Evaluation and Association Mapping for Drought Tolerance in Sorghum [Sorghum Bicolor (L.) Moench]
association mapping, drought, population structure, QTLs, SSRs., Drought, SSRs
Abstract
As drought is a major production constraint, there is a need to develop drought tolerant varieties which in turn requires identification of genotypes that carry genes or QTLs associated with drought tolerance. Hence, the objectives of this study were to identify and map chromosomal regions associated with drought tolerance and to identify SSR markers tightly linked to these QTLs and to identify drought tolerant sorghum genotypes. Phenotypic and genotypic coefficients of variations were moderately high at both locations. The population structure analysis revealed four distinct clusters for 151 accessions studied. A total of four SSR markers were found to be consistently associated with days to 50% flowering, panicle exsertion and grain weight per panicle. These markers were localized with previously identified markers. Hence, the identified markers could be used in future marker-assisted selection programmes.
Downloads
How to Cite
References
Peter Bradbury, Zhiwu Zhang, Dallas Kroon, Terry Casstevens, Yogesh Ramdoss, Edward Buckler (2011) TASSEL: software for association mapping of complex traits in diverse samples. 23(19), 2633-2635. https://doi.org/10.1093/bioinformatics/btm308
A. Casa, S. Mitchell, Sun Hamblin T, Bowers J.E, Paterson A.H, Kresovich Aquadand C.F (2005) Diversity and selection in sorghum: Simultaneous analyses using simple sequence repeats. 111(1), 23-30. https://doi.org/10.1007/s00122-005-1952-5
H. Dicko, Traore Gruppen H, Voragen A (2006) Sorghum grain as human food in Africa: Relevance of content of starch and amylase activities. 5, 384-395.
G. Evanno, S. Regnaut, J. Goudet (2005) Detecting the number of clusters of individuals using the software structure: a simulation study. 14(8), 2611-2620.
FAOSTAT, Agriculture Organization of the United Nations, statistical base (2011) Food and Agriculture Organization of the United Nations, statistical Data base. http://faostat.org/site
M. Hamblin, Fernandez Maria G, Casa A.M, Mitchell S.E, Paterson A.H (2005) Equilibrium Processes Cannot Explain High Levels of Short- and Medium-Range Linkage Disequilibrium in the Domesticated Grass Sorghum bicolor. 171(3), 1247-1256. https://doi.org/10.1534/genetics.105.041566
(1993) Descriptors for Sorghum [Sorghum bicolor (L.) Moench].
G. Kidane, D. Alemneh, M. Malo (2010) Malo M. 11-18.
M. Li, Yuyama N (2009) In silico mapping of 1758 new SSR markers developed from public genomic sequences for sorghum. 24(1), 41-47. https://doi.org/10.1007/s11032-009-9270-2
Lihua Liu, Lixin Wang, Ji Yao, Yonglian Zheng, Changping Zhao (2010) Association mapping of six agronomic traits on chromosome 4A of wheat (Triticum aestivum L.) Molec. 1(5), 1-10.
Mace E.S., Buhariwalla H.K., Crouch J.H. (2003) A high throughput DNA extraction protocol for tropical molecular breeding programs. 21, 459.
Mace Jordan, D. (2010) Location of major effect genes in sorghum (Sorghum bicolor (L.) Moench).Theor Appl. 121, 1339-1356.
R. Mutava, P. Prasad, M. Tuinstra, K. Kofoid, J. Yu (2011) Characterization of sorghum genotypes for traits related to drought tolerance. 123(1), 10-18. https://doi.org/10.1016/j.fcr.2011.04.006
(2009) Mutava.
Jonathan Pritchard, Matthew Stephens, Peter Donnelly (2000) Inference of Population Structure Using Multilocus Genotype Data. 155(2), 945-959. https://doi.org/10.1093/genetics/155.2.945
K. Ritter, Jordan D.R, Chapman S.C, Godwin I.D, Mace E.S (2008) Identification of QTL for sugar-related traits in a sweet × grain sorghum (Sorghum bicolor L. Moench) recombinant inbred population. 22(3), 367-384. https://doi.org/10.1007/s11032-008-9182-6
K. Semagn, A. Bjornstad, M. Ndjiondjop (2006) An overview of molecular marker methods for plants African J. 5(25), 2540-2568.
Tariq Shehzad, Hiroyoshi Iwata, Kazutoshi Okuno (2009) Genome-wide association mapping of quantitative traits in sorghum (Sorghum bicolor (L.) Moench ) by using multiple models.Breeding Sci. 59(3), 217-227. https://doi.org/10.1270/jsbbs.59.217
L. Skot, Humphreys M.O (2005) An association mapping approach to identify flowering time genes in natural populations of Lolium perenne (L.). 15(3), 233-245. https://doi.org/10.1007/s11032-004-4824-9
G. Srinivas, Madhusudhana Satish K, Reddy R.N, Mohan S.M (2009) Identification of quantitative trait loci for agronomically important traits and their association with genic-microsatellite markers in sorghum Theor Appl. 118(8), 1439-1454. https://doi.org/10.1007/s00122-009-0993-6
H. Upadhyaya, Wang Y (2012) Association mapping of height and maturity across five environments using the sorghum mini core collection. 55(6), 471-481.
Hari Upadhyaya, Yi-Hong Wang, Shivali Sharma, Sube Singh, Karl Hasenstein (2012) SSR markers linked to kernel weight and tiller number in sorghum identified by association mapping. 187(3), 401-410. https://doi.org/10.1007/s10681-012-0726-9
N. Vavilov (1992) Origin and Geography of Cultivated Plants. 332.
T. Tanto, A. Demissie (2000) A Comparative study of genetic diversity of four major crops managed of Ethiopia. 246-289.
Yi-Hong Wang, Paul Bible, Rasiah Loganantharaj, Hari Upadhyaya (2012) Identification of SSR markers associated with height using pool-based genome-wide association mapping in sorghum. 30(1), 281-292. https://doi.org/10.1007/s11032-011-9617-3
Published
2013-05-02
Issue
Section
License
Copyright (c) 2013 Authors and Global Journals Private Limited

This work is licensed under a Creative Commons Attribution 4.0 International License.