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1.
Agribusiness (N Y N Y) ; 37(1): 122-141, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33362337

RESUMO

The novel coronavirus SARS-CoV2 (COVID-19) severely disrupted the U.S. food supply chain. In its initial aftermath, and as we contemplate a potential reignition, the food supply chain industries, researchers, and policy makers search for evidence, causes, and consequences. This article uses publicly available data on the pork and egg industries and a survey of the turkey industry as a first step to document the impact of COVID-19. Researchers can learn from the experiences in industries where disruptions evolve differently in the face of simultaneous supply- and demand-side shocks and that stem from differences in structures of the supply chains. This early evidence is used to motivate future research needs and highlight opportunities for industry investments in resiliency strategies.

2.
Sci Rep ; 10(1): 14957, 2020 09 11.
Artigo em Inglês | MEDLINE | ID: mdl-32917920

RESUMO

Maize (corn) is the dominant grain grown in the world. Total maize production in 2018 equaled 1.12 billion tons. Maize is used primarily as an animal feed in the production of eggs, dairy, pork and chicken. The US produces 32% of the world's maize followed by China at 22% and Brazil at 9% ( https://apps.fas.usda.gov/psdonline/app/index.html#/app/home ). Accurate national-scale corn yield prediction critically impacts mercantile markets through providing essential information about expected production prior to harvest. Publicly available high-quality corn yield prediction can help address emergent information asymmetry problems and in doing so improve price efficiency in futures markets. We build a deep learning model to predict corn yields, specifically focusing on county-level prediction across 10 states of the Corn-Belt in the United States, and pre-harvest prediction with monthly updates from August. The results show promising predictive power relative to existing survey-based methods and set the foundation for a publicly available county yield prediction effort that complements existing public forecasts.

3.
Prev Vet Med ; 151: 5-12, 2018 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-29496106

RESUMO

Veterinary diagnostic laboratories (VDLs) play a significant role in the prevention and mitigation of endemic animal diseases and serve an important role in surveillance of, and the response to, outbreaks of transboundary and emerging animal diseases. They also allow for business continuity in livestock operations and help improve human health. Despite these critical societal roles, there is no academic literature on the economic impact of VDLs. We present a case study on the economic impact of the Iowa State University Veterinary Diagnostic Laboratory (ISUVDL). We use economic contribution analysis coupled with a stakeholder survey to estimate the impact. Results suggest that the ISUVDL is responsible for $2,162.46 million in direct output, $2,832.45 million in total output, $1,158.19 million in total value added, and $31.79 million in state taxes in normal years. In an animal health emergency this increases to $8,446.21 million in direct output, $11,063.06 million in total output, $4,523.70 million in total value added, and $124.15 million in state taxes. The ISUVDL receives $4 million annually as a direct state government appropriation for operating purposes. The $31.79 million in state taxes in normal years and the $124.15 million in state taxes in an animal health emergency equates to a 795% and 3104% return on investment, respectively. Estimates of the economic impact of the ISUVDL provide information to scientists, administrators, and policymakers regarding the efficacy and return on investment of VDLs.


Assuntos
Doenças dos Animais/prevenção & controle , Laboratórios/economia , Universidades/economia , Medicina Veterinária/economia , Doenças dos Animais/economia , Animais , Investimentos em Saúde , Iowa , Medicina Veterinária/instrumentação
4.
Curr Opin Microbiol ; 19: 30-36, 2014 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-24997397

RESUMO

Denmark was among the first countries to ban the use of antimicrobials for growth promotion (AGPs) in animal production through an on-going series of actions and regulations since 1995. In 2010 the Yellow Card scheme was adopted to decrease total antimicrobial consumption in pig production through additional restrictions on pig farmers. The withdrawal of AGPs and other restrictions have reduced total antimicrobial use, but at the same time therapeutic drug use has increased and resistance in key zoonotic bacteria has not decreased. Improved use of vaccines and management practices can help reduce losses especially for weaner pigs, but come with additional costs to producers.


Assuntos
Criação de Animais Domésticos/legislação & jurisprudência , Anti-Infecciosos , Agricultura , Animais , Dinamarca , Suínos
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