Plant Available Zinc Is Influenced by Landscape Position in the Amhara Region, Ethiopia.

Plant Available Zinc Is Influenced by Landscape Position in the Amhara Region, Ethiopia.
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DOI:
10.3390/plants10020254
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发表时间:
2021-01-28
期刊:
Plants (Basel, Switzerland)
影响因子:
--
通讯作者:
Haefele SM
Haefele SM
中科院分区:
其他
文献类型:
--
作者:
Desta MK;Broadley MR;McGrath SP;Hernandez-Allica J;Hassall KL;Gameda S;Amede T;Haefele SM

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锌(Zn)是决定主食作物谷物品质的重要元素,并且在许多埃塞俄比亚土壤中缺乏。然而,由于不同的土壤类型和景观种植位置,埃塞俄比亚的耕作制度差异很大。土壤和肥料中锌的有效性和植物对锌的吸收取决于土壤的保留和释放潜力,通常分别称为吸附和解吸。本研究的目的是表征在不同的景观位置的植物有效锌的量。在2018/19种植季节,对在阿姆哈拉地区的阿坝Gerima、Debre Mewi和Markuma进行的农场试验中收集的土壤样品进行了吸附-解吸研究。在所有地点和景观位置,吸附和解吸增加增加Zn添加。土壤吸附和解吸量与土壤pH值、土壤有机碳浓度和阳离子交换量密切相关,且这些因素与景观位置有关。Freundlich等温线与Zn的吸附(r2 0.87-0.99)和解吸(r2 0.92-0.99)拟合得很好,而Langmuir等温线只与Zn的解吸(r2 0.70-0.93)拟合得很好。通过确定最具影响力的土壤参数的锌有效性的多元回归模型可以用来通知锌肥管理策略,在该地区的不同地点和景观位置,从而提高植物锌的利用效率。
Zinc (Zn) is an important element determining the grain quality of staple food crops and deficient in many Ethiopian soils. However, farming systems are highly variable in Ethiopia due to different soil types and landscape cropping positions. Zinc availability and uptake by plants from soil and fertilizer sources are governed by the retention and release potential of the soil, usually termed as adsorption and desorption, respectively. The aim of this study was to characterize the amount of plant available Zn at different landscape positions. During the 2018/19 cropping season, adsorption-desorption studies were carried out on soil samples collected from on-farm trials conducted at Aba Gerima, Debre Mewi and Markuma in the Amhara Region. In all locations and landscape positions, adsorption and desorption increased with increasing Zn additions. The amount of adsorption and desorption was highly associated with the soil pH, the soil organic carbon concentration and cation exchange capacity, and these factors are linked to landscape positions. The Freundlich isotherm fitted very well to Zn adsorption (r2 0.87–0.99) and desorption (r2 0.92–0.99), while the Langmuir isotherm only fitted to Zn desorption (r2 0.70–0.93). Multiple regression models developed by determining the most influential soil parameters for Zn availability could be used to inform Zn fertilizer management strategies for different locations and landscape positions in this region, and thereby improve plant Zn use efficiency.
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