Genetyka ilościowa — przegląd przez stulecie

Adamski T. 1993. Wykorzystanie linii podwojonych haploidów w analizie statystyczno-genetycznej cech ilościowych. Rozprawy i Monografie IGR PAN nr 2.
Google Scholar

Adamski T., Jeżowski S., Kurhańska G., Surma M. 1983. Zastosowanie metody bulbosowej w hodowli jęczmienia. Hodowla Roślin 4: 1 — 5.
Google Scholar

Adamski T., Kaczmarek Z., Surma M. (1987). Ocena liczby czynników efektywnych na podstawie linii autodiploidalych. Siedemnaste Colloquium Metodologiczne z Agrobiometrii, PAN, Warszawa, 247 — 256.
Google Scholar

Bagge M., Xia X., Lübberstedt T. 2007. Functional markers in wheat. Current opinion in plant biology, 10: 211 — 216.
Google Scholar

Choo T. M. 1981. Doubled haploids for studying the inheritance of quantitative characters. Genetics 99: 525 — 540.
Google Scholar

Choo T. M., Reinbergs E. 1982. Estimation of number of genes in doubled haploid populations of barley (Hordeum vulgare L.). Can. J. Genet. Cytol. 24: 337 — 341.
Google Scholar

Dammerval C., Maurice A., Josse J.M., Vienne, D. de 1994. Quantitative trait loci underlying gene product variation: a novel perspective for analyzing regulation of gene expression. Genetics 137: 289 — 301.
Google Scholar

Dobek A., Kaczmarek Z., Kiełczewska F., Łuczkiewicz T. 1978. Podstawy i założenia analizy statystycznej krzyżówek diallelicznych. II. Analiza genetyczna. Ósme Colloquium Metodologiczne z Agro-Biometrii, PAN, Warszawa: 146 — 168.
Google Scholar

Doerge R. W., Zeng Z. B., Weir B. S. 1997. Statistical issues in the search for genes affecting quantitative traits in experimental populations. Statistical Science 12: 195 — 219.
Google Scholar

East E. M. 1916. Studies on size inheritance in Nicotiana. Genetics 1: 164 — 176.
Google Scholar

Fisher R. A. 1918. The correlation between relatives on the supposition of Mendelian inheritance. Trans. Roy. Soc. Edinburgh 52: 399 — 433.
Google Scholar

Gardner C. O. 1977. Quantitative genetic research in plants: past accomplishments and research needs. W: Proceedings of the International Conference Quantitative Genetics (Pollak E., Kempthorne O., Bailey T.B. Jr., red.), Iowa State Univ. Press, Ames: 29 — 37.
Google Scholar

Griffing B. 1956. Concept of general and specific combining ability in relation to diallel crossing systems. Aust. J. Biol. Sci. 9: 463 — 492.
Google Scholar

Hayes P. M., Blake T., Chen T. H. H., Tragoonrung S., Chen F., Pan A., Liu B. 1993. Quantitative trait loci on barley (Hordeum vulgare L.) chromosome 7 associated with components of winterhardiness. Genome 36: 66 — 71.
Google Scholar

Hayman B. I. 1954. The theory and analysis of diallel crosses. Genetics 39: 789 — 809.
Google Scholar

Hill W. G., Avery P. J. 1978. On estimating number of genes by genotype assay. Heredity 40: 397 — 403.
Google Scholar

Jansen R. C. 1997. Mapping QTLs in experimental and breeding populations. In: Advances in biometrical genetics. (P. Krajewski, Z. Kaczmerek red.), Instytut Genetyki Roślin PAN w Poznaniu: 27 — 34.
Google Scholar

Jansen R., Nap J. P. 2001. Genetical genomics: the added value from segregation. Trends in Genetics 17: 338 — 391.
Google Scholar

Jinks J. L. 1978. Unambiguous test for linkage of genes displaying nonallelic interaction for a metrical trait. Heredity 40: 171 — 173.
Google Scholar

Jinks J. L. Perkins J. H. 1969. The detection of linked epistatic genes for a metrical trait. Heredity 24: 465 — 475.
Google Scholar

Jinks J. L., Towey P. 1976. Estimating the number of genes in a polygenic system by genotype assay. Heredity 37: 69 — 81.
Google Scholar

Kaczmarek Z., Surma M., Adamski T. 1984. Parametry genetyczne — ich interpretacja i sposoby wyznaczania. Listy Biometryczne 21: 3 — 20.
Google Scholar

Kaczmarek Z., Surma M., Adamski T. 1988. Epistatic effects in estimation of the number of genes on the basis of doubled haploid lines. Genet. Pol. 29: 253 — 259.
Google Scholar

Kaczmarek Z., Surma M., Adamski T. 1993. Szacowanie wariancji i kowariancji genetycznej linii podwojonych haploidów z uwzględnieniem współczynnika rekombinacji. Zeszyty Naukowe Akademii Rolniczej we Wrocławiu, Rolnictwo LVIII: 33 — 42.
Google Scholar

Kaczmarek Z., Surma M., Adamski T. 1994. Theoretical bases for detection of linkage of genes between two quantitative characters in the presence of nonallelic interaction. Genet. Pol. 35: 53 — 62.
Google Scholar

Kaczmarek Z., Surma M., Święcicki W. K. 1983. Wyznaczanie współczynnika odziedziczalności w wąskim sensie w aspekcie addytywno-dominującego modelu działania genów. Postępy Nauk Rolniczych 290: 23 — 41.
Google Scholar

Kaczmarek Z., Adamski T., Surma M., Leśniewska-Frątczak M. 2000. Estimation of gene effects in various environmental conditions. W: EUCARPIA Quantitative genetics and breeding methods: the way ahead (Gallais A., Dillmann C., Goldringer I., ed.), INRA, Paris: 27 — 34.
Google Scholar

Kaczmarek Z., Surma M., Adamski T., Jeżowski S., Madajeski R., Krystkowiak K., Kuczyńska A. 2002. Interaction of gene effects with environments for malting quality of barley doubled haploids. J. Appl. Genet. 43: 33 — 42.
Google Scholar

Kaczmarek Z., Surma M., Adamski T., Czajka S. 2004. Numerical method for detection of linkage between genes for two metrical traits. J. Appl. Genet. 45: 27 — 35.
Google Scholar

Kadarmideen H. N., Rohr, P. von, Janns L. L. G. 2006. From genetical genomics to system genetics: potential applications in quantitative genomics and animal breeding. Mammalian Genome 17: 548 — 564.
Google Scholar

Kasha K. J., Kao K. N. 1970. High frequency haploid production in barley (Hordeum vulgare L.). Nature 225: 874 — 876.
Google Scholar

Krajewski P., Bocianowski J. 2003. A comparison of the methods of estimation of the number of genes for quantitative traits. Listy Biometryczne — Biometrical Letters 40: 84.
Google Scholar

Krajewski P., Surma M., Kaczmarek Z., Adamski T., Jeżowski S. 2004. Genetyki ilościowa i molekularna – razem czy osobno?. W: Genetyka w ulepszaniu roślin użytkowych (P. Krajewski, Z. Zwierzykowski, P. Kachlicki, red.). Instytut Genetyki Roślin PAN w Poznaniu: 223 — 242.
Google Scholar

Lisec J., Meyer R. C., Steinfath M., Redestig H., Becher M., Witucka-Wall H., Fiehn O., Torjek O., Selbig J., Altmann T., Willmitzer L. 2008. Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations. Plant Journal 53: 960 — 972.
Google Scholar

Lübberstedt T., Zein I., Andersen J. R., Wenzel G., Krützfeldt B., Eder J., Ouzunova M., Chun S. 2005. Development and application of functional markers in maize. Euphytica 146: 101 — 108.
Google Scholar

Mackay T. F. C. 2001. The genetic architecture of quantitative traits. Ann. Rev. Genet. 35: 303 — 339.
Google Scholar

Mather K. 1949. Biometrical genetics. Methuen & Co. LTD London.
Google Scholar

Mather K., Jinks J. L. 1970. Biometrical Genetics (2nd edn.). Chapman and Hall, London.
Google Scholar

Mather K., Jinks J. L. 1982. Biometrical Genetics (3rd edn.). Chapman and Hall, London.
Google Scholar

Michaelis P. 1941. Die Vererbung. Handbuch der Pflanzenzüchtung: 99 — 140.
Google Scholar

Opsahl B. 1956. The discrimination of interactions and linkage in continuous variation. Biometrics: 415 — 432.
Google Scholar

Pea G., Ferron S., Gianfranceschi L., Krajewski P., Pe` M. E. 2008. Gene expression non-additivity in immature ears of a heterotic F1 maize hybrid. Plant Science 174: 17 — 24.
Google Scholar

Perkins J. M., Jinks J. L. 1970. Detection and estimation of genotype-environmental, linkage and epistatic components of variation for a metrical trait. Heredity 25: 157 — 177.
Google Scholar

Pillen K., Zacharias A., Leon J. 2003. Advanced backcrosses QTL analysis in barley (Hordeum vulgare L.). Theor. Appl. Genet. 107: 340 — 352.
Google Scholar

Potokina E., Druka A., Luo Z., Wise R., Waugh R., Kearsey M. 2008. Gene expression quantitative trait locus analysis of 16 000 barley genes reveals a complex pattern of genome-wide transcriptional regulation. Plant Journal 53: 90 — 101.
Google Scholar

Snape J. W. 1976. A theoretical comparison of diploised haploid and single seed descent populations. Heredity 36: 275 — 277.
Google Scholar

Snape J. W. 1997. Application of doubled haploid lines in plant breeding and genetical research: current issues and approaches. In: Advances in biometrical genetics (P. Krajewski, Z. Kaczmerek red.), Instytut Genetyki Roślin PAN w Poznaniu: 27 — 34.
Google Scholar

Snape J. W., Simpson E. 1981. The genetical expectations of doubled haploid lines derived from different filial generations. Theor. Appl. Genet. 60: 123 — 128.
Google Scholar

Snape J. W., Wright A. J., Simpson E. 1984. Methods for estimating gene numbers for quantitative characters using doubled haploid lines. Theor. Appl. Genet. 67: 143 — 148.
Google Scholar

Perkins J. H., Jinks J. L. 1970. Detection and estimation of genotype-environmental, linkage and epistatic components of variation for a metrical trait. Heredity 25: 157 — 177.
Google Scholar

Surma M. 1996. Biometryczno-genetyczna analiza cech ilościowych mieszańców i linii podwojonych haploidów jęczmienia jarego. Rozprawy i Monografie nr 3, IGR PAN, Poznań, str. 110.
Google Scholar

Surma M., Adamski T., Kaczmarek Z. 1984. The use of doubled haploid lines for estimation of genetic parameters. Genet. Pol. 25: 27 — 32.
Google Scholar

Surma M., Adamski T., Kaczmarek Z. 2001. Doubled haploids for studying the linkage of genes controlling quantitative traits. W: Quantitative Genetics and Breeding Methods: the Way Ahead (A. Gallais, C. Dillmann., I. Goldringer, eds.). INRA, Paris: 274 — 274.
Google Scholar

Surma M., Kaczmarek Z., Adamski T. 2002. A simple test for detection of linkage. J. Appl. Genet. 43: 171 — 174.
Google Scholar

Tanksley S. D. 1993. Mapping polygene’s. Annu. Rev. Genet. 27: 205 — 233.
Google Scholar

Tanksley S. D., Nelson J. C. 1996. Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor. Appl. Genet. 92: 191 — 203.
Google Scholar

Thomsberry J. M., Goodman M. M., Doebley J., Kresovich S., Nielsen D., Buckler E. S. 2001. Dwarf polymorphism associate with variation in flowering time. Nat. Genet. 28: 286 — 289.
Google Scholar

Yule G. V. 1906. On the theory of inheritance of quantitative compound characters on the basis of Mendel’s laws — a preliminary note. Rept. Third Intern. Conf. Gen. 140 — 142.
Google Scholar

Tinker N. A., Mather D.E., Rossnagel B. G., Kasha K. J., Kleinhofs A., Hayes P. M., Falk D. E., Ferguson T., Shugar L. P., Legge W. G., Irvine R. B., Choo T. M., Briggs K. G., Ullricg S. E., Franckowiak J. D., Blake T. K., Graf R. J., Dofing S. M., Saghai Maroof M. A., Scoles G. J., Hoffman D., Dahleen L. S., Kilian A., Chen F., Biyashev R. M., Kudrna D., Steffenson A. 1996. Regions of the genome that affect agronomic performance in two-row barley. Crop Sci. 36: 1053 — 1062.
Google Scholar

Użarowska A., Keller B., Piepho H. P., Schwarz G., Ingvardsen C., Wenzel G., Lübberstedt T. 2007. Comparative expression profiling in meristems of inbred-hybrid triplets of maize based on morphological investigations of heterosis for plant height. Plant Mol. Biol. 63: 21 — 34.
Google Scholar

Vuylsteke M., van Eeuwijk F., van Hummeln P., Kuiper M., Zabeau M. 2005. Genetic analysis of variation in gene expression in Arabidopsis thaliana. Genetics 171: 1267 — 1275.
Google Scholar