LEADER 04325nam 2200565Ia 450 001 9910437834203321 005 20200520144314.0 010 $a94-007-5687-9 024 7 $a10.1007/978-94-007-5687-8 035 $a(CKB)3460000000120396 035 $a(EBL)1083618 035 $a(OCoLC)902404369 035 $a(SSID)ssj0000878738 035 $a(PQKBManifestationID)11476028 035 $a(PQKBTitleCode)TC0000878738 035 $a(PQKBWorkID)10850311 035 $a(PQKB)11650659 035 $a(DE-He213)978-94-007-5687-8 035 $a(MiAaPQ)EBC1083618 035 $a(PPN)168341549 035 $a(EXLCZ)993460000000120396 100 $a20130311d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDiagnostics in plant breeding /$fThomas Lubberstedt, Rajeev K. Varshney, editors 205 $a1st ed. 2013. 210 $aDordrecht ;$aNew York $cSpringer$dc2013 215 $a1 online resource (517 p.) 300 $aIncludes index. 311 $a94-007-9473-8 311 $a94-007-5686-0 327 $aSection 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. 330 $a?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 authorities in the respective areas. 606 $aPlant breeding 606 $aPlant genetics 615 0$aPlant breeding. 615 0$aPlant genetics. 676 $a631.52 701 $aLubberstedt$b Thomas$01763119 701 $aVarshney$b R. K$g(Rajeev K.),$f1973-$0313303 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437834203321 996 $aDiagnostics in plant breeding$94203397 997 $aUNINA