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    • University of Missouri-Columbia
    • College of Agriculture, Food and Natural Resources (MU)
    • Division of Applied Social Sciences (MU)
    • Department of Agricultural Economics (MU)
    • Economics and Management of Agrobiotechnology Center (MU)
    • AgBioForum (Journal)
    • AgBioForum, vol. 16, no.1 (2013)
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • College of Agriculture, Food and Natural Resources (MU)
    • Division of Applied Social Sciences (MU)
    • Department of Agricultural Economics (MU)
    • Economics and Management of Agrobiotechnology Center (MU)
    • AgBioForum (Journal)
    • AgBioForum, vol. 16, no.1 (2013)
    • View Item
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    Adoption and productivity of breeding technologies : evidence from US dairy farms

    Khanal, Aditya R.
    Gillespie, Jeffrey
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    [PDF] AdoptionProductivityBreedingTech.pdf (261.7Kb)
    Date
    2013
    Format
    Article
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    Abstract
    Adoption and associated profitability of advanced breeding technologies are analyzed for US dairy farms. We account for correlation and selection associated with breeding technology adoption decisions. The bivariate probit model with selection is used to model adoption decisions and least squares with extended correction terms is used for profit, productivity, and cost equations. Results show that more specialized farms with younger, more educated operators having longer planning horizons are more likely to adopt advanced breeding technologies. Artificial insemination positively impacted farm profit and negatively impacted cost of milk production, while advanced breeding technologies positively impacted milk produced per cow.
    URI
    http://hdl.handle.net/10355/37348
    Citation
    AgBioForum, 16(1): 53-65.
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
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    • AgBioForum, vol. 16, no.1 (2013)

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