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土壤和景观因素影响马拉维玉米籽粒锌浓度的地理空间变化。

Soil and landscape factors influence geospatial variation in maize grain zinc concentration in Malawi.

机构信息

Lilongwe University of Agriculture and Natural Resources (LUANAR), Bunda College Campus, P.O. Box 219, Lilongwe, Malawi.

The Department of Agricultural Research Services, P.O. Box 30779, Lilongwe 3, Malawi.

出版信息

Sci Rep. 2022 May 14;12(1):7986. doi: 10.1038/s41598-022-12014-w.

Abstract

Dietary zinc (Zn) deficiency is widespread globally, and in particular among people in sub-Saharan Africa (SSA). In Malawi, dietary sources of Zn are dominated by maize and spatially dependent variation in grain Zn concentration, which will affect dietary Zn intake, has been reported at distances of up to ~ 100 km. The aim of this study was to identify potential soil properties and environmental covariates which might explain this longer-range spatial variation in maize grain Zn concentration. Data for maize grain Zn concentrations, soil properties, and environmental covariates were obtained from a spatially representative survey in Malawi (n = 1600 locations). Labile and non-labile soil Zn forms were determined using isotopic dilution methods, alongside conventional agronomic soil analyses. Soil properties and environmental covariates as potential predictors of the concentration of Zn in maize grain were tested using a priori expert rankings and false discovery rate (FDR) controls within the linear mixed model (LMM) framework that informed the original survey design. Mean and median grain Zn concentrations were 21.8 and 21.5 mg kg, respectively (standard deviation 4.5; range 10.0-48.1). A LMM for grain Zn concentration was constructed for which the independent variables: soil pH, isotopically exchangeable Zn (Zn), and diethylenetriaminepentaacetic acid (DTPA) extractable Zn (Zn) had predictive value (p < 0.01 in all cases, with FDR controlled at < 0.05). Downscaled mean annual temperature also explained a proportion of the spatial variation in grain Zn concentration. Evidence for spatially dependent variation in maize grain Zn concentrations in Malawi is robust within the LMM framework used in this study, at distances of up to ~ 100 km. Spatial predictions from this LMM provide a basis for further investigation of variations in the contribution of staple foods to Zn nutrition, and where interventions to increase dietary Zn intake (e.g. biofortification) might be most effective. Other soil and landscape factors influencing spatially dependent variation in maize grain Zn concentration, along with factors operating over shorter distances such as choice of crop variety and agronomic practices, require further exploration beyond the scope of the design of this survey.

摘要

膳食锌(Zn)缺乏在全球范围内普遍存在,特别是在撒哈拉以南非洲(SSA)的人群中。在马拉维,膳食中的 Zn 主要来自玉米,并且据报道,谷物 Zn 浓度的空间依赖性变化在长达 100 公里的距离内都会影响膳食 Zn 的摄入量。本研究的目的是确定可能的土壤特性和环境协变量,这些因素可能会解释玉米籽粒 Zn 浓度的这种长距离空间变化。从马拉维具有空间代表性的调查中获得了玉米籽粒 Zn 浓度、土壤特性和环境协变量的数据(n=1600 个地点)。使用同位素稀释法以及常规农业土壤分析,确定了可利用和不可利用的土壤 Zn 形态。使用先验专家排名和线性混合模型(LMM)框架内的假发现率(FDR)控制,测试了土壤特性和环境协变量作为玉米籽粒 Zn 浓度的潜在预测因子,该框架为原始调查设计提供了信息。平均和中位数的籽粒 Zn 浓度分别为 21.8 和 21.5mgkg(标准偏差为 4.5;范围为 10.0-48.1)。构建了一个用于籽粒 Zn 浓度的 LMM,其中独立变量为土壤 pH、同位素可交换 Zn(Zn)和二乙三胺五乙酸(DTPA)可提取 Zn(Zn),这些变量均具有预测价值(在所有情况下,p<0.01,FDR 控制在<0.05)。降尺度的年平均温度也解释了籽粒 Zn 浓度空间变化的一部分。在本研究中使用的 LMM 框架内,马拉维玉米籽粒 Zn 浓度的空间依赖性变化具有稳健性,距离可达 100 公里。此 LMM 的空间预测为进一步研究主食对 Zn 营养的贡献变化以及增加膳食 Zn 摄入量的干预措施(例如生物强化)最有效的地方提供了基础。还需要进一步探索影响玉米籽粒 Zn 浓度空间依赖性变化的其他土壤和景观因素,以及作物品种选择和农业实践等短距离因素。这些都超出了本调查设计的范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72f/9107474/7bb341d46421/41598_2022_12014_Fig1_HTML.jpg

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