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Chemical characterisation of vegetable andarable crop residue materials: a comparison ofmethodsCR Rahn,* GD Bending, RD Lillywhite and MK TurnerDepartment of Soil and Environment Sciences, Horticulture Research International, Wellesbourne, Warwick, CV35 9EF, UK
Abstract: Although it is widely recognised that chemical composition controls the patterns of
decomposition and N mineralisation of crop residue materials, there has been little agreement as to the
nature of the most important chemical fractions. We investigated whether this could be attributed to
differences in methodologies employed for chemical characterisation of the lignin and cellulose
fractions of plant materials. The cellulose and lignin contents of cauli¯ower, potato, red beet, Brussels
sprouts and wheat crop residues were analysed by a number of contrasting methods. These were forage
®bre and forest products analyses, which utilise KMnO4 and H2SO4 respectively to separate the two
fractions, and a third method, which employs NaClO2. For all the materials, the forage ®bre method
gave substantially lower amounts of both lignin and cellulose than the other methods. There was
correlation between lignin determined by the different methods. Low recovery of lignin by the forage
®bre method was found to arise partly from incomplete deligni®cation by KMnO4. The cellulose
contents given by the different methods were highly correlated. However, it was apparent that the
forage ®bre method underestimated cellulose, since only alpha-cellulose was measured.
The characteristics of crop residues grown on two sites with different N fertiliser treatments were
determined by forest products analysis. The materials were shown to span a range with respect to both
lignin (12±26%) and cellulose (17±71%) contents. The chemical characteristics of the materials were not
signi®cantly affected by the amount of nitrogen used to produce the crop.
# 1999 Society of Chemical Industry
Keywords: vegetables; nitrogen; residue characterisation; lignin; cellulose; methodology
INTRODUCTIONUnderstanding the patterns of decomposition of crop
residue materials and the subsequent availability of
nutrients to plants is essential for predicting the
fertiliser requirements of crops in intensive cropping
rotations. Vegetable crops in particular leave large
quantities of residues at harvest, and these can contain
substantial amounts of N, often in excess of 150kg
Nhaÿ1.1,2 Although this represents a valuable source
of the element, its release is not always synchronous
with the needs of following crops.3 The ability to
harness this N depends on being able to predict N
mineralisation, which requires understanding of the
mechanisms involved in residue decomposition and
mineralisation. Such understanding could be used to
improve existing computer models of N cycling such
as Greenwood et al,4 and for prediction of fertiliser
requirements.5
The importance of biochemical composition or
`quality' in determining patterns of decomposition
and N mineralisation from plant materials is well
recognised.6 Although many studies have attempted to
identify quality factors that control these processes,
there has been little agreement between them.
Signi®cant correlations have been found to exist
between N mineralisation from plant materials and a
number of quality characteristics, including C/N
ratio,7 N content,8±10 lignin,11,12 cellulose10 and poly-
phenols.13 Other studies have shown combinations of
these characteristics, including lignin/N14,15 and lignin
plus polyphenol/N,16 to be effective predictors of N
release.
While differences in results obtained between the
studies may re¯ect the diversity of materials included
and the time over which mineralisation was measured,
there is considerable variation in the methods by which
chemical fractions representing residue quality were
analysed in the different studies, and this could also
contribute to the contrasting results.
Palm and Rowland17 reviewed the minimum dataset
required for characterisation of plant quality charac-
teristics in decomposition and mineralisation studies.
The dataset included lignin, soluble carbon, soluble
phenolic and total N content for both long- and short-
Journal of the Science of Food and Agriculture J Sci Food Agric 79:1715±1721 (1999)
* Correspondence to: CR Rahn, Department of Soil and Environment Sciences, Horticulture Research International, Wellesbourne, WarwickCV35 9EF, UKContract/grant sponsor: Ministry of Agriculture, Fisheries and Food, UK(Received 4 June 1998; revised version received 19 August 1998; accepted 13 May 1999)
# 1999 Society of Chemical Industry. J Sci Food Agric 0022±5142/99/$17.50 1715
term studies, and it was recognised that cellulose
content should also be included in longer-term
studies. While there have been a variety of methods
used to determine each component of the minimum
dataset, the lignin and cellulose content have been
subject to the most divergent array of methods.
Most studies of the lignin and cellulose content of
plant materials have been conducted either by means
of forest products (FP) analysis, in which H2SO4 is
used to separate acid-soluble cellulose from acid-
insoluble lignin,18±20, or forage ®bre (FF) analysis, in
which KMnO4 in used to oxidise lignin to leave
cellulose.21,22
The aim of this study was to determine the chemical
characteristics of low sclerophylous arable and horti-
cultural crop residue materials, and to compare the
applicability of FF and FP methodologies and an
unrelated NaClO2 method to such residues.
MATERIALS AND METHODSMethods of lignin and cellulose analysisTwo variations of the FP method were tested, in which
H2SO4 is used to remove cellulose, leaving acid-
insoluble lignin. In the ®rst variation, plant materials
were subjected to a water extraction before treatment
with acid, and in the other variation there was no pre-
treatment. The FF method was also tested, in which
an acid-detergent solution was used to remove all
components except lignin and cellulose, and potas-
sium permanganate used to delignify the resulting
acid-detergent ®bre. An additional method was also
investigated which has previously been used in studies
assessing straw degradability. This utilises acetic acid
and sodium chlorite as lignin-oxidising agents. A brief
description of each method is given below.
Forest products (FP) method23
Without pre-treatment. One gram of dried and ground
plant material was treated with 20ml 13.8M H2SO4 in
an iced water bath for 2h, following which the acid was
diluted to 0.6M strength using reverse osmosis (RO)
H2O, and the mixture boiled for 2h on a hot plate.
Following cooling, the solution was ®ltered through a
pre-weighed Whatman GF/A ®lter. Material remain-
ing on the ®lter was dried at 100°C for 24h and the
®lter re-weighed to determine acid-insoluble material.
The ®lter was then placed in a furnace at 400°C for
16h to determine ash content. Lignin was determined
by subtracting the weight of ash from the weight of
acid-insoluble material. Cellulose was determined by
measuring sugars in the ®ltrate, using the phenol-
H2SO4 assay of Dubois et al.24
Water pre-treatment. Plant materials (1g) were incu-
bated with 100ml boiling RO H2O for 2h to remove
water-soluble components, following which the resi-
due was collected by ®ltration through a Whatman No
1 ®lter, and dried in a 100°C oven for 24h. The
remaining residue was subjected to treatment with
H2SO4 as described above.
Forage Fibre (FF) method25
Plant materials (0.2g) were re¯uxed with 20ml of a
solution of 60mM acetyltrimethyl ammonium bro-
mide in 0.5M H2SO4 for 1h. The residue remaining
was washed with acetone before being dried at 100°Cand weighed. The acid-detergent ®bre remaining was
deligni®ed by incubation with a 0.3M KMnO4 solu-
tion for 1.5h. The residue was washed with a solution
containing 0.4M oxalic acid, 0.6M HCl and 12M
ethanol, followed by washing with ethanol and
acetone. After drying at 100°C for 24h, the residue
was re-weighed. Lignin was calculated by determining
weight loss following KMnO4 extraction. The residue
remaining was placed in a furnace at 400°C for 16h to
determine ash content. Cellulose content was calcu-
lated by subtracting the weight of ash from the weight
of KMnO4-stable material.
NaClO2 method26
Plant materials (0.2g) were extracted in 20ml boiling
H2O for 1h. The residue remaining was ®ltered
through a Whatman No 1 ®lter and dried at 100°Cfor 24h. An additional step to the original procedure
was added to remove pectin.27 The material was
weighed, following which it was suspended in 150ml
of 0.5% ammonium oxalate for 1h at 70±80°C.
Following centrifugation, further washing and re-
extraction with 0.5% ammonium oxalate the residue
was dried and deligni®ed by incubating in a solution of
0.1M acetic acid and 0.2M NaClO2 at 75°C for 3h.
Following washes with distilled H2O, acetone and
ether, the residue was dried at 100°C for 24h, and re-
weighed. Lignin was calculated by determining weight
loss on treatment with acetic acid/sodium chlorite.
The residue was incubated with 4.3M KOH for 2h,
followed by washing with distilled H2O, acetone and
ether. The remaining residue was dried at 100°C for
24h, and re-weighed. Hemi-cellulose content was
determined by calculating weight lost by KOH
treatment. The residue remaining was placed in a
furnace at 400°C for 16h to determine ash content. a-
Cellulose content was calculated by subtracting the
weight of ash from the weight of KOH-stable material.
Source of crop residue materials, samplepreparation and analysisPotato (Solanum tuberosum L, red beet (Beta vulgarisL), wheat (Triticum aestivum L), and Brussels sprouts
(Brassica oleracea var gemmifera L) crops were grown
on a sandy loam soil at Stockbridge House, North
Yorkshire, UK. Cauli¯ower (Brassica oleracea var
botrytis L) at two planting dates, potato and wheat
crops were grown on a silty loam soil at Kirton,
Lincolnshire UK. The crops were grown with high
and low nitrogen fertiliser rates. There were three
replicated plots for each treatment. Details of crops
grown are shown in Table 1. Conventional applica-
1716 J Sci Food Agric 79:1715±1721 (1999)
CR Rahn et al
tions of pesticides and herbicides were made. Im-
mediately following crop harvest in 1994, residue
material from each experimental block and N treat-
ment was gathered and dried at 60°C before being
ground in a rotary mill to pass through an 500 mm
sieve.
Samples from both Stockbridge House and Kirton
(Table 1) were analysed by the FP method. Samples
marked with an asterisk (Table 1) were additionally
analysed by the FF and NaClO2 methods. Some
samples from Stockbridge House included a compari-
son of pre-treatments prior to acid hydrolysis using the
FP method.
Statistical design and analysisCorrelation coef®cients and analysis of variance were
performed using Genstat 5.2. The analysis took
account of the arrangement of the growing crops in
the ®eld at both sites. At Stockbridge House for the
comparison of analytical methods shown in Tables 3
and 5, the crop data were analysed as a 3-row 4-
column incomplete Latin square with methods treated
as subplots. Where the effects of nitrogen treatments
(Table 4) were analysed they were included as
subplots. At Kirton the data in Table 4 were analysed
as a split plot design with crop as main plot and
nitrogen as subplot. There were three replicates at
each site for all treatments.
RESULTS AND DISCUSSIONChemical characterisation of non-sclerophyllouscrop residuesThe results of the chemical characterisation by the FP
method are shown in Table 2. Almost half the dry
matter in brassica crops was soluble in water and
consisted mostly of sugars, while one-third or one-
quarter of dry matter, in potatoes and red beet
respectively was water-soluble. In contrast wheat straw
contained very little water-soluble material. The
proportion of the residue soluble in acid exceeded
one-third of the dry matter with little difference
between crops except for straw which contained
around two-thirds. Wheat straw had the largest
content of cellulose with double or more the amount
present in other materials. Acid-insoluble lignin levels
were highest in wheat straw and lowest in the brassica
residues. Brassicas and cereals had ash contents of
around 10%, the ash content of potatoes was higher
and that of red beet crops was extremely high.
Chemical characteristics of the materials were not
signi®cantly affected by the amount of nitrogen
applied. In a further statistical analysis comparing
characteristics of potatoes and wheat between sites,
the composition of wheat was not signi®cantly
different. In potatoes the acid-soluble fraction, cellu-
lose and ash contents were signi®cantly different
(p =0.05). De Neve et al12 reported chemical compo-
sition of several non-sclerophyllous materials by a
modi®ed Stevenson fractionation28 which identi®ed
six different fractions of crop residue materials. All
values were in similar ranges to those determined by
the FP method but the water-soluble and lignin
fractions were smaller. The difference in water-soluble
fraction may be attributed to the prior removal of fats,
waxes, oils and resins in the Stevenson method. The
lignin and cellulose contents may have been different
as De Neve et al12 separated residue into leaf blade and
stem which can have widely different composition.
Comparison of methods of chemicalcharacterisation of residue materialsA comparison of the results of the lignin determina-
tions (Stockbridge House) for each method of analysis
Table 1. Details of crops grown, N fertiliser applied, planting and harvesting dates
Site Crop Planting N rate (kg haÿ1) Date & N application Harvest date
Stockbridge Brussels sprouts 18 May 94 250 14 May 100, 14 Jun 150 22 Aug 94
125* 14 May 100, 14 Jun 25
Stockbridge Wheat 17 Mar 94 100 27 Apr 100 14 Aug 94
50* 27 Apr 50
Stockbridge Potato 30 Mar 94 275 29 Mar 150, 27 May 125 22 Aug 94
135* 29 Mar 110, 27 May 25
Stockbridge Red beet 09 May 94 175 06 May 100, 14 Jun 75 01 Sep 94
88* 06 May 88
Kirton Potatoes 30 Mar 94 270 30 Mar 220, 23 Jun 50 24 Aug 94
175* 30 Mar 175
Kirton Wheat 08 Mar 94 175 19 Apr 125, 23 Jun 50 16 Aug 94
125* 19 Apr 125
Kirton Early summer 21 Mar 94 300 30 Mar 125, 29 Apr 125 & 12 May 50 24 Jun 94, 01 Jul 94
cauli¯ower 250* 30 Mar 125, 29 Apr 125
Kirton Summer cauli¯ower 25 May 94 276* 19 Apr 138, 05 Jul 138 19 Sep 94
136 19 Apr 69, 05 Jul 67
* Samples selected for lignin and cellulose analysis by FF, FP, and NaClO2 methods.
J Sci Food Agric 79:1715±1721 (1999) 1717
Characterisation of crop residue materials
is shown in Table 3. The NaClO2 and FP methods
gave similar results, which were higher than those of
the FF method. Excluding the water pre-extraction in
the FP method increased the acid-insoluble lignin
fraction. This could be a result of acid precipitation of
water-soluble phenolic materials, resulting in their
inclusion in the lignin fraction. Figure 1 and Table 4
show that, though results differ in magnitude between
methods, there was a correlation between them, with rvalues of 0.78, 0.77 and 0.81 for FP vs FF, FP vs
NaClO2 and NaClO2 and FF respectively (df=23)
(Table 4).
The cellulose contents (Stockbridge House) from
the FF analysis were markedly lower than those from
either the NaClO2 or FP methods. (Table 5) The
effects of omitting the water pre-treatment in the FP
method led to a much larger recovery of cellulose after
acid hydrolysis in Brussels sprouts. The cellulose
content of other materials with a lower water-soluble
content was not signi®cantly affected by omitting the
water pre-treatment. Water pre-treatments are there-
fore essential for accurate determinations of cellulose
where large amounts of residue are water-soluble.
Figure 2 shows that, although results from the
different methods of characterisation differ in magni-
tude, there was a correlation between them, with rvalues of 0.87, 0.90 and 0.95 for FP vs FF, FP vs
NaClO2 and NaClO2 vs FF respectively (df=23)
(Table 4). These correlations do allow the possibility
of extrapolating cellulose data obtained by different
methods of analysis for vegetable and arable crops in
decomposition models as suggested by Ryan et al.29
However, it has been reported by Rowland and
Roberts30 that up to 65% of the hemi-cellulose was
Table 2. Chemical characterisation of crop residue materials with water pre-treatment by forest products method
Crop & site N rate (kg haÿ1)
Water-soluble
fraction (%)
Water-soluble
sugar (%)
Acid-soluble
fraction (%) Cellulose (%) Lignin (%) Ash %
Stockbridge House
Brussels Sprouts 125 41.9 25.9 43.4 34.5 14.1 7.2
250 42.2 26.2 41.8 36.9 15.4 7.4
Wheat 50 11.1 3.4 63.6 68.1 25.9 3.7
100 12.4 2.0 62.4 71.4 25.7 3.8
Potato 135 31.7 8.5 43.3 36.2 18.2 20.3
275 34.3 8.8 43.8 38.5 18.7 19.9
Red beet 88 25.5 9.6 27.7 26.0 14.5 56.2
175 33.3 11.5 21.6 16.6 12.3 43.1
SED (16df) 4.0 3.3 5.0 4.7 1.7 6.3
Kirton
Potato 175 36.7 10.8 39.6 27.9 17.7 33.3
270 32.2 4.3 42.0 27.4 22.0 24.8
Wheat 125 10.7 4.4 62.9 71.1 25.5 4.9
175 11.9 2.8 61.9 68.2 24.3 6.1
Early summer cauli¯ower 250 48.7 21.3 36.1 28.0 15.1 13.5
300 46.0 20.7 37.7 25.4 16.1 13.1
Summer cauli¯ower 138 46.4 20.9 36.4 22.7 16.9 11.6
276 49.4 18.4 35.4 26.8 15.0 13.5
SED (16df) 3.1 1.9 2.0 2.1 2.1 1.2
Table 3. Comparison of analysis methods,percentage lignin determined1
Forest products
Crop NaClO2 Forage ®bre Water No water Mean
Brussels sprouts 14.2 6.6 14.2 18.9 13.5
Wheat 20.6 11.9 25.9 28.6 21.7
Potatoes 16.7 8.8 18.8 22.1 16.6
Red beet 12.0 3.4 14.3 15.3 11.2
Mean 15.9 7.7 18.3 21.2
1 Samples taken from one N rate at Stockbridge House, see Table 1 for details.
ErrorsBetween crops df=3, SED=0.90
Between methods df=24, SED=0.58
Between methods same crops df=24, SED=1.15.
1718 J Sci Food Agric 79:1715±1721 (1999)
CR Rahn et al
dissolved and removed by the acid-detergent extrac-
tant in the FF method suggesting that the cellulose
determined by this method was likely to be largely
alpha-cellulose. Figure 3 con®rms that the cellulose
content measured by the FF method is closely
correlated to the alpha-cellulose determined by the
NaClO2 method (r =0.94, n =24). However, the
values derived from the FP analysis were higher due
to the extraction of a variable proportion of the hemi-
cellulose. In addition, as there is no relationship
between hemi-cellulose and alpha-cellulose content
of plant materials,31 use of the FF method for chemical
characterisation of plant materials may lead to under-
estimation of total cellulose content. The discrepan-
cies between studies of the importance of the cellulose
fraction in controlling decomposition and mineralisa-
tion for plant materials therefore could be due to the
different methods of analysis used.
The FF analysis method has integral problems
which limit its consistency, and therefore its applic-
ability as a standard method. These dif®culties arise
largely from the delignifying KMnO4 extraction step.
Figure 1. Relationships between crop residue lignin content determined bythe forest product, NaClO2 and forage fibre methods. Forest product ligninvs NaClO2 lignin (*) and forage fibre lignin (&). Filled symbols representKirton samples, and open symbols Stockbridge House.
Table 4. Regression equations (Y=mX�c) forcomparison of analytical methods1
Material X Y m c r
Lignin FP NaClO2 0.7 (�0.29) 5.2 (�5.39) 0.77
Lignin FP FF 0.6 (�0.26) ÿ2.7 (�4.76) 0.78
Lignin NaClO2 FF 0.9 (�0.38) ÿ7.3 (�6.57) 0.81
Cellulose FP NaClO2 0.9 (�0.36) 0.2 (�15.32) 0.90
Cellulose FP FF 0.5 (�0.20) 5.5 (�8.58) 0.87
Cellulose NaClO2 FF 0.6 (�0.21) 5.4 (�8.20) 0.95
1 Samples taken from Kirton and Stockbridge House as indicated in Table 1.
S E are in parenthesis. Calculated by functional regression analysis taking into account variance in X
and Y, Regression lines for FP vs FF and FP vs NaClO2 are shown in Figs 1 and 2.
Table 5. Comparison of analysis methods,percentage cellulose determined1
Forest products
Crop NaClO2 Forage ®bre Water No water Mean
Brussels sprouts 29.8 21.4 35.3 58.3 36.2
Wheat 66.6 39.2 67.4 66.0 59.8
Potatoes 38.7 23.0 38.2 29.7 32.4
Red beet 17.9 12.6 26.4 22.7 19.9
Mean 38.2 24.0 41.8 44.2
1 Samples taken from one N rate at Stockbridge House, see Table 1 for details.
ErrorsBetween crops df=3, SED=2.29
Between methods df=24, SED=2.24
Between methods same crops df=24, SED=4.47.
Figure 2. Relationships between crop residue cellulose contentdetermined by the forest product, NaClO2 and forage fibre methods. Forestproduct cellulose vs NaClO2 cellulose (*) and forage fibre cellulose (&).Filled symbols represent Kirton samples, and open symbols StockbridgeHouse samples.
J Sci Food Agric 79:1715±1721 (1999) 1719
Characterisation of crop residue materials
Low sclerophyllous samples are very rapidly deligni-
®ed, which can result in loss of cellulose during this
step.21 Additionally, KMnO4 penetrates larger parti-
cles poorly, resulting in slow deligni®cation. Rowland
and Roberts30 reported that some treatments actually
increased in weight following this step, and that when
further oxidation was applied to delignify these
materials, quantities of cellulose were removed. These
problems limit the reproducibility of the technique
between laboratories, and formal Tropical Soil Biology
and Fertility (TSBF) collaborators were encouraged to
use common external laboratories for lignin analysis.25
In our study, permanganate failed to penetrate
larger fragments, even though our samples were
<0.5mm. We used a range of different substances,
ranging from very low sclerophyllous brassica tissues
to relatively high sclerophyllous straw. Because the
nature of the component particles of the materials
varied, with leaf materials possessing a larger propor-
tion of ®ne powder than the straw samples, it was felt
that subjecting the samples to further deligni®cation
would have resulted in variable loss of cellulose.
CONCLUSIONSMethods are available which identify the differences in
lignin, cellulose, and water-soluble composition of
non-sclerophyllous arable and horticultural crop
residues. Different methods, notably the FF method,
gave lower quantities of lignin and cellulose compared
to FP and NaClO2 methods. Even within similar
methods, the exact steps taken, such as stages to
remove water-soluble compounds, can infuence sub-
sequent removal of lignin and cellulose. However,
there are correlations between the results obtained
from the different methodologies tested which may
offer opportunities for comparing results of degrada-
tion studies based on them.
ACKNOWLEDGEMENTSThanks to C Paterson and J Hembry from Kirton and
Stockbridge House respectively for providing the
samples, A Mead Wellesbourne for statistical advice
and the UK Ministry of Agriculture Fisheries and
Food for funding the project.
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Characterisation of crop residue materials