Akbarpour, A., Khorashadizade, O., shahidi, A., & Ghochanian, E. (2014). Performance evaluation of artificial neural network models in estimate production of yield saffron based on climate parameters.
Journal of Saffron Research,1(1), 27-35. [In Persian].
https://doi.org/10.22077/jsr.2013.431
Ahmar, S., Gill, R.A., Jung, K.H., Faheem, A., Qasim, M.U., Mubeen, M., & Zhou, W. (2020). Conventional and molecular techniques from simple breeding to speed breeding in crop plants: recent advances and future outlook
. International Journal of Molecular Sciences. 21 (7), 2590.
https://doi.org/10.3390/ijms21072590
Carella, A., Massenti, R., & Bianco, R. (2023). Testing effects of vapor pressure deficit on fruit growth: a comparative approach using peach, mango, olive, orange, and loquat.
Frontiers in Plant Science. 14:1294195.
https://doi.org/10.3389/fpls.2023.1294195
Ding, J., Yang, T., Zhao, Y., Liu, D., Wang, X., Yao, Y., Peng, S., Wang, T., & Piao, S., (2018). Increasingly important role of atmospheric aridityon Tibetan alpine grasslands.
Geophysical Research Letters 45 (6), 2852–2859.
https://doi.org/10.1002/2017GL076803
FAO, WFP, and IFAD. (2012). The state of food insecurity in the world: economic growth is necessary but not sufficient to accelerate reduction of hunger and malnutrition, food and agricultural organization of the united nations (FAO), the international fund for agricultural development (IFAD), and the world food programming (WFP), FAO, Rome, Italy
Grossiord, C., Buckley, T.N., Cernusak, L.A., Novick, K.A., Poulter, B., Siegwolf, R.T.W., Sperry, J.S., & McDowell, N.G. (2020). Plant responses to rising vapor pressure deficit.
New Phytologist. 226 (6), 1550–1566.
https://doi.org/10.1111/nph.16485
Khozeymehnezhad, H., Farhangfar, H., Behdani, M., & Hassanpour, M. (2016). Assesmentof Saffron Farmers Knowledge on the Issues Associated with Irrigation (Case Study: Southen Khorasan).
Saffron Agronomy and Technology, 4(1),41-50.
https://doi.org/10.22048/jsat.2016.11896
Khorramdel, S., Gheshm, R., Amin Ghafori,A., & Esmaielpour , B. (2014). Evaluation of soil texture and superabsorbent polymer impacts on agronomical characteristics and yield of saffron.
Journal of saffron Research, 1(2),120-135. In Persian whit English Summery.
https://jsr.birjand.ac.ir/article_1555.html
Konings, A.G., Williams, A.P., & Gentine, P., (2017). Sensitivity of grassland productivity to aridity controlled by stomatal and xylem regulation
. Nature Geoscience 10 (4), 284–288.
https://doi.org/10.1038/ngeo2903
Koozehgaran, S., Mousavi Baygi, M., Sanaeinejad, S, H., & Behdani, M.A. (2011). Study of the minimum, average and maximum temperature in South Khorasan to identify relevant areas for Saffron cultivation using GIS.
Journal of Water and Soil. 25(4), 892-904. In Persian whit English Summery.
https://doi.org/10.22067/jsw.v0i0.10257
Mollafilabi, A., Davari, K. & Amini Dehaghi, M. (2021). Saffron yield and quality as influenced by different irrigation methods.
Scientia Agricola, 78(1), 1-7. In Persian whit English Summery.
https://doi.org/10.1590/1678-992X-2019-0084
Nekouie, N., Behdani, M.A & Khashei-Siuki, A., (2014). Predicting saffron yield from meteorological data using expert system, Razavi and South Khorasan Provinces . Journal of Saffron Research.2(1),15-33. In Persian whit English Summery.
https://doi.org/10.22077/jsr.2015.326
Pierce, W., Westerling, A.L., & Oyler, J., (2013). Future humidity trends over the western UnitedStates in the CMIP5 global climate models and variable infiltration capacity hydrologicalmodeling system.
Hydrology and Earth System Sciences. 17, 1833–1850.
https://doi.org/10.5194/hess-17-1833-2013
Qiu, R.J., & Katul, G.G., (2020). Maximizing leaf carbon gain in varying saline conditions: an optimization model with dynamic mesophyll conductance.
The Plant Journal, 101 (3). 543–554.
https://doi.org/10.1111/tpj.14553
Rawson, H.M., Begg, J.E., & Woodward, R.G., (1977). The effect of atmospheric humidity on photosynthesis, transpiration and water use efficiency of leaves of several plant species.
Planta 134, 5–10.
https://doi.org/10.1007/BF00390086
Redsma, P., Lansink, A., & Ewert, F. (2009). Economic impacts of climatic variability and subsidies on european agriculture and observed adaptition strategies
. Journal of Mitigation and Adaptation Strategies for Global Change, 14. 35-59.
http://dx.doi.org/10.1007/s11027-008-9149-2
Sellin, A., Taneda, H., & Alber, M., (2019). Leaf structural and hydraulic adjustment withrespect to air humidity and canopy position in silver birch (Betula pendula).
Journal of Plant Research, 132, 369–381.
https://doi.org/10.1007/s10265-019-01106-w
Skurichina, M., & Duin, R.P., (2002). Bagging, boosting and the random subspace method for linear classifiers.
Pattern Analysis & Applications 5 (2), 121–135.
http://dx.doi.org/10.1007/s100440200011
van Wijngaarden, W.A., & Vincent, L.A., (2004). Trends in relative humidity in Canada from1953–2003. Bull. Am. Meteorological Service of Canada . 4633–4636.
Wang, J., Raza, A., Hu, Y., Buttar, N.A., Shoaib, M., Saber, K., & Ray, R.L. (2022). Development of monthly reference evapotranspiration machine learning models and mapping of Pakistan a comparative study.
Water. 14 (10), 1666.
https://doi.org/10.3390/w14101666
Yuan, W., Zheng, Y., Piao, S., Ciais, P., Lombardozzi, D., Wang, Y., & Yang., S. (2019). Increased atmospheric vapor pressure deficit reduces global vegetation growth.
Science Advances., 5(8).
https://doi.org/10.1126/sciadv.aax1396
Zhang, D., Du, Q., Zhang, Z., Jiao, X., Song, X., & Li, J. (2017). Vapour pressure deficit control in relation to water transport and water productivity in greenhouse tomato production during summer.
Scientific Reports-Nature, 7(1), 43461.
http://dx.doi.org/10.1038/srep43461
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