evaluating changes in switchgrass physiology, biomass, and light-use efficiency under artificial...
TRANSCRIPT
Evaluating changes in switchgrass physiology, biomass,and light-use efficiency under artificial shade to estimateyields if intercropped with Pinus taeda L.
Janine M. Albaugh • Timothy J. Albaugh •
Ryan R. Heiderman • Zakiya Leggett • Jose L. Stape •
Kyle King • Katherine P. O’Neill • John S. King
Received: 16 July 2013 / Accepted: 8 May 2014 / Published online: 22 May 2014
� Springer Science+Business Media Dordrecht 2014
Abstract There is growing interest in using switch-
grass (Panicum virgatum L.) as a biofuel intercrop in
forestry systems. However, there are limited data on the
longevity of intercropped bioenergy crops, particularly
with respect to light availability as the overstory tree
canopy matures. Therefore, we conducted a greenhouse
study to determine the effects of shading on switchgrass
growth. Four treatments, each with different photosyn-
thetically active radiation (PAR) levels, were investi-
gated inside the greenhouse: control (no shade cloth,
49 % of full sunlight), low (under 36 % shade cloth),
medium (under 52 % shade cloth), and heavy shade
(under 78 % shade cloth). We determined the effect of
shading from March to October 2011 on individually
potted, multi-tillered switchgrass transplants cut to a
stubble height of 10 cm. In the greenhouse, there was a
reduction in tiller number, tiller height, gas exchange
rates (photosynthesis and stomatal conductance), leaf
area, above- and belowground biomass and light-use
efficiency with increasing shade. Total (above- and
belowground) biomass in the control measured
374 ± 22 compared to 9 ± 2 g pot-1 under heavy
shade (11 % of full sunlight). Corresponding light-use
efficiencies were 3.7 ± 0.2 and 1.4 ± 0.2 g MJ-1,
respectively. We also compared PAR levels and asso-
ciated aboveground switchgrass biomass from inside
the greenhouse to PAR levels in the inter-row regions of
a range of loblolly pine (Pinus taeda L.) stands from
across the southeastern United States (U.S.) to estimate
when light may limit the growth of intercropped species
under field conditions. Results from the light environ-
ment of loblolly pine plantations in the field suggest that
switchgrass biomass will be significantly reduced at a
loblolly pine leaf area index between 1.95 and 2.25,
which occurs on average between ages 6 and 8 years
across the U.S. Southeast in intensively managed pine
plantations. These leaf area indices correspond to a
60–65 % reduction in PAR from open sky.
Keywords Panicum virgatum � Bioenergy �Intercropping � Loblolly pine � Light-use
efficiency � Shading
J. M. Albaugh (&) � T. J. Albaugh � J. L. Stape �J. S. King
Department of Forestry and Environmental Resources,
North Carolina State University, Box 8008, Raleigh,
NC 27695, USA
e-mail: [email protected]
T. J. Albaugh
Department of Forestry, Virginia Polytechnic Institute
and State University, 228 Cheatham Hall, Blacksburg,
VA 24061, USA
R. R. Heiderman
F&W Forestry Services, P.O. Box 3610, Albany,
GA 31706, USA
Z. Leggett
Weyerhaeuser Company, 1785 Weyerhaeuser Rd,
Vanceboro, NC 28586, USA
K. King � K. P. O’Neill
Environmental Studies Program, Roanoke College,
Salem, VA 24153, USA
123
Agroforest Syst (2014) 88:489–503
DOI 10.1007/s10457-014-9708-3
Introduction
There is renewed interest in growing perennial
grasses, such as switchgrass (Panicum virgatum L.),
as dedicated bioenergy feedstocks (Heaton et al. 2004;
Vogel 2004; Albaugh et al. 2012; Blazier et al. 2012).
Perennial grasses are strong biofuel candidates due to
their ability to produce large biomass yields with
relatively few inputs compared to annual crops such as
corn and soybeans. Switchgrass, a perennial warm-
season grass, was chosen by the U.S. Department of
Energy as the model herbaceous species for develop-
ment as a biomass feedstock (Sanderson et al. 1996;
Fuentes and Taliaferro 2002). This species is native to
North America and its favorable characteristics for
bioenergy production have been extensively docu-
mented. These attributes include its perennial nature,
diverse geographic range (Downing et al. 1996), high
biomass potential (Wright 1994; Downing et al. 1996;
Tolbert and Schiller 1996; McLaughlin et al. 1999),
low nutrient demand (Downing et al. 1996), and
environmental benefits such as mitigation of green-
house gas emissions by below-ground carbon seques-
tration (Zan et al. 2001; Sanderson et al. 1996; Vogel
2004; McLaughlin and Kszos 2005).
There is economic risk associated with converting
land to growing a crop dedicated to the relatively new
biofuel market (Blazier 2014). To avoid these
potential risks and to increase yields with optimum
use of available growing space, intercropped manage-
ment systems can be used to integrate traditional forest
production and perennial grasses (Albaugh et al. 2012;
Blazier et al. 2012). In these types of intercropped
agroforestry systems, switchgrass is grown as a biofuel
feedstock between rows of loblolly pine (Pinus taeda
L.). As intercropping allows for annual economic
returns from the grass early in the rotation while
maintaining long-term returns from traditional wood
products, this kind of agroforestry system can con-
tribute to crop diversity and economic viability of
growers (Sanderson et al. 1996; Tolbert and Schiller
1996). Furthermore, intercropping switchgrass on
forest land minimises the ‘food versus fuel’ debate
that has affected other bioenergy ventures such as corn
ethanol (Heaton et al. 2008; Dale et al. 2010).
Although switchgrass biology has been well char-
acterised (e.g. Sanderson 1992; Sanderson and Reed
2000; Parrish and Fike 2005), potential competition
from pine trees in an intercropped agroforestry system
has not been quantified. Early in the rotation, prior to
canopy closure, growing conditions in the inter-row
area of planted pines will be favorable for grass
growth. However, as trees grow taller and crowns
become fuller with increased leaf area, more light will
be intercepted by the pines. Under favorable condi-
tions, biomass production is proportional to the
amount of absorbed radiation (Monteith 1981), a
concept known as light-use efficiency. As increased
shading by pine trees may reduce switchgrass growth,
intercropping may be limited to early in the tree
rotation, the timing of which still needs to be
quantified. Trees planted at wide initial spacing may
allow for long-term intercropping.
The amount of incident light intercepted by a forest
canopy is determined by the density and size of the
tree crowns, i.e. leaf area index (LAI) and canopy
architecture, which is defined by the vertical and
horizontal distribution of foliage and branch mass
(Sampson and Allen 1998; Li et al. 2008). The rate at
which trees shade and impact understory yield
depends on tree species and site productivity, width
of tree rows, row orientation (Burner and Brauer 2003)
and management operations such as fertilisation,
pruning and thinning. In addition to young stands
and stands with wider initial tree row spacing, light
levels in the inter-row area may be sufficient for grass
growth later in the rotation, after heavy pruning or
thinning operations. Studies have been conducted in
the southeastern (se) U.S. on the effect of intercrop-
ping pine trees and grasses, grown mainly for forage
(Clason 1999; Pitman 2000; Burner and Brauer 2003;
Albaugh et al. 2012; Blazier et al. 2012). However,
there has been minimal research investigating specific
effects of light on switchgrass grown as a biofuel
intercrop. As it is critical to understand light avail-
ability and its effect on the longevity of intercropping,
we conducted a greenhouse study to determine the
effects of shading on switchgrass growth. Specifically,
we quantified the effect of varying light levels on
switchgrass growth, physiology, above- and below-
ground biomass production, and light-use efficiency.
We compared light intensities inside the greenhouse to
light levels in the inter-row regions of various aged
loblolly pine stands with different stocking densities to
estimate when light levels may limit the growth of
intercropped species.
490 Agroforest Syst (2014) 88:489–503
123
Materials and methods
Greenhouse experiment
The greenhouse study was conducted at North Caro-
lina State University in Raleigh, NC, USA
(35�4701300N, 78�4104200W) from day of year (DOY)
69 (10 March) to DOY 292 (19 October) 2011. Light
levels inside the greenhouse were varied using shade
cloth constructed of high-density polypropylene
(Greenhouse Megastore, Danville, IL, USA), which
allowed transmittance of varying amounts of photo-
synthetically active radiation (PAR), ranging from 22
to 64 %. Shade structures measuring 1.1 m
(length) 9 1.2 m (width) 9 3.1 m (height) were con-
structed with 1.3 cm diameter PVC pipe and covered
with shade cloth. Three different levels of shade cloth
density, i.e., 36, 52 and 78 %, were used to create low,
medium and heavily shaded environments, respec-
tively. A no-shade cloth (control) treatment did not
have any shade cloth over the switchgrass plants and
allowed full light penetrating the greenhouse roof to
reach the top of the plant canopy. Within each shade
cloth chamber and in the control, photosynthetic light
(PAR) Smart Sensors connected to Micro Station data
loggers (HOBO, Onset Computer Corporation, Pocas-
set, MA, USA) collected PAR data every minute and
logged these as hourly PAR averages (lmol pho-
tons m-2 s-1). These PAR averages were summed on
a daily basis and converted to MJ (1 J of PAR contains
4.6 lmol, Landsberg 1986). As the greenhouse glass
and frame blocked approximately 50 % of incoming
PAR, control plants received 49 % of full sunlight,
and the low, medium, and heavily shaded treatments
received 31, 23 and 11 % of full sunlight, respectively.
Four-month-old switchgrass (cultivar Alamo) seed-
lings were planted into 0.02 m3 black plastic pots (each
pot measured 30 cm diameter and 28 cm height,
covering an area of 0.071 m2, with one seedling/pot)
filled with an artificial potting mix containing Canadian
sphagnum peat moss (50 %), processed pine bark,
perlite, vermiculite, starter nutrients, wetting agent and
dolomitic limestone (Fafard 3B, Conrad Fafard Inc.,
Agawam, MA, USA) in January 2011. The experiment
was laid out as a randomised complete block design with
three blocks: six switchgrass pots were subjected to each
light level, with each treatment replicated three times
(total greenhouse N = 72). Greenhouse temperature
and humidity were not controlled. Six additional
switchgrass pots were placed outside the greenhouse
on DOY 69 (10 March) for the duration of the
experiment. These pots did not receive artificial shading
and provided an estimate of switchgrass biomass that
would be obtained when grown in full sun. The only data
collected on these plants were above- and belowground
biomass. Meteorological data (hourly average air tem-
perature and PAR) for conditions outside the green-
house were obtained from the Reedy Creek weather
station located at 35�4802600N, 78�4403900W, which was
4.9 km from the greenhouse, with a 2 m altitude
difference.
Switchgrass plants were cut to a height of 10 cm
prior to treatment initiation on DOY 69. This initial
aboveground biomass was 0.90 ± 0.04 g pot-1 and
was used for blocking purposes to ensure homogeneity
of experimental units. A height of 10 cm was chosen
to be consistent with field practices (Albaugh et al.
2012). Initial tiller number was 13 ± 4 tillers pot-1 (a
tiller is an individual grass shoot comprised of a
meristem, leaves, stem, roots and latent buds).
Switchgrass plants were watered daily to approximate
pot water-holding capacity. Individual pots were
treated with a surface application of 65 g of 15-9-12
(N P2O5 K2O) Osmocote Plus fertiliser on DOY 84 (25
March) and 241 (29 August) to prevent nutrient
limitation during the study period.
Switchgrass growth and gas exchange measurements
Switchgrass tiller height (cm) was measured monthly
from March to October as the height from the soil to
the collar of the most recent fully expanded leaf blade
per pot. Sanderson (1992) refers to the most recent
fully expanded leaf blade as one where the collar is
fully visible. Tiller height was measured on DOY 111,
139, 165, 199, 240, 258, and 291.
Leaf-level photosynthesis (A, lmol m-2 s-1) and
stomatal conductance to water vapor (gs, mmol m-2 s-1)
were measured monthly on the youngest fully expanded
leaf blade of the tallest tiller per pot with an open portable
photosynthesis system (LI-6400, LI-COR, Inc., Lincoln,
NE, USA) equipped with a 6 cm2 cuvette. Measurement
dates were DOY 110, 143, 166, 199, 235, 258, and 291.
Gas exchange was measured between 10.00 and 14.00 h
to obtain maximum photosynthesis and stomatal con-
ductance rates. Reference CO2 concentration was held
constant at 380 ppm, and temperature and humidity were
maintained at ambient conditions. Photosynthetic photon
Agroforest Syst (2014) 88:489–503 491
123
flux density (PPFD, lmol m-2 s-1) values were set for
each measurement date, calculated as follows: as gas
exchange rates were measured between 10.00 and
14.00 h, we determined the average PAR over these four
hours for each DOY, and then used the average of the
daily PAR values from DOY 69 to DOY 109 as the PPFD
for DOY 110, and the average of the daily PAR values
from DOY 110 to DOY 142 as the PPFD for DOY 143,
etc.
Biomass harvest
The experiment was terminated on DOY 292 (19
October) 2011. Prior to harvesting the switchgrass,
tiller number was quantified, and one representative
leaf was selected from each of three pots per treatment
for the determination of specific leaf area (m2 kg-1),
used for calculating leaf area (m2) per pot. Fresh leaf
area of the selected samples was obtained by scanning
with an Epson scanner (Epson America, Inc., Long
Beach, CA, USA), and the subsequent digital image
was analysed with ImageJ software (http://rsb.info.
nih.gov/ij/docs/). These samples were dried at 65 �C
to a constant mass and specific leaf area was calculated
as fresh leaf area: dry mass. Aboveground material
was harvested at a height of 10 cm. Belowground
material was processed by cutting the remaining
aboveground material at the soil surface and passing
all belowground matter through a 5 mm sieve.
Remaining aboveground material, i.e. between the soil
surface and 10 cm height was not included in any
analyses to be consistent with field practices (Albaugh
et al. 2012). Above- and belowground components
were oven-dried at 65 �C to a constant mass.
Leaf area index and light-use efficiency
Daily leaf area index (LAI, the ratio of switchgrass
leaf area to pot area) was calculated based on the
developmental pattern reported by Albaugh et al.
(2012) for pure switchgrass grown on the Lower
Coastal Plain of North Carolina, USA. Absorbed PAR
(APAR, MJ m-2 day-1) was calculated using the
Beer–Lambert equation (1) as a function of incident
PAR, LAI and the light extinction coefficient (k):
APAR ¼ PAR 1� exp �k � LAIð Þð Þ ð1ÞA value of 0.33 was used for k as measured by Kiniry
et al. (1999) for switchgrass. Daily values of APAR were
summed over the duration of the experiment and light-
use efficiency was calculated as the cumulative above-
ground dry mass per unit of absorbed PAR.
Field PAR measurements
Field PAR data were collected to make inferences
regarding the stage of pine stand development where
light levels may limit growth of intercropped species.
These PAR data were collected from 44 loblolly pine
stands varying in age (clear cut to 37 years), height (m),
stocking density (trees ha-1), basal area (m2 ha-1),
resource availability (through fertilisation), manage-
ment operations (e.g. thinning), and row orientation
from locations in North and South Carolina, and
Georgia, USA (see Table 8 in Appendix). As peak LAI
in loblolly pine occurs in September (Blinn et al. 2012),
PAR was measured in September 2011 and 2012 on
clear days between 10.00 and 14.00 h with an Accu-
PAR LP-80 ceptometer (Decagon Devices, Inc., Pull-
man, WA, USA). Measurements of incoming (above
canopy) PAR were collected in a clearing, and below
canopy measurements were taken in the area between
pine rows (values were averaged from each of the four
cardinal directions). For those sites where it was not
possible to measure incoming PAR in a clearing, PAR
was calculated as 0.5 9 solar radiation (see Landsberg
1986). Solar radiation was calculated from latitude,
longitude, site elevation, daily precipitation and daily
minimum and maximum air temperature (�C; Spokas
and Forcella 2006). Below canopy PAR was summed
over days 69–292 (to correspond to the greenhouse
experimental period) and used to predict potential
switchgrass biomass production (see non-linear mod-
eling in ‘‘Statistical analyses’’ section). We presented
switchgrass biomass as function of peak pine LAI,
which was calculated for each pine stand using the
Beer–Lambert equation:
Peak LAI ¼ � ln � Below canopy PAR
Above canopy PAR
�k ð2Þ
A value of 0.69 was used for the light extinction
coefficient, k, recommended by Sampson and Allen
(1998) for loblolly pine.
Statistical analyses
Repeated measures analyses were performed on tiller
height and leaf-level gas exchange rates using a mixed
492 Agroforest Syst (2014) 88:489–503
123
model analysis of variance (Proc. Mixed; SAS 2000)
to examine each metric over the growing season using
a heterogeneous autoregressive model of the variance/
covariance matrix structure. Treatment, day of year
and treatment 9 day of year interactions were fixed
effects and block was a random effect. An analysis of
variance (ANOVA) using Proc. GLM (SAS 2000) was
performed to test for treatment effects on the final tiller
number, SLA, leaf area per pot, light-use efficiency
and above- and belowground biomass harvested at the
end of the experiment in October 2011. Student’s t
tests (Proc. TTEST; SAS 2000) were conducted to
compare above- and belowground biomass of switch-
grass grown outside the greenhouse in full sun with
each light level inside the greenhouse. Non-linear
models (Proc. NLIN; SAS 2000) were used to fit a
standardised logistic growth curve (3) to the biomass
data to predict switchgrass biomass as a function of
PAR. This growth curve was standardised with
maximum biomass (parameter c, the asymptote) set
to 1. The model form used was:
Biomass ¼ c
1þ exp �a � x�bð Þð Þð Þ ð3Þ
where a = daily rate of biomass accumulation,
b = inflection point, c = asymptote and x = PAR.
Statistical analyses were based on mean values
calculated for each shade structure. In all cases, an
alpha = 0.05 significance level was used. When a
significant difference was observed using the mixed
model ANOVA, least square means were compared
using the Tukey–Kramer adjustment method for
multiple comparisons between treatments. Dependent
variables were checked for normality and homosce-
dasticity and transformed as necessary. Leaf area data
and biomass data analysed using Proc. GLM and Proc.
TTEST were Loge transformed; tiller number data
were square root transformed. All means and standard
errors are presented as untransformed values.
Results
Temperature and photosynthetically active
radiation
Average daily greenhouse temperatures ranged from
12 �C in March to 38 �C in July; corresponding
outdoor temperatures were 3 and 32 �C, respectively.
Shade cloth structures in the greenhouse created a
PAR gradient with mean daily values ranging from 0.8
to 3.7 MJ m-2 day-1 with corresponding total PAR
values of 180 and 826 MJ m-2 over the experimental
period (Table 1). Switchgrass growing outside the
greenhouse received 7.6 MJ PAR m-2 day-1 and
1,699 MJ m-2 total PAR. The greenhouse roof
reduced incident PAR inside the greenhouse by
51 % (Table 1). Shade treatments inside the green-
house reduced PAR by 36 % (low shade), 52 %
(medium shade) and 78 % (high shade) compared to
the control.
Height growth
Switchgrass height increased from a stubble height of
10 cm on DOY 69 to 58 ± 12 cm under 78 % shade
cloth, 104 ± 13 cm under 52 % shade cloth, and
127 ± 3 cm under no shade cloth (control) and 36 %
shade cloth on DOY 291 in October (Fig. 1). There
were significant treatment, DOY and treatment by
DOY interactions (Table 2). There were no height
differences between the control and low-shade treat-
ment throughout the experiment (Table 3). In May and
June (DOY 139 and 165), height differences were
observed between the control and medium shade
treatment, but these differences were not maintained.
In contrast, height differences occurred between the
control and heavily shaded plants from April (DOY
111) until October (DOY 291).
Table 1 Mean (±SE) daily and cumulative photosynthetically
active radiation (PAR, MJ m-2) measured over the experi-
mental period from March to October 2011 (day of year
69–292) for four light levels in the greenhouse (GH) and one
outdoor treatment in a switchgrass shade experiment in North
Carolina
Treatment Mean daily PAR
(MJ m-2 day-1)
Total PAR
(MJ m-2)
Control: GH with no
shade cloth
3.7 (0.1) 826
Low shade: GH and
36 % shade cloth
2.3 (0.1) 525
Medium shade: GH and
52 % shade cloth
1.8 (0.0) 396
High shade: GH and
78 % shade cloth
0.8 (0.0) 180
Outdoor, no shade 7.6 (0.2) 1,699
Agroforest Syst (2014) 88:489–503 493
123
Leaf-level gas exchange rates
There were significant treatment effects on leaf-level
gas exchange rates, a significant DOY effect for
stomatal conductance, and a significant treatment by
DOY effect for photosynthesis (Tables 2, 3, 4). Max-
imum photosynthesis and stomatal conductance rates
were measured in April (DOY 110) in the control, with
values of 24.8 lmol m-2 s-1 and 164 mmol m-2 s-1,
respectively (Fig. 2). Minimum photosynthesis values
(4.1 lmol m-2 s-1) were measured in July (DOY 199)
in heavily shaded switchgrass, and a minimum stomatal
conductance of 41 mmol m-2 s-1 was recorded in the
medium shaded treatment in October (DOY 291).
Photosynthetic rates measured in the control differed
significantly from the other shaded treatments in April
and June (DOY 110 and 166, respectively), and were
significantly higher than heavily shaded switchgrass in
May (DOY 143) (18.7 vs 5.7 lmol m-2 s-1, respec-
tively, Table 3).
Fig. 1 Switchgrass height growth from 10 cm stubble, during
2011, expressed as day of year (DOY) in a greenhouse without
shade cloth (control) and under 36, 52 and 78 % shade cloth in a
shading experiment in North Carolina, USA. Values presented
are means; error bars indicate the standard error of the mean
Table 2 Mixed model analysis of variance results (P [ F) for
switchgrass height, leaf-level photosynthesis (A) and stomatal
conductance (gs) subjected to four light levels in a greenhouse
experiment in North Carolina
Height A gs
Treatment \0.001 \0.001 \0.001
Day of year (DOY) \0.001 0.068 \0.001
Treatment 9 DOY \0.001 0.035 0.063
Table 3 Differences of the least square means using the Tu-
key–Kramer adjustment method to compute P values (Adj. P)
for comparisons between control (None) and low, medium and
heavily shaded treatments (36, 52 and 78 % shade, respec-
tively) for greenhouse-grown switchgrass tiller height from
April (day of year (DOY) 111 to October (DOY 291), and leaf-
level photosynthesis (A) from DOY 110 to DOY 291, 2011
Shade cloth treatment
comparisons
Tiller height A
DOY Adj. P DOY Adj. P
None 36 % 111 1.000 110 0.029
None 52 % 111 0.546 110 \0.001
None 78 % 111 0.007 110 \0.001
None 36 % 139 0.742 143 0.218
None 52 % 139 0.023 143 0.053
None 78 % 139 \0.001 143 0.001
None 36 % 165 0.538 166 0.003
None 52 % 165 0.007 166 \0.001
None 78 % 165 \0.001 166 \0.001
None 36 % 199 0.998 199 0.999
None 52 % 199 0.881 199 0.993
None 78 % 199 0.023 199 0.104
None 36 % 240 1.000 235 0.997
None 52 % 240 0.487 235 1.000
None 78 % 240 0.002 235 0.370
None 36 % 258 1.000 258 0.586
None 52 % 258 0.981 258 0.965
None 78 % 258 0.010 258 0.094
None 36 % 291 1.000 291 0.253
None 52 % 291 0.990 291 0.092
None 78 % 291 0.016 291 0.106
Results presented for repeated measures switchgrass responses
to different light levels were restricted to comparisons between
plants that were not shaded and those subjected to varying light
intensities inside the greenhouse
Table 4 Differences of the least square means using the
Tukey–Kramer adjustment method to compute P-values (Adj.
P) for pairwise comparisons between control (no shade cloth)
and low, medium and heavily shaded treatments for green-
house-grown switchgrass stomatal conductance measured in a
greenhouse experiment in North Carolina
Shade treatment comparison Adj. P
Control Low shade (36 % shade cloth) 0.032
Control Medium shade (52 % shade cloth) \0.001
Control Heavy shade (78 % shade cloth) \0.001
494 Agroforest Syst (2014) 88:489–503
123
Biomass harvest
Tiller number
After seven months growth, control switchgrass had
significantly more tillers than in the other treatments
(Table 5). Switchgrass grown under low and medium
shade did not differ in tiller number and had signif-
icantly more tillers than plants subjected to high shade
levels.
Specific leaf area and leaf area
Specific leaf area increased with increasing levels of
shade (Table 5). The high shade treatment had signif-
icantly higher SLA (34.6 m2 kg-1) compared to the
control and low shade treatments (20.5 and
24.5 m2 kg-1, respectively). Leaf area decreased with
increasing levels of shade, from a maximum of
0.84 m2 pot-1 in the control to 0.12 m2 pot-1 in pots
subjected to maximum shade (Table 5). Switchgrass
grown under low and medium shade did not differ in
leaf area and had significantly greater leaf area than
plants subjected to high shade levels.
Light-use efficiency
The highest light-use efficiency was measured in the
control (3.7 g MJ-1), followed by low and medium
shade treatments (2.2 and 1.6 g MJ-1, respectively)
and the high shade treatment (1.4 g MJ-1) (Table 5).
Above- and belowground biomass
Switchgrass grown outside in full sun, and the control
pots in the greenhouse accumulated significantly more
above- and belowground, and total biomass compared to
the shaded treatments inside the greenhouse (Table 6;
Fig. 3). Switchgrass grown in full sun accumulated
significantly more biomass in all components compared
to switchgrass grown under low, medium and heavy
shading in the greenhouse. There was no difference in
aboveground biomass between switchgrass grown out-
side in full sun compared to the greenhouse control
Fig. 2 a Leaf-level switchgrass assimilation (A) and b stomatal
conductance (gs) rates measured in 2011 under ambient
temperature and relative humidity conditions, with a CO2
concentration of 380 ppm and photosynthetic photon flux
density set at levels measured in the greenhouse under four
light intensities. Gas exchange rates are presented for each
measured day of year (DOY). Values presented are means; error
bars indicate the standard error of the mean
Table 5 Switchgrass tiller number, specific leaf area (SLA, m2 kg-1), leaf area (m2 pot-1) and light-use efficiency (LUE, g MJ-1)
for plants grown under four light levels in a greenhouse experiment in North Carolina
Treatment Percent of full
sunlight measured outside
the greenhouse (%)
Tiller number SLA Leaf area LUE
No shade cloth (control) 49 107 (11)a 20.5 (1.8)a 0.84 (0.07)a 3.7 (0.2)a
Low shade (36 % shade cloth) 31 49 (4)b 24.5 (1.3)a 0.49 (0.08)ab 2.2 (0.2)b
Medium shade (52 % shade cloth) 23 36 (4)b 28.3 (1.6)ab 0.33 (0.07)b 1.6 (0.3)bc
High shade (78 % shade cloth) 11 19 (2)c 34.6 (1.9)b 0.12 (0.02)c 1.4 (0.2)c
Values presented are means and (standard errors). Means with the same letter are not significantly different from each other
Agroforest Syst (2014) 88:489–503 495
123
(295 g vs 234 g pot-1, respectively; Table 6). However,
belowground and total biomass (189 g and 484 g pot-1,
respectively) were significantly higher in pots receiving
full sun compared to the greenhouse control (141 g and
374 g pot-1, respectively). For shade treatments in the
greenhouse, aboveground biomass ranged from 6 g
to 68 g pot-1, belowground biomass from 3 g to
33 g pot-1, and total biomass from 9 g to 101 g pot-1.
A comparison of outside PAR (full sun treatments) and
the greenhouse control indicated that a 51 % reduction in
PAR (Table 1) did not result in a significant reduction in
aboveground biomass (Table 6), but a 70 % or more
reduction in PAR resulted in significantly decreased
aboveground biomass.
In addition to light, the other factor that likely
influenced growth in this experiment was temperature.
Lethal temperatures can occur in potting medium
adjacent to the sides of black plastic containers
exposed to direct sunlight, which can effectively
reduce pot-rooting volume.
By DOY 292, the roots of switchgrass plants grown
outdoors had fully utilised the potting medium and it is
likely that high temperatures injured or killed these roots
(see Mathers 2003), which may have reduced above-
ground biomass. For this reason, we were uncertain of
the upper limit of switchgrass biomass production for
plants grown in full sun. Results from the greenhouse
showed that there was a linear increase in aboveground
biomass with an increase in PAR. Therefore, we fitted a
linear relationship to these data to estimate biomass
production under full sun (i.e. 1,699 MJ m-2). Using
this relationship, we estimated an aboveground biomass
of 517 g pot-1 compared with our measured value of
295 g pot-1. We then fit two standardised logistic
growth curves (using Eq. 3); one to the estimated
maximum (517 g), and one to the measured maximum
(295 g) to compare differences in predicted switchgrass
biomass as a function of PAR. The parameter estimates
from these growth curves are presented in Table 7.
A measured maximum biomass of 295 g pot-1 yielded
a daily rate of biomass accumulation (parameter a)
of 0.00828 and 95 % confidence limits (CL) of
0.00574–0.01080. The estimated value of the inflection
point (parameter b) was 666 with 95 % CL of 615–717
(Table 7). An estimated maximum biomass of
517 g pot-1 yielded a daily rate of biomass accumula-
tion (parameter a) of 0.00539 and 95 % CL of
0.00397–0.00681. The estimated value of the inflection
point (parameter b) was 867 with 95 % CL of 815–920.
These two models were then applied to PAR data
collected from field studies to produce a range of
estimates of switchgrass biomass under field conditions.
Field PAR measurements
Field PAR measured in 44 loblolly pine stands across
the se-U.S. and summed over DOY 69 to 292 ranged
from 106 MJ m-2 in a 9-year-old stand with
874 stems ha-1 and 18.1 m2 ha-1 basal area to
2,366 ± 147 MJ m-2 in four recently clear-cut stands
with no trees present (see Table 8 in Appendix).
Table 6 Two sample t test results (P [ |t|) for comparisons
between switchgrass above- and belowground, and total bio-
mass (g pot-1) measured after seven months growth in full sun
versus greenhouse-grown switchgrass subjected to four light
levels
Treatment
comparison
Aboveground
biomass
Belowground
biomass
Total
biomass
Full sun vs. control
(no shade cloth)
0.058 0.007 0.041
Full sun vs. low
shade (36 %
shade cloth)
\0.001 \0.001 \0.001
Full sun vs.
medium shade
(52 % shade
cloth)
\0.001 \0.001 \0.001
Full sun vs. heavy
shade (78 %
shade cloth)
\0.001 \0.001 \0.001
250
150
50
50
150
250
350
Full sunlight Control (noshade cloth)
36% shade cloth
52% shade cloth
78% shade cloth
Sw
itchg
rass
bio
mas
s (g
pot
-1)
Treatment
Belowground mass
Aboveground mass
Fig. 3 Above- and belowground biomass for switchgrass
grown outside in full sunlight, and in a greenhouse without
shade cloth (control) and under 36, 52 and 78 % shade cloth in a
shading experiment in North Carolina, USA. Values presented
are means; error bars indicate the standard error of the mean
496 Agroforest Syst (2014) 88:489–503
123
These PAR data, together with parameter estimates
from the standardised logistic growth curves (Table 7)
and field values of switchgrass biomass were used in
Eq. 3 to predict intercropped switchgrass yields in each
of the 44 loblolly pine stands. A maximum field
switchgrass biomass of 5.20 Mg ha-1 was used,
obtained from Albaugh et al. (2012) for pure switchgrass
grown on the Lower Coastal Plain of North Carolina.
Growth curves were significant (P \ 0.001) for above-
and belowground, and total switchgrass biomass, but we
only present data related to aboveground biomass
estimates (Table 7). When PAR data from the loblolly
pine stands were inserted into Eq. 3, simulated switch-
grass biomass ranged from 0.05 to 5.20 Mg ha-1 using
parameter estimates derived from measured biomass
(295 g pot-1), and from 0.08 to 5.20 Mg ha-1 using
parameter estimates derived from estimated biomass
(517 g pot-1); see Table 8 in Appendix. There was a
rapid decline in simulated switchgrass biomass with an
increase in loblolly pine LAI above 1.95 (Fig. 4b) and
2.25 (Fig. 4a) when using estimated and measured
maximum aboveground biomass, respectively, from
switchgrass plants grown outdoors in full sun.
Discussion and conclusion
Shading had a significant effect on all parameters
measured: with increasing shade, switchgrass was
shorter, had fewer tillers, higher SLA, lower leaf area,
lower light-use efficiency and lower biomass
(Tables 5, 6; Figs. 1, 3). Maximum average daily air
temperatures measured were 32 �C (outside) and
38 �C (inside the greenhouse). In warm-season grasses
such as switchgrass, physiological processes and
growth occur optimally at high temperatures (Balasko
and Smith 1971; Hatch 1992; Long 1999).
Switchgrass tiller height growth followed a sig-
moidal curve, with a rapid increase in height early in
the growing season, followed by slower height growth
from July (DOY 199) until measurements ceased in
October (Fig. 1). This seasonal developmental pattern
for height was consistent with field studies. Tiller
height in the control and low shade treatments
(127 ± 3 cm) were within the range reported from
field trials across the U.S. (van Esbroeck et al. 1997;
Heaton et al. 2008; Albaugh et al. 2012) and Canada
(Madakadze et al. 1998).
Table 7 Parameter estimates of the growth rate (a) and
inflection point (b) derived from a standardised logistic growth
curve of switchgrass grown under varying light levels in a
greenhouse experiment in North Carolina and used to predict
aboveground biomass as a function of photosynthetically active
radiation for switchgrass grown as an intercrop
Parameter Estimate Standard
error
95 % Confidence
limits
Measured maximum biomass (295 g pot-1)
a 0.00828 0.00118 0.00574–0.01080
b 665.9 23.6 615.0–716.9
Estimated maximum biomass (517 g pot-1)
a 0.00539 0.00066 0.00397–0.00681
b 867.2 24.3 814.7–919.6
Parameter estimates were derived from two aboveground bio-
mass values; one for measured maximum biomass (295 g pot-1),
and one for estimated maximum biomass (517 g pot-1)
Fig. 4 Aboveground switchgrass biomass estimated from
incoming photosynthetically active radiation measured in 44
loblolly pine stands across the se-U.S. (Table 7; see Table 8 in
Appendix), plotted as a function of loblolly pine leaf area index
(LAI). Data points in a were plotted using parameter estimates
derived from measured maximum biomass (295 g pot-1) and
data points in b were plotted using parameter estimates derived
from estimated maximum biomass (517 g pot-1). In intensively
managed loblolly pine plantations, peak LAI values of 2 occur
on average between age 6 and 8 years across the se-U.S., but this
will vary based on the level of silvicultural intensity
Agroforest Syst (2014) 88:489–503 497
123
As PAR levels decreased inside the greenhouse,
there was a concomitant decrease in tiller number and
leaf area, but an increase in SLA (Table 5). Increases
in SLA in response to shading have been shown for
many species, including switchgrass (Kephart et al.
1992; Kozlowski and Pallardy 1997; Trocsanyi et al.
2009; Devkota and Jha 2010).
Leaf-level photosynthetic rates ranged from 4.1 to
24.8 lmol m-2 s-1 across all treatments and mea-
surement dates (Fig. 2). These values are consistent
with those measured in field trials across the U.S. (e.g.
Skeel and Gibson 1996; Wullschleger et al. 1996;
Sanderson and Reed 2000; Dohleman et al. 2009;
Albaugh et al. 2014), and the wide range suggests
significant capacity of switchgrass to adjust physiol-
ogy to changes in environmental conditions. Stomatal
conductance ranged from 41 to 164 mmol m-2 s-1
across all treatments, which is within the range of
25–356 mmol m-2 s-1 reported in the literature
(Skeel and Gibson 1996; Dohleman et al. 2009;
Albaugh et al. 2014). Our results are similar to Kephart
et al. (1992) who found that even with a higher SLA,
shaded switchgrass leaves intercepted less light,
resulting in reduced photosynthesis in shaded treat-
ments. However, early differences in gas exchange
between the control (49 % of full sunlight) and the
treatments that received 11–31 % of full sunlight were
not maintained for the duration of the experiment
(Tables 2, 3).
Light-use efficiency decreased from 3.7 g MJ-1 in
plants grown at 49 % of full sunlight to 1.4 g MJ-1 in
plants grown at 11 % of full sunlight (i.e., the heavily
shaded treatment with 78 % shade cloth, Table 5).
Therefore, switchgrass growing at higher light inten-
sities was more efficient at converting PAR into
aboveground biomass compared to plants growing at
lower light levels. Reported light-use efficiency values
for the Alamo cultivar range from 1.6 to 5.3 g MJ-1
(Kiniry et al. 1999) and from 2.2 to 4.3 g MJ-1
(Kiniry et al. 2012).
Forest productivity is driven by light interception
via leaf area (Linder 1987; Cannell 1989). In forestry
operations, the goal is rapid site capture, which entails
increasing tree LAI as quickly as possible. However,
this strategy of increasing tree LAI may be counter-
productive to the viability of an intercropped agrofor-
estry system if light interception by a dense overstory
canopy decreases growth of the intercropped species.
Will et al. (2005) found high stem densities and LAI in
four-year-old loblolly pine stands resulted in higher
levels of intercepted radiation compared to low stem
densities and low LAI. In an intercropping study,
Burner and Brauer (2003) showed that productivity of
tall fescue (Schedonorus arundinaceus (Schreb.) Du-
mort.) was reduced by the fifth growing season, which
they attributed to radiation interception by the loblolly
pine canopy. Further, Bellow and Nair (2003) reported
that LAI had a strong negative linear relationship with
PAR measured beneath a range of tree species in Costa
Rica.
Researchers reporting on intercropping agrofor-
estry studies conducted in southeastern and midwest-
ern U.S. have also cited basal area or light levels as
determinants of intercropping success. For example,
forage grasses were successfully grown between tree
rows in a 26-year-old loblolly pine plantation man-
aged for sawtimber production in Louisiana, USA
(Clason 1999). According to Clason (1999), canopy
shading likely had little impact on forage yields
because residual pine basal area averaged 11 m2 ha-1.
In a thinning study in Missouri, USA, Ehrenreich
(1960) reported that the yield of warm-season grass
grown with 30-year-old shortleaf pine was increased
4–5 times when the pine basal area was reduced from
29.8 to 16.1 m2 ha-1. Furthermore, grass yields were
increased more than 14 times when pine basal area was
further reduced to 11.5 m2 ha-1. In a study of
switchgrass grown for forage in full sun and under a
natural stand of 45–50-year-old longleaf pine thinned
to 11.5 m2 ha-1 in Louisiana, USA, Pitman (2000)
suggested that the pine overstory provided a compet-
itive advantage to switchgrass during establishment,
as weeds dominated the plots in full sun. Light
measurements collected near midday under the pine
canopy ranged from 10 to 100 % of full sunlight with
an average of 65 % throughout the plot area (Pitman
2000). In another study in Louisiana, USA, switch-
grass was successfully established in juvenile and late-
rotation stands, but loblolly pine had a negative impact
on switchgrass biomass in mid-rotation stands (Blazier
et al. 2012). There were negative correlations between
pine basal area and switchgrass biomass in mid-
rotation stands, and even trees planted at a low density
of 250 stems ha-1 suppressed switchgrass growth
(Blazier et al. 2012). These results suggest that
intercropping with switchgrass may be a viable option
late in the rotation, after a thinning operation, provided
residual basal area is less than 18 m2 ha-1 and
498 Agroforest Syst (2014) 88:489–503
123
sufficient leaf area is removed such that incoming
PAR is not reduced by more than 65 %.
Integrated land management regimes that involve a
mix of traditional products and biofuel crops would
likely offer the greatest returns on investment and
provide flexibility to adapt to changing market con-
ditions (Munsell and Fox 2010; Vance 2010). These
kinds of multiple land-use systems have been suc-
cessfully established in the se-U.S. with loblolly pine
intercropped with switchgrass, grown as a biofuel
feedstock (Albaugh et al. 2012; Blazier et al. 2012).
However, the longevity of these systems is unknown,
and key interactions between pines and switchgrass
need to be examined. As we present here, light
interception by the pine canopy and subsequent
shading may negatively affect switchgrass growth.
In addition, success of an intercropped agroforestry
system will also be determined by potential below-
ground interactions between these species, and this
requires further investigation.
Growth rate data collected from this greenhouse
study exhibited the same seasonal trends as has been
observed in field studies. In addition, SLA, gas
exchange and light-use efficiency values were
consistent with field trials. However, there are
limitations of pot studies, and these results should
be confirmed in field experiments. As sunlight
passes through tree canopy plantations, there is a
change in both light quantity and quality. Light
quality is altered because leaves preferentially
absorb light in the 400–700 nm wave band, resulting
in a lower red:far-red ratio under plantations com-
pared to full sun (Wilson and Ludlow 1991; Leight
and Silander 2006). These changes in the red:far-red
ratio are perceived by understory plants through the
phytochrome system that may change morphoge-
netic characters in plants (Smith 1982), such as leaf
extension and expansion, and tiller elongation rate
(Casal et al. 1985, 1987). According to Peri et al.
(2007), it is likely that leaf area is maintained or
increased to maximise light interception at the
expense of leaf thickness. This results in longer,
narrower and thinner leaves compared with those
grown in full sun. In addition, reduced light
intensity and changes in light quality have been
reported to reduce tillering and leaf area index (Peri
et al. 2007). In our study, switchgrass responses to
reduced PAR were quantified under a simulated
shade environment and measuring light quality was
not part of our study. According to Varella et al.
(2011), the red:far-red ratio is not altered by black
shade cloth. Therefore, it is possible that lower
switchgrass biomass yields than our calculated
values could be obtained when intercropped with
loblolly pine. However, this needs to be determined.
Leight and Silander (2006) suggest that plant
responses to changes in the red:far-red ratio may
be species specific. As such, it is important to study
the different ways that plants respond to changes in
the red: far-red ratio to provide a mechanistic
understanding of response processes in a forest
understory.
In addition, our yield predictions were made from
switchgrass growing under shade cloth with a steady
state reduction in light. In pine plantations, the light
environment will likely be more dynamic as light
passes through the canopy as sunflecks. However,
most sunflecks are of a short duration and the
thylakoid apparatus needs to be extensively modified
in order for the leaf to harvest these brief bursts of
photons and store the excitation energy until the
carbon reducing cycle reactions can utilise it (Sharkey
et al. 1986; Pearcy 1990). In C4 plants, two biochem-
ical cycles have to be activated following the onset of
the sunfleck, and these plants will likely have a slower
ability than C3 plants to respond to sunflecks (Sage and
Pearcy 2000). According to Krall and Pearcy (1993),
maize (a C4 plant) has a poor ability to utilise short-
duration (\10 s) sunflecks, possibly because the C4
metabolic cycle is unable to activate at a pace rapid
enough to assimilate the initial influx of CO2 from the
mesophyll. Switchgrass may likely respond to sun-
flecks in a similar way to maize; however, this would
need to be determined.
We predicted switchgrass biomass when grown as a
biofuel intercrop in a range of stands typical of forestry
sites across the se-U.S. Predicted aboveground switch-
grass production was variable, and ranged from
0.05 Mg ha-1 to 5.20 Mg ha-1 year-1 (see Table 8
in Appendix). Our results suggest that switchgrass
yields will not be affected by a 50 % reduction in
PAR, but beyond a threshold reduction in PAR
between 60 and 65 %, or an overstory LAI between
1.95 and 2.25, it is likely that switchgrass yields will
be significantly reduced (Fig. 4). In these field studies,
pine LAIs of 1.95–2.25 corresponded to a basal area
range of 16–21 m2 ha-1 and a 60–65 % reduction in
PAR, suggesting that switchgrass growth will be
Agroforest Syst (2014) 88:489–503 499
123
significantly reduced when overstory canopy reduces
PAR beyond a 60 % full sun threshold.
Our results suggest that switchgrass may still be
highly productive even when half of the incident PAR is
intercepted by an overstory tree canopy. However, it is
unknown how long this would persist and the significant
exponential decrease in belowground biomass with
increased shading has implications for carbon seques-
tration, indicating that the potential of switchgrass to
sequester carbon (Ma et al. 2000; Garten et al. 2010)
may not be realised under low light levels. In intensively
managed loblolly pine plantations across the se-U.S.,
peak LAI values of 1.95–2.25 occur on average between
age 6–8 years (Sampson et al. 2008), but this will vary
with the level of silvicultural intensity based on
practices such as the extent of site preparation,
fertilisation, pruning and thinning. Further, switchgrass
growers need to account for other drivers of economic
viability of growing this species as a biofuel intercrop,
including costs relating to establishment, harvesting and
transport (George et al. 2008), tax incentives, and farm-
gate feedstock cost and conversion efficiency into
ethanol (Mitchell et al. 2008).
Acknowledgments We acknowledge North Carolina State
University, Weyerhaueser Company, Catchlight Energy LLC (a
Chevron and Weyerhaeuser joint venture) and the Forest
Productivity Cooperative for funding and support. We are
grateful to Mr. Sam Brake from the North Carolina Biofuels
Center for advice and for supplying the switchgrass seedlings,
and to Dr. Chris Maier from the Forest Service for access to
unpublished data. Samuel Honeycutt assisted with the biomass
harvest and sample processing. Additional funding for research
was provided by United States Department of Agriculture NIFA-
AFRI Sustainable Bioenergy grant number 2011-67009-20089.
Appendix
See Table 8.
Table 8 Characteristics of loblolly pine stands across the se-U.S. where photosynthetically active radiation (PAR) data were
collected and used to predict aboveground switchgrass biomass when grown as an intercropped feedstock for biofuel
Location Pine age
(years)
Pine
height
(m)
Pine
DBH
(cm)
Pine BA
(m2 ha-1)
Pine
stocking
(stems ha-1)
Pine LAI
(m2 m-2)
PAR
(MJ m-2)
Switchgrass biomass
(Mg ha-1)
(295 g pot-1) (517 g pot-1)
NC 9 12.1 16.1 18.1 874 4.5 106 0.05 0.08
NC 37 23.1 38.5 23.8 199 4.3 125 0.06 0.09
SC 8 14.9 16.3 27.3 1,292 4.2 169 0.08 0.12
GA 14 15.2 18.9 45.8 1,586 4.2 180 0.09 0.13
GA 14 13.0 17.0 38.6 1,654 3.9 233 0.14 0.17
SC 8 14.6 15.9 26.2 1,292 3.6 245 0.16 0.18
GA 14 12.5 16.1 39.7 1,873 3.7 262 0.18 0.19
SC 8 15.4 16.8 28.3 1,270 3.3 307 0.25 0.24
SC 8 15.2 16.5 27.7 1,281 3.3 308 0.25 0.24
SC 8 14.9 16.2 27.0 1,281 3.3 315 0.27 0.25
SC 14 13.2 18.5 34.0 1,236 3.4 316 0.27 0.25
GA 14 13.4 18.4 36.2 1,348 3.3 335 0.31 0.28
SC 14 13.4 18.1 34.3 1,304 3.3 341 0.33 0.29
SC 14 13.5 17.5 33.0 1,338 3.3 345 0.34 0.29
SC 8 15.9 16.4 27.2 1,270 3.1 354 0.37 0.31
SC 14 12.9 17.1 31.9 1,373 3.2 364 0.40 0.32
SC 8 15.0 16.3 27.4 1,292 3.0 374 0.43 0.34
SC 14 13.1 19.5 35.5 1,167 3.1 388 0.47 0.36
SC 8 15.9 16.4 27.5 1,281 2.9 403 0.53 0.39
SC 14 13.4 18.1 31.8 1,201 2.9 427 0.63 0.44
SC 14 13.6 19.2 36.4 1,236 2.9 442 0.70 0.48
SC 8 15.8 16.2 26.8 1,281 2.7 456 0.78 0.51
500 Agroforest Syst (2014) 88:489–503
123
References
Albaugh JM, Sucre EB, Leggett ZH, Domec J-C, King JS (2012)
Establishment success of switchgrass in an intercropped
forestry system on the Lower Coastal Plain of North Car-
olina, USA. Biomass Bioenergy 46:673–682
Albaugh JM, Domec J-C, Maier C, Sucre EB, Leggett ZH, King JS
(2014) Gas exchange and stand-level estimates of water use
and gross primary productivity in an experimental pine and
switchgrass intercrop forestry system on the Lower Coastal
Plain of North Carolina, USA. Agric For Meteorol
192–193:27–40
Balasko JA, Smith D (1971) Influence of temperature and
nitrogen fertilization on the growth and composition of
switchgrass (Panicum virgatum L.) and timothy (Phelum
pratense L.). Agron J 63:853–856
Bellow JG, Nair PKR (2003) Comparing common methods for
assessing understory light availability in shaded-perennial
agroforestry systems. Agric For Meteorol 114:197–211
Blazier M (2014) Perfect pair for biofuel: switchgrass and trees.
Inside Agrofor 22:4–5
Blazier MA, Clason TR, Vance ED, Leggett Z, Sucre EB (2012)
Loblolly pine age and density affects switchgrass growth
and soil carbon in an agroforestry system. For Sci
58:485–496
Blinn CE, Albaugh TJ, Fox TR, Wynne RH, Stape JL, Rubilar
RA, Allen HL (2012) A method for estimating deciduous
competition in pine stands using Landsat. South J Appl For
36:71–78
Burner DM, Brauer DK (2003) Herbage response to spacing of
loblolly pine trees in a minimal management silvopasture
in southeastern USA. Agrofor Syst 57:69–77
Cannell MGR (1989) Physiological basis of wood production: a
review. Scand J For Res 4:459–490
Casal JJ, Deregibus VA, Sanchez RA (1985) Variations in tiller
dynamics and morphology in Lolium multiflorum Lam.
vegetative and reproductive plants as affected by differ-
ences in red/far-red irradiation. Ann Bot 56:553–559
Table 8 continued
Location Pine age
(years)
Pine
height
(m)
Pine
DBH
(cm)
Pine BA
(m2 ha-1)
Pine
stocking
(stems ha-1)
Pine LAI
(m2 m-2)
PAR
(MJ m-2)
Switchgrass biomass
(Mg ha-1)
(295 g pot-1) (517 g pot-1)
SC 8 15.6 15.9 26.0 1,292 2.7 466 0.84 0.54
SC 14 13.2 17.4 32.3 1,304 2.8 485 0.95 0.59
SC 8 14.5 14.6 22.4 1,281 2.6 491 0.99 0.60
GA 14 15.1 21.9 19.4 508 2.6 551 1.45 0.80
SC 14 12.7 17.3 30.4 1,236 2.5 586 1.77 0.94
SC 8 15.6 16.1 25.9 1,270 2.3 595 1.86 0.97
GA 14 13.7 21.7 19.3 517 2.5 600 1.91 1.00
SC 14 12.6 17.2 29.6 1,236 2.5 601 1.92 1.00
GA 14 15.5 20.7 17.3 511 2.5 609 1.99 1.03
GA 14 15.0 20.5 17.4 520 2.4 633 2.25 1.15
GA 14 14.6 21.6 18.7 506 2.4 646 2.39 1.21
GA 14 13.6 21.2 16.8 474 2.1 795 3.87 2.10
GA 14 14.5 22.0 19.0 496 2.1 805 3.95 2.17
SC 14 10.9 14.9 20.7 1,167 2.0 807 3.97 2.18
SC 14 10.0 13.0 18.0 1,304 1.9 871 4.40 2.63
GA 14 13.5 18.6 14.4 522 1.9 885 4.47 2.72
NC 3 2.9 3.8 1.2 884 0.8 1,283 5.17 4.70
NC 4 3.9 4.8 1.7 1,053 0.4 1,700 5.20 5.14
NC Clear-cut – – – – 0 1,972 5.20 5.19
SC Clear-cut – – – – 0 2,313 5.20 5.20
SC Clear-cut – – – – 0 2,556 5.20 5.20
GA Clear-cut – – – – 0 2,622 5.20 5.20
Switchgrass biomass was predicted using parameter estimates derived from measured maximum biomass (295 g pot-1) and
estimated maximum biomass (517 g pot-1) (see Table 7). Data are listed according to ascending predicted switchgrass biomass,
presented as Mg ha-1 over the growing season from March to October
NC, North Carolina; SC, South Carolina; GA, Georgia; DBH, diameter at breast height; BA, basal area; LAI, leaf area index; –,
indicates there were no data
Agroforest Syst (2014) 88:489–503 501
123
Casal JJ, Sanchez RA, Deregibus VA (1987) Tillering responses
of Lolium multiflorum plants to changes of red/far-red
ratios typical of sparse canopies. J Exp Bot 38:1432–1439
Clason TR (1999) Silvopastoral practices sustain timber and
forage production in commercial loblolly pine plantations
of northwest Louisiana, USA. Agrofor Syst 44:293–303
Dale VH, Kline KL, Wiens J, Fargione J (2010) Biofuels:
implications for land use and biodiversity. Biofuels and
sustainability reports. Ecological Society of America,
Ithaca
Devkota A, Jha PK (2010) Effects of different light levels on the
growth traits and yield of Centella asiatica. Middle-East J
Sci Res 5:226–230
Dohleman FG, Heaton EA, Leakey ADB, Long SP (2009) Does
greater leaf-level photosynthesis explain the larger solar
energy conversion efficiency of Miscanthus relative to
switchgrass? Plant Cell Environ 32:1525–1537
Downing M, Walsh M, McLaughlin S (1996) Perennial grasses
for energy and conservation. In: Lockeretz W (ed) Envi-
ronmental enhancement through agriculture. Tufts Uni-
versity, Medford, pp 217–224
Ehrenreich JH (1960) Useable forage under pine stands. U.S.
Department of Agriculture Forest Service, Central States
Forest Experiment Station, Station Note 142, Columbus,
OH
Fuentes RG, Taliaferro CM (2002) Biomass yield stability of
switchgrass cultivars. Trends New Crops New Uses
2002:276–282
Garten CT Jr, Smith JL, Tyler DD, Amonette JE, Bailey VL,
Brice DJ, Castro HF, Graham RI, Gunderson CA, Izaurr-
alde RC, Jardine PM, Jastrow JD, Kerley MK, Matamala R,
Mayes MA, Metting FB, Miller RM, Moran KK, Post WM
III, Sands RD, Schadt CW, Phillips JR, Thomson AM,
Vugteveen T, West TO, Wullschleger SD (2010) Intra-
annual changes in biomass, carbon, and nitrogen dynamics
at 4-year old switchgrass field trials in west Tennessee,
USA. Agric Ecosyst Environ 136:177–184
George N, Tungate K, Hobbs A, Fike J, Atkinson A (2008) A
guide for growing switchgrass as a biofuel crop in North
Carolina. North Carolina Solar Center, North Carolina
State University, Raleigh, NC
Hatch MD (1992) C4 photosynthesis: an unlikely process full of
surprises. Plant Cell Physiol 33:333–342
Heaton EA, Voigt T, Long SP (2004) A quantitative review
comparing the yields of two candidate C4 perennial bio-
mass crops in relation to nitrogen, temperature and water.
Biomass Bioenergy 27:1–30
Heaton EA, Dohleman FG, Long S (2008) Meeting US biofuel
goals with less land: the potential of Miscanthus. Glob
Change Biol 14:1–15
Kephart KD, Buxton DR, Taylor SE (1992) Growth of C3 and C4
perennial grasses under reduced irradiance. Crop Sci
32:1033–1038
Kiniry JR, Tischler CR, van Esbroeck GA (1999) Radiation use
efficiency and leaf CO2 exchange for diverse C4 grasses.
Biomass Bioenergy 17:95–112
Kiniry JR, Johnson M-VV, Bruckerhoff SB, Kaiser JU, Cord-
siemon RL, Harmel RD (2012) Clash of the titans: com-
paring productivity via radiation use efficiency for two
grass giants of the biofuel field. Bioenerg. Res. 5:41–48
Kozlowski TT, Pallardy SG (1997) Physiology of woody plants,
2nd edn. Academic Press, London
Krall JP, Pearcy RW (1993) Concurrent measurements of oxy-
gen and carbon dioxide exchange during light-flecks in
maize (Zea mays L.). Plant Physiol 103:823–828
Landsberg JJ (1986) Physiological ecology of forest production.
Academic Press, London
Leight SA, Silander JA Jr (2006) Differential responses of
invasive Celastrus orbiculatus (Celastraceae) and native C.
scandens to changes in light quality. Am J Bot 93:972–977
Li F, Meng P, Fu D, Wang B (2008) Light distribution, photo-
synthetic rate and yield in a Paulownia-wheat intercrop-
ping system in China. Agrofor Syst 74:163–172
Linder S (1987) Responses to water and nutrients in coniferous
ecosystems. In: Schulze ED, Wolfer HZ (eds) Potentials
and limitations of ecosystems analysis. Ecological studies.
Springer-Verlag, Berlin, pp 180–202
Long SP (1999) Environmental responses. In: Sage RF, Monson
RK (eds) C4 plant biology. Academic Press, San Diego,
pp 215–249
Ma Z, Wood CW, Bransby DI (2000) Impacts of soil manage-
ment on root characteristics of switchgrass. Biomass Bio-
energy 18:105–112
Madakadze I, Coulman BE, Stewart K, Peterson P, Samson R,
Smith DL (1998) Phenology and tiller characteristics of big
bluestem and switchgrass cultivars in a short growing
season area. Agron J 90:489–495
Mathers HM (2003) Summary of temperature stress issues in
nursery containers and current methods of protection.
HortTechnology 13:617–624
McLaughlin SB, Kszos LA (2005) Development of switchgrass
(Panicum virgatum) as a bioenergy feedstock in the United
States. Biomass Bioenergy 28:515–535
McLaughlin S, Bouton J, Bransby D, Conger B, Ocumpaugh W,
Parrish D, Taliaferro C, Vogel K, Wullschleger S (1999)
Developing switchgrass as a bioenergy crop. Perspect New
Crops New Uses 1999:282–299
Mitchell R, Vogel KP, Sarath G (2008) Managing and
enhancing switchgrass as a bioenergy feedstock. Biofuels
Bioprod Biorefin 2:530–539
Monteith JL (1981) Climatic variation and growth of crops. Q J
R Met Soc 107:749–774
Munsell JF, Fox TR (2010) An analysis of the feasibility for
increasing woody biomass production from pine planta-
tions in the southern United States. Biomass Bioenergy
34:1631–1642
Parrish DJ, Fike JH (2005) The biology and agronomy of
switchgrass for biofuels. Crit Rev Plant Sci 24:423–459
Pearcy RW (1990) Sunflecks and photosynthesis in plant can-
opies. Annu Rev Plant Physiol Plant Mol Biol 41:421–453
Peri PL, Lucas RJ, Moot DJ (2007) Dry matter production,
morphology and nutritive value of Dactylis glomerata
growing under different light regimes. Agrofor Syst
70:63–79
Pitman WD (2000) Adaptation of tall-grass prairie cultivars to
west Louisiana. J Range Manage 53:47–51
Sage RF, Pearcy RW (2000) The physiological ecology of C4
photosynthesis. In: Leegood RC, Sharkey TD, von Caem-
merer S (eds) Photosynthesis: physiology and metabolism.
Kluwer Academic, Dordrecht, pp 497–532
502 Agroforest Syst (2014) 88:489–503
123
Sampson DA, Allen HL (1998) Light attenuation in a 14-year-
old loblolly pine stand influenced by fertilization and irri-
gation. Trees 13:80–87
Sampson DA, Wynne RH, Seiler JR (2008) Edaphic and cli-
matic effects on forest stand development, net primary
production, and net ecosystem productivity simulated for
Coastal Plain loblolly pine in Virginia. J Geophys Res
113:1–14
Sanderson MA (1992) Morphological development of switch-
grass and kleingrass. Agron J 84:415–419
Sanderson MA, Reed RL (2000) Switchgrass growth and
development: water, nitrogen, and plant density effects.
J Range Manage 53:221–227
Sanderson MA, Reed RL, McLaughlin SB, Wullschleger SD,
Conger BV, Parrish DJ, Wolf DD, Taliaferro C, Hopkins
AA, Ocumpaugh WR, Hussey MA, Read JC, Tischler C
(1996) Switchgrass as a sustainable bioenergy crop. Bior-
esour Technol 56:83–93
SAS Institute (2000) SAS Software version 9.2. SAS Institute,
Cary, NC
Sharkey TD, Seemann JR, Pearcy RW (1986) Contribution of
metabolites of photosynthesis to postillumination CO2
assimilation in response to lightflecks. Plant Physiol
82:1063–1068
Skeel VA, Gibson DJ (1996) Physiological performance of
Andropogon gerardii, Panicum virgatum, and Sorgha-
strum nutans on reclaimed mine spoil. Restor Ecol
4:355–367
Smith H (1982) Light quality, photoperception, and plant
strategy. Annu Rev Plant Physiol 33:481–518
Spokas K, Forcella F (2006) Estimating hourly incoming solar
radiation from limited meteorological data. Weed Sci
54:182–189
Tolbert VR, Schiller A (1996) Environmental enhancement
using short-rotation woody crops and perennial grasses as
alternatives to traditional agricultural crops. In: Proceed-
ings of a conference on environmental enhancement
through agriculture, Boston, MA, pp. 209–216
Trocsanyi ZSK, Fieldsend AF, Wolf DD (2009) Yield and
canopy characteristics of switchgrass (Panicum virgatum
L.) as influenced by cutting management. Biomass Bio-
energy 33:442–448
Van Esbroeck GA, Hussey MA, Sanderson MA (1997) Leaf
appearance rate and final leaf number of switchgrass cul-
tivars. Crop Sci 37:864–870
Vance E (2010) Current and potential capabilities of wood
production systems in the southeastern U.S. Biomass
Bioenergy 34:1629–1630
Varella AC, Moot DJ, Pollack KM, Peri PL, Lucas RJ (2011) Do
light and alfalfa responses to cloth and slatted shade rep-
resent those measured under an agroforestry system? Ag-
rofor Syst 81:157–173
Vogel KP (2004) Switchgrass. In: Moser LE, Burson BL, Sol-
lenberger LE (eds) Warm-season (C4) grasses. American
Society of Agronomy Inc.; Crop Science Society of
America, Inc.; Soil Science Society of America, Inc.,
Madison, pp 561–588
Will RE, Narahari NV, Shiver BD, Teskey RO (2005) Effects of
planting density on canopy dynamics and stem growth for
intensively managed loblolly pine stands. For Ecol Manage
205:29–41
Wilson JR, Ludlow MM (1991) The environment and potential
growth of herbage under plantations. In: Shelton HM, Stur
WW (eds) Forages for plantation crops. Australian Centre
for International Agriculture Research Proceedings No. 32,
Canberra, pp. 10–24
Wright LL (1994) Production technology status of woody and
herbaceous crops. Biomass Bioenergy 6:191–209
Wullschleger SD, Sanderson MA, McLaughlin SB, Biradar DP,
Rayburn AL (1996) Photosynthetic rates and ploidy levels
among populations of switchgrass. Crop Sci 36:306–312
Zan CS, Fyles JW, Girouard P, Samson RA (2001) Carbon
sequestration in perennial bioenergy, annual corn and
uncultivated systems in southern Quebec. Agric Ecosyst
Environ 86:135–144
Agroforest Syst (2014) 88:489–503 503
123