Embedded Seed Technology and Greenhouse Gas Emissions Reductions: A Meta-Analysis
Lanier Nalley,
Michael Popp and
Zara Niederman
Journal of Agricultural and Applied Economics, 2013, vol. 45, 13
Abstract:
Agriculture’s significant global contribution to greenhouse gas (GHG) emissions has spurred consumer and retailer interest in GHG mitigation and may lead to incentive programs for producers to lessen GHG emissions. Along those lines, a producer choice is the use of embedded seed technology designed to enhance the marketable portion of yield through improved disease, weed, and pest management with the same or lower use of inputs. This article examines commonalities and differences across three recent studies on rice, sweet corn, and cotton, which addressed the impacts of embedded seed technology on yield, input use, and GHG emissions. Embedded seed technology can be any method of improving the physical or genetic characteristics of a seed. These seed enhancements can include physiological quality, vigor, and synchronicity (consistency across seedlings in time of emergence and size) through traditional breeding, hybrid breeding, or biotechnology.
Keywords: Environmental; Economics; and; Policy (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/155428/files/jaae453ip14.pdf (application/pdf)
Related works:
Journal Article: Embedded Seed Technology and Greenhouse Gas Emissions Reductions: A Meta-Analysis (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:joaaec:155428
DOI: 10.22004/ag.econ.155428
Access Statistics for this article
More articles in Journal of Agricultural and Applied Economics from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().