biomass production in multispecies and grass monoculture
TRANSCRIPT
Biomass production in
multispecies and grass
monoculture swards under
cutting and rotational grazing
Rosemary Collins (AU-IBERS), Rémy
Delagarde (INRA-Saint-Gilles) and Sébastien
Husse (Agroscope)
Experiment was carried out as part of
FP7 project ‘Multisward’
Structure
A brief description of CONTEXT
The RATIONALE behind the experiment
How this work fitted into MULTISWARD
The main RESULTS:
• Effects of sward type
• Effects of grazing animal
• Species dynamics
Some CONCLUSIONS
Throughout this presentation
‘MSS’ = multispecies swards
Context
Some background…
Ecological research shows that the production of plant biomass is enhanced by
species diversity
BUT
This has mostly been carried out in species-rich and nutrient-poor systems (low
productivity)
Can we extend these results to fertile agricultural systems (high productivity)?
Studies have shown yield benefits of MSS over
pure stands under cutting e.g. COST 852
project
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High yielding sites Low yielding sitesRelative yield
advantage of
average mixture
vs. monoculture
(%)
Site
From Finn et al.,
2013, J. Appl. Ecol.
50, 365-375
Here, the yield benefit of mixtures was observed across a
range of site productivities over a 3-year period – so not
restricted to ‘low yielding’ sites
This increased productivity in MSS results
from diversity effects due to:
- Niche differentiation (improved use of resources in space or
time)
- Facilitation (positive interactions between species e.g. legume-
grass N-sparing or N-transfer processes)
Rationale
Q: Can we extend ‘ecological’ results to
productive agricultural systems?
A: Yes, but the impact of grazing by large
herbivores needs more research.
In this experiment we analysed responses
of MSS to grazing, with cutting
management as a reference
How did this research contribute
to Multisward?
A ‘Common Experiment’ (CE) was
carried out in many sites as part of
Multisward Work Package 2.
Some sites in the CE added grazing
animals.
Sites/Institutes involved in CE
Agroscope (1) CH
Tänikon
AU-IBERS (2) UK
Aberystwyth
INRA (3) FR
Rennes
PULS (4) PL
Brody; Szelejewo
UMB (5) NO
Ås
1
2
3
4
5
This achieved a good geographical spread across Europe, adding significant
value to the results. These sites added the grazing element: 1, 2 & 3
Site Sward dynamics,
DM yield
Grazing animal Animal
production
AU-IBERS
cut vs grazed+ Sheep
Agroscope
cut vs grazed+ Beef cattle
INRA-Rennes
cut vs grazed+ Dairy cows +
PULS (2 sites)
cutting only+ No
UMB
cutting only+ No
This presentation focuses on the three sites with a grazing
component.
Multisward CE Structure
Composition of MSS:
First step was to select
appropriate mixture components
Choice of species
• Research has shown that strong ecosystem responses to
species number can occur at low levels of species richness e.g. 4
species (Kirwan et al., 2007, J. Ecol. 95, 530-539)
• Therefore, the selection of a small number of species with
appropriate functional traits can potentially deliver positive
ecosystem responses
• MSS can be strategically designed to maximise:
- niche complementarity
- interspecific interactions Improved resource utilisation
Increased production of
biomass of high forage
quality
Choice of species
• For the Multisward CE we used a ‘functional group’ approach to species
selection.
• Species were strategically selected to maximise the diversity effect, whilst
also being of agronomic relevance.
• We combined a ‘shallow’ vs ‘deep’ rooting species contrast within a
‘non N-fixing’ vs ‘N-fixing’ contrast.
• Four selected species in the multi-species mixtures were:
1. Non-fixing species [shallow] Non-fixing 1 = perennial ryegrass
2. Non-fixing species [deep] Non-fixing 2 = tall fescue or chicory
3. N-fixing species [shallow] Legume 1 = white clover
4. N-fixing species [deep] Legume 2 = red clover
This combination should maximise niche complementarity and
provide opportunities for positive interspecies interactions to occur
Sward
types
Non-fixing
1: PRG
Non-fixing
2: Tall
fescue or
chicory
Legume 1:
White clover
Legume 2:
Red clover
1 M1 0 0 0
2 2/3 1/3 0 0
3 2/3 0 1/6 1/6
4 1/2 1/6 1/6 1/6
5 1/3 1/3 + 1/2 1/2 1/4
1 H1 0 0 0
Sward types included in the CE
1M = Moderate-N PRG monoculture
1H = High-N PRG monoculture treatment (x 2 level of N fertiliser applied to the other sward types)
Fractions refer
to the
proportion of
the
monoculture
sowing rate in
common use at
each site
The 5-spp mixture was
only implemented in
INRA-Rennes
We compared the productivity of MSS with that of the current agronomic standard
(highly fertilized pure stands of perennial ryegrass).
Measurements
What the CE measured:
• We quantified sward DM yields under
rotational grazing: biomass accumulation and removal to a
target sward height
cutting: mechanical cutting to the same height
• Sward types under cutting/grazing received the same external N
inputs and were defoliated at the same time, providing a robust
comparison of these managements.
Results
1. Beef cattle grazing to 6 cm
Agroscope
Cumulative total DM yield (kg/ha): 18 harvests
Sward type
High N PRG
(350 kgN/ha/yr)
• Averaged over sward
type, yield under
grazing was higher
than under cutting.
• Sward types 3, 4
(legume-based) and
1H (high N PRG mono)
were highest yielding,
averaged over
management.
• No sward type x
management
interaction occurred.
+ Legume
High N PRG
300 kgN/ha/yr
2. Sheep grazing to 5 cm
AU-IBERS
Cumulative total DM yield (kg/ha): 12 harvests
Sward type
+ Legume
• Yields were higher
under cutting, and in
sward types 3 and 4
(legume-based).
• An interaction between
management and sward
type was due to
differential response of
legume (3 and 4) and
non-legume (1, 2)
based sward types to
grazing. Grazing
reduced yields in
legume-based mixtures,
when compared with
cutting.
In this site CUT
plots were set
up only in
Treatments 1M
and 1H (low- and
high-N perennial
ryegrass
monocultures).
The site used
an extra
treatment (5
spp), instead of
treatment 2.
Sward type
High N PRG
165 kgN/ha/yr
3. Dairy cows grazing to 4 cm
INRA-Rennes
Cumulative total DM yield (kg/ha): 13 grazing harvests; 10 cutting harvests
Grazed yield in 1M* calculated
from 10 harvests to allow a direct
comparison with cut yield
+ Legume
INRA-Rennes
Within the cutting management, sward type 1H (high N
PRG mono) was higher yielding than 1M (moderate N
PRG mono).
No effect of cutting vs grazing management on yields
in 1M*.
No effect of sward type on yields under grazing.
DM yield: Conclusions
1. There were different responses of sward types to management at
different sites – could be due to using different grazing animals. Sheep
and cattle differ in their species selectivity when grazing.
Sheep grazing reduced the yield of legume-based swards (AU-IBERS),
whereas cattle grazing did not have this effect (Agroscope, INRA-
Rennes).
2. Our results show that there was no detriment to sward yield in
legume-based MSS compared to high N PRG monos under either
cutting or grazing.
This represents a substantial economic and environmental saving.
A quick look at legume species dynamics
(AU-IBERS)
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Start Yr1
Start Yr2
End Yr 2 Start Yr3
End Yr 3
% S
ow
n S
pe
cie
s D
M
Grazed white clover
3
4
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70
80
90
100
Start Yr1
Start Yr2
End Yr 2 Start Yr3
End Yr 3
% S
ow
n S
pe
cie
s D
M
Cut white clover
3
4
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90
100
Start Yr1
Start Yr2
End Yr 2 Start Yr3
End Yr 3
% S
ow
n S
pe
cie
s D
M
Grazed red clover
3
4
0
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30
40
50
60
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80
90
100
Start Yr1
Start Yr2
End Yr 2 Start Yr3
End Yr 3
% S
ow
n S
pe
cie
s D
M
Cut red clover
3
4
%WC decreased during each
summer, when plots were
grazed
%WC remained fairly stable
under cutting
%RC had decreased
substantially under grazing by
end of Yr 2
%RC decreased
substantially by end of Yr 2,
but was still present
Sward type
Legume species dynamics: Conclusions
Under rotational sheep grazing, %legume contribution to
sward yield over time was vulnerable.
This was particularly the case in red clover.
Under cutting, white clover maintained a stable contribution of
c. 35%.
%red clover decreased sharply, but still maintained a useful c.
10% contribution.
Management is key for legume persistence:
The grazing regime implemented in Aberystwyth
did not promote legume biomass
Thanks
• To my co-authors
• To fellow participants in the Multisward Common Experiment
• To my colleagues in AU-IBERS for all their help
• To you for your attention
Any
questions?