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Diagnostics in Plant Breeding 2013 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 521 pages, height x width: 235x155 mm, weight: 8073 g, 32 Illustrations, color; 44 Illustrations, black and white; XV, 521 p. 76 illus., 32 illus. in color., 1 Paperback / softback
  • Izdošanas datums: 07-Mar-2015
  • Izdevniecība: Springer
  • ISBN-10: 9400794738
  • ISBN-13: 9789400794733
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 521 pages, height x width: 235x155 mm, weight: 8073 g, 32 Illustrations, color; 44 Illustrations, black and white; XV, 521 p. 76 illus., 32 illus. in color., 1 Paperback / softback
  • Izdošanas datums: 07-Mar-2015
  • Izdevniecība: Springer
  • ISBN-10: 9400794738
  • ISBN-13: 9789400794733
This book examines the development and application of molecular tools for the prediction of plant performance.

“Diagnostics in Plant Breeding” is systematically organizing cutting-edge research reviews on the development and application of molecular tools for the prediction of plant performance. Given its significance for mankind and the available research resources, medical sciences are leading the area of molecular diagnostics, where DNA-based risk assessments for various diseases and biomarkers to determine their onset become increasingly available. So far, most research in plant genomics has been directed towards understanding the molecular basis of biological processes or phenotypic traits. From a plant breeding perspective, however, the main interest is in predicting optimal genotypes based on molecular information for more time- and cost-efficient breeding schemes. It is anticipated that progress in plant genomics and in particular sequence technology made recently will shift the focus from “explanatory” to “predictive” in crop science. This book assembles chapters on all areas relevant to development and application of predictive molecular tools in plant breeding by leading authorties in the respective areas.
Section
1. Introduction.
Chapter
1. Diagnostics in plants; T.
Lübberstedt.
Chapter
2. Non-DNA biomarkers; Christin Falke.- Section
2.
Identification of quantitative trait polymorphisms (QTPs).
Chapter
3. Gene
identification: forward genetics; Qing Ji.
Chapter
4. Gene identification:
reverse genetics; George Haughn.
Chapter
5. Allele re-sequencing
technologies; Torben Asp.
Chapter
6. Association studies; Yongsheng Chen.-
Section
3. Validation of QTPs.
Chapter
7. TILLING; Gunter Backes.
Chapter
8. Gene Replacement; Paul Hooykaas, Sylvia de Pater.- Section
4. Conversion
of QTPs into Functional Markers.
Chapter
9. SNP genotyping technologies;
Bruno Studer.
Chapter
10. INDEL genotyping technologies; Toshihiko Yamada et
al.
Chapter
11. Sequencing for genotyping; Rajeev Varshney.- Section
5.
Development of Non-DNA Biomarkers.
Chapter
12. Methylation-based markers;
Emidio Albertini, Gianpiero Marconi.
Chapter
13. RNA; Stefan Scholten.-
Chapter
14. Metabolites; Olga Zabotina.- Section
6. Deposition of Diagnostic
Marker information.
Chapter
15. Plant Genetic Databases; Carolyn Lawrence.-
Section
7. Statistical considerations.
Chapter
16. Epistasis, QTP x
environment interactions, and pleiotropy: value of a FM; Everton Brenner.-
Section
8. Applications in plant breeding.
Chapter
17. Parent selection
usefulness; Adel Abdel-Ghani.
Chapter
18. Variety registration and
protection; David Lee et al.- Section
9. Examples.
Chapter
19. Maize;
Mingliang Xu et al.
Chapter
20. Rice; Yongzhong Xing et al.
Chapter
21.
Traits; Birgit Arnholdt-Schmitt, Helia Cardoso.