Strategie molekularne w nowoczesnej hodowli roślin

Alheit K. V., Reif J. C., Maurer H. P., Hahn V., Weissmann E.A., Miedaner T., Würschum T. 2011. Detection of segregation distortion loci in triticale (x Triticosecale Wittmack) based on a high density DArT marker consensus genetic linkage map. BMC Genomics 12: 380.
Google Scholar

Bar-Hen A., Charcosset A., Bourgoin M., Guiard J. 1995. Relationship between genetic markers and morphological traits in a maize inbred line collection. Euphytica 84, 2: 145 — 154.
Google Scholar

Beer S., Siripoonwiwat W., O’Donoughue L., Souza E., Mathews D., Sorrels M. 1997. Associations between molecular markers and quantitative traits in oat germplasm pool: can we infer linkages? J. Agric. Genom. 3 http://wheat.pw.usda.gov/jag/papers97/paper197/jqt.
Google Scholar

Boopathi M. N., 2013. Genetic mapping and marker assisted selection: basics, practice and benefits. Published by Springer India: 23–37 pp., 117 — 163 pp.
Google Scholar

Börner A., Korzun V. 1998. A consensus linkage map of rye (Secale cereale L.) including 374 RFLPs, 24 isozymes and 15 gene loci. Theor. Appl. Genet. 97, 8: 1279 — 1288.
Google Scholar

Broman K. W. 2001. Review of statistical methods for QTL mapping in experimental crosses. Lab Animal. 30, 7: 44 — 52.
Google Scholar

Carling J., Heller-Uszyńska K., Jaccoud D., Machado A., Hopper C., Xia L., Vippin C., Caig V., Uszyński G., Kilian A. 2015. DArTTM and DArTseqTM genome profiling for breeding, pre-breeding and population genetics applications. Contribution P0052, XXIII Plant and Animal Genome, San Diego, CA 10 — 14.
Google Scholar

Cavanagh C., Morell M., Mackay I., Powell W. 2008. From mutations to MAGIC: resources for gene discovery, validation and delivery in crop plants. Cur. Opin. Plant Biol. 11: 215 — 221.
Google Scholar

Chankaew S., Isemura T., Naito K., Ogiso-Tanaka E., Tomooka N., Somta P., Kaga A., Vaughan D. A., Srinives P. 2014. QTL mapping for salt tolerance and domestication-related traits in Vigna marina subsp. oblonga, a halophytic species. Theor. Appl. Genet. 127, 3: 691 — 702.
Google Scholar

Elshire R. J., Glaubitz J. C., Sun Q., Poland J. A., Kawamoto K., Buckler E. S., Mitchell S. E. 2011. A Robust, Simple Genotyping-by-Sequencing (GBS) approach for high diversity species. PLoS ONE 6, 5: e19379.
Google Scholar

Gale M. D., Atkinson M. D., Chinoy C. N., Harcourt R. L., Jia J., Li Q. Y., Devos K. M. 1995. Genetic maps of hexaploid wheat. In Proc 8th Int. Wheat Genet Symp. China Agricultural Scientech Press, Beijing (pp. 29 — 40).
Google Scholar

Habier D., Fernando R. L., Garrick D. J. 2013. Genomic BLUP decoded: a look into the black box of genomic prediction. Genetics 194: 597 — 607.
Google Scholar

Haley C. S., Knot S. A. 1992. A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69: 315 — 324.
Google Scholar

Hall D., Tegströmand C., Ingvarsson P. K. 2010. Using association mapping to dissect the genetic basis of complex traits in plants. Brief Funct Genomics 9, 2: 157 — 165.
Google Scholar

Hamblin M. T., Buckler E. S., Jannink J. L. 2011. Population genetics of genomics-based crop improvement methods. Trends Genet. 27, 3: 98 — 106.
Google Scholar

Heffner E. L., Sorrells M. E., Jannink J.-L. 2009. Genomic selection for crop improvement. Crop Sci. 49: 1 — 12.
Google Scholar

Hospital F. 2005. Selection in backcross programmes. Phil. Trans. R. Soc. B. 360: 1503 — 1511.
Google Scholar

Jansen R. C. 1993. Interval mapping of multiple quantitative trait loci. Genetics 135: 205 — 211.
Google Scholar

Jonas E., de Koning D.-J. 2013 Does genomic selection have a future in plant breeding?, Trends Biotechnol. 31, 9: 497 — 504.
Google Scholar

Kao C.-H., Zeng Z.-B., Teasdale R. D. 1999. Multiple Interval Mapping for Quantitative Trait Loci. Genetics. 152, 3: 1203 — 1216.
Google Scholar

Kearsey M. J., Farquhar A. G. L. 1998. QTL analysis; where are we now? Heredity 80, 2: 137 — 142.
Google Scholar

Kennard W., Phillips R., Porter R., Grombacher A., Phillips R. L. 1999. A comparative map of wild rice (Zizania palustris L. 2n=2x=30). Theor Appl Genet. 99: 5: 793 — 799.
Google Scholar

Lander E. S., Botstein D. 1989. Mapping mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121, 1: 185 — 199.
Google Scholar

Langridge P., Karakousis A., Collins N., Kretschmer J., Manning S. 1995. A consensus linkage map of barley. Mol Breed. 1: 389 — 395.
Google Scholar

Mansur L. M., Lark K. G., Kross H., Oliveira A. 1993. Interval mapping of quantitative trait loci for reproductive, morphological, and seed traits of soybean (Glycine max L.). Theor. Appl. Genet. 86, 8: 907 — 913.
Google Scholar

Mauricio R. 2001. Mapping Quantitative Trait loci in plants: uses and caveats for evolutionary biology. Nature 2: 370 — 380.
Google Scholar

McMullen M. D., Louie R. 1989. The linkage of molecular markers to a gene controlling the symptom response in maize to maize dwarf mosaic virus. Mol Plant Microbe Interact. 2: 309 — 314.
Google Scholar

Meuwissen T. H. E., Hayes B. J., Goddard M. E. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics 157: 1819 — 1829.
Google Scholar

Milczarski P., Bolibok-Brągoszewska H., Myśków B., Stojałowski S., Heller-Uszyńska K., Góralska M., Brągoszewski P., Uszyński G., Kilian A., Rakoczy-Trojanowska M. 2011. A high density consensus map of rye (Secale cereale L.) based on DArT markers. PLoS ONE 6:12: e28495.
Google Scholar

Mitchell-Olds T. 1995. Interval mapping of viability loci causing heterosis in Arabidopsis. Genetics. 140, 3: 1105 — 1109.
Google Scholar

Nakaya A., Isobe S. N. 2012. Will genomic selection be a practical method for plant breeding? Ann Bot. 110: 1303 — 1316.
Google Scholar

Pereira M. G., Lee M. 1995. Identification of genomic regions affecting plant height in sorghum and maize. Theor Appl Genet. 90, 3-4: 380 — 388.
Google Scholar

Pritchard J. 2001. Deconstructing maize population structure. Nat Genet. 28 (3): 203 — 204.
Google Scholar

Pritchard J. K., Stephens M, Rosenberg N.A., Donnelly P. 2000. Association mapping in structured populations. Am J Hum Genet. 67: 170 — 181.
Google Scholar

Qi Z., Han X., Hou M., Xin D., Wang Z., Zhu R., Hu Z., Jiang H., Li C., Liu C., Hu G., Chen Q. 2014. QTL analysis of soybean oil content under 17 environments. Can. J. Plant Sci. 94: 245 — 261.
Google Scholar

Rafalski J. A. 2010. Association genetics in crop improvement. Current Opinion in Plant Biology 13, 2: 174 — 180.
Google Scholar

Sax K. 1923. The association of size differences with seed-coat pattern and pigmentation in Phaseolus vulgaris. Genetics 8: 552 — 560.
Google Scholar

Semagn K., Bjørnstad Å., Ndjiondjop M. N. 2006. An overview of molecular marker methods for plants. Afr. J. Biotechnol. 5, 25: 2540 — 2568.
Google Scholar

Semagn K., Bjørnstad A., Xu Y. 2010. The genetic dissection of quantitative traits in crops. Electron J Biotechnol. 13: 5, http://dx.doi.org/10.2225/vol13-issue5-fulltext-14.
Google Scholar

Soto-Cerda B. J., Cloutier S. 2012. Genetic Diversity in Plants. Association mapping in plant genomes. Red. Çalişkan M., http://www.intechopen.com/books/genetic-diversity-in-plants/association-mapping-in-plant-genomes, pp. 29 — 54.
Google Scholar

Thomson M. J., Tai T. H., McClung A. M., Lai X-H., Hinga M. E., Lobos K. B., Xu Y., Martinez C. P., McCouch S. R. 2003. Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson. Theor. Appl. Genet. 107, 3: 479 — 93.
Google Scholar

Virk P., Ford-Lloyd B., Jackson M., Pooni H., Clemeno T., Newbury H. 1996. Predicting quantitative variation within rice germplasm using molecular markers. Heredity 76, 3: 296 — 304.
Google Scholar

Xu Y., Crouch J. H. 2008. Marker-assisted selection in plant breeding: from publications to practice. Crop Sci. 48: 391 — 407.
Google Scholar

Yap I. V., Schneider D., Kleinberg J., Matthews D., Cartinhour S., McCouch S. R. 2003. A graph-theoretic approach to comparing and integrating genetic, physical and sequence-based maps. Genetics 165: 2235 — 2247.
Google Scholar

Young N. D., Zamir D., Ganal M. W., Tanksley S. D. 1988. Use of isogenic lines and simultaneous probing to identify DNA markers tightly linked to the Tm-2a gene in tomato. Genetics 120: 579 — 585.
Google Scholar

Yu J., Holland J. B., McMullen M. D., Buckler E. S. 2008. Genetic design and statistical power of nested association mapping in maize. Genetics 178: 539 — 551.
Google Scholar

Zeng A., Chen P., Shi A., Wang D., Zhang B., Orazaly M., Florez-Palacios L., Brye K., Song Q., Cregan P. 2014. Identification of quantitative trait loci for sucrose content in soybean seed. Crop Sci. 54, 2: 554 — 564.
Google Scholar

Zeng Z.-B. 1993. Theoretical basis of separation of multiple linked gene effects on mapping quantitative trait loci. Proc. Natl. Acad. Sci. 90: 10972 — 10976.
Google Scholar

Zeng Z.-B. 1994. Precision mapping of quantitative trait loci. Genetics 136: 1457 — 1468.
Google Scholar