999 resultados para Kansas State Agricultural College. Experiment Station.


Relevância:

100.00% 100.00%

Publicador:

Resumo:

Mode of access: Internet.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"In cooperation with Texas Agricultural Experiment Station."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"In cooperation with Colorado State University Experiment Station."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Vols. 8- called also "University of the Philippines publications: Series A."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

No. 1-15 title reads: Dakota Agricultural College and Experiment Station. Other variations.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Title varies slightly.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Title from caption.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Mode of access: Internet.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Continued In the Experiment Station's Circulars

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Includes index.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"U.S. Experiment Station, South Dakota, in connection with the South Dakota Agricultural College."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Research networks provide a framework for review, synthesis and systematic testing of theories by multiple scientists across international borders critical for addressing global-scale issues. In 2012, a GHG research network referred to as MAGGnet (Managing Agricultural Greenhouse Gases Network) was established within the Croplands Research Group of the Global Research Alliance on Agricultural Greenhouse Gases (GRA). With involvement from 46 alliance member countries, MAGGnet seeks to provide a platform for the inventory and analysis of agricultural GHG mitigation research throughout the world. To date, metadata from 315 experimental studies in 20 countries have been compiled using a standardized spreadsheet. Most studies were completed (74%) and conducted within a 1-3-year duration (68%). Soil carbon and nitrous oxide emissions were measured in over 80% of the studies. Among plant variables, grain yield was assessed across studies most frequently (56%), followed by stover (35%) and root (9%) biomass. MAGGnet has contributed to modeling efforts and has spurred other research groups in the GRA to collect experimental site metadata using an adapted spreadsheet. With continued growth and investment, MAGGnet will leverage limited-resource investments by any one country to produce an inclusive, globally shared meta-database focused on the science of GHG mitigation.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

By applying a directed evolution methodology specific enzymatic characteristics can be enhanced, but to select mutants of interest from a large mutant bank, this approach requires high throughput screening and facile selection. To facilitate such primary screening of enhanced clones, an expression system was tested that uses a green fluorescent protein (GFP) tag from Aequorea victoria linked to the enzyme of interest. As GFP`s fluorescence is readily measured, and as there is a 1:1 molar correlation between the target protein and GFP, the concept proposed was to determine whether GFP could facilitate primary screening of error-prone PCR (EPP) clones. For this purpose a thermostable beta-glucosidase (BglA) from Fervidobacterium sp. was used as a model enzyme. A vector expressing the chimeric protein BglA-GFP-6XHis was constructed and the fusion protein purified and characterized. When compared to the native proteins, the components of the fusion displayed modified characteristics, such as enhanced GFP thermostability and a higher BglA optimum temperature. Clones carrying mutant BglA proteins obtained by EPP, were screened based on the BglA/GFP activity ratio. Purified tagged enzymes from selected clones resulted in modified substrate specificity.