growth, yield and photosynthetic responses to elevated co2
TRANSCRIPT
Growth, yield and photosynthetic
responses to elevated CO2 in
wheat
Robert M Norton
Regional Director IPNI, ANZ
Saman Seneweera,
Sabine Posch,
Greg Rebetzke,
Glenn Fitzgerald
Australian Wheat Production
Spring Wheats – sow May, harvest December
by 2050
1-2oC warmer
50-100 mm drier
Projected climate – 2050 - A1B
Future is unclear for Australian
wheat production?
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Yield Now - measured
Yie
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Yield eCO2 measured
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% R
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Gra
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ield
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/ha)
Modeled impact of climate change on
wheat yields in the Victorian Mallee
(Grace, 2006)
CO2 * Temperature * Water
Crop growth, yield and quality are affected by all these factors
• To assess the impact of climate change on the wheat industry, need to assess the interaction of these three factors.
• Ecosystem and biotic impacts on production systems.
Adaptation strategies in response to changing climate
Effects of elevated CO2
• In C3 plants – CO2 & O2 compete for active sites on „RuBisCO‟ shift to increase gross photosynthetic C fix and reduce C loss in photorespiration.
• In both C3 and C4 plants, stomatalaperture narrows reducing water use.
• Therefore C increases & Wdecreases so TE increases.
• Increase in CO2 from 350 ppm to 550 ppm increases TE by 50%.
• This all seems simple and positive
Ainsworth & Long 2005 New Phytologist
Photosynthetic rates increased in
response to short term CO2
enrichment.
BUT when exposed to eCO2 for
extended periods, photosynthetic rates
decline. This process is known as
“acclimation”.
Various morphological, biochemical
and molecular adjustments.
Decline in plant N
RuBisCO content lower
RuBisCO activation higher
Increased Tillering
Ecosystem responses eg PNL,
pathogens)
Photosynthetic acclimation to eCO2
Seneweera et al 2005 Journal of Crop Improvement 13-31-52
2010
2100
aCO2
eCO2
Australian Grains Free Air Carbon Dioxide
Enrichment Facility (FACE)
• Located at Horsham in Western Victoria – 36oS.
• aim to answer the fundamental question of how the supply of N and
water interact with higher temperatures under elevated CO2 in
relatively low yield potential situations ie 1 to 4 t/ha
• Experimental treatments– FACE CO2 – ambient (~380 ppm) &
550 ppm
– Water – rainfed & irrigated (+50 mm)
– Sowing time – early sown (June 18) & late sown (August 22) – generates +5oC during flowering
– Nitrogen – low and supplemented –managed in response to water supply (Yitpi only)
– Cultivar - Yitpi and Janz
4 replicates
Each ring 12 m
16 m in 2009 et seq.
Spread over 5 ha site
Central CO2 Sensor,
Wind Speed &
Direction
CO2 Controller Fumigation tubes
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Me
an T
em
pe
ratu
re fo
r th
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15
day
s af
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anth
esi
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Seasonal Water Supply (Rain + Supplements)
Experimental Treatments – 2007, 2008, 2009
Above Ground Biomass (g/m2)
• Very few interactions among
the main treatments
– ie CO2*TOS*Water*Cultivar
• TOS and water responses
followed what would be
expected.
• CO2 increased growth at all
stages by 25-30%.
• CO2 produced more shoots per
plant.
Year Stage aCO2 eCO2
2007 Tillering 73 84
Anthesis 490 612
Maturity 656 802
2008 Tillering 167 205
Anthesis 706 917
Maturity 760 992
2009 Tillering 80 99
Anthesis 550 654
Maturity 551 730
2009 heat wave *+35oC for 2
weeks in November
Grain Yield and Yield Components
• Again,very few interactions
among the main treatments
– no CO2 response in TOS2
2008
• TOS and water responses
followed what would be
expected.
• CO2 increased yield from 2.52
t/ha to 3.22 t/ha (27%)
• In 2008, HI declined under
eCO2 with TOS2 but not in
TOS1
• CO2 increased kernel weight in
2 of 3 years but not kernel
number.
Year aCO2 eCO2
2007 Yield 258 323
SkNO 4.0 4.6
KNO 25.3 27.3
KWt(mg) 31.3 32.9
2008 Yield 247 310
SkNO 2.5 2.6
KNO 17.9 18.3
KWt(mg) 31.1 32.4
2009 Yield 252 332
SkNO 3.7 4.0
KNO 31.4 33.1
KWt(mg) 22.9 24.3
Root growth @ Anthesis(mean of both sowing times and water treatments)
Root Dry Weights to 100 cm
aCO2 = 587 ± 52 g/m2 - 12% of tops
eCO2 = 860 ± 52 g/m2 - 14% of tops
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0 50 100 150 200 250 300 350 400Root Dry Weight (g/m
2)
Dep
th (
cm
)
eCO2
aCO2
Effects of eCO2 on growth & N demand
(2008 data)
Factor
[CO2]
(mol/
mol) GS30 GS65 GS90
Plant N (%) 550 3.69 1.90 1.56
-5% 380 3.77 2.05 1.63
N Uptake (g/m2) 550 7.47 17.24 15.73
+23% 380 6.11 14.28 12.73
Kernel N% 550 3.04
-3% 380 3.15
Similar response in all 3
years
Evidence of acclimation
Decline in grain protein
content of ~1% in each
experiment
Changes in quality and
mineral content (on-going
study).
Yitpi & Janz did not show
significantly different
responses to eCO2
Modeling of Impacts - Upscaling
No Adaptation
Adaptation - Cultivar Differences
• Literature
– Indeterminate types more
responsive (soy, wheat)
– N fixing more responsive
– Vigerous more responsive
– NR‟ase implicated in acclimation
• Ziska compared an “old” &
“new” culitvar in OTC‟s
• Concluded that
responsiveness to eCO2 is
related to “indeterminacy” ie
the ability to set added
heads/seed sites.Marquis – released 1908 (clear bars)
Oxen – released 1996 (gray bars)
At two plant densities (low/high),
Cultivar Effects
• Yitpi v Janz
– Very little difference in response to eCO2
– Some canopy differences early, but otherwise nothing
• 2008/2009
– Glasshouse reponses of a range of cultivars –Tillering & Photosynthetic responses
• 2009 - look at a wider set of cultivars – traits
– Widely Adapted (Kauz Dwarf = Zebu); TE differences (Hartog, Drysdale) High grain number (Silverstar); Low Tillering (H45); Current best adapted (AGT Gladius)
Shoot Numbers under eCO2
No significant interaction between shoot number and eCO2
But – the change in shoot number was most for mid-tillering
types.
Growth response of 8 cultivars to eCO2
• In the FACE experiment – biomass at maturity
• Significant interaction between CO2 and cultivar
• Zebu was most responsive to eCO2 +59%. Hartog least
responsive +11%
Bio
mass M
atu
rity
g/m
2
0100200300400500600700800900
1000
aCO2
eCO2
SE = 59
Yield response of 8 cultivars to eCO2
• In the FACE experiment – compromised by heat wave
during grain filling.
• No interaction between cultivar and CO2
• BUT – some cultivars (eg Gladius, Zebu) appeared to
have a larger response than others (eg Hartog, H45,
Silverstar)
300
350
400
450
500
550
600
650
700aCO2
eCO2
Gra
in y
ield
g/m
2
Kernel weight
• Significant interaction among the cultivars for kernel weights –
interaction was for CO2*Irr*Cultivar
• Silverstar (high “sink”) did increase kernel weight with eCO2
under rainfed, but not under irrigation. H45 (low “sink”) did not.
• Reflect a variation in the degree of sink limitation?
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Pe
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O2
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aC
O2 R/Fed
Irr
Summary• Increase in biomass and grain yield ~ 25% with CO2 @
550 ppm.
• Less response with hotter conditions (later sowing).
• No particular yield component stands out – they are
indicators of the path not the destination.
• Grain protein contents were lower under eCO2.
• Little evidence of differences between Janz and Yitpi –
these types are still sink – not source – limited.
• Some evidence of differential response among cultivars
– maybe high growth rates, low determinacy, (high
NUE?).
• Seek future types that are less sink limited and with
lower acclimation response.
FACE LinkagesCore Agronomy
(wheat/pulse):
CO2*Water*Temp
(Norton & Fitzgerald)
Pathology(Luck)
Physiology(Seneweera)
Belowground
(Soil Types)(Armstrong)
Modelling(O’Leary)
Morphology
(Rebetzke)Photosynthetic Effects
(Leaky/Ainsworth)
(Makino) (CAAS Han)
N Dynamics
(Cammarano/
Fitzgerald)
Insect
populations
(Yen)
BYDV, Crown Rot, Net Blotch
(Trebicki/Freeman/Powell)
Short term C/N
dynamics (Lam)
Stripe Rust
(Hollaway/Chakraborty)
Validation/Prediction
(O’Leary, APSRU,
CSIRO)
Modelling
(Griffiths)
CAAS Changping
CAS Wuxi
BNL
NZ Pasture FACE
SoyFACE (Illinois)
RiceFACE (Japan)
Data Sharing & Access
(O’Leary, Fitzgerald)
Soil Processes incl.
GHG (Chen/Li)
Grain Quality
(Panozzo)
Brassica(Tomkins)
Informatics, Biometrics
(Partington)
System performance
Design specifications
(Mollah)
Remote Sensing,
Database
(Fitzgerald)
Agronomy
(Norton)
Horsham & Walpeup Yield, Agronomy -
wheat (Norton)
Microbial
functions
(Mele)
Pests & Diseases
(Jo Luck)
Crown Rot
(Trebicki)
N/C
dynamics
(Arndt)
C dynamics/
sequest.
(Mathers/
Robertson)
New var. & pulses
(Norton, Brand)
Acknowledgements
Grains Research & Development Corp.
Department of Agriculture, Fisheries and Forestry
Victorian Dept. Primary Industries
Australian Dept. Ag, Fisheries & Forestry
Australian Dept. Climate Change
The University of Melbourne
IPNI and the IPNI Global Wheat Group for
support to attend this conference.
http://www.ipni.net