Correlation among Agro-Morphological Variation and Genetic Diversity of Rice (Oryza sativa L.) under Drought Stress

Article Preview

Abstract:

In this study, the correlation coefficients among agro-morphological variation, genetic diversity, and drought tolerance in 44 rice cultivars were analyzed. The drought tolerance at seeding stage (DTS) was significantly proportional to drought tolerance at vegetative stage (DTV) (r = 0.60). In addition, DTS and DTV had strong significant positive correlation to leaf roll (r = 0.87 and 0.54, respectively). Means of unfilled grains and tilling per panicle were proportionally correlated to DTS (r = 0.22 and 0.25, respectively), and DTV (r = 0.20 and 0.36, respectively). However, weight of 1000 grains and filled grains recorded no correlation to DTS and DTV. At a homologous coefficient of 16.85 integrated from cluster analysis of agro-morphological, quantitative characteristics and drought tolerant scores, the rice was divided into five groups. Maximum PIC (polymorphic information content) values were detected in three markers including RM11125, RM21, and RM5629, which were between 0.78-0.79. Cluster analysis of microsatellite markers revealed that by a genetic distance of 0.63, the rice varieties were separated into three clusters. The results provide valuable information for rice breeders to select donors in breeding rice integrated with drought tolerance and good agronomic characteristics.

Info:

* - Corresponding Author

[1] B. C. Bates et al., Climate change and water. Technical paper of the Intergovernmental Pannel on Climate Change, IPCC Secretariat, Geneva, Switzerland, 2008, p.210.

Google Scholar

[2] R. Wassmann et al., Region vulnerability of climate change impacts on Asian rice production and scope for adaption. Adv. Agron. 102 (2009) 91-133.

DOI: 10.1016/S0065-2113(09)01003-7

Google Scholar

[3] J. C. O'Toole, Adaptation of rice to drought prone environments. In: Drought resistance in crop with emphasis on rice, Inter. Rice Res. Ins. Los Banos, Philippines, 1982, pp.195-213.

Google Scholar

[4] R. Venuprasad, H.R. Lafitte, G. N Atlin, Response to direct selection for grain yield under drought stress in rice, Crop Sci. 47(1) (2007) 258-293.

DOI: 10.2135/cropsci2006.03.0181

Google Scholar

[5] S. Yoshida, S. Hasegawa, The rice root system: its development and function. In: Drought resistance in crops with emphasis on rice, Inter. Rice Res. Ins. Los Baños, Philippines, 1982, pp.97-114.

Google Scholar

[6] J. Berneier et al., A large - effect QTL for grain yield under reproductive- stage in upland rice, Crop Sci. 47(2) (2007) 505-516.

DOI: 10.2135/cropsci2006.07.0495

Google Scholar

[7] A. Kumar et al., Breeding for drought tolerance: Direct selection for yield, response to selection and use of drought tolerant donors in upland and lowland-adapted populations, Field Crop Res. 107 (2008) 221-231.

DOI: 10.1016/j.fcr.2008.02.007

Google Scholar

[8] J. Ni, P.M. Colowit, D. J. Mackill, Evaluation of genetic diversity in rice subspecies using microsatellite markers, Crop Sci. 42(2) (2002) 601-607.

DOI: 10.2135/cropsci2002.6010

Google Scholar

[9] D. Botstein et al., Construction of a genetic linkage map in man using restriction fragment length polymorphisms, Am. J. Hum. Genet. 32(3) (1980) 314–331.

Google Scholar

[10] N.T. Lang, Protocol for basics of biotechnology, Agri. Pub. House, Ho Chi Minh, Vietnam, 2002.

Google Scholar

[11] N.T. Lang et al., Genetic diversity of salt tolerance rice landraces in Vietnam, J. Plant Breed Crop Sci. 1 (2009) 230-243.

Google Scholar

[12] S.R. McCouch, Molecular mapping of rice chromosomes, Theor. Appl. Genet. 7 (1988) 815-829.

DOI: 10.1007/BF00273666

Google Scholar

[13] S. Temnykh et al., Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.), Theor. Appl. Genet. 100(5) (2000) 697-712.

DOI: 10.1007/s001220051342

Google Scholar

[14] S. R. McCouch et al., Microsatellite marker development, mapping and applications in rice genetics and breeding, Plant Mol. Biol. 35 (1997) 89–99.

DOI: 10.1007/978-94-011-5794-0_9

Google Scholar

[15] IRRI (International Rice Research Institute), Standard Evaluation System for rice, Los Banos, Philippines, 1996.

Google Scholar

[16] M. Nei, W.H. Li, Mathematical model for studying genetically variation in terms of restriction endonucleases, Proceedings of the National Academy of Sciences. 76 (10) (1979) 5269-5273.

DOI: 10.1073/pnas.76.10.5269

Google Scholar

[17] F.J. Rohlf, NTSYS-PC, Numerical taxonomy and multivariate analysis system, version 1.75; App. Bio. Inc, New York, USA, 1990.

Google Scholar

[18] P.A. Sneat, R.R Sokal, Numerical Taxonomy. The principles and practice of numerical classification, W. H. Freeman Co, San Francisco, USA, 1973.

Google Scholar

[19] M. Nei, Analysis of gene diversity in subdivided populations, Proceedings of the National Academy of Sciences. 70(12) (1973) 395-401.

Google Scholar

[20] M. Abarahahr, B. Rabiei, H. Samizadehlahigi, Assessing genetic diversity of rice varieties under drought stress conditions, Not. Sci. Biol. 3(1) (2011) 114-123.

DOI: 10.15835/nsb315618

Google Scholar

[21] B. Jongdee et al., Improving drought tolerance in rainfed lowland: an example from Thailand, Agr. Water. Manag. 80(1-3) (2006) 225-240.

DOI: 10.1016/j.agwat.2005.07.015

Google Scholar

[22] A. J. Garris et al., Genetic structure and diversity in Oryza sativar L., Genentics. 169(3) (2005) 1631-1638.

Google Scholar

[23] S. G. Ram, V. Thiruvengadam, K. K Vinod, Genetic diversity among cultivars landrace and wild rice relatives of rice as revealed by microsatellite markers, J. Appl. Genet. 48 (2007) 337-345.

DOI: 10.1007/bf03195230

Google Scholar

[24] L. Jin et al., Genetic diversity and population structure of a diverse set of rice germplasm for association mapping, Theor. Appl. Genet. 121(3) (2010) 475–487.

DOI: 10.1007/s00122-010-1324-7

Google Scholar

[25] V.V. Nachimuthu et al., Analysis of population structure and genetic diversity in rice germplasm using SSR markers: an initiative towards association mapping of agronomic traits in Oryza Sativa, Rice. 8 (2015) 1-24.

DOI: 10.1186/s12284-015-0062-5

Google Scholar

[26] I. Bertan, F.I.F. Carvalho, A.C. Oliveira, Parental selection strategies in plant breeding programs, J. Crop Sci. Bio. 10 (2007) 211-222.

Google Scholar

[27] B. Courtois et al., Genetic diversity and population structure in a European collection of rice, Crop Sci. 52(4) (2012) 1663-1675.

Google Scholar

[28] H. Chen et al., Development and application of a set of breeder - friendly SNP markers for genetic analyses and molecular breeding of rice (Oryza sativa L.), Theor. Appl. Genet. 123(6) (2011) 869-879.

DOI: 10.1007/s00122-011-1633-5

Google Scholar

[29] M. Liaket Ali et al., A rice diversity panel evaluated of genetic and agro-morphological diversity between sub-populations and its geographic distribution, Crop Sci. 51(5) (2011) 2021-2035.

DOI: 10.2135/cropsci2010.11.0641

Google Scholar