| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910703725603321 |
|
|
Autore |
Keppenne Christian L. |
|
|
Titolo |
Background error covariance estimation using information from a single model trajectory with application to ocean data assimilation into the GEOS-5 coupled model / / Christian L. Keppenne [and three others] |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Greenbelt, Maryland : , : National Aeronautics and Space Administration, Goddard Space Flight Center, , September 2014 |
|
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (21 pages) : color illustrations, maps |
|
|
|
|
|
|
Collana |
|
NASA/TM ; ; 2014-104606. Technical report series on global modeling and data assimilation ; ; volume 34 |
|
|
|
|
|
|
|
|
Soggetti |
|
Covariance |
Time series analysis |
Spatial distribution |
Temperature profiles |
Kalman filters |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Title from title screen (viewed Aug. 20, 2015). |
"September 2014." |
|
|
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references (pages 20-21). |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910557472303321 |
|
|
Autore |
Mercati Francesco |
|
|
Titolo |
Genetic Diversity Assessment and Marker-Assisted Selection in Crops |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
|
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 electronic resource (200 p.) |
|
|
|
|
|
|
Soggetti |
|
Research & information: general |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
The exploitation of biodiversity is essential to select resilient genotypes for sustainable cropping systems as one of the main challenges for plant breeding. Mapping traits of agronomic interest in specific genomic regions appears as another pivotal effort for the future development of novel cultivars. For this purpose, there is evidence that MAGIC and other exotic populations will play a major role in the coming years in allowing for impressive gains in plant breeding for developing new generations of improved cultivars. This Special Issue focused on the application of advanced technologies devoted to crop improvement and exploit the available biodiversity in crops. In detail, next-generation sequencing (NGS) technologies supported the development of high-density genotyping arrays for different plants included in this issue. |
|
|
|
|
|
|
|
| |