Positive Mathematical Programming to Model Regional or Basin-Wide Implications of Producer Adoption of Practices Emerging from Plot-Based Research

Autor:	Nicolas Quintana-Ashwell, Gurpreet Kaur, Gurbir Singh, Drew Gholson, Christopher Delhom, L. Jason Krutz, Shraddha Hegde
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	positive mathematical programming integrated multidisciplinary research aquifer depletion land use allocations groundwater use irrigation Agriculture
Zdroj:	Agronomy, Vol 11, Iss 11, p 2204 (2021)
Druh dokumentu:	article
ISSN:	11112204 2073-4395 97851329
DOI:	10.3390/agronomy11112204
Popis:	A method for calibrating models of agricultural production and resource use for policy analysis is proposed to leverage multidisciplinary agricultural research at the National Center for Alluvial Aquifer Research (NCAAR). An illustrative example for Sunflower County, MS, is presented to show how plot-level research can be extended to draw systemic region or basin wide implications. A hypothetical improvement in yields for dryland soybean varieties is incorporated into the model and shown to have a positive impact on aquifer outcomes and producer profits. The example illustrates that a change in one practice-crop combination can have system-wide impacts, as evidenced by the change in acreages for all crops and practices.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/93c40b5e3acb44dcbbf97851329c5b7f Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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