K. Baghyalakshmi P. Jeyaprakash S. Ramchander M. Raveendran S. Robin


The present investigation was undertaken to study the effect of different yield QTL (DTY2.2, DTY3.1 and DTY8.1) under drought and their physiological response to drought stress. Backcross Inbred Lines (BILs) of IR64 (CB-193 and CB-229) along with IR64, APO and the traditional rice variety Norungan were raised in green house condition under water stress and control to evaluate the effect of the QTL on grain yield. The BIL CB-193 recorded higher photosynthetic rate (22.051), transpiration rate (7.152) and Ci/Ca ratio (0.597) whereas the BIL CB-229 recorded high relative water content (80.76%). It was found that the combination of three QTL (CB-229) performed better than the susceptible parent and the line with two QTL (CB-193 Fine-mapping of two QTLs viz., qDTY2.2 and qDTY8.1, for grain yield (GY) were conducted using backcross derived lines. Composite interval mapping analyses resolved the originally identified qDTY2.2 region of 6.7 cM into a segment of 2.1 cM and two sub QTLs at region between RM23132 and RM1578 (75.75 cM- 77.66 cM), RM515 and RM1578 (75.11 cM-77.66 cM) were identified in qDTY8.1 region. However this study provides a unique opportunity to breeders to introgress such regions together as a unit into high-yielding drought-susceptible varieties through MAS.




Backcross inbred lines, Drought QTL, Fine mapping, Photosynthetic efficiency, Rice

Araus, J.L., Slafer, G.A., Reynolds, M.P. and Royo, C. (2002). Plant breeding and drought in C3 cereals: what should we breed for. Ann. Bot., 89 : 925–940
Barrs, H.D. and Weatherley. P.E. (1962). A reexamination of the relative turgidity technique for estimating water deficits in leaves. Aust. J. Biol. Sci., 15:415–428
Bernier, J., Kumar, A., Ramaiah, V., Spaner, D. and Atlin, G. (2007). A large-effect QTL for grain yield under reproductive- stage drought stress in upland rice. Crop Sci., 47: 507–518
Cao, S.Q., Zhai, H.Q., Yang, T.N., Zhang R.X. and Kuang, T.Y. (2001). Studies on photosynthetic rate and function duration of rice germplasm. Chinese J. Rice Sci., 15(1): 29–34
Champoux, M.C., Wang, G., Sarkarung, S., Mackill, D.J., O’Toole, J.C., Huang, N., McCouch S.R. (1995). Locating genes associated for root morphology and drought avoidance in rice via linkage to molecular markers. Theor. Appl. Genet., 90: 969–981
Chen, W.F., Xu, Z.J. and Zhang, B.L. (1995). Physiological bases of super high yield breeding in rice. Liao Ning Science and Technology Publishing Company, Shenyang, China.
Churchill, G.A. and Doerge, R.W. (1994). Empirical threshold values for quantitative trait mapping. Genetics., 138:963–971
Ding, X., Li, X. and Xiong, L. (2011). Evaluation of nearisogenic lines for drought resistance QTL and fine mapping of a locus affecting flag leaf width, spikelet number, and root volume in rice. Theor. Appl. Genet., 123:815–826
Dixit S., Mallikarjuna Swamy B.P., Prashant Vikram, Ahmed, H.U., Sta Curz, M.T., Modesto Amante, Dinesh Atri, Hei Leung and Aravind Kumar. (2012). Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a respose to variable drought severities. Theor. Appl. Genet., 125: 155-169
Kamoshita, A, Wade, L.J., Ali, M.L., Pathan, M.S., Zhang, J., Sarkarung, S. and Nguyen, H.T. (2002). Mapping QTLs for root morphology of a rice population adapted to rainfed lowland conditions. Theor. Appl. Genet., 104:880–893
MacMillan, K., Emrich, K., Piepho, H.P., Mullins, C.E. and Price, A.H. (2006). Assessing the importance of genotype 9 environmental interaction for root traits in rice using a mapping population. II.Conventional QTL analysis. Theor. Appl. Genet., 113:953–964
Markandeya, G., Babu, P.R. and Lachagari, V.B.R. (2005). Functional genomics of drought stress response in rice: transcript mapping of annotated unigenes of an indica rice (Oryza sativa L. cv. Nagina 22). Curr. Sci., 89:496–514
Martinez, J.P., Silva, H., Ledent, J.F. and Pinto, M. (2007). Effect of drought stress on the osmotic adjustment, cell wall elasticity and cell volume of six cultivars of common beans (Phaseolus vulgaris L.). Euro. J. Agro., 26: 30–38
Murray, M.G. and Thompson, W.F. (1980). Rapid isolation of high molecular weight plant DNA. Nucleic Acid Res., 8, 4321-4326
Panaud, O., Chen, X., McCouch, S. (1996). Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Mol. Gen. Genet., 252:597–607
Sikuku, P.A., Netondo, G.W., Onyango, J.C. and Musyimi, D. M. (2010). Effects of water deficit on physiology and Morphology of three varieties of NERICA Rainfed rice (Oryza sativa L.). ARPN Journal of Agricultural and Biological Science, 5: 1
Swamy, B.P.M., Vikram, P., Dixit, S., Ahmed, H.U. and Kumar, A. (2011). Metaanalysis of grain yield QTL identified during agricultural drought in grasses showed consensus. BMC Genomics., 12:319
Tezara, W., Mitchel, V., Driscul, S.P. and Lawlor, D.W. (2002). Effects of water deficit and its interaction with CO2 supply on the biochemistry and physiology of photosynthesis in sunflower. J. Exp. Bot., 53: 1781-1791
Venuprasad, R., Lafitte, H.R. and Atlin, G.N. (2007). Response to direct selection for grain yield under drought stress in rice. Crop Sci., 47:285–293
Venuprasad, R., Dalid, C.O., Del Valle, M., Zhao, D., Espiritu, M., Sta Cruz M.T, Amante M, Kumar .A, Atlin G.N. (2009a). Identification and characterization of large-effect quantitative trait loci for grain yield under lowland drought stress in rice using bulk-segregant analysis. Theor. Appl. Genet., 120:177–190
Venuprasad, R., Bool, M.E., Dalid, C.O., Bernier, J., Kumar, A. and Atlin, G. N. (2009b). Genetic loci responding to two cycles of divergent selection for grain yield under drought stress in a rice breeding population. Euphytica, 167:261–269
Vikram, P., Mallikarjuna Swamy, B.P, Dixit, S., Ahmed, H.U., Sta Cruz M.T., Singh, A.K and Kumar, A. (2011). qDTY1.1, a major QTL for rice grain yield under reproductive-stage drought stress with a consistent effect in multiple elite genetic backgrounds. BMC Genet., doi:10.1186/1471-2156-12-89
Vikram, P., Swamy, B.P.M., Dixit, S., Ahmed, H.. Sta Cruz, M.T., Singh, A.K., Ye, G. and Kumar, A. (2012). Bulk segregant analysis: “An effective approach for mapping consistent-effect drought grain yield QTLs in rice”. Field Crops Research, 134: 185-192
Wang, S., Basten, C.J. and Zeng, Z.B. (2011). Windows QTL cartographer 2.5. department of statistics, North Carolina State University, Raleigh, NC.
Weatherley, P.E. (1950). Studies in the water relations of the cotton plant. I. The field measurements of water deficits in leaves. New Phytol, 49: 81-97
Research Articles

How to Cite

Fine mapping of rice drought QTL and study on combined effect of QTL for their physiological parameters under moisture stress condition. (2016). Journal of Applied and Natural Science, 8(4), 1992-1998. https://doi.org/10.31018/jans.v8i4.1076