|
|
||||||||
a Jr., USDA-ARS, Crop Science Res. Lab., Genetics and Precision Agriculture Research Unit, Mississippi State, MS 39762
b Dep. of Plant and Soil Sciences, Mississippi State Univ., Mississippi State, MS 39762
c USDA-ARS, Small Fruit Res. Stn., Poplarville, MS 39470
d Delta and Pine Land Company, Scott, MS 38772
* Corresponding author (ssaha{at}msa-msstate.ars.usda.gov)
Knowledge of genetic diversity and relationships among breeding materials has a significant impact on crop improvement. Association between parental divergence and progeny performance has not been well documented in cotton (Gossypium hirsutum L.). The objectives of this study were to estimate genetic diversity among selected cotton genotypes on the basis of simple sequence repeat (SSR) markers, and to investigate the relationship between genetic diversity and F2-bulk population performance. Five U.S. and four Australian cultivars, and two day-neutral converted lines of G. hirsutum were genotyped by means of 90 SSR primer pairs providing 69 polymorphic marker loci. Genetic distance (GD) between genotypes ranged from 0.06 to 0.34 for the 11 parental genotypes. The highest GD (0.34) was observed between ST474 and the day-neutral converted line B1388. The lowest GD (0.06) was detected between cultivars FM832 and FM975. The GD between day-neutral converted lines and cultivars ranged from 0.26 to 0.34. Among the Australian cultivars, GD ranged from 0.06 to 0.19 while GD among U.S. cultivars varied from 0.10 to 0.22, indicating a narrow genetic base. Significant correlations between agronomic and fiber traits of F2-bulk populations and GD ranged from negative to positive depending on the traits, genetic background, and environment. On the basis of SSR markers, GD revealed a lack of genetic diversity among all genotypes and it was a poor predictor of overall F2 performance. However, when genotypes with maximum range of GD were present, it was a better predictor for some traits.
Abbreviations: GD, genetic distance SSR, simple sequence repeats
Related articles in Crop Science:
This article has been cited by other articles:
![]() |
I. Y. Abdurakhmonov, F. N. Kushanov, F. Djaniqulov, Z. T. Buriev, A. E. Pepper, N. Fayzieva, G. T. Mavlonov, S. Saha, J. N. Jenkins, and A. Abdukarimov The Role of Induced Mutation in Conversion of Photoperiod Dependence in Cotton J. Hered., May 1, 2007; 98(3): 258 - 266. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Ynturi, J. N. Jenkins, J. C. McCarty Jr., O. A. Gutierrez, and S. Saha Association of Root-Knot Nematode Resistance Genes with Simple Sequence Repeat Markers on Two Chromosomes in Cotton Crop Sci., November 21, 2006; 46(6): 2670 - 2674. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. N. Jenkins, J. Wu, J. C. McCarty, S. Saha, O. Gutierrez, R. Hayes, and D. M. Stelly Genetic Effects of Thirteen Gossypium barbadense L. Chromosome Substitution Lines in Topcrosses with Upland Cotton Cultivars: I. Yield and Yield Components Crop Sci., March 27, 2006; 46(3): 1169 - 1178. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Saha, J. N. Jenkins, J. Wu, J. C. McCarty, O. A. Gutierrez, R. G. Percy, R. G. Cantrell, and D. M. Stelly Effects of Chromosome-Specific Introgression in Upland Cotton on Fiber and Agronomic Traits Genetics, March 1, 2006; 172(3): 1927 - 1938. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. Van Becelaere, E. L. Lubbers, A. H. Paterson, and P. W. Chee Pedigree- vs. DNA Marker-Based Genetic Similarity Estimates in Cotton Crop Sci., September 23, 2005; 45(6): 2281 - 2287. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Zhang, Y. Lu, R. G. Cantrell, and E. Hughs Molecular Marker Diversity and Field Performance in Commercial Cotton Cultivars Evaluated in the Southwestern USA Crop Sci., June 24, 2005; 45(4): 1483 - 1490. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| The SCI Journals | Agronomy Journal | Vadose Zone Journal | |||
| Journal of Plant Registrations | Soil Science Society of America Journal | ||||
| Journal of Natural Resources and Life Sciences Education |
Journal of Environmental Quality |
||||