Soil and landscape factors influence geospatial variation in maize grain zinc concentration in Malawi.
Soil and landscape factors influence geospatial variation in maize grain zinc concentration in Malawi.
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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。
DOI：
10.1038/s41598-022-12014-w
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发表时间：
2022-05-14
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
膳食锌（Zn）缺乏症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，锌的膳食来源主要是玉米和谷物锌浓度的空间依赖性变化，这将影响膳食锌摄入量，已报告在距离高达100公里。本研究的目的是确定潜在的土壤性质和环境协变量，这可能会解释这种较长范围的玉米籽粒锌浓度的空间变异。玉米籽粒锌浓度，土壤性质和环境协变量的数据，从空间上具有代表性的调查在马拉维（n = 1600个地点）。不稳定和非不稳定的土壤锌的形式进行了测定，使用同位素稀释法，除了传统的农艺土壤分析。土壤性质和环境协变量作为潜在的预测因子，玉米籽粒中锌的浓度进行了测试，使用先验的专家排名和错误发现率（FDR）控制的线性混合模型（LMM）的框架内，通知原来的调查设计。平均和中位数粮食锌浓度分别为21.8和21.5毫克千克-1（标准差4.5;范围10.0-48.1）。构建了谷物锌浓度的LMM，其中自变量：土壤pH（水），同位素可交换锌（ZnE）和二乙烯三胺五乙酸（DTPA）可提取锌（ZnDTPA）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一定比例的粮食锌浓度的空间变化。在马拉维玉米籽粒锌浓度的空间依赖性变化的证据是强大的LMM框架内，在本研究中使用的，在距离高达100公里。从这个LMM的空间预测提供了一个基础，为进一步调查的主食锌营养的贡献的变化，并在干预措施，以增加膳食锌的摄入量（如生物强化）可能是最有效的。其他土壤和景观因素影响玉米籽粒锌浓度的空间依赖性变化，沿着因素在较短的距离，如作物品种的选择和农艺措施，需要进一步探索超出本调查的设计范围。
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−1, 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(water), isotopically exchangeable Zn (ZnE), and diethylenetriaminepentaacetic acid (DTPA) extractable Zn (ZnDTPA) 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.
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影响因子：
4.6
作者：
Belay A;Gashu D;Joy EJM;Lark RM;Chagumaira C;Likoswe BH;Zerfu D;Ander EL;Young SD;Bailey EH;Broadley MR
通讯作者：
Broadley MR
DOI：
10.2307/2983440
发表时间：
1995-01-01
影响因子：
2
作者：
CHATFIELD, C
通讯作者：
CHATFIELD, C
DOI：
10.1111/j.2044-8317.1992.tb00992.x
发表时间：
1992-11-01
影响因子：
2.6
作者：
DERKSEN, S;KESELMAN, HJ
通讯作者：
KESELMAN, HJ
影响因子：
4.2
作者：
Bevis, Leah Em;Hestrin, Rachel
通讯作者：
Hestrin, Rachel
影响因子：
9.8
作者：
Karger DN;Conrad O;Böhner J;Kawohl T;Kreft H;Soria-Auza RW;Zimmermann NE;Linder HP;Kessler M
通讯作者：
Kessler M