agronomy
Article
Effect of Long-Term Continuous Fumigation on Soil
Microbial Communities
Sadikshya R. Dangi 1,2, *, Rebecca Tirado-Corbalá 1,3 , James Gerik 1 and Bradley D. Hanson 3
1
2
3
*
United States Department of Agriculture (USDA), Agricultural Research Service, San Joaquin Valley
Agricultural Sciences Center, 9611 S. Riverbend Ave., Parlier, CA 93648, USA;
Rebecca.tirado@upr.edu (R.T.-C.); James.Gerik@ars.usda.gov (J.G.)
Department of Plant Sciences, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
Agro-Environmental Sciences Department, University of Puerto Rico-Mayagüez, Box 9000,
Mayagüez, PR 00681, USA; bhanson@ucdavis.edu
Correspondence: Sadikshya.dangi@ars.usda.gov; Tel.: +1-559-596-2863
Academic Editors: Robert J. Kremer and Peter Langridge
Received: 14 March 2017; Accepted: 11 May 2017; Published: 24 May 2017
Abstract: High value crop producers in California rely heavily on soil fumigation to control a wide
array of soil borne pests including nematodes, pathogens and weeds. Fumigants with broad biocidal
activity can affect soil microbial communities that contribute to nutrient cycling and plant nutrient
uptake which can impact soil health. It is often thought that soil microbial communities make a
relatively rapid recovery following fumigation. However, recently it has been found that repeated
application of fumigants over time can have greater and longer lasting impacts on soil microorganisms
than single fumigation events. Therefore, the main objective of this study was to determine the effect
of long-term repeated application of fumigants on soil microbial communities and compare them
with non-fumigated and organic sites. Soil samples were collected from fields in Watsonville, CA.
Chronosequence sites were defined by number of years of annual fumigation (yaf) with methyl
bromide (15, 26, 33, 39 yaf) at the time of sampling, and representative non-fumigated sites were also
included for comparison. Phospholipid fatty acid (PLFA) analysis was used to analyze the samples.
The canonical variate analysis showed that microbial communities in sites with a longer history of
fumigation (33 and 39 yaf) were similar to one another; however, they differed significantly from
15 yaf site and further analysis concluded that non-fumigated sites were significantly different than
fumigated sites. This study showed that the proportion of arbuscular mycorrhizal fungi (AMF) was
lower in all fumigated (15, 33 and 39 yaf) sites as compared to their non-fumigated counterparts,
which could be a threat to sustainability since AMF plays a major role in soil health and quality.
Keywords: fumigation; soil microbial communities; non-fumigated; organic sites
1. Introduction
For over 50 years, California has been the US’s top agricultural state generating approximately
$54 billion a year in farm-gate value [1]. California is one of the largest users of methyl bromide
(MeBr) and other soil fumigants in the United States (US) [2]. Due to its deleterious effects on
stratospheric ozone, the import and manufacture of MeBr has largely been phased out under the
provisions of the U.S. Clean Air Act and the Montreal Protocol [3,4]. California strawberry producers
have continued using MeBr under a critical use exemption subject to annual review by the parties of the
Montreal Protocol [5]. In the US, 1,3-dichloropropene (1,3-D), chloropicrin, dimethyl disulfide (DMDS),
and methyl isothiocyanate (MITC) have been proposed as the most likely chemical alternatives to
MeBr [3,5,6]. Of these, DMDS is not currently registered in California.
Agronomy 2017, 7, 37; doi:10.3390/agronomy7020037
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To reduce the use of methyl bromide fumigation and alleviate its detrimental effects to the soil,
rotation with cover crops has been recommended [7]. Cover crops grown in rotation with cash crops
can alleviate the accumulation of weeds and pathogens in the soil, increase soil organic matter and
improve soil physical, chemical, and biological properties [8]. Therefore, strawberry fields in California
are rotated with cover crops such as rye and barley, or other cash crops; however, in areas where land
and water costs are high, cover crops are not economically feasible.
Several short-term studies on the recovery of soil microbial communities in fumigated fields
concluded that soil microbial communities make a relatively rapid recovery (less than a year) after the
application of fumigants [9–12]. However, there are limited studies on the effect of long-term, repeated
application of fumigants on soil microbial communities. Reeve et al. [13] proposed that long-term
repeated application of fumigants can have significantly different and longer lasting impacts on soil
microorganisms compared to single fumigation events.
It is important to study the effect of fumigants on soil microbial communities in
regularly-fumigated fields, as soil microorganisms are crucial in sustaining long-term health of
agricultural soil [9]. Hence, understanding the impact of fumigants on beneficial soil microbial
communities is essential to help further preserve the health and sustainability of these fumigated lands.
Therefore, the main objective of this study was to determine the effect of long-term annual application
of fumigants (15, 26, 33 and 39 years of annual fumigation) on soil microbial communities and compare
them with non-fumigated sites.
2. Materials and Methods
2.1. Study Area and Soil Sampling
The study was conducted in the Watsonville, California area (Table 1) which accounts for almost
half of the state’s strawberry acreage. In California, fumigation with MeBr and chloropicrin became an
integral part of strawberry cultivation around 1960 and, until recently, nearly all strawberry acres were
fumigated with a mixture of both fumigants prior to planting [5]. The chronosequence selected for
this study contained four sites defined by number of years of annual fumigation (yaf) with MeBr and
chloropicrin. The sites were a strawberry field with 15 years of annual fumigation (15 yaf; 36◦ 56′ 26.8” N,
121◦ 43′ 11.4” W) with no crop rotation, a 26 yaf site where beans, peas or barley were rotated annually
with strawberries, a 33 years of annual fumigation site where either barley, peas and beans were rotated
with strawberries (33 yaf; 36◦ 52′ 35.2” N, 121◦ 40′ 42.3” W), two 39 yaf sites where strawberries were
rotated with barley (39a; 36◦ 54′ 15.01” N, 121◦ 49′ 30.4” W and 39b yaf; 36◦ 54′ 11.3” N, 121◦ 49′ 25.2” W)
every other year, and three representative non-fumigated (NF) sites. Two non-fumigated sites, NF-15
(36◦ 56′ 26.8” N, 121◦ 43′ 11.4” W) and NF-33 (36◦ 52′ 24.06” N, 121◦ 41′ 31.05” W) were vegetable gardens
that had never been fumigated adjacent to the 15 yaf and 33 yaf sites. An organic strawberry farm
established in 2006 adjacent to the 39a and 39b yaf sites which had been previously fumigated until
2002 and fallowed for 3 years to get organic certification (NF-39; 36◦ 54′ 12.9” N, 121◦ 49′ 23.08” W) was
chosen as a non-fumigated control for 39 yaf sites. The soil texture at the 15 yaf, NF-15 and 26 yaf sites
are clay loam while the 33 yaf, NF-33, 39a yaf, 39b yaf and NF-39 sites are sandy loam soils. Methyl
bromide-fumigated and non-fumigated fields were selected across the Watsonville area on the basis of
data provided by representatives from the fumigation industry and grower interviews.
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Table 1. Description of the five long-term fumigated study sites in Watsonville, CA, USA.
Site
Age * (Yaf)
Crop
Fumigation
Starting Year
Fumigation before
Sampling
Fumigants Used
1
15
Strawberry
1998
May 2013
Yearly with MeBr:
chloropicrin
1990
May 2013
Every other year with
MeBr: chloropicrin
1980
May 2013
Every other year with
MeBr
1974
May 2013
1974
May 2013
2
26
3
33
4
39a
5
39b
Strawberry
rotated with
either barley,
peas and beans
Strawberry
rotated either
with barley,
peas and beans
Strawberry and
barley
Strawberry and
barley
Every other year with
MeBr: chloropicrin
Every other year with
MeBr: chloropicrin
* Yaf = Years of annual fumigation.
Soil samples were collected in May 2013 from 0–5, 5–15 and 15–30 cm depths. Three 100 m
transects were randomly placed at each site and soil samples were collected from four equally spaced
points along the transects. Due to the difficulty in finding fumigated sites of the same age and the
non-fumigated treatments, each transect was considered a replicate and the four sampling points were
not composited. Samples for phospholipid fatty acids (PLFA) analysis were placed in sealed plastic
bags, stored on dry ice immediately after collection, and then returned to the laboratory where they
were placed in a −20 ◦ C freezer until analyzed.
2.2. Soil Physicochemical Analysis
Soil pH was determined by using 1:1 soil to deionized water (DI) ratio. Dissolved organic carbon
(DOC) was determined after saturating the soil with DI water (1:1 soil: water) for 24 h, shaken for 1 h
on a reciprocal shaker, and filtered through a Whatman, no. 42 filter. Carbon recovered in the water
extract was determined by using Fusion Total Organic Carbon Analyzer from Teledyne Tekmar. Total
nitrogen (TN) and total carbon (TC) contents were determined by dry combustion with a Flash 2000 N
& C Soil Analyzer (Thermo Scientific® , Pittsburgh, PA, USA). Macronutrients such as Ca, Mg, S, K and
Na were determined using ICP-OES (Varian, Palo Alto, CA, USA).
2.3. Soil PLFA Analysis
Phospholipid fatty acids (PLFA) were extracted from 5 g soil samples using a modified Bligh-Dyer
methodology [14]. Fatty acids were directly extracted from soil samples using a mixture of chloroform:
methanol: phosphate buffer (1:2:0.8). Phospholipid fatty acids were separated from neutral and
glycolipid fatty acids in a solid phase extraction column. After mild alkaline methanolysis, PLFA
samples were qualitatively and quantitatively analyzed using an Agilent 6890 gas chromatograph
(Agilent Technologies, Palo Alto, CA, USA) and fatty acids were identified using the MIDI PLFAD1
calibration mix and naming table [15], (MIDI Inc., Newark, NJ, USA).
Individual PLFA signatures were used to quantify the abundances of specific microbial groups
in soil samples [15]. Gram + bacteria were identified and quantified by the presence of iso- and
anteiso-branched fatty acids, Gram − bacteria with monounsaturated fatty acids and cyclopropyl
17:0 and 19:0, and eubacteria with 15:0, 17:0 cyclo, 19:0 cyclo, 15:1 iso, and 17:1 iso and 17:1 anteiso.
Fungi were identified and quantified with 18:2 ω6c, arbuscular mycorrhizal fungi (AMF) with 16:1
ω5c, and actinomycetes with 10-methyl fatty acids [16]. As indicators of physiological or nutritional
stress in bacterial communities, the ratio of saturated (SAT) and monounsaturated PLFAs were used in
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conjunction with the ratios of the sum of cyclopropyl PLFAs to the sum of their monoenoic precursors
(cy 17:0 + cy 19:0)/(16:1ω7 + 18:1ω7; abbreviated as Cy/pre) [17].
2.4. Data Analysis
Two-way analysis of variance was used to analyze fumigation effects on soil chemical properties
using SAS 9.4 [18]. Fatty acids were summed into biomarker groups according to [15]. The ANOVA
was conducted on total PLFA and on each biomarker group to determine fumigation effects on the
total microbial biomass and biomass of each group of organisms. Additionally, ANOVA (generalized
linear model) using proc GLIMMIX and a link-logit function were conducted on the proportion of
each biomarker. A multivariate method (canonical analysis) was used to compare soil microbial
communities in fumigated and non-fumigated sites. In this analysis, MANOVA on the relative area
of each biomarker was used to identify the linear combination of variables (referred to as canonical
variates) that best separated soil microbial community structure at different treatments. The canonical
variates were graphed to summarize group differences [19,20]. All statistical analyses were performed
at the p < 0.05 significance level.
3. Results
3.1. Response of Carbon, Nitrogen and Macronutrients to Fumigation and Non-Fumigation
In order to understand the long-term repeated application of fumigants on soil properties,
macronutrients, TC, TN, and DOC were determined (Table 2). Soil pH was lower in the fumigated
39b site as compared to other fumigated and non-fumigated sites (Table 2). Concentration of Ca was
significantly higher in 39 yaf site compared to 33 and lowest in 15 and 26 yaf sites. Concentration of
K, Mg and Na were significantly higher in NF-15 site and concentration of S was significantly higher
in 39a and 39b yaf sites compared to other fumigated and non-fumigated sites where it remained
similar to each other (Table 2). The DOC, TN and TC varied between fumigated and non-fumigated
sites (Table 2). The DOC was higher in NF-15 and 15 yaf sites than fumigated 26, 33, 39a, 39b sites
and non-fumigated 33 and 39 sites. Total N was higher in 15 yaf site than NF-15 site. Total C was
significantly higher in NF-33 and 39b yaf sites.
Table 2. pH, macronutrients, dissolved organic carbon (DOC), total nitrogen (TN), and total carbon in
fumigated and non-fumigated sites at the 0–5 cm depth.
Site
pH
Ca
K
Mg
mg
15 yaf
NF-15
26 yaf
33 yaf
NF-33
39a yaf
39b yaf
NF-39
Pr > F
SE
a
7.72
7.94 a
7.89 a
7.20 a
7.27 a
6.90 a
5.92 b
6.93 a
0.002 *
0.12
c
40.0
433 a
45.7 c
13.8 d
70.8 b
197 b
189 b
92.6 b
0.001 *
54.5
b
13.4
50.9 a
2.93 c
7.13 b
14.8 b
9.57 b
8.61 b
13.9 b
0.003 *
6.72
Na
S
DOC
kg−1
b
18.1
162 a
12.2 b
6.9 b
26.5 b
46.1 b
44.4 b
26.5 b
<0.0001 *
9.4
TN
TC
ppm
b
51.1
145 a
8.34 c
14.6 c
21.9 b,c
34.2 b,c
47.4 b,c
20.6 b,c
<0.0001 *
10.0
b
39
310 b
8.16 c
7.6 c
37 b
1002a
1338 a
329 b
<0.0001 *
40.5
a
494
512 a
18.8 b
58.7 b
68 b
26 b
22.2 b
24.3 b
0.044 *
130
%
a
0.24
0.08 b
0.11 a,b
0.10 a,b
0.16 a,b
0.15 a,b
0.76 a,b
0.17 a,b
0.042 *
0.05
1.38 b
0.40 b
0.86 b
0.89 b
2.35 a
0.87 b
4.13 a
0.85 b
0.040 *
0.37
* Means followed by different letters in a column are significantly different by Tukey’s test at p < 0.05. Ca, Calcium;
K, potassium; Mg, magnesium; Na, sodium; S, sulfur; dissolved organic carbon, DOC; TN, total nitrogen; TC,
total carbon.
3.2. Response of Soil Microbial Communities to Long-Term Fumigation and Non-Fumigation
Soil microbial community biomass represented by total PLFA was significantly (p < 0.05) higher in
NF-33 site as compared to the fumigated 33 yaf site at the first 5 cm depth (Figure 1A). At the 5–15 cm
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depth, total PLFA in NF-33 site was higher than in fumigated 26, 39a, 39b and non-fumigated 39 sites;
whereas at 15–30 cm depth, total microbial biomass in non-fumigated sites (33 and 15) was higher in
comparison to 26 yaf site (Figure 1B,C).
(A)
(B)
(C)
‐
Figure 1. Total phospholipid fatty acid (PLFA) for fumigated and non-fumigated sites at (A) 0–5 cm;
(B) 5–15 cm; and (C) 15–30 cm depths. Different letters indicate significant differences (p < 0.05). Error
bars indicate standard error. Soil samples were collected from 15, 26, 33, 39a, 39b yaf sites as well as
‐
‐
‐
‐
non-fumigated (NF-15, NF-33 and NF-39) sites.
‐
‐
‐
‐
‐
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The proportion of fungal PLFA was much higher in the 15 and 26 yaf sites than NF-15 site at
0–5 cm depth (Table 3). The AMF PLFA proportion was higher in all non-fumigated (NF-15, NF-33
and NF-39) sites as compared to their fumigated (15, 33 and 39 yaf) counterparts. Gram positive
bacterial proportion was lower in NF-33 than 33 yaf, whereas Gram positive proportion was lower
in the NF-15 site compared to 15 and 26 yaf sites. In addition, proportional levels of Gram negative
and actinomycetes PLFA were higher in the NF-33 and the NF-15 sites compared to the 33 yaf and the
26 yaf sites. In the 5–15 cm depth, the 15 yaf site had significantly higher proportions of fungal PLFA
than the NF-15 site (Table 4). Moreover, the amount of AMF was higher in the NF-15 site than in the 15
and 26 yaf sites. Proportional levels of Gram + and actinomycetes PLFAs were significantly higher in
the NF-15 compared to the 15 yaf site, whereas eukaryotic PLFA was higher at the 15 yaf site compared
to the 26 yaf site. At the 15–30 cm depth, significantly higher proportions of AMF in the NF-33 and the
NF-15 sites than in the 33 and the 15 yaf sites were observed (Table 5). Also, actinomycetes proportions
were higher in the 26 yaf site compared to the 15 yaf site.
Table 3. PLFA biomarker proportions at the 0–5 cm depth.
Site
Fungi
AMF
Gram Positive
Gram Negative
Actinomycetes
Eukaryote
0.374 (0.010) b
0.438 (0.023) a
0.396 (0.010) a,b
0.392 (0.012) a,b
0.412 (0.003) a,b
0.099 (0.015) b
0.149 (0.006) a
0.094 (0.009) b
0.105 (0.005) a,b
0.117 (0.001) a,b
0.092 (0.031) a
0.064 (0.013) a
0.102 (0.020) a
0.074 (0.015) a
0.028 (0.003) a
0.415 (0.005) a,b
0.423 (0.009) a
0.397 (0.004) b
0.090 (0.003) b
0.130 (0.004) a
0.094 (0.003) b
0.083 (0.007) a
0.021 (0.002) b
0.072 (0.010) a
Sandy loam
33 yaf
NF-33
39a yaf
39b yaf
NF-39
0.020 (0.004) b
0.229 (0.001) b
0.051 (0.009) a
0.039 (0.004) a,b
0.035 (0.002) a,b
0.010 (0.002) c
0.025 (0.003) b
0.021 (0.004) b,c
0.025 (0.0005) b
0.046 (0.002) a
0.365 (0.023) a
0.282 (0.024) b
0.318 (0.008) a,b
0.326 (0.008) a,b
0.343 (0.002) a,b
Clay loam
15 yaf
NF-15
26 yaf
a
0.108 (0.008)
0.026 (0.002) b
0.109 (0.008) a
b
0.025(0.001)
0.033 (0.002) a
0.027(0.0009) b
0.265 (0.011) b
0.346 (0.014) a
0.277 (0.013) b
Values are least square means. Values for each effect within a column with the same letter were not significantly
different (p ≤ 0.05). Standard errors are in parentheses.
Table 4. PLFA biomarker proportions at the 5–15 cm depth.
Site
Fungi
AMF
Gram + Bacteria
33 yaf
NF-33
39a yaf
39b yaf
NF-39
0.034 (0.006) a,b
0.214 (0.003) b
0.039 (0.008) a,b
0.065 (0.010) a
0.032 (0.005) a,b
0.013 (0.002) b
0.029 (0.002) a,b
0.029 (0.004) a,b
0.028 (0.001) a,b
0.041 (0.007) a
0.346 (0.043) a
0.332 (0.014) a
0.313 (0.021) a
0.314 (0.014) a
0.324 (0.014) a
15 yaf
NF-15
26 yaf
0.106 (0.014) a
0.023 (0.0005) b
0.057 (0.005) a,b
0.023 (0.001) c
0.040 (0.0008) a
0.033 (0.001) b
0.305 (0.012) b
0.360 (0.007) a
0.335 (0.003) a,b
Gram − Bacteria
Actinomycetes
Eukaryote
0.421 (0.050) a
0.404 (0.007) a
0.390 (0.009) a
0.389 (0.008) a
0.419 (0.007) a
0.107 (0.015) a
0.134 (0.005) a
0.104 (0.007) a
0.099 (0.003) a
0.103 (0.005) a
0.040 (0.010) a
0.049 (0.014) a
0.071 (0.013) a
0.074 (0.013) a
0.057 (0.019) a
0.388 (0.008) a
0.399 (0.009) a
0.405 (0.006) a
0.092 (0.004) b
0.128 (0.005) a
0.120 (0.002) a
0.067 (0.009) a
0.030 (0.006) a,b
0.018 (0.008) b
Sandy loam
Clay loam
Values are least square means. Values for each effect within a column with the same letter were not significantly
different (p ≤ 0.05). Standard errors are in parentheses.
At the 0–5 cm depth, the proportion of AMF PLFA was significantly lower in 33 yaf site as
compared to fumigated 15, 26, 39a and 39b sites (Figure 2). Fungal PLFA in 15 and 26 yaf sites were
significantly higher in proportion than 33 and 39 yaf sites. Additionally, the fungal PLFA proportion
was higher in fumigated 39 yaf sites compared to the 33 yaf site. Gram + bacterial PLFA at the 33 yaf
site was significantly higher than the 15, 26 and 39 yaf sites and Gram − bacterial PLFA was lower in
33 yaf site compared to 15 yaf site. No differences among locations were observed in the proportion
of actinomycetes and eukaryotic biomarkers. At the 5–15 cm depth, the proportion of AMF PLFA
was much higher in 26, 39a and 39b yaf sites than in 15 and 33 yaf sites (Figure 3). However, fungal
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biomarkers were significantly higher in the 15 yaf site than in 26, 33 and 39 yaf sites. No significant
differences in proportion of Gram + and Gram − bacteria were detected. The 26 yaf field had higher
proportional levels of actinomycetes biomarkers than 15 and 33 yaf fields. Moreover, lower eukaryotic
biomarker proportions were detected in the 26 yaf site than 33, 39a and 39b sites. At the 15–30 cm
depth, proportions of AMF, fungal, actinomycetes and eukaryotic PLFAs were lower in the 33 yaf site
compared to other fumigated fields (Figure 4). Gram + bacterial proportion was significantly higher in
the 26 yaf site compared to the 33 yaf site.
Table 5. PLFA biomarker proportions at the 15–30 cm depth.
Site
Fungi
AMF
Gram + Bacteria
33 yaf
NF-33
39a yaf
39b yaf
NF-39
0.018 (0.004) a
0.013 (0.002) a
0.028 (0.006) a
0.027 (0.005) a
0.018 (0.002) a
0.008 (0.003) c
0.023 (0.002) a,b
0.024 (0.004) a,b
0.027 (0.001) a
0.034 (0.004) a
0.328 (0.047) a
0.308 (0.012) a
0.355 (0.006) a
0.329 (0.011) a
0.345 (0.013) a
15 yaf
NF-15
26 yaf
0.041 (0.009) a
0.021 (0.001) a
0.037 (0.003) a
0.022(0.003) b
0.035 (0.001) a
0.027(0.001) b
0.341 (0.016) a
0.354 (0.0003) a
0.389 (0.006) a
Gram − Bacteria
Actinomycetes
Eukaryote
0.437 (0.056) a
0.379 (0.035) a
0.380 (0.009) a
0.372 (0.010) a
0.396 (0.007) a
0.072 (0.019) a
0.118 (0.013) a
0.096 (0.013) a
0.104 (0.004) a
0.108 (0.013) a
0.064 (0.014) a
0.137 (0.047) a
0.089 (0.038) a
0.100 (0.024) a
0.065 (0.017) a
0.385 (0.001) a
0.399 (0.008) a
0.360 (0.008) a
0.113 (0.004) b
0.127 (0.001) a,b
0.135 (0.003) a
0.059 (0.007) a
0.042 (0.010) a
0.013 (0.004) b
Sandy loam
Clay loam
Values are least square means. Values for each effect within a column with the same letter were not significantly
different (p ≤ 0.05). Standard errors are in parentheses.
Figure 2. (A) AMF, (B) fungal, (C) gram positive, (D) gram negative, (E) actinomycetes, and
(F) eukaryotic PLFA proportions at the 0–5 cm depth. Different letters indicate significant differences
(p < 0.05). Error bars indicate standard error. Samples were collected from 15, 26, 33, 39a and
39b yaf sites.
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Figure 3. (A) AMF, (B) fungal, (C) gram positive, (D) gram negative, (E) actinomycetes, and
‐
(F) eukaryotic PLFA proportions at the 5–15 cm depth. Different letters indicate significant differences
(p < 0.05). Error bars indicate standard error. Samples were collected from 15, 26, 33, 39a and
39b yaf sites.
3.3. Microbial Community Structure
Canonical multivariate analysis of variance suggests that differences in the microbial communities
in fumigated and non-fumigated sites are significantly (p < 0.05) different. However, similarities were
observed among clay loam 15 and 26 yaf sites; while the older fumigated sandy loam 33, 39a and
39b yaf sites were also similar to each other. Similarities were observed among NF-15 and NF-39 sites.
Moreover, the NF-33 and 15 yaf sites are distinct from one another as well as the other fumigated sites
at 0–5 cm depth (Figure 5). At the 5–15 cm depth, differences between fumigated and non-fumigated
sites remain significant; all the fumigated sites except 33 yaf site remained in a close proximity as
compared to non-fumigated sites where differences were greater (Figure 3). At the deeper depth, the
33 yaf and NF-33 sites were distinct from all other fumigated and non-fumigated sites (Figure 4).
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Figure 4. (A) AMF, (B) fungal, (C) gram positive, (D) gram negative, (E) actinomycetes, and
(F) eukaryotic PLFA proportions at ‐the 15–30 cm depth. Different letters indicate significant differences
(p < 0.05). Error bars indicate standard error. Samples were collected from 15, 26, 33, 39a and
39b yaf sites.
Discriminant analysis indicated that microbial community structure in the fumigated site was
completely different than non-fumigated sites. Canonical variates one and two discriminated 33 yaf
site vs. NF-33, 15 yaf vs. NF-15 ‐and NF-39 vs. 39 yaf site at the three soil depths (Table 6). At the
0–5 cm depth, the 33 yaf site contained higher actinomycetes.
‐
Physiological stress was determined using the ratios of saturated to monounsaturated (S/M) and
‐
‐
the ratios of cyclopropyl PLFAs to their monoenoic precursors (cy/pre; Table 7). The S/M ratio was
significantly greater
for 15 yaf compared to NF-39 at 5–15 cm depth but not between other fumigated
‐
and non-fumigated sites at 0–5 and 5–15 cm depths.
However, Cy/P ratio was significantly higher
‐
in the 15 yaf site compared to other fumigated
‐ and non-fumigated sites at 5–15 cm depth. Elevated
levels
of
these
indicate
greater
levels
of
microbial
community stress in 15 years old fumigated sites at
‐
5–15 cm depth.
Agronomy 2017, 7, 37
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Figure 5. Canonical multivariate analysis of variance of phospholipid fatty acid biomarkers for 0–5 cm,
5–15 and 15–30 cm depths. Vectors represent standardized canonical coefficients and indicate the
relative contribution of each biomarker group to each canonical variate. Soil samples were collected
‐
‐
‐
‐
from 15, 26, 33, 39a, 39b yaf sites as well as non-fumigated (NF-15, NF-33 and NF-39) sites.
‐
‐
‐
‐
–
−
−
−
−
−
Agronomy 2017, 7, 37
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Table 6. Structure matrix (pooled with canonical structure) and function at group centroid for 0–5,
5–15, and 15–30 cm soil depths.
Structure Loadings
0–5 cm
Parameter
Fungi
AMF
Gram +
Gram −
Actino
Eukaryote
CV† 1
0.32
0.28
0.307
0.34
0.51
0.09
5–15 cm
CV 2
0.38
−0.13
0.16
0.33
0.34
0.56
CV 1
−0.05
0.0006
0.31
0.28
0.39
0.10
15–30 cm
CV 2
0.40
−0.44
−0.05
0.02
−0.22
0.17
CV 1
0.02
−0.16
0.13
0.25
0.04
0.20
CV 2
−0.06
0.29
0.19
0.17
0.30
0.70
1.71
−1.69
−0.51
1.23
−2.07
0.01
0.56
−1.41
0.17
−0.86
−0.75
3.20
1.81
−0.46
−0.61
−2.04
−0.19
0.83
−0.78
−0.62
4.11
−0.47
0.19
0.30
Group Centroids
15 yaf
NF-15
26 yaf
33 yaf
NF-33
39a yaf
39b yaf
NF-39
−2.71
1.36
−1.98
0.50
7.31
−0.09
0.07
1.25
1.35
−1.51
0.24
0.55
3.31
0.39
−0.42
−2.77
−0.84
0.57
−0.80
3.26
4.90
−0.45
−1.00
−1.91
† CV, Canonical variate.
Table 7. Changes in the ratio of saturated/monounsaturated PLFAs and cyclopropyl PLFAs to their
precursors for fumigated and non-fumigated sites at 0–5, 5–15, and 15–30 cm depths. Different letters
indicate significant differences (p < 0.05). Soil samples were collected from 15, 26, 33, 39a, 39b yaf sites
as well as non-fumigated (NF-15, NF-33 and NF-39) sites.
0–5 cm
Site
15 yaf
NF-15
26 yaf
33 yaf
NF-33
39a yaf
39b yaf
NF-39
S/M
1.19
0.89
1.16
0.93
0.92
1.08
1.19
0.92
5–15 cm
15–30 cm
Cy/P
S/M
Cy/P
S/M
Cy/P
0.64
0.46
0.58
0.7
0.56
0.41
0.53
0.49
a
a
1.19
0.95
1.13
0.88
0.58
1.04
1.1
0.98
0.82
0.59
0.75
0.79
0.73
0.53
0.76
0.56
1.29
0.99 a,b
1 a,b
1.07 a,b
0.97 a,b
0.99 a,b
1.19 a,b
0.81 b
1.31
0.56 b
0.65 b
0.81 b
0.64 b
0.62 b
0.69 b
0.52 b
4. Discussion
California is one of the largest users of MeBr and other soil fumigants in the US. To ensure better
and more consistent crop yields and provide greater benefits to growers, soil fumigation has become an
important agricultural practice. Therefore, producers of strawberries, tomatoes and other high value
cash crops have been applying soil fumigants to control a wide array of target soil borne pests including
nematodes, pathogens and weeds [21]. For example, California alone used 3550 tons of MeBr in 2004
before it was banned [22]. With the phase-out of MeBr because of its role in depleting stratospheric
ozone, several alternatives have been used or in registration. However, the broad biocidal activity of
fumigants and the continuous application can affect both target or harmful as well as non-target or
beneficial soil organisms. Beneficial microorganisms are crucial in sustaining the health of agricultural
soil by contributing to nutrient cycling, plant nutrient uptake, and agricultural productivity. This
study helps to understand the effect of long-term repeated MeBr fumigation and early importance in
studying the impact of alternative fumigants which will help to protect and create awareness among
farmers on the importance of beneficial microorganisms.
Agronomy 2017, 7, 37
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Several short-term studies on the effect of soil microbial communities after fumigation have
concluded that fumigation does not harm non-target soil microorganisms. Other studies have
suggested there may be differences in deleterious and beneficial rhizosphere colonizers following
fumigation in strawberry rhizosphere fumigated and non-fumigated soils [23]. A study by
Ibekwe et al. [24] concluded that the lack of negative effects after fumigation may be due to
the reduction in populations of plant pathogens and weeds, thus enhancing bacteria to rebound
after the initial decline in population and use the available carbon sources for growth. Moreover,
Ibekwe et al. [25] confirmed that MeBr has the greatest impact on soil microbial communities and that
1,3-D has the least impact. Therefore, whether it is a short-term or a long-term study, the residual
effects of different fumigants on beneficial microorganisms are still unclear. Almost all of the studies
conducted to investigate the effect of fumigants on soil microbial communities have focused on the
short-term effect. In the present study, we have focused on the field sites where MeBr was applied
annually for 15 years or every other year for 26, 33 and 39 years.
Soil microbial biomass (total PLFA) was affected by long-term repeated fumigation in the 33 yaf
site. Soil microbial biomass in the non-fumigated 33 year old site was higher than in the 33 yaf
site (Figure 1); however, the different years (15, 33 and 39) did not affect soil microbial biomass.
Nevertheless, canonical multivariate analysis showed that microbial communities in fumigated and
non-fumigated sites are completely different and similarities were also observed between 15 and
26 yaf clay loam fields and 33, 39a, and 39b yaf sandy loam fields at the soil surface. Also, the shift
in microbial community occurred in the 15 yaf continuously fumigated site at 5–15 cm depth, as
evidenced by elevated levels of the stress rations S/M and Cy/Pre. These stress markers reflect the
degree to which microorganisms are affected by temperature, nutrient, pesticide application and
tillage [17,26]. However, other fumigated and non-fumigated sites in 0–5 and 15–30 cm depths did not
show differences in S/M and Cy/Pre ratios.
Reeve et al. [13] proposed that the long-term repeated use of fumigants may have more significant
and lasting effects on soil microbial populations than have been measured in a single fumigation events
study. To test the long-term effect on microbial community structure, we collected soil samples from
different years of continuous fumigation. Our study shows that the proportion of fungal biomarkers
was significantly higher in 15 and 26 yaf as compared to sites with 33 and 39 years of annual fumigation.
However, AMF proportion was higher in 39a and 39b yaf sites compared to 33 yaf site. Lower fungal
biomass is typical of intensively cultivated agricultural soils and it has been attributed to different
factors such as physical disturbance, and altered amount and complexity of nutrient inputs and
decrease in soil organic matter as compared to undisturbed soil [27]. Gram + bacterial proportion
was lower in 15 and 26 yaf sites than older fumigated sites, i.e., 33, 39a and 39b yaf sites. A study by
Ibekwe et al. [25] and Zelles et al. [28] also found that Gram + bacteria were less injured by fumigation
and concluded that this is due to protection by the cell wall structure of the bacteria by formation of
spores and ability to adapt to fumigant vapor more quickly. Other studies on the effect of fumigation on
soil microbial composition determined that application of high doses of metam sodium (MS) fumigant
increased actinomycetes and Gram + bacterial population following fumigation; moreover, fungal and
arbuscular mycorrhizal fungal populations were sensitive to MS [29].
The soil textural effect (sandy loam and clay loam) of long-term annual fumigation on soil
microbial communities was also studied. Ibekwe et al. [30] suggested clayey soils might protect
microorganisms from the effects of fumigation, and clay loam soil in 15 and 26 yaf sites might have
protected fungal communities somewhat from the effects of fumigation as compared to the sandy
loam at the 33, 39a and 39b yaf sites. However, the proportional level of AMF PLFA was significantly
lower in fumigated 33 and 39 yaf sandy loam soils and 15 and 26 yaf clay loam soils compared to their
non-fumigated counterparts. Similarly, a study on effects of soil type and farm management on soil
ecological functional genes and microbial activities conducted by Reeve et al. [13] concluded that over
the long term under field conditions some genes were more affected by management on silty clay loam
soil compared to sandy loam.
Agronomy 2017, 7, 37
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Cover crops can improve soil quality [31] by reducing chemical inputs such as methyl bromide
and other fumigations in strawberry production. Continuous strawberry production on the same site
can decrease strawberry yield by causing proliferation of weeds and accumulation of pathogens in the
soil [32]. Limited information is available on the effect on microbial community in strawberry after
rotation with cover crops in comparison with continuous strawberry production. However, continuous
strawberry production at the 15 yaf site was associated with significantly higher proportions of fungal
biomarkers as compared to rotation sites. Similar to our results, a study by Zhang et al. [33] on
short-term effects of crop rotation on microbial communities found that soils under corn-soybean
rotation had lower fungal biomass compared to soils under monoculture corn. In the present study,
cover crop such as barley in 39 yaf site and cash crop such as peas or beans at the 33 yaf site possibly
increased Gram + bacterial proportion. Long-term repeated fumigation without any crop rotation at
the 15 yaf site was associated with a lower proportion of Gram + bacteria and actinomycetes.
In the current study, to present comparative data from fumigated and non-fumigated sites, we
collected soil samples from differently aged fumigated sites as well as from never-fumigated sites,
and organic sites that have not been fumigated for at least 10 years. Arbuscular mycorrhizal fungi
play a crucial role in nutrient acquisition and soil fertility. Our results show that proportions of AMF
were significantly lower at the 15, 33 and 39 yaf sites compared to their non-fumigated counterparts.
Other studies have also found MeBr to be clearly detrimental to AMF [34], which causes stunting or
poor production in several cropping systems [35]. Also, [36] showed that AMF spore abundance and
species diversity was significantly higher in the organic than in the conventional systems.
Microbial biomass is often correlated with soil organic C [37,38] and may be more highly correlated
with active C than total C [39]. In the present study, the non-fumigated site compared to the 33 yaf site
had significantly greater total C as well as greater microbial biomass (total PLFA) at the surface soil.
Total carbon (organic carbon) can have a beneficial impact on soil quality, enhancing soil structure and
fertility, and increasing water infiltration and storage [40]. However, no notable difference in DOC
between fumigated and non-fumigated sites was found. Also, TN was significantly higher at the 15 yaf
site compared to its representative non-fumigated site. Levels of macronutrients were significantly
lower in 15 yaf surface soil compared to its non-fumigated counterpart, similar to the 39 years old yaf
surface soil in comparison to organic surface soil, excluding Ca being notably higher in NF-33 soil.
5. Conclusions
Strawberry fields had lower AMF populations as compared to their non-fumigated sites in all
fumigated fields, which is a risk to fumigated fields as AMF plays a major role in soil health and
fertility. Crop rotations and cover crops likely helped bacterial proportions; however, proportions
of Gram + bacteria and actinomycetes were affected without any crop rotations in the 15 yaf site.
This study stresses a need for further research on the effects of crop rotation as well as the long-term
impact of currently used MeBr alternative soil treatments on beneficial soil microorganisms to select
soil disinfestation methods that have low negative environmental impacts, maintain soil health, and
enhance sustainable crop production in California.
Acknowledgments: The authors would like to acknowledge Allie Marquez, Margaret Axiak and David Correia
for assistance with field and lab work; Ernie Levya from TriCal, Inc. and collaborating farmers; Rod Koda,
Adrian Espinoza, Luis Martin, Miguel Ramos and Darrel Uyeda who participated in this project by helping find
fumigated and non-fumigated sites. Financial support for this research was provided by California Department of
Food and Agriculture (CDFA) Specialty Crop Block Grant Program (Grant No. 12043). Mention of trade names or
commercial products in this publication is solely for the purpose of providing specific information and does not
imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity
provider and employer.
Author Contributions: Sadikshya R. Dangi and James Gerik conceived and designed experiments;
Bradley D. Hanson contributed in critical revision of the manuscript; Rebecca Tirado Corbala performed soil
chemical analysis and analyzed data; Sadikshya R. Dangi performed the experiments, analyzed data and wrote
the paper.
Conflicts of Interest: The authors declare no conflict of interest.
Agronomy 2017, 7, 37
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Abbreviations
1,3-dichloropropene
chloropicrin, dimethyl disulfide
methyl isothiocyanate
(1,3-D)
(DMDS)
(MITC)
References
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
CDFA, California Department of Food and Agriculture. California Agricultural Production Statistics.
Sacramento, CA, USA, 2014. Available online: https://www.cdfa.ca.gov/statistics/ (accessed on
12 January 2017).
Carpenter, J.; Lynch, L.; Trout, T. Township limits on 1,3-D will impact adjustment to methyl bromide
phase-out. Calif. Agric. 2001, 55, 8–12. [CrossRef]
Hanson, B.D.; Gao, S.; Gerik, J.S.; Qin, R.; Cabrera, J.A.; Jhala, A.J.; Abit, M.J.M.; Cox, D.; Correiar, B.;
Wang, D.; et al. Preplant 1,3-D treatments test well for perennial crop nurseries, but challenges remain.
Calif. Agric. 2013, 67, 181–189. [CrossRef]
McCarthy, J.E.; Copeland, C.; Parker, L.; Schierow, L.J. Clean Air Act: A Summary of the Act and Its Major
Requirements; Congressional Research Service (CRS): Washington, DC, USA, 2011.
Fennimore, S.A.; Serohijos, R.; Samtani, J.B.; Ajwa, H.A.; Subbarao, K.V.; Martin, F.N.; Daugovish, O.;
Legard, D.; Browne, G.T.; Muramoto, J.; et al. TIF film, substrates and nonfumigant soil disinfestation
maintain fruit yields. Calif. Agric. 2013, 67, 139–146. [CrossRef]
Fennimore, S.A.; Martin, F.N.; Miller, T.C.; Broome, J.C.; Dorn, N.; Greene, I. Evaluation of a mobile steam
applicator for soil disinfection in California strawberry. HortScience 2014, 49, 1542–1549.
Reicosky, D.; Forcella, F. Cover crop and soil quality interactions in agroecosystems. J. Soil Water Conserv.
1998, 53, 224–229.
Seigies, A.; Pritts, M. Cover crop rotations alter soil microbiology and reduce replant disorders in strawberry.
HortScience 2006, 41, 1303–1308.
Dangi, S.R.; Tirado-Corbalá, R.; Cabrera, J.A.; Wang, D.; Gerik, J. Soil biotic and abiotic responses to dimethyl
disulfide spot drip fumigation in established grape vines. Soil Sci. Soc. Am. J. 2014, 78, 520–530. [CrossRef]
Dangi, S.R.; Gerik, J.; Tirado-Corbalá, R.; Ajwa, H. Soil microbial community structure and target organisms
under different fumigation treatments. Appl. Environ. Soil Sci. 2015. [CrossRef]
Dungan, R.S.; Ibekwe, A.M.; Yates, S.R. Effect of propargyl bromide and 1, 3 dichloropropene on microbial
communities in an organically amended soil. FEMS Microbiol. Ecol. 2003, 43, 75–87. [CrossRef] [PubMed]
Klose, S.; Ajwa, H.A. Enzyme activities in agricultural soils fumigated with methyl bromide alternatives.
Soil Biol. Biochem. 2004, 36, 1625–1635. [CrossRef]
Reeve, J.R.; Schadt, C.W.; Carpenter-Boggs, L.; Kang, S.; Zhou, J.; Reganold, J.P. Effects of soil type and
farm management on soil ecological functional genes and microbial activities. ISME J. 2010, 4, 1099–1107.
[CrossRef] [PubMed]
Buyer, J.S.; Teasdale, J.R.; Roberts, D.P.; Zasada, I.A.; Maul, J.E. Factors affecting soil microbial community
structure in tomato cropping systems. Soil Biol. Biochem. 2010, 42, 831–841. [CrossRef]
Buyer, J.S.; Sasser, M. High throughput phospholipid fatty acid analysis of soils. Appl. Soil Ecol. 2012, 61,
127–130. [CrossRef]
Blackwood, C.B.; Buyer, J.S. Soil microbial communities grown with Bt and non—Bt corn in three soils.
J. Environ. Qual. 2004, 33, 832–836. [CrossRef] [PubMed]
Moore-Kucera, J.; Dick, R.P. PLFA profiling of microbial community structure and seasonal shifts in soils of a
Douglas-fir chronosequence. Microb. Ecol. 2008, 55, 500–511. [CrossRef] [PubMed]
SAS Institute. SAS/STAT User’s Guide; Version 9.4; SAS Institute: Cary, NC, USA, 2003.
Buyer, J.S.; Roberts, D.P.; Russek-Cohen, E. Microbial community structure and function in the spermosphere
as affected by soil and seed type. Can. J. Microbiol. 1999, 45, 138–144. [CrossRef]
Buyer, J.S.; Roberts, D.P.; Russek-Cohen, E. Soil and plant effects on microbial community structure.
Can. J. Microbiol. 2002, 48, 955–964. [CrossRef] [PubMed]
Gerik, J.S.; Hanson, B.D. Drip application of methyl bromide alternative chemicals for control of soilborne
pathogens and weeds. Pest Manag. Sci. 2011, 67, 1129–1133. [CrossRef] [PubMed]
Agronomy 2017, 7, 37
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
15 of 15
Meadows, R. News overview: Researchers develop alternatives to methyl bromide fumigation. Calif. Agric.
2013, 67, 125–127. [CrossRef]
Martin, F.N. Development of alternative strategies for management of soil borne pathogens currently
controlled with methyl bromide. Annu. Rev. Phytopathol. 2003, 41, 325–350. [CrossRef] [PubMed]
Ibekwe, A.M.; Papiernik, S.K.; Yang, C.H. Influence of soil fumigation by methyl bromide and methyl iodide
on rhizosphere and phyllosphere microbial community structure. J. Environ. Sci. Health Part B 2010, 45,
427–436. [CrossRef] [PubMed]
Ibekwe, A.M.; Papiernik, S.K.; Gan, J.; Yates, S.R.; Yang, C.H.; Crowley, D.E. Impact of fumigants on soil
microbial communities. Appl. Environ. Microbiol. 2001, 67, 3245–3257. [CrossRef] [PubMed]
Kaur, A.; Chaudhary, A.; Kaur, A.; Choudhary, R.; Kaushik, A. Phospholipid fatty acid- A bioindicator of
environment monitoring and assessment in soil ecosystem. Curr. Sci. 2005, 89, 1103–1112.
Lazcano, C.; Gomez-Brandon, M.; Revilla, P.; Dominguez, J. Short-term effects of organic and inorganic
fertilizers on soil microbial community structure and function. Biol. Fertil. Soils 2012, 49, 723–733. [CrossRef]
Zelles, L.; Palojarvi, A.; Kandeler, E.; Von lutzow, M.; Winter, K.; Bai, Q.Y. Changes in soil microbial properties
and phospholipid fatty acid fractions after chloroform fumigation. Soil Biol. Biochem. 1997, 29, 1325–1336.
[CrossRef]
Macalady, J.L.; Fuller, M.E.; Scow, K.M. Effects of metam sodium fumigation on soil microbial activity and
community structure. J. Environ. Qual. 1998, 27, 54–63. [CrossRef]
Ibekwe, A.M. Effects of fumigants on non-target organisms in soil. Adv. Agron. 2004, 83, 1–35.
Nonnecke, G.; Pritts, M. Sustainable strawberry production and management. In Our Strawberries;
Khanizadeh, S., DeEll, J., Eds.; Public Works and Government Services Canada, Publishing and Depository
Services: Ottawa, ON, Canada, 2005; pp. 84–96.
LaMondia, J.; Elmer, W.; Mervosh, T.; Cowles, R. Integrated management of strawberry pests by rotation
and intercropping. Crop Protect. 2002, 21, 837–846. [CrossRef]
Zhang, B.; Li, Y.; Ren, T.; Tian, Z.; Wang, G.; He, X. Short-term effect of tillage and crop rotation on microbial
community structure and enzyme activities of a clay loam soil. Biol. Fertil. Soils 2014, 50, 1077–1085.
[CrossRef]
Menge, J.A. Effect of soil fumigants and fungicides on vesicular-arbuscular fungi. Phytopathology 1982, 72,
1125–1132.
Hass, J.H.; Bar-Yosef, B.; Krikun, J.; Barak, R.; Markovitz, T.; Kramer, S. Vesicular-arbuscular
mycorrhizal-fungus infestation and phosphorus fertigation to overcome pepper stunting after methyl
bromide fumigation. Agron. J. 1987, 79, 905–910. [CrossRef]
Oehl, F.; Sieverding, E.; Mader, P.; Dubois, D.; Ineichen, K.; Boller, T.; Wiemken, A. Impact of long-term
conventional and organic farming on the diversity of arbuscular mycorrhizal fungi. Oecologia 2004, 138,
574–583. [CrossRef] [PubMed]
Franzluebbers, A.J.; Haney, R.L.; Hons, F.M.; Zuberer, D.A. Active fraction of organic matter in soils with
different texture. Soil Biol. Biochem. 1996, 28, 1367–1372. [CrossRef]
Hassink, J. Effect of soil texture on the size of the microbial biomass and on the amount of C and N
mineralized per unit of microbial biomass in Dutch grassland soils. Soil Biol. Biochem. 1994, 33, 1713–1722.
[CrossRef]
Weil, R.R.; Islam, K.R.; Stine, M.A.; Gruver, J.B.; Samson-Liebig, S.E. Estimating active carbon for soil quality
assessment: A simplified method for laboratory and field use. Am. J. Altern. Agric. 2003, 18, 3–17.
Weil, R.R.; Magdoff, F. Significance of soil organic matter to soil quality and health. In Soil Organic Matter in
Sustainable Agriculture; Magdoff, F., Weil, R.R., Eds.; CRC Press: Boca Raton, FL, USA, 2004; pp. 1–43.
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