European survey shows poor association between soil organic matter and crop yields
Nutr Cycl Agroecosyst
https://doi.org/10.1007/s10705-020-10098-2
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ORIGINAL ARTICLE
European survey shows poor association between soil
organic matter and crop yields
Wytse J. Vonk . Martin K. van Ittersum . Pytrik Reidsma . Laura Zavattaro .
Luca Bechini . Gema Guzmán . Annette Pronk . Heide Spiegel .
Horst H. Steinmann . Greet Ruysschaert . Renske Hijbeek
Received: 26 March 2020 / Accepted: 20 October 2020
Ó The Author(s) 2020
Abstract A number of policies proposed to increase
soil organic matter (SOM) content in agricultural land
as a carbon sink and to enhance soil fertility. Relations
between SOM content and crop yields however remain
uncertain. In a recent farm survey across six European
countries, farmers reported both their crop yields and
their SOM content. For four widely grown crops
(wheat, grain maize, sugar beet and potato), correlations were explored between reported crop yields and
SOM content (N = 1264). To explain observed
Electronic supplementary material The online version of
this article (https://doi.org/10.1007/s10705-020-10098-2) contains supplementary material, which is available to authorized
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W. J. Vonk (&) M. K. van Ittersum
P. Reidsma R. Hijbeek
Plant Production Systems, Wageningen University and
Research, Wageningen, The Netherlands
e-mail:
L. Zavattaro
Department of Agricultural Forest and Food Sciences,
Università Degli Studi Di Torino, Turin, Italy
L. Bechini
Department of Agricultural and Environmental Sciences,
Università Degli Studi Di Milano, Milan, Italy
G. Guzmán
Institute for Sustainable Agriculture-CSIC, Cordoba,
Spain
variability, climate, soil texture, slope, tillage intensity, fertilisation and irrigation were added as covariables in a linear regression model. No consistent
correlations were observed for any of the crop types.
For wheat, a significant positive correlation (p \ 0.05)
was observed between SOM and crop yields in the
Continental climate, with yields being on average
263 ± 4 (95% CI) kg ha-1 higher on soils with one
percentage point more SOM. In the Atlantic climate, a
significant negative correlation was observed for
wheat, with yields being on average 75 ± 2
(95%CI) kg ha-1 lower on soils with one percentage
point more SOM (p \ 0.05). For sugar beet, a
significant positive correlation (p \ 0.05) between
A. Pronk
Agrosystems Research, Wageningen University and
Research, Wageningen, The Netherlands
H. Spiegel
Institute for Sustainable Plant Production, Austrian
Agency for Health and Food Safety, Vienna, Austria
H. H. Steinmann
Centre for Biodiversity and Sustainable Land Use, GeorgAugust-Universität Göttingen, Göttingen, Germany
G. Ruysschaert
Flanders Research Institute for Agriculture, Fisheries and
Food Research (ILVO), Merelbeke, Belgium
123
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SOM and crop yields was suggested for all climate
zones, but this depended on a number of relatively low
yield observations. For potatoes and maize, no significant correlations were observed between SOM content and crop yields. These findings indicate the need
for a diversified strategy across soil types, crops and
climates when seeking farmers’ support to increase
SOM.
Keywords Soil organic matter Crop yield
Europe Arable farming Survey
Introduction
Agricultural science has a long history of searching for
correlations between soil organic matter (SOM)
content and soil fertility (Russell 1977). SOM is found
to affect soil water retention (Nyamangara et al. 2001;
Zebarth et al. 1999), nutrient availability and the
suppression of pests and soil borne diseases (Asirifi
et al. 1994; Darby et al. 2006). While all these
processes are beneficial for crop yields, the size of
these benefits remains uncertain.
More recently, a number of studies attempted to
quantify the direct benefits of SOM on crop yields.
Several studies found a significant positive correlation
(de Moraes Sa et al. 2014; Lucas and Weil 2012;
Oldfield et al. 2019, 2020). However, others indicate
that no significant effect of SOM on crop productivity
could be found (Hijbeek et al. 2017a; Loveland and
Webb 2003; Schjønning et al. 2018). These diverging
findings call for a deeper search to understand the
conditions under which SOM may contribute to
improved soil fertility and crop yields.
Most of the mentioned studies used field or pot
experiments. Findings in controlled experiments may
however deviate from farmers’ experience in the field
with more varying circumstances and less controlled
management. The inclusion of farmers’ experiences
would add a valuable dimension to the available data
on SOM and crop yields. Even more so, because the
benefits of SOM depend on farm management, as
more intensive management and reliance on technical
means reduce dependence of crop yield on SOM
functions (van Noordwijk et al. 1997).
Next to management, the beneficial effect of SOM
on crop yields depends on climates and soil types.
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Increase in SOM content may also have potentially
negative effects: slow nutrient mineralisation by
organic matter, for example, might not supply nutrients at the precise moments when the crop needs those
nutrients leading to potentially larger nutrient losses
(Chen 2006).
In a recent large-scale farm survey across Europe,
farmers were asked to report their average SOM
content and crop yields. Analysis of these data could
give further insight in the relationship between SOM
and crop yields under actual farming conditions,
taking into account the variation in climates, soil types
and cultivated crops. Using these data, we aim to
answer the following three research questions:
1. Can correlations be found between SOM content
and crop yields under current European farming
practices, based on farmers’ observations?
2. What is the influence of climate, slope, soil texture
and crop type on the correlation between SOM and
crop yields?
3. How is the correlation between SOM and crop
yields affected by farm management such as
irrigation, tillage intensity and fertiliser use?
Material and methods
Study area
The relationship between SOM content and crop
yields was analysed based on a farm survey conducted
in 2013 as part of the European Catch-C project. Farm
survey data for the following six countries was used:
Austria, Belgium, Germany, Spain, Italy and the
Netherlands. For each country, details on climates and
respondents are listed in Table 1. Methodology related
to the findings presented here is described below; more
details about the Catch-C farm survey are described by
Bijttebier et al. (2015).
Analysis of survey data
Main variables
The two main variables used for our analysis were
observed yield (tonnes ha-1) from the crops of interest
and the reported average SOM content (%) across the
whole farm. Representative crop yields for the last
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Table 1 Climate zones, number of survey respondents, average SOM content and reported crop yields per country
Country
Climate zone
# Farmers (...truncated)