Angelides, M. and Angelides, M.C. 2000. Using multimedia database information systems over the internet for enhancing the planning process for dealing with the built heritage International Journal Of Information Management, 20: 349-367.
Araya, A., Habtu, S., Hadgu, K.M., Kebede, A. and Dejene, T., 2010b. Test of AquaCrop model in simulating biomass and yield of water deficient and irrigated barley (Hordeum vulgare). Agricultural Water Management 97, 1838–۱۸۴۶٫
Araya, A.,Keesstra, L. and Stroosnijder, L. 2010a. Simulating yield response to water of Teff (Eragrostistef) with FAO’s AquaCrop model. Agric. Water. Manage (in press). 116.196-204.
Arora,V.K., Singh, H. and Singh, B. 2007. Analyzing wheat productivity responses to climatic, irrigation and fertilizer-nitrogen regimes in a semi-arid subtropical environment using the Ceres-Wheat model. Agricultural Water Management, 94: 22-30.
Ashraf, S. 2011. Land suitability evaluation for irrigated barley in Damghan plain , Iran . Indian J. Sci . Technol . 4 : 1182-1187.
Ashraf, S., Munokyanm, R., Normohammadan, B. and Babaei, A . 2010 . Qualitaive land suitability evaluation for growth of wheat in northeast of Iran . Res . J . Biol . Sci . 5 .548-552 .
Ayoubi, Sh. and Jalaian, A. 2006. Land Evaluation (Agriculture and Natural Resources) Isfahan University Of Technology , 369 pp . (In Farsi)
Bagli, S., Terres, J M ., Gallego, J., Annoni, A . and Dallemand, J. f . 2003. Agro-Pedo – Climatological Zoning of Italy, EUROPEAN COMMISSION DIRECTORATE GENERAL JOINAT RESEARCH - ISPRA.
Baier, W. and j. Domanski. 1991. Agroclimatic guidelines for the evaluation of sustainable land management. In: Evaluation of sustainable Management in the Developing World, vol. 2. Technical Paper, IBSRAM Proceedings 12, PP: 49-87.
Bandry, J., Thenail, C. 2004. Interaction between farming system, riparian zones, and landscape patterns: A case study in western France. Landscape and Urban Planning. 67:121-129.
Bang, M. P., Hammer,G. L. and Rickert,K. G. 1998. Temperature and sowing date affect the linear increase o fsunflower harvest index. Agronomy Journal. 90:324-328.
Bannayan, M., Eyshi Rezaei, E. and Hoogenboom, G., 2013. Determining optimum planting dates for rainfed wheat using the precipitation uncertainty model and adjusted crop evapotranspiration. Agric. Water. Manage. 126, 56-63.
Batchelor, W., Bruno, B. and Paz, J,O. 2003. Examples of strategies to analyze spatial and temporal yield variability using crop models.Europeam Journal of Agronomy, 18: 141-158.
Becker, M. and D.E. Johnson, 1999.Rice yield and productivity gaps in irrigated systems of the forest zone of Coأte d’Ivoire. Field Crops Research 60: 201-208
Belcher, K. W., Boehm, M.M. and Fulton, M.E. 2004.Agroecosystem sustainability: a system simulation model approach. Agricultural Systems, 79(2): 225-241.
Bell, M. A. and R.A. Fischer.1994. Using yield prediction models to assess yield gains: a case study for wheat. Field Crops Res.36: 161-166.
Benlhabib, O., Atifi, M., Jellen, E.N. and Jacobsen, S.-E., 2004. The introduction of a newperuvian crop quinoa to a rural community in Morocco. In: Proceedings of theVIIIth European Society of Agronomy Meeting Copenhagen, Denmark, 11–۱۵July, pp. 881–۸۸۲٫
Bertero, H.D., 2001. Effects of photoperiod, temperature and radiation on the rate ofleaf appearance in quinoa (Chenopodium quinoa Willd.) under field conditions.Ann. Bot. 87, 495502.
Bertero, H.D., de la Vega, A.J., Correa, G., Jacobsen, S.E. and Mujica, A., 2004. Genotypeand genotype-by-environment interaction effects for grain yield and grain sizeof quinoa(Chenopodium quinoa Willd.) as revealed by pattern analysis ofinternational multi-environment trials. Field Crops Res. 89, 299–۳۱۸٫
Bertero, H.D., King, R.W. and Hall, A.J., 1999a. Photoperiod-sensitive developmentphases inquinoa (Chenopodium quinoa Willd.). Field Crops Res. 60, 231–۲۴۳٫
Bertero, H.D., King, R.W. and Hall, A.J., 1999b. Modelling photoperiod and temperatureresponses of flowering in quinoa (Chenopodium quinoa Willd.). Field Crops Res.63, 19–۳۴٫
Bhargava, A., Shukla, S. and Ohri, D., 2006. Chenopodium quinoa—an Indian perspective. Ind. Crops Prod. 23, 73–۸۷٫
Bhatia, V.S., Singh,P., Wani, S.P., Chauhan,G.S., Rao,A.V.R, Mishra,A.K. and Srinivas, K. 2008. Analysis of potential yields and yield gaps of rainfed soybean in India using CROPGRO-Soybean model. Agricultural and Forest Meteorology 148: 1252–۱۲۶۵٫
Blum, A. 2009. Effective use of water (EUW) and not water–use efficiency (WUE) is the target of crop yield improvement under drought stress. Field Crops Res. 112, 119-123
Bois, J.F., Winkel, T., Lhomme, J.P., Raffaillac, J.P. and Rocheteau, A. 2006. Response ofsome Andean cultivars of quinoa (Chenopodium quinoa Willd.) to temperature:effects on germination, phenology, growth and freezing. Eur Jornal Agronomy. 25, 299–۳۰۸٫
Bonari, E., Vannozzi,G.P.,Benvenuti,A. and Baldini, M. 1992 .Modern spects of sunflower cultivation techniques . Proc . 13th , Sunflower Conf. Pisa . Italy .
Boogaard, H., Van Diepen, C., Roetter, R., Cabrera, J. and Van Laar, H. 1998. WOFOST 7.1 Users guide for the WOFOST 7.1 crop growth simulation model and WOFOST control center 1.5.SC-DLO, IRRI, Wageningen, pp144.
Boogaard, H., Wolf, J., Supit, I., Niemeyer, S. and Van Ittersum, M. 2013. A regional implementation of WOFOST for calculating yield gaps of autumn-sown wheat across the European Union. Field Crops Research 143: 130-142.
Boogaard, H.L., van Diepen,C.A., Rِtter,R. P., Cabrera, and van Laar, H.H. 1998. User’s Guide for the WOFOST 7.1 Crop Growth Simulation Model and WOFOST Control Center 1.5. DLO-Winand Staring Centre, Wageningen, Technical Document 52.
Boote, K. J., Jones,J. W. and Singh, P.1991. Modeling growth and yield of Ground- nut: state of art..In groundnut: A global perspective: Proc. Int, workshop20-25 Nov, 1991. Patancheru, India. ICRISAT, Patancheru, AP. India. Pp: 331-343.
Boote, K.J., and Tollenaar, M., 1994. Modeling yield potential. In: Boote, K.J., Bennett, J.M., Sinclair, T.R.,Paulsen, G.M. (Eds.), Physiology and Determination of Crop Yield. American Society of Agronomy, Madison, WI, USA, pp. 553–۵۶۵٫
Borrough, P.A. and McDonnell, R.A. 1998. Principles of geographical information systems. Oxford University Press, Oxford.
Bouma, B. A. M. and etal (Eds). Agroecological zonation, characterization and optimization of rice- based cropping systems. SARP Research Proceeding, Wageningen and Los Banos, pp 1-8.
Bouman, J. Jones,W. and Vanlaar, H. H. (Eds). Kluwer Academic Publishers, Dordrecht, the Netherlands, pp: 101-112.
Bouman, B. A. M. and Lansigan, F.P. 1994. Agroecological zonation and characterization.In; Boman, B.A.M., et al. (Eds.) Agroecological zonation, characterization and optimization of rice-based cropping systems. SARP Research Proceedings, Wageningen and Los Banos, pp. 1-8.
Bouman, B.A.M. 1994. A framework to deal with uncertainty in soil and management parameters in crop yieldsimulation: A case study for rice. Agricultural Systems, 46: 1-12.
Bouman, B.A. M. and Lansigan,F. P. 1994. Agroecological zonation and characterization.In:
Boyer,J.S.1995.Biochemical and biophysical aspect of water deficits and the predisposition to disease.Annu.Rev.Plant phytopathol.33:251-27.
Bunting, A.H. 1968. Agroclimatology and agriculture. In: Agroclimatologiceel Methods UNESCO, paris, pp:361-366.
Burrough , P. A. 1993. Principles of Geographical Information Systems For Land resources AssEssment “ , Oxford , Clarendon , 333 pp .
Caldis, D.O., Gaspari, F.J., Haverkort, A.J. and Struik, P.L. 2001. Agro-Ecological Zoning and potential yield of single or double cropping of potato in Argentina. Agricultural, and Forest Metorology, 109: 311-320.
Caldis, D.O., Gaspari. F.J., Haverkort, A.J. and Struik, P.L. 2OO2. Agro- Ecological Zoning at the regional level: Spaio-Temporal variation in potential yield of potato crop in the Argentiniapatagonia.Agriculture, Ecosystems and Environment, 88: 3-10.
Carlos, M. F., Carlos, S., Lannac, A. C. and Freitas, J. A. 2005 . WandereConference on Internaional Agricultural Research for Development , October 11-13 .
Ceballos, s. and Lopez-Blanco, J . (2003) Delineation of suitable areas for crops using a multi – criteria evaluation approach and use/cover mapping . a case study in Central Mexico , Agricultur System , 77:117-136 .
Chapman, L. and Thorenes, J. 2001. The use of geographical information systems in climatology and meteorology.Metorological Application, 8: 1-24.
Charles-Edwards, D.A. 1982. Physiological determinate of a crop Growth. Academic Press Australia, North Ryde, NSW, 161 Pages.
Chen, F.W., Liu, C.W. 2012.Estiimating of the spatial rainfall distribution using inversedistance weighting ( IDW) in the middle of Taiwan . Paddy Water Environment. 10(3) 209-222.
Chen, H.S., Liu, G.S., Yang, Y.F., Ye, X.F. and Shi, Z. 2010. Comprehensive evaluation of tobacco ecological suitability of Henan province based on GIS. Agri. Sci. China. 9:583-592.
Chipanshi, A.C., Ripley,E.A. and Lawford,R. G. 1999. Large-scale simulation of wheat yield in a semi- arid environment using a crop-growth model. Agricultural Systems 59: 57-66.
Clavino, P., and Sardas, V.2002.On-farm assessment of constraints to wheat yield in the south-eastern Pampas. Field Crops Res.74: 1-11.
Corra, D. R., Mina, N. L.and Shirvan, P. L. 1996. Effect of weed control and time of nitrogen application in cumin (Cuminumcyminum). Ind. J. Agron. 41:500-501.

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