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008			202202s2022||||ne |||p|op||||00||0|eng|d
024	8		_ahttps://doi.org/10.1016/j.dib.2022.107807
040			_aMX-TxCIM
041			_aeng
100	1		_aWimalasiri, E.M. _919180
245	1	0	_aDatasets for the development of hemp (Cannabis sativa L.) as a crop for the future in tropical environments (Malaysia)
260			_aNetherlands : _bElsevier, _c2022.
500			_aPeer review
500			_aOpen Access
520			_aAn evidence base was developed to facilitate adoption of hemp (Cannabis sativa L.) in tropical environments (Wimalasiri et al. (2021)). Agro-ecological requirements data of hemp were acquired from international databases and was contrasted against local climate and soil conditions using an augmented species ecological niche modeling. The outputs were then used to map the suitability for all locations for 12 possible calendar-year seasons within peninsular Malaysia. The most probable seasonal map was then used to generate a land suitability map for agricultural areas across 5 standard land suitability categories. Having developed the general suitability maps of hemp in Malaysia, detailed crop growth data were collected from literature and was then used to simulate an ideotype crop model (for both seed and fiber) for selected locations across Malaysia, where detailed daily climate data and soil information were available. Following the development of a downscaled future climate dataset, a simulated dataset of yield for the future conditions were also developed. Next, the simulated seed and fiber yield data were used to create yield maps for hemp across peninsular Malaysia. An economic value and cost-benefit analyses were also carried out using data that were collected from literature and local sources to simulate the true cost and benefit of growing hemp both for now and future conditions. This data provides the first ever evidence base for an underutilized crop in Southeast Asia. All data that was generated using the proposed published framework for the adoption of hemp in the future are stored in their original format in an online repository and is described in this article. The data can be used to map the suitability at finer scales, analyze and re-calibrate a yield model using any climate scenario and evaluate the economics of production using the standard methodology described in the above-mentioned publication.
546			_aText in English
650		7	_aData _99002 _2AGROVOC
650		7	_aHemp _922939 _2AGROVOC
650		7	_aEconomics _91093 _2AGROVOC
650		7	_aLand suitability _913797 _2AGROVOC
650		0	_aMaximum sustainable yield _gAGROVOC _910792
700	1		_aJahanshiri, E. _922940
700	1		_aSyaherah, T.A. _926465
700	1		_aKuruppuarachchi, N. _922941
700	1		_aChimonyo, V.G.P. _8001712688 _gSustainable Intensification Program _gSustainable Agrifood Systems _919177
700	1		_aAzam-Ali, S.N. _922943
700	1		_aGregory, P.J. _99373
773	0		_tData in Brief _gv. 40, art. 107807 _dNetherlands : Elsevier, 2022. _x2352-3409
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/21880
942			_cJA _n0 _2ddc
999			_c64913 _d64905