methane in sheep
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Impact of genetic selection for f thperformance on methane
emissions from Merinosemissions from Merinos
David Cottle
March 2009Wellington NZWellington, NZ
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Background
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Background
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Background
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Background
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Background
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Background
Feed intake-methane
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Background
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BackgroundTotal gross turnover category(Total cash receipts + buildup in trading stocks)
< $100,000 $100,000-$200,000
$200,000-$400,000
$400,000 +
Sheep numbers at June 30th
Maiden ewesBreeding ewes
1,305139
2,776271
4,714507
2,027
8,764952
3,809Breeding ewesWethersLambsRams
Total DSE’s
55833625715
1,340
1,08671167434
2,850
2,0271,0161,094
704,839
3,8091,9512,120
1018,996
Total wool production (Kg greasy) 5,605 11,786 23,410 42,017Farm land area (Ha) 1,989 3,000 9,445 16,700Cropping area (Ha) 21 52 93 425Nitrogen fertiliser (Kg N) 966 2,392 4,278 19,550Greenhouse emissions (TCO2-e)
CH4 – entericN2O - N FertiliserN2O – indirectN2O - dung, urine
1781
1519
3713
3140
6356
5469
1,19829
111131Total farm emissions 19
21440
44669
764131
1,469
Models of 4 average sheep specialist farms using the Uni. Melbourne emission calculators, considering only direct emissions liable under Australian calculation methodologies
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g y g( www.climatechange.gov.au/inventory/methodology/index.html).
Emissions that farms would be liable for if they become CPRS-covered, or are allocated a tax/fee that is equivalent to the cost of buying emission permits (likely) (Keogh and Cottle, in press)
Methods• The 10 trait selection index (desired gains) program
MTIndex was used to construct an index based on SGA Merino 14%MP without yFDCV and SS butSGA Merino 14%MP, without yFDCV and SS, but with methane (kg/year.ewe) and feed intake (kgDM/year.ewe) in the breeding objective
• Methane was given an EV based on Kg Methane X 21 /1000 X (permit price ($/CO2-e)).– The UNFCCC attributes Methane a 100 year GWP of 21– The UNFCCC attributes Methane a 100 year GWP of 21– Permit price was varied from zero to $500/tCO2-e
• Feed intake was given an EV of zero,-$0.02 or -$0.10/kg (Ponzoni 1988)
• These two traits were either used as selection criterion (i e assumed measurement possible) or not
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criterion (i.e. assumed measurement possible) or not
Methods
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Methods14% MP Index
-ve
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Methods2.05 => SD index 10
NLW EV – lamb’s CH4 lamb’s CH4 = 0.6 * 7.3kg * Methane REV
-0.16 kg/ewe CH4/gen/i = 10% reduction in 10 years
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Methods
$20-$70/tonne
Australian Treasury economic modelling:
CPRS-5 (a 5% emission reduction by 2020) CPRS-15 (a 15% reduction by 2020)CPRS 15 (a 15% reduction by 2020).
Price $/tCO2-e is somewhat misleadingly called the carbon price
EV kg methane = $/tCO2-e * 21 (GWP) /1000
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Methods
20.5 µm flock
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ResultsPositive methane – production correlationsPositive methane production correlations
Implicit price to achieve d i d idesired gain
Zero $/tCO2‐e is current situationCH would increase with 14% MP ifCH4 would increase with 14% MP if <$180/tCO2‐e
Wool ~ $36/ewe/yearWool $36/ewe/yearMethane ~ -$4/ewe/year
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ResultsPositive rPositive r
Implicit price to achieve d i d idesired gain
Not worth selecting forNot worth selecting for methane
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ResultsPositive rPositive r
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Feed EV increased – similar resultsBoth (sire) – sire, half sib records available (stud)
ResultsNegative correlationsNegative correlations
Implicit price to achieve desired gaindesired gain
Zero $/tCO2‐e is current situationCH would decrease with 14% MPCH4 would decrease with 14% MP
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ResultsNegative rNegative r
Implicit price to achieve desired gaindesired gain
Zero $/tCO2‐e is current situationCH would decrease with 14% MPCH4 would decrease with 14% MP
If correlations negativeIf correlations negative than it could be worth selecting for methane
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ResultsNegative rNegative r
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Sensitivity analyses (EV, rp, rg se’s)
Positive r
Negative r
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Sensitivity
354045
Methane+ve
101520253035
Frequency
05
10
0.08 0.16 0.24 0.31 0.39 0.47 0.55 More
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Methane response (per 10 years)
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10
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Frequency
-ve
230
5
-1.05 -0.84 -0.62 -0.40 -0.18 0.04 0.26 More
Conclusion
Can only assess whether it is worth measuring feed intake or methane to greduce methane when methane –production correlations are knownp– Positive r: very unlikely to be economic– Negative r: maybeNegative r: maybe
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Acknowledgements
Rob BanksKevin AtkinsKevin Atkins
Julius van der WerfG LGreg Lee
Mick KeoghRi h E k dRich Eckard
Roger HegartyPeter Amer
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