Soil Quality Attribute Time Paths: Optimal Levels and Values

We develop a dynamic soil quality model to evaluate optimal cropping systems in the northern Great Plains. Modeling soil quality attributes is feasible, and attribute model results apply to a wide range of soils. A crop production system with continuous spring wheat and direct planting is the most p...

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Main Authors: Elwin G. Smith, Mel L. Lerohl, Teklay Messele, H. Henry Janzen
Format: Article
Language:English
Published: Western Agricultural Economics Association 2000-07-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/30827
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spelling doaj-4e40ea405da846e7a4dbbebeef5d4b242020-11-25T02:38:42ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852000-07-0125130732410.22004/ag.econ.3082730827Soil Quality Attribute Time Paths: Optimal Levels and ValuesElwin G. SmithMel L. LerohlTeklay MesseleH. Henry JanzenWe develop a dynamic soil quality model to evaluate optimal cropping systems in the northern Great Plains. Modeling soil quality attributes is feasible, and attribute model results apply to a wide range of soils. A crop production system with continuous spring wheat and direct planting is the most profitable system. This system has low soil erosion and high quality attributes, indicating the benefits of increased soil quality exceed the higher maintenance costs. On-site value of additional soil organic carbon (OC) ranges from $1 to $4/ton OC/hectare/year. These values for soil OC impact the optimum tillage practice, but not the crop rotation.https://ageconsearch.umn.edu/record/30827cropping systemsmarginal user benefitnonlinear programmingorganic carbonsoil qualitytillage
collection DOAJ
language English
format Article
sources DOAJ
author Elwin G. Smith
Mel L. Lerohl
Teklay Messele
H. Henry Janzen
spellingShingle Elwin G. Smith
Mel L. Lerohl
Teklay Messele
H. Henry Janzen
Soil Quality Attribute Time Paths: Optimal Levels and Values
Journal of Agricultural and Resource Economics
cropping systems
marginal user benefit
nonlinear programming
organic carbon
soil quality
tillage
author_facet Elwin G. Smith
Mel L. Lerohl
Teklay Messele
H. Henry Janzen
author_sort Elwin G. Smith
title Soil Quality Attribute Time Paths: Optimal Levels and Values
title_short Soil Quality Attribute Time Paths: Optimal Levels and Values
title_full Soil Quality Attribute Time Paths: Optimal Levels and Values
title_fullStr Soil Quality Attribute Time Paths: Optimal Levels and Values
title_full_unstemmed Soil Quality Attribute Time Paths: Optimal Levels and Values
title_sort soil quality attribute time paths: optimal levels and values
publisher Western Agricultural Economics Association
series Journal of Agricultural and Resource Economics
issn 1068-5502
2327-8285
publishDate 2000-07-01
description We develop a dynamic soil quality model to evaluate optimal cropping systems in the northern Great Plains. Modeling soil quality attributes is feasible, and attribute model results apply to a wide range of soils. A crop production system with continuous spring wheat and direct planting is the most profitable system. This system has low soil erosion and high quality attributes, indicating the benefits of increased soil quality exceed the higher maintenance costs. On-site value of additional soil organic carbon (OC) ranges from $1 to $4/ton OC/hectare/year. These values for soil OC impact the optimum tillage practice, but not the crop rotation.
topic cropping systems
marginal user benefit
nonlinear programming
organic carbon
soil quality
tillage
url https://ageconsearch.umn.edu/record/30827
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AT melllerohl soilqualityattributetimepathsoptimallevelsandvalues
AT teklaymessele soilqualityattributetimepathsoptimallevelsandvalues
AT hhenryjanzen soilqualityattributetimepathsoptimallevelsandvalues
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