Skip to main content
SpringerLink
Log in

Mapping QTLs associated with drought avoidance in upland rice

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

The identification of molecular markers linked to genes controlling drought resistance factors in rice is a necessary step to improve breeding efficiency for this complex trait. QTLs controlling drought avoidance mechanisms were analyzed in a doubled-haploid population of rice. Three trials with different drought stress intensities were carried out in two sites. Leaf rolling, leaf drying, relative water content of leaves and relative growth rate under water stress were measured on 105 doubled haploid lines in two trials and on a sub-sample of 85 lines in the third one. Using composite interval mapping with a LOD threshold of 2.5, the total number of QTLs detected in all trials combined was 11 for leaf rolling, 10 for leaf drying, 11 for relative water content and 10 for relative growth rate under stress. Some of these QTLs were common across traits. Among the eleven possible QTLs for leaf rolling, three QTLs (on chromosomes 1, 5 and 9) were common across the three trials and four additional QTLs (on chromosomes 3, 4 and 9) were common across two trials. One QTL on chromosome 4 for leaf drying and one QTL on chromosome 1 for relative water content were common across two trials while no common QTL was identified for relative growth rate under stress. Some of the QTLs detected for leaf rolling, leaf drying and relative water content mapped in the same places as QTLs controlling root morphology, which were identified in a previous study involving the same population. Some QTL identified here were also located similarly with other QTLs for leaf rolling as reported from other populations. This study may help to chose the best segments for introgression into rice varieties and improvement of their drought resistance.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Asins MJ, Mestre P, Garcia JE, Dicenta F, Carbonell EA: Genotype × Environment interaction in QTL analysis of an intervarietal almond cross by means of genetic markers. Theor Appl Genet 89: 358–364 (1994).

    Google Scholar 

  2. Basten CJ, Weir BS, Zeng ZB: QTL Cartographer, Version 1.12c. Department of Statistics, North Carolina State University, Raleigh, NC (1977).

    Google Scholar 

  3. Blum A: Evidence for genetic variability in drought. In: Drought Resistance in Crops with Emphasis on Rice, pp. 53–70. International Rice Research Institute, Manila, Philippines (1982).

    Google Scholar 

  4. Bois JF, Dizes J, Lasceve G: Effect of exogenous abscicic acid on rice plants. Stomatal closure and leaf rolling. CR Acad Sci Paris 305 (III): 449–452 (1987).

    Google Scholar 

  5. Causse M, Fulton TM, Cho YG, Ahn SN, Chungwongse J, Wu K, Xiao J, Yu Z, Ronald PC, Harrington SE, Second G, McCouch SR, Tanksley SD: Saturated molecular map of the rice genome based on an interspecific back-cross population. Genetics 138: 1251–1274 (1994).

    Google Scholar 

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

    Google Scholar 

  7. Courtois B, Huang N, Guiderdoni E: RFLP mapping of genes controlling yield components and plant height in an indica × japonica doubled haploid population. In: Proceedings of the International Rice Research Conference, Los Baños, Philippines, 13-15 February 1995, pp. 963-976 (1995).

  8. Fukai S, Cooper M: Development of drought resistant cultivars using physio-morphological traits in rice. Field Crop Res 40: 67–87 (1995).

    Google Scholar 

  9. Guiderdoni E, Gallinato E, Luistro J, Vergara G: Anther culture of tropical japonica/indica hybrids of rice. Euphytica 62: 219–224 (1992).

    Google Scholar 

  10. Hayes PM, Liu BH, Knapp SJ, Chen J, Jones B, Blake T, Franckowiack J, Rasmusson D, Sorrells M, Ullrich SE, Wesenberg D, Kleinhofs A: QTL effects and environmental interaction in a sample of North American barley germplasm. Theor Appl Genet 87: 392–401 (1993).

    Google Scholar 

  11. Hossain M: Recent developments in the Asian rice economy: challenges for rice research. In: Evenson RE, Herdt RW, Hossain M (eds) Rice Research in Asia: Progress and Priorities, pp: 17-33. CAB International IRRI (1996).

  12. Hsiao TC, O'Toole JC, Yambao EB, Turner NC: Influence of osmotic adjustment on leaf rolling and tissue death in rice. Plant Physiol 75: 338–341 (1984).

    Google Scholar 

  13. Huang N, Courtois B, Khush GS, Lin H, Wang G, Wu P, Zheng K: Association of quantitative trait loci for plant height with major dwarfing genes in rice. Heredity 77: 130–137 (1996).

    Google Scholar 

  14. Huang N, McCouch S, Mew T, Parco A, Guiderdoni E: Development of an RFLP map from a doubled haploid population in rice. Rice Genet Newsl 11: 134–137 (1994).

    Google Scholar 

  15. Huang N, Parco A, Mew T, Magpantay G, McCouch S, Guiderdoni E, Xu J, Subudhi P, Angeles ER, Khush GS: RFLP mapping of isozymes, RAPD, and QTLs for grain shape, brown planthopper resistance in a doubled-haploid rice population. Mol. Breed. 3: 105–113 (1997).

    Google Scholar 

  16. Hyne V, Kearsey MJ, Pike DJ, Snape JW: QTL analysis: unreliability and bias in estimation procedure. Mol. Breed. 1: 273–282 (1995).

    Google Scholar 

  17. International Network for Genetic Evaluation of Rice (INGER): Standard Evaluation System for Rice, 4th ed. International Rice Research Institute, Manila, Philippines, 52 pp. (1996).

    Google Scholar 

  18. Lilley JM, Fukai S: Effect of timing and severity of water deficit on four diverse rice cultivars. II. Physiological responses to soil water deficit. Field Crop Res 37: 215–223 (1994).

    Google Scholar 

  19. Lilley JM, Ludlow MM: Expression of osmotic adjustment and dehydration tolerance in diverse rice lines. Field Crop Res 48: 185–197 (1996).

    Google Scholar 

  20. Lilley JM, Ludlow MM, McCouch SR, O'Toole JC: Locating QTL for osmotic adjustment and dehydration tolerance in rice. J Exp Bot 47: 12474–1436 (1996).

    Google Scholar 

  21. Lu C, Shen L, Tan Z, Xu Y, He P, Chen Y, Zhu L: Comparative mapping of QTLs for agronomic traits of rice across environments by using a doubled-haploid population. Theor Appl Genet 94: 145–150 (1997).

    Google Scholar 

  22. Ludlow MM, Muchow RC: A critical evaluation of traits for improving crop yield in water limited environments. Adv Agron 43: 107–153 (1990).

    Google Scholar 

  23. Mambani B, Lal R: Response of upland rice cultivars to drought stress. III. Screening varieties by means of variable moisture along a toposequence. Plant Soil 73: 73–94 (1983).

    Google Scholar 

  24. McLaren G: Basic statistical system BSTAT. International Rice Research Institute, Manila, Philippines (1996).

    Google Scholar 

  25. Mitchell JH, Siamhan D, Wamala MH, Risemeri JB, Chinyamakobvu E, Henderson SA, Fukai S: The use of seedling death score for evaluation of drought resistance in rice. Field Crop Res 55: 129–139 (1998).

    Google Scholar 

  26. Monforte AJ, Asins MJ, Carbonell EA: Salt tolerance in Lycopersicon species. IV. Genotype by salinity interaction in quantitative trait loci detection: constitutive and response QTLs. Theor Appl Genet 95: 706–713 (1997).

    Google Scholar 

  27. Price AH, Tomos AD: Genetic dissection of root growth in rice. II. Mapping quantitative trait loci using molecular markers. Theor Appl Genet 95: 143–152 (1997).

    Google Scholar 

  28. Price AH, Young EM, Tomos AD: QTLs associated with stomatal conductance, leaf rolling and heading date mapped in upland rice. New Phytol 137 (1): 33–91 (1997).

    Google Scholar 

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

    Google Scholar 

  30. Ribaut JM, Jiang C, Gonzales-de Leon, Edmeades GO, Hoisington DA: Identification of QTL under drought situation in tropical maize. 2. Yield components and marker-assisted selection strategies. Theor Appl Genet 94: 887–896 (1997).

    Google Scholar 

  31. Romagosa I, Ullrich SE, Han F, Hayes PM: Use of the additive main effects and multiplicative interaction model in QTL mapping for adaption in barley. Theor Appl Genet 93: 30–37 (1996).

    Google Scholar 

  32. Teulat B, This D, Khairallah M, Borries C, Ragot C, Sourdille P, Leroy P, Monneveux P, Charrier A: Several QTLs involved in osmotic adjustment trait variation in barley. Theor Appl Genet 96: 688–698 (1998).

    Google Scholar 

  33. Tuinstra MR, Grote EM, Goldsbrough PB, Ejeta G: Genetic analysis of post-flowering drought tolerance and components of grain development in Sorghum bicolor (L.) Moench. Mol Breed 3: 439–448 (1997).

    Google Scholar 

  34. Turner NC: Techniques and experimental approaches for the measurement of plant water status. Plant Soil 58: 339–365 (1981).

    Google Scholar 

  35. Widawsky DA, O'Toole JC: Prioritizing Rice Biotechnology Research Agenda for Eastern India. Rockefeller Foundation, New York (1990).

    Google Scholar 

  36. Xia BS, Hanada K, Kizuchi F: Character expression of the semi-dwarfism gene sd-1 in rice. Effect of nitrogen levels on the expression of some agronomic characteristics. Jpn J Crop Sci 60: 36–41 (1991).

    Google Scholar 

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

    Google Scholar 

  38. Yadav RS, Howarth CJ, Cavan GP, Skot KP, Bidinger FR, Mahalakshmi V, Hash CT: Drought tolerance mapping in pearl millet. Int Sorghum Millet News (in press).

  39. Zeng ZB: Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci. Proc Natl Acad Sci USA 90: 10972–10976 (1993).

    Google Scholar 

  40. Zeng ZB: Precision mapping of quantitative trait loci. Genetics 136: 1457–1468 (1994).

    Google Scholar 

  41. Zhuang JY, Lin HX, Ju J, Qian HR, Hittalmani S, Huang N, Zheng KL: Analysis of QTL × environment interaction for yield components and plant height in rice. Theor Appl Genet 95: 799–808 (1997).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. International Rice Research Institute, P.O. Box 3127, Makati Central Post Office, 1271, Makati City, Philippines

    B. Courtois, G. McLaren, R. Yadav & L. Shen

  2. Central Rainfed Upland Rice Research Station, P.O. Box 48, Hazaribag, Bihar, India

    P.K. Sinha & K. Prasad

Authors
  1. B. Courtois
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. McLaren
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P.K. Sinha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. K. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. R. Yadav
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. L. Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Courtois, B., McLaren, G., Sinha, P. et al. Mapping QTLs associated with drought avoidance in upland rice. Molecular Breeding 6, 55–66 (2000). https://doi.org/10.1023/A:1009652326121

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1009652326121

Search

Navigation