Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-27T05:14:43.284Z Has data issue: false hasContentIssue false
  • English
  • Français

Quantitative inheritance of leaf morphological traits in upland cotton

Published online by Cambridge University Press:  23 May 2008

J. J. HAO ,
S. X. YU ,
Z. D. DONG ,
S. L. FAN ,
Q. X. MA ,
M. Z. SONG  and
J. W. YU
J. J. HAO
Affiliation:
Cotton Research Institute, Chinese Academy of Agricultural Science, Yellow River Great Road, Anyang 455000, China Plant Protection Institute, Henan Academy of Agricultural Science, No. 1 Agriculture Road, Zhengzhou 450002, China
S. X. YU*
Affiliation:
Cotton Research Institute, Chinese Academy of Agricultural Science, Yellow River Great Road, Anyang 455000, China
Z. D. DONG
Affiliation:
Academy of Agronomy, Henna Agricultural University, No. 95 Wenhua Road, Zhengzhou 450002, China
S. L. FAN
Affiliation:
Cotton Research Institute, Chinese Academy of Agricultural Science, Yellow River Great Road, Anyang 455000, China
Q. X. MA
Affiliation:
Plant Protection Institute, Henan Academy of Agricultural Science, No. 1 Agriculture Road, Zhengzhou 450002, China
M. Z. SONG
Affiliation:
Cotton Research Institute, Chinese Academy of Agricultural Science, Yellow River Great Road, Anyang 455000, China
J. W. YU
Affiliation:
Cotton Research Institute, Chinese Academy of Agricultural Science, Yellow River Great Road, Anyang 455000, China
*
*To whom all correspondence should be addressed. Email: yu@cricaas.com.cn
Get access Rights & Permissions [Opens in a new window]

Summary

Genetic manipulation of leaf architecture may be a useful breeding objective in cotton (Gossypium spp.). The present study reports quantitative genetic analysis of leaf traits from two intraspecific crosses of inbred lines in upland cotton (Gossypium hirsutum L.) viz. Kang3×Chaoji463 and Han109×Ji98. Six leaf morphological traits (leaf area (LA), leaf perimeter (LP), main lobe length (LL) and width (LW), petiole length (PL), and main LL/LW ratio) were recorded from multiple generations (P1, F1, P2, BC1, BC2, and F2) in the two crosses. Generation mean analyses were conducted to explain the inheritance of each leaf morphological trait. The six-parameter model showed a better fit to an additive-dominance model for LA, main LW, PL, and main LL/LW ratio in the two crosses, suggesting the relative importance of epistatic effects controlling leaf morphology. A simple additive-dominance model accounted for the genetic variation of the main LL in the Kang3×Chaoji463 cross. Different models were selected as appropriate to explain LP in the two crosses. The differences between broad- and narrow-sense heritability values for the same trait were not constant in the two crosses. The estimated minimum number of genes controlling each leaf morphological trait ranged from 0 to 2 for both the crosses. Moreover, the sums of the minimum number of genes controlling leaf morphology were 6 and 2 in the Kang3×Chaoji463 and Han109×Ji98 populations, respectively. Most data suggested that there existed a substantial opportunity to breed cottons that transgress the present range of leaf phenotypes found.

Type
Crops and Soils
Information
The Journal of Agricultural Science , Volume 146 , Issue 5 , October 2008 , pp. 561 - 569
Copyright
Copyright © 2008 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Allard, R. W. (1960). Principles of Plant Breeding. New York: John Wiley and Sons, Inc.Google Scholar
Andries, J. A., Jones, J. E., Sloane, L. W. & Marshall, J. G. (1969). Effects of okra leaf shape on boll rot, yield, and other important characters of upland cotton, Gossypium hirsutum L. Crop Science 9, 705–710.CrossRefGoogle Scholar
Cavalli, L. L. (1952). Analysis of linkage quantitative inheritance. In Quantitative Inheritance (Eds Reevea, E. C. R. & Waddington, C. H.), pp. 135–144. London: HMSO.Google Scholar
Du, X. M. & Zhou, Z. L. (2005). Descriptors and Data Standard for Cotton (Gossypium ssp.). Beijing, China: Chinese Agriculture Press.Google Scholar
Dudley, J. W. & Moll, R. H. (1969). Interpretation and use of heritability and genetic estimates in plant breeding. Crop Science 9, 257–262.CrossRefGoogle Scholar
Endrizzi, J. E., Turcotte, E. C. & Kohel, R. J. (1984). Qualitative genetics, cytology, and cytogenetics. In Cotton (Eds Kohel, R. J. & Lewis, C. F.), pp. 81–129. Madison, Wisconsin, USA: ASA/CSSA/SSSA Publishers.Google Scholar
Frary, A., Fritz, L. A. & Tanksley, S. D. (2004). A comparative study of the genetic bases of natural variation in tomato leaf, sepal, and petal morphology. Theoretical and Applied Genetics 109, 523–533.CrossRefGoogle ScholarPubMed
Gurevitch, J. (1992). Sources of variation in leaf shape among two populations of Achillea lanulosa. Genetics 130, 385–394.CrossRefGoogle ScholarPubMed
Hallauer, A. R. & Miranda, J. B. (1988). Quantitative Genetics and Maize Breeding. Ames, USA: Iowa State University Press.Google Scholar
Heitholt, J. J. (1993). Cotton boll retention and its relationship to lint yield. Crop Science 33, 486–490.CrossRefGoogle Scholar
Heitholt, J. J. & Meredith, W. R. Jr, (1998). Yield, flowering, and leaf area index of okra-leaf and normal-leaf cotton isolines. Crop Science 38, 643–648.CrossRefGoogle Scholar
Jiang, C., Wright, R. J., Woo, S. S., Delmonte, T. A. & Paterson, A. H. (2000). QTL analysis of leaf morphology in tetraploid Gossypium (cotton). Theoretical and Applied Genetics 100, 409–418.CrossRefGoogle Scholar
Kerby, T. A. & Buxton, D. R. (1978). Effect of leaf shape and plant population on rate of fruiting position appearance in cotton. Agronomy Journal 70, 535–538.CrossRefGoogle Scholar
Kerby, T. A., Buxton, D. R. & Matsuda, K. (1980). Carbon source sink relationships within narrow-row cotton canopies. Crop Science 20, 208–213.CrossRefGoogle Scholar
Lande, R. (1981). The minimum number of genes contributing to quantitative variation between and within populations. Genetics 99, 541–553.CrossRefGoogle ScholarPubMed
Ma, Q. X., Yang, X. S., Liu, J. Z., Wang, Z. Y., Cheng, R. S., Niu, Z. H. & Xing, T. M. (2004). Study on developmental courses and bolls in hybrid cotton BiaozaA1. China Cotton 31, 21–23.Google Scholar
Mather, K. & Jinks, J. L. (1982). Biometrical Genetics, 3rd edn. London: Chapman and Hall.CrossRefGoogle Scholar
Ng, T. J. (1990). Generation means analysis by microcomputer. HortScience 25, 363.Google Scholar
Parkhurst, D. F. & Loucks, D. L. (1972). Optimal leaf size in relation to environment. Journal of Ecology 60, 505–537.CrossRefGoogle Scholar
Perez-Perez, J. M., Serrano-Cartagena, J. & Micol, J. L. (2002). Genetic analysis of natural variations in the architecture of Arabidopsis thaliana vegetative leaves. Genetics 162, 893–915.CrossRefGoogle ScholarPubMed
Pettigrew, W. T., Heitholt, J. J. & Vaughn, K. C. (1993). Gas exchange differences and comparative anatomy among cotton leaf-type isolines. Crop Science 33, 1295–1299.CrossRefGoogle Scholar
Robinson, D. C., Comstock, R. E. & Harvey, P. H. (1955). Genetic variances in open pollinated corn. Genetics 40, 45–60.CrossRefGoogle ScholarPubMed
SAS Institute. (1999). SAS Version 8.02 for Windows. Cary, NC, USA: SAS Institute Inc.Google Scholar
Sebastian, R. L., Kearsey, M. J. & King, G. J. (2002). Identification of quantitative trait loci controlling developmental characteristics of Brassica oleracea L. Theoretical and Applied Genetics 104, 601–609.CrossRefGoogle ScholarPubMed
Shoemaker, D. N. (1908). A study of leaf characters in cotton hybrids. Annual Report of the American Breeders' Association 5, 116–119.Google Scholar
Stephens, S. G. (1945). A genetic survey of leaf shape in New World cottons – a problem in critical identification of alleles. Journal of Genetics 46, 313–330.CrossRefGoogle Scholar
Stettler, R. F., Fenn, R. C., Heilman, P. E. & Stanton, B. J. (1988). Populus trichocarpa×Populus deltoides hybrids for short rotation culture: variation patterns and 4-year field performance. Canadian Journal of Forest Research 18, 745–753.CrossRefGoogle Scholar
Stiller, W. N., Read, J. J., Constable, G. A. & Reid, P. E. (2005). Selection for water use efficiency traits in a cotton breeding program: cultivar differences. Crop Science 45, 1107–1113.CrossRefGoogle Scholar
Ulloa, M. (2006). Heritability and correlations of agronomic and fiber traits in an okra-Leaf upland cotton population. Crop Science 46, 1508–1514.Google Scholar
Waghmare, V. N., Rong, J. K., Rogers, C. J., Pierce, G. J., Wendel, J. F. & Paterson, A. H. (2005). Genetic mapping of a cross between Gossypium hirsutum (cotton) and the Hawaiian endemic, Gossypium tomentosum. Theoretical and Applied Genetics 111, 665–676.CrossRefGoogle ScholarPubMed
Warner, J. N. (1952). A method for estimating heritability. Agronomy Journal 44, 427–430.CrossRefGoogle Scholar
Wells, R. & Meredith, W. R. (1986). Normal vs okra-leaf yield interactions in cotton. II. Analysis of vegetative and reproductive growth. Crop Science 26, 223–228.Google Scholar
Wright, S. (1968). Evolution and the Genetics of Populations. Chicago: University of Chicago Press.Google Scholar
Wu, R. & Stettler, R. F. (1994). Quantitative genetics of growth and development in Populus. I. A three-generation comparison of tree architecture during the first two years of growth. Theoretical and Applied Genetics 88, 1046–1054.Google Scholar
Wu, R., Bradshaw, H. D. Jr, & Stettler, R. F. (1997). Molecular genetics of growth and development in Populus (Salicaceae). V. Mapping quantitative trait loci affecting leaf variation. American Journal of Botany 84, 143–153.CrossRefGoogle ScholarPubMed
Wu, R. L. (2000). Quantitative genetic variation of leaf size and shape in a mixed diploid and triploid population of Populus. Genetical Research 75, 215–222.CrossRefGoogle Scholar
Xu, Y., Kang, D., Shi, Z., Shen, H. & Wehner, T. (2004). Inheritance of resistance to zucchini yellow mosaic virus and watermelon mosaic virus in watermelon. Journal of Heredity 95, 498–502.CrossRefGoogle ScholarPubMed
Yamada, T., Jones, E. S., Cogan, N. O. I., Vecchies, A. C., Nomura, T., Hisano, H., Shimamoto, Y., Smith, K. F., Hayward, M. D. & Forster, J. W. (2004). QTL analysis of morphological, developmental, and winter hardiness-associated traits in perennial ryegrass, Crop Science 44, 925–935.Google Scholar
Zalapa, J. E., Staub, J. E. & McCreight, J. D. (2006). Generation means analysis of plant architectural traits and fruit yield in melon. Plant Breeding 125, 482–487.CrossRefGoogle Scholar