Linking soil adsorption-desorption characteristics with grain zinc concentrations and uptake by teff, wheat and maize in different landscape positions in Ethiopia

IF 3.5 Q1 AGRONOMY
Mesfin K. Desta, Martin R. Broadley, Steve P. McGrath, Javier Hernandez-Allica, Kirsty L. Hassall, Samuel Gameda, Tilahun Amede, Stephan M. Haefele
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Abstract

Aim 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.
埃塞俄比亚不同景观位置土壤吸附-解吸特性与谷物锌浓度和苔麸、小麦和玉米吸收的关系
目的锌缺乏在许多土壤中普遍存在,限制了作物生长并导致人类饮食中锌缺乏。本研究旨在了解影响埃塞俄比亚西阿姆哈拉不同景观位置作物籽粒锌浓度和吸收的土壤因素。方法在3个景观位进行田间试验,每个景观位重复5块农田,在3个地点进行田间试验。土壤有效锌(Mehlich 3, M3, Zn)和施肥量(NET_FERT Zn,根据吸附/解吸特性和施肥量估算)与苔麸、小麦和玉米的实际谷物锌浓度和吸收有关。试验锌肥处理为种植时施锌(基施)、基施+侧施和对照不施锌。结果锌处理对籽粒锌浓度有显著影响(最高可达10%),但对籽粒产量的影响存在差异。作物锌浓度沿景观位置存在差异,但并非在所有地点和作物上都存在差异。试验结果表明,土壤pH值和有机碳(SOC)较高的土壤(典型的坡脚景观位置)比土壤pH值和有机碳(SOC)较低的土壤(典型的坡上景观位置)更倾向于吸附更多的施锌(降低NET_FERT Zn)。锌有效性指标(M3、NET_FERT Zn、clay%)解释了14-52%的籽粒锌浓度变化,而常量养分指标(全氮、交换性钾)和M3 Zn在预测籽粒锌吸收方面效果更好(解释变异率为16 - 32%)。玉米由于产量高,籽粒锌浓度最低,但吸收量最高。结论原生锌和肥料锌的总和显著影响谷物的锌负荷,且不同景观位置和不同景观位置的相关土壤参数存在差异。因此,对土壤特性和作物特性的了解有助于了解农艺生物强化在哪些方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Agronomy
Frontiers in Agronomy Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
4.80
自引率
0.00%
发文量
123
审稿时长
13 weeks
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