a decision support tool for optimizing integration of specialty crop enterprises in grain production...

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FOR OPTIMIZING INTEGRATION OF SPECIALTY CROP ENTERPRISES IN GRAIN PRODUCTION SYSTEMS Lori Hoagland Assistant Professor Specialty Crop Production Systems Department of Horticulture & Landscape Architecture Purdue University, USA

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Presentation from the WCCA 2011 conference in Brisbane, Australia.

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Page 1: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

A DECISION SUPPORT TOOL FOR OPTIMIZING INTEGRATION OF SPECIALTY CROP ENTERPRISES IN GRAIN PRODUCTION SYSTEMS

Lori HoaglandAssistant ProfessorSpecialty Crop Production SystemsDepartment of Horticulture & Landscape ArchitecturePurdue University, USA

Page 2: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Agriculture in the Midwestern U.S.

Early farms were small and highly diverse

1950’s – mechanization, inexpensive agrochemical inputs & crop subsidies

Today – 85% of cropland planted to corn and soybeans

Page 3: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Specialization vs. diversification

Specialization - greater productivity & market efficiency

- maintaining profitability becoming more difficult

- negative environmental and social consequences

Crop diversification - benefits: more balanced nutrient and pest management

cycles; greater farm income; reduced income variability

and risk

- large-scale shifts out of corn-soybeans unlikely

- integrating specialty crops as supplementary enterprises

Page 4: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Specialty crop opportunities in the MW

Demand for local specialty crop production is growing rapidly

Revitalize rural communities

- Create jobs

- Improve farm

income

Promote sound nutrition & health Contribute to environmental sustainability

Distribution of farmers markets in 2010

Page 5: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Integrating specialty crop enterprises

Specialty crop production requires more intensive management and greater planning

Adoption requires evidence of perceived benefit to the current system

Computer based land-use models

Page 6: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Objectives of this study

Determine feasibility of integrating various supplemental specialty crop enterprises

Identify supplemental crop alternatives that: - have agronomic and market feasibility

- contribute to the sustainability of the operation

- fit in during times of low labor requirements

- not require additional specialized machinery or

knowledge by the producer

Develop a decision support tool to help growers make decision regarding optimal acreage allocation

Page 7: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Methodology

Develop a base model of a typical corn-soybean operation in eastern Nebraska to identify periods for integration

- Average farm size, equipment compliment and debt

- Climatic conditions influencing time available for field tasks

- Labor availability of one full-time farm operator

- Activities associated with corn-soybean production

Page 8: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Corn-soybean base model

0

10

20

30

40

50

60

70

80

90

1 6 11 16 21 26 31 36 41 46 51

Weeks

Lab

or

(Ho

urs

/Week)

Field Tasks Off Tasks Field Time Available Off Time Available

Page 9: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Viable enterprise alternatives

1) Residue grazing by livestock 2) Winter Wheat/Fall Cabbage

3) Spring Cabbage/ Fall Sunflower

4) Agroforestry

Page 10: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Enterprise budgets & LP model Detailed enterprise budgets for each

alternative - activities and labor requirements

- costs, returns, subsidy payments, etc.

Dynamic linear programming model - land (256 ha) and machinery held constant

- labor: one full-time operator

- available capital unlimited

- 3.75 ha windbreak system held constant

- market constraints on woody floral crops

Page 11: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Results

     Net return

 System  Land allocation (ha) Without  subsidies

 With  subsidies

Corn-soybeans alone CS - 256 ($4,765.44) $21,480.96 Grazing considered CS - 256 ($925.44) $25,320.96 Winter wheat/fall cabbage considered CS - 247.90; WW/FC - 8.10 $34,502.72 $60,754.79 Spring cabbage/sunflower considered CS - 254.54; SC/S - 1.46 $3,489.66 $29,686.05 Windbreaks and woody florals considered with market constraints

CS - 254.96; WB - 3.75; SC - 0.10 ; GW - 0.13; BR - 0.02 $4,174.37 $30,011.95

All options considered CS - 243.54; WW/FC -7.88; SC/S - 0.54 WB - 3.75; SC - 0.10; GW - 0.13; BR - 0.02 $40,637.44 $66,456.97

CS-corn-soybeans; WW/FC-winter wheat/fall cabbage; SC/S-spring cabbage-sunflower; WB-windbreak; Woody florals: SC-scarlet curls; GW-goal willow; BR-bailey redtwig dogwood

Subsidies and labor constraints keep majority of land in grain crops

Page 12: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Sensitivity analyses

     Net return

 System  Land allocation (ha) Without  subsidies

 With  subsidies

Corn-soybeans alone CS – 256 ($4,765.44) $21,480.96

All options considered CS – 243.54; WW/FC – 7.88; SC/S – 0.54; WB – 3.75; SC – 0.10; GW – 0.13; BR – 0.02 $40,637.44 $66,456.97

All options considered with additional market opportunities

CS – 243.54; WW/FC – 7.88; SC/S – 0.54; WB – 3.75; SC – 0.29 $49,152.07 $74,971.60

All options consideredwith market constraints and an additional full-time skilled operator

CS – 243.54; WW/FC – 7.88; SC/S – 0.54; WB – 3.75; SC – 0.10; GW – 0.13; BR – 0.02 $40,637.44 $66,456.97

All options considered with market constraints and part-time seasonal labor

CS – 233.23; WW/FC – 8.32; SC/S – 10.2; WB – 3.75; SC – 0.10; GW – 0.13; BR – 0.02 $86,758.25 $111,443.93

Additional market opportunities and labor

CS-corn-soybeans; WW/FC-winter wheat/fall cabbage; SC/S-spring cabbage-sunflower; WB-windbreak; Woody florals: SC-scarlet curls; GW-goal willow; BR-bailey redtwig dogwood

Page 13: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Summary and considerations

Diversification with supplemental specialty crop enterprises

- is feasible and profitable

- challenges: greater planning, lack

of infrastructure, farm policy

Computer based land-use models can help growers evaluate alternatives and optimize acreage allocation

Decorative woody florals

Page 14: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Acknowledgements

Graduate committee at the University of Nebraska-Lincoln

- Dr. Laurie Hodges, Associate Professor, Horticulture

- Dr. James Brandle, Professor, Agroforestry

- Dr. Glenn Helmers, Professor Emeritus, Agricultural

Economics

- Dr. Charles Francis, Professor, Agronomy Funding: - University of Nebraska-Lincoln and Purdue

University

Agriculture Research Programs

Page 15: A decision support tool for optimizing integration of specialty crop enterprises in grain production systems. Lori Hoagland

Questions?