Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Garbenstr. 13, 70599 Stuttgart, Germany.
Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Garbenstr. 13, 70599 Stuttgart, Germany.
Sci Total Environ. 2020 May 10;716:137078. doi: 10.1016/j.scitotenv.2020.137078. Epub 2020 Feb 1.
Crops that grow on soils with higher fertility often have higher yields and higher tissue nutrient concentrations. Whether this is the case for all crops, and which soil and management factors, or combinations mostly affect yields and food nutrient concentrations however, is poorly understood. Here, the main aim was to evaluate effects of soil and management factors on crop yields and food nutrient concentrations in (i) grain, fruit and tuber crops, and (ii) between high and low soil fertility areas. Total elemental concentrations of Mg, P, S, K, Ca, Fe, Zn, Mn and Cu were measured using a portable X-Ray Fluorescence Spectrometer (pXRF) in maize grain (Zea mays; Teso South, Kenya: n = 31; Kapchorwa, Uganda n = 30), cassava tuber (Manihot esculenta; Teso South: n = 27), and matooke fruit (Musa acuminata; Kapchorwa, n = 54). Soil properties measured were eCEC, total N and C, pH, texture, and total elemental content. Farm management variables (fertilisation, distance to household, and crop diversity) were collected. Canonical Correspondence Analyses (CCA) with permutation rank tests identified driving factors of alterations in nutrient concentrations. Maize grain had higher correlations with soil factors (CCA > 80%), than cassava tuber (76%) or matooke fruit (39%). In contrast, corresponding correlations to management factors were much lower (8-39%). The main soil properties affecting food nutrients were organic matter and texture. Surprisingly, pH did not play an important role. A positive association of crop diversity with nutrient concentration and yield in lower fertility areas was observed. Considering, food nutrient composition, apart from yield, as response variables in agronomic trials (e.g. fertilisation or soil improvement strategies), would contribute towards discounting the notion that crops growing on fertile soils always produce healthy and high quality foods.
在肥力较高的土壤中生长的作物往往产量更高,组织中的养分浓度也更高。然而,对于所有作物而言,这种情况是否成立,以及哪些土壤和管理因素或组合最能影响产量和食物中的养分浓度,人们知之甚少。本研究的主要目的是评估土壤和管理因素对(i)谷物、水果和块茎作物,以及(ii)高肥力和低肥力地区作物产量和食物养分浓度的影响。利用便携式 X 射线荧光光谱仪(pXRF)在玉米籽粒(Zea mays;肯尼亚特索南部:n=31;乌干达卡普乔拉:n=30)、木薯块茎(Manihot esculenta;肯尼亚特索南部:n=27)和芭蕉果(Musa acuminata;乌干达卡普乔拉:n=54)中测量了 Mg、P、S、K、Ca、Fe、Zn、Mn 和 Cu 的总元素浓度。测量的土壤性质包括有效阳离子交换量(eCEC)、总氮和碳、pH 值、质地和总元素含量。还收集了农场管理变量(施肥、离农户的距离和作物多样性)。通过排列等级检验的典范对应分析(CCA)确定了养分浓度变化的驱动因素。与木薯块茎(76%)或芭蕉果(39%)相比,玉米籽粒与土壤因子的相关性更高(CCA>80%)。相比之下,与管理因素的相应相关性要低得多(8-39%)。主要影响食物养分的土壤性质是有机质和质地。令人惊讶的是,pH 值并没有起到重要作用。在低肥力地区,观察到作物多样性与养分浓度和产量呈正相关。在农业试验中,除了产量外,还将食物营养成分作为响应变量考虑(例如施肥或土壤改良策略),这将有助于消除这样一种观念,即生长在肥沃土壤上的作物总是生产健康和高质量的食物。