of the World. 
Amended Fourth Dr & Soil Resources. pp: 127.
7.FA0 (1990) FAO-UNESCO Soi1 Map of the World. Revised 
Legend. World Soil Resources. pp: 119.
8.Sailesh Samanta, Dilip Kumar Pal, Debasish Lohar and 
Babita Pal (2011) Preparation of digital data sets on land 
use/land cover, soil and digital elevation model for 
temperature modelling using Remote Sensing and GIS 
techniques. Indian J.Sci.Technol. 4 (6), 636-642. Domain 
9.Shahram Ashraf, Hossein Afshari, Ruzana Munokyan and 
Abdol Ghaffar Ebadi (2010) Multicriteria land suitability 
evaluation for barley by using GIS in Damghan plain.  J. 
Food Agri. & Environ. 8 (3 & 4), 626-628.
10.Shahram Ashraf, Ruzanna Manoukyan, Shamsollah 
Ayoubi and Hossein Abbaspour (2011) Study of variability 
of some map unit properties and incorporating FAO 
method and GIS techniques in land suitability evaluation 
for barley. Indian J.Sci.Technol. 4 (11),  1573-1577. 
Domain site:
11.Sys C, Vanranst E and Debaveyej (1991) Land 
evaluation. Part 11: In: Methods in land evaluation. Agric. 
Pl & No 7 (revised), ABOS, Brussels. pp: 247.
12.Sys C, Vanranst E, Debaveyje and Beernaerft (1993) 
Land evaluation. Part III: Crop requirements." Agric. Pub/. 
No 7 (revised), ABOS, Brussels pp: 191.
13.Tang H, Vanranst E and Sys C (1992) An approach to 
predict land production potential for irrigated and rainfed 
winter wheat in Pinan County, China.  Soil Technol.  5, 
14.Thomassoan J and Jonesr JA (1991) An empirical 
approach to crop modelling and the assessment of land 
productivity.  Agric. Systenls 37. Elsevier Sci. Publ. Ltd.
Keywords Geographic Information System, Land Production Potential, FAO, AEZ
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