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Feed gaps and the effect of cereal grazing in a dryland
    farming system of the South Australian Mallee –
           a crop-livestock model application

Katrien Descheemaeker, Andrew Moore
CSIRO Sustainable Agriculture Flagship

WCCA, Brisbane, 26-29 September 2011
Presentation overview

Introduction
    Study region: South Australian Mallee
    Objectives
Materials and Methods
    AusFarm model
    Typical farm for the Mallee
Results
    Feed gaps
    Effect of cereal grazing
Conclusions
Introduction

Study region
Mallee agro-ecological zone, south-eastern Australia
Mediterranean climate; 250-350 mm per year
High soil variability: dune (coarse soils) - swale (heavy soils) landscapes
Mixed farming: cereals (wheat, barley) + sheep & pastures (Medics)
                                                                   SA     Vic
Proportion of arable land cropped (%)                              57     72
Proportion of arable land expected to be cropped in 10 years (%)   63     76
Farmers keeping sheep (%)                                          85     56
Farmers keeping >1000 head of sheep (%)                            54     43
Farm area managed (arable ha)                                      2550   3090
Introduction

Constraints to farming
High spatial (soil quality) and temporal (climate) variability
Major feed gaps in bad years; feed supplementation limits farm profitability

Identifying solutions?
Integrated simulation models as R&D tool to
–   Describe and understand farming systems, their components and interactions
–   Identify gaps, bottlenecks
–   Assess the potential effect of interventions
Introduction

Objectives
To use the AusFarm whole farm system model to simulate long term crop,
   pasture and animal production for a typical farm in the SA Mallee,

To use the model as a tool to characterize the feedbase and feed gaps
   throughout the year,

To use the model as a tool to assess the potential for cereal grazing to
   overcome feed gaps
Materials and Methods

AusFarm: Crop-livestock farm system model
              AusFarm
               Manager


   Apsim               Grazplan
                                             Apsim: Keating et al., 2003
   Soil water          Pasture dynamics      www.apsim.info
   Soil nutrients      Livestock dynamics
   Crop dynamics                             Grazplan: Freer et al., 1997;
                                             Moore et al., 1997
                                             www.grazplan.csiro.au

Multiple paddocks & rotations
Scripting language for farm management rules
Long term climate data ; year-to-year variability
Materials and Methods

Building a “typical” farm model
Regional expert panel
Questionnaire to capture land use, management rules, production
   expectations
“Validation” of model outputs
–    literature values
–    iterative feedback process with expert panel


Feed gap analysis
Compare feed supply with feed demand
Feedbase and supplement intake

Effect of cereal grazing on the feedbase
Comparing baseline scenario with cereal grazing scenario
Long-term average
          “Typical” farm for the dry end of the Mallee




                                                                     Monthly rainfall


                                                                                                                              1999
                                                                                                                              1998
                                                                                                                              1997
                                                                                                                              1996
                                                                                                                              1995
                                                                                                                              1994
                                                                                                                              1993
                                                                                                                              1992
                                                                                                                              1991
                                                                                                                              1990
            Rainfall: 252 m per year




                                                                                                                              1989
                                                                                                                              1988
                                                                                                                              1987
                                                                                                                              1986
                                                                                                                              1985
                                                                                                                              1984
                                                                                                                              1983
            Location: Waikerie




                                                                                                                              1982
                                                                                                                              1981
                                                                                                                              1980
                                                                                                                              1979
                                                                                                                              1978
                                                                                                                              1977
                                                                                                                              1976
                                                                                                                              1975
                                                                                                                              1974
                                                                                                                              1973
                                                                                                                              1972
                                                                                                                              1971
                                                                                                                              1970
                                                                                                                              1969
                                                                                                                              1968
                                                                                                                              1967
                                                                                                                              1966
Results


                                                                                                                              1965
                                                                                                                              1964
                                                                                                                              1963
                                                                                                                              1962
                                                                                                                              1961
                                                                                                                              1960




                                                                                                                                     Annual rainfall
                                                                                                                              1959
                                                                                                                              1958
                                                                                                                              1957
                                                                                                                              1956
                                                                                                                              1955
                                                                                                                              1954
                                                                                                                              1953
                                                                                                                              1952
                                                                                                                              1951
                                                                                                                              1950




                                                                                                                          0
                                                                                                                    100
                                                         600


                                                               500


                                                                     400


                                                                                        300


                                                                                              200
Results

“Typical” farm for the dry end of the Mallee
  Location: Waikerie
  Rainfall: 252 m per year
  Total area: 2000 ha
  Soils: Dune (50%) and Swale (50%) soils
  Land use: 1/3 pasture; 2/3 cereals
  Rotation: Wheat / Barley / Pasture
  Self replacing Merino flock of ~ 1600 animals
      ( ~ 0.8 animals per farm ha)
  Animals graze medic pastures and stubble after
   harvest
  Supplements are fed to maintain body condition above
   critical state
Results

Feed gaps
Pasture supply vs demand
Major feed gaps in summer and autumn




                        Lambing time   MLA feed calculator
Results

Feed gaps
Feedbase: intake of various feed types
Results
Grazing cereals
10% of the “typical” farm
Comparison of 2 soil types: dune (100ha) and swale (100ha)

Early sowing: beginning of April

2 wheat varieties
• Dual purpose winter wheat variety (long vegetative growth
   stage; Wedgetail)
• Spring wheat variety (conventionally used in the Mallee; Mace)

Grazing assumptions:
•   Start: when biomass > 500 kg/ha and not plenty of pasture
•   End: when biomass < 200 kg/ha, max of 3 weeks
•   Dual-purpose variety: Zadoks growth stage < 30 (before stem
    elongation)

Flat fertilizer rate: 30 kg N/ha
Results

Grazing cereals
Results

Grazing cereals




                  Lambing time
Results
 Grazing cereals
 Dual-purpose winter wheat: not suited to Mallee environment
 -Season is too short
 -High grain yield penalties compared to conventional variety

 Spring variety: intended as forage to fill early winter feed gap
 -Grain yields not much considered
 -Suitable on poorer soils and with low inputs
                                             Dual
                                             purpose, winter
                                             wheat               Spring variety
Grazing days                                 27                  34
Cereal forage intake (kg/ewe/yr)             32                  41
Supplement intake (tonnes/farm/yr)           222 *               208 *
Yield penalty on dune soil (kg/ha)           476                 618
Yield penalty on swale soil (kg/ha)          246                 303
* Statistically significant decrease in supplement intake from
baseline scenario of 257 tonnes per year
Conclusions
AusFarm is a useful tool to understand mixed crop-livestock
systems
   -Allows crop, pasture and animal models to “talk” to each
   other
   -Allows complex farm management rules to be captured
Feed gaps were diagnosed by
   -Comparing feed supply with demand
   -Assessing feedbase and supplement intake
In the Mallee, feed gaps
    -occur over summer through to early winter
    -are a major risk factor
Early sowing of cereals on part of the farm has potential to
   -Produce good quality forage in May-June
   -Reduce reliance on supplementary feeding
Thank you!

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Feed gaps and the effect of cereal grazing in a dryland farming system of the South Australian Mallee - a crop-livestock model application. Katrien Descheemaeker

  • 1. Feed gaps and the effect of cereal grazing in a dryland farming system of the South Australian Mallee – a crop-livestock model application Katrien Descheemaeker, Andrew Moore CSIRO Sustainable Agriculture Flagship WCCA, Brisbane, 26-29 September 2011
  • 2. Presentation overview Introduction Study region: South Australian Mallee Objectives Materials and Methods AusFarm model Typical farm for the Mallee Results Feed gaps Effect of cereal grazing Conclusions
  • 3. Introduction Study region Mallee agro-ecological zone, south-eastern Australia Mediterranean climate; 250-350 mm per year High soil variability: dune (coarse soils) - swale (heavy soils) landscapes Mixed farming: cereals (wheat, barley) + sheep & pastures (Medics) SA Vic Proportion of arable land cropped (%) 57 72 Proportion of arable land expected to be cropped in 10 years (%) 63 76 Farmers keeping sheep (%) 85 56 Farmers keeping >1000 head of sheep (%) 54 43 Farm area managed (arable ha) 2550 3090
  • 4. Introduction Constraints to farming High spatial (soil quality) and temporal (climate) variability Major feed gaps in bad years; feed supplementation limits farm profitability Identifying solutions? Integrated simulation models as R&D tool to – Describe and understand farming systems, their components and interactions – Identify gaps, bottlenecks – Assess the potential effect of interventions
  • 5. Introduction Objectives To use the AusFarm whole farm system model to simulate long term crop, pasture and animal production for a typical farm in the SA Mallee, To use the model as a tool to characterize the feedbase and feed gaps throughout the year, To use the model as a tool to assess the potential for cereal grazing to overcome feed gaps
  • 6. Materials and Methods AusFarm: Crop-livestock farm system model AusFarm Manager Apsim Grazplan Apsim: Keating et al., 2003 Soil water Pasture dynamics www.apsim.info Soil nutrients Livestock dynamics Crop dynamics Grazplan: Freer et al., 1997; Moore et al., 1997 www.grazplan.csiro.au Multiple paddocks & rotations Scripting language for farm management rules Long term climate data ; year-to-year variability
  • 7. Materials and Methods Building a “typical” farm model Regional expert panel Questionnaire to capture land use, management rules, production expectations “Validation” of model outputs – literature values – iterative feedback process with expert panel Feed gap analysis Compare feed supply with feed demand Feedbase and supplement intake Effect of cereal grazing on the feedbase Comparing baseline scenario with cereal grazing scenario
  • 8. Long-term average “Typical” farm for the dry end of the Mallee Monthly rainfall 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 Rainfall: 252 m per year 1989 1988 1987 1986 1985 1984 1983 Location: Waikerie 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 Results 1965 1964 1963 1962 1961 1960 Annual rainfall 1959 1958 1957 1956 1955 1954 1953 1952 1951 1950 0 100 600 500 400 300 200
  • 9. Results “Typical” farm for the dry end of the Mallee Location: Waikerie Rainfall: 252 m per year Total area: 2000 ha Soils: Dune (50%) and Swale (50%) soils Land use: 1/3 pasture; 2/3 cereals Rotation: Wheat / Barley / Pasture Self replacing Merino flock of ~ 1600 animals ( ~ 0.8 animals per farm ha) Animals graze medic pastures and stubble after harvest Supplements are fed to maintain body condition above critical state
  • 10. Results Feed gaps Pasture supply vs demand Major feed gaps in summer and autumn Lambing time MLA feed calculator
  • 11. Results Feed gaps Feedbase: intake of various feed types
  • 12. Results Grazing cereals 10% of the “typical” farm Comparison of 2 soil types: dune (100ha) and swale (100ha) Early sowing: beginning of April 2 wheat varieties • Dual purpose winter wheat variety (long vegetative growth stage; Wedgetail) • Spring wheat variety (conventionally used in the Mallee; Mace) Grazing assumptions: • Start: when biomass > 500 kg/ha and not plenty of pasture • End: when biomass < 200 kg/ha, max of 3 weeks • Dual-purpose variety: Zadoks growth stage < 30 (before stem elongation) Flat fertilizer rate: 30 kg N/ha
  • 14. Results Grazing cereals Lambing time
  • 15. Results Grazing cereals Dual-purpose winter wheat: not suited to Mallee environment -Season is too short -High grain yield penalties compared to conventional variety Spring variety: intended as forage to fill early winter feed gap -Grain yields not much considered -Suitable on poorer soils and with low inputs Dual purpose, winter wheat Spring variety Grazing days 27 34 Cereal forage intake (kg/ewe/yr) 32 41 Supplement intake (tonnes/farm/yr) 222 * 208 * Yield penalty on dune soil (kg/ha) 476 618 Yield penalty on swale soil (kg/ha) 246 303 * Statistically significant decrease in supplement intake from baseline scenario of 257 tonnes per year
  • 16. Conclusions AusFarm is a useful tool to understand mixed crop-livestock systems -Allows crop, pasture and animal models to “talk” to each other -Allows complex farm management rules to be captured Feed gaps were diagnosed by -Comparing feed supply with demand -Assessing feedbase and supplement intake In the Mallee, feed gaps -occur over summer through to early winter -are a major risk factor Early sowing of cereals on part of the farm has potential to -Produce good quality forage in May-June -Reduce reliance on supplementary feeding