Skip to main content
Log in

Sensitivities of rice grain yield and other panicle characters to late-stage drought stress revealed by phenotypic correlation and QTL analysis

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

A lowland rice variety (Zhenshan97B) was crossed with an upland variety (IRAT109) to construct a set of recombinant inbred lines (RILs). The population was evaluated under both well-watered (control) and drought-stress (drought) conditions for 2 years. Panicle water potential (PWP), panicle length (PL), grain number per plant (GNP), primary branch number (PBN), second branch number (SBN), spikelet density (SPD), and dry grain weight per plant (DGW) were measured. Phenotypic correlation and path analysis were used to interpret the ranking of importance of other panicle traits to grain yield. Comparison of such rankings under control and drought conditions showed varied responses of panicle traits to drought stress. It was indicated that GNP was an important contributor to DGW under control, and even more important under drought. Thirty-two quantitative trait loci (QTLs) for panicle traits and dry grain weight were identified, with contribution rates ranging from 3.33% to 22.66%. Eleven epistatic QTLs were detected. Cases of collocated QTLs under control and drought were found for PL, SPD, GNP, PBN, and SBN, but not for DGW and PWP. The effectiveness of selection under normal and stressed conditions is discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Babu RC, Nguyen BD, Chamarerk V, Shanmugasundarama P, Chezhiana P, Jeyaprakash P, Ganesh SK, Palchamy A, Sadasivam S, Sarkarung S, Wade LJ, Nguyen HT (2003) Genetic analysis of drought resistance in rice by molecular markers. Crop Sci 43:1457–1469

    Article  CAS  Google Scholar 

  • Beena (2005) Studies on physio-morphological traits and genetic markers associated with drought response in rice (O. sativa) PhD thesis. Tamil Nadu Agricultural University, Coimbatore, India

  • Brondani C, Rangel N, Brondani V, Ferreira E (2002) QTL mapping and introgression of yield-related traits from Oryza glumaepatula to cultivated rice (Oryza sativa) using microsatellite markers. Theor Appl Genet 104:1192–1203

    Article  CAS  PubMed  Google Scholar 

  • Champoux MC, Wang G, Sarkarung S, Mackill DJ, O’Tool JC, Huang N, McCouch SR (1995) Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers. Theor Appl Genet 90:969–981

    Article  CAS  Google Scholar 

  • Cho YC, Suh JP, Choi IS, Hong HC, Baek MK, Kang KH, Kim YG, Ahn SN, Choi HC, Hwang HG, Moon HP (2003) QTLs analysis of yield and its related traits in wild rice relative Oryza rufipogon. Treat of Crop Res 4:19–29

    Google Scholar 

  • Insightful Corporation (2001) S-plus 6 for Windows, user’s guide. Seattle, WA

    Google Scholar 

  • IRRI (1994) IRRI redesigns rice plant to yield more grain. The IRRI Report 4:1–2

    Google Scholar 

  • Lanceras JC, Pantuwan G, Jongdee B, Toojinda T (2004) Quantitative trait loci associated with drought tolerance at reproductive stage in rice. Plant Physiol 135:384–399

    Article  CAS  PubMed  Google Scholar 

  • Lilley JM, Ludlow MM, McCouch SR, O’Toole JC (1996) Locating QTL for osmotic adjustment and dehydration tolerance in rice. J Exp Bot 47:1427–1436

    Article  CAS  Google Scholar 

  • Lincoln SE, Daly MJ, Lander E (1992) Constructing genetic maps with MAPMAKER/EXP 3.0. Whitehead Institute Technical Report, 3rd edn. Whitehead Institute, Cambridge

    Google Scholar 

  • Liu HY, Zou GH, Liu GL, Hu SP, Li MS, Yu XQ, Mei HW, Luo LJ (2005) Correlation analysis and QTL identification for canopy temperature, leaf water potential and spikelet fertility in rice under contrasting moisture regimes. Chin Sci Bull 50:317–326

    CAS  Google Scholar 

  • Liu HY, Mei HW, Yu XQ, Zou GH, Liu GL, Luo LJ (2006) Towards improving the drought tolerance of rice in China. Plant Genet Resour 4:47–53

    Article  CAS  Google Scholar 

  • Liu GL, Mei HW, Yu XQ, Zou GH, Liu HY, Li MS, Chen L, Wu JH, Luo LJ (2007) Panicle water potential, a physiological trait to identify drought tolerance in rice. J Integr Plant Biol 49:1464–1469

    Article  Google Scholar 

  • Liu GL, Mei HW, Yu XQ, Zou GH, Liu HY, Hu SP, Li MS, Wu JH, Chen L, Luo LJ (2008) QTL analysis of panicle neck diameter (PND), a trait highly correlated with panicle size under well-watered and drought conditions in rice (Oryza sativa L.). Plant Sci 174:71–77

    Article  CAS  Google Scholar 

  • McCouch SR, Cho YG, Yano M, Paul E, Blinstrub M, Morishima H, Kinoshita T (1997) Suggestion for QTL nomenclature. Rice Genet Newsl 14:11–13

    Google Scholar 

  • McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu BY, Maghirang R, Li ZK, Xing YZ, Zhang QF, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002) Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res 9:257–279

    Article  CAS  PubMed  Google Scholar 

  • Price AH, Townend J, Jones MP, Audebert A, Courtois B (2002) Mapping QTLs associated with drought avoidance in upland rice grown in the Philippines and West Africa. Plant Mol Biol 48:683–695

    Article  CAS  PubMed  Google Scholar 

  • Quarrie SA, Gulli M, Calestani C, Steed A, Marmiroli N (1994) Location of a gene regulating drought-induced abscisic acid production on the long arm of chromosome 5A of wheat. Theor Appl Genet 89:794–800

    Article  CAS  Google Scholar 

  • Quarrie SA, Laurie DA, Zhu J, Lebreton C, Semikhodskii A, Steed A, Witsenboer H, Calestani C, Laurie DA (1997) QTL analysis to study the association between leaf size and abscisic acid accumulation in droughted rice leaves and comparisons across cereals. Plant Mol Biol 35:155–165

    Article  CAS  PubMed  Google Scholar 

  • Ray JD, Yu L, McCouch SR, Champoux MC, Wang G, Nguyen HT (1996) Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.). Theor Appl Genet 92:627–636

    Article  CAS  Google Scholar 

  • Robin S, Pathan MS, Courtois B, Lafitte R, Carandang S, Lanceras S, Amante M, Nguyen HT, Li Z (2003) Mapping osmotic adjustment in an advanced back-cross inbred population of rice. Theor Appl Genet 107:1288–1296

    Article  CAS  PubMed  Google Scholar 

  • Srinivasan S, Srinivasan S, Gomez SM, Kumar SS, Ganesh SK, Biji KR, Senthil A, Babu RC (2008) QTLs linked to leaf epicuticular wax physio-morphological and plant production traits under drought stress in rice (Oryza sativa L.). Plant Growth Regul 56:245–256

    Article  CAS  Google Scholar 

  • Suh JP, Ahn SN, Cho YC, Kang KH, Choi IS, Kim YG, Suh HS, Hong HC (2005) Mapping of QTLs for yield traits using an advanced backcross population from a cross between Oryza sativa and O. glaberrima. Korean J Breed 37:214–220

    Google Scholar 

  • Tripathy JN, Zhang J, Robin S, Nguyen HT (2000) QTLs for cell-membrane stability mapped in rice (Oryza sativa L.) under drought stress. Theor Appl Genet 100:1197–1202

    Article  CAS  Google Scholar 

  • Wang DL, Zhu J, Li ZK, Paterson AH (1999) Mapping QTLs with epistatic effects and QTL × environment interactions by mixed linear model approaches. Theor Appl Genet 99:1255–1264

    Article  Google Scholar 

  • Xu JL, Xue QZ, Luo LJ, Li ZK (2001) QTL dissection of panicle number per plant and spikelet number per panicle in rice (Oryza sativa L.). Acta Genetica Sinica 28:752–759

    CAS  PubMed  Google Scholar 

  • Yadav R, Courtois B, Huang N, McLaren G (1997) Mapping genes controlling root morphology and root distribution in a doubled-haploid population of rice. Theor Appl Genet 94:619–632

    Article  CAS  Google Scholar 

  • Yue B, Xiong L, Xue W, Xing Y, Luo L, Xu C (2005) Genetic analysis for drought resistance of rice at reproductive stage in field with different types of soil. Theor Appl Genet 111:1127–1136

    Article  PubMed  Google Scholar 

  • Yue B, Xue W, Xiong L, Yu Z, Luo L, Cui K, Jin D, Xing Y, Zhang Q (2006) Genetic basis of drought resistance at reproductive stage in rice: separation of drought resistance from drought avoidance. Genetics 172:1213–1228

    Article  PubMed  Google Scholar 

  • Zhang J, Babu RC, Pantuwan G, Kamoshita A, Blum A, Sarkarung S, O’Toole JC, Nguyen HT (1999) Molecular dissection of drought tolerance in rice: from physio-morphological traits to field performance. In: Ito O, O’Toole J, Hardy B (eds) Genetic improvement of rice for water-limited environments. IRRI, Manila, pp 331–343

    Google Scholar 

  • Zou GH, Mei HW, Liu HY, Liu GL, Hu SP, Yu XQ, Li MS, Wu JH, Luo LJ (2005) Grain yield responses to moisture regimes in a rice population: association among traits and genetic markers. Theor Appl Genet 112:106–113

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was jointly supported by grants from National Natural Science Foundation of China (30830071), Chinese Ministry of Agriculture (948 plan), Shanghai Municipal Agriculture Commission, and Shanghai Municipal Science and Technology Commission (07ZR14095, 07QA14045, 09DJ1400501), Shanghai Postdoctoral Fund (08R214205), and China Postdoctoral Fund.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lijun Luo.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, G., Mei, H., Liu, H. et al. Sensitivities of rice grain yield and other panicle characters to late-stage drought stress revealed by phenotypic correlation and QTL analysis. Mol Breeding 25, 603–613 (2010). https://doi.org/10.1007/s11032-009-9356-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11032-009-9356-x

Keywords

Navigation