Sugarcane bioethanol — R&D for Productivity and Sustainability

SUGARCANE: BREEDING METHODS AND GENETIC MAPPING

Gazaffi, Rodrigo; Oliveira, Karine Miranda; Souza, Anete Pereira de; Garcia, Antonio Augusto Franco;

Resumo:

Sugarcane is a plant species of great importance for Brazilian and world agriculture, being primarily grown in tropical and subtropical regions. Its main products are sugar and ethanol, the latter presenting high economic and environmental interest because as a renewable energy source, it can compete with petroleum derivatives (Goldemberg, 2007; FAO, 2008). According to Daniels and Roach (1987), sugarcane is considered an allogamous species of the Poaceae family (Gramníneae), genus Saccharum, in which six species are generally recognized: S. officinarum L. (2n = 80), S. robustum Brandes and Jeswiet ex Grassl (2n = 60-205), S. barberi Jeswiet (2n = 81-124), S. sinense Roxb. (2n = 111-120), S. spontaneum L. (2n = 40-128), and S. edule Hassk. (2n = 60-80). S. officinarum L. stands out from the others due to its desirable industrial properties and high sucrose levels, and it is commonly called “noble cane” (Matsuoka et al., 1999a; Landell and Bressiani, 2008). However, the modern varieties correspond to interspecific hybrids with high genetic complexity because they present high ploidy and aneuploidy levels (Heinz and Tew, 1987; Matsuoka et al., 1999a; Landell and Bressiani, 2008). It is believed that, among the cultivated varieties, there is a great contribution of varying proportions of the genome of these species (Matsuoka et al., 1999b). In this context, sugarcane is considered to be the cultivated species with the highest genetic complexity (Manners et al., 2004).

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DOI: 10.5151/BlucherOA-Sugarcane-SUGARCANEBIOETHANOL_33

Referências bibliográficas
  • Al-Janabi, S. M.; Honeycutt, R. J.; McClelland, M.; Sobral, B. W. S. A genetic linkage map of Saccharum spontaneum (L.) ‘SES 208’. Genetics, v. 134, p. 1249-1260, 1993.
    Arizono, H. 1994. Métodos e critérios de seleção adotados na obtenção das variedades de cana-de-açúcar (Saccharum spp.) RB835089 e RB835486. ESALQ/USP, Diss MS. 106 p.
    Arizono, H. 1999. Efeito de misturas varietais na produtividade de cana-de-açúcar (Saccharum spp.). ESALQ/USP, Tese DR. 112 p.
    Barreneche, T.; Bodenes, C.; Lexer, C.; Trotin, J. F.; Fluch, S.; Strei, R.; Plomion, C.; Roussel, G.; Steinkellner, H.; Burg, K.; Favre, J. M.; Glossl, J.; Kremer, A. A genetic linkage map of Quercus robur L. (pendunculate oak) based on RAPD, SCAR, microsatellite, minisatellite, isozyme and 5S rDNA markers. Theoretical and Applied Genetics, 97: 1090-1103, 1998.
    Basten, C. J.; Weir, B. S.; Zeng, Z.-B. QTL Cartographer: A Reference Manual and Tutorial for QTL Mapping. Center for Quantitative Genetics, NCSU, 1999. URL statgen.ncsu.edu/qtlcart.
    Berding, N. and Roach, B. T. 1987. Germplasm collection, maintenance, and use. In: Heinz, D. J. (ed.), Sugarcane improvement through breeding. Amsterdam: Elsevier, p. 143-210.
    Berding, N. and Skinner, J.C. 1987. Traditional breeding methods. p. 269-320. In: Copersucar Int. Sugarcane Breeding Workshop. Copersucar, São Paulo.
    Blackburn, F. H. 1983. Sugarcane. Longmans, London. 414 p.
    Bidoia, M. A. P. 2008. Instalação, condução e colheita de experimentos. In: Cana-de-açúcar. Campinas: IAC. p. 821-838.
    Breaux, R. D. 1987. Breeding for enhance sucrose contente of sugarcane in Louisiania. Field Crops Res., 9: 59-67. Hogarth, D. M. 1987. Genetics of sugarcane. p. 255-271. In: Heinz, D. J. (Ed.) Sugarcane improvement through breeding. Elsevier, Amsterdam.
    Hogarth, D. M.; Bull, J. K. 1990. The implications of genotype x environment for evaluating sugarcane families. I Effect on selection. In: KANG, M. S. GE Interaction and plant breeding. Baton Rouge: Louisiana State University. p. 335-346.
    Jansen, R. C.; Stam, P. High resolution of quantitative traits into multiple loci via interval mapping. Genetics 136: 1447-1455, 1994.
    Jansen, R. C.; Nap, J. P. Genetical genomics: the added value from segregation – TRENDS in Genetics, 17: 388-391, 2001.
    Jackson, P. A.; Mcrae, T. A.; Hogarth, D. M. Selection of sugarcane families across variable environments. I. Sources of variation and an optimal selection index. Fields Crops Research 43: 109-118, 1995a.
    Jackson, P. A.; Mcrae, T. A.; Hogarth, D. M. Selection of sugarcane families across variable environments. II. Patterns of response and association with environments factors. Fields Crops Research 43: 119-130, 1995b.
    Jiang, C. J.; Zeng, Z. B. Mapping quantitative trait loci with dominant and missing markers in various crosses from two inbred lines. Genetica 101: 47-58. 1997.
    Kao, C. H.; Zeng, Z. B. General formulae for obtaining the MLEs and the asymptotic variance-covariance matrix in mapping quantitative trait loci when using the EM algorithm. Biometrics 53: 653-665, 1997.
    Kao, C. H.; Zeng, Z. B.; Teasdale, R. Multiple interval mapping for quantitative trait loci. Genetics 152: 1203-1216, 1999.
    Kido, E. A. 2003. Mapeamento de marcadores moleculares AFLP em população derivada de clones elite de cana-de-açúcar (Saccharum spp.) e suas associações com caracteres agronômicos. Tese (Doutorado em Energia na Agricultura) – CENA-Centro de Energia Nuclear na Agricultura, Universidade de São Paulo, Piracicaba. 164 p.
    Kruglyak, L. The road to genome-wide association studies. nat. rev. genet. v. 9, p. 314-318, 2008.
    Landell, M. G. A.; Alvarez, R. 1993. Cana-de-açúcar. p. 77-93. In: Furlani, A. M. C. e Viégas, G. P. (Eds.) Contribuições do Instituto Agronômico ao Melhoramento Genético Vegetal, v. 1. Instituto Agronômico, Campinas.
    Landell, M. G. A.; Bressiani, J. A. 2008. Melhoramento genético, caracterização e manejo varietal. In: Dinardo-Miranda, L. L.; Vasconcelos, A. C. M.; Landell, M. G. A. Cana-de-açúcar. Campinas: IAC. p. 101-155.
    Lander, E. S.; Green, P. Construction of multilocus genetic linkage maps in humans. Proc. Nati. Acad. Sci. 84: 2363-2367, 1987.
    Lander, E. S.; Botstein, D. Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 21: 185-199, 1989.
    Lima, M. L. A.; Garcia, A. A. F.; Oliveira, K. M.; Matsuoka, S.; Arizono, H.; Souza Jr., C. L.; Souza, A. P. 2002. Analysis of genetic similarity detected by AFLP and coefficient of parentage among genotypes of sugarcane (Saccharum spp.). Theor. Appl. Genet. 104: 30–38.
    Lin, M.; Lou, X.-Y.; Chang, M.; Wu, R. A general statistical framework for mapping quantitative trait loci in nonmodel systems: issue for characterizing linkage phases. Genetics 165: 901-913, 2003.
    Luo, Z. W.; Hackett, C. A.; Bradshaw, J. E.; McNicol, J. W.; Milbourne, D. Construction of a genetic linkage map in tetraploid species using molecular markers, 157:1369-1385, 2001.
    Luo, Z. W.; Zhang, R. M.; Kearsey, M. J.; Theoritical basis for linkage analysis in autotetraploid species. PNAS, 101: 7040-7045, 2004.
    Lynch, M.; Walsh, B. 1998. Genetics and Analysis of Quantitative Traits. Sunderland: Sinauer Associates, Inc. 980 p.
    Machado Jr., G. R. 1993. O Programa de Melhoramento Copersucar em 1993. In: Arévalo, R. A. (Ed.) Reunião Técnica de Variedades de Cana-de-açúcar. Piracicaba. 12 p.
    Machado Jr., G. R.; Silva, W. M.; Irvine, J. E. 1987. ����Sugarcane breeding in Brazil: the Copersucar program. p. 217-232. In: Copersucar Int. Sugarcane Breeding Workshop. Copersucar, São Paulo.
    Mackay, T. F. C. The Genetic Architecture of Quantitative Traits. Annual Reviews in Genetics 35: 303-339, 2001
    Maliepaard, C.; Jansen, J.; van Ooijen, J. W. Linkage analysis in a full-sib family of an outbreeding plant species: Overview and consequences for applications. Genetical Research 70: 237-250, 1997.
    Mangelsdorf, A. J. Sugarcane breeding in Hawaii. Part II – 1921-1952. Hawaii. Plant. Rec. 54: 101-137, 1953.
    Manners, J.; McIntyre, L.; Casu, R.; Cordeiro, G.; Jackson, M.; Aitken, K.; Jackson, P.; Bonnet, G.; Lee, S.; Henry, R. Can genomics revolutionise genetics and breeding in sugarcane? In: New directions for a diverse planet: Proceedings of the 4th International Crop Science Congress. 2004. Available at: Andlt;http://www.cropscience.org.au/icsc2004/poster/3/1/1793_mannersj.htmAndgt;.
    Margarido, G. R. A.; Souza, A. P.; Garcia, A. A. F. OneMap: software for genetic mapping in outcrossing species. Hereditas 144: 78-79, 2007.
    Matsuoka, S.; Arizono, H. Avaliação de variedades pela capacidade de produção de biomassa e pelo valor energético. Anais Cong. Nac. STAB, 4: 220-225, 1987.  Matsuoka, S. O programa de variedades de cana-de-açúcar do PLANALSUCAR. Brasil açúcar 106(1):3-10, 1988.
    Matsuoka, S.; Garcia, A. A. F.; Arizono, H. 1999a. Melhoramento da Cana-de-açúcar. In: A Borém. (Org.). Melhoramento de Espécies Cultivadas. Viçosa: Editora da Universidade Federal de Viçosa, v. 1, p. 205-252.
    Matsuoka, S.; Garcia, A. A. F.; Calheiros, G. C. 1999b. Hibridação em Cana-de-açúcar. In: A Borém. (Org.). Hibridação Artificial de Plantas. Viçosa: Editora da Universidade Federal de Viçosa, v. II, p. 221-256.
    Ming, R.; Liu, S. C.; Moore, P. H.; Irvine, J. E.; Paterson, A. H. QTL Analysis in a complex autopolyploid: genetic control of sugar content in sugarcane. Genome Research 11: 2075-2084, 2001.
    Ming, R.; Wang, Y. W.; Draye, X.; Moore, P. H.; Irvine, J. E.; Paterson, A. H. Molecular dissection of complex traits in autopolyploids: mapping QTL’s affecting sugar yield and related traits in sugarcane. Theoretical and Applied Genetics 105: 332-345, 2002.
    Mohan et al. Genome mapping, molecular markers and markers-assisted selection in crop plants. Molecular Breeding 3: 87-103, 1997.
    Morgante, M.; Salamini, F. 2003. From plant genomics to breeding practice, Current Opinion in Biotechnology 14: 214-219.
    Oliveira, K. M.; Pinto, L. R.; Marconi, T. G.; Margarido, G. R. A.; Pastina, M. M.; Teixeira, L. H. M.; Figueira, A. V.; Ulian, E. C.; Garcia, A. A. F.; Souza, A. P. 2007. Functional integrated genetic linkage map based on EST-markers for a sugarcane (Saccharum spp.) commercial cross. Molecular Breeding 21: 1-20.
    Pastina, M. M. (2010) A mixed model QTL analysis for sugrcane multiple-harvest location trial data. Tese Doutorado, ESALQ/USP. 89 p.
    Peixoto, T. C. 1986. Estudo complementar ao melhoramento genético da cana-de-açúcar (Saccharum spp.). Tese Dr., ESALQ/USP, Piracicaba. 119 p.
    Pires, C. E. L. S. 1993. Diversidade genética de variedades de cana-de-açúcar (Saccharum spp.) cultivadas no Brasil. Tese Dr., ESALQ/USP, Piracicaba. 120 p.
    Porceddu, A.; Albertini, E.; Barcaccia, G.; Falistorco, E.; Falcinelli, M. Linkage mapping in apomictic and sexual kentucky blue grass (Poa pratensis L) genotypes using a two way pseudotestcross strategy based on AFLP and SAMPL markers. Theoretical and Applied Genetics 104: 273-280, 2002.
    Ripol, M. I.; Churchill, G. A.; da Silva, J. A. G.; Sorrells, M. Statistical aspects of genetic mapping in autopolyploids. Gene 235: 31-41, 1999.
    Schadt, E. E.; Monks, S. A.; Drake, T. A.; Lusis, A. J.; Che, N.; Colinayo, V.; Ruff, T. G.; Milligan, S. B.; Lamb, J. R.; Cavet, G.; Linsley, P. S; Mao, M.; Stoughton, R. B.; Friend, S. H. Genetics of gene expression surveyed in maize, mouse and man. Nature 422: 297-302, 2003.
    Salvi, S. Tuberosa, R. To clone or not to clone plant QTLs: present and future challenges. Trends in Plant Science, v. 10, n. 6, 297-304, 2005.
    Shepherd, M.; Cross, M.; Dieters, M. J.; Henry, R. Genetic maps for Pinus elliottii var hondurensis using AFLP and microsatellite markers. Theoretical and Applied Genetics 106: 1409–1419, 2003.
    Skinner, J. C.; Hogarth, D. M.; Wu, K. K. 1987. Selection methods, criteria, and indices. p. 409-453. In: Heinz, D. J. (Ed.) Sugarcane improvement through breeding. Elsevier, Amsterdam.
    Sobral, B. W. S.; Honeycutt, R. J. High output genetic mapping of polyploids using PCR-generated markers. Theoretical and Applied Genetics 86: 105-112, 1993.
    Souza, A. P. Biologia molecular aplicada ao melhoramento. In: Nass, L. L.; Valois, A. C. C.; Mello, I. S.; Valadares-Inglis, M. C. (Ed.). 2001. Recursos genéticos e melhoramento de plantas. Rondonópolis: Fundação MT, p. 939-965.
    Stevenson, G. C. 1965. Genetics and breeding of sugarcane. Longmans, London. 284 p.
    Stuber, C. W.; Edwards, M. D.; Wendel, J. F. Molecular-marker-facilitated investigations of quantitative trait loci in maize. II. Factors influencing yield and its component traits. Crop Science 27: 639-648, 1987.
    Takeda, S.; Matsuoka, M. Genetic approaches to crop improvement: responding to environmental and population changes, Nature Reviews Genetics 9: 444-457, 2008.
    Tew, T. L. 1987. New varieties. p. 559-594. In: Heinz, D. J. (Ed.). Sugarcane improvement through breeding. Amsterdam, Elsevier.
    Visscher, P. M.; Hill, W. G.; Wray, N. R. Heritability in the genomics era – concepts and misconceptions. Nature Reviews Genetics 9: 255-266, 2008.
    Weller, J. I. Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers. Biometrics 42: 627-640, 1986.
    Wu, S. S.; Wu, R.; Ma, C. X.; Zeng, Z. B.; Yang, M. C. K.; Casella, G. A multivalent pairing model of linkage analysis in autotetraploids. Genetics, v. 159, p.1339-1350, 2001.
    Wu, R.; Ma, C. X.; Painter, I..; Zeng, Z.-B. Simultaneous maximum likelihood estimation of linkage and linkage phases in outcrossing species. Theoretical Population Biology 61: 349-363, 2002a.
    Wu, R.; Ma, C. X.; Wu, S. S.; Zeng, Z. B. Linkage mapping of sex-specific differences, Genetical Research 79: 85-96, 2002b.  Wu, R.; Ma, C. X.; Casella, G. A bivalent polyploid model for mapping quantitative trait loci in outcrossing tetraploids. Genetics, 166, 581-595. 2004.
    Zeng, Z.-B. Theoretical basis of separation of multiple linked gene effects on mapping quantitative trait loci. Proceedings of the National Academy of Science USA 90: 10972-10976, 1993.
    Zeng, Z.-B. Precision mapping of quantitative trait loci. Genetics 136: 1457-1468, 1994.
    Zeng, Z.-B. 2001. Statistical methods for mapping Quantitative Trait Loci. Department of Statistics, North Carolina State University, Raleigh, NC. Publicação didática. 128 p.
    Zeng, Z.-B.; Kao, C.-H.; Basten, C. J. Estimating the genetic architecture of quantitative traits. Genetical Research 74: 279-289, 1999.
    Zhu, J.; Lum, P. Y.; Lam, J.; Guhathakurta, D.; Edwards, S. W.; Thieringer, R.; Berger, J. P.; Wu, M. S.; Thompson, J.; Sachs, A. B.; Schadt, E. E. An integrative genomics approach to the reconstruction of gene networks in segregating populations. Cytogenetic and genome research 105 (2-4) p. 363-74, 2004.
Como citar:

GAZAFFI, Rodrigo; OLIVEIRA, Karine Miranda; SOUZA, Anete Pereira de; GARCIA, Antonio Augusto Franco; "SUGARCANE: BREEDING METHODS AND GENETIC MAPPING", p. 333 -344. In: Sugarcane bioethanol — R&D for Productivity and Sustainability. São Paulo: Blucher, .
ISBN: 978-85-212-0822-8, DOI 10.5151/BlucherOA-Sugarcane-SUGARCANEBIOETHANOL_33