International Journal of Applied Agricultural Sciences

| Peer-Reviewed |

Screening of Rice (Oryza sativa L.) Genotypes for Salinity Tolerance in Ethiopia

Received: 27 December 2016    Accepted: 09 January 2017    Published: 06 March 2017
Views:       Downloads:

Share This Article

Abstract

This study was carried out to investigate the effect of 4 different salinity levels (0, 4, 8 and 12 dSm-1) on yield of 13 rice genotypes along with a salt-tolerant and susceptible check genotypes to identify salt tolerant rice genotype to be used under irrigation. A factorial combination of the fifteen genotypes and four salinity levels was laid out in completely randomized design (CRD) in two replications in a mesh house. The experiments were conducted at Werer Agricultural research Center, eastern Ethiopia, from December, 2008 to May, 2009. Since all plants of all genotypes died under salinity level of 12 dSm-1, grain yield data obtained from three salinity levels are included in the analysis. Statistical Analysis of Variance (ANOVA) revealed highly significant difference among the test genotypes in all traits studied, witnessing the availability of ample genetic variability which can be used in breeding rice for tolerance to salinity. Salinity levels affected all measured traits. The Genotype x Salinity interaction was also significant for all traits except for Plant Height during Heading, Panicle Length, Number of Panicle, Number of Grains per panicle and Number of Tillers per plant, indicating the inconsistency of the performance of genotypes by many of the traits over the salinity levels and the need for selection of rice genotypes specifically adapted to a particular salinity level. In the pot experiment an increase in salinity from 0 to 4 and to 8 dSm-1 consistently reduced growth parameters, biomass, grain yield and its components, but delayed phenology. Genotypes IR66946-3R-176-1-1 (G15) and IR68144-2B-2-2-3-2 (G8) were tolerant to salinity both during early growth and later during vegetative growth, and seed setting. IR59418-7B-21-3 (G1), IR59418-7B-27-3 (G2) and IR72593-B-18-2-2-2 (G13) were found to be salt tolerant during vegetative growth and seed setting. These five genotypes can therefore be recommended for further testing under salt stress. Higher grain yield and its components under salt stress and smaller reduction of these parameters under salt stress as compared with values under normal growth condition should be used as selection criteria to develop salt tolerant rice genotypes. AMMI biplot analysis enabled clear discrimination of genotypes response against root zone salinity stress.

DOI 10.11648/j.ijaas.20170301.13
Published in International Journal of Applied Agricultural Sciences (Volume 3, Issue 1, January 2017)
Page(s) 25-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Salinity, Tolerance, Rice, Genotype

References
[1] Akbar, M. and Yabuno, T. 1975. Breeding for salinity resistant varieties of rice. III. Response of F1 hybrids to salinity in reciprocal crosses between Jbona 349 and Mengolia. Japan J. Breeding. 25: 215-220.
[2] Akbar, M., Sajjad, M. S. and Shakoor, A. 1979. Development of rice varieties for saline soils of Pakistan. Proc. Second National seminar on Rice Research and production, PARC, Pp: 79-84.
[3] Azhar, F. M. and McNeilly, T. 1987. Variability of salt tolerance in Sorghum bicolor (L.) Moench under hydroponic conditions. J. Agron., 159: 269–77.
[4] Azhar, F. M. and McNeilly, T. 1989. The response of four sorghum accessions/cultivars to salinity during plant development. Crop Sci., 63: 33-43.
[5] Burgueno, J., Crossa, J. and Vargas, M. 2001. SAS programs for graphing GE and GGE biplots. Biometrics and Statistics Unit, CIMMYT.
[6] Fentaw, A. 1995. Effects of subsurface drainage system on ground water table, soil salinity and crop yield in Melka Sadi Pilot drainage scheme. In: Woldeyesus Sinebo, Zerihun Tadele and Nigusie Alemayehu (Eds.), Increasing food production through improved crop management. Proceedings of the First and Inaugural Conference of the Agronomy and Crop Physiology of Ethiopia, 30-31 May 1995, IAR, Addis Ababa, Ethiopia, 139-148 pp.
[7] Flowers, T. J. and Yeo, A. R. 1981. Variability in the resistance of sodium chloride salinity within rice (Oryza sativa L.) varieties. New Phytol., 88: 363-373.
[8] Flowers, T. J. and Yeo, A. R. 1995. Breeding for salinity resistance in crop plants. Where next? Aust J Plant Physiol., 22, 875-884.
[9] Francois, L. E., Donovan, T. J., Maas, E. V. and Rubenthaler, G. L. 1988. Effect of salinity on grain yield and quality. Vegetative growth and germination of triticale. J. Agron., 80: 642–7.
[10] Francoise, L. E., Grieve, C. M., Maas, E. V. and Lesch, S. M. 1994. Time of salt stress affects growth and yield components of irrigated wheat. J. Agron., 86: 100–7.
[11] Francois, L. E. and Klieman, R. 1990. Salinity effects on vegetative growth, seed yield and fatty acid composition of crabme. J. Agron., 82: 1110-14.
[12] Francois, L. E., Maas, E. V., Donovan, T. J. and Youngs, V. L. 1986. Effect of salinity on grain yield and quality, vegetative growth, and germination of semi-dwarf and Durum wheat. J. Agron., 78: 1053-1058.
[13] Grieve, C. M., Lesch, S. M., Francois, L. E. and Maas, E. V. 1992. Analysis of main spike and yield components in salt stressed wheat. Crop Sci., 32: 697-703.
[14] Grieve, C. M., Lesch, S. M., Maas, E. V. and Francois, L. E. 1993 Leaf and spikelet primordia initiation in salt-stressed wheat. Crop Sci. 33: 1286-1294.
[15] IRRI. 1997. Standard evaluation system for rice. International Rice Research Institute. Manila. Philippines.
[16] Khan, M. S., Hamid, A. and Karim, M. A. 1997. Effect of sodium chloride on germination and seedling characters of different types of rice (Oryza sativa L.). Crop Sci. 179: 163-169.
[17] Kinfemichael G. 2005. Screening of some lowland teff accessions and varieties for NaCl-induced salinity stress during germination and seedling stage. Journal pf Dryland Agri.. 84p.
[18] Kirby, E. J. M. 1974. Ear development in spring wheat. J. Agric. Sci., 82: 437–47.
[19] Maas, E. V. and Grieve, C. M. 1990. Spike and leaf development in salt stressed wheat. Crop Sci. 30: 1309-13.
[20] Munns, R. 2002. Comparative physiology of salt and water stress. Plant Cell and Environ., 25: 239-250.
[21] Pearson, G. A. and Bernstein, L. 1959. Salinity effects at several growth stages of rice. J. Agron., 51: 654–657.
[22] SAS. 2001. Statistical Analysis System for Windows, release 8. 02. SAS Institute Inc., Cary, NC.
[23] Szabolcs, I. 1979. Review of research on salt affected soils natural resources research XV, UNESCO, Paris.
[24] Szabolcs, I. 1989. Salt affected soils. CRS press. Inc., Boca Ratan, Florida. pp. 274.
[25] WARC (Werer Agricultural Research Centre). 2009. Annual Climate record at Werer Agricultural Research Center. Annual Report, Werer Agro meteorology Research Section, Werer, Ethiopia. 6p.
[26] Wardlaw, I. F., Sofield, I. and Cartwright, P. M. 1980. Factors limiting the rate of dry matter accumulation in the grain of wheat grown at high temperature. Aust J. Plant Physiol., 7: 387–400.
Author Information
  • Wheat Breeding and Genetics, Kulumsa Agricultural Research Center, Assela, Ethiopia

  • Department of Plant and Horticultural Sciences, Hawassa University, Hawassa, Ethiopia

Cite This Article
  • APA Style

    Dawit Asnake, Hussien Mohammed. (2017). Screening of Rice (Oryza sativa L.) Genotypes for Salinity Tolerance in Ethiopia. International Journal of Applied Agricultural Sciences, 3(1), 25-31. https://doi.org/10.11648/j.ijaas.20170301.13

    Copy | Download

    ACS Style

    Dawit Asnake; Hussien Mohammed. Screening of Rice (Oryza sativa L.) Genotypes for Salinity Tolerance in Ethiopia. Int. J. Appl. Agric. Sci. 2017, 3(1), 25-31. doi: 10.11648/j.ijaas.20170301.13

    Copy | Download

    AMA Style

    Dawit Asnake, Hussien Mohammed. Screening of Rice (Oryza sativa L.) Genotypes for Salinity Tolerance in Ethiopia. Int J Appl Agric Sci. 2017;3(1):25-31. doi: 10.11648/j.ijaas.20170301.13

    Copy | Download

  • @article{10.11648/j.ijaas.20170301.13,
      author = {Dawit Asnake and Hussien Mohammed},
      title = {Screening of Rice (Oryza sativa L.) Genotypes for Salinity Tolerance in Ethiopia},
      journal = {International Journal of Applied Agricultural Sciences},
      volume = {3},
      number = {1},
      pages = {25-31},
      doi = {10.11648/j.ijaas.20170301.13},
      url = {https://doi.org/10.11648/j.ijaas.20170301.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijaas.20170301.13},
      abstract = {This study was carried out to investigate the effect of 4 different salinity levels (0, 4, 8 and 12 dSm-1) on yield of 13 rice genotypes along with a salt-tolerant and susceptible check genotypes to identify salt tolerant rice genotype to be used under irrigation. A factorial combination of the fifteen genotypes and four salinity levels was laid out in completely randomized design (CRD) in two replications in a mesh house. The experiments were conducted at Werer Agricultural research Center, eastern Ethiopia, from December, 2008 to May, 2009. Since all plants of all genotypes died under salinity level of 12 dSm-1, grain yield data obtained from three salinity levels are included in the analysis. Statistical Analysis of Variance (ANOVA) revealed highly significant difference among the test genotypes in all traits studied, witnessing the availability of ample genetic variability which can be used in breeding rice for tolerance to salinity. Salinity levels affected all measured traits. The Genotype x Salinity interaction was also significant for all traits except for Plant Height during Heading, Panicle Length, Number of Panicle, Number of Grains per panicle and Number of Tillers per plant, indicating the inconsistency of the performance of genotypes by many of the traits over the salinity levels and the need for selection of rice genotypes specifically adapted to a particular salinity level. In the pot experiment an increase in salinity from 0 to 4 and to 8 dSm-1 consistently reduced growth parameters, biomass, grain yield and its components, but delayed phenology. Genotypes IR66946-3R-176-1-1 (G15) and IR68144-2B-2-2-3-2 (G8) were tolerant to salinity both during early growth and later during vegetative growth, and seed setting. IR59418-7B-21-3 (G1), IR59418-7B-27-3 (G2) and IR72593-B-18-2-2-2 (G13) were found to be salt tolerant during vegetative growth and seed setting. These five genotypes can therefore be recommended for further testing under salt stress. Higher grain yield and its components under salt stress and smaller reduction of these parameters under salt stress as compared with values under normal growth condition should be used as selection criteria to develop salt tolerant rice genotypes. AMMI biplot analysis enabled clear discrimination of genotypes response against root zone salinity stress.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Screening of Rice (Oryza sativa L.) Genotypes for Salinity Tolerance in Ethiopia
    AU  - Dawit Asnake
    AU  - Hussien Mohammed
    Y1  - 2017/03/06
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijaas.20170301.13
    DO  - 10.11648/j.ijaas.20170301.13
    T2  - International Journal of Applied Agricultural Sciences
    JF  - International Journal of Applied Agricultural Sciences
    JO  - International Journal of Applied Agricultural Sciences
    SP  - 25
    EP  - 31
    PB  - Science Publishing Group
    SN  - 2469-7885
    UR  - https://doi.org/10.11648/j.ijaas.20170301.13
    AB  - This study was carried out to investigate the effect of 4 different salinity levels (0, 4, 8 and 12 dSm-1) on yield of 13 rice genotypes along with a salt-tolerant and susceptible check genotypes to identify salt tolerant rice genotype to be used under irrigation. A factorial combination of the fifteen genotypes and four salinity levels was laid out in completely randomized design (CRD) in two replications in a mesh house. The experiments were conducted at Werer Agricultural research Center, eastern Ethiopia, from December, 2008 to May, 2009. Since all plants of all genotypes died under salinity level of 12 dSm-1, grain yield data obtained from three salinity levels are included in the analysis. Statistical Analysis of Variance (ANOVA) revealed highly significant difference among the test genotypes in all traits studied, witnessing the availability of ample genetic variability which can be used in breeding rice for tolerance to salinity. Salinity levels affected all measured traits. The Genotype x Salinity interaction was also significant for all traits except for Plant Height during Heading, Panicle Length, Number of Panicle, Number of Grains per panicle and Number of Tillers per plant, indicating the inconsistency of the performance of genotypes by many of the traits over the salinity levels and the need for selection of rice genotypes specifically adapted to a particular salinity level. In the pot experiment an increase in salinity from 0 to 4 and to 8 dSm-1 consistently reduced growth parameters, biomass, grain yield and its components, but delayed phenology. Genotypes IR66946-3R-176-1-1 (G15) and IR68144-2B-2-2-3-2 (G8) were tolerant to salinity both during early growth and later during vegetative growth, and seed setting. IR59418-7B-21-3 (G1), IR59418-7B-27-3 (G2) and IR72593-B-18-2-2-2 (G13) were found to be salt tolerant during vegetative growth and seed setting. These five genotypes can therefore be recommended for further testing under salt stress. Higher grain yield and its components under salt stress and smaller reduction of these parameters under salt stress as compared with values under normal growth condition should be used as selection criteria to develop salt tolerant rice genotypes. AMMI biplot analysis enabled clear discrimination of genotypes response against root zone salinity stress.
    VL  - 3
    IS  - 1
    ER  - 

    Copy | Download

  • Sections