000			03611nab|a22004337a|4500
001			67135
003			MX-TxCIM
005			20240422215054.0
008			20231s2023||||mx |||p|op||||00||0|eng|d
022			_a2673-3218 (Online)
024	8		_ahttps://doi.org/10.3389/fagro.2023.1285880
040			_aMX-TxCIM
041			_aeng
100	1		_aDesta, M.K. _919429
245	1	0	_aLinking soil adsorption-desorption characteristics with grain zinc concentrations and uptake by teff, wheat and maize in different landscape positions in Ethiopia
260			_bFrontiers Media S.A., _c2023. _aSwitzerland :
500			_aPeer review
500			_aOpen Access
520			_aAim: Zinc deficiencies are widespread in many soils, limiting crop growth and contributing to Zn deficiencies in human diets. This study aimed at understanding soil factors influencing grain Zn concentrations and uptake of crops grown in different landscape positions in West Amhara, Ethiopia. Methods: On-farm experiments were conducted in three landscape positions, with five farmers’ fields as replicates in each landscape position, and at three sites. Available Zn from the soil (Mehlich 3, M3, Zn) and applied fertilizer (NET_FERT Zn, estimated based on adsorption/desorption characteristics and applied Zn) were related to the actual grain Zn concentration and uptake of teff, wheat, and maize. Zinc fertilizer treatments tested were Zn applied at planting (basal), basal plus side dressing and a control with no Zn applied. Results: Zn treatments had a significant effect on grain Zn concentration (increase by up to 10%) but the effect on grain yield was variable. Differences in crop Zn concentrations along the landscape positions were observed but not at all sites and crops. Trial results showed that soils with higher soil pH and Soil Organic Carbon (SOC) (typical of footslope landscape positions) tended to adsorb more applied Zn (reduce NET_FERT Zn) than soils with lower soil pH and SOC (typical of upslope landscape positions). Zn availability indicators (M3, NET_FERT Zn, clay%) explained 14-52% of the observed variation in grain Zn concentrations, whereas macronutrient indicators (Total N, exchangeable K) together with M3 Zn were better in predicting grain Zn uptake (16 to 32% explained variability). Maize had the lowest grain Zn concentrations but the highest grain Zn uptake due to high yields. Conclusion: We found that the sum of indigenous and fertilizer Zn significantly affects grain Zn loadings of cereals and that the associated soil parameters differ between and within landscape positions. Therefore, knowledge of soil properties and crop characteristics helps to understand where agronomic biofortification can be effective.
546			_aText in English
650		7	_aBiofortification _2AGROVOC _91731
650		7	_aCereals _2AGROVOC _91036
650		7	_aGrain _2AGROVOC _91138
650		7	_aZinc _2AGROVOC _91315
650		7	_aMalnutrition _2AGROVOC _96463
650		7	_aSoil _2AGROVOC _94828
651		7	_2AGROVOC _94387 _aEast Africa
700			_aBroadley, M.R. _910166
700	1		_aMcGrath, S.P. _913498
700	1		_aHernandez-Allica, J. _919431
700	1		_aHassall, K.L. _919432
700	1		_aGameda, S. _8I1707217 _913493 _gSustainable Agrifood Systems
700	1		_aAmede, T. _913489
700	1		_aHaefele, S.M. _917699
773	0		_tFrontiers in Agronomy _gv. 5, art. 1285880 _dSwitzerland : Frontiers Media S.A., 2023. _x2673-3218
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/23144
942			_cJA _n0 _2ddc
999			_c67135 _d67127