Giorgi, A., Pentimalli, D., Giupponi, L. & Panseri, S. Quality traits of saffron (Crocus sativus L.) produced in the Italian Alps. Open Agric. 2(1), 52–57 (2017).
Google Scholar
Winterhalter, P. & Straubinger, M. Saffron—Renewed interest in an ancient spice. Food Rev. Intl. 16(1), 39–59 (2000).
Google Scholar
Schmidt, M., Betti, G. & Hensel, A. Saffron in phytotherapy: Pharmacology and clinical uses. Wien Med. Wochenschr. 157, 315–319 (2007).
Google Scholar
Siddique, H. R., Fatma, H. & Khan, M. A. Medicinal properties of saffron with special reference to cancer—A review of preclinical studies. in Saffron: The Age-Old Panacea in a New Light (ed. Sarwat,
M. & Sumaiya, S.) 233–244 (Academic Press, 2020).
Google Scholar
Abdullaev, F. I. Cancer chemopreventive and tumoricidal properties of saffron (Crocus sativus L.). Exp. Biol. Med. 227(1), 20–25 (2002).
Google Scholar
Kafi, M., Koocheki, A. & Rashed, M. H. Saffron (Crocus sativus): Production and Processing (Science Publishers, 2006).
Google Scholar
Mir, G.M. Saffron Agronomy in Kashmir (1992).
Melnyk, J. P., Wang, S. & Marcone, M. F. Chemical and biological properties of the world’s most expensive spice: Saffron. Food Res. Int. 43(8), 1981–1989 (2010).
Google Scholar
Menia, M. et al. Production technology of saffron for enhancing productivity. J. Pharmacognosy Phytochem. 7(1), 1033–1039 (2018).
Tanra, M. A., Dar, B. A. & Sing, S. Economic analysis of Production and Marketing of saffron in Jammu and Kashmir. J. Social Relevance Concern 5(10), 12–19 (2017).
Husaini, A. M., Hassan, B., Ghani, M. Y., Teixeira da Silva, J. A. & Kirmani, N. A. saffron (Crocus sativus Kashmirianus) cultivation in Kashmir: Practices and problems. Functional Plant Sci. Biotechnol. 4(2), 108–115 (2010).
Amirnia, R., Bayat, M. & Tajbakhsh, M. Effects of nano fertilizer application and maternal corm weight on flowering at some saffron (Crocus sativus L.) ecotypes. Turkish J. Field Crops. 19(2), 158–168 (2014).
Google Scholar
Kumar, R. et al. State of art of saffron (Crocus sativus L.) agronomy: A comprehensive review. Food Rev. Int. 25(1), 44–85 (2009).
Google Scholar
Dhar, A. K. Saffron breeding and agrotechnology. Status Rep. PAFAI J. 12, 18–22 (1990).
Ehsanzadeh, P., Yadollahi, A. A. & Maibodi, A. M. Productivity, growth and quality attributes of 10 Iranian saffron accessions under climatic conditions of Chahar-Mahal Bakhtiari, Central Iran. Int. Symp. Saffron Biol. Biotechnol. 650, 183–188 (2003).
Duke, J. A. Ecosystematic data on economic plants. Quart. J. Crude Drug Res. 17(3–4), 91–109 (1979).
Google Scholar
Kanth, R.H., Khanday, B.A. & Tabassum, S. Crop weather relationship for saffron production. Saffron Production in Jammu and Kashmir, Directorate of Extension Education. SKUAST-K, India 170–188 (2008).
Shinde, D. A., Talib, A. R. & Gorantiwar, S. M. Composition and classification of some typical soils of saffron growing areas of Jammu and Kashmir. J. Indian Soc. Soil Sci. 32(3), 473–477 (1984).
Google Scholar
Nazir, N. A., Khitrov, N. B. & Chizhikova, N. P. Statistical evaluation of soil properties which influence saffron growth in Kashmir. Eurasian Soil Sci. 28(4), 120–138 (1996).
Ganai, M. R., Wani, M. A. & Zargar, G. H. Characterization of saffron growing soils of Kashmir. Appl. Biol. Res. 2(1/2), 27–30 (2000).
Ganai, M.R.D. Nutrient status of saffron soils and their management. in Proceedings of Seminar-cum-Workshop on saffron (Crocus sativus) 51–54 (2001).
Molina, R. V., Valero, M., Navarro, Y., Guardiola, J. L. & Garcia-Luis, A. Temperature effects on flower formation in saffron (Crocus sativus L.). ScientiaHorticulturae 103(3), 361–379 (2005).
Galavi, M., Soloki, M., Mousavi, S. R. & Ziyaie, M. Effect of planting depth and soil summer temperature control on growth and yield of saffron (Crocus sativus L.). Asian J. Plant Sci. 7(8), 747 (2008).
Google Scholar
Kamyabi, S., Habibi Nokhandan, M. & Rouhi, A. Effect of climatic factors affecting saffron using analytic hierarchy process (AHP); Case Study Roshtkhar Region, Iran. (2014).
Gupta, R. K. Saffron status and cultivation in northwestern Himalayas. Vegetos 20(1), 1–7 (2007).
Qin, A. et al. Maxent modelling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China. Glob. Ecol. Conserv. 10, 139–146 (2017).
Google Scholar
Fielding, A. H. & Bell, J. F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24(1), 38–49 (1997).
Google Scholar
Swets, J. A. Measuring the accuracy of diagnostic systems. Science 240(4857), 1285–1293 (1988).
Google Scholar
Muscarella, R. et al. ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods Ecol. Evaluat. 5(11), 1198–1205 (2014).
Google Scholar
Hao, T., Elith, J., Arroita, G. G. & Monfort, J. J. L. A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD. Divers. Distrib. 25(5), 839–852 (2019).
Google Scholar
Thuiller, W. BIOMOD—Optimizing predictions of species distributions and projecting potential future shifts under global change. Glob. Change Biol. 9, 1353–1362 (2003).
Google Scholar
Mykhailenko, O., Desenko, V., Ivanauskas, L. & Georgiyants, V. Standard operating procedure of Ukrainian saffron cultivation according to with good agricultural and collection practices to assure quality and traceability. Ind. Crops Prod. 151, 112376. https://doi.org/10.1016/j.indcrop.2020.112376 (2020).
Google Scholar
Kothari, D., Thakur, M., Joshi, R., Kumar, A. & Kumar, R. Agro-climatic suitability evaluation for saffron production in areas of western Himalaya. Front. Plant Sci. 12, 657819. https://doi.org/10.3389/fpls.2021.657819 (2021).
Google Scholar
Mir, J. I., Ahmed, N., Wafai, A. H. & Qadri, R. A. Variability in stigma length and apocarotenoid content in Crocus sativus L. selections of Kashmir. J. Spices Aromatic Crops. 21(2), 169–171 (2012).
Nehvi, F. A. et al. New emerging trends on production technology of saffron. II Int. Symp. Saffron Biol. Technol. 739, 375–381 (2006).
Golmohammadi, F. Sustainable agriculture and rural development in Iran, Some modern issues in sustainable agriculture and rural development in Iran Germany, LAP LAMBERT Academic Publishing GmbH & Co. LAP Lambert Academic Publishing. Germany. ISBN-13, 978-3 (2012).
Golmohammadi, F. Saffron and its importance, medical uses and economical export situation in Iran. in Oral Article Presented in: International Conference on Advances in Plant Sciences 14–18 (2012).
Phillips, S. J., Anderson, R. P. & Schapire, R. E. Maximum entropy modelling of species geographic distributions. Ecol. Model. 190(3–4), 231–259 (2006).
Google Scholar
Elith, J. et al. Novel methods improve prediction of species distributions from occurrence data. Ecography 29(2), 129–151 (2006).
Google Scholar
Pearson, R. G., Raxworthy, C. J., Nakamura, M. & Townsend Peterson, A. Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar. J. Biogeogr. 34(1), 102–117 (2007).
Google Scholar
Wisz, M. S. et al. NCEAS Predicting species distributions working group. Effects of sample size on the performance of species distribution models. Diversity Distributions. 14(5), 763–773 (2008).
Google Scholar
Rebelo, H. & Jones, G. Ground validation of presence only modelling with rare species: A case study on Barbastella barbastellus (Chiroptera: Vespertilionidae). J. Appl. Ecol. 47(2), 410–420 (2010).
Google Scholar
Elith, J. & Leathwick, J. R. Species distribution models: Ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40, 677–697 (2009).
Google Scholar
Palomera, S. et al. Mapping from heterogeneous biodiversity monitoring data sources. Biodiversity Conservation 21(11), 2927–2948 (2012).
Google Scholar
Garcia, K., Lasco, R., Ines, A., Lyon, B. & Pulhin, F. Predicting geographic distribution and habitat suitability due to climate change of selected threatened forest tree species in the Philippines. Appl. Geogr. 44, 12–22 (2013).
Google Scholar
Marcer, A., Sáez, L., Molowny-Horas, R., Pons, X. & Pino, J. Using species distribution modelling to disentangle realised versus potential distributions for rare species conservation. Biol. Cons. 166, 221–230 (2013).
Google Scholar
Phillips, S.J., Dudík, M. & Schapire, R.E. A maximum entropy approach to species distribution modelling. in Proceedings of the Twenty-First International Conference on Machine Learning 83 (2004).
Baldwin, R. A. Use of maximum entropy modelling in wildlife research. Entropy 11(4), 854–866 (2009).
Google Scholar
Izadpanah, F., Kalantari, S., Hassani, M. E., Naghavi, M. R. & Shokrpour, M. Variation in Saffron (Crocus sativus L.) accessions and Crocus wild species by RAPD analysis. Plant Syst. Evolut. 300, 1941–1944 (2014).
Google Scholar
Nemati, Z., Harpke, D., Gemicioglu, A., Kerndorff, H. & Blattner, F. R. Saffron (Crocus sativus) is an autotriploid that evolved in Attica (Greece) from wild Crocus cartwrightianus. Mol. Phylogenet. Evol. 136, 14–20 (2019).
Google Scholar
Proosdij, A. S. J. V., Sosef, M. S. M., Wieringa, J. J. & Raes, N. Minimum required number of specimen records to develop accurate species distribution models. Ecography 39, 542–552 (2016).
Google Scholar
Source: Ecology - nature.com
