Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach

Genetic improvement has been a major contributor to agricultural productivity in the United States, but many questions about the economics of crop breeding, such as the value of pre‐commercial germplasm, remain unanswered. This study estimates the marginal value of poorly characterized materials con...

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Detalles Bibliográficos
Autores principales: Zohrabian, Armineh, Traxler, Gregory, Caudill, Steven, Smale, Melinda
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 2003
Materias:
Acceso en línea:https://hdl.handle.net/10568/157888
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author Zohrabian, Armineh
Traxler, Gregory
Caudill, Steven
Smale, Melinda
author_browse Caudill, Steven
Smale, Melinda
Traxler, Gregory
Zohrabian, Armineh
author_facet Zohrabian, Armineh
Traxler, Gregory
Caudill, Steven
Smale, Melinda
author_sort Zohrabian, Armineh
collection Repository of Agricultural Research Outputs (CGSpace)
description Genetic improvement has been a major contributor to agricultural productivity in the United States, but many questions about the economics of crop breeding, such as the value of pre‐commercial germplasm, remain unanswered. This study estimates the marginal value of poorly characterized materials contained in the U.S. national germplasm system. Within the search theoretic framework, we apply a maximum entropy method to estimate the probability and the expected level of improvement in pest susceptibility relative to its best previously observed level. The results indicate that the lower‐bound estimate of benefit is significantly higher than the upper‐bound cost of conserving an accession.
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spelling CGSpace1578882025-12-08T09:54:28Z Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach Zohrabian, Armineh Traxler, Gregory Caudill, Steven Smale, Melinda wheat spatial planning diversification Genetic improvement has been a major contributor to agricultural productivity in the United States, but many questions about the economics of crop breeding, such as the value of pre‐commercial germplasm, remain unanswered. This study estimates the marginal value of poorly characterized materials contained in the U.S. national germplasm system. Within the search theoretic framework, we apply a maximum entropy method to estimate the probability and the expected level of improvement in pest susceptibility relative to its best previously observed level. The results indicate that the lower‐bound estimate of benefit is significantly higher than the upper‐bound cost of conserving an accession. 2003-05 2024-10-24T12:52:22Z 2024-10-24T12:52:22Z Journal Article https://hdl.handle.net/10568/157888 en Limited Access Wiley Zohrabian, Armineh; Traxler, Gregory; Caudill, Steven; Smale, Melinda. 2003. Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach. American Journal of Agricultural Economics 85(2): 430-437. https://doi.org/10.1111/1467-8276.00131
spellingShingle wheat
spatial planning
diversification
Zohrabian, Armineh
Traxler, Gregory
Caudill, Steven
Smale, Melinda
Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
title Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
title_full Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
title_fullStr Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
title_full_unstemmed Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
title_short Valuing Pre-Commercial Genetic Resources: A Maximum Entropy Approach
title_sort valuing pre commercial genetic resources a maximum entropy approach
topic wheat
spatial planning
diversification
url https://hdl.handle.net/10568/157888
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