EverCrop - Charles Sturt University•Lucerne plus sub clover in any combination produced more fixed...
Transcript of EverCrop - Charles Sturt University•Lucerne plus sub clover in any combination produced more fixed...
EverCrop Examining the impact of perennial pastures on
profitability
Graeme Sandral, Richard Hayes, Guangdi Li NSW Department of Primary Industries and E H Graham Centre
Tony Swan and Mark Peoples CSIRO
Shawn McGrath Fred Morley Unit and E H Graham Centre
Jim Virgona
Graminus Consulting
Aims
• Grow more pasture
• Fix more Nitrogen
Sites
Sites Average Rainfall (mm)
April to Oct Rainfall (mm)
% April to October (mm)
Mirrool 471 288 61
Burrumbuttock 580 384 66
Eurongilly 535 329 62
Wagga Wagga 530 331 63
Lockhart 484 308 64
Treatments
Species and species
combination
Pasture description and sowing rate (kg/ha)
Sub clover Monoculture Sub clover only (4 kg/ha)
Lucerne Monoculture Lucerne only (3 kg/ha)
Lucerne Sub clover Mix Lucerne (3 kg/ha) and Sub clover (4 kg/ha) in the same row
Lucerne Sub clover 1:1 Lucerne (3 kg/ha) and Sub clover (4 kg/ha) in alternate rows
Lucerne Biserrula 1:1 Lucerne (3 kg/ha) and Biserrula (1kg/ha) in alternate rows
Lucerne annual Medic 1:1 Lucerne (3 kg/ha) and annual Medic (3 kg/ha) in alternate rows
Lucerne Sub clover 1:2 Lucerne (3 kg/ha) sown in one row and Sub clover (4 kg/ha) sown in two rows
Phalaris Lucerne Sub clover
Mix
Phalaris (1.5 kg/ha), Lucerne (1.5 kg/ha) and Sub clover (4 kg/ha) sown in every row
Phalaris Lucerne 1:1 Sub
clover
Phalaris (1.5 kg/ha) sown in one row, Lucerne (1.5 kg/ha) sown in the other row with
Sub clover (4 kg/ha) sown in all rows.
Phalaris Lucerne 1:2 Sub
clover
Phalaris (1.5 kg/ha) sown in one row, Lucerne (1.5 kg/ha) sown in the next two rows
with Sub clover (4 kg/ha) sown in all rows.
Phalaris Sub clover 1:1 Phalaris (3 kg/ha) and Sub clover (4 kg/ha) in alternate rows
Phalaris Sub clover Mix Phalaris (3 kg/ha) and Sub clover (4 kg/ha) in the same row
1 Lucerne : 2 sub clover
Sub clover only
1 Phalaris : 1 sub clover
Phalaris & sub clover mix
Wagga Wagga 4th Sept 2013
Mirrool 14th Nov 2013
Lockhart 11th March 2014
Burrumbuttock 10th Dec 2013
Details
• Sown: Autumn 2012 – Measurements
• Seedling counts (annuals + perennials year 1)
• Basal frequency (perennials)
• Dry matter and botanical composition (4 times a year)
• Seed bank of annual legume (summer)
• N-fix and OMD (potentially 4 times a year)
• Soil nitrogen (pre-cropping)
• Estimated N-fix
• Estimated livestock performance
The Nitrogen Story
Relationship between sub clover dry matter and
amount of atmospheric nitrogen fixed
For every 1000 kg/ha of
legume shoot dry matter
you gain approximately
20 kg/ha of fixed N.
(Unkovich et al 2010)
2 4 6 8 10 12 14
50
100
150
200
250
300
350
400
Legume dry matter accumulated over 3 years (kg/ha)
Min
era
l N
in M
ay p
rior
to c
roppin
g
to 1
m (
kg/h
a)
N = 130 + 0.0148 x legume DM
R2 = 0.66
Relationship between legume dry matter and
amount of nitrogen available prior to cropping
For every 1000 kg/ha of
legume shoot dry matter
you gain approximately
15 kg/ha of mineral N.
N-fix estimation & valuation
• To estimate the value of the N contribution by the pastures (in N fixed kg/ha) we have assumed 15 kg N /ha for every 1000 kg/ha of legume.
• The estimated dollar value of the N was provided by assuming Urea cost was $550/t with an N concentration of 46%.
• The estimated value to crops assumes 15% of the N fixed by the pasture is utilised by the following crop.
Scenario 1 Cumulative Cumulative % Cumulative Estimated Value to
DM Legume DM Legume N-fix Value of N crop Ranking
Species & species combination (kg/ha) (kg/ha) (kg N/ha) $/ha $/ha
Sub clover mono 28595 26034 91.0 391 988 148 3
Lucerne mono 22839 18268 80.0 274 693 104 8
Lucerne + Sub clover mix 27993 26951 96.3 404 1,023 153 2
Lucerne + Sub clover 1:1 27109 25480 94.0 382 967 145 4
Lucerne + Biserrula 1:1 17376 15264 87.8 229 579 87 9
Lucerne + Medic 1:1 16314 13807 84.6 207 524 79 11
Lucerne + Sub clover 1:2 28762 27614 96.0 414 1,048 157 1
Phalaris + Lucerne + Sub 38611 18390 47.6 276 698 105 7
Phalaris + Lucerne 1:1 + Sub 35472 19061 53.7 286 723 109 5
Phalaris + Lucerne 1:2 + Sub 32736 18836 57.5 283 715 107 6
Phalaris + Sub clover 1:1 35385 14339 40.5 215 544 82 10
Phalaris + Sub clover mix 38045 8727 22.9 131 331 50 12
LSD 5792 4142
N-fix estimations Wagga Wagga assuming 15 N kg per
1000 kg/ha of legume
Scenario 2 Cumulative Cumulative % Cumulative Estimated Value to
DM (kg/ha) Legume DM Legume N-fix Value of N crop Ranking
Species & species combination (kg/ha) (kg N/ha) $/ha $/ha
Sub clover mono 28595 26034 91.0 781 1,976 296 1
Lucerne mono 22839 18268 80.0 373 944 142 10
Lucerne + Sub clover mix 27993 26951 96.3 689 1,743 261 3
Lucerne + Sub clover 1:1 27109 25480 94.0 639 1,617 243 4
Lucerne + Biserrula 1:1 17376 15264 87.8 374 946 142 9
Lucerne + Medic 1:1 16314 13807 84.6 332 840 126 11
Lucerne + Sub clover 1:2 28762 27614 96.0 719 1,819 273 2
Phalaris + Lucerne + Sub 38611 18390 47.6 475 1,202 180 7
Phalaris + Lucerne 1:1 + Sub 35472 19061 53.7 477 1,207 181 6
Phalaris + Lucerne 1:2 + Sub 32736 18836 57.5 489 1,237 186 5
Phalaris + Sub clover 1:1 35385 14339 40.5 421 1,065 160 8
Phalaris + Sub clover mix 38045 8727 22.9 261 660 99 12
LSD 5792 4142
N-fix estimations Wagga Wagga measured
30 N kg per 1000 kg/ha of sub clover and
20.4 N kg per 1000 kg/ha of Lucerne
Scenario 1 Scenario 2
Estimated Value to Estimated
Value of N crop Ranking Value of N crop Ranking
Species & species combination $/ha $/ha $/ha $/ha
Sub clover mono 988 148 3 1,976 296 1
Lucerne mono 693 104 8 944 142 10
Lucerne + Sub clover mix 1023 153 2 1,743 261 3
Lucerne + Sub clover 1:1 967 145 4 1,617 243 4
Lucerne + Biserrula 1:1 579 87 9 946 142 9
Lucerne + Medic 1:1 524 79 11 840 126 11
Lucerne + Sub clover 1:2 1048 157 1 1,819 273 2
Phalaris + Lucerne + Sub 698 105 7 1,202 180 7
Phalaris + Lucerne 1:1 + Sub 723 109 5 1,207 181 6
Phalaris + Lucerne 1:2 + Sub 715 107 6 1,237 186 5
Phalaris + Sub clover 1:1 544 82 10 1,065 160 8
Phalaris + Sub clover mix 331 50 12 660 99 12
N-fix estimations Wagga Wagga methods compared
Nitrogen fixation (N-fix)
Wagga Wagga results • Adding phalaris to the mix increased dry matter yield but
decreased N-fixation.
• Lucerne plus sub clover in any combination produced more fixed N than lucerne plus medic or lucerne plus biserrula.
• The sub clover monoculture performed as well as sub clover plus lucerne combinations as determined by N-fix
The Livestock Story
Livestock modelling details
• An estimate of the value/ranking of each of the treatments on livestock production was calculated using GrazFeed®. Dry matter available for grazing was calculated by assuming an efficiency of utilisation of 40% above a minimum amount of 1800 kg/ha of available pasture.
• The daily intake rate and growth rates of 30 kg merino wether lambs, were calculated for each of the treatments based on the legume composition achieved and assuming digestibility of 80 % and 45% for green and dead pasture respectively. Total weight gain was then calculated based on the dry matter available for grazing, the daily intake rates and the daily growth rates predicted. Each of the treatments was then ranked according to estimated weight gain (per ha).
Livestock estimations Model 1
Model 1 Cumulative % DM grazed Est intake Est live
DM Legume kg/ha g/hd/day wt gain Ranking
Species & species combination (kg/ha) 1800 Kg/ha
Sub clover mono 7149 91.0 2140 1.64 405 7
Lucerne mono 5710 80.0 1564 1.61 285 10
Lucerne + Sub clover mix 6998 96.3 2079 1.65 401 8
Lucerne + Sub clover 1:1 6777 94.0 1991 1.64 381 9
Lucerne + Biserrula 1:1 4344 87.8 1018 1.63 191 11
Lucerne + Medic 1:1 4079 84.6 911 1.62 169 12
Lucerne + Sub clover 1:2 7191 96.0 2156 1.65 415 6
Phalaris + Lucerne + Sub 9653 47.6 3141 1.54 509 1
Phalaris + Lucerne 1:1 + Sub 8868 53.7 2827 1.55 469 2
Phalaris + Lucerne 1:2 + Sub 8184 57.5 2554 1.56 429 5
Phalaris + Sub clover 1:1 8846 40.5 2819 1.52 445 4
Phalaris + Sub clover mix 9511 22.9 3085 1.48 455 3
LSD 1448
Livestock modelling details
• An estimate of the value/ranking of each of the treatments on livestock production was calculated using GrazFeed®. Dry matter available for grazing was calculated by assuming an efficiency of utilisation of 40% above a minimum amount of 1800 kg/ha of available pasture.
• Model run using 4 month old wether XB lamb, 35 kg LW. Legume pastures were assumed to have a OMD of 75% and phalaris based pastures were assumed at 70% OMD.
• The dry matter available for grazing was divided by the predicted dry matter intake and then multiplied by the predicted liveweight gains to produce an estimate (“index”) of lamb production.
Livestock estimations Model 2
Model 2 Est live KG of
DM Grazed Digestability Protein Est intake wt gain lamb Ranking
Species & species combination (kg/ha) % DM % DM kg/hd g/hd/day /ha/yr
Sub clover mono 10718 75 28.1 1.80 382 758 7
Lucerne mono 8416 75 27.3 1.77 360 571 10
Lucerne + Sub clover mix 10477 75 28.5 1.82 391 750 8
Lucerne + Sub clover 1:1 10124 75 28.3 1.81 388 723 9
Lucerne + Biserrula 1:1 6230 75 27.9 1.78 367 428 11
Lucerne + Medic 1:1 5806 75 27.7 1.77 360 394 12
Lucerne + Sub clover 1:2 10785 75 28.5 1.82 392 774 5
Phalaris + Lucerne + Sub 14724 70 21.3 1.68 305 891 1
Phalaris + Lucerne 1:1 + Sub 13469 70 21.6 1.69 313 832 2
Phalaris + Lucerne 1:2 + Sub 12374 70 21.9 1.70 317 769 6
Phalaris + Sub clover 1:1 13434 70 20.8 1.66 292 788 4
Phalaris + Sub clover mix 14498 70 19.7 1.62 267 796 3
Model 2 Model 2
KG of Est intake Est live
DM Grazed Est intake lamb Ranking g/hd/day wt gain Ranking
Species & species combination (kg/ha) kg/hd /ha/yr kg/ha
Sub clover mono 10718 1.80 758 7 1.64 405 7
Lucerne mono 8416 1.77 571 10 1.61 285 10
Lucerne + Sub clover mix 10477 1.82 750 8 1.65 401 8
Lucerne + Sub clover 1:1 10124 1.81 723 9 1.64 381 9
Lucerne + Biserrula 1:1 6230 1.78 428 11 1.63 191 11
Lucerne + Medic 1:1 5806 1.77 394 12 1.62 169 12
Lucerne + Sub clover 1:2 10785 1.82 774 5 1.65 415 6
Phalaris + Lucerne + Sub 14724 1.68 891 1 1.54 509 1
Phalaris + Lucerne 1:1 + Sub 13469 1.69 832 2 1.55 469 2
Phalaris + Lucerne 1:2 + Sub 12374 1.70 769 6 1.56 429 5
Phalaris + Sub clover 1:1 13434 1.66 788 4 1.52 445 4
Phalaris + Sub clover mix 14498 1.62 796 3 1.48 455 3
Livestock estimations Methods compared
Livestock performance
Wagga Wagga results • Adding phalaris to the pasture mix increased dry matter
and is likely to increase animal performance even when a lower OMD is assigned to phalaris in the modeling process.
• Lucerne plus biserrula and lucerne plus annual medic under performed.
• The lucerne monoculture under performed and required the addition of sub clover to boost production.
Livestock Livestock N-fix N-fix Overall
Model 1 Model 2 Scenario 1 Scenario 2 mean
Species & species combination ranking ranking ranking ranking rank
Sub clover mono 7 7 1 3 5
Lucerne mono 10 10 10 8 10
Lucerne + Sub clover mix 8 8 3 2 5
Lucerne + Sub clover 1:1 9 9 4 4 7
Lucerne + Biserrula 1:1 11 11 9 9 10
Lucerne + Medic 1:1 12 12 11 11 12
Lucerne + Sub clover 1:2 6 5 2 1 4
Phalaris + Lucerne + Sub mix 1 1 7 7 4
Phalaris + Lucerne 1:1 + Sub 2 2 6 5 4
Phalaris + Lucerne 1:2 + Sub 5 6 5 6 6
Phalaris + Sub clover 1:1 4 4 8 10 7
Phalaris + Sub clover mix 3 3 12 12 8
Overall performance Wagga Wagga
Wagga Wagga results • Best performing phalaris treatments had two legumes
species included (lucerne and sub clover either mixed or 1:1 sowing arrangement).
• The best performing pasture in the absence of phalaris was lucerne plus sub clover 1:2 sowing arrangement.
Overall performance
Overall performance Mirrool
Livestock Livestock N-fix N-fix Overall
Model 1 Model 2 Scenario 1 Scenario 2 mean
Species & species combination ranking ranking ranking ranking rank
Sub clover mono 7 6 1 6 5
Lucerne mono 9 9 8 3 7
Lucerne + Sub clover mix 8 8 3 2 5
Lucerne + Sub clover 1:1 10 10 5 4 7
Lucerne + Biserrula 1:1 6 7 2 1 4
Lucerne + Medic 1:1 12 12 7 7 10
Lucerne + Sub clover 1:2 11 11 4 5 8
Phalaris + Lucerne + Sub mix 3 2 9 9 6
Phalaris + Lucerne 1:1 + Sub 4 4 10 10 7
Phalaris + Lucerne 1:2 + Sub 2 1 6 8 4
Phalaris + Sub clover 1:1 5 5 11 11 8
Phalaris + Sub clover mix 1 3 12 12 7
Results in a wider context
Livestock Farm Monitor Project in Victoria – result shown are for Northern Victoria
• Running since 1971 • Compares average farm result to top 20% of farms as determined by on-
farm profitability
• The result highlight some important points.
Average Top 20% Difference
Gross income ($/ha) 433 607 174
Variable costs ($/ha) 151 146 -5
Overhead costs ($/ha) 104 112 8
EBIT ($/ha) 102 312 210
Net farm income ($/ha) 51 265 214
Return on assets (%) 2.0% 6.0% 0.04
Return on equity (%) 0.90% 6.80% 0.059
Northern Victoria whole farm financial summary
Average Top 20% Difference
Avg. Rainfall (mm) 659 657 -2
Stocking rate (DSE/ha) 9.8 11.4 1.6
DSE/ha/100 mm 1.5 1.6 0.1
July stocking rate (DSE/ha) 9.3 8.9 -0.4
Kg P/ha 6 9 3
Kg P/ha/100 mm 0.9 1.2 0.3
Pasture costs 32 52 20
Sup feeding kg/DSE (grain) 12.3 14.2 1.9
Northern Victoria livestock and pasture summary
Take home messages • Look at ways to grow more pasture and maintain adequate legume
content (species selection and sowing arrangement). This allows you to have a higher stocking rate (DSE/ha).
• Target soil Colwell P (phosphorus) at 30 to 35 mg/kg or Olsen P at 15 to 17 mg/kg for maximum pasture growth.
• Ensure your utilization of pasture is high (e.g. 40% plus) and increased stocking rate will help achieve this.
• Match livestock demand as best as possible with pasture supply by manipulating lambing/caving. This will help minimize additional feeding costs.
Thank you
Livestock Farm Monitor Project in Victoria – result shown are for Northern Victoria • Running since 1971 • Compares average farm result to top 20% as determined by profitability
http://agriculture.vic.gov.au/agriculture/livestock/farm-monitor-project
Findings include – the most profitable farms had: • More income per ha = higher profits
• More red meat and/or wool per ha but at a lower cost per ha • Grow more pasture • Have higher utilisation efficiencies and achieve this with higher stocking rates • Match livestock demands with feed supply (lambing / calving timing)
Average Top 20%
Sheep (head) 5,473 7,485
Cattle (head) 727 1,333
Labour efficiency (ha/person) 601 724 Labour efficiency (DSE/person) 5,782 8,146
Effective hectares 1,103 1,415
Northern Victorian livestock farm in 2013/14.
Average Top 20%
Wool 45% 11%
Lamb 23% 41%
Beef 28% 46%
Hay / cropping 4% 2%
Northern Victoria enterprise mix