Advertisement

Bridging Classical and Molecular Genetics of Cotton Fiber Quality and Development

  • Peng W. Chee
  • B. Todd Campbell
Chapter
Part of the Plant Genetics and Genomics: Crops and Models book series (PGG, volume 3)

Abstract

Cotton is the single most important natural fiber in the world and represents a vital agricultural commodity in the global economy. Ninety percent of cotton’s value resides in the lint fiber. Cotton fiber quality, defined by the physical properties of the lint fibers, is an important part of the cotton manufacturing process from field harvest through ginning and textile manufacturing and is reflected in the end product. The primary fiber properties affecting textile manufacturing and end product quality include fiber length and uniformity, strength, elongation, fineness, and maturity. Numerous techniques and tools to measure these fiber properties have been developed during the last 100 years. Classical quantitative genetics research methods have determined the heritability, components of genetic variance, environmental interactions, and correlations of fiber properties among one another and with fiber yield. In response to the advances made in fiber processing and manufacturing over the course of the 20th and 21st centuries, classical plant breeding based on phenotypic selection has improved fiber quality while also increasing fiber yields. At the same time, intensive phenotypic selection programs have resulted in decreased levels of genetic diversity within the primary gene pool of Upland cotton. Classical plant breeding programs have faced challenges and difficulties transferring new, stably inherited allelic variation from inter-specific hybridization. However, the last 15 years have witnessed an explosion of efforts to utilize molecular biology tools to study the structure, function, and evolutionary relationships of the cotton genome. Much of the first 15 years of molecular genetic research into cotton fiber quality has been devoted to developing core infrastructure including polymorphic DNA markers, discrete genetic mapping populations, and extensive nuclear genetic linkage maps. This activity has provided insight into the location, effects, and complexity of the quantitative trait loci (QTL) associated with fiber properties. A fascinating story is being written from the advances being made by combining classical and molecular genetics to explore fiber quality. Although fiber properties are affected by a large number of small effect QTLs, molecular research has also demonstrated that a large percentage of the loci controlling fiber quality properties are present in “gene islands” that are non-randomly distributed across the A- and D-genomes. The next 15 years of molecular genetic research will undoubtedly provide a clearer picture of the genetic basis of cotton fiber quality and the functions of genes controlling various fiber properties. Future research efforts that combine the power of molecular genetics with the knowledge and experience accrued by classical plant breeding will provide portable and inexpensive DNA markers that can be used by plant breeders to select and develop the next generation of high fiber quality cotton cultivars.

Keywords

Quantitative Trait Locus Fiber Length Fiber Strength Fiber Quality Phenotypic Selection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. American Society for Testing and Materials (1993) Standard test method for linear density and maturity index of cotton fibers (IIC-Shirley fineness/maturity tester). ASTM D3818–92.Google Scholar
  2. Anderson, J.A., Liu, S., and Cho S. (2007) Molecular breeding using a major QTL for fusarium head blight resistance in wheat. Crop Sci. 47(S3): 113–119.Google Scholar
  3. Backe, E.E. (1996) The importance of cotton fiber elongation on yarn quality and weaving performance, In C. Chewning, ed. Proceedings of the 9th annual Engineered Fiber Selection System Conference. Cotton Incorporated, Raleigh, NC.Google Scholar
  4. Baenziger, P.S., Russell, W.K., Graef, G.L., and Campbell, B.T. (2006) Improving Lives: 50 Years of Crop Breeding, Genetics, and Cytology (C-1). Crop Sci 46: 2230–2244.CrossRefGoogle Scholar
  5. Bassett, D.M., and Hyer, A.H. (1985) Acala cotton in California: 60 years of varietal improvement. In Proc. Beltwide Cotton Prod. Res. Conf., New Orleans, LA. Natl. Cotton Counc. Am., Memphis, TN. p. 76.Google Scholar
  6. Beavis, D. (1994) The power and deceit of QTL experiments: lessons from comparative QTL studies. In: Proceedings of the 49th annual corn and sorghum industry research conference. Washington, DC: American Seed Trade Association, 250–266.Google Scholar
  7. Behery, H.M. (1993) Short fiber content and uniformity index in cotton. In: International Cotton Advisory Committee Review Article No. 4, CAB International, Wallingford, UK.Google Scholar
  8. Benzina, H., Hequet, E. Abidi, N. Gannaway, J. Drean, J.Y., and Harzallah, O. (2007) Using fiber elongation to improve genetic screening in cotton breeding programs. Textile Research 77: 770–778.CrossRefGoogle Scholar
  9. Bernacchi, D., Beck-Bunn, T., Emmatty, D., Eshed, Y., Inai, S., Lopez, J., Petiard, V., Sayama, H., Uhlig, J., Zamir, D. and Tanksley, S.D. (1998) Advanced backcross QTL analysis of tomato. II. Evaluation of near isogenic lines carrying single-donor introgressions for desirable wild QTL-alleles derived from Lycopersicon hirsutum and L. pimpinellifolium. Theor. Appl. Genet. 97: 170–180.CrossRefGoogle Scholar
  10. Bernardo, R. and Yu, J. (2007) Prospects for genome wide selection for quantitative traits in maize. Crop Sci. 2007 47: 1082–1090.CrossRefGoogle Scholar
  11. Bohn, M., Groh, S., Khariallah, M.M., Hoisington, D.A., Utz, H.F., and Melchinger, A.E. (2001) Re-evaluation of the prospects of marker-assisted selection for improving insect resistance to Diatraea spp. in tropical maize by cross validation and independent validation. Theor. Appl. Genet. 103: 1059–1067.CrossRefGoogle Scholar
  12. Bowman, D.T. (2000) Attributes of public and private cotton breeding germplasm. J. Cotton Sci. 4: 130–136.Google Scholar
  13. Bowman, D.T., May, O.L., and Calhoun, D.S. (1996) Genetic base of upland cotton cultivars released between 1970 and 1990. Crop Sci. 36: 577–581.CrossRefGoogle Scholar
  14. Bradow, J. and Davidonis, G. (2000) Quantification of Fibre Quality and the Cotton Production-Processing Interface. J. Cotton Sci. 4: 34–64.Google Scholar
  15. Bridge, R.R., and Meredith, W.R. (1983) Comparative performance of obsolete and current cotton cultivars. Crop Sci. 23: 949–952.CrossRefGoogle Scholar
  16. Bridge, R.R., Meredith, W.R., and Chism, J.F. (1971) Comparative performance of obsolete varieties and current varieties of upland cotton. Crop Sci. 11:29–32.CrossRefGoogle Scholar
  17. Brubaker, C.L., Paterson, A.H., and Endel, J.F. (1999) Comparative genetic mapping of allotetraploid cotton and its diploid progenitors. Genome 42: 184–203.CrossRefGoogle Scholar
  18. Brubaker, C.L., and Wendel, J.F. (1994) Reevaluating the origin of domesticated cotton (Gossypium hirsutum; Malvaceae) using nuclear Restriction-Fragment-Length-Polymorphisms (RFLPs). Am. J. Bot. 81: 1309–1326.CrossRefGoogle Scholar
  19. Cai, C.P., Guo, W.Z., Wang, C.B., Han, Z.G., Song, X.L., Wang, K., Niu, X.W., Wang, C., Lu, K.Y., Shi, B., and T.Z., Zhang. (2007) A microsatellite-based, gene-rich linkage map reveals genome structure, function and evolution in Gossypium. Genetics 176: 527–541.PubMedCrossRefGoogle Scholar
  20. Campbell, B.T., and Jones, M.A. (2005) Assessment of genotype × environment interactions for yield and fiber quality in cotton performance trials. Euphytica 144: 69–78.CrossRefGoogle Scholar
  21. Campbell, B.T., Bowman, D.T., and Weaver, D.B. (2008) Heterotic effects in top crosses of modern and obsolete cotton cultivars. Crop Sci. 48: 593–600.CrossRefGoogle Scholar
  22. Cheatham, C.L., Jenkins, J.N., McCarty, J.C., Watson, C.E., and Wu, J. (2003) Genetic variances and combining ability of crosses of American cultivars, Australian cultivars, and wild cottons. J. Cotton Sci. 7: 16–22.Google Scholar
  23. Chee, P., Draye, X., Jiang, C., Decanini, L., Delmonte, T., Bredhauer, R., Smith, C.W., and Paterson, A.H. (2005a) Molecular dissection of phenotypic variation between Gossypium hirsutum and G. barbadense (cotton) by a backcross-self approach. III. Fiber Length. Theor. Appl. Genet. 111: 772–781.Google Scholar
  24. Chee, P., Draye, X., Jiang, C., Decanini, L., Delmonte, T., Bredhauer, R., Smith, C.W., and Paterson, A.H. (2005b) Molecular dissection of phenotypic variation between Gossypium hirsutum and G. barbadense (cotton) by a backcross-self approach: I Fiber Elongation. Theor. Appl. Genet. 111: 757–763.Google Scholar
  25. Culp, T.W., and Green, C.C. (1992) Performance of obsolete and current cultivars and Pee Dee germplasm lines of cotton. Crop Sci. 32: 35–41.CrossRefGoogle Scholar
  26. Culp, T.W., Harrell, D.C., and Kerr, T. (1979) Some genetic implications in the transfer of high strength genes to upland cotton. Crop Sci. 19: 481–484.CrossRefGoogle Scholar
  27. Culp, T.W., and Harrell, D.C. (1980) Registration of medium staple cotton germplasm. Crop Sci. 20: 290.CrossRefGoogle Scholar
  28. Deussen, H. (1992) Improved cotton fiber properties – The textile industry’s key to success in global competition. In: C.R. Benedict and G.M. Jividen (Eds.), Proceedings from Cotton Fiber Cellulose: Structure, Function and Utilization Conference, Natl. Cotton Counc. Am., Memphis, TN. pp. 43–63.Google Scholar
  29. Draye, X., P. Chee, C. Jiang, L. Decanini, T. Delmonte, R. Bredhauer, C.W. Smith, and A.H. Paterson. (2005). Molecular dissection ofphenotypic variation between Gossypium hirsutum and G. barbadense (cotton) by a backcross-self approach. II Fiber Fineness. Theor. Appl. Genet. 111: 764–771.PubMedCrossRefGoogle Scholar
  30. Frelichowski, J.E., Palmer, M.B., Main, D., Tomkins, R., Cantrell, C. and Ulloa, M. (2006) Cotton genome mapping with new microsatellites from Acala ‘Maxxa’ BAC-ends. Mol. Gen. Gen. 275: 479–491.Google Scholar
  31. Green, C.C., and Culp, T.W. (1990) Simultaneous improvement of yield, fiber quality, and yarn strength in Upland cotton. Crop Sci. 30: 66–69.CrossRefGoogle Scholar
  32. Groh, S., Gonsalez-de-leon, D., Khairallah, M.M., Jiang, C., Bergvinson, D., Bohn, M., Hoisingtio, D.A., and Melchinger, A.E. (1988) QTL mapping in tropical maize:III. Genomic regions for resistance to Diatraea spp. and associated traits in two RIL populations Crop Sci. 38: 1062–0172.Google Scholar
  33. He, D.H., Lin, Z.X., Zhang, X.L., Nie, Y.C., Guo, X.P., and Zhang, Y.X. (2007) QTL mapping for economic traits based on a dense genetic map of cotton with PCR-based markers using the interspecific cross of Gossypium hirsutum × G. barbadense. Euphytica 153: 181–197.CrossRefGoogle Scholar
  34. Hertel, K.L. (1940) A method of fibre-length analysis using the fibrograph. Textile Research 10: 510–525.CrossRefGoogle Scholar
  35. Hertel, K.L. (1953) The Stelometer, it measures fiber strength and elongation. Textile World 103: 97–260.Google Scholar
  36. Hertel, K.L., and Craven, C.J. (1951) Cotton fineness and immaturity as measured by the Arealometer. Textile Research Journal 21: 765–774.CrossRefGoogle Scholar
  37. Hequet, E., and Wyatt, B. (2001) Relationship among image analysis on cotton fiber cross sections, AFIS measurements and yarn quality. In: Proceedings Beltwide Cotton Research Conference. National Cotton Council of America, Memphis, TN. pp. 1294–1298.Google Scholar
  38. Hoskinson, P.E., and Stewart, J.M. (1977) Field performance of two obsolete cotton cultivars. In: Proceedings Beltwide Cotton Research Conference. Natl. Cotton Counc. Am., Memphis, TN. pp. 78–79.Google Scholar
  39. Hospital, F., Moreau, L. Lacoudre, F. Charcosset, A., and Gallais, A. (1997) More on the efficiency of marker-assisted selection. Theor. Appl. Genet. 95: 1181–1189.CrossRefGoogle Scholar
  40. ICAC (International Cotton Advisory Committee). (2005) The Outlook for Cotton Supply in 2005/06. Washington, DC: Secretariat of the International Cotton Advisory Committee.Google Scholar
  41. Jiang C.X., Wright, R.J., El-Zik, K.M. and Paterson, A.H., (1998) Polyploid formation created unique avenues for response to selection in Gossypium (cotton). Proc. Natl. Acad. Sci. USA 95: 4419–4424.CrossRefGoogle Scholar
  42. Johnson, B. (1952) Use and application of fiber and spinning tests. Natl. Cotton Counc. Am., Memphis, TN.Google Scholar
  43. Kloth, R.H. (1998) Analysis of commonality for traits of cotton fiber. J. Cotton Sci. 2: 17–22.Google Scholar
  44. Knapp, S.J., and Bridges, W.C. (1990) Using molecular markers to estimate quantitative trait locus parameters: Power and genetic variances for unreplicated and replicated progeny. Genetics 126: 769–777.PubMedGoogle Scholar
  45. Knott, S. A. and Haley, C. S. (1992) Maximum likelihood mapping of quantitative trait loci using full-sib families. Genetics 132: 1211–1222.PubMedGoogle Scholar
  46. Kohel, R.J., Quisenberry, J.E., Cartwright, G., and Yu, J. (2000) Linkage analysis of transgenes inserted into cotton via Agrobacterium tumefaciens transformation. J. Cotton Sci. 4: 65–69.Google Scholar
  47. Kohel, R.J., Yu, J., Park, Y.H., and Lazo, G. R. (2001) Molecular mapping and characterization of traits controlling fiber quality in cotton. Euphytica 121: 163–172.CrossRefGoogle Scholar
  48. Lacape J.M., Nguyen, T.B., Courtois, B., Belot, J.L., Giband, M., Gourlot, J.P., Gawryziak, G., Roques, S., and Hau, B. (2005) QTL analysis of cotton fiber quality using multiple G. hirsutum x G. barbadense backcross generations. Crop Sci. 45: 123–140.Google Scholar
  49. Lander, E.S., and Botstein, D. (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121: 185–199.PubMedGoogle Scholar
  50. Lin, Z., He, D., Zhang, X., Nie, Y., Guo, X., Feng, C., and Stewart, J. McD. (2005) Linkage map construction and mapping QTL for cotton fiber quality using SRAP, SSR and RAPD. Plant Breed. 124: 180–187.CrossRefGoogle Scholar
  51. May, L. (2000) Genetic variation in fiber quality. In A. S. Basra (Ed.), Cotton fibers, development biology, quality improvement and textile processing. Food Products Press, New York. pp. 183–230.Google Scholar
  52. May, O.L., and Green, C.C. (1994) Genetic variation for fiber traits in elite Pee Dee cotton populations. Crop Sci. 34: 684–690.CrossRefGoogle Scholar
  53. May, O.L., and Taylor, R.A. (1998) Breeding cottons with higher yarn tenacity. Textile Res. 68: 302–307.CrossRefGoogle Scholar
  54. McCarty, J.C., Jenkins, J.N., and Wu, J. (2004) Primitive Accession Derived Germplasm by Cultivar Crosses as Sources for Cotton Improvement: I. Phenotypic Values and Variance Components. Crop Sci. 44: 1226–1230.CrossRefGoogle Scholar
  55. Mei, M., Syed, N.H., Gao, W., Thaxton, P.M., Smith, C.W., Stelly, D.M., and Chen, Z.J. (2004) Genetic mapping and QTL analysis of fiber related traits in cotton (Gossypium). Theor. Appl. Genet. 108: 280–291.PubMedCrossRefGoogle Scholar
  56. Melchinger, A.E., Utz, H.F., and Schon, C.C. (1998) Quantitative trait locus mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimating effects. Genetics 39: 546–557.Google Scholar
  57. Meredith, W.R. (1984a) Genotype x environment interactions. In: Kohel J.K. and Lewis, C.F., (Eds.), Cotton. Vol. 24. Amer. Soc. Agr., Madison. pp. 138–141.Google Scholar
  58. Meredith WR (1994b) Genetics and management factors influencing textile fiber quality. In: Chewing C (Ed.) Proc 7th Ann Cotton Incorporated Engineered Fiber Selection System Res. Forum, Cotton Incorporated, Raleigh, N.C., pp 256–261.Google Scholar
  59. Meredith, W.R. Jr. (1991) Associations of maturity and perimeter with micronaire. In J. M. Brown, ed. Proceedings of the Beltwide Cotton Conference. Natl. Cotton Counc. Am., Memphis, TN. pp. 569.Google Scholar
  60. Meredith, W.R. Jr. (2005) Minimum Number of Genes Controlling Cotton Fiber Strength in a Backcross Population. Crop Sci. 45: 1114–1119.CrossRefGoogle Scholar
  61. Meredith, W.R., and Brown, J.S. (1998) Heterosis and combining ability of cottons originating from different regions of the United States. J. Cotton Sci. 2: 77–84.Google Scholar
  62. Meredith, W.R. Jr. (1990) Yield and fi ber quality potential for second-generation cotton hybrids. Crop Sci. 30: 1045–1048.CrossRefGoogle Scholar
  63. Meredith, W.R. Jr. (1992) Improving fiber strength throughgenetics and breeding. In C.R. Benedict (ed.) Proc. Cotton Fiber Cellulose: Structure Function and Utilization Conf., Savannah, GA. Natl. Cotton Council Am., Memphis, TN. pp. 289–302.Google Scholar
  64. Meredith, W.R. Jr. (1996) Agronomic Factors and Yield Variability. Proc. Natl. Cotton Counc. Beltwide Cotton Conferences. Nashville, TN, pp. 180–184.Google Scholar
  65. Monforte, A.J., and Tanksley, S.D. (2000) Fine mapping of a quantitative trait locus (QTL) from Lycopersicon hirsutum chromosome1 affecting fruit characteristics and agronomic traits: Breaking linkage among QTLs affecting different traits and dissection of heterosis for yield. Theor. Appl. Genet. 100: 471–479.CrossRefGoogle Scholar
  66. Nguyen, T.B., Giband, M., Brottier, P., Risterucci, A.M., and Lacape, J.M. (2004) Wide coverage of the tetraploid cotton genome using newly developed microsatellite markers. Theor. Appl. Genet. 109: 167–175.PubMedCrossRefGoogle Scholar
  67. Park, Y.H., Alabady, M.S., Ulloa, M., Sickler, B., Wilkins, T.A., Yu, J., Stelly, D.M., Kohel, R.J., El-Shihy, O.M., and Cantrell, R.G. (2005) Genetic mapping of new cotton fiber loci using EST-derived microsatellites in an interspecific recombinant inbred (RIL) cotton population. Mol. Genet. Gen. 274: 428–441.Google Scholar
  68. Paterson, A.H., Lander, E.S., Hewitt, J.D., Peterson, S. Lincoln, S.E, and Tanksley, S.D. (1998) Resolution of quantitative traits into Mendelian factors using a complete linkage map of restriction fragment length polymorphisms. Nature 335: 721–726.CrossRefGoogle Scholar
  69. Paterson, A.H., Boman, R.K., Brown, S.M., Chee, P.W., Gannaway, J.R., Gingle, A.R., May, O.L., and Smith, C.W. (2004) Reducing the genetic vulnerability of cotton. Crop Sci. 44: 1900–1901.CrossRefGoogle Scholar
  70. Paterson, A.H., Saranga, Y., Menz, M., Jiang, C.X., and Wright, R.J. (2003) QTL analysis of genotype x environment interaction affecting cotton fiber quality. Theor. Appl. Genet. 106: 384–396.PubMedGoogle Scholar
  71. Pillay, M., and Myers, G.O. (1999) Genetic diversity in cotton assessed by variation in ribosomal RNA genes and AFLP markers. Crop Sci. 39: 1881–1887.CrossRefGoogle Scholar
  72. Pressley, E.H. (1942) A cotton fiber strength tester. American Society for Testing and Materials Bulletin 118: 13–17.Google Scholar
  73. Qian, S.Y., Huang, J.Q., Peng, Y.J., Zhou, B.L., Ying, M.C., Shen, D.Z., Liu, G.L., Hu, T.X., Xu, Y.J., Gu, L.M., Ni, W.C., and Chen, S. (1992) Studies on the hybrid of G. hirsutum L. and G.anomalum Wawr. & Peyr. and application in breeding (in Chinese). Sci. Agric. Sinica 25: 44–51.Google Scholar
  74. Ren, H.L., Guo, W.Z., and Zhang, T.Z. (2002) Identificationof quantitative trait loci (QTLs) affecting yield and fiber properties in chromosome 16 in cotton using substitution line. Acta Botanica Sinica 44: 815–820.Google Scholar
  75. Robinson, A.F., Bell, A.A., Dighe, N.D., Menz, M.A., Nichols, R.L., and Stelly, D.M. (2007) Introgression of resistance to nematode Rotylenchulus reniformis into Upland Cotton (Gossypium hirsutum) from Gossypium longicalyx. Crop Sci. 47: 1865–1877.CrossRefGoogle Scholar
  76. Rong, J., Wright, R.J., Saranga, Y., May, O.L., Wilkins, T.A., Draye, X., Waghmare, V.N., Feltus, F.A., Chee, P.W., Pierce, G.J., and Paterson, A.H. (2007) Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development. Genetics 176: 2577–2588.PubMedCrossRefGoogle Scholar
  77. Rong, J., Abbey, C., Bowers, J.E., Brubaker, C.L., Chang, C., Chee, P.W., Delmonte, T.A., Ding, X., Garza, J.J., Marler, B.S., Park, C., Pierce, G.J., Rainey, K.M., Rastogi, V.K., Schulze, S.R., Trolinder, N.L., Wendel, J.F., Wilkins, T.A., Williams-Coplin, D., Wing, R.A., Wright, R.J., Zhao, X., Zhu, L., and Paterson, A.H. (2004) A 3347-locus genetic recombination map of sequence-tagged sites reveals features of genome organization, transmission and evolution of cotton (Gossypium). Genetics 166: 389–417.PubMedCrossRefGoogle Scholar
  78. Saha, S., Jenkins, J.N., Wu, J., McCarty, J.C., Gutierrez, O.A., Percy, R.G., Cantrell, R.G. and Stelly, D.M. (2006) Effects of chromosome-specific introgression in Upland cotton on fiber and agronomic traits. Genetics 172: 1927–1938.PubMedCrossRefGoogle Scholar
  79. Saranga, Y., Menz, M., Jiang, C., Wright, R., Yakir, D., and Paterson, A. H. (2001) Genomic dissection of genotype x environment adaptation conferring adaptation of cotton to arid conditions. Genome Res. 11: 1988–1995.PubMedCrossRefGoogle Scholar
  80. Shen, X.L., Guo. W.Z., Zhu, X.F., Yuan, Y.L., Yu, J.Z., Kohel, R.J., and Zhang, T.Z. (2005) Molecular mapping of QTLs for fiber qualities in three diverse lines in Upland cotton using SSR markers. Mol. Breed. 15: 169–181.CrossRefGoogle Scholar
  81. Shen, X., Guo, W., Lu, Q., Zhu, X., Yuan, Y., and Zhang, T. (2007) Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton. Euphytica 155: 371–380.CrossRefGoogle Scholar
  82. Shen, X.L., Zhang, T.Z., Guo, W.Z., Zhu, X.F., and Zhang, X.Y. (2006) Mapping Fiber and Yield QTLs with Main, Epistatic, and QTL by Environment Interaction Effects in Recombinant Inbred Lines of Upland Cotton. Crop Sci. 46: 61–66.CrossRefGoogle Scholar
  83. Smith, C.W., and Coyle, G.G. (1997) Combining ability for within-boll yield components in cotton, Gossypium hirsutum L. Crop Sci. 37: 1118–1122.CrossRefGoogle Scholar
  84. Tang, B., Jenkins, J.N., McCarty, J.C., and Watson, C.E. (1993) F2 hybrids of host plant germplasm and cotton cultivars. II. Heterosis and combining ability for fiber properties. Crop Sci. 33: 706–710.CrossRefGoogle Scholar
  85. Tang, B., J.N. Jenkins, McCarty, J.C., and Watson, C.E. (1997) Evaluation of genetic variances, heritability, and correlations for yield and fiber properties among cotton F2 hybrids. Euphytica 91: 315–322.CrossRefGoogle Scholar
  86. Tanksley, S.D., and 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.CrossRefGoogle Scholar
  87. Tanksley, S.D. (1993) Mapping polygenes. Annu. Rev. Genet. 27: 205–233.PubMedCrossRefGoogle Scholar
  88. Ulloa, M., and Meredith, W.R.Jr. (2000) Genetic linkage map and QTL analysis of agronomic and fiber quality traits in an intraspecific population. J. Cotton Sci. 4: 161–170.Google Scholar
  89. Ulloa, M., Saha, S., Jenkins, J.N., Meredith, W.R. Jr., McCarty, J.C. Jr., and Stelly, D.M. (2005) Chromosomal assignment of RFLP linkage groups harboring important QTLs on an intraspecific cotton (Gossypium hirsutum L.) Joinmap. J. Hered. 96: 132–144.PubMedCrossRefGoogle Scholar
  90. Van Becelaere, G., Lubbers, E.L., Paterson, A.H., and Chee, P.W. (2005) Pedigree vs. RFLP based genetic similarity estimates in cotton. Crop Sci. 45: 2281–2287.CrossRefGoogle Scholar
  91. Van Berloo, R.V., and Stam, P. (1999) Comparison between marker-assisted selection and phenotypical selection in a set of Arabidopsis thaliana recombinant inbred lines. Theor. Appl. Genet. 98: 113–118.CrossRefGoogle Scholar
  92. Van Esbroeck, G., Bowman, D.T., Calhoun, D.S., and May, O.L. (1998) Changes in the genetic diversity of cotton in the USA from 1970 to 1995. Crop Sci. 38: 33–37.CrossRefGoogle Scholar
  93. Wang, B.H., Guo, W.Z., Zhu, X.F., Wu, Y.T., Huang, N.T., and Zhang, T.Z. (2006) QTL mapping of fiber quality in an elite hybrid derived-RIL population of upland cotton. Euphytica 152: 367–378.CrossRefGoogle Scholar
  94. Wendel, J.F., and Cronn, R.C. (2003) Polyploidy and the evolutionary history of cotton. Advances in Agronomy 78: 139–186.CrossRefGoogle Scholar
  95. Wilson, .FD., and Wilson, R.L. (1975) Breeding potentials of noncultivated cottons. I. Some agronomic and fiber properties of selected parents and their F1 hybrids. Crop Sci. 15: 763–766.CrossRefGoogle Scholar
  96. Young, W.P., Schupp, J.M., and Keim, P. (1999) DNA methylation and AFLP marker distribution in the soybean genome. Theor. Appl. Genet. 99: 785–790.CrossRefGoogle Scholar
  97. Yuan, Y.L., Zhang, T.Z., Guo, W.Z., Pan, J.J., and Kohel, R.J. (2005) Diallel analysis of superior fiber quality properties in selected upland cottons. Acta Genetica Sinica 32: 79–85.PubMedGoogle Scholar
  98. Zhang, H.B. (2007) Map-based cloning of genes and QTLs. In: Plant Molecular Mapping and Breeding. C. Kole and A. Abbott (eds.). Springer (in press)Google Scholar
  99. Zhang, J.F., Lu, Y., Adragna, H., and Hughs, E. (2005) Genetic improvement of New Mexico Acala cotton germplasm and their genetic diversity. Crop Sci. 45: 2363–2373.CrossRefGoogle Scholar
  100. Zhang, T.Z., Yuan Y.L., Yu J., Guo, W.Z., and Kohel, R.J., (2003) Molecular tagging of a major QTL for fiber strength in Upland cotton and its marker-assisted selection. Theor. Appl. Genet. 106: 262–268.PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Peng W. Chee
  • B. Todd Campbell

There are no affiliations available

Personalised recommendations