Al-Mashreki, M. H., Akhir, J. B. M., Rahim, S. A., Kadderi, D. M., Tukimat, L., & Haider, A. R. )2011(. Land suitability evaluation for sorghum crop in the Ibb Governorate, republic of Yemen using remote sensing and GIS techniques. Australian Journal of Basic and Applied Science, 5, 359–368.
- Araya, A., Keesstra, S. D., & Stroosnijder, L.( 2010). A new agro-climatic classification for crop suitability zoning in northern semi-arid Ethiopia. Agricultural and Forest Meteorology, 150, 1057–1064.
- Baniaghil, A. S., Rahemi karizki, A., Biabani, A., & faramarzi, H. (2017). Potential Climatic Zoning of Wheat (Triticum aestivum L.) Golestan Province. Journal Of Agroecology,(9)3, 821-833. doi: 10.22067/jag.v9i3.52027
- Bhagat, R.M., Singh, S., Sood, C., Rana, R.S., Kalia, V., Pradhan, S., Immerzeel, W., & Shrestha, B. (2009). Land suitability analysis for cereal production in Himachal Pradesh (india) using geographical information system. Journal of the Indian Society of Remote Sensing, 37, 233–240. https://doi.org/10.1007/s12524-009-0018-6
- Chandora R, & Gayacharan, Shekhawat N, M. N. (2020). Chickpea genetic resources: Collection, conservation, characterization, and maintenance. In: Chickpea: Crop Wild Gains; Academic Press. Relatives for Enhancing Genetic Acadamic Press 37–61.
- FAO. (2022). Agricultural production statistics 2000–2020. FAOSTAT analytical brief series no. 41.
- Change, F. C. (2015). Food Security: Risks and Responses. FAO: Rome, Italy, 86.
- Gayacharan, Rani, U., Singh, S., Basandrai, A. K., Rathee, V. K., Tripathi, K., Singh, N., Dixit, G. P., Rana, J. C., Pandey, S., Kumar, A., & Singh, K.(2020). Identification of novel resistant sources for ascochyta blight (Ascochyta rabiei) in chickpea. PLoS One 15, e0240589. https://doi.org/10.1371/journal.pone.0240589
- Kanuni, H. (2001). The yielding ability and adaptability of chickpea cultivars under rainfed conditions of kurdistan. Seed Plant, 17, 1–11. (in Persian)
- Kumar, S., Patel, N. R., Sarkar, A., & Dadhwal, V. K. (2013). Geospatial approach in assessing agro-climatic suitability of soybean in rainfed agro-ecosystem. Journal of the Indian Society of Remote Sensing, 41, 609–618. https://doi.org/10.1007/s12524-012-0249-9
- Mahdavi, M., Salajegheh, A., Keshtkar, A. R., Fahmi, H., & Sharif, F. (2006). A study of the appropriate probability distributions for annual flow series, using L-moment method in arid and semi-arid regions. Iranian Journal of Natural Resources Research, 59, 75–87.
- Mansourian, S., Izadi Darbandi, E., RashedMohassel, M. H., Rastgoo, M., & Kanouni, H. (2017). Comparison of artificial neural networks and logistic regression as potential methods for predicting weed populations on dryland chickpea and winter wheat fields of Kurdistan province, Iranian Journal of Crop Protection, 93, 43–51.
- Miller, P., McKay, K., Jenks, B., Riesselman, J., Neill, K., Buschena, D., & Bussan, A. (2002). Growing chickpeas in the northern great plains. MT200204 AG 3/2002. Montana Extension and Experiment Station Publications.
- Sharma, A., Bharat, R., RaoK, K.V., Vittal, P. R., Ramakrishna, Y. S., & Amarasinghe, U. (2010). Estimating the potential of rainfed agriculture in India: Prospects for water productivity improvements. Agricultural Water Management, 97, 23–30.
- Shikwambana, S., Malaza, N., & Shale, K. (2021). Impacts of rainfall and temperature changes on smallholder agriculture in the Limpopo province, South Africa. Water, 13, 2872.
- Sobhani, B. (2005). Agro-climatic zoning of Ardabil province using satellite images in GIS environment. Dr. Diss. University of Tabriz 160.
- Sobhani, B., Safarianzengir, V., & Tabatabaei, B. (2020). Agroecological zoning of sugar beet cultivation based on soil nutrients and climatic conditions (Case study: East Azarbayjan province). Journal of Environmental Science and Technology, 22, 95–107.
- Soltani, F.R., Khooie, K., & Moghaddam Ghassemi-Golezani, M. (2001). A simulation study of chickpea crop response to limited irrigation in a semiarid environment. Agricaltural Water Management, 49, 225–237.
- Soltania, A., & Hajjarpoura, A., Vadez, V. (2016). Analysis of chickpea yield gap and water-limited potential yield. Iranian Journal of Field Crop Research, 185, 21–30.
- Soltani, A.(2009). Mathematical modeling in crops. Jahade Daneshgahi Mashhad Press, Mashhad, Iran. (In persian)
- Soltani, A., Robertson, M. J., Mohammad-Nejad, Y., & Rahemi-Karizaki, A. (2006). Modeling chickpea growth and development: Leaf production and senescence. Iranian Journal of Field Crop Research, 99, 14–23. (In persian)
- Veisi, M., Zand, E., Moeini, M. M., & Bassiri, K. (2020). Review of research on weed management of chickpea in Iran: Challenges, strategies and perspectives. Journal of Plant Protection Research, 60, 113–125.
- Zohary, D., Hopf, M., & Weiss, E. (2012). Domestication of plants in the old world - the origin and spread of domesticated plants in South-West Asia, Europe, and the Mediterranean Basin. Oxford University Press, 1–8.
|