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EIPeTopicutilisa Group
1. WApproximin the spermane
IP-Aerma
: Benchmation at
p member
Why benmately half oociety. Utilisent grassland
AGRanemarkingnationa
rs: Elsaes
nchmarkof the Europesed agricultud, permanen
RI Fent G
g Europeal and re
sser, O`D
king of Eean Union’s ural area (UAnt crops (e.g
FocGraean Grasegional le
Donovan,
Europealand is farmeAA) in EU isg. vineyards)
cus ssla
ssland pevels
Peeters,
n grassled, highlights defined as) and kitche
Grand
roductio
Hulin, Br
land is nting the impos the area tan gardens.
roup
on and
randsma
needed? ortance of agaken by araPermanent g
p
griculture able land, grassland
2
covers 3economiof hectaleast 60%among Grazing North anSouthernproductiocommon Grazing Directivestrategy burning processefrom fosgrasslanpreciousquantity clear bencommunbenchmabe an improductiothere is need to
A key qube compevaluateare neceunderstamake thithe necegiven in Europe a
Some ofrelationsa numbeproductioalso demgrazed gin many
One of tand is aconcentrof markeneeds to
It must bparts of high cos
32% of the cs of grasslares of perma% of the UAmember stasystems are nd Centre ofn European on and hay
n practice in m
systems bee (1991), Wa
(2006), CAfossil fuel,
es. Emissionsssil fuel eneds have mu
s to use in eand quality
nchmarking nity to advanarking and u
mportant firston due to clivariation in be benchma
uestion arisespared and hoed, if there aessary to undanding why is comparisoessary termi
papers of Hand Cosentin
f the differenship betweener of countron is reduce
monstrates thgrass before EU member
the main reaa cost effectrate is for exet prices for o be docume
be emphasisEurope, the
st milk prod
UAA with imand use (Figuanent grassl
AA. But not oates and extypically we
f Europe (Thcountries (production
many other a
ecame moreater Framew
AP (2013-202converting fs of greenhorgy. Grass bltifunctions lecosystems. terms from of national gnce with knounderstandint step to quaimatic conditDM productrked and est
s if Europeanow can the pre no data aderstand thethey exist a
on, precise denologies desHelgadottir eno et al. (201
nces in membn the total cories (Dillon eed by 1 cent/hat a consida significantstates.
asons for stretive feed. Inxample 1:3:5
fertilizers anted for othe
sed, that duee paddock siduction syste
mportant diffure 1) (Huygand. In the nly the area press the ell developed
he Netherlan(Portugal, Sis more typareas where
e environmework Directiv20). Emissioforests and ouse gases (based livestoike carbon s Within Eur
different cougrass dry maowledge of g of nationaantify. Indeetions and othtion due to ctablished.
n grassland ipossibilities foand benchma overall diffe
and how to efinitions of wscribed by Peet al. (2014)14) for the M
ber state proosts of producet al., 2005)/litre for a 2
derable propot impact on c
essing the imn Ireland e.g. This relationd all other er EU membe
e to local conizes are too ems are bas
ferences betghe et al. 201UK, Ireland differs wide
ecological, stfor example
nds, DenmarkSpain, Italy, pical of centforage cons
entally sustave (2000), Kons of green
grasslands (GHG) are aock systems sequestrationrope there auntries and watter producthow to incre
al levels of ged some couher major vaclimate, soil
is not benchmor any increaarks for eacherences betwuse possibiliwhat grasslaeeters et al.) for the No
Mediterranean
oduction arection and the). The relatio2.5% increasortion of thecost of produ
mportance og. the ratio onships may
production er states.
nditions and small for ro
sed around
tween the m14). France, and Sloveni
ely, moreovetructural, hise in Ireland, Uk, SwitzerlanGreece).
tral Europe (servation is n
inable as nKyoto Protocnhouse gaseinto arable consequencare growing
n, maintenanare differencwithin countrtion within mease and imrass DM prountries may ariables (wate
types, types
marked. Howase of profitah grassland t
ween Europeaities to over
and has been. (2014). Grrth of Europn Region.
highlighted e proportion onship showe in grazed e dairy cowsuction is rea
f grazing is tof cost of gvary betweefacilities. Th
e.g. a differotational graindoor feed
member stateUK and Spaia permanentr the kind ofstorical and UK, France and and also Harvesting (Germany), eeded.
necessitated ol (1997) anes (GHG) arland, and s
ce of naturalg in overall nce of biodivces betweenries. As yet t
member statemprove grassoduction and not be able er access, ets of vegetati
w can Europeability of pertype in eachan grasslandrcome the pn addressed bassland overpe, Huyghe e
in Figure 1 wof grass in t
ws that the agrass in the diet (50% lised. This ca
that it is a hgrazed grassn all countriee exact com
entiated herzing systeming. From a
title dat
es and diffein have overt grassland f utilisation is
cultural difand some pain many pargrassland falthough it
by the EUnd the Soil re a conseqseveral othel biological pimportance,
versity etc. wn grass prodthere has nees. For the gs DM produc their differeto increase gtc.). The reasion and gras
ean grasslanrmanent grash region? Bends and to estproblems. In by the introdrviews of Euet al. (2014
which showsthe dairy cowaverage coscow’s diet. +) must coman be achiev
home grown s to grass sies and are d
mpetitiveness
ritage systems. In some
a green hou
te
rences in r 7 million covers at s variable fferences. rts of the rts of the for silage is also a
Nitrates Thematic uence of
er natural processes
because which are duction in ever been grassland ction, the ences will grass DM sons why ss quality
d regions ssland be nchmarks tablish an order to
duction of urope are ) for Mid
s a strong w’s diet in st of milk The data mprise of ved easily
resource ilage and epending
s of grass
m in some countries se gases
3
viewpoinemissionsystems grazed gand concused by that stabhigh yieemission
The objeestablishseason leof EU cotools wilknowled
Figure 1ranging fr
WhichproduThe quaareas wefficiencycolour corequired grasslansward tygrasslanthe follow
1
2
3
4
To
tal
cost
s o
f p
rod
uct
ion
(€
c/l)
nt this is not ns (O’Brien e
are very cograss, they recentrates. Ththe nations
ble feeding ielding cows ns compared
ective of thh the reasonength, ratio ountries can l work at farge.
1. Relationshiprom total conf
h benchuctivity?antification o
where efficieny. The key isoded area m for informedd productivit
ype, how it cd productivitwing parame
y =
0
10
20
30
40
0 10
US (Confin
favourable aet al., 2012ommon in D,equire a comhere are anifocusing on s most command mixed with cows fe
is work is tns for differeof grazing tobe develope
rm level, in w
p between totfinement (0%
marks a? of grass DM ncies can bessue for Euro
maps of cound decision mty regions toan be influenty, and in ordeters and reg
-0,0033x2 + 0,0415R² = 0,9074
0 20
ned) U
as recent pub; Soussana , NL, B, Lu,
mbination of mal geneticsgrass. Farm mon in someor concent
ed with grass
to benchmarences in grao cutting. Aed from this which farmer
al cost of prograss) to gras
are need
production e realized aope is that wntries is only
making. In Euo establishingnced, what isder to allow gional levels.
5x + 34,0344
30
Proportion
Denmar
US (GrazinGer
blications haet al., 2014Pl etc.. Higgrass, possi
s suitable to structure, la
e regions, fotrate based s only (Oene
rk grass DMass output, dA clear view o
work.regionrs can use w
oduction and pss based feed
ded to de
across regioand potentiawe are workiy an illustraturope we shog what levels the level ovarious com Terminology
40 50
n of grass in d
rk
ng)rmany
ve stated tha4; del Pradoh yielding cobly other gregrazing syst
and price andor instance infeed ration
ema, 2012).
M productiondifferences iof the level os. The secon
within their re
proportion of systems (90%
escribe g
onal farm syal exists to ing in the abtion and doeould be movil of productif grass utilisa
mparisons bety is based on
60
diet (%)
The Net
France
UK
at grazing syo et al., 201ows are not een forages tems and sud risk reductn D, NL, B, s have adv
of EU memn botanical of grazing annd objective egion to incr
grazed grass % grass) (Dillo
grasslan
ystems is esincrease sw
bsence of relees not establing on from on is been aation. Benchtween countn Allen et al.
70 8
herlands
Irelan
Aus
title dat
ystems have 14). Fulltimt fed adequalike e.g. sila
uch genetics tion strategieLu and Pl. M
vantages in
mber states composition
nd utilisationis to establi
rease their g
in the dairy con et al., 2005
nd
ssential to dward product
evant data, lish the propthe debate aachieved, whhmarks for dtries, should (2011).
80 90
d
stralia
New Zeala
te
low GHG me indoor ately with age maize are been
es explain Moreover, methane
and to , grazing intensity ish which grassland
cow’s diet, 5)
determine tivity and using old per detail about the hat is the describing consider
100
and
4
1. 1.1.1.
2. 2.2.
3. G3.
3.
4. G4.
4.2
5. (
6. G6.
6.
For all tlanguagemethodsmonitoriavailable
The quaexamplethe bettneeded. 10.000 dorganisaincluding
DM-Yield 1 On na2 On reg3 On farProportion o1 for m2 for mGrass feed u1 Grazin
propoperiod
3.1.1 3.1.2 3.1.3 3.1.4
t2 Cuttin
area) Grassland ty1 Perma
4.1.1 A4.1.2
4.1.244
4.1.24.1.3
2 Agroforestr
Botanical co(herbs, grassGrassland qu1 Seaso
fat) 2 Quality
these criteries. It is of s for data ng or repor
e which desc
ntifications oe milk and beter insight inFor example
dairy farmersations are allog density, als
ational level gional level urm and field f home-grow
milk productiomeat productutilisation ng (potentialrtion of graz
d caused by dRotational grSet stocking Mountain anStocking dentemporary gg (for fresh
ypes (definitioanent grasslaAgriculturallyNatural and 2.1 Past4.1.2.1.1 4.1.2.1.2 2.2 TradPermanent g
ry systems
omposition es-like plants,uality nal variation
y of conserv
ia a lot of interest thatsampling, drting systemribe the natio
of grass DM eef productionto grass ute the Annuals in the Nethowed to takeso the VEM, p
under regardlevel
wn feed and oon tion
l and intenszing days to drought or corazing (continuousd Mediterrannsity (LU/ha rassland; LUgrass, silage
ons see withands y improved gsemi-natural
tures, includiSole useCommon
ditional hay mgrasslands no
expressed as woody plan
n of grasslan
ed grass
data are at substantiaifferent quas for all datonal situation
production con of differetilization. A l Nutrient Cyherlands in 2e samples of protein, etc.
d of the differ
output from
sity expressethe total gr
old)
s grazing) nean grazingUAA; LU/ha
U/ha permanee or hay) (pro
in Peeters et
grasslands l grasslandsng rangeland
e n land meadows o longer used
s percentagnts, shrubs)
nd quality (d
lready availal comparisonality criteria ta. Even onn under com
can also be ment animal ty
limitation ofycle (ANCA) i2015. Input f
the grass silare estimate
rence betwee
grass-based
ed as numberowing perio
g of green for
ent grasslandoportion of p
t al. (2014))
ds, rough gra
d for product
ges of grass
digestibility, l
able in diffens are still n
and becaun national lemparable situa
measured indypes or woolf this methois using this for the ANCAlage. Next toed.
en growth cl
diets
er of LU graod in the yea
rage area; LUd) permanent +
azing, forest
tion
ses, legumes
ignin, fibre,
erent countrnot possible se many co
evel there arations.
directly by ou. An advantaod is that mmethod. The
A is among oo the amount
title dat
limate zones
azing days par; length of
U/ha of perm
+ temporary g
t pastures, et
s and other
crude prote
ries and in e caused by ountries donre not many
utput paramage of the mmore paramee tool will be
others that spt of grass sila
te
per year; f housing
manent +
grassland
tc.
r species
ein, WSC,
different different
n´t have y reports
eters, for method is eters are e used by pecialized age in m3
5
Researc
We are productio
Current seasonalFigure 2give a fisome coIreland.
Figure 2measured
In some(Griffith understa
New meSchaumbproductiv
A coordinetwork protocol productiomost Euthe dataup a maand Kopproductiofor ryegPortugalnorth-weDenmark
ch level
proposing ton needs to
methodologlity and tota) has been erst estimate
ountries may
2. Grass growtd with the met
e research cet al, 2014)
anding of the
thods for meberger, 2005vity in whole
nated experimeasured tat 32 Europ
on of grasslropean coun
a of a meteop of annual rec, 1996). Tons of mownrass reaches. The most pestern Francek, Ireland an
to quantify be quantified
gies used aal DM produestablished t, under a co
y have alread
th (kg ha-1 d-
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centers is th) or Agrichece level and va
easuring gra5). These me regions.
iment organihe productiopean sites (Cands all oventries. Humeorological netrain fed herb
The results arn and heavils almost 20 productive sie, Belgium, t
nd the United
grass DM od at research
are cutting ction of a ro quantify gommon methdy dataset b
-1) during growl and Fenlon (
he grasslandck in Northeariation of D
assland produethods shou
sed by Corraon and produCorrall and er Europe. Le and Corralltwork and a bage yields. Are presentedly fertilised gt DM/ha in tes (i.e., thothe Netherlad Kingdom. T
output at a h level.
grass with region. The rass DM prohodology of built upon th
wing season (1978) (Thom
d DM outpurn Ireland. M output in t
uction are avld give a bet
all under theuctivity of cuFenlon, 197
Lee (1983) gl (1986) attegrass growt
A synthesis o in Figure 3.grasslands aGermany (K
ose where prands, NortherThe most of t
number of
a standardmethod of C
oduction, thiswhats been
his harvesting
at different siet et al., 2011
t measured These systethose countr
vailable withtter overview
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title dat
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s from at leas
e.Pasturebaseomatically gi
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models for e herbage
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8
the ‘SustFarm Ac(2008) sfarmers,subsidieslocated iin internRICA netless gree(266 500104 840rather hito the pueconomisystem, 2012). In the stinput codegree oeconomibased sycost of mvs 0.16 marketinmore seEconomiproductsto benef This neeinitiativeexaminegrazing mare not gacross mWestern of Austriintermedetc.). Even in establish“grazing of actual
1 ResilieeconomiResiliencperformagood res
tainable Agriccountancy Dshowed that because of s. The continin Brittany, aational comptwork (56 vsen maize sila0 vs 349 900 €/AWU), thigher (21 90urchases of cc result befois even muc
tudy of Samosts per ha aof intensificatc performanystems, appemilk producti€/l respectiv
ng price of melf-sufficient ic performans and cerealsfit from mark
eds to be ees has been e the level omay be mucgenerally avamember stat France, partia and Switzdiate (Hollan
more mounth how grazin
days” and itl grass utilisa
nce refers heic performance characterance after a silience for th
iculture NetwData Networt grassland-bthe savings
nuous followand of farmsparisons. The
vs 78 ha), useage (11 vs 30 litres) and ahe farms of t7 vs 17 261 concentratedore tax and wh higher in t
son et al. (2are closely ation does no
nces. In this ear to be moion is alwaysvely for the milk practicaand grassla
nces of grasss. If grasslanket improvem
established fto highlight
of grazing tah lower thanailable. A ketes, some mt of Belgium,zerland or Sond, parts of
tainous regiong intensity ts necessaryation across c
ere to the ap
nce) relativelyrizes the capdisturbance.he economic
works (SAN)’ rk (RICA)’ inbased system
on producti-up between
s of the RICAe farms of the more grass2%) and proa smaller totthe SAN net€/AWU) tha
d feed (154 vwithout subshe farms of t
2012) the thrassociated to
ot seem to bestudy, the
ore resilient1
s significantlyextensive,
lly does not nd-based sy
sland-based nd-based sysments (Peeter
for other mthe areas o
aking place in the level of ey question member stat, Northern Gouth-Tyrol. OBelgium), w
ons it would is different
y definition recountries.
ptitude of a (ey stable vis-aacity of a (ec The systemperformance
’ and from con the same rms in the loion costs desn 2008 and 2A (see Peyrauhe SAN netws (87 vs 67%oduce less cetal product ptwork producn average favs 320 €/ha)sidies, which the SAN netw
ree classes oto a reductioe a key explamost self-su to price crisy lower thanintermediatevary from o
ystems is wesystems stro
stems appears, 2014).
member stateof grassland n these me
f harvesting/remains in Etes have int
Germany or thOther countr
while more a
be importanacross the
egarding tim
eco-)systema-vis a risk (hco-)system to
ms representee.
onventional fregions of F
owland are aspite the fac2012, of aboud et al., 20
work are sma% of their Mereals (8 vser agriculturce an addedarms of the R and inorganreveals the work (7 180
of intensificaon of grasslaanatory factoufficient, whisis because tn in the moree and more one system tell shown inongly dependr to be more
es. While thin Europe.
mber statesensilaging o
Europe, whattensive grashe alpine beries or differre with low
nt to classifyregions and e and intens
to maintain ihere a risk ofo recover a ned in the SAN
farms sampleFrance, Le Rable to provict that these ut forty farm14) confirmsller on averaain Forage A20 ha). In sal working u-value and aRICA. These nic fertilizers real technicavs 1 490 €/A
tion/self-suffand in the for of the diffech are also the share of e intensive syintensive sy
to another. Tn the data od on the relae resilient, th
he focus preWe must no. In many c
or hay makingt is the intensland use slt of Southerent regions intensity (It
y the exact ucountries. T
sity is useful
ts performanf price on thenormal functiN sample ap
title dat
ed in the ‘AgRohéllec and vide good inc
systems recms of the SANs the results age than thoArea (MFA)) spite of a lowunit (AWU) (8an income bsavings rela(21 vs 92 €/
al performanAWU) (Peyra
ficiency basefodder area erences in tethe more g
f variable cossystems (0.10ystems) wheThis resiliencof the SAN ative prices ohey are also
eviously in Eow step forwcountries theg, however snsity of grasssuch as Irelrn Germany ain that coun
taly, Spain,
usage of graThe use of to establish
nces (here the products). ioning and
ppear thus ha
te
gricultural Mouchet
comes to ceive less N, mainly obtained
ose of the and thus
wer quota 88 454 vs efore tax te mainly /ha). The
nce of the aud et al.,
ed on the (1). The
echnique-grassland-sts in the 0 vs 0.13 ereas the ce of the network. of animal less able
European ward and e level of such data sland use and, UK, and parts ntries are Romania,
ssland to the term the level
he
aving a
9
Table 1.different c
CountryGermanIrelandAustria,France regionsPoland Swedenstates Netherl
Portugasheep a
ScientificPontes egrasslanpresent practices
In the NGrazing level.
The roGrasslanThere isrequiremof nationexposed combinaundocum
There ar
1. Wha
. Indoor feedcountries of E
y ny , UK , Slovenia
– mouns
n, Finland,
lands
al (beef and goats)
c advances met al., 2007) ds diagnosison farming
s. This appro
Netherlands are especial
ole of mnd species ans a large effment for the ns (Table 2)
to mid sumtions are m
mented when
re questions
at species are
ding days (caEurope. Source
Wi181012
tainous
Baltic
cattle,
0-9
made possiballow to pro agronomic tsystems and
oach aims to
projects likely used to to
multispecnd varieties afect of specsame pastur), the same mmer droug
more resiliencn establishing
to pose on t
e present in g
aused by wines:
nter days ind0 (north) – 20 -160 days0
90
ble by the fuopose the typtools. The md assess howimprove the
e Amazing Go improve th
cies grasand traits varies type on re species as
approach sghts and colce to monocg the DM pro
his topic
grassland reg
ter cold or s
doors 220 (south)
unctional apppes of grassl
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e quality of th
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ssland ry within couDM produc
s others. In should be unld winters, sculture type oduction vari
gions?
ummer droug
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80% faday & n
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proach of velands (Cruz eaims to charuse the grashe grass at th
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ndertaken fospecies rich swards, yet
ation across
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armers graznight
etween 6 – 20 days
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airy cows aperiod
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ss growth pohe moment o
azinggrazing.d to show th
vary widely dome countrieof benchmar
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t much of tcountries.
title dat
mber of grazin
ass
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of the areas, during all
are kept indods, somcularly in sm
Cruz et al., 2 that are thediversity of g
otential throof its use.
.eu/en) and hese benefit
depending ones will not rking DM propecies. In
with differentthese aspect
te
ng days in
ch 25%
r day at
grazing year,
oors for metimes mall size
2002 and e basis of grassland ugh their
Dynamic s at farm
n climate. have the oductivity countries t pasture ts remain
10
Table 2:
Grasslandtype
Permanegrassland
Permanetemporargrassland
Semi natural grassland
Permanenatural grassland
Sown rainfed biodiverslegume rpermanegrassland
Irrigated biod,permgrassland
Table 3 practices
2. Can
The avagrowth meteoronational particula
Summary of s
d Country
nt d
D
D
Ir
nt/ ry d
NL
d
nt
d
se rich nt ds
m. d
D
PT, E
PT, E
PT, E
allows to clas taking into
we predict t
ilability of a prediction wlogical modedatabase w
arly if linked t
some grasslan
Area/ region
North Germany
South Germany
All
Hilly and mountainous
areas
All
All
Center and South
Irrigated schemes
assify grasslaaccount the
the grass gro
national grawithin countreling based owill allow ato regional m
nd types and a
Utilisation
silage
silage
pasture
Silage / pasture
Meadow
Grazing
Grazing
Grazing + 1 cut for haylage
ands into 3 plant divers
owth?
ass growth dries. Most pron soil and actual data
meteorologica
attributes in E
Intensity (cuts per
a)
N
5
5 (6)
6 (7)
2
0
0
1 cut
functional tysity.
database wouredictions ofair temperatto be usedal data.
urope.
Number of
species
Yieldt
DM/
5-10 8-12
7- 5 8-12
5 9-16
25-65
10-50
6-20 spp/cvs
6-9 spp/cvs
4-7
1-3
3-6
12-2
ypes (AB, b
uld greatly af grass growture (Breretod to genera
d
/a
Protein content
%
2 18
2 18
6 18
7
3
6
20
12-14
6-16
8- 22
12-22
and C) and
assist the devwth capacity on, 1985). Tte regional
title dat
Energy value co
s
Lpe
Ta
AloprL
peDa
1.0UFL LoPoPoF
L
<0,7UFL
0.7-1.0
0,8-1.1
VB
HoAL
TrOrn
T.micTresOrnBiM
spp
Dac
T. rf
Lotarun
peDact
to diagnose
velopment oare genera
The developmgrass-grow
te
Most ommon species
Lolium perenne, araxacum
off.
opecurus ratense, Lolium
perenne, act. glom.
ol. per. ; oa prat.,
Poa triv., Fest. ar.
Lol. per.
Vulpia, Bromus,
Hordeum, Agrostis, Lolium,
Trifolium, rnithopus,
T.subt.,T. chelianum, supinatumrnithopus, iserrulla,
Medicago p., Lolium mult,
ctylis, etc.
repens, T. fragif.,, tus, Fest, nd, Lolium
perenne, ctylis glom.
foraging
of a grass ated from ment of a th rates,
11
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13
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