000			03176nam a22003737a 4500
001			69751
003			MX-TxCIM
005			20260119085510.0
008			260106s2025 ke ||||| |||| 00| 0 eng d
040			_aMX-TxCIM
041			_aeng
100	0		_8001714264 _aBisrat Gebrekidan _gSustainable Agrifood Systems _937336
245	1	0	_aTargeting soil acidity investments at scale in Kenya
260			_a[Kenya] : _bCIMMYT ; _bCGIAR, _c2025.
300			_a28 pages
500			_aOpen Access
520			_aSoil acidity is a long-recognized one of the many constraints to agricultural production in Kenya and has motivated extensive agronomic research on crop and soil responses to liming. However, the use of agricultural lime remains limited on smallholder farms, even in areas where soil acidity is severe. High lime costs are frequently cited as a barrier to adoption, yet most targeting efforts continue to rely primarily on soil property maps without explicit consideration of the economic returns to liming investments at the farm scale. In this paper, we apply a spatially explicit ex ante targeting framework that integrates soil acidity indicators, crop response modelling, spatial variation in input and output prices, and heterogeneity in farm productivity to assess the economic viability of liming across Kenya. Using high resolution spatial data, we generate location specific estimates of acidity related yield losses, lime requirements, and both short run and multi-year economic returns to remediation. Our results show that while soil acidity is widespread in Kenya’s major agricultural regions, economically viable opportunities for liming are far more spatially concentrated. Predicted agronomic yield responses occur across large areas, but positive economic returns emerge only under specific combinations of lime requirements, baseline productivity, and price conditions. Returns also vary substantially within locations across farms and initial productivity levels. These findings highlight the importance of integrating biophysical and economic information to guide the design and targeting of soil acidity interventions in Kenya.
546			_aText in English
591			_aMadaga, L. : Not in IRS staff list but CIMMYT Affiliation
591			_aSilva, J.V. : No CIMMYT Affiliation
597			_dCGIAR Trust Fund _dBill & Melinda Gates Foundation (BMGF) _fSustainable Farming _aEnvironmental health & biodiversity _aPoverty reduction, livelihoods & jobs _cSystems Transformation _uhttps://hdl.handle.net/10568/179699
650		7	_aTargeting _2AGROVOC _912475
650		7	_aSoil pH _2AGROVOC _910583
650		7	_aAgricultural lime _2AGROVOC _941000
650		7	_aCrop modelling _2AGROVOC _92623
650		7	_aAgricultural production _2AGROVOC _95543
650		7	_aEconomic viability _2AGROVOC _919936
651		7	_aKenya _2AGROVOC _93783
700	1		_aChamberlin, J. _gSustainable Agrifood Systems _8I1706801 _92871
700	1		_aMadaga, L. _937335
700	1		_aSilva, J.V. _8001712458 _gSustainable Agrifood Systems _99320
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36652
942			_cRE _n0 _2ddc
999			_c69751 _d69743